DCL-12-128, Kld TR-498, Final Report, Rev. 1, Diablo Canyon Power Plant Development of Evacuation Time Estimates.

Kld TR-498, Final Report, Rev. 1, Diablo Canyon Power Plant Development of Evacuation Time Estimates.

ML12363A209
Person / Time
Site:	Diablo Canyon
Issue date:	11/30/2012
From:	KLD Engineering, PC
To:	Office of Nuclear Reactor Regulation, Pacific Gas & Electric Co
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ML123630335	List: DCL-12-128, Diablo Canyon, Units 1 & 2, Transmittal of Evacuation Time Estimate Study for Plant Emergency Planning Zone Evacuation Time Estimate DCL-12-128, Kld TR-498, Final Report, Rev. 1, Diablo Canyon Power Plant Development of Evacuation Time Estimates. ML12363A185
References
DCL-12-128 KLD TR-498, Rev 1
Download: ML12363A209 (500)

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Diablo Canyon Power Plant Development of Evacuation Time Estimates Work performed under contract with Contingency Management Consulting Group in support of Pacific Gas and Electric Company, by:

KLD Engineering, P.C.

43 Corporate Drive Hauppauge, NY 11788 mailto:kweinisch@kldcompanies.com November 2012 Final Report, Rev. 1 KLD TR - 498

Table of Contents 1 INTRODUCTION .................................................................................................................................. 11 1.1 Overview of the ETE Process...................................................................................................... 12 1.2 The Diablo Canyon Power Plant Location .................................................................................. 13 1.3 Preliminary Activities ................................................................................................................. 15 1.4 Comparison with Prior ETE Study .............................................................................................. 19 2 STUDY ESTIMATES AND ASSUMPTIONS............................................................................................. 21 2.1 Data Estimates ........................................................................................................................... 21 2.2 Study Methodological Assumptions .......................................................................................... 22 2.3 Study Assumptions ..................................................................................................................... 26 3 DEMAND ESTIMATION ....................................................................................................................... 31 3.1 Permanent Residents ................................................................................................................. 32 3.2 Shadow Population .................................................................................................................... 37 3.3 Transient Population ................................................................................................................ 310 3.4 Employees ................................................................................................................................ 315 3.5 Medical Facilities ...................................................................................................................... 320 3.6 Total Demand in Addition to Permanent Population .............................................................. 320 3.7 Special Event ............................................................................................................................ 320 3.8 Summary of Demand ............................................................................................................... 323 4 ESTIMATION OF HIGHWAY CAPACITY................................................................................................ 41 4.1 Capacity Estimations on Approaches to Intersections .............................................................. 42 4.2 Capacity Estimation along Sections of Highway ........................................................................ 44 4.3 Application to the Diablo Canyon Power Plant Study Area ....................................................... 46 4.3.1 TwoLane Roads ................................................................................................................. 46 4.3.2 MultiLane Highway ........................................................................................................... 46 4.3.3 Freeways ............................................................................................................................ 47 4.3.4 Intersections ...................................................................................................................... 48 4.4 Simulation and Capacity Estimation .......................................................................................... 48 5 ESTIMATION OF TRIP GENERATION TIME .......................................................................................... 51 5.1 Background ................................................................................................................................ 51 5.2 Fundamental Considerations ..................................................................................................... 53 5.3 Estimated Time Distributions of Activities Preceding Event 5 ................................................... 56 5.4 Calculation of Trip Generation Time Distribution .................................................................... 511 5.4.1 Statistical Outliers ............................................................................................................ 512 5.4.2 Staged Evacuation Trip Generation ................................................................................. 516 5.4.3 Trip Generation for Waterways and Recreational Areas ................................................. 517 6 DEMAND ESTIMATION FOR EVACUATION SCENARIOS ..................................................................... 61 7 GENERAL POPULATION EVACUATION TIME ESTIMATES (ETE) .......................................................... 71 7.1 Voluntary Evacuation and Shadow Evacuation ......................................................................... 71 7.2 Staged Evacuation ...................................................................................................................... 71 7.3 Patterns of Traffic Congestion during Evacuation ..................................................................... 72 Diablo Canyon Power Plant i KLD Engineering, P.C.

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7.4 Evacuation Rates ........................................................................................................................ 74 7.5 Evacuation Time Estimate (ETE) Results .................................................................................... 74 7.6 Staged Evacuation Results ......................................................................................................... 75 7.7 Guidance on Using ETE Tables ................................................................................................... 76 8 TRANSITDEPENDENT AND SPECIAL FACILITY EVACUATION TIME ESTIMATES ................................. 81 8.1 Transit Dependent People Demand Estimate ............................................................................ 82 8.2 School Population - Transit Demand ......................................................................................... 84 8.3 Medical Facility Demand ............................................................................................................ 84 8.4 Evacuation Time Estimates for Transit Dependent People ....................................................... 85 8.5 Special Needs Population......................................................................................................... 811 8.6 Correctional Facilities ............................................................................................................... 813 9 TRAFFIC MANAGEMENT STRATEGY ................................................................................................... 91 10 EVACUATION ROUTES .................................................................................................................. 101 11 SURVEILLANCE OF EVACUATION OPERATIONS ........................................................................... 111 12 CONFIRMATION TIME .................................................................................................................. 121 List of Appendices A. GLOSSARY OF TRAFFIC ENGINEERING TERMS .................................................................................. A1 B. DYNAMIC TRAFFIC ASSIGNMENT AND DISTRIBUTION MODEL ......................................................... B1 C. DYNEV TRAFFIC SIMULATION MODEL ............................................................................................... C1 C.1 Methodology .............................................................................................................................. C5 C.1.1 The Fundamental Diagram ................................................................................................. C5 C.1.2 The Simulation Model ........................................................................................................ C5 C.1.3 Lane Assignment .............................................................................................................. C13 C.2 Implementation ....................................................................................................................... C13 C.2.1 Computational Procedure ................................................................................................ C13 C.2.2 Interfacing with Dynamic Traffic Assignment (DTRAD) ................................................... C16 D. DETAILED DESCRIPTION OF STUDY PROCEDURE .............................................................................. D1 E. SPECIAL FACILITY DATA ...................................................................................................................... E1 F. TELEPHONE SURVEY ........................................................................................................................... F1 F.1 Introduction ............................................................................................................................... F1 F.2 Survey Instrument and Sampling Plan ....................................................................................... F2 F.3 Survey Results ............................................................................................................................ F3 F.3.1 Household Demographic Results ........................................................................................... F3 F.3.2 Evacuation Response ............................................................................................................. F8 F.3.3 Time Distribution Results ..................................................................................................... F10 F.4 Conclusions .............................................................................................................................. F13 G. TRAFFIC MANAGEMENT PLAN .......................................................................................................... G1 Diablo Canyon Power Plant ii KLD Engineering, P.C.

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G.1 Traffic Control Points ................................................................................................................ G1 G.2 Access Control Points ................................................................................................................ G1 H. EVACUATION REGIONS ..................................................................................................................... H1 J. REPRESENTATIVE INPUTS TO AND OUTPUTS FROM THE DYNEV II SYSTEM ..................................... J1 K. EVACUATION ROADWAY NETWORK .................................................................................................. K1 L. PAZ BOUNDARIES ............................................................................................................................... L1 M. EVACUATION SENSITIVITY STUDIES ............................................................................................. M1 M.1 Effect of Changes in Trip Generation Times ............................................................................ M1 M.2 Effect of Changes in the Number of People in the Shadow Region Who Relocate ................. M2 M.3 Effect of Changes in EPZ Resident Population ......................................................................... M3 N. ADDITIONAL TABLES ......................................................................................................................... N1 O. ETE CRITERIA CHECKLIST ................................................................................................................... O1 Note: Appendix I intentionally skipped Diablo Canyon Power Plant iii KLD Engineering, P.C.

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List of Figures Figure 11. Diablo Canyon Power Plant Location ...................................................................................... 14 Figure 12. DCPP LinkNode Analysis Network ......................................................................................... 17 Figure 21. Voluntary Evacuation Methodology ....................................................................................... 24 Figure 22. Voluntary Evacuation Methodology Including Staged Evacuation ......................................... 25 Figure 31. DCPP EPZ ................................................................................................................................. 33 Figure 32. Permanent Resident Population by Sector ............................................................................. 35 Figure 33. Permanent Resident Vehicles by Sector ................................................................................. 36 Figure 34. Shadow Population by Sector ................................................................................................. 38 Figure 35. Shadow Vehicles by Sector ..................................................................................................... 39 Figure 36. Transient Population by Sector............................................................................................. 313 Figure 37. Transient Vehicles by Sector ................................................................................................. 314 Figure 38. Employee Population by Sector ............................................................................................ 318 Figure 39. Employee Vehicles by Sector ................................................................................................ 319 Figure 41. Fundamental Diagrams .......................................................................................................... 410 Figure 51. Events and Activities Preceding the Evacuation Trip .............................................................. 55 Figure 52. Evacuation Mobilization Activities ........................................................................................ 510 Figure 53. Comparison of Data Distribution and Normal Distribution....................................................... 514 Figure 54. Comparison of Trip Generation Distributions....................................................................... 519 Figure 55. Comparison of Staged and Unstaged Trip Generation Distributions in the 2 to 6 Mile Region and the 6 to 10 Mile Region ..................................................................................................................... 521 Figure 61. DCPP EPZ ................................................................................................................................. 66 Figure 71. Voluntary Evacuation Methodology ..................................................................................... 722 Figure 72. Voluntary Evacuation Methodology Including Staged Evacuation ....................................... 723 Figure 73. DCPP Shadow Region ............................................................................................................ 724 Figure 74. Congestion Patterns at 30 Minutes after the Evacuation Order .......................................... 725 Figure 75. Congestion Patterns at 1 Hour, 30 Minutes after the Evacuation Order ............................. 726 Figure 76. Congestion Patterns at 4 Hours, 30 Minutes after the Evacuation Order ............................ 727 Figure 77. Congestion Patterns at 6 Hours, 15 Minutes after the Evacuation Order ............................ 728 Figure 78. Congestion Patterns at 6 Hours, 45 Minutes after the Evacuation Order ............................ 729 Figure 79. Congestion Patterns at 8 Hours, 10 Minutes after the Evacuation Order ............................ 730 Figure 710. Congestion Patterns at 9 Hours, 15 Minutes after the Evacuation Order........................... 731 Figure 711. Congestion Patterns at 10 Hours, 15 Minutes after the Evacuation Order......................... 732 Figure 712. Evacuation Time Estimates Scenario 1 for Region R04 .................................................... 733 Figure 713. Evacuation Time Estimates Scenario 2 for Region R04 .................................................... 733 Figure 714. Evacuation Time Estimates Scenario 3 for Region R04 .................................................... 734 Figure 715. Evacuation Time Estimates Scenario 4 for Region R04 .................................................... 734 Figure 716. Evacuation Time Estimates Scenario 5 for Region R04 .................................................... 735 Figure 717. Evacuation Time Estimates Scenario 6 for Region R04 .................................................... 735 Figure 718. Evacuation Time Estimates Scenario 7 for Region R04 .................................................... 736 Figure 719. Evacuation Time Estimates Scenario 8 for Region R04 .................................................... 736 Figure 720. Evacuation Time Estimates Scenario 9 for Region R04 .................................................... 737 Figure 721. Evacuation Time Estimates Scenario 10 for Region R04 .................................................. 737 Figure 722. Evacuation Time Estimates Scenario 11 for Region R04 .................................................. 738 Figure 723. Evacuation Time Estimates Scenario 12 for Region R04 .................................................. 738 Figure 81. Chronology of Transit Evacuation Operations ...................................................................... 814 Diablo Canyon Power Plant iv KLD Engineering, P.C.

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Figure 82. TransitDependent Bus Routes ............................................................................................. 815 Figure 101. General Population Reception Centers and Public School Relocation Centers .................. 102 Figure 102. Evacuation Route Map ........................................................................................................ 103 Figure B1. Flow Diagram of SimulationDTRAD Interface........................................................................ B5 Figure C1. Representative Analysis Network ........................................................................................... C4 Figure C2. Fundamental Diagrams ........................................................................................................... C6 Figure C3. A UNIT Problem Configuration with t1 > 0 .............................................................................. C7 Figure C4. Flow of Simulation Processing (See Glossary: Table C3) .................................................... C15 Figure D1. Flow Diagram of Activities ..................................................................................................... D5 Figure E1. Schools within the DCPP EPZ ................................................................................................ E18 Figure E2. Schools within the DCPP EPZ - PAZs 5 and 9 ......................................................................... E19 Figure E3. Schools within the DCPP EPZ - PAZ 8 .................................................................................... E20 Figure E4. Schools within the DCPP EPZ - PAZs 3, 6, 7, 10, 11, and 12 .................................................. E21 Figure E5. Medical Facilities within the DCPP EPZ ................................................................................. E22 Figure E6. Medical Facilities within the DCPP EPZ - PAZs 5 and 9 ......................................................... E23 Figure E7. Medical Facilities within the DCPP EPZ - PAZ 8 .................................................................... E24 Figure E8. Medical Facilities within the DCPP EPZ - PAZs 6, 11, 10, and 12.......................................... E25 Figure E9. Recreational Areas within the EPZ ........................................................................................ E26 Figure E10. Recreational Areas within the EPZ - PAZs 5 and 9 ............................................................. E27 Figure E11. Recreational Areas within the DCPP EPZ - PAZs 6 and 10 .................................................. E28 Figure E12. Overview of Lodging within the DCPP EPZ.......................................................................... E29 Figure E13. Lodging within PAZs 5 and 9 of the DCPP EPZ .................................................................... E30 Figure E14. Lodging within PAZs 5 and 9 of the DCPP EPZ ..................................................................... E31 Figure E15. Lodging within PAZ 8 of the DCPP EPZ ................................................................................ E32 Figure E16. Lodging within PAZ 8 of the DCPP EPZ ................................................................................ E33 Figure E17. Lodging within PAZs 3, 6, 7, 10, and 11 of the DCPP EPZ ................................................... E34 Figure E18. Lodging within PAZs 3 and 6 of the DCPP EPZ .................................................................... E35 Figure E19. Correctional Facilities within the EPZ ................................................................................. E36 Figure E20. Overview of the facilities within the DCPP EPZ................................................................... E37 Figure E21. Facilities within PAZ 1 ......................................................................................................... E38 Figure E22. Facilities within PAZ 2 ......................................................................................................... E39 Figure E23. Facilities within PAZ 3 ......................................................................................................... E40 Figure E24. Facilities within PAZ 5 ......................................................................................................... E41 Figure E25. Facilities within PAZ 6 ......................................................................................................... E42 Figure E26. Facilities within PAZ 8 ......................................................................................................... E43 Figure E27. Facilities within PAZ 9 ......................................................................................................... E44 Figure E28. Facilities within PAZ 10 ....................................................................................................... E45 Figure E29. Facilities within PAZ 11 ....................................................................................................... E46 Figure E30. Facilities within PAZ 12 ....................................................................................................... E47 Figure F1. Household Size in the EPZ ....................................................................................................... F4 Figure F2. Household Vehicle Availability ................................................................................................ F4 Figure F3. Vehicle Availability 1 to 5 Person Households ...................................................................... F5 Figure F4. Vehicle Availability 6 to 9+ Person Households .................................................................... F5 Figure F5. Household Ridesharing Preference......................................................................................... F6 Figure F6. Commuters in Households in the EPZ ..................................................................................... F7 Figure F7. Modes of Travel in the EPZ ..................................................................................................... F8 Figure F8. Number of Vehicles Used for Evacuation ............................................................................... F9 Diablo Canyon Power Plant v KLD Engineering, P.C.

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Figure F9. Households Evacuating with Pets ........................................................................................... F9 Figure F10. Time Required to Prepare to Leave Work/School .............................................................. F11 Figure F11. Work to Home Travel Time ................................................................................................. F11 Figure F12. Time to Prepare Home for Evacuation................................................................................ F12 Figure G1. Traffic Control Points for the DCPP ....................................................................................... G2 Figure G2. TCPs in PAZ 3 ......................................................................................................................... G3 Figure G3. TCPs in PAZ 5 .......................................................................................................................... G4 Figure G4. TCPs in PAZ 6 .......................................................................................................................... G5 Figure G5. TCPs in PAZ 8 .......................................................................................................................... G6 Figure G6. TCPs in PAZ 9 .......................................................................................................................... G7 Figure G7. TCPs in PAZ 10 ........................................................................................................................ G8 Figure H1. Region R01 ............................................................................................................................. H5 Figure H2. Region R02 ............................................................................................................................. H6 Figure H3. Region R03 ............................................................................................................................. H7 Figure H4. Region R04 ............................................................................................................................. H8 Figure H5. Region R05 ............................................................................................................................. H9 Figure H6. Region R06 ........................................................................................................................... H10 Figure H7. Region R07 ........................................................................................................................... H11 Figure H8. Region R08 ........................................................................................................................... H12 Figure H9. Region R09 ........................................................................................................................... H13 Figure H10. Region R10 ......................................................................................................................... H14 Figure H11. Region R11 ......................................................................................................................... H15 Figure H12. Region R12 ......................................................................................................................... H16 Figure H13. Region R13 ......................................................................................................................... H17 Figure H14. Region R14 ......................................................................................................................... H18 Figure H15. Region R15 ......................................................................................................................... H19 Figure H16. Region R16 ......................................................................................................................... H20 Figure H17. Region R17 ......................................................................................................................... H21 Figure H18. Region R18 ......................................................................................................................... H22 Figure H19. Region R19 ......................................................................................................................... H23 Figure H20. Region R20 ......................................................................................................................... H24 Figure H21. Region R21 ......................................................................................................................... H25 Figure H22. Region R22 ......................................................................................................................... H26 Figure H23. Region R23 ......................................................................................................................... H27 Figure H24. Region R24 ......................................................................................................................... H28 Figure H25. Region R25 ......................................................................................................................... H29 Figure H26. Region R26 ......................................................................................................................... H30 Figure J2. ETE and Trip Generation: Summer, Midweek, Midday, Rain (Scenario 2) ............................... J8 Figure J3. ETE and Trip Generation: Summer, Weekend, Midday, Good Weather (Scenario 3).............. J9 Figure J4. ETE and Trip Generation: Summer, Weekend, Midday, Rain (Scenario 4) .............................. J9 Figure J5. ETE and Trip Generation: Summer, Midweek, Weekend, Evening, Good Weather (Scenario 5) ..................................................................................................................... J10 Figure J6. ETE and Trip Generation: Winter, Midweek, Midday, Good Weather (Scenario 6) .............. J10 Figure J7. ETE and Trip Generation: Winter, Midweek, Midday, Rain (Scenario 7) ............................... J11 Figure J8. ETE and Trip Generation: Winter, Weekend, Midday, Good Weather (Scenario 8) .............. J11 Figure J9. ETE and Trip Generation: Winter, Weekend, Midday, Rain (Scenario 9) ............................... J12 Figure J10. ETE and Trip Generation: Winter, Midweek, Weekend, Evening, Diablo Canyon Power Plant vi KLD Engineering, P.C.

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Good Weather (Scenario 10) ................................................................................................................... J12 Figure J11. ETE and Trip Generation: Summer, Midweek, Weekend, Evening, Special Event (Scenario 11) ...................................................................................................................... J13 Figure J12. ETE and Trip Generation: Summer, Midweek, Midday, Roadway Closure (Scenario 12) .... J13 Figure K1. Diablo Canyon LinkNode Analysis Network ........................................................................... K2 Figure K2. LinkNode Analysis Network - Grid 1 ..................................................................................... K3 Figure K3. LinkNode Analysis Network - Grid 2 ...................................................................................... K4 Figure K4. LinkNode Analysis Network - Grid 3 ...................................................................................... K5 Figure K5. LinkNode Analysis Network - Grid 4 ...................................................................................... K6 Figure K6. LinkNode Analysis Network - Grid 5 ...................................................................................... K7 Figure K7. LinkNode Analysis Network - Grid 6 ...................................................................................... K8 Figure K8. LinkNode Analysis Network - Grid 7 ...................................................................................... K9 Figure K9. LinkNode Analysis Network - Grid 8 .................................................................................... K10 Figure K10. LinkNode Analysis Network - Grid 9 .................................................................................. K11 Figure K11. LinkNode Analysis Network - Grid 10 ................................................................................ K12 Figure K12. LinkNode Analysis Network - Grid 11 ................................................................................ K13 Figure K13. LinkNode Analysis Network - Grid 12 ................................................................................ K14 Figure K14. LinkNode Analysis Network - Grid 13 ................................................................................ K15 Figure K15. LinkNode Analysis Network - Grid 14 ................................................................................ K16 Figure K16. LinkNode Analysis Network - Grid 15 ................................................................................ K17 Figure K17. LinkNode Analysis Network - Grid 16 ................................................................................ K18 Figure K18. LinkNode Analysis Network - Grid 17 ................................................................................ K19 Figure K19. LinkNode Analysis Network - Grid 18 ................................................................................ K20 Figure K20. LinkNode Analysis Network - Grid 19 ................................................................................ K21 Figure K21. LinkNode Analysis Network - Grid 20 ................................................................................ K22 Figure K22. LinkNode Analysis Network - Grid 21 ................................................................................ K23 Figure K23. LinkNode Analysis Network - Grid 22 ................................................................................ K24 Figure K24. LinkNode Analysis Network - Grid 23 ................................................................................ K25 Figure K25. LinkNode Analysis Network - Grid 24 ................................................................................ K26 Figure K26. LinkNode Analysis Network - Grid 25 ................................................................................ K27 Figure K27. LinkNode Analysis Network - Grid 26 ................................................................................ K28 Figure K28. LinkNode Analysis Network - Grid 27 ............................................................................... K29 Figure K29. LinkNode Analysis Network - Grid 28 ............................................................................... K30 Figure K30. LinkNode Analysis Network - Grid 29 ............................................................................... K31 Figure K31. LinkNode Analysis Network - Grid 30 ............................................................................... K32 Figure K32. LinkNode Analysis Network - Grid 31 ............................................................................... K33 Figure K33. LinkNode Analysis Network - Grid 32 ............................................................................... K34 Figure K34. LinkNode Analysis Network - Grid 33 ............................................................................... K35 Figure K35. LinkNode Analysis Network - Grid 34 ............................................................................... K36 Figure K36. LinkNode Analysis Network - Grid 37 ............................................................................... K37 Figure K37. LinkNode Analysis Network - Grid 36 ............................................................................... K38 Diablo Canyon Power Plant vii KLD Engineering, P.C.

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List of Tables Table 11. Stakeholder Interaction ........................................................................................................... 11 Table 12. Highway Characteristics ........................................................................................................... 15 Table 13. ETE Study Comparisons ............................................................................................................ 19 Table 21. Evacuation Scenario Definitions............................................................................................... 23 Table 22. Model Adjustment for Adverse Weather................................................................................. 28 Table 31. EPZ Permanent Resident Population ....................................................................................... 34 Table 32. Permanent Resident Population and Vehicles by PAZ ............................................................. 34 Table 33. Shadow Population and Vehicles by Sector ............................................................................. 37 Table 34. Summary of Transients and Transient Vehicles ..................................................................... 312 Table 35. Employment Growth Rate within the DCPP EPZ .................................................................... 316 Table 36. Average Percentage of NonEPZ Residents Employed in the Diablo Canyon EPZ ................. 316 Table 37. Summary of NonEPZ Resident Employees and Employee Vehicles...................................... 317 Table 38. DCPP EPZ External Traffic ....................................................................................................... 322 Table 39. Summary of Population Demand ........................................................................................... 324 Table 310. Summary of Vehicle Demand ............................................................................................... 325 Table 51. Event Sequence for Evacuation Activities ................................................................................ 53 Table 52. Time Distribution for Notifying the Public ............................................................................... 56 Table 53. Time Distribution for Employees to Prepare to Leave Work ................................................... 57 Table 54. Time Distribution for Commuters to Travel Home .................................................................. 58 Table 55. Time Distribution for Population to Prepare to Evacuate ....................................................... 59 Table 56. Mapping Distributions to Events ............................................................................................ 511 Table 57. Description of the Distributions ............................................................................................. 512 Table 58. Trip Generation Histograms for the EPZ Population for Unstaged Evacuation ..................... 520 Table 59. Trip Generation Histograms for the EPZ Population for Staged Evacuations ........................ 522 Table 61. Description of Evacuation Regions........................................................................................... 63 Table 62. Description of Staged Evacuation Regions ............................................................................... 65 Table 63. Evacuation Scenario Definitions............................................................................................... 67 Table 64. Percent of Population Groups Evacuating for Various Scenarios ............................................ 68 Table 65. Vehicle Estimates by Scenario.................................................................................................. 69 Table 71. Time to Clear the Indicated Area of 90 Percent of the Affected Population ........................... 79 Table 72. Time to Clear the Indicated Area of 100 Percent of the Affected Population ....................... 712 Table 73. Time to Clear 90 Percent of the 2Mile and 6Mile Areas within the Indicated Region ........ 715 Table 74. Time to Clear 100 Percent of the 2Mile and 6Mile Areas within the Indicated Region ...... 717 Table 75. Description of Evacuation Regions......................................................................................... 719 Table 76. Description of Staged Evacuation Regions ............................................................................. 721 Table 81. TransitDependent Population Estimates .............................................................................. 816 Table 82. School Population Demand Estimates ................................................................................... 817 Table 84. Special Facility Transit Demand ............................................................................................. 821 Table 85. Summary of Transportation Resources.................................................................................. 824 Table 86. Bus Route Descriptions .......................................................................................................... 826 Table 87. School Evacuation Time Estimates Good Weather .............................................................. 830 Table 88. School Evacuation Time Estimates Rain............................................................................... 833 Table 89. Summary of TransitDependent Bus Routes .......................................................................... 836 Table 810. TransitDependent Evacuation Time Estimates Good Weather ........................................ 837 Table 811. TransitDependent Evacuation Time Estimates Rain ......................................................... 838 Diablo Canyon Power Plant viii KLD Engineering, P.C.

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Table 812. Medical Facilities Evacuation Time Estimates Good Weather........................................... 839 Table 813. Medical Facilities Evacuation Time Estimates Rain ........................................................... 839 Table 121. Estimated Number of Telephone Calls Required for Confirmation of Evacuation .............. 123 Table A1. Glossary of Traffic Engineering Terms .................................................................................... A1 Table C1. Selected Measures of Effectiveness Output by DYNEV II ........................................................ C2 Table C2. Input Requirements for the DYNEV II Model ........................................................................... C3 Table C3. Glossary ....................................................................................................................................C8 Table E1. Schools within the EPZ ............................................................................................................. E2 Table E2. Medical Facilities within the EPZ .............................................................................................. E5 Table E3. Parks/Recreational Attractions within the EPZ ........................................................................ E9 Table E4. Lodging Facilities within the EPZ ............................................................................................ E11 Table E5. Correctional Facilities within the EPZ ..................................................................................... E17 Table F1. DCPP Telephone Survey Sampling Plan .................................................................................... F2 Table H1. Percent of PAZ Population Evacuating for Each Region ......................................................... H2 Table J1. Characteristics of the Ten Highest Volume Signalized Intersections........................................ J2 Table J3. Selected Model Outputs for the Evacuation of the Entire EPZ (Region R04) ........................... J5 Table J4. Average Speed (mph) and Travel Time (min) for Major Evacuation Routes (Region R04, Scenario 1) ................................................................................................................................................. J6 Table J5. Simulation Model Outputs at Network Exit Links for Region R04, Scenario 1 ......................... J7 Table K1. Evacuation Roadway Network Characteristics ...................................................................... K39 Table K2. Nodes in the LinkNode Analysis Network which are Controlled .......................................... K86 Table M1. Evacuation Time Estimates for Trip Generation Sensitivity Study ....................................... M1 Table M2. Evacuation Time Estimates for Shadow Sensitivity Study .................................................... M2 Table M3. ETE Variation with Population Change ................................................................................. M4 Table N1. Transient Population by Scenario and PAZ............................................................................. N2 Table N2. Transient Vehicles by Scenario and PAZ ................................................................................. N3 Table N3. Employees by Scenario and PAZ ............................................................................................. N4 Table N4. Employee Vehicles by Scenario and PAZ ................................................................................ N5 Table N5. Recreational Areas: Transient Population Summary by Scenario ......................................... N6 Table N6. Recreational Areas: Transient Vehicles Summary by Scenario ............................................. N9 Table N7. Transient Population by Scenario and PAZ: Employees and Lodging Facilities ................... N12 Table N8. Transient Population by Scenario and PAZ: State Parks and Campgrounds ....................... N13 Table N9. Transient Population by Scenario and PAZ: Local Beaches and Golf Courses ..................... N14 Table O1. ETE Review Criteria Checklist ................................................................................................. O1 Diablo Canyon Power Plant ix KLD Engineering, P.C.

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ACRONYM LIST Table 1. Acronym List ACRONYM DEFINITION AADT Average Annual Daily Traffic ACP Access Control Point ASLB Atomic Safety and Licensing Board ATIS Automated Traveler Information Systems BFFS Base Free Flow Speed D Destination DCPP Diablo Canyon Power Plant DDHV Directional Design Hourly Volume DHV Design Hour Volume DMS Dynamic Message Sign DTA Dynamic Traffic Assignment DTRAD Dynamic Traffic Assignment and Distribution DYNEV Dynamic Network Evacuation EOC Emergency Operations Center EPZ Emergency Planning Zone ETE Evacuation Time Estimate EVAN Evacuation Animator FEMA Federal Emergency Management Agency FFS Free Flow Speed FHWA Federal Highway Administration GIS Geographical Information System HAR Highway Advisory Radio HCM Highway Capacity Manual HH Household HPMS Highway Performance Monitoring System ITS Intelligent Transportation Systems LOS Level of Service MOE Measures of Effectiveness mph Miles Per Hour MUTCD Manual of Uniform Traffic Control Devices NRC United States Nuclear Regulatory Commission O Origin OD OriginDestination ORO Offsite Response Organization PAR Protective Action Recommendation PAZ Protective Action Zone Diablo Canyon Power Plant AL1 KLD Engineering, P.C.

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pce Passenger Car Equivalent pcphpl passenger car per hour per lane PEZ Public Education Zone PG&E Pacific Gas & Electric PSL PathSizeLogit QDF Queue Discharge Flow RC Reception Center S.R.C. School Relocation Center SH State Highway SLOCOES San Luis Obispo County Office of Emergency Services SV Service Volume TA Traffic Assignment TCP Traffic Control Point TD Trip Distribution UNITES Unified Transportation Engineering System USDOT United States Department of Transportation vph Vehicles Per Hour vpm Vehicles Per Minute Diablo Canyon Power Plant AL2 KLD Engineering, P.C.

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EXECUTIVE

SUMMARY

This report describes the analyses undertaken and the results obtained by a study to develop Evacuation Time Estimates (ETE) for the Diablo Canyon Power Plant (DCPP) located in San Luis Obispo County, California. ETE are part of the required planning basis and provide Pacific Gas and Electric Company and State and local governments with sitespecific information needed for Protective Action decisionmaking.

In the performance of this effort, guidance is provided by documents published by Federal Governmental agencies. Most important of these are:

Criteria for Development of Evacuation Time Estimate Studies, NUREG/CR7002, November 2011.

Criteria for Preparation and Evaluation of Radiological Emergency Response Plans and Preparedness in Support of Nuclear Power Plants, NUREG0654/FEMAREP1, Rev. 1, November 1980.

Development of Evacuation Time Estimates for Nuclear Power Plants, NUREG/CR6863, January 2005.

10CFR50, Appendix E - Emergency Planning and Preparedness for Production and Utilization Facilities Overview of Project Activities This project began in October, 2011 and extended over a period of 7 months. The major activities performed are briefly described in chronological sequence:

Attended kickoff meetings with Pacific Gas and Electric Company personnel and emergency management personnel representing state and county governments.

Accessed U.S. Census Bureau data files for the year 2010. Studied Geographical Information Systems (GIS) maps of the area in the vicinity of the plant, then conducted a detailed field survey of the highway network.

Synthesized this information to create an analysis network representing the highway system topology and capacities within the Emergency Planning Zone (EPZ), plus a Shadow Region covering the region between the EPZ boundary and approximately 20 miles radially from the plant. KLDTR 526, October 2012, analyzes the ETE for a 10mile EPZ with a Shadow Region that extends from the 10mile, Federal Emergency Management Agency (FEMA) EPZ boundary to 15 miles radially from the plant.

Designed and sponsored a telephone survey of residents within the EPZ to gather focused data needed for this ETE study that were not contained within the census database. The survey instrument was reviewed and modified by the licensee and offsite response organization (ORO) personnel prior to the survey.

Diablo Canyon Power Plant ES1 KLD Engineering, P.C.

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Data collection forms (provided to the OROs at the kickoff meeting) were returned with data pertaining to employment, transients, and special facilities in the county.

Telephone calls to specific facilities supplemented the data provided.

The traffic demand and tripgeneration rates of evacuating vehicles were estimated from the gathered data. The trip generation rates reflected the estimated mobilization time (i.e., the time required by evacuees to prepare for the evacuation trip) computed using the results of the telephone survey of EPZ residents.

Following federal guidelines, the EPZ is subdivided into 12 Protective Action Zones (PAZs). These PAZs are then grouped within circular areas or keyhole configurations (circles plus radial sectors) that define a total of 26 Evacuation Regions.

The timevarying external circumstances are represented as Evacuation Scenarios, each described in terms of the following factors: (1) Season (Summer, Winter); (2) Day of Week (Midweek, Weekend); (3) Time of Day (Midday, Evening); and (4) Weather (Good or Rain). One special event scenario involving a firework show in Morro Bay Harbor, Avila Beach, and Pismo Beach was considered. One roadway impact scenario was considered wherein a single lane was closed on US 101 southbound for the duration of the evacuation.

Staged evacuation was considered for those regions wherein the 2 mile radius and sectors downwind to 5 miles were evacuated.

As per NUREG/CR7002, the Planning Basis for the calculation of ETE is:

A rapidly escalating accident at the plant that quickly assumes the status of General Emergency such that the Evacuation Order is virtually coincident with the siren alert, and no early protective actions have been implemented.

While an unlikely accident scenario, this planning basis will yield ETE, measured as the elapsed time from the Evacuation Order until the a stated percentage of the population exits the impacted Region, that represent upper bound estimates. This conservative Planning Basis is applicable for all initiating events.

If the emergency occurs while schools are in session, the ETE study assumes that the children will be evacuated by bus directly to school relocation centers located outside the EPZ. Parents, relatives, and neighbors are advised to not pick up their children at school prior to the arrival of the buses dispatched for that purpose. The ETE for schoolchildren are calculated separately.

Evacuees who do not have access to a private vehicle will either rideshare with relatives, friends or neighbors, or be evacuated by buses provided as specified in the county evacuation plans. Those in special facilities will likewise be evacuated with public transit, as needed: bus, van, or ambulance, as required. Separate ETE are calculated for the transitdependent evacuees, for homebound special needs population, and for those evacuated from special facilities.

Computation of ETE Diablo Canyon Power Plant ES2 KLD Engineering, P.C.

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A total of 312 ETE were computed for the evacuation of the general public. Each ETE quantifies the aggregate evacuation time estimated for the population within one of the 26 Evacuation Regions to evacuate from that Region, under the circumstances defined for one of the 12 Evacuation Scenarios (26 x 12 = 312). Separate ETE are calculated for transitdependent evacuees, including schoolchildren for applicable scenarios.

Except for Region R04, which is the evacuation of the entire EPZ, only a portion of the people within the EPZ would be advised to evacuate. That is, the Evacuation Order applies only to those people occupying the specified impacted region. It is assumed that 100 percent of the people within the impacted region will evacuate in response to this advisory. The people occupying the remainder of the EPZ outside the impacted region may be advised to take shelter.

The computation of ETE assumes that 20% of the population within the EPZ but outside the impacted region, will elect to voluntarily evacuate. In addition, 20% of the population in the Shadow Region will also elect to evacuate. These voluntary evacuees could impede those who are evacuating from within the impacted region. The impedance that could be caused by voluntary evacuees is considered in the computation of ETE for the impacted region.

Staged evacuation is considered wherein those people within the 2mile region evacuate immediately, while those beyond 2 miles, but within the EPZ, shelterinplace. Once 90% of the 2mile region is evacuated, those people beyond 2 miles begin to evacuate. As per federal guidance, 20% of people beyond 2 miles will evacuate (noncompliance) even though they are advised to shelterinplace.

Staged evacuation is considered wherein those people within the 6mile region evacuate immediately, while those beyond 6 miles, but within the EPZ, shelterinplace. Once 90% of the 6mile region is evacuated, those people beyond 6 miles begin to evacuate. As per federal guidance, 20% of people beyond 6 miles will evacuate (noncompliance) even though they are advised to shelterinplace.

The computational procedure is outlined as follows:

A linknode representation of the highway network is coded. Each link represents a unidirectional length of highway; each node usually represents an intersection or merge point. The capacity of each link is estimated based on the field survey observations and on established traffic engineering procedures.

The evacuation trips are generated at locations called zonal centroids located within the EPZ and Shadow Region. The trip generation rates vary over time reflecting the mobilization process, and from one location (centroid) to another depending on population density and on whether a centroid is within, or outside, the impacted area.

The evacuation model computes the routing patterns for evacuating vehicles that are compliant with federal guidelines (outbound relative to the location of the plant), then simulate the traffic flow movements over space and time. This simulation process estimates the rate that traffic flow exits the impacted region.

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The ETE statistics provide the elapsed times for 90 percent and 100 percent, respectively, of the population within the impacted region, to evacuate from within the impacted region. These statistics are presented in tabular and graphical formats. The 90th percentile ETE have been identified as the values that should be considered when making protective action decisions because the 100th percentile ETE are prolonged by those relatively few people who take longer to mobilize. This is referred to as the evacuation tail in Section 4.0 of NUREG/CR7002. The 100th percentile ETE is when the last vehicle to evacuate crosses the EPZ boundary.

The use of a public outreach (information) program to emphasize the need for evacuees to minimize the time needed to prepare to evacuate (secure the home, assemble needed clothes, medicines, etc.) should also be considered.

Traffic Management This study references the comprehensive traffic management plans provided by San Luis Obispo County, and identifies critical intersections.

Selected Results A compilation of selected information is presented on the following pages in the form of Figures and Tables extracted from the body of the report; these are described below.

Figure 61 displays a map of the DCPP EPZ showing the layout of the 12 PAZs that comprise, in aggregate, the EPZ.

Table 31 presents the estimates of permanent resident population in each PAZ based on the 2010 Census data.

Table 61 and Table 62 defines each of the 26 Evacuation Regions in terms of their respective groups of PAZ.

Table 63 lists the Evacuation Scenarios.

Tables 71 and 72 are compilations of ETE. These data are the times needed to clear the indicated regions of 90 and 100 percent of the population occupying these regions, respectively. These computed ETE include consideration of mobilization time and of estimated voluntary evacuations from other regions within the EPZ and from the Shadow Region.

Table 73 and 74 present ETE for the 2mile region for unstaged and staged evacuations for the 90th and 100th percentiles, respectively.

Table 87 presents ETE for the schoolchildren in good weather.

Table 810 presents ETE for the transitdependent population in good weather.

Figure H8 presents an example of an Evacuation Region (Region R08) to be evacuated under the circumstances defined in Table 61. Maps of all regions are provided in Appendix H.

Conclusions General population ETE were computed for 312 unique cases - a combination of 26 unique Evacuation Regions and 12 unique Evacuation Scenarios. Table 71 and Table 72 document these ETE for the 90th and 100th percentiles. These ETE range from 1:00 Diablo Canyon Power Plant ES4 KLD Engineering, P.C.

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(hr:min) to 11:45 at the 90th percentile.

Inspection of Table 71 and Table 72 indicates that the ETE for the 100th percentile are significantly longer than those for the 90th percentile. This is the result of the congestion within the EPZ. When the system becomes congested, traffic exits the EPZ at rates somewhat below capacity until some evacuation routes have cleared. As more routes clear, the aggregate rate of egress slows since many vehicles have already left the EPZ.

Towards the end of the process, relatively few evacuation routes service the remaining demand. See Figures 711 through 722.

Inspection of Table 73 and Table 74 indicates that a staged evacuation provides no benefits to evacuees from within the 2 mile region (compare Regions R01 with Region R21, respectively, in Tables 71 and 72). These tables also indicate that a staged evacuation of the 10mile region provides no benefits to evacuees from within the 6 mile region (compare Regions R22 through R26 with Regions R05, R06, R02, R07 and R08 respectively). See Section 7.6 for additional discussion.

Comparison of Scenarios 5 (summer, midweek/weekend, evening) and 13 (summer, weekend, evening) in Table 72 indicates that the special event does materially affect the ETE for PAZs evacuating to the south. See Section 7.5 for additional discussion.

Comparison of Scenarios 1 and 14 in Table 71 indicates that the roadway closure - one lane southbound on US 101 from the interchange with Los Osos Valley Rd to the interchange with State Highway 166- does have a material impact on 90th percentile ETE for keyhole regions with wind towards the south and southeast (Regions R15 through R19), with up to a two hour increase in ETE for the full EPZ. Wind from the north and east carries the plume over Grover Beach and Arroyo Grande, which routes traffic onto US 101 southbound. With a lane closed on US 101 southbound in the Grover Beach and Arroyo Grande, the capacity of US 101 is reduced to half, increasing congestion and prolonging ETE. Regions that involve evacuation predominately northbound along US 101 and SH 1, and are not materially impacted by the decreased capacity southbound along US 101. See Section 7.5 for additional discussion.

Arroyo Grande and Grover Beach are the two most congested areas during an evacuation. The last locations in the EPZ to exhibit traffic congestion are in Arroyo Grande to the east and SH 1 to the south; this is the result of limited evacuation routes.

All congestion within the EPZ clears by 10 hours1.157407e-4 days <br />0.00278 hours <br />1.653439e-5 weeks <br />3.805e-6 months <br /> and 15 minutes after the Evacuation Order. See Section 7.3 and Figures 73 through 78.

Separate ETE were computed for schools, medical facilities, transitdependent persons, homebound special needs persons and correctional facilities. The average singlewave ETE for these facilities are within a similar range as the general population ETE at the 90th percentile. See Section 8.

Table 85 indicates that there are not enough transportation resources available to evacuate the transitdependent population within the EPZ in a single wave. The second wave ETE for buses do exceed the general population ETE at the 90th percentile. See Sections 8.4 and 8.5.

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The general population ETE at the 11th percentile is insensitive to reductions in the base trip generation time of 41/2 hours due to the traffic congestion within the EPZ. See Table M1.

The general population ETE is relatively insensitive (tripling the shadow evacuation percentage only increases 90th percentile ETE by 10 minutes) to the voluntary evacuation of vehicles in the Shadow Region. See Table M2.

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Figure 61. DCPP EPZ PAZs Diablo Canyon Power Plant ES7 KLD Engineering, P.C.

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Table 31. EPZ Permanent Resident Population PAZ 2000 Population 2010 Population 1 2 0 2 168 168 3 2,069 2,736 4 637 713 5 14,661 14,217 6 7,760 6,562 7 56 281 8 57,320 60,962 9 13,502 13,126 10 36,060 37,476 11 3,481 4,205 12 4,941 6,775 TOTAL 140,657 147,221 EPZ Population Growth: 4.67%

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Table 61. Description of Evacuation Regions PAZ Corresponds to PG&E Scenario Region Description 1 2 3 4 5 6 7 8 9 10 11 12 Number:

R01 2Mile Ring X N/A 6Mile Ring (similar to the FEMA 5 X X 1 Base R02 mile ring)

R03 FEMA EPZ X X X X X N/A R04 Full EPZ X X X X X X X X X X X X 10 BEPZ Evacuate 2Mile Radius and Downwind to 6 Miles Wind Direction PAZ Region From: 1 2 3 4 5 6 7 8 9 10 11 12 SE, SSE, S, SSW, SW, WSW, W, WNW, NW, Refer to Region R02 1 Base NNW N, NNE, NE, ENE, E, ESE Refer to Region R01 N/A Evacuate 6Mile Radius and Downwind to 10 miles Wind Direction PAZ Region From: 1 2 3 4 5 6 7 8 9 10 11 12 R05 SSE, S X X X 2 NorthA R06 SSW, SW X X X X N/A WSW Refer to Region R03 N/A R07 W, WNW X X X X N/A 6 Southeast NW, NNW R08 X X X A N, NNE, NE, ENE, E, ESE, Refer to Region R02 1 Base SE Evacuate 6Mile Radius and Downwind to 13 miles PAZ Region Wind Direction From: 1 2 3 4 5 6 7 8 9 10 11 12 R09 SSE, S X X X X 3 NorthB 5 North &

R10 SSW, SW X X X X X X East R11 WSW X X X X X X X X N/A R12 W, WNW X X X X X X X N/A 7 Southeast R13 NW, NNW X X X X X B N, NNE, NE, ENE, E, ESE, Refer to Region R02 1 Base SE Diablo Canyon Power Plant ES9 KLD Engineering, P.C.

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Table 61. Description of Evacuation Regions Continued Evacuate 6Mile Radius and Downwind to 15 miles Corresponds PAZ to PG&E Scenario Region Wind Direction From: 1 2 3 4 5 6 7 8 9 10 11 12 Number:

SSE, S Refer to Region R09 3 NorthB 5 North &

SSW, SW Refer to Region R10 East R14 WSW X X X X X X X X X N/A R15 W, WNW X X X X X X X X X N/A 8

R16 NW, NNW X X X X X X X SoutheastC N, NNE, NE, ENE, E, ESE, SE Refer to Region R02 1 Base Evacuate 6Mile Radius and Downwind to EPZ Boundary PAZ Region Wind Direction From: 1 2 3 4 5 6 7 8 9 10 11 12 SSE, S Refer to Region R09 3 NorthB 5 North &

SSW, SW Refer to Region R10 East WSW Refer to Region R14 N/A R17 W, WNW X X X X X X X X X X N/A 9

R18 NW X X X X X X X X SoutheastD NNW, N, NNE, NE, ENE, E, R19 X X X N/A ESE, SE N, NNE, NE, ENE, N, ESE, SE Refer to Region R02 1 Base Site Specific Regions PAZ Region Wind Direction From: 1 2 3 4 5 6 7 8 9 10 11 12 R20 W X X X X 4 East (all)

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Table 62. Description of Staged Evacuation Regions Staged Evacuation 2Mile Radius Evacuates, then Evacuate Downwind to 6 Miles PAZ Region Wind Direction From: 1 2 3 4 5 6 7 8 9 10 11 12 SE, SSE, S, SSW, SW, WSW, W, WNW, X X N/A R21 NW, NNW N, NNE, NE, ENE, E, ESE Refer to Region R01 N/A PAZ(s) Shelterin ShelterinPlace until 90% ETE for R01, then Evacuate Place PAZ(s) Evacuate Staged Evacuation 6Mile Radius Evacuates, then Evacuate Downwind to 10 Miles PAZ Region Wind Direction From: 1 2 3 4 5 6 7 8 9 10 11 12 R22 SSE, S X X X N/A R23 SSW, SW X X X X N/A R24 WSW X X X X X N/A R25 W, WNW X X X X N/A R26 NW X X X N/A NNW, N, NNE, NE, ENE, E, ESE, SE Refer to Region R02 N/A PAZ(s) Shelterin ShelterinPlace until 90% ETE for R02, then Evacuate Place PAZ(s) Evacuate Diablo Canyon Power Plant ES11 KLD Engineering, P.C.

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Table 63. Evacuation Scenario Definitions Scenarios Season1 Day of Week Time of Day Weather Special 1 Summer Midweek Midday Good None 2 Summer Midweek Midday Rain None 3 Summer Weekend Midday Good None 4 Summer Weekend Midday Rain None Midweek, 5 Summer Evening Good None Weekend 6 Winter Midweek Midday Good None 7 Winter Midweek Midday Rain None 8 Winter Weekend Midday Good None 9 Winter Weekend Midday Rain None Midweek, 10 Winter Evening Good None Weekend Firework Shows at Avila Beach, 11 Summer Midweek Evening Good Pismo Beach, and Morro Bay Harbor Lane Closure outbound on 12 Summer Midweek Midday Good US 101 Southbound 1

Winter assumes that school is in session (also applies to spring and autumn). Summer assumes that school is not in session.

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Table 71. Time to Clear the Indicated Area of 90 Percent of the Affected Population Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact Entire 2Mile Region, 6Mile Region, and EPZ R01 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 (PAZ 1)

R02 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2)

R03 (PAZ 1, 2, 3, 4, 2:45 3:00 2:45 3:00 2:50 2:50 3:05 2:45 2:55 2:45 6:15 3:45 5)

R04 (PAZ 1, 2, 3, 4, 8:20 9:10 7:30 8:15 6:45 8:05 8:50 7:05 7:45 6:30 11:40 10:25 5, 6, 7, 8, 9, 10, 11, 12) 6Mile Ring and Keyhole to 10 Miles R05 2:55 3:10 2:50 3:05 2:45 2:55 3:10 2:45 3:05 2:45 2:45 2:50 (PAZ 1, 2, 5)

R06 2:55 3:15 2:55 3:10 2:50 2:55 3:10 2:50 3:05 2:50 2:45 2:55 (PAZ 1, 2, 4, 5)

R07 1:35 1:45 1:25 1:40 1:35 1:35 1:40 1:25 1:40 1:40 6:40 2:45 (PAZ 1, 2, 3, 4)

R08 1:40 1:45 1:25 1:35 1:30 1:35 1:40 1:25 1:30 1:35 6:35 2:50 (PAZ 1, 2, 3) 6Mile Ring and Keyhole to 13 Miles R09 4:05 4:25 4:05 4:15 3:40 3:55 4:15 3:45 3:55 3:30 4:35 4:15 (PAZ 1, 2, 5, 9)

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Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact R10 (PAZ 1, 2, 4, 5, 5:55 6:10 5:25 5:30 5:05 5:40 6:00 4:55 5:20 4:50 5:35 6:30 8, 9)

R11 (PAZ 1, 2, 3, 4, 6:05 6:55 5:25 6:10 4:55 6:15 6:25 5:00 5:45 4:55 7:05 7:30 5, 7, 8, 9)

R12 (PAZ 1, 2, 3, 4, 5:35 6:00 4:45 5:20 4:10 5:25 5:55 4:25 4:55 4:05 10:55 7:15 6, 7, 8)

R13 (PAZ 1, 2, 3, 6, 2:35 2:55 2:25 2:35 2:05 2:25 2:35 2:15 2:25 2:00 9:50 3:55 7) 6Mile Ring and Keyhole to 15 Miles R14 (PAZ 1, 2, 3, 4, 6:25 7:00 5:45 6:00 5:10 6:25 6:55 5:30 6:05 5:00 7:05 7:35 5, 7, 8, 9, 11)

R15 (PAZ 1, 2, 3, 4, 7:45 8:20 6:55 7:25 6:00 7:25 8:10 6:30 7:00 5:45 11:15 9:45 6, 7, 8, 10, 11)

R16 (PAZ 1, 2, 3, 6, 5:55 6:20 5:40 6:15 5:00 5:25 6:00 5:10 5:35 4:50 9:40 7:45 7, 10, 11) 6Mile Ring and Keyhole to EPZ Boundary R17 (PAZ 1, 2, 3, 4, 8:00 8:45 7:25 8:00 6:20 7:50 8:35 6:50 7:25 6:10 11:20 10:30 6, 7, 8, 10, 11, 12)

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Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact R18 (PAZ 1, 2, 3, 6, 6:20 7:00 6:30 6:40 5:30 6:10 6:45 5:40 6:15 5:20 9:45 8:35 7, 10, 11, 12)

R19 2:45 3:05 2:35 2:50 2:20 2:40 3:00 2:30 2:45 2:20 3:05 3:55 (PAZ 1, 2, 12)

Site Specific Regions R20 4:40 5:05 3:55 4:30 3:40 4:30 4:55 3:40 4:10 3:40 4:50 6:00 (PAZ 1, 2, 4, 8)

Staged Evacuation 2Mile Ring and Keyhole to 6 Miles R21 1:15 1:15 1:35 1:35 1:45 1:15 1:20 1:45 1:45 1:50 1:50 1:15 (PAZ 1, 2)

Staged Evacuation 6Mile Ring and Keyhole to 10 Miles R22 3:20 3:35 3:20 3:35 3:20 3:20 3:35 3:20 3:35 3:20 3:20 3:20 (PAZ 1, 2, 5)

R23 3:20 3:35 3:25 3:40 3:25 3:20 3:40 3:20 3:35 3:20 3:25 3:20 (PAZ 1, 2, 4, 5)

R24 (PAZ 1, 2, 3, 4, 3:15 3:30 3:15 3:30 3:20 3:20 3:30 3:15 3:30 3:20 5:55 3:30 5)

R25 1:50 1:55 1:50 1:55 2:15 1:55 1:55 1:55 1:55 2:15 6:30 3:00 (1, 2, 3, 4)

R26 1:45 1:55 1:50 1:50 2:10 1:45 1:45 1:50 1:50 2:10 6:55 2:55 (PAZ 1, 2, 3)

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Table 72. Time to Clear the Indicated Area of 100 Percent of the Affected Population Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact Entire 2Mile Region, 6Mile Region, and EPZ R01 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 (PAZ 1)

R02 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2)

R03 (PAZ 1, 2, 3, 4, 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 9:20 5:00 5)

R04 (PAZ 1, 2, 3, 4, 10:15 11:20 10:15 11:35 9:35 10:15 10:50 9:40 10:20 9:10 19:05 13:30 5, 6, 7, 8, 9, 10, 11, 12) 6Mile Ring and Keyhole to 10 Miles R05 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 (PAZ 1, 2, 5)

R06 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 (PAZ 1, 2, 4, 5)

R07 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 9:20 4:40 (PAZ 1, 2, 3, 4)

R08 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 8:25 4:40 (PAZ 1, 2, 3) 6Mile Ring and Keyhole to 13 Miles R09 5:15 5:45 5:10 5:30 4:45 5:05 5:30 4:50 5:05 4:45 5:35 5:25 (PAZ 1, 2, 5, 9)

Diablo Canyon Power Plant ES16 KLD Engineering, P.C.

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Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact R10 (PAZ 1, 2, 4, 5, 8:00 8:25 7:25 7:45 6:45 7:45 8:25 6:50 7:25 6:40 7:35 8:15 8, 9)

R11 (PAZ 1, 2, 3, 4, 8:00 8:40 7:20 7:55 6:50 7:45 8:20 7:00 7:35 6:45 13:20 9:00 5, 7, 8, 9)

R12 (PAZ 1, 2, 3, 4, 7:25 7:50 6:15 6:55 5:35 7:15 7:55 5:55 6:35 5:30 16:35 8:40 6, 7, 8)

R13 (PAZ 1, 2, 3, 6, 4:45 4:45 4:45 4:45 4:45 4:45 4:45 4:45 4:45 4:45 15:55 5:15 7) 6Mile Ring and Keyhole to 15 Miles R14 (PAZ 1, 2, 3, 4, 8:00 8:45 7:15 7:40 6:55 7:55 8:40 7:00 7:30 6:50 12:55 9:15 5, 7, 8, 9, 11)

R15 (PAZ 1, 2, 3, 4, 9:40 10:25 9:50 10:45 8:30 9:35 10:25 8:55 9:30 8:20 17:45 12:45 6, 7, 8, 10, 11)

R16 (PAZ 1, 2, 3, 6, 8:55 10:00 9:00 9:50 7:35 7:55 8:30 8:05 8:30 7:00 16:05 10:10 7, 10, 11) 6Mile Ring and Keyhole to EPZ Boundary R17 (PAZ 1, 2, 3, 4, 10:15 11:00 10:15 11:25 9:10 10:05 10:45 9:35 10:15 9:00 18:30 13:20 6, 7, 8, 10, 11, 12)

Diablo Canyon Power Plant ES17 KLD Engineering, P.C.

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Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact R18 (PAZ 1, 2, 3, 6, 9:40 10:30 9:45 10:35 8:20 9:05 9:45 8:35 9:30 7:50 16:25 11:00 7, 10, 11, 12)

R19 4:50 4:50 4:50 4:50 4:50 4:50 4:50 4:50 4:50 4:50 4:50 4:50 (PAZ 1, 2, 12)

Site Specific Regions R20 6:35 7:10 5:20 6:10 5:05 6:25 7:00 5:10 5:55 5:00 6:15 7:45 (PAZ 1, 2, 4, 8)

Staged Evacuation 2Mile Ring and Keyhole to 6 Miles R21 3:30 3:30 3:30 3:30 3:30 3:30 3:30 3:30 3:30 3:30 3:30 3:30 (PAZ 1, 2)

Staged Evacuation 6Mile Ring and Keyhole to 10 Miles R22 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 5)

R23 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 4, 5)

R24 (PAZ 1, 2, 3, 4, 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 8:35 4:35 5)

R25 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 8:25 4:35 (1, 2, 3, 4)

R26 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 8:40 4:35 (PAZ 1, 2, 3)

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Table 73. Time to Clear 90 Percent of the 2Mile Region Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact Entire 2Mile Region and 6Mile Region R01 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 (PAZ 1)

R02 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2)

R03 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 3, 4, 5)

R05 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 5)

R06 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 4, 5)

R07 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 3, 4)

R08 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 3)

Staged Evacuation 2Mile Ring and Keyhole to 6 Miles R21 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 (PAZ 1, 2)

Staged Evacuation 6Mile Ring and Keyhole to 10 Miles R22 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 5)

R23 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 4, 5)

R24 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 3, 4, 5)

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Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact R25 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (1, 2, 3, 4)

R26 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 3)

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Table 74. Time to Clear 100 Percent of the 2Mile Region Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact Entire 2Mile Region and 6Mile Region R01 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 (PAZ 1)

R02 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2)

R03 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 3, 4, 5)

R05 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 5)

R06 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 4, 5)

R07 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 3, 4)

R08 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 3)

Staged Evacuation 2Mile Ring and Keyhole to 6 Miles R21 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 (PAZ 1, 2)

Staged Evacuation 6Mile Ring and Keyhole to 10 Miles R22 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 5)

R23 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 4, 5)

R24 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 3, 4, 5)

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Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact R25 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (1, 2, 3, 4)

R26 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 3)

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Table 87. School Evacuation Time Estimates - Good Weather Travel Time Travel Dist. EPZ from Driver Loading Dist. To Average Time to bdry to EPZ Bdry ETE to Mobilization Time EPZ Bdry Speed EPZ Bdry ETE S.R.C. to S.R.C. S.R.C.

School Time (min) (mi.) (mph) (min.) (hr:min) (mi.) (min) (hr:min)

SAN LUIS OBISPO SCHOOLS Arroyo Grande High School 120 15 6.63 6.57 61 3:20 1.87 2 3:20 Arroyo Grande Montessori 120 15 6.03 9.33 39 2:55 1.87 2 3:00 Baywood Elementary School 120 15 15.76 4.74 200 5:35 25.42 28 6:05 BellevueSanta Fe Charter School 120 15 8.87 2.46 216 5:55 1.87 2 5:55 Bishop Peak Elementary School 120 15 15.76 10.88 87 3:45 25.42 28 4:10 Branch Elementary School 120 15 8.83 11.48 46 3:05 1.87 2 3:05 C. L. Smith Elementary School 120 15 6.86 2.70 152 4:50 25.97 28 5:15 California Polytechnic State University 120 15 3.88 2.99 78 3:35 25.97 28 4:05 Cayucos Elementary School 120 15 1.52 14.60 6 2:25 11.94 13 2:35 Charles E. Teach Elementary School 120 15 5.47 9.80 33 2:50 36.23 40 3:30 Christian Day School 120 15 5.17 6.40 48 3:05 25.97 28 3:35 Coastal Christian High School 120 15 6.52 6.57 60 3:15 25.97 28 3:45 Dandy Lion Montessori 120 15 8.35 8.44 59 3:15 1.87 2 3:20 Del Mar Elementary School 120 15 4.52 41.90 6 2:25 25.42 28 2:50 Discovery House Montessori 120 15 6.45 2.67 145 4:40 25.97 28 5:10 Fairgrove Elementary School 120 15 8.71 8.44 62 3:20 1.87 2 3:20 Grizzly Challenge Charter School 120 15 12.81 9.00 85 3:40 25.42 28 4:10 Grover Beach Elementary School 120 15 7.85 4.57 103 4:00 1.87 2 4:00 Grover Heights Elementary School 120 15 8.10 4.24 115 4:10 1.87 2 4:15 Harloe Elementary School 120 15 6.66 8.28 48 3:05 1.87 2 3:05 Hawthorne Elementary School 120 15 4.73 6.40 44 3:00 25.97 28 3:30 Heartland Christian Academy 120 15 10.93 3.05 215 5:50 25.42 28 6:20 Judkins Middle School 120 15 9.64 3.41 170 5:05 1.87 2 5:10 Diablo Canyon Power Plant ES23 KLD Engineering, P.C.

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Travel Time Travel Dist. EPZ from Driver Loading Dist. To Average Time to bdry to EPZ Bdry ETE to Mobilization Time EPZ Bdry Speed EPZ Bdry ETE S.R.C. to S.R.C. S.R.C.

School Time (min) (mi.) (mph) (min.) (hr:min) (mi.) (min) (hr:min)

Juvenile Court Community School 120 15 13.01 9.40 83 3:40 25.42 28 4:10 Laguna Middle School 120 15 6.58 2.55 155 4:50 25.97 28 5:20 Laureate Private School 120 15 19.17 5.80 198 5:35 25.42 28 6:05 Liberty Christian School 120 15 6.89 3.04 136 4:35 25.97 28 5:00 Lighthouse Christian School 120 15 6.63 6.57 61 3:20 1.87 2 3:20 Loma Vista Community School 120 15 11.51 8.20 84 3:40 25.42 28 4:10 Lopez Continuation High School 120 15 7.40 8.33 53 3:10 1.87 2 3:10 Lopez High School 120 15 5.26 7.56 42 3:00 4.56 5 3:05 Los Osos Middle School 120 15 8.42 3.42 148 4:45 25.42 28 5:15 Los Ranchos Elementary School 120 15 8.81 6.21 85 3:40 25.97 28 4:10 Manzanita School 120 15 8.95 3.44 156 4:55 25.42 28 5:20 Mesa Middle School 120 15 6.86 7.65 54 3:10 4.56 5 3:15 Mesa View Community School 120 15 5.26 7.56 42 3:00 4.56 5 3:05 Mission College Prep 120 15 3.77 8.90 25 2:40 25.97 28 3:10 Monarch Grove Elementary School 120 15 11.10 3.14 212 5:50 25.42 28 6:15 Montessori Children's School 120 15 6.89 3.04 136 4:35 25.97 28 5:00 Morro Bay High School 120 15 3.56 22.40 10 2:25 25.42 28 2:55 North Oceano Elementary School 120 15 7.89 5.60 85 3:40 1.87 2 3:45 Ocean View Elementary School 120 15 6.77 8.58 47 3:05 1.87 2 3:05 Oceano Elementary School 120 15 9.23 3.66 151 4:50 25.97 28 5:15 Olive Grove Charter School 120 15 3.06 3.82 48 3:05 25.97 28 3:35 Pacheco Elementary School 120 15 15.98 10.88 88 3:45 25.42 28 4:15 Pacific Beach High School 120 15 6.34 2.73 139 4:35 25.97 28 5:05 Paulding Middle School 120 15 6.81 6.90 59 3:15 1.87 2 3:20 Peace Christian School 120 15 7.35 4.47 99 3:55 25.42 28 4:25 Diablo Canyon Power Plant ES24 KLD Engineering, P.C.

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Travel Time Travel Dist. EPZ from Driver Loading Dist. To Average Time to bdry to EPZ Bdry ETE to Mobilization Time EPZ Bdry Speed EPZ Bdry ETE S.R.C. to S.R.C. S.R.C.

School Time (min) (mi.) (mph) (min.) (hr:min) (mi.) (min) (hr:min)

Rancho El Chorro Environmental Education 120 15 10.80 8.20 79 3:35 25.42 28 4:05 School Royal Oaks Christian School 120 15 7.54 4.21 107 4:05 1.87 2 4:05 Saint Patrick's School 120 15 6.61 7.55 53 3:10 1.87 2 3:10 San Luis Classical Academy 120 15 3.06 3.82 48 3:05 25.97 28 3:35 San Luis Community School 120 15 6.17 2.73 136 4:35 25.97 28 5:00 San Luis Obispo Christian School 120 15 3.65 3.90 56 3:15 25.97 28 3:40 San Luis Obispo High School 120 15 3.17 4.80 40 2:55 25.97 28 3:25 Shell Beach Elementary School 120 15 13.14 3.03 260 6:35 1.87 2 6:40 Sinsheimer Elementary School 120 15 4.36 3.68 71 3:30 25.97 28 3:55 Sunnyside Elementary School 120 15 10.08 3.05 199 5:35 25.42 28 6:05 Sonshine Preschool, Kindergarten, and 120 15 10.45 3.27 192 5:30 25.42 28 5:55 Afterschool The Pinehurst Academy 120 15 4.28 6.30 41 3:00 25.97 28 3:25 Valley View Adventist Academy 120 15 6.19 8.22 45 3:00 1.87 2 3:05 Maximum for EPZ: 6:35 Maximum: 6:40 Average for EPZ: 3:52 Average: 4:10 Diablo Canyon Power Plant ES25 KLD Engineering, P.C.

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Table 810. TransitDependent Evacuation Time Estimates - Good Weather OneWave TwoWave Travel Number Distance Route Bus Route Time Route of Length Speed Pickup to Rec. Driver Pickup Number Number 2 Mobilization Travel ETE to Unload Travel ETE Stops (miles) (mph) Time Ctr Rest Time Time Rec. Time (miles)

Ctr 18 30 90 16 11.2 86 30 3:30 36 39 5 10 144 30 7:20 29 916 30 110 16 13.9 69 30 3:30 36 39 5 10 144 30 7:20 1725 30 130 16 14.6 66 30 3:50 36 39 5 10 125 30 7:20 30 12 30 90 18 4.3 252 30 6:15 12 13 5 10 119 30 9:15 118 30 90 13 6.1 127 30 4:10 26 28 5 10 112 30 7:20 31 1936 30 110 13 6.6 118 30 4:20 26 28 5 10 111 30 7:25 3754 30 130 13 7.3 107 30 4:30 26 28 5 10 110 30 7:35 111 30 90 24 5.8 249 30 6:10 15 16 5 10 195 30 10:30 32 1222 30 110 24 6.0 241 30 6:25 15 16 5 10 180 30 10:30 2333 30 130 24 6.2 231 30 6:35 15 16 5 10 177 30 10:35 Maximum ETE: 6:35 Maximum ETE: 10:35 Average ETE: 4:55 Average ETE: 8:35 2

Bus routes service predefined carless collection points as well as flag stops wherein residents walk to the nearest major route and flag down passing buses.

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Figure H8. Region R08 Diablo Canyon Power Plant ES27 KLD Engineering, P.C.

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1 INTRODUCTION This report describes the analyses undertaken and the results obtained by a study to develop Evacuation Time Estimates (ETE) for the Diablo Canyon Power Plant (DCPP), located in San Luis Obispo, California. ETE provide State and local governments with sitespecific information needed for Protective Action decisionmaking.

In the performance of this effort, guidance is provided by documents published by Federal Governmental agencies. Most important of these are:

• Criteria for Development of Evacuation Time Estimate Studies, NUREG/CR7002, November 2011.

• Criteria for Preparation and Evaluation of Radiological Emergency Response Plans and Preparedness in Support of Nuclear Power Plants, NUREG 0654/FEMA REP 1, Rev. 1, November 1980.

• Analysis of Techniques for Estimating Evacuation Times for Emergency Planning Zones, NUREG/CR 1745, November 1980.

• Development of Evacuation Time Estimates for Nuclear Power Plants, NUREG/CR 6863, January 2005.

The work effort reported herein was supported and guided by local stakeholders who contributed suggestions, critiques, and the local knowledge base required. Table 11 presents a summary of stakeholders and interactions.

Table 11. Stakeholder Interaction Stakeholder Nature of Stakeholder Interaction Meetings to define data requirements and set up Pacific Gas and Electric emergency planning contacts with local government agencies. Review personnel and approval of telephone survey instrument and of key project assumptions.

Meetings to define data requirements and set up contacts with local government agencies. Obtain San Luis Obispo County Office of Emergency local emergency plans, special facility data.

Services (SLOCOES)

Review and approval of telephone survey instrument and of key project assumptions.

State of California Emergency Plan. Review and California State Emergency Management Office approval of telephone survey instrument and of key project assumptions.

Local and State Police Agencies Obtain existing traffic management plans Other agencies (school districts, planning Obtain special facility data department, GIS department, state/local DOT, Long Term Care Ombudsmens Office, etc.)

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1.1 Overview of the ETE Process The following outline presents a brief description of the work effort in chronological sequence:

1. Information Gathering:

a. Defined the scope of work in discussions with representatives from Pacific Gas and Electric Company (PG&E).

b. Attended meetings with emergency planners from San Luis Obispo County Office of Emergency Services to identify issues to be addressed and resources available.

c. Conducted a detailed field survey of the highway system and of area traffic conditions within the Emergency Planning Zone (EPZ) and Shadow Region.

d. Obtained demographic data from census, state and local agencies.

e. Conducted a random sample telephone survey of EPZ residents.

f. Conducted a data collection effort to identify and describe schools, special facilities, major employers, transportation providers, and other important information. School and special facility data was provided by the county. Major employment data was obtained using Longitudinal EmployerHousehold Dynamics Census data.

2. Estimated distributions of Trip Generation times representing the time required by various population groups (permanent residents, employees, and transients) to prepare (mobilize) for the evacuation trip. These estimates are primarily based upon the random sample telephone survey.

3. Defined Evacuation Scenarios. These scenarios reflect the variation in demand, in trip generation distribution and in highway capacities, associated with different seasons, day of week, time of day and weather conditions.

4. Reviewed the existing traffic management plan to be implemented by local and state police in the event of an incident at the plant. Traffic control is applied at specified Traffic Control Points (TCP) located within the EPZ.

5. Used existing PAZs to define Evacuation Regions. The EPZ is partitioned into 12 Protective Action Zones (PAZs) along jurisdictional and geographic boundaries.

Regions are groups of contiguous PAZs for which ETE are calculated. The configurations of these Regions reflect wind direction and the radial extent of the impacted area. Each Region, other than those that approximate circular areas, approximates a keyhole section within the EPZ as recommended by NUREG/CR7002.

6. Estimated demand for transit services for persons at Special Facilities and for transit dependent persons at home.

7. Prepared the input streams for the DYNEV II system.

a. Estimated the evacuation traffic demand, based on the available information Diablo Canyon Power Plant 12 KLD Engineering, P.C.

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derived from Census data, and from data provided by local and state agencies, PG&E and from the telephone survey.

b. Applied the procedures specified in the 2010 Highway Capacity Manual (HCM1) to the data acquired during the field survey, to estimate the capacity of all highway segments comprising the evacuation routes.

c. Developed the linknode representation of the evacuation network, which is used as the basis for the computer analysis that calculates the ETE.

d. Calculated the evacuating traffic demand for each Region and for each Scenario.

e. Specified selected candidate destinations for each origin (location of each source where evacuation trips are generated over the mobilization time) to support evacuation travel consistent with outbound movement relative to the location of the plant.

8. Executed the DYNEV II model to provide the estimates of evacuation routing and ETE for all residents, transients and employees (general population) with access to private vehicles. Generated a complete set of ETE for all specified Regions and Scenarios.

9. Documented ETE in formats in accordance with NUREG/CR7002.

10. Calculated the ETE for all transit activities including those for special facilities (schools, medical facilities, etc.), for the transitdependent population and for homebound special needs population.

1.2 The Diablo Canyon Power Plant Location The Diablo Canyon Power Plant is located along the shores of the Pacific Ocean in San Luis Obispo County, CA. The site is approximately 150 miles northwest of Los Angeles, CA and 200 miles south of San Francisco, CA. The Emergency Planning Zone (EPZ) consists of Morro Bay, BaywoodLos Osos, Arroyo Grande, Grover Beach, and San Luis Obispo. Figure 11 displays the area surrounding the plant. This map identifies the major cities in the area and the major roads.

1 Highway Capacity Manual (HCM 2010), Transportation Research Board, National Research Council, 2010.

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Figure 11. Diablo Canyon Power Plant Location Diablo Canyon Power Plant 14 KLD Engineering, P.C.

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1.3 Preliminary Activities These activities are described below.

Field Surveys of the Highway Network KLD personnel drove the entire highway system within the EPZ and the Shadow Region which consists of the area between the EPZ boundary and approximately 20 miles radially from the plant. The characteristics of each section of highway were recorded. These characteristics are shown in Table 12:

Table 12. Highway Characteristics Number of lanes Posted speed Lane width Actual free speed Shoulder type & width Abutting land use Interchange geometries Control devices Lane channelization & queuing Intersection configuration (including capacity (including turn bays/lanes) roundabouts where applicable)

Geometrics: curves, grades (>4%) Traffic signal type Unusual characteristics: Narrow bridges, sharp curves, poor pavement, flood warning signs, inadequate delineations, toll booths, etc.

Video and audio recording equipment were used to capture a permanent record of the highway infrastructure. No attempt was made to meticulously measure such attributes as lane width and shoulder width; estimates of these measures based on visual observation and recorded images were considered appropriate for the purpose of estimating the capacity of highway sections. For example, Exhibit 157 in the HCM indicates that a reduction in lane width from 12 feet (the base value) to 10 feet can reduce free flow speed (FFS) by 1.1 mph - not a material difference - for twolane highways. Exhibit 1530 in the HCM shows little sensitivity for the estimates of Service Volumes at Level of Service (LOS) E (near capacity), with respect to FFS, for twolane highways.

The data from the audio and video recordings were used to create detailed geographical information systems (GIS) shapefiles and databases of the roadway characteristics and of the traffic control devices observed during the road survey; this information was referenced while preparing the input stream for the DYNEV II System.

As documented on page 155 of the HCM 2010, the capacity of a twolane highway is 1700 passenger cars per hour in one direction. For freeway sections, a value of 2250 vehicles per hour per lane is assigned, as per Exhibit 1117 of the HCM 2010. The road survey has identified several segments which are characterized by adverse geometrics on twolane highways which are reflected in reduced values for both capacity and speed. These estimates are consistent with the service volumes for LOS E presented in HCM Exhibit 1530. These links may be Diablo Canyon Power Plant 15 KLD Engineering, P.C.

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identified by reviewing Appendix K. Link capacity is an input to DYNEV II which computes the ETE. Further discussion of roadway capacity is provided in Section 4 of this report.

Traffic signals are either pretimed (signal timings are fixed over time and do not change with the traffic volume on competing approaches), or are actuated (signal timings vary over time based on the changing traffic volumes on competing approaches). Actuated signals require detectors to provide the traffic data used by the signal controller to adjust the signal timings.

These detectors are typically magnetic loops in the roadway, or video cameras mounted on the signal masts and pointed toward the intersection approaches. If detectors were observed on the approaches to a signalized intersection during the road survey, detailed signal timings were not collected as the timings vary with traffic volume. TCPs at locations which have control devices are represented as actuated signals in the DYNEV II system.

If no detectors were observed, the signal control at the intersection was considered pretimed, and detailed signal timings were gathered for several signal cycles. These signal timings were input to the DYNEV II system used to compute ETE, as per NUREG/CR7002 guidance.

Figure 12 presents the linknode analysis network that was constructed to model the evacuation roadway network in the EPZ and Shadow Region. The directional arrows on the links and the node numbers have been removed from Figure 12 to clarify the figure. The detailed figures provided in Appendix K depict the analysis network with directional arrows shown and node numbers provided. The observations made during the field survey were used to calibrate the analysis network.

Telephone Survey A telephone survey was undertaken to gather information needed for the evacuation study.

Appendix F presents the survey instrument, the procedures used and tabulations of data compiled from the survey returns.

These data were utilized to develop estimates of vehicle occupancy to estimate the number of evacuating vehicles during an evacuation and to estimate elements of the mobilization process.

This database was also referenced to estimate the number of transitdependent residents.

Developing the Evacuation Time Estimates The overall study procedure is outlined in Appendix D. Demographic data were obtained from several sources, as detailed later in this report. These data were analyzed and converted into vehicle demand data. The vehicle demand was loaded onto appropriate source links of the analysis network using GIS mapping software. The DYNEV II system was then used to compute ETE for all Regions and Scenarios.

Analytical Tools The DYNEV II System that was employed for this study is comprised of several integrated computer models. One of these is the DYNEV (DYnamic Network EVacuation) macroscopic simulation model, a new version of the IDYNEV model that was developed by KLD under contract with the Federal Emergency Management Agency (FEMA).

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Figure 12. DCPP LinkNode Analysis Network Diablo Canyon Power Plant 17 KLD Engineering, P.C.

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DYNEV II consists of four submodels:

A macroscopic traffic simulation model (for details, see Appendix C).

A Trip Distribution (TD), model that assigns a set of candidate destination (D) nodes for each origin (O) located within the analysis network, where evacuation trips are generated over time. This establishes a set of OD tables.

A Dynamic Traffic Assignment (DTA), model which assigns trips to paths of travel (routes) which satisfy the OD tables, over time. The TD and DTA models are integrated to form the DTRAD (Dynamic Traffic Assignment and Distribution) model, as described in Appendix B.

A Myopic Traffic Diversion model which diverts traffic to avoid intense, local congestion, if possible.

Another software product developed by KLD, named UNITES (UNIfied Transportation Engineering System) was used to expedite data entry and to automate the production of output tables.

The dynamics of traffic flow over the network are graphically animated using the software product, EVAN (EVacuation ANimator), developed by KLD. EVAN is GIS based, and displays statistics such as LOS, vehicles discharged, average speed, and percent of vehicles evacuated, output by the DYNEV II System. The use of a GIS framework enables the user to zoom in on areas of congestion and query road name, town name and other geographical information.

The procedure for applying the DYNEV II System within the framework of developing ETE is outlined in Appendix D. Appendix A is a glossary of terms.

For the reader interested in an evaluation of the original model, IDYNEV, the following references are suggested:

NUREG/CR4873 - Benchmark Study of the IDYNEV Evacuation Time Estimate Computer Code NUREG/CR4874 - The Sensitivity of Evacuation Time Estimates to Changes in Input Parameters for the IDYNEV Computer Code The evacuation analysis procedures are based upon the need to:

Route traffic along paths of travel that will expedite their travel from their respective points of origin to points outside the EPZ.

Restrict movement toward the plant to the extent practicable, and disperse traffic demand so as to avoid focusing demand on a limited number of highways.

Move traffic in directions that are generally outbound, relative to the location of the plant.

DYNEV II provides a detailed description of traffic operations on the evacuation network. This description enables the analyst to identify bottlenecks and to develop countermeasures that are designed to represent the behavioral responses of evacuees. The effects of these Diablo Canyon Power Plant 18 KLD Engineering, P.C.

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countermeasures may then be tested with the model.

1.4 Comparison with Prior ETE Study Table 13 presents a comparison of the present ETE study with the 2003 study. The major factors contributing to the differences between the ETE values obtained in this study and those of the previous study can be summarized as follows:

An increase in permanent resident population.

Vehicle occupancy and Tripgeneration rates are based on the results of a telephone survey of EPZ residents.

Voluntary and shadow evacuations are considered.

The highway representation is far more detailed.

Dynamic evacuation modeling.

Table 13. ETE Study Comparisons Topic Previous ETE Study Current ETE Study ArcGIS Software using 2010 US Resident Population 2000 US Census Data; Census blocks; area ratio method Basis Population = 142,483 used.

Population = 147,221 Derived from updated estimates of population and dwelling units within each 2.3 persons/household, 1.3 Resident Population PAZ. Vehicle occupancy ranges from 1.1 to evacuating vehicles/household Vehicle Occupancy 1.8 persons per vehicle, averaging 1.5 yielding: 1.77 persons/vehicle.

persons per vehicle Employee estimates based on information obtained from the Employee estimates based on information US Census Bureau Longitudinal provided by county agencies about major EmployerHousehold Dynamics, employers in EPZ. Between 1.0 and 3.0 Employee and data provided by PG&E.

employees per vehicle were used for all non Population 1.08 employees per vehicle resident workers and 1.2 for DCPP.

based on telephone survey Employees = 15,556 (Normal Weekday Non results.

Summer Daytime)

Employees = 18,054 (Winter Midweek Midday)

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Topic Previous ETE Study Current ETE Study Estimates based upon U.S.

Census data and the results of Bus capacities were used to estimate the the telephone survey. A total of number of people requiring evacuation 3,402 people who do not have assistance. A total of 13,087 persons require access to a vehicle, requiring 114 evacuation assistance using 327 buses. An TransitDependent buses to evacuate. An additional additional 312 homebound special needs Population 553 homebound special needs persons need special transportation to persons needed special evacuation (3 buses required, 22 wheelchair transportation to evacuate (426 accessible vehicles required, and 34 required a bus, 117 required a ambulances required) wheelchairaccessible vehicle, and 10 required an ambulance).

Transient estimates based on information from obtained from county and local Transient estimates based upon agencies. Nonresident beach visitors vehicle information provided about Transient occupancy ranges from 2.7 to 3.5 persons transient attractions in EPZ.

Population per vehicle. Transients = 30,935 (Summer Transients = 29,923 (Normal Weekend Weekend Midday)

Summer Daytime)

Special facility population based on information provided by Special facility population based on county and local agencies within information provided by the county. the EPZ.

Special Facilities Population Special Facility Population = 1,686 Current census = 8,777 Vehicles originating at special facilities = 120 Buses Required = 98 Wheelchair Bus Required = 83 Ambulances Required = 17 School population based on information provided by the county. School population based on information provided by the School enrollment = 22,053 (public and county and California School Population private) Polytechnic State University.

Vehicles originating at schools = 74 School enrollment = 50,863 (Private schools provide their own Buses required = 412 transportation)

Voluntary 20 percent of the population evacuation from within the EPZ, but not within within EPZ in areas Not considered the Evacuation Region (see outside region to be Figure 21) evacuated 20% of people outside of the EPZ Shadow Evacuation Not considered within the Shadow Region (see Figure 72)

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Topic Previous ETE Study Current ETE Study Network Size Not Specified. 1,429 links; 1,035 nodes Field surveys conducted in November 2010. Roads and Roadway Geometric Field surveys conducted in 2002. intersections were video Data Road capacities based on 2000 HCM. archived.

Road capacities based on 2010 HCM.

Direct evacuation to designated School Evacuation Not Specified.

Public School Relocation Center.

50 percent of transitdependent Ridesharing Not considered persons will evacuate with a neighbor or friend.

Based on residential telephone survey of specific pretrip mobilization activities:

Residents with commuters returning leave between 30 and Does not specify where Trip Generation 270 minutes.

Trip Generation for curves were obtained from. Evacuees Residents without commuters Evacuation mobilize between 15 and 120 minutes after returning leave between 15 and the Evacuation Order.

210 minutes.

Employees and transients leave between 15 and 120 minutes.

All times measured from the Evacuation Order.

Normal or Rain. The capacity Heavy rainfall. No specific reduction capacity and free flow speed of all links in Weather and free flow speed given. the network are reduced by 10%

in the event of rain.

DYNEV II System - Version Modeling Evacuation Time Assessment Program 4.0.4.0 July 4th Fireworks Show, occurs once a year at Avila Beach, Pismo Beach Pier, and Morro Bay Special Events None considered Harbor.

Special Event Population =

134,130 additional transients 26 Regions (central sector wind direction and each adjacent 10 Regions and 5 Scenarios producing 50 Evacuation Cases sector technique used) and 12 unique cases.

Scenarios producing 364 unique cases.

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Topic Previous ETE Study Current ETE Study ETE reported for 90th and 100th ETE reported for 100th percentile population Evacuation Time percentile population. Results for all regions. Results presented by Region Estimates Reporting presented by Region and and Scenario.

Scenario.

Evacuation Time Estimates for the Winter Weekday Midday, Winter Weekday Midday, entire EPZ (100th Good Weather: 13:00 Good Weather: 10:15 percentile)

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2 STUDY ESTIMATES AND ASSUMPTIONS This section presents the estimates and assumptions utilized in the development of the evacuation time estimates.

2.1 Data Estimates

1. Population estimates are based upon Census 2010 data.

2. Estimates of employees who reside outside the EPZ and commute to work within the EPZ are based upon data obtained from the U.S. Census Bureau, Center for Economic Studies.

3. Population estimates at special facilities are based on available data from SLOCOES, other county agencies and from phone calls to specific facilities.

4. Roadway capacity estimates are based on field surveys and the application of the Highway Capacity Manual 2010.

5. Population mobilization times are based on a statistical analysis of data acquired from a random sample telephone survey of EPZ residents (see Section 5 and Appendix F).

6. The relationship between resident population and evacuating vehicles is developed from the telephone survey. Average values of 2.30 persons per household and 1.30 evacuating vehicles per household are used. The relationship between persons and vehicles for special facilities is as follows:

a. Employees: 1.08 employees per vehicle (telephone survey results) for all major employers.

b. Parks: Vehicle occupancy varies based upon data gathered from local transient facilities.

c. Special Events: Assumed transients attending the 4th of July Firework show at Avila Beach, Morro Bay Harbor, and Pismo Beach travel as families/households in a single vehicle, and used the average household size of 2.3 persons to estimate the number of vehicles.

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2.2 Study Methodological Assumptions

1. ETE are presented for the evacuation of the 90th and 100th percentiles of population for each Region and for each Scenario. The percentile ETE is defined as the elapsed time from the Evacuation Order issued to a specific Region of the EPZ, to the time that Region is clear of the indicated percentile of evacuees. A Region is defined as a group of PAZs that is issued an Evacuation Order. A scenario is a combination of circumstances, including time of day, day of week, season, and weather conditions. The 100th percentile ETE is when the last vehicle crosses the EPZ boundary.

2. The ETE are computed and presented in tabular format and graphically, in a format compliant with NUREG/CR7002.

3. Evacuation movements (paths of travel) are generally outbound relative to the plant to the extent permitted by the highway network. All major evacuation routes are used in the analysis.

4. Regions are defined by the underlying keyhole or circular configurations as specified in Section 1.4 of NUREG/CR7002. These Regions, as defined, display irregular boundaries reflecting the geography of the PAZs included within these underlying configurations.

5. As indicated in Figure 22 of NUREG/CR7002, 100% of people within the impacted keyhole evacuate. 20% of those people within the EPZ, not within the impacted keyhole, will voluntarily evacuate. 20% of those people within the Shadow Region will voluntarily evacuate. See Figure 21 and Figure 22 for a graphical representation of these evacuation percentages. Sensitivity studies explore the effect on ETE of increasing the percentage of voluntary evacuees in the Shadow Region (see Appendix M).

6. A total of 12 Scenarios representing different temporal variations (season, time of day, day of week) and weather conditions are considered. These Scenarios are outlined in Table 21.

7. Scenario 12 considers the closure of a single lane southbound on US Highway 101 from the interchange with Los Osos Valley Rd (Exit 200) to the end of the analysisnetwork at the interchange with State Highway 166 (Exit 175).

8. The models of the IDYNEV System were recognized as state of the art by the Atomic Safety & Licensing Board (ASLB) in past hearings. (Sources: Atomic Safety & Licensing Board Hearings on Seabrook and Shoreham; Urbanik1). The models have continuously been refined and extended since those hearings and were independently validated by a consultant retained by the NRC. The new DYNEV II model incorporates the latest technology in traffic simulation and in dynamic traffic assignment.

1 Urbanik, T., et. al. Benchmark Study of the IDYNEV Evacuation Time Estimate Computer Code, NUREG/CR4873, Nuclear Regulatory Commission, June, 1988.

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Table 21. Evacuation Scenario Definitions Scenarios Season Day of Week Time of Day Weather Special 1 Summer Midweek Midday Good None 2 Summer Midweek Midday Rain None 3 Summer Weekend Midday Good None 4 Summer Weekend Midday Rain None Midweek, 5 Summer Evening Good None Weekend 6 Winter Midweek Midday Good None 7 Winter Midweek Midday Rain None 8 Winter Weekend Midday Good None 9 Winter Weekend Midday Rain None Midweek, 10 Winter Evening Good None Weekend Firework Shows at Avila Beach2, Pismo 11 Summer Midweek Evening Good Beach, and Morro Bay Harbor Lane Closure 12 Summer Midweek Midday Good southbound on US 101 2

Transients present at Avila Beach to observe the fireworks at Pismo Beach Diablo Canyon Power Plant 23 KLD Engineering, P.C.

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Figure 21. Voluntary Evacuation Methodology Diablo Canyon Power Plant 24 KLD Engineering, P.C.

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Figure 22. Voluntary Evacuation Methodology Including Staged Evacuation Diablo Canyon Power Plant 25 KLD Engineering, P.C.

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2.3 Study Assumptions

1. The Planning Basis Assumption for the calculation of ETE is a rapidly escalating accident that requires evacuation, and includes the following:

a. Evacuation Order is announced coincident with the siren notification.

b. Mobilization of the general population will commence within 15 minutes after siren notification.

c. ETE are measured relative to the Evacuation Order.

2. It is assumed that everyone within the group of PAZs forming a Region that is issued an Evacuation Order will, in fact, respond and evacuate in general accord with the planned routes.

3. 50 percent of the households in the EPZ have at least 1 commuter; 44 percent of those households with commuters will await the return of a commuter before beginning their evacuation trip, based on the telephone survey results. Therefore 22 percent (50% x 44% = 22%) of EPZ households will await the return of a commuter, prior to beginning their evacuation trip.

4. The ETE will also include consideration of through (ExternalExternal) trips during the time that such traffic is permitted to enter the evacuated Region. Normal traffic flow is assumed to be present within the EPZ at the start of the emergency.

5. Access Control Points (ACP) will be staffed within approximately 30 minutes following the siren notifications, to divert traffic attempting to enter the EPZ. Earlier activation of ACP locations could delay returning commuters. It is assumed that no through traffic will enter the EPZ after this 30 minute time period.

6. Traffic Control Points (TCP) within the EPZ will be staffed over time, beginning at the Evacuation Order. Their number and location will depend on the Region to be evacuated and resources available. The objectives of these TCP are:

a. Facilitate the movements of all (mostly evacuating) vehicles at the location.

b. Discourage inadvertent vehicle movements towards the plant.

c. Provide assurance and guidance to any traveler who is unsure of the appropriate actions or routing.

d. Act as local surveillance and communications center.

e. Provide information to the emergency operations center (EOC) as needed, based on direct observation or on information provided by travelers.

In calculating ETE, it is assumed that evacuees will drive safely, travel in directions identified in the plan, and obey all control devices and traffic guides.

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7. Buses will be used to transport those without access to private vehicles:

a. If schools are in session, transport (buses) will evacuate students directly to the designated school relocation centers.

b. It is assumed parents will pick up children at day care centers prior to evacuation.

c. Buses, wheelchair vans and ambulances will evacuate patients at medical facilities and at any senior facilities within the EPZ, as needed.

d. Transitdependent general population will be evacuated to reception centers.

e. Schoolchildren, if school is in session, are given priority in assigning transit vehicles.

f. Bus mobilization time is considered in ETE calculations.

g. Analysis of the number of required roundtrips (waves) of evacuating transit vehicles is presented.

h. Transport of schoolchildren from school relocation centers to reception centers/congregate care centers is not considered in this study. Parents are advised to pick up schoolchildren at school relocation centers. Those very few students who are not picked up would be transported to general population reception centers/congregate care centers once all schools have been evacuated. The school relocation centers are located outside of the EPZ and this analysis only focuses on ETE to leave EPZ.

8. Provisions are made for evacuating the transitdependent portion of the general population to reception centers by bus, based on the assumption that some of these people will rideshare with family, neighbors, and friends, thus reducing the demand for buses. We assume that the percentage of people who rideshare is 50 percent. This assumption is based upon reported experience for other emergencies3, and on guidance in Section 2.2 of NUREG/CR7002.

9. One type of adverse weather scenario is considered. Rain may occur for either winter or summer scenarios. It is assumed that the rain begins earlier or at about the same time the evacuation order is issued. No weatherrelated reduction in the number of transients who may be present in the EPZ is assumed.

Adverse weather affects roadway capacity and the free flow highway speeds. The factors applied for the ETE study are based on recent research on the effects of weather on roadway operations4; the factors are shown in Table 22.

3 Institute for Environmental Studies, University of Toronto, THE MISSISSAUGA EVACUATION FINAL REPORT, June 1981. The report indicates that 6,600 people of a transitdependent population of 8,600 people shared rides with other residents; a ride share rate of 76% (Page 510).

4 Agarwal, M. et. Al. Impacts of Weather on Urban Freeway Traffic Flow Characteristics and Facility Capacity, Proceedings of the 2005 MidContinent Transportation Research Symposium, August, 2005. The results of this paper are included as Exhibit 1015 in the HCM 2010.

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10. School buses used to transport students are assumed to transport 70 students per bus for primary schools and 50 students per bus for middle and high schools, based on discussions with SLOCOES. Transit buses used to transport the transitdependent general population are assumed to transport 30 people per bus.

Table 22. Model Adjustment for Adverse Weather Mobilization Time for Special Highway Free Flow Mobilization Time for Facilities and Transit Dependent Scenario Capacity* Speed* General Population Population Rain 90% 90% No Effect 10 Minute Increase

• Adverse weather capacity and speed values are given as a percentage of good weather conditions.

Roads are assumed to be passable.

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3 DEMAND ESTIMATION The estimates of demand, expressed in terms of people and vehicles, constitute a critical element in developing an evacuation plan. These estimates consist of three components:

1. An estimate of population within the EPZ, stratified into groups (resident, employee, transient).

2. An estimate, for each population group, of mean occupancy per evacuating vehicle. This estimate is used to determine the number of evacuating vehicles.

3. An estimate of potential doublecounting of vehicles.

Appendix E presents much of the source material for the population estimates. Our primary source of population data, the 2010 Census, however, is not adequate for directly estimating some transient groups.

Throughout the year, vacationers and tourists enter the EPZ. These nonresidents may dwell within the EPZ for a short period (e.g. a few days or one or two weeks), or may enter and leave within one day. Estimates of the size of these population components must be obtained, so that the associated number of evacuating vehicles can be ascertained.

The potential for doublecounting people and vehicles must be addressed. For example:

A resident who works and shops within the EPZ could be counted as a resident, again as an employee and once again as a shopper.

A visitor who stays at a hotel and spends time at a park, then goes shopping could be counted three times.

Furthermore, the number of vehicles at a location depends on time of day. For example, motel parking lots may be full at dawn and empty at noon. Similarly, parking lots at area parks, which are full at noon, may be almost empty at dawn. Estimating counts of vehicles by simply adding up the capacities of different types of parking facilities will tend to overestimate the number of transients and can lead to ETE that are too conservative.

Analysis of the population characteristics of the DCPP EPZ indicates the need to identify three distinct groups:

Permanent residents people who are year round residents of the EPZ.

Transients people who reside outside of the EPZ who enter the area for a specific purpose (shopping, recreation) and then leave the area.

Employees people who reside outside of the EPZ and commute to businesses within the EPZ on a daily basis.

Estimates of the population and number of evacuating vehicles for each of the population groups are presented for each PAZ and by polar coordinate representation (population rose).

The Diablo Canyon EPZ is subdivided into 12 PAZs. The EPZ is shown in Figure 31.

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3.1 Permanent Residents The primary source for estimating permanent population is the latest U.S. Census data. The average household size (2.30 persons/household - See Figure F1) and the number of evacuating vehicles per household (1.30 vehicles/household - See Figure F8) were adapted from the telephone survey results.

Population estimates are based upon Census 2010 data. The estimates are created by cutting the census block polygons by the PAZ and EPZ boundaries. A ratio of the original area of each census block and the updated area (after cutting) is multiplied by the total block population to estimate what the population is within the EPZ. This methodology assumes that the population is evenly distributed across a census block. Table 31 provides the permanent resident population within the EPZ, by PAZ.

The year 2010 permanent resident population is divided by the average household size and then multiplied by the average number of evacuating vehicles per household in order to estimate number of vehicles. Permanent resident population and vehicle estimates are presented in Table 32. Figure 32 and Figure 33 present the permanent resident population and permanent resident vehicle estimates by sector and distance from the plant. This rose was constructed using GIS software.

It can be argued that this estimate of permanent residents overstates, somewhat, the number of evacuating vehicles, especially during the summer. It is certainly reasonable to assert that some portion of the population would be on vacation during the summer and would travel elsewhere. A rough estimate of this reduction can be obtained as follows:

Assume 50 percent of all households vacation for a twoweek period over the summer.

Assume these vacations, in aggregate, are uniformly dispersed over 10 weeks, i.e. 10 percent of the population is on vacation during each twoweek interval.

Assume half of these vacationers leave the area.

On this basis, the permanent resident population would be reduced by 5 percent in the summer and by a lesser amount in the offseason. Given the uncertainty in this estimate, we elected to apply no reductions in permanent resident population for the summer scenarios to account for residents who may be out of the area.

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Figure 31. DCPP EPZ Diablo Canyon Power Plant 33 KLD Engineering, P.C.

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Table 31. EPZ Permanent Resident Population PAZ 2000 Population 2010 Population 1 2 0 2 168 168 3 2,069 2,736 4 637 713 5 14,661 14,217 6 7,760 6,562 7 56 281 8 57,320 60,962 9 13,502 13,126 10 36,060 37,476 11 3,481 4,205 12 4,941 6,775 TOTAL 140,657 147,221 EPZ Population Growth: 4.67%

Table 32. Permanent Resident Population and Vehicles by PAZ 2010 PAZ 2010 Population Resident Vehicles 1 0 0 2 168 96 3 2,736 1,548 4 713 406 5 14,217 8,040 6 6,562 3,709 7 281 158 8 60,962 31,010 9 13,126 7,420 10 37,476 21,186 11 4,205 2,379 12 6,775 3,830 TOTAL 147,221 79,782 Diablo Canyon Power Plant 34 KLD Engineering, P.C.

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Figure 32. Permanent Resident Population by Sector Diablo Canyon Power Plant 35 KLD Engineering, P.C.

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Figure 33. Permanent Resident Vehicles by Sector Diablo Canyon Power Plant 36 KLD Engineering, P.C.

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3.2 Shadow Population A portion of the population living outside the evacuation area in the Public Education Zone (PEZ) - identified as the Shadow Region (see Section 7.1 for additional discussion) in this study -

may elect to evacuate without having been instructed to do so. Based upon NUREG/CR7002 guidance, it is assumed that 20 percent of the permanent resident population, based on U.S.

Census Bureau data, in this Shadow Region will elect to evacuate.

Shadow population characteristics (household size, evacuating vehicles per household, mobilization time) are assumed to be the same as that for the EPZ permanent resident population. Table 33, Figure 34, and Figure 35 present estimates of the shadow population and vehicles, by sector.

Table 33. Shadow Population and Vehicles by Sector Sector Population Evacuating Vehicles N 135 80 NNE 1,999 1,130 NE 2,274 1,285 ENE 428 243 E 316 181 ESE 11,066 6,253 SE 7,328 4,143 SSE 0 0 S 0 0 SSW 0 0 SW 0 0 WSW 0 0 W 0 0 WNW 0 0 NW 0 0 NNW 67 39 TOTAL 23,613 13,354 Diablo Canyon Power Plant 37 KLD Engineering, P.C.

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Figure 34. Shadow Population by Sector Diablo Canyon Power Plant 38 KLD Engineering, P.C.

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Figure 35. Shadow Vehicles by Sector Diablo Canyon Power Plant 39 KLD Engineering, P.C.

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3.3 Transient Population Transient population groups are defined as those people (who are not permanent residents, nor commuting employees) who enter the EPZ for a specific purpose (shopping, recreation).

Transients may spend less than one day or stay overnight at camping facilities, hotels and motels. The DCPP EPZ has a number of areas and facilities that attract transients, including:

Lodging Facilities Parks Campgrounds Golf Courses Beaches Surveys of lodging facilities within the EPZ were conducted to determine the number of rooms, and percentage of occupied rooms. The average household size was used to determine the number of people per room. These data were used to estimate the number of transients and evacuating vehicles at each of these facilities. A total of 17,647 transients in 7,090 vehicles are assigned to lodging facilities in the EPZ.

Data was provided by San Luis Obispo County for the number of transients visiting the parks and recreational areas within the EPZ on a typical day. A total of 9,235 transients and 5,533 vehicles have been assigned to parks and recreational areas within the EPZ.

San Luis Obispo County provided information on campgrounds within the EPZ. This data included the number of campsites, peak occupancy, and the number of vehicles and people per campsite for each facility. These data were used to estimate the number of evacuating vehicles for transients at each of these facilities. A total of 1,568 transients and 1,219 vehicles are assigned to campgrounds in the EPZ.

Supplemented by data provided by San Luis Obispo County, surveys of golf courses were conducted to determine the number of golfers and vehicles at each facility on a typical peak day, and the number of golfers that travel from outside the area. A total of 463 transients and 201 vehicles are assigned to golf courses within the EPZ.

Beach data was provided by San Luis Obispo County. This data indicate the total number of beachgoers and what percentage of these people are local residents. A total of 2,022 transients and 878 vehicles were assigned to beaches in the EPZ.

California Polytechnic State University has a total enrollment of 18,762 students; 6,959 of these students reside on campus. Data provided by the university states that there are 3,480 on campus students with vehicles. The remaining 3,479 students will need a bus to evacuate.

Assuming a 50% rideshare (see Section 2.3, assumption 8), 58 buses will be needed to evacuate the remaining oncampus students. All 11,803 offcampus students are assumed to live within the EPZ and are therefore included in the Census data as permanent resident population.

Appendix E summarizes the transient data that was gathered for the EPZ. Table E3 presents the number of transients visiting recreational areas, while Table E4 presents the number of Diablo Canyon Power Plant 310 KLD Engineering, P.C.

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transients at lodging facilities within the EPZ.

Table 34 presents transient population and transient vehicle estimates by PAZ. Figure 36 and Figure 37 present these data by sector and distance from the plant.

Table 34. Summary of Transients and Transient Vehicles PAZ Transients Transient Vehicles 1 0 0 2 333 201 3 3,280 1,413 4 0 0 5 488 177 6 5,773 2,457 7 0 0 8 8,126 3,500 9 5,504 2,477 10 7,223 4,606 11 41 17 12 167 73 TOTAL 30,935 14,921 Diablo Canyon Power Plant 311 KLD Engineering, P.C.

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Figure 36. Transient Population by Sector Diablo Canyon Power Plant 312 KLD Engineering, P.C.

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Figure 37. Transient Vehicles by Sector Diablo Canyon Power Plant 313 KLD Engineering, P.C.

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3.4 Employees Employees who work within the EPZ fall into two categories:

Those who live and work in the EPZ Those who live outside of the EPZ and commute to jobs within the EPZ.

Those of the first category are already counted as part of the permanent resident population. To avoid double counting, we focus only on those employees commuting from outside the EPZ who will evacuate along with the permanent resident population.

Data obtained from the US Census Longitudinal EmployerHousehold Dynamics from the OnTheMap Census analysis tool1 were used to estimate the number of employees commuting into the EPZ. The 2009 Workplace Area Characteristic data was also obtained from this website and was used to determine the number of employees by Census Block within the DCPP EPZ.

An average growth rate for employment within the DCPP EPZ was computed using the Inflow/Outflow Report produced from the OnTheMap Application. The average growth rate from 2002 to 2009 is 0.7% as shown in Table 35. This value was applied to the 2009 data to accurately represent 2010 total employment data within the EPZ. Census Blocks with less than 50 employees were ignored to be consistent with NUREG/CR7002.

Since not all employees are working at facilities within the EPZ at one time, a maximum shift reduction was applied. The Work Area Profile Report, also output by the OnTheMap Application, breaks down jobs within the EPZ by industry sector. Assuming maximum shift employment occurs Monday through Friday between 9 AM and 5 PM, the following jobs take place outside the typical 95 work day:

Manufacturing - 4% of jobs; takes place in shifts over 24 hours2.777778e-4 days <br />0.00667 hours <br />3.968254e-5 weeks <br />9.132e-6 months <br /> Arts, Entertainment, and Recreation - 2% of jobs; takes place in evenings and on weekends Accommodations and Food Services - 13.5% of jobs; peaks in the evenings The maximum shift in the EPZ is about 80.5% (100% 4% 2% 13.5% 80.5%). This value was applied to the total employment in 2010 to represent the maximum number of employees present in the EPZ at any one time.

The Inflow/Outflow Report for the DCPP EPZ was then used to calculate the percent of employees that work within the EPZ but live outside. The average amount of employees that commute to the EPZ from 2002 to 2009 is 41.9% as shown in Table 36. This value was applied to the maximum shift employee values to compute the number of people commuting into the EPZ to work at peak times.

This methodology was reviewed and approved by San Luis Obispo County and PG&E.

1 http://onthemap.ces.census.gov/

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This methodology was supplemented by plant employment data, including max shift and non EPZ employment, which was provided by emergency management personnel at the Diablo Canyon Power Plant. The plant is the only major employer in PAZ 1.

A vehicle occupancy of 1.08 employees per vehicle obtained from the telephone survey (See Figure F7) was used to determine the number of evacuating employee vehicles for all major employers within the EPZ.

Table 37 presents nonEPZ employee and employee vehicle estimates by PAZ. Figure 38 and Figure 39 present these data by sector.

Table 35. Employment Growth Rate within the DCPP EPZ Year Employed in EPZ Growth Rate 2009 54,714 2.3%

2008 56,015 6.1%

2007 52,819 2.8%

2006 51,396 0.9%

2005 50,924 2.6%

2004 52,291 0.9%

2003 52,767 1.3%

2002 52,069 Average Growth Rate (20022009): 0.7%

Table 36. Average Percentage of NonEPZ Residents Employed in the Diablo Canyon EPZ Year Employed in EPZ but live outside 2009 47.4%

2008 48.0%

2007 46.4%

2006 40.5%

2005 40.6%

2004 40.1%

2003 40.6%

2002 31.6%

Average: 41.9%

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Table 37. Summary of NonEPZ Resident Employees and Employee Vehicles 2009 2010 Max Shift NonEPZ Employee PAZ Employment Employment Employment Employment Vehicles 1 524 485 2 0 0 0 0 0 3 257 258 208 87 80 4 54 54 43 18 17 5 1,094 1,098 885 371 346 6 2,928 2,947 2,371 995 920 7 0 0 0 0 0 8 34,548 34,792 28,001 11,728 10,857 9 2,447 2,462 1,981 830 769 10 9,595 9,660 7,777 3,259 3,017 11 299 302 244 102 95 12 413 416 334 140 130 Grand Total 51,635 51,989 41,844 18,054 16,716 Diablo Canyon Power Plant 316 KLD Engineering, P.C.

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Figure 38. Employee Population by Sector Diablo Canyon Power Plant 317 KLD Engineering, P.C.

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Figure 39. Employee Vehicles by Sector Diablo Canyon Power Plant 318 KLD Engineering, P.C.

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3.5 Medical Facilities Data were provided by San Luis Obispo County for each of the medical facilities within the EPZ.

Table E2 in Appendix E summarizes the data gathered. Section 8 details the evacuation of medical facilities and their patients. The number and type of evacuating vehicles that need to be provided depend on the patients' state of health. It is estimated that buses can transport up to 30 people; wheelchair vans, up to 4 people; wheelchair buses up to 15 people; and ambulances, up to 2 people.

3.6 Total Demand in Addition to Permanent Population Vehicles will be traveling through the EPZ (externalexternal trips) at the time of an accident.

After the Evacuation Order is announced, these throughtravelers will also evacuate. These through vehicles are assumed to travel on the major routes traversing the EPZ - US 101 and SH

1. It is assumed that this traffic will continue to enter the EPZ during the first 30 minutes following the Evacuation Order, while access control is being established.

Average Annual Daily Traffic (AADT) data was obtained from Federal Highway Administration to estimate the number of vehicles per hour on the aforementioned routes. The AADT was multiplied by the KFactor, which is the proportion of the AADT on a roadway segment or link during the design hour, resulting in the design hour volume (DHV). The design hour is usually the 30th highest hourly traffic volume of the year, measured in vehicles per hour (vph). The DHV is then multiplied by the DFactor, which is the proportion of the DHV occurring in the peak direction of travel (also known as the directional split). A directional factor of 0.5 was used for US101 Northbound, and a directional factor of 0.25 was used for US101 Southbound and SH1 Southbound (these two traffic volumes merge within the EPZ). The resulting values are the directional design hourly volumes (DDHV), and are presented in Table 38, for each of the routes considered. The DDHV is then multiplied by 0.5 hours5.787037e-5 days <br />0.00139 hours <br />8.267196e-6 weeks <br />1.9025e-6 months <br /> (access control points - ACP -

are assumed to be activated at 30 minutes after the Evacuation Order) to estimate the total number of external vehicles loaded on the analysis network. As indicated, there are 3,276 vehicles entering the EPZ as externalexternal trips prior to the activation of the ACP and the diversion of this traffic. This number is reduced by 60% for evening scenarios (Scenarios 5 and

10) as discussed in Section 6.

3.7 Special Event One special event is considered for the ETE study - 4th of July fireworks shows at Avila Beach (transient present at Avila Beach to observe Pismo Beach fireworks), Pismo Beach Pier, and Morro Bay Harbor. The event occurs after sundown for a couple of hours. The source of the data is San Luis Obispo County Office of Emergency Services. Avila Beach attracts 28,130 people, about 10% of which are local residents. Pismo Beach Pier attracts 100,000 people, of which about 9% are local residents, and 5,028 people (1,809 vehicles) are staying at hotels on the beach. Morro Bay Harbor attracts 6,000 people and on average 9.5% of these visitors are local residents. It was assumed that families travel to the event as a household unit in a single Diablo Canyon Power Plant 319 KLD Engineering, P.C.

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vehicle; therefore, the average household size of 2.30 was used for vehicle occupancy. A total of 116,719 people evacuating in 51,124 vehicles were incorporated at various parking areas within these cities. The special event vehicle trips were generated utilizing the same mobilization distributions for transients.

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Table 38. DCPP EPZ External Traffic Road HPMS1 Hourly External Up Node Dn Node Name Direction AADT KFactor2 DFactor2 Volume Traffic 8005 5 US 101 Southbound 72,000 0.091 0.25 1,638 819 8046 46 US 101 Northbound 72,000 0.091 0.5 3,276 1,638 8074 74 SH 1 Southbound 72,000 0.091 0.25 1,638 819 TOTAL: 3,276 1

Highway Performance Monitoring System (HPMS), Federal Highway Administration (FHWA), Washington, D.C., 2011 2

HCM 2010 Diablo Canyon Power Plant 321 KLD Engineering, P.C.

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3.8 Summary of Demand A summary of population and vehicle demand is summarized in Table 39 and Table 310, respectively. This summary includes all population groups described in this section. Additional population groups - transitdependent, special facility and school population - are described in greater detail in Section 8. A total of 263,975 people and 118,797 vehicles are considered in this study.

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Table 39. Summary of Population Demand Transit Special Shadow External PAZ Residents Dependent Transients Employees Facilities Schools Population Traffic Total 1 0 0 0 524 0 0 0 0 524 2 168 0 333 0 0 0 0 0 501 3 2,736 60 3,280 87 0 146 0 0 6,309 4 713 0 0 18 0 0 0 0 731 5 14,217 388 488 371 124 1,536 0 0 17,124 6 6,562 0 5,773 995 12 934 0 0 14,276 7 281 0 0 0 0 0 0 0 281 8 60,962 1,611 8,126 11,728 7,951 27,259 0 0 117,637 9 13,126 358 5,504 830 280 1,783 0 0 21,881 10 37,476 985 7,223 3,259 354 18,159 0 0 67,456 11 4,205 0 41 102 32 304 0 0 4,684 12 6,775 0 167 140 24 742 0 0 7,848 Shadow 0 0 0 0 0 0 4,723 0 4,723 Total 147,221 3,402 30,935 18,054 8,777 50,863 4,723 0 263,975 NOTE: Shadow Population has been reduced to 20%. Refer to Figure 21 for additional information.

NOTE: Special Facilities include medical facilities and correctional facilities.

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Table 310. Summary of Vehicle Demand Transit Special Shadow External PAZ Residents Dependent Transients Employees Facilities Schools Population Traffic Total 1 0 0 0 485 0 0 0 0 485 2 96 0 201 0 0 0 0 0 297 3 1,548 4 1,413 80 0 6 0 0 3,051 4 406 0 0 17 0 0 0 0 423 5 8,040 26 177 346 88 56 0 0 8,733 6 3,709 0 2,457 920 8 34 0 0 7,128 7 158 0 0 0 0 0 0 0 158 8 31,010 108 3,500 10,857 152 354 0 0 45,981 9 7,420 24 2,477 769 32 68 0 0 10,790 10 21,186 66 4,606 3,017 86 264 0 0 29,225 11 2,379 0 17 95 5 10 0 0 2,506 12 3,830 0 73 130 8 32 0 0 4,073 Shadow 0 0 0 0 0 0 2,671 3,276 5,947 Total 79,782 228 14,921 16,716 379 824 2,671 3,276 118,797 NOTE: Buses represented as two passenger vehicles. Refer to Section 8 for additional information.

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4 ESTIMATION OF HIGHWAY CAPACITY The ability of the road network to service vehicle demand is a major factor in determining how rapidly an evacuation can be completed. The capacity of a road is defined as the maximum hourly rate at which persons or vehicles can reasonably be expected to traverse a point or uniform section of a lane of roadway during a given time period under prevailing roadway, traffic and control conditions, as stated in the 2010 Highway Capacity Manual (HCM 2010).

In discussing capacity, different operating conditions have been assigned alphabetical designations, A through F, to reflect the range of traffic operational characteristics. These designations have been termed "Levels of Service" (LOS). For example, LOS A connotes freeflow and highspeed operating conditions; LOS F represents a forced flow condition. LOS E describes traffic operating at or near capacity.

Another concept, closely associated with capacity, is Service Volume (SV). Service volume is defined as The maximum hourly rate at which vehicles, bicycles or persons reasonably can be expected to traverse a point or uniform section of a roadway during an hour under specific assumed conditions while maintaining a designated level of service. This definition is similar to that for capacity. The major distinction is that values of SV vary from one LOS to another, while capacity is the service volume at the upper bound of LOS E, only.

This distinction is illustrated in Exhibit 1117 of the HCM 2010. As indicated there, the SV varies with Free Flow Speed (FFS), and LOS. The SV is calculated by the DYNEV II simulation model, based on the specified link attributes, FFS, capacity, control device and traffic demand.

Other factors also influence capacity. These include, but are not limited to:

Lane width Shoulder width Pavement condition Horizontal and vertical alignment (curvature and grade)

Percent truck traffic Control device (and timing, if it is a signal)

Weather conditions (rain, snow, fog, wind speed, ice)

These factors are considered during the road survey and in the capacity estimation process; some factors have greater influence on capacity than others. For example, lane and shoulder width have only a limited influence on Base Free Flow Speed (BFFS1) according to Exhibit 157 of the HCM. Consequently, lane and shoulder widths at the narrowest points were observed during the road survey and these observations were recorded, but no detailed measurements of lane or shoulder width were taken. Horizontal and vertical alignment can influence both FFS and capacity. The estimated FFS were measured using the survey vehicles speedometer and observing local traffic, under free flow conditions. Capacity is estimated from the procedures of 1

A very rough estimate of BFFS might be taken as the posted speed limit plus 10 mph (HCM 2010 Page 1515)

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the 2010 HCM. For example, HCM Exhibit 71(b) shows the sensitivity of Service Volume at the upper bound of LOS D to grade (capacity is the Service Volume at the upper bound of LOS E).

As discussed in Section 2.3, it is necessary to adjust capacity figures to represent the prevailing conditions during inclement weather. Based on limited empirical data, weather conditions such as rain reduce the values of free speed and of highway capacity by approximately 10 percent. Over the last decade new studies have been made on the effects of rain on traffic capacity. These studies indicate a range of effects between 5 and 20 percent depending on wind speed and precipitation rates. As indicated in Section 2.3, we employ a reduction in free speed and in highway capacity of 10 percent for rain.

Since congestion arising from evacuation may be significant, estimates of roadway capacity must be determined with great care. Because of its importance, a brief discussion of the major factors that influence highway capacity is presented in this section.

Rural highways generally consist of: (1) one or more uniform sections with limited access (driveways, parking areas) characterized by uninterrupted flow; and (2) approaches to at grade intersections where flow can be interrupted by a control device or by turning or crossing traffic at the intersection. Due to these differences, separate estimates of capacity must be made for each section. Often, the approach to the intersection is widened by the addition of one or more lanes (turn pockets or turn bays), to compensate for the lower capacity of the approach due to the factors there that can interrupt the flow of traffic. These additional lanes are recorded during the field survey and later entered as input to the DYNEV II system.

4.1 Capacity Estimations on Approaches to Intersections Atgrade intersections are apt to become the first bottleneck locations under local heavy traffic volume conditions. This characteristic reflects the need to allocate access time to the respective competing traffic streams by exerting some form of control. During evacuation, control at critical intersections will often be provided by traffic control personnel assigned for that purpose, whose directions may supersede traffic control devices. The existing traffic management plans documented in the county emergency plan standard operating procedure for the Califonia Highway Patrol is extensive and was adopted without change.

The perlane capacity of an approach to a signalized intersection can be expressed (simplistically) in the following form:

3600 3600 where:

Qcap,m = Capacity of a single lane of traffic on an approach, which executes Diablo Canyon Power Plant 42 KLD Engineering, P.C.

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movement, m, upon entering the intersection; vehicles per hour (vph) hm = Mean queue discharge headway of vehicles on this lane that are executing movement, m; seconds per vehicle G = Mean duration of GREEN time servicing vehicles that are executing movement, m, for each signal cycle; seconds L = Mean "lost time" for each signal phase servicing movement, m; seconds C = Duration of each signal cycle; seconds Pm = Proportion of GREEN time allocated for vehicles executing movement, m, from this lane. This value is specified as part of the control treatment.

m = The movement executed by vehicles after they enter the intersection: through, leftturn, rightturn, and diagonal.

The turnmovementspecific mean discharge headway hm, depends in a complex way upon many factors: roadway geometrics, turn percentages, the extent of conflicting traffic streams, the control treatment, and others. A primary factor is the value of "saturation queue discharge headway", hsat, which applies to through vehicles that are not impeded by other conflicting traffic streams. This value, itself, depends upon many factors including motorist behavior.

Formally, we can write, where:

hsat = Saturation discharge headway for through vehicles; seconds per vehicle F1,F2 = The various known factors influencing hm fm( ) = Complex function relating hm to the known (or estimated) values of hsat, F1, F2, The estimation of hm for specified values of hsat, F1, F2, ... is undertaken within the DYNEV II simulation model by a mathematical model2. The resulting values for hm always satisfy the condition:

2 Lieberman, E., "Determining Lateral Deployment of Traffic on an Approach to an Intersection", McShane, W. &

Lieberman, E., "Service Rates of Mixed Traffic on the far Left Lane of an Approach". Both papers appear in Transportation Research Record 772, 1980. Lieberman, E., Xin, W., Macroscopic Traffic Modeling For LargeScale Evacuation Planning, presented at the TRB 2012 Annual Meeting, January 2226, 2012 Diablo Canyon Power Plant 43 KLD Engineering, P.C.

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That is, the turnmovementspecific discharge headways are always greater than, or equal to the saturation discharge headway for through vehicles. These headways (or its inverse equivalent, saturation flow rate), may be determined by observation or using the procedures of the HCM 2010.

The above discussion is necessarily brief given the scope of this ETE report and the complexity of the subject of intersection capacity. In fact, Chapters 18, 19 and 20 in the HCM 2010 address this topic. The factors, F1, F2,, influencing saturation flow rate are identified in equation (185) of the HCM 2010.

The traffic signals within the EPZ and Shadow Region are modeled using representative phasing plans and phase durations obtained as part of the field data collection. Traffic responsive signal installations allow the proportion of green time allocated (Pm) for each approach to each intersection to be determined by the expected traffic volumes on each approach during evacuation circumstances. The amount of green time (G) allocated is subject to maximum and minimum phase duration constraints; 2 seconds of yellow time are indicated for each signal phase and 1 second of allred time is assigned between signal phases, typically. If a signal is pre timed, the yellow and allred times observed during the road survey are used. A lost time (L) of 2.0 seconds is used for each signal phase in the analysis.

4.2 Capacity Estimation along Sections of Highway The capacity of highway sections as distinct from approaches to intersections is a function of roadway geometrics, traffic composition (e.g. percent heavy trucks and buses in the traffic stream) and, of course, motorist behavior. There is a fundamental relationship which relates service volume (i.e. the number of vehicles serviced within a uniform highway section in a given time period) to traffic density. The top curve in Figure 41 illustrates this relationship.

As indicated, there are two flow regimes: (1) Free Flow (left side of curve); and (2) Forced Flow (right side). In the Free Flow regime, the traffic demand is fully serviced; the service volume increases as demand volume and density increase, until the service volume attains its maximum value, which is the capacity of the highway section. As traffic demand and the resulting highway density increase beyond this "critical" value, the rate at which traffic can be serviced (i.e. the service volume) can actually decline below capacity (capacity drop). Therefore, in order to realistically represent traffic performance during congested conditions (i.e. when demand exceeds capacity), it is necessary to estimate the service volume, VF, under congested conditions.

The value of VF can be expressed as:

where:

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We have employed a value of R=0.90. The advisability of such a capacity reduction factor is based upon empirical studies that identified a falloff in the service flow rate when congestion occurs at bottlenecks or choke points on a freeway system. Zhang and Levinson3 describe a research program that collected data from a computerbased surveillance system (loop detectors) installed on the Interstate Highway System, at 27 active bottlenecks in the twin cities metro area in Minnesota over a 7week period. When flow breakdown occurs, queues are formed which discharge at lower flow rates than the maximum capacity prior to observed breakdown. These queue discharge flow (QDF) rates vary from one location to the next and also vary by day of week and time of day based upon local circumstances. The cited reference presents a mean QDF of 2,016 passenger cars per hour per lane (pcphpl). This figure compares with the nominal capacity estimate of 2,250 pcphpl estimated for the ETE and indicated in Appendix K for freeway links. The ratio of these two numbers is 0.896 which translates into a capacity reduction factor of 0.90.

Since the principal objective of evacuation time estimate analyses is to develop a realistic estimate of evacuation times, use of the representative value for this capacity reduction factor (R=0.90) is justified. This factor is applied only when flow breaks down, as determined by the simulation model.

Rural roads, like freeways, are classified as uninterrupted flow facilities. (This is in contrast with urban street systems which have closely spaced signalized intersections and are classified as interrupted flow facilities.) As such, traffic flow along rural roads is subject to the same effects as freeways in the event traffic demand exceeds the nominal capacity, resulting in queuing and lower QDF rates. As a practical matter, rural roads rarely break down at locations away from intersections. Any breakdowns on rural roads are generally experienced at intersections where other model logic applies, or at lane drops which reduce capacity there.

Therefore, the application of a factor of 0.90 is appropriate on rural roads, but rarely, if ever, activated.

The estimated value of capacity is based primarily upon the type of facility and on roadway geometrics. Sections of roadway with adverse geometrics are characterized by lower freeflow speeds and lane capacity. Exhibit 1530 in the Highway Capacity Manual was referenced to estimate saturation flow rates. The impact of narrow lanes and shoulders on freeflow speed and on capacity is not material, particularly when flow is predominantly in one direction as is the case during an evacuation.

The procedure used here was to estimate "section" capacity, VE, based on observations made traveling over each section of the evacuation network, based on the posted speed limits and travel behavior of other motorists and by reference to the 2010 HCM. The DYNEV II simulation model determines for each highway section, represented as a network link, whether its capacity would be limited by the "sectionspecific" service volume, VE, or by the intersectionspecific capacity. For each link, the model selects the lower value of capacity.

3 Lei Zhang and David Levinson, Some Properties of Flows at Freeway Bottlenecks, Transportation Research Record 1883, 2004.

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4.3 Application to the Diablo Canyon Power Plant Study Area As part of the development of the linknode analysis network for the study area, an estimate of roadway capacity is required. The source material for the capacity estimates presented herein is contained in:

2010 Highway Capacity Manual (HCM)

Transportation Research Board National Research Council Washington, D.C.

The highway system in the study area consists primarily of three categories of roads and, of course, intersections:

TwoLane roads: Local, State MultiLane Highways (atgrade)

Freeways Each of these classifications will be discussed.

4.3.1 TwoLane Roads Ref: HCM Chapter 15 Two lane roads comprise the majority of highways within the EPZ. The perlane capacity of a twolane highway is estimated at 1700 passenger cars per hour (pc/h). This estimate is essentially independent of the directional distribution of traffic volume except that, for extended distances, the twoway capacity will not exceed 3200 pc/h. The HCM procedures then estimate Level of Service (LOS) and Average Travel Speed. The DYNEV II simulation model accepts the specified value of capacity as input and computes average speed based on the timevarying demand: capacity relations.

Based on the field survey and on expected traffic operations associated with evacuation scenarios:

Most sections of twolane roads within the EPZ are classified as Class I, with "level terrain"; some are rolling terrain.

Class II highways are mostly those within urban and suburban centers.

4.3.2 MultiLane Highway Ref: HCM Chapter 14 Exhibit 142 of the HCM 2010 presents a set of curves that indicate a perlane capacity ranging from approximately 1900 to 2200 pc/h, for freespeeds of 45 to 60 mph, respectively. Based on observation, the multilane highways outside of urban areas within the EPZ service traffic with freespeeds in this range. The actual timevarying speeds computed by the simulation model reflect the demand: capacity relationship and the impact of control at intersections. A Diablo Canyon Power Plant 46 KLD Engineering, P.C.

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conservative estimate of perlane capacity of 1900 pc/h is adopted for this study for multilane highways outside of urban areas, as shown in Appendix K.

4.3.3 Freeways Ref: HCM Chapters 10, 11, 12, 13 Chapter 10 of the HCM 2010 describes a procedure for integrating the results obtained in Chapters 11, 12 and 13, which compute capacity and LOS for freeway components. Chapter 10 also presents a discussion of simulation models. The DYNEV II simulation model automatically performs this integration process.

Chapter 11 of the HCM 2010 presents procedures for estimating capacity and LOS for Basic Freeway Segments". Exhibit 1117 of the HCM 2010 presents capacity vs. free speed estimates, which are provided below.

Free Speed (mph): 55 60 65 70+

PerLane Capacity (pc/h): 2250 2300 2350 2400 The inputs to the simulation model are highway geometrics, freespeeds and capacity based on field observations. The simulation logic calculates actual timevarying speeds based on demand:

capacity relationships. A conservative estimate of perlane capacity of 2250 pc/h is adopted for this study for freeways, as shown in Appendix K.

Chapter 12 of the HCM 2010 presents procedures for estimating capacity, speed, density and LOS for freeway weaving sections. The simulation model contains logic that relates speed to demand volume: capacity ratio. The value of capacity obtained from the computational procedures detailed in Chapter 12 depends on the "Type" and geometrics of the weaving segment and on the "Volume Ratio" (ratio of weaving volume to total volume).

Chapter 13 of the HCM 2010 presents procedures for estimating capacities of ramps and of "merge" areas. There are three significant factors to the determination of capacity of a ramp freeway junction: The capacity of the freeway immediately downstream of an onramp or immediately upstream of an offramp; the capacity of the ramp roadway; and the maximum flow rate entering the ramp influence area. In most cases, the freeway capacity is the controlling factor. Values of this merge area capacity are presented in Exhibit 138 of the HCM 2010, and depend on the number of freeway lanes and on the freeway free speed. Ramp capacity is presented in Exhibit 1310 and is a function of the ramp free flow speed. The DYNEV II simulation model logic simulates the merging operations of the ramp and freeway traffic in accord with the procedures in Chapter 13 of the HCM 2010. If congestion results from an excess of demand relative to capacity, then the model allocates service appropriately to the two entering traffic streams and produces LOS F conditions (The HCM does not address LOS F explicitly).

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4.3.4 Intersections Ref: HCM Chapters 18, 19, 20, 21 Procedures for estimating capacity and LOS for approaches to intersections are presented in Chapter 18 (signalized intersections), Chapters 19, 20 (unsignalized intersections) and Chapter 21 (roundabouts). The complexity of these computations is indicated by the aggregate length of these chapters. The DYNEV II simulation logic is likewise complex.

The simulation model explicitly models intersections: Stop/yield controlled intersections (both 2way and allway) and traffic signal controlled intersections. Where intersections are controlled by fixed time controllers, traffic signal timings are set to reflect average (non evacuation) traffic conditions. Actuated traffic signal settings respond to the timevarying demands of evacuation traffic to adjust the relative capacities of the competing intersection approaches.

The model is also capable of modeling the presence of manned traffic control. At specific locations where it is advisable or where existing plans call for overriding existing traffic control to implement manned control, the model will use actuated signal timings that reflect the presence of traffic guides. At locations where a special traffic control strategy (continuous left turns, contraflow lanes) is used, the strategy is modeled explicitly. Where applicable, the location and type of traffic control for nodes in the evacuation network are noted in Appendix K. The characteristics of the ten highest volume signalized intersections are detailed in Appendix J.

4.4 Simulation and Capacity Estimation Chapter 6 of the HCM is entitled, HCM and Alternative Analysis Tools. The chapter discusses the use of alternative tools such as simulation modeling to evaluate the operational performance of highway networks. Among the reasons cited in Chapter 6 to consider using simulation as an alternative analysis tool is:

The system under study involves a group of different facilities or travel modes with mutual interactions invoking several procedural chapters of the HCM. Alternative tools are able to analyze these facilities as a single system.

This statement succinctly describes the analyses required to determine traffic operations across an area encompassing an EPZ operating under evacuation conditions. The model utilized for this study, DYNEV II, is further described in Appendix C. It is essential to recognize that simulation models do not replicate the methodology and procedures of the HCM - they replace these procedures by describing the complex interactions of traffic flow and computing Measures of Effectiveness (MOE) detailing the operational performance of traffic over time and by location. The DYNEV II simulation model includes some HCM 2010 procedures only for the purpose of estimating capacity.

All simulation models must be calibrated properly with field observations that quantify the performance parameters applicable to the analysis network. Two of the most important of Diablo Canyon Power Plant 48 KLD Engineering, P.C.

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these are: (1) Free flow speed (FFS); and (2) saturation headway, hsat. The first of these is estimated by direct observation during the road survey; the second is estimated using the concepts of the HCM 2010, as described earlier. These parameters are listed in Appendix K, for each network link.

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Volume, vph Capacity Drop Qmax R Qmax Qs Density, vpm Flow Regimes Speed, mph Free Forced vf R vc Density, vpm kf kopt kj ks Figure 41. Fundamental Diagrams Diablo Canyon Power Plant 410 KLD Engineering, P.C.

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5 ESTIMATION OF TRIP GENERATION TIME Federal Government guidelines (see NUREG CR7002) specify that the planner estimate the distributions of elapsed times associated with mobilization activities undertaken by the public to prepare for the evacuation trip. The elapsed time associated with each activity is represented as a statistical distribution reflecting differences between members of the public.

The quantification of these activitybased distributions relies largely on the results of the telephone survey. We define the sum of these distributions of elapsed times as the Trip Generation Time Distribution.

5.1 Background In general, an accident at a nuclear power plant is characterized by the following Emergency Classification Levels (see Appendix 1 of NUREG 0654 for details):

1. Unusual Event

2. Alert

3. Site Area Emergency

4. General Emergency At each level, the Federal guidelines specify a set of Actions to be undertaken by the Licensee, and by State and Local offsite authorities. As a Planning Basis, we will adopt a conservative posture, in accordance with Section 1.2 of NUREG/CR7002, that a rapidly escalating accident will be considered in calculating the Trip Generation Time. We will assume:

1. The Evacuation Order will be announced coincident with the emergency notification.

2. Mobilization of the general population will commence up to 15 minutes after the Evacuation Order alert notification.

3. ETE are measured relative to the Evacuation Order.

We emphasize that the adoption of this planning basis is not a representation that these events will occur within the indicated time frame. Rather, these assumptions are necessary in order to:

1. Establish a temporal framework for estimating the Trip Generation distribution in the format recommended in Section 2.13 of NUREG/CR6863.

2. Identify temporal points of reference that uniquely define "Clear Time" and ETE.

It is likely that a longer time will elapse between the various classes of an emergency.

For example, suppose one hour elapses from the siren alert to the Evacuation Order. In this case, it is reasonable to expect some degree of spontaneous evacuation by the public during this onehour period. As a result, the population within the EPZ will be lower when the Evacuation Order is announced, than at the time of the siren alert. In addition, many will engage in preparation activities to evacuate, in anticipation that an advisory will be broadcast.

Thus, the time needed to complete the mobilization activities and the number of people remaining to evacuate the EPZ after the Evacuation Order, will both be somewhat less than the Diablo Canyon Power Plant 51 KLD Engineering, P.C.

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estimates presented in this report. Consequently, the ETE presented in this report are higher than the actual evacuation time, if this hypothetical situation were to take place.

The notification process consists of two events:

1. Transmitting information using the alert notification systems available within the EPZ (e.g. sirens, tone alerts, EAS broadcasts, and loud speakers).

2. Receiving and correctly interpreting the information that is transmitted.

The population within the EPZ is dispersed over an area of approximately 275 square miles and is engaged in a wide variety of activities. It must be anticipated that some time will elapse between the transmission and receipt of the information advising the public of an accident.

The amount of elapsed time will vary from one individual to the next depending on where that person is, what that person is doing, and related factors. Furthermore, some persons who will be directly involved with the evacuation process may be outside the EPZ at the time the emergency is declared. These people may be commuters, shoppers and other travelers who reside within the EPZ and who will return to join the other household members upon receiving 0notification of an emergency.

As indicated in Section 2.13 of NUREG/CR6863, the estimated elapsed times for the receipt of notification can be expressed as a distribution reflecting the different notification times for different people within, and outside, the EPZ. By using time distributions, it is also possible to distinguish between different population groups and different dayofweek and timeofday scenarios, so that accurate ETE may be computed.

For example, people at home or at work within the EPZ will be notified by siren, and/or tone alert and/or radio (if available). Those well outside the EPZ will be notified by telephone, radio, TV and wordofmouth, with potentially longer time lags. Furthermore, the spatial distribution of the EPZ population will differ with time of day families will be united in the evenings, but dispersed during the day. In this respect, weekends will differ from weekdays.

As indicated in Section 4.1 of NUREG/CR7002, the information required to compute trip generation times is typically obtained from a telephone survey of EPZ residents. Such a survey was conducted in support of this ETE study. Appendix F presents the survey sampling plan, survey instrument, and raw survey results. The remaining discussion will focus on the application of the trip generation data obtained from the telephone survey to the development of the ETE documented in this report.

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5.2 Fundamental Considerations The environment leading up to the time that people begin their evacuation trips consists of a sequence of events and activities. Each event (other than the first) occurs at an instant in time and is the outcome of an activity.

Activities are undertaken over a period of time. Activities may be in "series" (i.e. to undertake an activity implies the completion of all preceding events) or may be in parallel (two or more activities may take place over the same period of time). Activities conducted in series are functionally dependent on the completion of prior activities; activities conducted in parallel are functionally independent of one another. The relevant events associated with the public's preparation for evacuation are:

Event Number Event Description 1 Notification 2 Awareness of Situation 3 Depart Work 4 Arrive Home 5 Depart on Evacuation Trip Associated with each sequence of events are one or more activities, as outlined below:

Table 51. Event Sequence for Evacuation Activities Event Sequence Activity Distribution 12 Receive Notification 1 23 Prepare to Leave Work 2 2,3 4 Travel Home 3 2,4 5 Prepare to Leave to Evacuate 4 N/A Snow Clearance 5 These relationships are shown graphically in Figure 51.

An Event is a state that exists at a point in time (e.g., depart work, arrive home)

An Activity is a process that takes place over some elapsed time (e.g., prepare to leave work, travel home)

As such, a completed Activity changes the state of an individual (e.g. the activity, travel home changes the state from depart work to arrive home). Therefore, an Activity can be described as an Event Sequence; the elapsed times to perform an event sequence vary from one person to the next and are described as statistical distributions on the following pages.

An employee who lives outside the EPZ will follow sequence (c) of Figure 51. A household Diablo Canyon Power Plant 53 KLD Engineering, P.C.

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within the EPZ that has one or more commuters at work, and will await their return before beginning the evacuation trip will follow the first sequence of Figure 51(a). A household within the EPZ that has no commuters at work, or that will not await the return of any commuters, will follow the second sequence of Figure 51(a), regardless of day of week or time of day.

Households with no commuters on weekends or in the evening/nighttime will follow the applicable sequence in Figure 51(b). Transients will always follow one of the sequences of Figure 51(b). Some transients away from their residence could elect to evacuate immediately without returning to the residence, as indicated in the second sequence.

It is seen from Figure 51, that the Trip Generation time (i.e. the total elapsed time from Event 1 to Event 5) depends on the scenario and will vary from one household to the next.

Furthermore, Event 5 depends, in a complicated way, on the time distributions of all activities preceding that event. That is, to estimate the time distribution of Event 5, we must obtain estimates of the time distributions of all preceding events. For this study, we adopt the conservative posture that all activities will occur in sequence.

In some cases, assuming certain events occur strictly sequential (for instance, commuter returning home before beginning preparation to leave) can result in rather conservative (that is, longer) estimates of mobilization times. It is reasonable to expect that at least some parts of these events will overlap for many households, but that assumption is not made in this study.

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1 2 3 4 5 Residents Households wait 1

for Commuters Households without Residents 1 2 5 Commuters and households who do not wait for Commuters (a) Accident occurs during midweek, at midday; year round Residents, Transients 1 2 4 5 Return to residence, away from then evacuate Residence Residents, 1 2 5 Residents at home; Transients at transients evacuate directly Residence (b) Accident occurs during weekend or during the evening2 1 2 3, 5 (c) Employees who live outside the EPZ ACTIVITIES EVENTS 1 2 Receive Notification 1. Notification 2 3 Prepare to Leave Work 2. Aware of situation 2, 3 4 Travel Home 3. Depart work 2, 4 5 Prepare to Leave to Evacuate 4. Arrive home

5. Depart on evacuation trip Activities Consume Time 1

Applies for evening and weekends also if commuters are at work.

2 Applies throughout the year for transients.

Figure 51. Events and Activities Preceding the Evacuation Trip Diablo Canyon Power Plant 55 KLD Engineering, P.C.

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5.3 Estimated Time Distributions of Activities Preceding Event 5 The time distribution of an event is obtained by "summing" the time distributions of all prior contributing activities. (This "summing" process is quite different than an algebraic sum since it is performed on distributions - not scalar numbers).

Time Distribution No. 1, Notification Process: Activity 1 2 It is assumed (based on the presence of sirens within the EPZ) that 87 percent of those within the EPZ will be aware of the accident within 30 minutes with the remainder notified within the following 15 minutes. The notification distribution is given below:

Table 52. Time Distribution for Notifying the Public Elapsed Time Percent of (Minutes) Population Notified 0 0%

5 7%

10 13%

15 27%

20 47%

25 66%

30 87%

35 92%

40 97%

45 100%

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Distribution No. 2, Prepare to Leave Work: Activity 2 3 It is reasonable to expect that the vast majority of business enterprises within the EPZ will elect to shut down following notification and most employees would leave work quickly. Commuters, who work outside the EPZ could, in all probability, also leave quickly since facilities outside the EPZ would remain open and other personnel would remain. Personnel or farmers responsible for equipment/livestock would require additional time to secure their facility. The distribution of Activity 2 3 shown in Table 53 reflects data obtained by the telephone survey. This distribution is plotted in Figure 52.

Table 53. Time Distribution for Employees to Prepare to Leave Work Cumulative Percent Elapsed Time Employees (Minutes) Leaving Work 0 0%

5 45%

10 65%

15 76%

20 82%

25 82%

30 94%

35 94%

40 95%

45 96%

50 96%

55 96%

60 100%

NOTE: The survey data was normalized to distribute the "Don't know" response. That is, the sample was reduced in size to include only those households who responded to this question. The underlying assumption is that the distribution of this activity for the Dont know responders, if the event takes place, would be the same as those responders who provided estimates.

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Distribution No. 3, Travel Home: Activity 3 4 These data are provided directly by those households which responded to the telephone survey. This distribution is plotted in Figure 52 and listed in Table 54.

Table 54. Time Distribution for Commuters to Travel Home Cumulative Elapsed Time Percent (Minutes) Returning Home 0 0 5 15%

10 38%

15 60%

20 76%

25 82%

30 94%

35 96%

40 98%

45 99%

50 99%

55 99%

60 100%

NOTE: The survey data was normalized to distribute the "Don't know" response Diablo Canyon Power Plant 58 KLD Engineering, P.C.

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Distribution No. 4, Prepare to Leave Home: Activity 2, 4 5 These data are provided directly by those households which responded to the telephone survey. This distribution is plotted in Figure 52 and listed in Table 55.

Table 55. Time Distribution for Population to Prepare to Evacuate Cumulative Elapsed Time Percent Ready to (Minutes) Evacuate 0 0%

15 23%

30 62%

45 68%

60 85%

75 91%

90 92%

105 92%

120 96%

135 99%

150 99%

165 99%

180 100%

NOTE: The survey data was normalized to distribute the "Don't know" response Diablo Canyon Power Plant 59 KLD Engineering, P.C.

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Mobilization Activities 100%

80%

60%

Notification Prepare to Leave Work Travel Home 40%

% of Population Completing Mobilization Activity Prepare Home 20%

0%

0 30 60 90 120 150 180 Elapsed Time from Start of Mobilization Activity (min)

Figure 52. Evacuation Mobilization Activities Diablo Canyon Power Plant 510 KLD Engineering, P.C.

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5.4 Calculation of Trip Generation Time Distribution The time distributions for each of the mobilization activities presented herein must be combined to form the appropriate Trip Generation Distributions. As discussed above, this study assumes that the stated events take place in sequence such that all preceding events must be completed before the current event can occur. For example, if a household awaits the return of a commuter, the worktohome trip (Activity 3 4) must precede Activity 4 5.

To calculate the time distribution of an event that is dependent on two sequential activities, it is necessary to sum the distributions associated with these prior activities. The distribution summing algorithm is applied repeatedly as shown to form the required distribution. As an outcome of this procedure, new time distributions are formed; we assign letter designations to these intermediate distributions to describe the procedure. Table 56 presents the summing procedure to arrive at each designated distribution.

Table 56. Mapping Distributions to Events Apply Summing Algorithm To: Distribution Obtained Event Defined Distributions 1 and 2 Distribution A Event 3 Distributions A and 3 Distribution B Event 4 Distributions B and 4 Distribution C Event 5 Distributions 1 and 4 Distribution D Event 5 Table 57 presents a description of each of the final trip generation distributions achieved after the summing process is completed.

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Table 57. Description of the Distributions Distribution Description Time distribution of commuters departing place of work (Event 3). Also applies A to employees who work within the EPZ who live outside, and to Transients within the EPZ.

B Time distribution of commuters arriving home (Event 4).

Time distribution of residents with commuters who return home, leaving home C

to begin the evacuation trip (Event 5).

Time distribution of residents without commuters returning home, leaving home D

to begin the evacuation trip (Event 5).

5.4.1 Statistical Outliers As already mentioned, some portion of the survey respondents answer dont know to some questions or choose to not respond to a question. The mobilization activity distributions are based upon actual responses. But, it is the nature of surveys that a few numeric responses are inconsistent with the overall pattern of results. An example would be a case in which for 540 responses, almost all of them estimate less than two hours for a given answer, but 3 say four hours and 4 say six or more hours.

These outliers must be considered: are they valid responses, or so atypical that they should be dropped from the sample?

In assessing outliers, there are three alternates to consider:

1) Some responses with very long times may be valid, but reflect the reality that the respondent really needs to be classified in a different population subgroup, based upon special needs;

2) Other responses may be unrealistic (6 hours6.944444e-5 days <br />0.00167 hours <br />9.920635e-6 weeks <br />2.283e-6 months <br /> to return home from commuting distance, or 2 days to prepare the home for departure);

3) Some high values are representative and plausible, and one must not cut them as part of the consideration of outliers.

The issue of course is how to make the decision that a given response or set of responses are to be considered outliers for the component mobilization activities, using a method that objectively quantifies the process.

There is considerable statistical literature on the identification and treatment of outliers singly or in groups, much of which assumes the data is normally distributed and some of which uses non parametric methods to avoid that assumption. The literature cites that limited work has been done directly on outliers in sample survey responses.

In establishing the overall mobilization time/trip generation distributions, the following principles Diablo Canyon Power Plant 512 KLD Engineering, P.C.

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are used:

1) It is recognized that the overall trip generation distributions are conservative estimates, because they assume a household will do the mobilization activities sequentially, with no overlap of activities;

2) The individual mobilization activities (prepare to leave work, travel home, prepare home are reviewed for outliers, and then the overall trip generation distributions are created (see Figure 51, Table 56, Table 57);

3) Outliers can be eliminated either because the response reflects a special population (e.g.

special needs, transit dependent) or lack of realism, because the purpose is to estimate trip generation patterns for personal vehicles;

4) To eliminate outliers, a) the mean and standard deviation of the specific activity are estimated from the responses, b) the median of the same data is estimated, with its position relative to the mean noted, c) the histogram of the data is inspected, and d) all values greater than 3.5 standard deviations are flagged for attention, taking special note of whether there are gaps (categories with zero entries) in the histogram display.

In general, only flagged values more than 4 standard deviations from the mean are allowed to be considered outliers, with gaps in the histogram expected.

When flagged values are classified as outliers and dropped, steps a to d are repeated.

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5) As a practical matter, even with outliers eliminated by the above, the resultant histogram, viewed as a cumulative distribution, is not a normal distribution. A typical situation that results is shown below in Figure 53.

100.0%

90.0%

80.0%

Cumulative Percentage (%)

70.0%

60.0%

50.0%

40.0%

30.0%

20.0%

10.0%

0.0%

112.5 2.5 7.5 12.5 17.5 22.5 27.5 32.5 37.5 42.5 47.5 52.5 57.5 67.5 82.5 97.5 Center of Interval (minutes)

Cumulative Data Cumulative Normal Figure 53. Comparison of Data Distribution and Normal Distribution

6) In particular, the cumulative distribution differs from the normal distribution in two key aspects, both very important in loading a network to estimate evacuation times:

Most of the real data is to the left of the normal curve above, indicating that the network loads faster for the first 8085% of the vehicles, potentially causing more (and earlier) congestion than otherwise modeled; The last 1015% of the real data tails off slower than the comparable normal curve, indicating that there is significant traffic still loading at later times.

Because these two features are important to preserve, it is the histogram of the data that is used to describe the mobilization activities, not a normal curve fit to the data. One could consider other distributions, but using the shape of the actual data curve is unambiguous and preserves these important features;

7) With the mobilization activities each modeled according to Steps 16, including preserving the features cited in Step 6, the overall (or total) mobilization times are constructed.

This is done by using the data sets and distributions under different scenarios (e.g. commuter returning, no commuter returning). In general, these are additive, using weighting based upon the Diablo Canyon Power Plant 514 KLD Engineering, P.C.

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probability distributions of each element; Figure 54 presents the combined trip generation distributions designated A, C, and D. These distributions are presented on the same time scale.

(As discussed earlier, the use of strictly additive activities is a conservative approach, because it makes all activities sequential - preparation for departure follows the return of the commuter. In practice, it is reasonable that some of these activities are done in parallel, at least to some extent -

for instance, preparation to depart begins by a household member at home while the commuter is still on the road.)

The mobilization distributions that result are used in their tabular/graphical form as direct inputs to later computations that lead to the ETE.

The DYNEV II simulation model is designed to accept varying rates of vehicle trip generation for each origin centroid, expressed in the form of histograms. These histograms, which represent Distributions A, C, and D properly displaced with respect to one another, are tabulated in Table 58 (Distribution B, Arrive Home, omitted for clarity).

The final three time periods (11 through 13) are 600 minutes long. These time periods are added to allow the analysis network to clear, in the event congestion persists beyond the trip generation period. Note that there are no trips generated during these final time periods.

5.4.2 Staged Evacuation Trip Generation As defined in NUREG/CR7002, staged evacuation consists of the following:

1. PAZs comprising the 2 mile region are advised to evacuate immediately

2. PAZs comprising regions extending from 2 to 5 miles downwind are advised to shelter inplace while the two mile region is cleared

3. As vehicles evacuate the 2 mile region, sheltered people from 2 to 5 miles downwind continue preparation for evacuation

4. The population sheltering in the 2 to 5 mile region are advised to begin evacuating when approximately 90% of those originally within the 2 mile region evacuate across the 2 mile region boundary

5. Noncompliance with the shelter recommendation is the same as the shadow evacuation percentage of 20%

Assumptions

1. The 6 mile region will be treated as the 5 mile region described above due to the unique nature of the DCPP EPZ.

2. The EPZ population in PAZs beyond 6 miles will react as does the population in the 2 to 6 mile region; that is they will first shelter, then evacuate after the 90th percentile ETE for the 2 mile region

3. The population in the shadow region beyond the EPZ boundary, extending to approximately 20 miles radially from the plant (up to 28 miles in the southeast), will Diablo Canyon Power Plant 515 KLD Engineering, P.C.

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react as they do for all nonstaged evacuation scenarios. That is 20% of these households will elect to evacuate with no shelter delay.

4. The transient population will not be expected to stage their evacuation because of the limited sheltering options available to people who may be at parks, on a beach, or other venues. Also, notifying the transient population of a staged evacuation would prove difficult.

5. Employees will also be assumed to evacuate without first sheltering.

6. An additional staged evacuation in which the 6 mile region evacuates, and PAZs comprising regions extending from 6 to 10 miles downwind are advised to shelterin place until the 90th percentile ETE for the 6 mile region.

Procedure

1. Trip generation for population groups in the 2 mile region (and 6 mile region for second set of staged evacuation cases) will be as computed based upon the results of the telephone survey and analysis.

2. Trip generation for the population subject to staged evacuation will be formulated as follows:

a. Identify the 90th percentile evacuation time for the PAZs comprising the two mile region (and 6 mile region for second set of staged evacuation cases). This value, TScen*, is obtained from simulation results. It will become the time at which the region being sheltered will be told to evacuate for each scenario.

b. The resultant trip generation curves for staging are then formed as follows:

i. The nonshelter trip generation curve is followed until a maximum of 20%

of the total trips are generated (to account for shelter noncompliance).

ii. No additional trips are generated until time TScen*

iii. Following time TScen*, the balance of trips are generated:

1. by stepping up and then following the nonshelter trip generation curve (if TScen* is < max trip generation time) or

2. by stepping up to 100% (if TScen* is > max trip generation time)

c. Note: This procedure implies that there may be different staged trip generation distributions for different scenarios. NUREG/CR7002 uses the statement approximately 90th percentile as the time to end staging and begin evacuating.

The value of TScen* is 1:00 for the 2mile region and 1:15 for the 6mile region.

3. Staged trip generation distributions are created for the following population groups:

a. Residents with returning commuters

b. Residents without returning commuters Figure 55 presents the staged trip generation distributions for both residents with and without returning commuters; the 90th percentile twomile and sixmile evacuation time are 60 minutes and 75 minutes, respectively, as discussed above. At the 90th percentile evacuation time, approximately 20% of the population (who have completed their mobilization activities) advised to shelter has nevertheless departed the area. These people do not comply with the Diablo Canyon Power Plant 516 KLD Engineering, P.C.

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shelter advisory. Also included on the plot are the trip generation distributions for these groups as applied to the regions advised to evacuate immediately.

Since the 90th percentile evacuation time occurs before the end of the trip generation time, after the sheltered region is advised to evacuate, the shelter trip generation distribution rises to meet the balance of the nonstaged trip generation distribution. Following time TScen*, the balance of staged evacuation trips that are ready to depart are released within 15 minutes. After TScen*+15, the remainder of evacuation trips are generated in accordance with the unstaged trip generation distribution.

Table 59 provides the trip generation for both 2 mile staged evacuation and 6 mile staged evacuation.

5.4.3 Trip Generation for Waterways and Recreational Areas According to the Standard Operating Procedure for the State Department of Parks and Recreation (part of the San Luis Obispo County Nuclear Plant Emergency Response Plan), the Department of Parks and Recreation (State Parks) is responsible for notifying the public in State parks and beaches. State Parks is also responsible for coordinating the closure and evacuation of the State Parks located in the vicinity of the Diablo Canyon Power Plant.

As indicated in Table 52, this study assumes 100% notification in 45 minutes. Table 58 indicates that all transients will have mobilized within 2 hours2.314815e-5 days <br />5.555556e-4 hours <br />3.306878e-6 weeks <br />7.61e-7 months <br />. It is assumed that this 2 hour2.314815e-5 days <br />5.555556e-4 hours <br />3.306878e-6 weeks <br />7.61e-7 months <br /> timeframe is sufficient time for boaters, campers and other transients to return to their vehicles and begin their evacuation trip.

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Trip Generation Distributions Employees/Transients Residents with Commuters Residents with no Commuters 100 80 60 40 20 Percent of Population Beginning Evacuation Trip 0

0 60 120 180 240 300 Elapsed Time from Evacuation Order (min)

Figure 54. Comparison of Trip Generation Distributions Diablo Canyon Power Plant 518 KLD Engineering, P.C.

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Table 58. Trip Generation Histograms for the EPZ Population for Unstaged Evacuation Percent of Total Trips Generated Within Indicated Time Period Residents Residents with Without Time Duration Employees Transients Commuters Commuters Period (Min) (Distribution A) (Distribution A) (Distribution C) (Distribution D) 1 15 7% 7% 0% 2%

2 15 36% 36% 1% 11%

3 15 36% 36% 4% 26%

4 15 14% 14% 14% 24%

5 15 4% 4% 20% 13%

6 15 2% 2% 19% 10%

7 30 1% 1% 24% 6%

8 30 0% 0% 9% 5%

9 60 0% 0% 8% 3%

10 60 0% 0% 1% 0%

11 600 0% 0% 0% 0%

12 600 0% 0% 0% 0%

13 600 0% 0% 0% 0%

NOTE:

Shadow vehicles are loaded onto the analysis network (Figure 12) using Distribution C.

Special event vehicles are loaded using Distribution A.

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Staged and Unstaged Evacuation Trip Generation Employees / Transients Residents with Commuters Residents with no Commuters Staged Residents with Commuters (6 to 10mile Region)

Staged Residents with no Commuters (6 to 10Mile Region)

Staged Residents with Commuters (2 to 6Mile Region)

Staged Residents with no Commuters (2 to 6Mile Region) 100 80 60 40 Percent of Population Evacuating 20 0

0 30 60 90 120 150 180 210 240 270 300 Elapsed Time from Evacuation Order (min)

Figure 55. Comparison of Staged and Unstaged Trip Generation Distributions in the 2 to 6 Mile Region and the 6 to 10 Mile Region Diablo Canyon Power Plant 520 KLD Engineering, P.C.

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Table 59. Trip Generation Histograms for the EPZ Population for Staged Evacuations Percent of Total Trips Generated Within Percent of Total Trips Generated Within Indicated Time Period* (2 to 6Mile Indicated Time Period* (6 to 10Mile Region) Region)

Residents with Residents Without Residents with Residents Without Time Duration Commuters Commuters Commuters Commuters Period (Min) (Distribution C) (Distribution D) (Distribution C) (Distribution D) 1 15 0% 0% 0% 0%

2 15 0% 3% 0% 3%

3 15 1% 5% 1% 5%

4 15 3% 5% 3% 5%

5 15 35% 63% 4% 2%

6 15 19% 10% 50% 71%

7 30 24% 6% 24% 6%

8 30 9% 5% 9% 5%

9 60 8% 3% 8% 3%

10 60 1% 0% 1% 0%

11 600 0% 0% 0% 0%

12 600 0% 0% 0% 0%

13 600 0% 0% 0% 0%

• Trip Generation for Employees and Transients (see Table 58) is the same for Unstaged and Staged Evacuation.

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6 DEMAND ESTIMATION FOR EVACUATION SCENARIOS An evacuation case defines a combination of Evacuation Region and Evacuation Scenario.

The definitions of Region and Scenario are as follows:

Region A grouping of contiguous evacuating PAZs that forms either a keyhole sector based area, or a circular area within the EPZ, that must be evacuated in response to a radiological emergency.

Scenario A combination of circumstances, including time of day, day of week, season, and weather conditions. Scenarios define the number of people in each of the affected population groups and their respective mobilization time distributions.

A total of 26 Regions were defined which encompass all the groupings of PAZs considered.

These Regions are defined in Table 61 and Table 62. The PAZ configurations are identified in Figure 61. Each keyhole sectorbased area consists of a central circle centered at the power plant, and three adjoining sectors, each with a central angle of 22.5 degrees, as per NUREG/CR 7002 guidance. The central sector coincides with the wind direction. These sectors extend to 10 miles, 13 miles and 15 miles from the plant (Regions R05 through R08, Regions R09 through R13, and Regions R14 through R16, respectively) or to the EPZ boundary (Regions R17 through R19). Regions R01, R02, and R03 represent evacuations of circular areas with radii of 2, 6, and 10, respectively. Region R21 is identical to Region R02 except that PAZ 2 is staged until 90% of the 2mile region (R01) has evacuated. Regions R22 through R26 are identical to Regions R05, R06, R03, R07, and R08, respectively; however, those PAZs between 6 miles and 10 miles are staged until 90% of the 6mile region (Region R02) has evacuated.

A total of 12 Scenarios were evaluated for all Regions. Thus, there are a total of 26x12=312 evacuation cases. Table 63 is a description of all Scenarios.

Each combination of region and scenario implies a specific population to be evacuated. Table 64 presents the percentage of each population group estimated to evacuate for each scenario.

Table 65 presents the vehicle counts for each scenario for an evacuation of Region R04 - the entire EPZ.

The vehicle estimates presented in Section 3 are peak values. These peak values are adjusted depending on the scenario and region being considered to represent average numbers, using scenario and region specific percentages; the scenario percentages are presented in Table 64, while the regional percentages are provided in Table H1. The percentages presented in Table 64 were determined as follows:

The number of residents with commuters during the week (when workforce is at its peak) is equal to the product of 50% (the number of households with at least one commuter) and 44%

(the number of households with a commuter that would await the return of the commuter prior to evacuating). See assumption 3 in Section 2.3. It is estimated for weekend and evening scenarios that 10% of households with commuters will have a commuter at work during those Diablo Canyon Power Plant 61 KLD Engineering, P.C.

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times.

Employment is assumed to be at its peak during the winter, midweek, midday scenarios.

Employment is reduced slightly (96%) for summer, midweek, midday scenarios. This is based on the estimation that 50% of the employees commuting into the EPZ will be on vacation for a week during the approximate 12 weeks of summer. It is further estimated that those taking vacation will be uniformly dispersed throughout the summer with approximately 4% of employees vacationing each week. It is further estimated that only 10% of the employees are working in the evenings and during the weekends. Appendix N summarizes transient population by Scenario and PAZ.

Transient activity is estimated to be at its peak during summer weekends and less (80%) during the week. As shown in Appendix E, there is a significant amount of lodging and campgrounds offering overnight accommodations in the EPZ; thus, transient activity is estimated to be about half during evening hours - 57% for summer and 37% for winter. Transient activity on winter weekends is estimated to be 65%. Appendix N summarizes transient population by Scenario and PAZ.

As noted in the shadow footnote to Table 64, the shadow percentages are computed using a base of 20% (see assumption 5 in Section 2.2); to include the employees within the shadow region who may choose to evacuate, the voluntary evacuation is multiplied by a scenario specific proportion of employees to permanent residents in the shadow region. For example, using the values provided in Table 65 for Scenario 1, the shadow percentage is computed as follows:

17,036 20% 1 24%

17,555 62,227 One special event - July 4th Fireworks Show at Avila Beach (transients present at Avila Beach observing fireworks at Pismo Beach), Pismo Beach, and Morro Bay Harbor - was considered as Scenario 11. Thus, the special event traffic is 100% evacuated for Scenario 11, and 0% for all other scenarios.

It is estimated that summer school enrollment is approximately 10% of enrollment during the regular school year for summer, midweek, midday scenarios. School is not in session during weekends and evenings, thus no buses for school children are needed under those circumstances. As discussed in Section 7, schools are in session during the winter season, midweek, midday and 100% of buses will be needed under those circumstances. Transit buses for the transitdependent population are set to 100% for all scenarios as it is assumed that the transitdependent population is present in the EPZ for all scenarios.

External traffic is estimated to be reduced by 60% during evening scenarios and is 100% for all other scenarios.

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Table 61. Description of Evacuation Regions PAZ Corresponds to Region Description PG&E Scenario 1 2 3 4 5 6 7 8 9 10 11 12 Number:

R01 2Mile Ring X N/A 6Mile Ring R02 (similar to the FEMA 5 X X 1 Base mile ring)

R03 FEMA EPZ X X X X X N/A R04 Full EPZ X X X X X X X X X X X X 10 BEPZ Evacuate 2Mile Radius and Downwind to 6 Miles Wind Direction PAZ Region From: 1 2 3 4 5 6 7 8 9 10 11 12 SE, SSE, S, SSW, SW, WSW, W, WNW, NW, Refer to Region R02 1 Base NNW N, NNE, NE, ENE, E, ESE Refer to Region R01 N/A Evacuate 6Mile Radius and Downwind to 10 miles Wind Direction PAZ Region From: 1 2 3 4 5 6 7 8 9 10 11 12 R05 SSE, S X X X 2 NorthA R06 SSW, SW X X X X N/A WSW Refer to Region R03 N/A R07 W, WNW X X X X N/A R08 NW, NNW X X X 6 SoutheastA N, NNE, NE, ENE, E, ESE, Refer to Region R02 1 Base SE Evacuate 6Mile Radius and Downwind to 13 miles PAZ Region Wind Direction From:

1 2 3 4 5 6 7 8 9 10 11 12 R09 SSE, S X X X X 3 NorthB R10 SSW, SW X X X X X X 5 North & East R11 WSW X X X X X X X X N/A R12 W, WNW X X X X X X X N/A R13 NW, NNW X X X X X 7 Southeast B N, NNE, NE, ENE, E, ESE, Refer to Region R02 1 Base SE Diablo Canyon Power Plant 63 KLD Engineering, P.C.

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Table 61. Description of Evacuation Regions Continued Evacuate 6Mile Radius and Downwind to 15 miles Corresponds PAZ to PG&E Region Wind Direction From: Scenario 1 2 3 4 5 6 7 8 9 10 11 12 Number:

SSE, S Refer to Region R09 3 NorthB 5 North &

SSW, SW Refer to Region R10 East R14 WSW X X X X X X X X X N/A R15 W, WNW X X X X X X X X X N/A 8 Southeast R16 NW, NNW X X X X X X X C

N, NNE, NE, ENE, E, ESE, SE Refer to Region R02 1 Base Evacuate 6Mile Radius and Downwind to EPZ Boundary PAZ Region Wind Direction From:

1 2 3 4 5 6 7 8 9 10 11 12 SSE, S Refer to Region R09 3 NorthB 5 North &

SSW, SW Refer to Region R10 East WSW Refer to Region R14 N/A R17 W, WNW X X X X X X X X X X N/A 9 Southeast R18 NW X X X X X X X X D

NNW, N, NNE, NE, ENE, E, R19 X X X N/A ESE, SE N, NNE, NE, ENE, N, ESE, SE Refer to Region R02 1 Base Site Specific Regions PAZ Region Wind Direction From:

1 2 3 4 5 6 7 8 9 10 11 12 R20 W X X X X 4 East (all)

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Table 62. Description of Staged Evacuation Regions Staged Evacuation 2Mile Radius Evacuates, then Evacuate Downwind to 6 Miles PAZ Region Wind Direction From: 1 2 3 4 5 6 7 8 9 10 11 12 SE, SSE, S, SSW, SW, WSW, W, WNW, X X N/A R21 NW, NNW N, NNE, NE, ENE, E, ESE Refer to Region R01 N/A PAZ(s) Shelterin ShelterinPlace until 90% ETE for R01, then Evacuate Place PAZ(s) Evacuate Staged Evacuation 6Mile Radius Evacuates, then Evacuate Downwind to 10 Miles PAZ Region Wind Direction From: 1 2 3 4 5 6 7 8 9 10 11 12 R22 SSE, S X X X N/A R23 SSW, SW X X X X N/A R24 WSW X X X X X N/A R25 W, WNW X X X X N/A R26 NW X X X N/A NNW, N, NNE, NE, ENE, E, ESE, SE Refer to Region R02 N/A PAZ(s) Shelterin ShelterinPlace until 90% ETE for R02, then Evacuate Place PAZ(s) Evacuate Diablo Canyon Power Plant 65 KLD Engineering, P.C.

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Figure 61. DCPP EPZ Diablo Canyon Power Plant 66 KLD Engineering, P.C.

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Table 63. Evacuation Scenario Definitions Scenarios Season1 Day of Week Time of Day Weather Special 1 Summer Midweek Midday Good None 2 Summer Midweek Midday Rain None 3 Summer Weekend Midday Good None 4 Summer Weekend Midday Rain None Midweek, 5 Summer Evening Good None Weekend 6 Winter Midweek Midday Good None 7 Winter Midweek Midday Rain None 8 Winter Weekend Midday Good None 9 Winter Weekend Midday Rain None Midweek, 10 Winter Evening Good None Weekend Firework Shows at Avila Beach2, Pismo 11 Summer Midweek Evening Good Beach, and Morro Bay Harbor Lane Closure 12 Summer Midweek Midday Good southbound on US 101 1

Winter assumes that school is in session (also applies to spring and autumn). Summer assumes that school is not in session.

2 Transients present at Avila Beach to observe the fireworks at Pismo Beach Diablo Canyon Power Plant 67 KLD Engineering, P.C.

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Table 64. Percent of Population Groups Evacuating for Various Scenarios Households Households With Without External Returning Returning Special School Transit Through Scenario Commuters Commuters Employees Transients Shadow Events Buses Buses Traffic 1 22% 78% 96% 80% 24% 0% 10% 100% 100%

2 22% 78% 96% 80% 24% 0% 10% 100% 100%

3 10% 90% 10% 100% 20% 0% 0% 100% 100%

4 10% 90% 10% 100% 20% 0% 0% 100% 100%

5 10% 90% 10% 57% 20% 0% 0% 100% 40%

6 22% 78% 100% 50% 24% 0% 100% 100% 100%

7 22% 78% 100% 50% 24% 0% 100% 100% 100%

8 10% 90% 10% 65% 20% 0% 0% 100% 100%

9 10% 90% 10% 65% 20% 0% 0% 100% 100%

10 10% 90% 10% 37% 20% 0% 0% 100% 40%

11 10% 90% 10% 57% 20% 100% 0% 100% 100%

12 22% 78% 96% 80% 24% 0% 10% 100% 100%

Resident Households with Commuters .......Households of EPZ residents who await the return of commuters prior to beginning the evacuation trip.

Resident Households with No Commuters ..Households of EPZ residents who do not have commuters or will not await the return of commuters prior to beginning the evacuation trip.

Employees..................................................EPZ employees who live outside the EPZ Transients ..................................................People who are in the EPZ at the time of an accident for recreational or other (nonemployment) purposes.

Shadow ......................................................Residents and employees in the shadow region (outside of the EPZ) who will spontaneously decide to relocate during the evacuation. The basis for the values shown is a 20% relocation of shadow residents along with a proportional percentage of shadow employees.

Special Events ............................................Additional vehicles in the EPZ due to the identified special event.

School and Transit Buses ............................Vehicleequivalents present on the road during evacuation servicing schools and transitdependent people (1 bus is equivalent to 2 passenger vehicles).

External Through Traffic .............................Traffic on interstates/freeways and major arterial roads at the start of the evacuation. This traffic is stopped by access control approximately 30 minutes after the evacuation begins.

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Table 65. Vehicle Estimates by Scenario Households Households With Without Total Returning Returning Special School Transit External Scenario Scenario Commuters Commuters Employees Transients Shadow Events Buses Buses Through Traffic Vehicles 1 17,555 62,227 17,036 11,937 3,241 82 228 3,276 115,582 2 17,555 62,227 17,036 11,937 3,241 82 228 3,276 115,582 3 1,755 78,027 1,775 14,921 2,730 228 3,276 102,712 4 1,755 78,027 1,775 14,921 2,730 228 3,276 102,712 5 1,755 78,027 1,775 8,505 2,730 228 1,310 94,330 6 17,555 62,227 17,746 7,461 3,265 824 228 3,276 112,582 7 17,555 62,227 17,746 7,461 3,265 824 228 3,276 112,582 8 1,755 78,027 1,775 9,699 2,730 228 3,276 97,490 9 1,755 78,027 1,775 9,699 2,730 228 3,276 97,490 10 1,755 78,027 1,775 5,521 2,730 228 1,310 91,346 11 1,755 78,027 1,775 8,505 2,730 54,193 228 3,276 149,446 12 17,555 62,227 17,036 11,937 3,241 82 228 3,276 115,582 Note: Vehicle estimates are for an evacuation of the entire EPZ (Region R04)

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7 GENERAL POPULATION EVACUATION TIME ESTIMATES (ETE)

This section presents the ETE results of the computer analyses using the DYNEV II System described in Appendices B, C and D. These results cover 26 regions within the DCPP EPZ and the 12 Evacuation Scenarios discussed in Section 6.

The ETE for all Evacuation Cases are presented in Table 71 and Table 72. These tables present the estimated times to clear the indicated population percentages from the Evacuation Regions for all Evacuation Scenarios. The ETE of the 2mile region in both staged and unstaged regions are presented in Table 73 and Table 74. Table 75 and Table 76 define the Evacuation Regions considered. The tabulated values of ETE are obtained from the DYNEV II System outputs which are generated at 5minute intervals.

7.1 Voluntary Evacuation and Shadow Evacuation Voluntary evacuees are people within the EPZ in PAZs for which an Evacuation Order has not been issued, yet who elect to evacuate. Shadow evacuation is the voluntary outward movement of some people from the Shadow Region (outside the EPZ) for whom no protective action decision has been issued. Both voluntary and shadow evacuations are assumed to take place over the same time frame as the evacuation from within the impacted Evacuation Region.

The ETE for the DCPP EPZ addresses the issue of voluntary evacuees in the manner shown in Figure 71 and Figure 72. Within the EPZ, 20 percent of people located in PAZs outside of the evacuation region who are not advised to evacuate, are assumed to elect to evacuate. Similarly, it is assumed that 20 percent of those people in the Shadow Region will choose to leave the area.

Figure 73 presents the area identified as the Shadow Region. This region is called the Public Education Zone (PEZ). This area is defined as an area in which residents are provided with general information about Diablo Canyon, but are not likely to be affected by an emergency at the power plant. The population and number of evacuating vehicles in the Shadow Region were estimated using the same methodology that was used for permanent residents within the EPZ (see Section 3.1). As discussed in Section 3.2, it is estimated that a total of 23,613 people reside in the Shadow Region; 20 percent of them would evacuate. See Table 65 for the number of evacuating vehicles from the Shadow Region.

Traffic generated within this Shadow Region, traveling away from the DCPP location, has the potential for impeding evacuating vehicles from within the Evacuation Region. All ETE calculations include this shadow traffic movement.

7.2 Staged Evacuation As defined in NUREG/CR7002, staged evacuation consists of the following:

1. PAZs comprising the 2 mile region are advised to evacuate immediately.

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2. PAZs comprising regions extending from 2 to 6 miles downwind are advised to shelter inplace while the two mile region is cleared.

3. As vehicles evacuate the 2 mile region, people from 2 to 6 miles downwind continue preparation for evacuation while they shelter.

4. The population sheltering in the 2 to 6 mile region is advised to evacuate when approximately 90% of the 2 mile region evacuating traffic crosses the 2 mile region boundary.

5. Noncompliance with the shelter recommendation is the same as the shadow evacuation percentage of 20%.

A second staged evacuation was considered for this study and consists of the following:

1. PAZs comprising the 6 mile region are advised to evacuate immediately.

2. PAZs comprising regions extending from 6 to 10 miles downwind are advised to shelter inplace while the 6 mile region is cleared.

3. As vehicles evacuate the 6 mile region, people from 6 to 10 miles downwind continue preparation for evacuation while they shelter.

4. The population sheltering in the 6 to 10 mile region is advised to evacuate when approximately 90% of the 6 mile region evacuating traffic crosses the 6 mile region boundary.

5. Noncompliance with the shelter recommendation is the same as the shadow evacuation percentage of 20%.

See Section 5.4.2 for additional information on staged evacuation.

7.3 Patterns of Traffic Congestion during Evacuation Figure 74 through Figure 711 illustrate the patterns of traffic congestion that arise for the case when the entire EPZ (Region R04) is advised to evacuate during the summer, midweek, midday period under good weather conditions (Scenario 1).

Traffic congestion, as the term is used here, is defined as Level of Service (LOS) F. LOS F is defined as follows (HCM 2010, page 55):

The HCM uses LOS F to define operations that have either broken down (i.e., demand exceeds capacity) or have exceeded a specified service measure value, or combination of service measure values, that most users would consider unsatisfactory. However, particularly for planning applications where different alternatives may be compared, analysts may be interested in knowing just how bad the LOS F condition is. Several measures are available to describe individually, or in combination, the severity of a LOS F condition:

• Demandtocapacity ratios describe the extent to which capacity is exceeded during the analysis period (e.g., by 1%, 15%, etc.);

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• Duration of LOS F describes how long the condition persists (e.g., 15 min, 1 h, 3 h); and

• Spatial extent measures describe the areas affected by LOS F conditions. These include measures such as the back of queue, and the identification of the specific intersection approaches or system elements experiencing LOS F conditions.

All highway "links" which experience LOS F are delineated in these Figures by a thick red line; all others are lightly indicated. Congestion develops rapidly around concentrations of population and traffic bottlenecks. Figure 74 displays the developing congestion within the population centers of Cayucos, Morro Bay, San Luis Obispo, Avila Beach, Pismo Beach, Grover Beach and Arroyo Grande, just 30 minutes after the Evacuation Order. Note that State Route 1, which is servicing the externalexternal trips and the entering evacuating trips, is displaying heavy traffic demand (LOS F) between San Luis Obispo and Arroyo Grande.

At one hour, 30 minutes after the Evacuation Order, Figure 75 displays fullydeveloped congestion within these population centers and along State Route 1. The congestion to the south is now involving shadow evacuees from the Shadow Region in Nipomo. The confluence of the congestion in the cities of Arroyo Grande and Nipomo is clearly impacting the rate of travel out of the southern boundary of the EPZ.

At 4 hours4.62963e-5 days <br />0.00111 hours <br />6.613757e-6 weeks <br />1.522e-6 months <br />, 30 minutes, the general population has fully mobilized and all evacuees have begun their evacuation trip. As shown in Figure 76, the congestion in Avila Beach has cleared, but congestion in all other population centers remain. All evacuation routes out of San Luis Obispo remain congested, as the population centers to the north and south are impeding the evacuation along State Route 1 and US101.

At 6 hours6.944444e-5 days <br />0.00167 hours <br />9.920635e-6 weeks <br />2.283e-6 months <br />, 15 minutes, congestion has cleared in Morro Bay, however, State Route 1 is still experiencing heavy traffic demand, as shown in Figure 77.

At 6 hours6.944444e-5 days <br />0.00167 hours <br />9.920635e-6 weeks <br />2.283e-6 months <br />, 45 minutes, Los Osos clears of congestion, and State Route 1, in this area, has been cleared of congestion, as shown in Figure 78.

At 8 hours9.259259e-5 days <br />0.00222 hours <br />1.322751e-5 weeks <br />3.044e-6 months <br />, 10 minutes, congestion in the northern portion of the EPZ (PAZs 9 and 5) have been cleared of congestion, as shown in Figure 79. US101 remains heavily congested exiting San Luis Obispo to the north and south. Heavy congestion still remains in the southern portion of the EPZ.

At 9 hours1.041667e-4 days <br />0.0025 hours <br />1.488095e-5 weeks <br />3.4245e-6 months <br />, 15 minutes, congestion has cleared in San Luis Obispo, as shown in Figure 710.

Heavy traffic congestion still exists along major evacuation routes in Arroyo Grande and Grover Beach.

At 10 hours1.157407e-4 days <br />0.00278 hours <br />1.653439e-5 weeks <br />3.805e-6 months <br />, 15 minutes, the EPZ is clear of congestion, as shown in Figure 711.

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7.4 Evacuation Rates Evacuation is a continuous process, as implied by Figure 712 through Figure 723. These Figures indicate the rate at which traffic flows out of the indicated areas for the case of an evacuation of the 10Mile region (Region R03) and full EPZ (Region R04) under the indicated conditions. One figure is presented for each scenario considered.

As indicated in Figure 712, there is typically a long "tail" to these distributions. Vehicles begin to evacuate an area slowly at first, as people respond to the Evacuation Order at different rates.

Then traffic demand builds rapidly (slopes of curves increase). When the system becomes congested, traffic exits the EPZ at rates somewhat below capacity until some evacuation routes have cleared. As more routes clear, the aggregate rate of egress slows since many vehicles have already left the EPZ. Towards the end of the process, relatively few evacuation routes service the remaining demand.

This decline in aggregate flow rate, towards the end of the process, is characterized by these curves flattening and gradually becoming horizontal. Ideally, it would be desirable to fully saturate all evacuation routes equally so that all will service traffic near capacity levels and all will clear at the same time. For this ideal situation, all curves would retain the same slope until the end - thus minimizing evacuation time. In reality, this ideal is generally unattainable reflecting the spatial variation in population density, mobilization rates and in highway capacity over the EPZ.

7.5 Evacuation Time Estimate (ETE) Results Table 71 through Table 72 present the ETE values for all 26 Evacuation Regions and all 12 Evacuation Scenarios. Table 73 through Table 74 present the ETE values for the 2Mile region for both staged and unstaged keyhole regions downwind to 6 miles. They are organized as follows:

Table Contents ETE represents the elapsed time required for 90 percent of the 71 population within a Region, to evacuate from that Region. All Scenarios are considered, as well as Staged Evacuation scenarios.

ETE represents the elapsed time required for 100 percent of the 72 population within a Region, to evacuate from that Region. All Scenarios are considered, as well as Staged Evacuation scenarios.

ETE represents the elapsed time required for 90 percent of the 73 population within the 2mile and 6mile Regions, to evacuate from that Region with both Concurrent and Staged Evacuations.

ETE represents the elapsed time required for 100 percent of the 74 population within the 2mile and 6mile Regions, to evacuate from that Region with both Concurrent and Staged Evacuations.

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The animation snapshots described above reflect the ETE statistics for the concurrent (un staged) evacuation scenarios and regions, which are displayed in Figure 74 through Figure 711. Most of the congestion is located beyond the 6mile area; this is reflected in the ETE statistics:

The 90th percentile ETE for Regions R01 and R02 (2 and 6mile areas) are comparable and generally range between 1:00 (hr:min) and 1:20.

The 90th percentile ETE for Region R03 (FEMA EPZ) and R05 - R08 (which extend to 10 miles) are approximately 2 hours2.314815e-5 days <br />5.555556e-4 hours <br />3.306878e-6 weeks <br />7.61e-7 months <br /> longer.

The 90th percentile ETE for Region R04 (Full EPZ) and R17R19 (which extend to the EPZ boundary) are several hours longer.

The 100th percentile ETE for Regions and Scenarios within 10miles, are the same values as the mobilization times. This fact implies that the congestion within the 10mile EPZ dissipates prior to the end of mobilization. However, for those evacuation regions that extend beyond 10 miles, ETE is significantly longer than mobilization time, implying that traffic congestion does not clear prior to the completion of mobilization, as seen in Figure 76.

Comparison of Scenarios 5 and 11 in Table 71 indicates that the Special Event - firework show in Avila Beach, Pismo Beach, and Morro Bay Harbor, - has a major impact on the ETE for the 90th percentile. The 2 and 6Mile regions are not affected by the special event, but for regions extending to the 10 13 and 15Mile regions, the 90th percentile ETE increases by several hours.

Comparison of Scenarios 1 and 12 in Table 71 indicates that the roadway closure - one lane southbound on US101 from the interchange with Los Osos Valley Rd to the interchange with State Highway 166 - does have a material impact on 90th percentile ETE for keyhole regions with winds toward the south (Regions R07 through R08), and for regions which extend beyond 10 miles (Regions R09 through R20) with increases of up to two hours, 15 minutes. As shown in Figure 710 and Figure 711, congestion in the southern portion of the EPZ is last to clear, and even after the EPZ is clear of evacuees, congestion along US101 southbound still remains in the shadow.

The results of the roadway impact scenario indicate that events such as adverse weather or traffic accidents which close a lane on US101, will impact ETE. State and local police could consider traffic management tactics such as using the shoulder of the roadway as a travel lane or rerouting of traffic along other evacuation routes to avoid overwhelming US101. All efforts should be made to remove any blockage on US101.

7.6 Staged Evacuation Results Table 73 and Table 74 present a comparison of the ETE compiled for the concurrent (un staged) and staged evacuation studies. Note that Regions R2 has the same geographic area as R21, and Regions R05 through R06, R02, and R07 through R08 have the same geographic area as Regions R22 through R26, respectively.

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show that the ETE for the 2 Mile region can be reduced without significantly affecting the region between 2 miles and 6 miles. In all cases, as shown in these tables, the ETE for the 2 mile region is unchanged when a staged evacuation is implemented. The reason for this is that the congestion within the 6mile area does not extend upstream to the extent that it penetrates to within 2 miles of the plant. Consequently, the impedance, due to this congestion within the 6 mile area, to evacuees from within the 2mile area is not sufficient to materially influence the 90th percentile ETE for the 2mile area. Therefore, staging the evacuation to sharply reduce congestion within the 6mile area, provides no benefits to evacuees from within the 2 mile region and unnecessarily delays the evacuation of those beyond 2 miles.

Similarly, the results of a staged evacuation out to 10 miles do not provide a benefit to evacuees from within the 6 mile region. Comparing the 90th percentile ETE of the 6mile region between Regions R22 through R26 with Regions R05, R06, R03, R07 and R08, respectively, the ETE remains unchanged.

While failing to provide assistance to evacuees from within 2 and 6 miles of the plant, staging produces a negative impact on the ETE for those evacuating from within both the 6mile and 10mile area. A comparison of ETE between Regions, R21 and R2 reveals that staging retards the 90th percentile evacuation time for those in the 2 to 6mile area by up to 30 minutes (see Table 71). A comparison of ETE between Region R22 and R05; Region R23 and R06; Region R24 and R03; Region R25 and R07; and Region R26 and R08, reveals that staging retards the 90th percentile evacuation time for those in the 6 to 10mile area by up to 30 minutes (see Table 71). This extending of ETE is due to the delay in beginning the evacuation trip, experienced by those who shelter, plus the effect of the tripgeneration spike (significant volume of traffic beginning the evacuation trip at the same time) that follows their eventual Evacuation Order, in creating congestion within the EPZ area beyond 2 miles.

In summary, the staged evacuation option provides no benefits and adversely impacts many evacuees located beyond 2 and 6 miles from the plant.

7.7 Guidance on Using ETE Tables The user first determines the percentile of population for which the ETE is sought (The NRC guidance calls for the 90th percentile). The applicable value of ETE within the chosen Table may then be identified using the following procedure:

1. Identify the applicable Evacuation Region:

• Determine the projected azimuth direction of the plume (coincident with the wind direction). This direction is expressed in terms of compass orientation: from N, NNE, NE,

• Determine the distance that the Evacuation Region will extend from the nuclear power plant. The applicable distances and their associated candidate Regions are given below:

2 Miles (Region R01)

To 6 Miles (Region R02)

To 10 Miles (Region R03, R05 through R08)

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To 13 Miles (Regions R09 through R13)

To 15 Miles (Regions R14 through R16)

To EPZ Boundary (Regions R04, R017 through R19)

• Enter Table 75 or Table 76 and identify the applicable group of candidate Regions based on the distance that the selected Region extends from the plant. Select the Evacuation Region identifier in that row, based on the azimuth direction of the plume, from the first column of the Table.

2. With the desired percentile ETE and Region identified, now identify the applicable Scenario:

• Season Summer Winter (also Autumn and Spring)

• Day of Week Midweek Weekend

• Time of Day Midday Evening

• Weather Condition Good Weather Rain

• Special Event July 4th Fireworks Show Road Closure (A lane on US 101 SB is closed)

• Evacuation Staging No, Staged Evacuation is not considered Yes, Staged Evacuation is considered While these Scenarios are designed, in aggregate, to represent conditions throughout the year, some further clarification is warranted:

• The conditions of a summer evening (either midweek or weekend) and rain are not explicitly identified in the Tables. For these conditions, Scenarios (2) and (4) apply.

• The conditions of a winter evening (either midweek or weekend) and rain are not explicitly identified in the Tables. For these conditions, Scenarios (7) and (9) for rain apply.

• The seasons are defined as follows:

Summer assumes that public schools are not in session.

Winter (includes Spring and Autumn) considers that public schools are in session.

• Time of Day: Midday implies the time over which most commuters are at work or are travelling to/from work.

3. Determine the ETE Table based on the percentile selected. Then, for the Region identified in Step 1 and the Scenario identified in Step 2, proceed as follows:

• The columns of Table 71 are labeled with the Scenario numbers. Identify the row in this table that provides ETE values for the Region identified in Step 1.

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• Identify the proper column in the selected Table using the Scenario number defined in Step 2.

• The unique data cell defined by the column and row so determined contains the desired value of ETE expressed in Hours:Minutes.

Example It is desired to identify the ETE for the following conditions:

• Sunday, August 10th at 4:00 AM.

• It is raining.

• Wind direction is from the southwest (SW).

• Wind speed is such that the distance to be evacuated is judged to be a 6mile radius and downwind to EPZ boundary.

• The desired ETE is that value needed to evacuate 90 percent of the population from within the impacted Region.

• A staged evacuation is not desired.

Table 71 is applicable because the 90th percentile ETE is desired. Proceed as follows:

1. Enter Table 75 and locate the Region described as Evacuate 6Mile Radius and Downwind to the EPZ Boundary for wind direction from the SW (towards the NE) and read Refer to Region R10 in the PAZ column of that row.

2. Identify the Scenario as summer, weekend, evening and raining. Entering Table 71, it is seen that there is no match for these descriptors. However, the clarification given above assigns this combination of circumstances to Scenario 4.

3. Enter Table 71 to locate the data cell containing the value of ETE for Region R10 and Scenario 4. This data cell is in the row for Region R10 and in column (4) contains the ETE value of 5:25.

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Table 71. Time to Clear the Indicated Area of 90 Percent of the Affected Population Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact Entire 2Mile Region, 6Mile Region, and EPZ R01 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 (PAZ 1)

R02 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2)

R03 (PAZ 1, 2, 3, 4, 2:45 3:00 2:45 3:00 2:50 2:50 3:05 2:45 2:55 2:45 6:15 3:45 5)

R04 (PAZ 1, 2, 3, 4, 8:20 9:10 7:30 8:15 6:45 8:05 8:50 7:05 7:45 6:30 11:40 10:25 5, 6, 7, 8, 9, 10, 11, 12) 6Mile Ring and Keyhole to 10 Miles R05 2:55 3:10 2:50 3:05 2:45 2:55 3:10 2:45 3:05 2:45 2:45 2:50 (PAZ 1, 2, 5)

R06 2:55 3:15 2:55 3:10 2:50 2:55 3:10 2:50 3:05 2:50 2:45 2:55 (PAZ 1, 2, 4, 5)

R07 1:35 1:45 1:25 1:40 1:35 1:35 1:40 1:25 1:40 1:40 6:40 2:45 (PAZ 1, 2, 3, 4)

R08 1:40 1:45 1:25 1:35 1:30 1:35 1:40 1:25 1:30 1:35 6:35 2:50 (PAZ 1, 2, 3) 6Mile Ring and Keyhole to 13 Miles R09 4:05 4:25 4:05 4:15 3:40 3:55 4:15 3:45 3:55 3:30 4:35 4:15 (PAZ 1, 2, 5, 9)

R10 (PAZ 1, 2, 4, 5, 5:55 6:10 5:25 5:30 5:05 5:40 6:00 4:55 5:20 4:50 5:35 6:30 8, 9)

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Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact R11 (PAZ 1, 2, 3, 4, 6:05 6:55 5:25 6:10 4:55 6:15 6:25 5:00 5:45 4:55 7:05 7:30 5, 7, 8, 9)

R12 (PAZ 1, 2, 3, 4, 5:35 6:00 4:45 5:20 4:10 5:25 5:55 4:25 4:55 4:05 10:55 7:15 6, 7, 8)

R13 (PAZ 1, 2, 3, 6, 2:35 2:55 2:25 2:35 2:05 2:25 2:35 2:15 2:25 2:00 9:50 3:55 7) 6Mile Ring and Keyhole to 15 Miles R14 (PAZ 1, 2, 3, 4, 6:25 7:00 5:45 6:00 5:10 6:25 6:55 5:30 6:05 5:00 7:05 7:35 5, 7, 8, 9, 11)

R15 (PAZ 1, 2, 3, 4, 7:45 8:20 6:55 7:25 6:00 7:25 8:10 6:30 7:00 5:45 11:15 9:45 6, 7, 8, 10, 11)

R16 (PAZ 1, 2, 3, 6, 5:55 6:20 5:40 6:15 5:00 5:25 6:00 5:10 5:35 4:50 9:40 7:45 7, 10, 11) 6Mile Ring and Keyhole to EPZ Boundary R17 (PAZ 1, 2, 3, 4, 8:00 8:45 7:25 8:00 6:20 7:50 8:35 6:50 7:25 6:10 11:20 10:30 6, 7, 8, 10, 11, 12)

R18 (PAZ 1, 2, 3, 6, 6:20 7:00 6:30 6:40 5:30 6:10 6:45 5:40 6:15 5:20 9:45 8:35 7, 10, 11, 12)

R19 2:45 3:05 2:35 2:50 2:20 2:40 3:00 2:30 2:45 2:20 3:05 3:55 (PAZ 1, 2, 12)

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Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact Site Specific Regions R20 4:40 5:05 3:55 4:30 3:40 4:30 4:55 3:40 4:10 3:40 4:50 6:00 (PAZ 1, 2, 4, 8)

Staged Evacuation 2Mile Ring and Keyhole to 6 Miles R21 1:15 1:15 1:35 1:35 1:45 1:15 1:20 1:45 1:45 1:50 1:50 1:15 (PAZ 1, 2)

Staged Evacuation 6Mile Ring and Keyhole to 10 Miles R22 3:20 3:35 3:20 3:35 3:20 3:20 3:35 3:20 3:35 3:20 3:20 3:20 (PAZ 1, 2, 5)

R23 3:20 3:35 3:25 3:40 3:25 3:20 3:40 3:20 3:35 3:20 3:25 3:20 (PAZ 1, 2, 4, 5)

R24 (PAZ 1, 2, 3, 4, 3:15 3:30 3:15 3:30 3:20 3:20 3:30 3:15 3:30 3:20 5:55 3:30 5)

R25 1:50 1:55 1:50 1:55 2:15 1:55 1:55 1:55 1:55 2:15 6:30 3:00 (1, 2, 3, 4)

R26 1:45 1:55 1:50 1:50 2:10 1:45 1:45 1:50 1:50 2:10 6:55 2:55 (PAZ 1, 2, 3)

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Table 72. Time to Clear the Indicated Area of 100 Percent of the Affected Population Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact Entire 2Mile Region, 6Mile Region, and EPZ R01 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 (PAZ 1)

R02 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2)

R03 (PAZ 1, 2, 3, 4, 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 9:20 5:00 5)

R04 (PAZ 1, 2, 3, 4, 10:15 11:20 10:15 11:35 9:35 10:15 10:50 9:40 10:20 9:10 19:05 13:30 5, 6, 7, 8, 9, 10, 11, 12) 6Mile Ring and Keyhole to 10 Miles R05 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 (PAZ 1, 2, 5)

R06 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 (PAZ 1, 2, 4, 5)

R07 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 9:20 4:40 (PAZ 1, 2, 3, 4)

R08 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 4:40 8:25 4:40 (PAZ 1, 2, 3) 6Mile Ring and Keyhole to 13 Miles R09 5:15 5:45 5:10 5:30 4:45 5:05 5:30 4:50 5:05 4:45 5:35 5:25 (PAZ 1, 2, 5, 9)

R10 (PAZ 1, 2, 4, 5, 8:00 8:25 7:25 7:45 6:45 7:45 8:25 6:50 7:25 6:40 7:35 8:15 8, 9)

Diablo Canyon Power Plant 712 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact R11 (PAZ 1, 2, 3, 4, 8:00 8:40 7:20 7:55 6:50 7:45 8:20 7:00 7:35 6:45 13:20 9:00 5, 7, 8, 9)

R12 (PAZ 1, 2, 3, 4, 7:25 7:50 6:15 6:55 5:35 7:15 7:55 5:55 6:35 5:30 16:35 8:40 6, 7, 8)

R13 (PAZ 1, 2, 3, 6, 4:45 4:45 4:45 4:45 4:45 4:45 4:45 4:45 4:45 4:45 15:55 5:15 7) 6Mile Ring and Keyhole to 15 Miles R14 (PAZ 1, 2, 3, 4, 8:00 8:45 7:15 7:40 6:55 7:55 8:40 7:00 7:30 6:50 12:55 9:15 5, 7, 8, 9, 11)

R15 (PAZ 1, 2, 3, 4, 9:40 10:25 9:50 10:45 8:30 9:35 10:25 8:55 9:30 8:20 17:45 12:45 6, 7, 8, 10, 11)

R16 (PAZ 1, 2, 3, 6, 8:55 10:00 9:00 9:50 7:35 7:55 8:30 8:05 8:30 7:00 16:05 10:10 7, 10, 11) 6Mile Ring and Keyhole to EPZ Boundary R17 (PAZ 1, 2, 3, 4, 10:15 11:00 10:15 11:25 9:10 10:05 10:45 9:35 10:15 9:00 18:30 13:20 6, 7, 8, 10, 11, 12)

R18 (PAZ 1, 2, 3, 6, 9:40 10:30 9:45 10:35 8:20 9:05 9:45 8:35 9:30 7:50 16:25 11:00 7, 10, 11, 12)

R19 4:50 4:50 4:50 4:50 4:50 4:50 4:50 4:50 4:50 4:50 4:50 4:50 (PAZ 1, 2, 12)

Diablo Canyon Power Plant 713 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact Site Specific Regions R20 6:35 7:10 5:20 6:10 5:05 6:25 7:00 5:10 5:55 5:00 6:15 7:45 (PAZ 1, 2, 4, 8)

Staged Evacuation 2Mile Ring and Keyhole to 6 Miles R21 3:30 3:30 3:30 3:30 3:30 3:30 3:30 3:30 3:30 3:30 3:30 3:30 (PAZ 1, 2)

Staged Evacuation 6Mile Ring and Keyhole to 10 Miles R22 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 5)

R23 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 4, 5)

R24 (PAZ 1, 2, 3, 4, 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 8:35 4:35 5)

R25 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 8:25 4:35 (1, 2, 3, 4)

R26 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 8:40 4:35 (PAZ 1, 2, 3)

Diablo Canyon Power Plant 714 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Table 73. Time to Clear 90 Percent of the 2Mile and 6Mile Areas within the Indicated Region Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact Entire 2Mile Region and 6Mile Region R01 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 (PAZ 1)

R02 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2)

R03 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 3, 4, 5)

R05 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 5)

R06 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 4, 5)

R07 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 3, 4)

R08 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 3)

Staged Evacuation 2Mile Ring and Keyhole to 6 Miles R21 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 1:00 (PAZ 1, 2)

Staged Evacuation 6Mile Ring and Keyhole to 10 Miles R22 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 5)

R23 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 4, 5)

R24 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 3, 4, 5)

R25 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (1, 2, 3, 4)

Diablo Canyon Power Plant 715 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact R26 1:10 1:10 1:10 1:10 1:15 1:10 1:10 1:15 1:15 1:20 1:15 1:10 (PAZ 1, 2, 3)

Diablo Canyon Power Plant 716 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Table 74. Time to Clear 100 Percent of the 2Mile and 6Mile Areas within the Indicated Region Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact Entire 2Mile Region and 6Mile Region R01 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 (PAZ 1)

R02 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2)

R03 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 3, 4, 5)

R05 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 5)

R06 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 4, 5)

R07 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 3, 4)

R08 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 3)

Staged Evacuation 2Mile Ring and Keyhole to 6 Miles R21 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 2:00 (PAZ 1, 2)

Staged Evacuation 6Mile Ring and Keyhole to 10 Miles R22 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 5)

R23 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 4, 5)

R24 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 3, 4, 5)

Diablo Canyon Power Plant 717 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Summer Summer Summer Winter Winter Winter Summer Summer Midweek Midweek Midweek Midweek Weekend Midweek Weekend Midweek Weekend Weekend Weekend Scenario: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Midday Midday Evening Midday Midday Evening Evening Midday Region Good Good Good Good Good Good Special Roadway Rain Rain Rain Rain Weather Weather Weather Weather Weather Weather Event Impact R25 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (1, 2, 3, 4)

R26 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 4:35 (PAZ 1, 2, 3)

Diablo Canyon Power Plant 718 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Table 75. Description of Evacuation Regions PAZ Corresponds to Region Description PG&E Scenario 1 2 3 4 5 6 7 8 9 10 11 12 Number:

R01 2Mile Ring X N/A 6Mile Ring R02 (similar to the FEMA 5 X X 1 Base mile ring)

R03 FEMA EPZ X X X X X N/A R04 Full EPZ X X X X X X X X X X X X 10 BEPZ Evacuate 2Mile Radius and Downwind to 6 Miles Wind Direction PAZ Region From: 1 2 3 4 5 6 7 8 9 10 11 12 SE, SSE, S, SSW, SW, WSW, W, WNW, NW, Refer to Region R02 1 Base NNW N, NNE, NE, ENE, E, ESE Refer to Region R01 N/A Evacuate 6Mile Radius and Downwind to 10 miles Wind Direction PAZ Region From: 1 2 3 4 5 6 7 8 9 10 11 12 R05 SSE, S X X X 2 NorthA R06 SSW, SW X X X X N/A WSW Refer to Region R03 N/A R07 W, WNW X X X X N/A R08 NW, NNW X X X 6 SoutheastA N, NNE, NE, ENE, E, ESE, Refer to Region R02 1 Base SE Evacuate 6Mile Radius and Downwind to 13 miles PAZ Region Wind Direction From:

1 2 3 4 5 6 7 8 9 10 11 12 R09 SSE, S X X X X 3 NorthB R10 SSW, SW X X X X X X 5 North & East R11 WSW X X X X X X X X N/A R12 W, WNW X X X X X X X N/A R13 NW, NNW X X X X X 7 Southeast B N, NNE, NE, ENE, E, ESE, Refer to Region R02 1 Base SE Diablo Canyon Power Plant 719 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Table 75. Description of Evacuation Regions Continued Evacuate 6Mile Radius and Downwind to 15 miles Corresponds PAZ to PG&E Region Wind Direction From: Scenario 1 2 3 4 5 6 7 8 9 10 11 12 Number:

SSE, S Refer to Region R09 3 NorthB 5 North &

SSW, SW Refer to Region R10 East R14 WSW X X X X X X X X X N/A R15 W, WNW X X X X X X X X X N/A 8 Southeast R16 NW, NNW X X X X X X X C

N, NNE, NE, ENE, E, ESE, SE Refer to Region R02 1 Base Evacuate 6Mile Radius and Downwind to EPZ Boundary PAZ Region Wind Direction From:

1 2 3 4 5 6 7 8 9 10 11 12 SSE, S Refer to Region R09 3 NorthB 5 North &

SSW, SW Refer to Region R10 East WSW Refer to Region R14 N/A R17 W, WNW X X X X X X X X X X N/A 9 Southeast R18 NW X X X X X X X X D

NNW, N, NNE, NE, ENE, E, R19 X X X N/A ESE, SE N, NNE, NE, ENE, N, ESE, SE Refer to Region R02 1 Base Site Specific Regions PAZ Region Wind Direction From:

1 2 3 4 5 6 7 8 9 10 11 12 R20 W X X X X 4 East (all)

Diablo Canyon Power Plant 720 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Table 76. Description of Staged Evacuation Regions Staged Evacuation 2Mile Radius Evacuates, then Evacuate Downwind to 6 Miles PAZ Region Wind Direction From: 1 2 3 4 5 6 7 8 9 10 11 12 SE, SSE, S, SSW, SW, WSW, W, WNW, X X N/A R21 NW, NNW N, NNE, NE, ENE, E, ESE Refer to Region R01 N/A PAZ(s) Shelterin ShelterinPlace until 90% ETE for R01, then Evacuate Place PAZ(s) Evacuate Staged Evacuation 6Mile Radius Evacuates, then Evacuate Downwind to 10 Miles PAZ Region Wind Direction From: 1 2 3 4 5 6 7 8 9 10 11 12 R22 SSE, S X X X N/A R23 SSW, SW X X X X N/A R24 WSW X X X X X N/A R25 W, WNW X X X X N/A R26 NW X X X N/A NNW, N, NNE, NE, ENE, E, ESE, SE Refer to Region R02 N/A PAZ(s) Shelterin ShelterinPlace until 90% ETE for R02, then Evacuate Place PAZ(s) Evacuate Diablo Canyon Power Plant 721 KLD Engineering, P.C.

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Figure 71. Voluntary Evacuation Methodology Diablo Canyon Power Plant 722 KLD Engineering, P.C.

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Figure 72. Voluntary Evacuation Methodology Including Staged Evacuation Diablo Canyon Power Plant 723 KLD Engineering, P.C.

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Figure 73. DCPP Shadow Region Diablo Canyon Power Plant 724 KLD Engineering, P.C.

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Figure 74. Congestion Patterns at 30 Minutes after the Evacuation Order Diablo Canyon Power Plant 725 KLD Engineering, P.C.

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Figure 75. Congestion Patterns at 1 Hour, 30 Minutes after the Evacuation Order Diablo Canyon Power Plant 726 KLD Engineering, P.C.

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Figure 76. Congestion Patterns at 4 Hours, 30 Minutes after the Evacuation Order Diablo Canyon Power Plant 727 KLD Engineering, P.C.

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Figure 77. Congestion Patterns at 6 Hours, 15 Minutes after the Evacuation Order Diablo Canyon Power Plant 728 KLD Engineering, P.C.

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Figure 78. Congestion Patterns at 6 Hours, 45 Minutes after the Evacuation Order Diablo Canyon Power Plant 729 KLD Engineering, P.C.

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Figure 79. Congestion Patterns at 8 Hours, 10 Minutes after the Evacuation Order Diablo Canyon Power Plant 730 KLD Engineering, P.C.

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Figure 710. Congestion Patterns at 9 Hours, 15 Minutes after the Evacuation Order Diablo Canyon Power Plant 731 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Figure 711. Congestion Patterns at 10 Hours, 15 Minutes after the Evacuation Order Diablo Canyon Power Plant 732 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Evacuation Time Estimates Summer, Midweek, Midday, Good (Scenario 1) 10Mile Region Entire EPZ 90% 100%

140 120 Vehicles Evacuating 100 80 (Thousands) 60 40 20 0

0 60 120 180 240 300 360 420 480 540 600 660 Elapsed Time After Evacuation Recommendation (min)

Figure 712. Evacuation Time Estimates Scenario 1 for Region R04 Evacuation Time Estimates Summer, Midweek, Midday, Rain (Scenario 2) 10Mile Region Entire EPZ 90% 100%

140 120 Vehicles Evacuating 100 80 (Thousands) 60 40 20 0

0 60 120 180 240 300 360 420 480 540 600 660 720 780 Elapsed Time After Evacuation Recommendation (min)

Figure 713. Evacuation Time Estimates Scenario 2 for Region R04 Diablo Canyon Power Plant 733 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Evacuation Time Estimates Summer, Weekend, Midday, Good (Scenario 3) 10Mile Region Entire EPZ 90% 100%

140 120 Vehicles Evacuating 100 80 (Thousands) 60 40 20 0

0 60 120 180 240 300 360 420 480 540 600 660 Elapsed Time After Evacuation Recommendation (min)

Figure 714. Evacuation Time Estimates Scenario 3 for Region R04 Evacuation Time Estimates Summer, Weekend, Midday, Rain (Scenario 4) 10Mile Region Entire EPZ 90% 100%

140 120 Vehicles Evacuating 100 80 (Thousands) 60 40 20 0

0 60 120 180 240 300 360 420 480 540 600 660 Elapsed Time After Evacuation Recommendation (min)

Figure 715. Evacuation Time Estimates Scenario 4 for Region R04 Diablo Canyon Power Plant 734 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Evacuation Time Estimates Summer, Midweek, Weekend, Evening, Good (Scenario 5) 10Mile Region Entire EPZ 90% 100%

140 120 Vehicles Evacuating 100 80 (Thousands) 60 40 20 0

0 60 120 180 240 300 360 420 480 540 600 660 Elapsed Time After Evacuation Recommendation (min)

Figure 716. Evacuation Time Estimates Scenario 5 for Region R04 Evacuation Time Estimates Winter, Midweek, Midday, Good (Scenario 6) 10Mile Region Entire EPZ 90% 100%

140 120 Vehicles Evacuating 100 80 (Thousands) 60 40 20 0

0 60 120 180 240 300 360 420 480 540 600 660 Elapsed Time After Evacuation Recommendation (min)

Figure 717. Evacuation Time Estimates Scenario 6 for Region R04 Diablo Canyon Power Plant 735 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Evacuation Time Estimates Winter, Midweek, Midday, Rain (Scenario 7) 10Mile Region Entire EPZ 90% 100%

140 120 Vehicles Evacuating 100 80 (Thousands) 60 40 20 0

0 60 120 180 240 300 360 420 480 540 600 660 720 Elapsed Time After Evacuation Recommendation (min)

Figure 718. Evacuation Time Estimates Scenario 7 for Region R04 Evacuation Time Estimates Winter, Weekend, Midday, Good (Scenario 8) 10Mile Region Entire EPZ 90% 100%

140 120 Vehicles Evacuating 100 80 (Thousands) 60 40 20 0

0 60 120 180 240 300 360 420 480 540 600 660 Elapsed Time After Evacuation Recommendation (min)

Figure 719. Evacuation Time Estimates Scenario 8 for Region R04 Diablo Canyon Power Plant 736 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Evacuation Time Estimates Winter, Weekend, Midday, Rain (Scenario 9) 10Mile Region Entire EPZ 90% 100%

140 120 Vehicles Evacuating 100 80 (Thousands) 60 40 20 0

0 60 120 180 240 300 360 420 480 540 600 660 Elapsed Time After Evacuation Recommendation (min)

Figure 720. Evacuation Time Estimates Scenario 9 for Region R04 Evacuation Time Estimates Winter, Midweek, Weekend, Evening, Good (Scenario 10) 10Mile Region Entire EPZ 90% 100%

140 120 Vehicles Evacuating 100 80 (Thousands) 60 40 20 0

0 60 120 180 240 300 360 420 480 540 600 660 Elapsed Time After Evacuation Recommendation (min)

Figure 721. Evacuation Time Estimates Scenario 10 for Region R04 Diablo Canyon Power Plant 737 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Evacuation Time Estimates Summer, Midweek, Weekend, Evening, Good, Special Event (Scenario 11) 10Mile Region Entire EPZ 90% 100%

160 140 Vehicles Evacuating 120 100 80 (Thousands) 60 40 20 0

0 120 240 360 480 600 720 840 960 1080 1200 Elapsed Time After Evacuation Recommendation (min)

Figure 722. Evacuation Time Estimates Scenario 11 for Region R04 Evacuation Time Estimates Summer, Midweek, Midday, Good, Roadway Impact (Scenario 12) 10Mile Region Entire EPZ 90% 100%

140 120 Vehicles Evacuating 100 80 (Thousands) 60 40 20 0

0 60 120 180 240 300 360 420 480 540 600 660 720 780 840 900 Elapsed Time After Evacuation Recommendation (min)

Figure 723. Evacuation Time Estimates Scenario 12 for Region R04 Diablo Canyon Power Plant 738 KLD Engineering, P.C.

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8 TRANSITDEPENDENT AND SPECIAL FACILITY EVACUATION TIME ESTIMATES This section details the analyses applied and the results obtained in the form of evacuation time estimates for transit vehicles. The demand for transit service reflects the needs of three population groups: (1) residents with no vehicles available; (2) residents of special facilities such as schools, medical facilities, and correctional facilities (shelterinplace, see Section 8.6); and (3) homebound special needs population.

These transit vehicles mix with the general evacuation traffic that is comprised mostly of passenger cars (pcs). The presence of each transit vehicle in the evacuating traffic stream is represented within the modeling paradigm described in Appendix D as equivalent to two pcs.

This equivalence factor represents the longer size and more sluggish operating characteristics of a transit vehicle, relative to those of a pc.

Transit vehicles must be mobilized in preparation for their respective evacuation missions.

Specifically:

• Bus drivers must be alerted

• They must travel to the bus depot

• They must be briefed there and assigned to a route or facility These activities consume time. Based on discussion with the offsite agencies, it is estimated that school bus mobilization time will average approximately 120 minutes extending from the Evacuation Order, to the time when buses first arrive at the facility to be evacuated.

During this mobilization period, other mobilization activities are taking place. One of these is the action taken by parents, neighbors, relatives and friends to pick up children from school prior to the arrival of buses, so that they may join their families. Virtually all studies of evacuations have concluded that this bonding process of uniting families is universally prevalent during emergencies and should be anticipated in the planning process. The current public information disseminated to residents of the DCPP EPZ indicates that schoolchildren will be evacuated to school relocation centers at emergency classification levels of Alert or higher, and that parents should pick schoolchildren up at school relocation centers. As discussed in Section 2, this study assumes a fast breaking general emergency. Therefore, schools and special facilities receive initial notification at the same time as the rest of the EPZ and children are evacuated to school relocation centers. Picking up children at school could add to traffic congestion at the schools, delaying the departure of the buses evacuating schoolchildren, which may have to return in a subsequent wave to the EPZ to evacuate the transitdependent population. This report provides estimates of buses under the assumption that no children will be picked up by their parents (in accordance with NUREG/CR7002), to present an upper bound estimate of buses required. It is assumed that children at daycare centers are picked up by parents or guardians and that the time to perform this activity is included in the trip generation times discussed in Section 5.

Diablo Canyon Power Plant 81 KLD Engineering, P.C.

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The procedure for computing transitdependent ETE is to:

• Estimate demand for transit service

• Estimate time to perform all transit functions

• Estimate route travel times to the EPZ boundary and to the school relocation centers 8.1 Transit Dependent People Demand Estimate The telephone survey (see Appendix F) results were used to estimate the portion of the population requiring transit service:

• Those persons in households that do not have a vehicle available.

• Those persons in households that do have vehicle(s) that would not be available at the time the evacuation is advised.

In the latter group, the vehicle(s) may be used by a commuter(s) who does not return (or is not expected to return) home to evacuate the household.

Table 81 presents estimates of transitdependent people. Note:

• Estimates of persons requiring transit vehicles include schoolchildren. For those evacuation scenarios where children are at school when an evacuation is ordered, separate transportation is provided for the schoolchildren. The actual need for transit vehicles by residents is thereby less than the given estimates. However, estimates of transit vehicles are not reduced when schools are in session.

• It is reasonable and appropriate to consider that many transitdependent persons will evacuate by ridesharing with neighbors, friends or family. For example, nearly 80 percent of those who evacuated from Mississauga, Ontario who did not use their own cars, shared a ride with neighbors or friends. Other documents report that approximately 70 percent of transit dependent persons were evacuated via ride sharing. We will adopt a conservative estimate that 50 percent of transit dependent persons will ride share, in accordance with NUREG/CR7002.

• The 2010 EPZ population used for the transitdependent population estimates does not include the 6,959 California Polytechnic State University students residing on campus nor the 6,835 inmates that were captured in the Census at the California Mens Colony correctional facility and the San Luis Obispo County Jail.

• The EPZ homeless population is transitdependent.

The estimated number of bus trips needed to service transitdependent persons is based on an estimate of average bus occupancy of 30 persons at the conclusion of the bus run. Transit vehicle seating capacities typically equal or exceed 60 children on average (roughly equivalent to 40 adults). If transit vehicle evacuees are two thirds adults and one third children, then the number of adult seats taken by 30 persons is 20 + (2/3 x10) = 27. On this basis, the average load factor anticipated is (27/40) x 100 = 68 percent. Thus, if the actual demand for service exceeds the estimates of Table 81 by 50 percent, the demand for service can still be accommodated by the available bus seating capacity.

Diablo Canyon Power Plant 82 KLD Engineering, P.C.

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2 20 10 40 1.5 1.00 3

Table 81 indicates that transportation must be provided for 3,402 people. Therefore, a total of 114 bus runs are required to transport this population to reception centers.

To illustrate this estimation procedure, we calculate the number of persons, P, requiring public transit or rideshare, and the number of buses, B, required for the DCPP EPZ:

Where, A = Percent of households with commuters C = Percent of households who will not await the return of a commuter 57,952 0.04 1.24 0.30 1.59 1 0.50 0.56 0.45 2.52 2 0.50 0.56 57,952 0.117 6,803 0.5 30 114 These calculations are explained as follows:

• All members (1.24 avg.) of households (HH) with no vehicles (4%) will evacuate by public transit or rideshare. The term 57,952 (number of households) x 0.04 x 1.24, accounts for these people.

• The members of HH with 1 vehicle away (30%), who are at home, equal (1.591). The number of HH where the commuter will not return home is equal to (57,952 x 0.30 x 0.59 x 0.50 x 0.56), as 50% of EPZ households have a commuter, 56% of which would not return home in the event of an emergency. The number of persons who will evacuate by public transit or rideshare is equal to the product of these two terms.

• The members of HH with 2 vehicles that are away (45%), who are at home, equal (2.52 - 2). The number of HH where neither commuter will return home is equal to 57,952 x 0.45 x 0.52 x (0.50 x 0.56)2. The number of persons who will evacuate by public transit or rideshare is equal to the product of these two terms (the last term is squared to represent the probability that neither commuter will return).

• Households with 3 or more vehicles are assumed to have no need for transit vehicles.

• The total number of persons requiring public transit is the sum of such people in HH with no vehicles, or with 1 or 2 vehicles that are away from home.

The estimate of transitdependent population in Table 81 far exceeds the number of registered transitdependent persons in the EPZ as provided by San Luis Obispo County (discussed below Diablo Canyon Power Plant 83 KLD Engineering, P.C.

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in Section 8.5). This is consistent with the findings of NUREG/CR6953, Volume 2, in that a large majority of the transitdependent population within the EPZs of U.S. nuclear plants does not register with their local emergency response agency. Since there is no reliable data on the number of homeless people within the EPZ, the homeless population is assumed to be included in the estimate of transitdependent people in Table 81 due to the conservative nature of the calculation.

8.2 School Population - Transit Demand Table 82 presents the school population and transportation requirements for the direct evacuation of all schools within the EPZ for the 20112012 school year. This information was provided by San Luis Obispo County. The column in Table 82 entitled Buses Required specifies the number of buses required for each school under the following set of assumptions and estimates:

• No students will be picked up by their parents prior to the arrival of the buses.

• While many high school students commute to school using private automobiles (as discussed in Section 2.4 of NUREG/CR7002), the estimate of buses required for school evacuation do not consider the use of these private vehicles, since the intent of schools is to evacuate all students by bus.

• Bus capacity, expressed in students per bus, is set to 70 for primary schools and 50 for middle and high schools.

• Those staff members who do not accompany the students will evacuate in their private vehicles.

• No allowance is made for student absenteeism, typically 3 percent daily.

It is recommended that San Luis Obispo County introduce procedures whereby the schools are contacted prior to the dispatch of buses from the depot, to ascertain the current estimate of students to be evacuated. In this way, the number of buses dispatched to the schools will reflect the actual number needed. Those buses originally allocated to evacuate schoolchildren that are not needed due to children being picked up by their parents, can be gainfully assigned to service other facilities or those persons who do not have access to private vehicles or to ride sharing.

Table 83 presents a list of the school relocation centers for each school in the EPZ. Students will be transported to these centers where they will be subsequently retrieved by their respective families.

8.3 Medical Facility Demand Table 84 presents the census of medical facilities in the EPZ. As of April 2012, 1,724 people have been identified as living in, or being treated in, these facilities. The current census for each facility was provided by San Luis Obispo County. The exact number of ambulatory, wheelchair bound, and bedridden patients was unavailable. The distribution of each for homebound special needs (77%, 21% and 2% for ambulatory, wheelchair bound and bedridden, respectively Diablo Canyon Power Plant 84 KLD Engineering, P.C.

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- see Section 8.5) was applied to the current census numbers to determine the breakdown of patients at these medical facilities.

The transportation requirements for the medical facility population are also presented in Table

84. The number of ambulance runs is determined by assuming that 2 patients can be accommodated per ambulance trip; the number of wheelchair bus runs assumes 15 wheelchairs per trip and the number of bus runs estimated assumes 30 ambulatory patients per trip.

8.4 Evacuation Time Estimates for Transit Dependent People EPZ bus resources are assigned to evacuating schoolchildren (if school is in session at the time of the Evacuation Order) as the first priority in the event of an emergency. In the event that the allocation of buses dispatched from the depots to the various facilities and to the bus routes is somewhat inefficient, or if there is a shortfall of available drivers, then there may be a need for some buses to return to the EPZ from the reception center or school relocation center after completing their first evacuation trip, to complete a second wave of providing transport service to evacuees. For this reason, the ETE for the transitdependent population will be calculated for both a one wave transit evacuation and for two waves. Of course, if the impacted Evacuation Region is other than R04 (the entire EPZ), then there will likely be ample transit resources relative to demand in the impacted Region and this discussion of a second wave would likely not apply.

When school evacuation needs are satisfied, subsequent assignments of buses to service the transitdependent should be sensitive to their mobilization time. Clearly, the buses should be dispatched after people have completed their mobilization activities and are in a position to board the buses when they arrive at the pickup points.

Evacuation Time Estimates for transit trips were developed using both good weather and adverse weather conditions. Figure 81 presents the chronology of events relevant to transit operations. The elapsed time for each activity will now be discussed with reference to Figure 81.

Activity: Mobilize Drivers (ABC)

Mobilization is the elapsed time from the Evacuation Order until the time the buses arrive at the facility to be evacuated. Based on discussions with San Luis Obispo County, it is estimated that for a rapidly escalating radiological emergency with no observable indication before the fact, school bus drivers would likely require 120 minutes to be contacted, to travel to the depot, be briefed, and to travel to the transitdependent facilities. Mobilization time is 10 minutes slower in rain to account for slower travel speeds and reduced roadway capacity.

Activity: Board Passengers (CD)

Based on discussions with SLOCOES, a loading time of 15 minutes (20 minutes for rain) for school buses is used.

For multiple stops along a pickup route (transitdependent bus routes) estimation of travel Diablo Canyon Power Plant 85 KLD Engineering, P.C.

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time must allow for the delay associated with stopping and starting at each pickup point. The time, t, required for a bus to decelerate at a rate, a, expressed in ft/sec/sec, from a speed, v, expressed in ft/sec, to a stop, is t = v/a. Assuming the same acceleration rate and final speed following the stop yields a total time, T, to service boarding passengers:

2 ,

Where B = Dwell time to service passengers. The total distance, s in feet, travelled during the deceleration and acceleration activities is: s = v2/a. If the bus had not stopped to service passengers, but had continued to travel at speed, v, then its travel time over the distance, s, would be: s/v = v/a. Then the total delay (i.e. pickup time, P) to service passengers is:

Assigning reasonable estimates:

• B = 50 seconds: a generous value for a single passenger, carrying personal items, to board per stop

• v = 25 mph = 37 ft/sec

• a = 4 ft/sec/sec, a moderate average rate Then, P 1 minute per stop. Allowing 30 minutes pickup time per bus run implies 30 stops per run, for good weather. It is assumed that bus acceleration and speed will be less in rain; total loading time is 40 minutes per bus in rain.

Activity: Travel to EPZ Boundary (DE)

School Evacuation Transportation resources available were provided by SLOCOES and are summarized in Table

85. Also included in the table are the number of buses needed to evacuate schools, medical facilities, transitdependent population, homebound special needs (discussed below in Section 8.5) and correctional facilities (discussed below in Section 8.6). These numbers indicate there are not sufficient resources available to evacuate everyone in a single wave, assuming all facilities evacuate at once. Multiple waves of transportation service will be required to evacuate schools, medical facilities, transitdependent people, and homebound special needs people.

The buses servicing the schools are ready to begin their evacuation trips at 135 minutes after the Evacuation Order - 120 minutes mobilization time plus 15 minutes loading time - in good weather. The UNITES software discussed in Section 1.3 was used to define bus routes along the most likely path from a school being evacuated to the EPZ boundary, traveling toward the appropriate school relocation center. This is done in UNITES by interactively selecting the series of nodes from the school to the EPZ boundary. Each bus route is given an identification number and is written to the DYNEV II input stream. DYNEV computes the route length and outputs the average speed for each 5 minute interval, for each bus route. The specified bus routes are documented in Table 86 (refer to the maps of the linknode analysis network in Appendix K for node locations). Data provided by DYNEV during the appropriate timeframe depending on the Diablo Canyon Power Plant 86 KLD Engineering, P.C.

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mobilization and loading times (i.e., 135 minutes after the Evacuation Order for good weather) were used to compute the average speed for each route, as follows:

. 60 .

. . 1 .

60 .

1 .

The average speed computed (using this methodology) for the buses servicing each of the schools in the EPZ is shown in Table 87 and Table 88 for school evacuation, and in Table 810 and Table 811 for the transit vehicles evacuating transitdependent persons, which are discussed later. The travel time to the EPZ boundary was computed for each bus using the computed average speed and the distance to the EPZ boundary along the most likely route out of the EPZ. The travel time from the EPZ boundary to the school relocation center was computed assuming an average speed of 55 mph and 50 mph for good weather and rain, respectively.

Table 87 (good weather) and Table 88 (rain) present the following evacuation time estimates (rounded up to the nearest 5 minutes) for schools in the EPZ: (1) The elapsed time from the Evacuation Order until the bus exits the EPZ; and (2) The elapsed time until the bus reaches the school relocation center. The evacuation time out of the EPZ can be computed as the sum of times associated with Activities ABC, CD, and DE (For example: 120 min. + 15 + 61 =

3:20 for Arroyo Grande High School, with good weather). The evacuation time to the school relocation center is determined by adding the time associated with Activity EF (discussed below), to this EPZ evacuation time.

As discussed above, there are not sufficient buses or drivers available to evacuate all schools in the EPZ in a single wave. One way to address this issue is to evacuate those schools within the 10mile radius (PAZs 1 through 5) first, and then evacuate those facilities beyond 10 miles as resources become available. In the unlikely event that all schools are evacuated at once, a two wave evacuation would be needed. Discussion of the second wave ETE values is provided later in this section.

Evacuation of TransitDependent Population The buses dispatched from the depots to service the transitdependent evacuees will be scheduled so that they arrive at their respective routes after their passengers have completed their mobilization. As shown in Figure 54 (Residents with no Commuters), 85 percent of the evacuees will complete their mobilization when the buses will begin their routes, approximately Diablo Canyon Power Plant 87 KLD Engineering, P.C.

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90 minutes after the Evacuation Order. The distribution of transitdependent buses was based on population within each PAZ with carless collection points. Each route was assigned 1 to 3 groups of buses depending on the number of buses needed. The start of service for these groups is separated by 20 minute headways, as shown in Table 810 and Table 811. The use of bus headways ensures that those people who take longer to mobilize will be picked up.

Mobilization time is 10 minutes longer in rain to account for slower travel speeds and reduced roadway capacity.

Those buses servicing the transitdependent evacuees will first travel along their collection point routes, and then proceed out of the EPZ. Transitdependent carless collection points are provided in the San Luis Obispo County Nuclear Power Plant Emergency Response Plan. The current county emergency plans do not define bus routes to service these collection points. The 4 bus routes shown graphically in Figure 82 and described in Table 89 were designed as part of this study to service the major routes through each PAZ and to service the predefined carless collection points. It is assumed that residents and the homeless population will walk to and congregate at these predesignated collection points, and that they can arrive at the stops within the 90 minute bus mobilization time (good weather). Pickup times in Table 810 and Table 811 include times for flag stops wherein residents walk to the nearest major route and flag down passing buses as well as stops at the predesignated collection points.

As previously discussed, a pickup time of 30 minutes (good weather) is estimated for 30 individual stops to pick up passengers, with an average of one minute of delay associated with each stop. A longer pickup time of 40 minutes is used for rain.

The travel distance along the respective pickup routes within the EPZ is estimated using the UNITES software. Bus travel times within the EPZ are computed using average speeds computed by DYNEV, using the aforementioned methodology that was used for school evacuation.

Table 810 and Table 811 present the transitdependent population evacuation time estimates for each bus route calculated using the above procedures for good weather and rain, respectively.

For example, the ETE for the first group of buses on the bus route servicing PAZs 5 and 9 (route number 29) is computed as 90 + 86 + 30 = 3:30 for good weather (rounded up to nearest 5 minutes). Here, 86 minutes is the time to travel 16 miles at the average speed output by the model for this route starting at 90 minutes. The ETE for a second wave (discussed below) is presented in the event there is a shortfall of available buses or bus drivers, as previously discussed.

Activity: Travel to School Relocation Centers or Reception Centers (EF)

The distances from the EPZ boundary to the school relocation centers and reception centers are measured using GIS software along the most likely route from the EPZ exit point to the reception center or relocation center. The reception and school relocation centers are mapped in Figure 101. For a onewave evacuation, this travel time outside the EPZ does not contribute to the ETE. For a twowave evacuation, the ETE for buses must be considered separately, since Diablo Canyon Power Plant 88 KLD Engineering, P.C.

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it could exceed the ETE for the general public. Assumed bus speeds of 55 mph and 50 mph for good weather and rain, respectively, will be applied for this activity for buses servicing the transitdependent population.

Activity: Passengers Leave Bus (FG)

A bus can empty within 5 minutes. The driver takes a 10 minute break.

Activity: Bus Returns to Route for Second Wave Evacuation (GC)

The buses assigned to return to the EPZ to perform a second wave evacuation of schoolchildren and transitdependent evacuees will be those that have already evacuated schools closer to DCPP and transitdependent people who mobilized more quickly. The first wave of transitdependent people depart the bus, and the bus then returns to the EPZ, travels to the start of its route and proceeds to pick up more transitdependent evacuees along the route. The travel time back to the EPZ is equal to the travel time to the reception center.

The secondwave ETE for the first group of buses on the bus route servicing PAZs 5 and 9 (route number 29) is computed as follows for good weather:

• Bus arrives at reception center at 4:09 in good weather (3:30 to exit EPZ + 39 minute travel time to reception center).

• Bus discharges passengers (5 minutes) and driver takes a 10minute rest: 15 minutes.

• Bus returns to EPZ and completes second route: 39 minutes (equal to travel time to reception center) + 18 minutes (16 miles @ 55 mph) + 87 minutes (16 miles @ 11.06 mph) = 144 minutes

• Bus completes pickups along route: 30 minutes.

• Bus exits EPZ at time 3:30 + 0:39 + 0:15 + 2:24 + 0:30 = 7:20 (rounded to nearest 5 minutes) after the Evacuation Order.

The ETE for the completion of the second wave for all transitdependent bus routes are provided in Table 810 and Table 811. The average ETE for a twowave evacuation of transit dependent people exceeds the ETE for the general population for an evacuation of the entire EPZ at the 90th percentile.

General population reception centers are considered to be congregate care centers. School relocation centers are not congregate care centers. Parents are advised to pick up schoolchildren at school relocation centers. Those very few students who are not picked up would be transported to reception centers/congregate care centers once all schools have been evacuated. Note that school relocation centers are already outside of the EPZ and this analysis only focuses on the ETE to leave the EPZ.

Due to the large number of schools in the EPZ, secondwave ETE were not computed for each school. Rather, the following representative ETE is provided to estimate the additional time needed for a second wave evacuation. Times and distances are based on schoolwide averages:

• School buses arrive at the school relocation centers at 4:11 (3:52 to exit the EPZ + 19 minute travel time to the relocation center).

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• Bus discharges passengers (5 minutes) and driver takes a 10minute rest: 15 minutes.

• Bus returns to EPZ and completes second route: 19 minutes (equal to travel time to school relocation center for good weather) + 70 minutes (7.7 miles, average distance to EPZ boundary from Table 87 @ 6.7 mph, average speed from Table 87) = 89 minutes.

• Loading Time: 15 minutes.

• Bus exits EPZ at time 4:11 + 0:15 + 1:29 + 0:15 = 6:10 (rounded to nearest 5 minutes) after the Evacuation Order.

Given the average single wave ETE for schools is 3:52, a second wave evacuation would require an additional 2 hours2.314815e-5 days <br />5.555556e-4 hours <br />3.306878e-6 weeks <br />7.61e-7 months <br /> and 18 minutes, on average for good weather.

The following representative ETE is provided to estimate the additional time needed for a second wave evacuation of schoolchildren in adverse weather. Times and distances are based on schoolwide averages:

• School buses arrive at the school relocation centers at 4:33 (4:12 to exit the EPZ + 21 minute travel time to the relocation center).

• Bus discharges passengers (5 minutes) and driver takes a 10minute rest: 15 minutes.

• Bus returns to EPZ and completes second route: 21 minutes (equal to travel time to school relocation center for good weather) + 72 minutes (7.7 miles, average distance to EPZ boundary from Table 88 @ 6.4 mph average speed from Table 88) = 93 minutes.

• Loading Time: 15 minutes.

• Bus exits EPZ at time 4:33 + 0:15 + 1:33 + 0:15 = 6:35 (rounded to nearest 5 minutes) after the Evacuation Order.

Given the average single wave ETE for schools is 4:12, a second wave evacuation would require an additional 2 hours2.314815e-5 days <br />5.555556e-4 hours <br />3.306878e-6 weeks <br />7.61e-7 months <br /> and 23 minutes, on average for adverse weather.

Evacuation of Medical Facilities The evacuation of these facilities is similar to those for school evacuation except:

• Buses are assigned on the basis of 30 patients to allow for staff to accompany the patients. Wheelchair buses can accommodate 15 patients. Ambulances can accommodate 2 patients.

• Loading times of 1 minute, 5 minutes, and 15 minutes per patient are assumed for ambulatory, wheelchairbound, and bedridden patients, respectively.

Table 84 indicates that 98 bus runs, 83 wheelchair bus runs and 17 ambulance runs are needed to service all of the special facilities in the EPZ. According to Table 85, the county and local agencies can collectively provide 397 buses with a capacity of 410 wheelchairs, and 16 ambulances. Thus, there are not enough resources to evacuate the people from the medical facilities in a single wave; a multiwave evacuation is needed for to evacuate these people.

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As is done for the transitdependent bus routes, it is estimated that mobilization time averages 90 minutes (10 minutes longer for rain). Specially trained medical support staff (working their regular shift) will be on site to assist in the evacuation of patients. Additional staff (if needed) could be mobilized over this same 90 minute timeframe.

Table 812 and Table 813 summarize the ETE for medical facilities based on location within the EPZ for good weather, and rain. Based on the locations of the medical facilities in Figure E5 through E8, it is estimated that buses will have to travel 5 miles, on average, to leave the EPZ.

Average speeds output by the model, capped at 55 mph (50 mph for rain), are used to compute travel time to the EPZ boundary. The ETE is the sum of the mobilization time, total passenger loading time, and travel time out of the EPZ. Concurrent loading on multiple buses, wheelchair buses/vans, and ambulances at capacity is assumed, such that the maximum loading times for buses, wheelchair buses ambulance are 30, 75 and 30 minutes. All ETE are rounded up to the nearest 5 minutes. For example, the calculation of ETE for the residents at a facility in PAZ 10 during good weather is:

ETE (ambulatory): 90 + 30 x 1 + 136 = 256 min. or 4:20 rounded up to the nearest 5 minutes.

ETE (wheelchairbound): 90 + 15 x 5 + 158 = 323 min. or 5:25 rounded up to the nearest 5 minutes.

ETE (bedridden): 90 + 2 x 15 + 136 = 256 min. or 4:20 rounded up to the nearest 5 minutes.

If a secondwave is needed, assume unloading time is equal to loading time, add 10 minutes for driver rest, assume 45 minutes to return to the EPZ (medical facilities destinations will vary based on situation), add time to load passengers, add time to travel to the next facility to be evacuated (assumed 3 miles away) and load passengers until at capacity and compute the travel time based on a travel distance of 5 miles and the average speed output by the DYNEVII model:

Secondwave ETE (for PAZ 10 for illustrative purposes):

Ambulatory: 4:20 (first wave) + 30 x 1 + 10 + 45 + 15 x 1 + 29 (3 miles @ 6.21 mph) + 15 x 1 + 48 (5 miles @ 6.24 mph) = 7:35 Wheelchair Bound: 5:25 (first wave) + 15 x 5 + 10 + 45 + 8 x 5 + 28 (3 mph @ 6.4 mph) + 7 x 5 +

45 (5 miles @ 6.61 mph) = 9:55 Bedridden: 4:20 (first wave) + 15 x 2 + 10 + 45 + 15 x 1 + 29 (3 miles @ 6.21 mph) + 15 x 1 + 48 (5 miles @ 6.24 mph) = 7:35 A second wave evacuation would require an additional 3 hours3.472222e-5 days <br />8.333333e-4 hours <br />4.960317e-6 weeks <br />1.1415e-6 months <br /> and 15 minutes, on average for ambulatory and bedridden patients in good weather, and an additional 4 hours4.62963e-5 days <br />0.00111 hours <br />6.613757e-6 weeks <br />1.522e-6 months <br /> and 30 minutes for wheelchairbound patients.

8.5 Special Needs Population SLOCOES has a combined registration for transitdependent and homebound special needs persons. Based on data provided, there are 553 homebound special needs people within the Diablo Canyon Power Plant 811 KLD Engineering, P.C.

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EPZ who require transportation assistance to evacuate. There are 426 ambulatory persons, 117 wheelchairbound persons and 10 bedridden persons.

ETE for Homebound Special Needs Persons Table 814 summarizes the ETE for homebound special needs people. The table is categorized by type of vehicle required and then broken down by weather condition. The table takes into consideration the deployment of multiple vehicles to reduce the number of stops per vehicle.

It is conservatively assumed that ambulatory and wheelchair bound special needs households are spaced 3 miles apart and bedridden households are spaced 5 miles apart. Due to the pronounced traffic congestion in the EPZ, van and bus speeds approximate 20 mph between households and ambulance speeds approximate 30 mph in good weather (10% slower in rain).

Mobilization times of 90 minutes were used (100 minutes for rain). The last HH is assumed to be 5 miles from the EPZ boundary, and the networkwide average speed, capped at 55 mph (50 mph for rain), after the last pickup is used to compute travel time. ETE is computed by summing mobilization time, loading time at first household, travel to subsequent households, loading time at subsequent households, and travel time to EPZ boundary. All ETE are rounded to the nearest 5 minutes. Loading times of 5 minutes, 5 minutes, and 15 minutes are assumed for ambulatory patients, wheelchair bound patients, and bedridden patients, respectively.

For example, assuming no more than one special needs person per HH implies that 426 ambulatory households need to be serviced. While only 15 buses are needed from a capacity perspective, if 30 buses are deployed to service these special needs HH, then each would require about 15 stops. The following outlines the ETE calculations:

1. Assume 30 buses are deployed, each with about 15 stops, to service a total of 426 HH.

2. The ETE for good weather is calculated as follows:

a. Buses arrive at the first pickup location: 90 minutes

b. Load HH members at first pickup: 5 minutes

c. Travel to subsequent pickup locations: 14 @ 8 minutes = 126 minutes

d. Load HH members at subsequent pickup locations: 14 @ 5 minutes = 70 minutes

e. Travel to EPZ boundary: 48 minutes (5 miles at 6.2 mph).

ETE: 90 + 5 + 126 + 70 + 38 = 7:35 rounded to the nearest 5 minutes The following outlines the ETE calculations for good weather if a second wave (assuming speed between houses is 20 mph for buses) is needed:

a. Unload patients at reception center: 75 minutes.

b. Driver takes 10 minute rest: 10 minutes.

c. Travel time back to EPZ: 8 minutes (5 miles @ 40 mph - traveling in the opposite direction of traffic congestion)

d. Loading time at first household: 5 minutes

e. Bus travels to subsequent stops: 14 households each 3 miles apart @ 20 mph = 126 minutes

f. Loading time at subsequent households: 14 stops @ 5 minutes = 70 minutes Diablo Canyon Power Plant 812 KLD Engineering, P.C.

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g. Travel time to EPZ boundary at 12:30: 5 miles @ 55 mph = 6 minutes ETE: 7:35 + 75 + 10 + 8 + 126 + 70 + 6 = 12:35 rounded to the nearest 5 minutes 8.6 Correctional Facilities As detailed in Table E5, there are two correctional facilities in the EPZ - San Luis Obispo County Jail and California Mens Colony. The total inmate population at these facilities is 7,085 people.

According to San Luis Obispo County emergency management personnel, the inmates would shelter in place if an evacuation were ordered. Thus, ETE are not computed for these facilities.

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(Subsequent Wave)

A B C D E F G Time Event A Evacuation Order B Bus Dispatched from Depot C Bus Arrives at Facility/Pickup Route D Bus Departs for Reception Center E Bus Exits Region F Bus Arrives at Reception Center/School Relocation Center G Bus Available for Second Wave Evacuation Service Activity AB Driver Mobilization BC Travel to Facility or to Pickup Route CD Passengers Board the Bus DE Bus Travels Towards Region Boundary EF Bus Travels Towards Reception Center/School Relocation Center Outside the EPZ FG Passengers Leave Bus; Driver Takes a Break Figure 81. Chronology of Transit Evacuation Operations Diablo Canyon Power Plant 814 KLD Engineering, P.C.

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Figure 82. TransitDependent Bus Routes Diablo Canyon Power Plant 815 KLD Engineering, P.C.

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Table 81. TransitDependent Population Estimates Survey Average Survey Percent HH Size Survey Percent HH Survey Percent HH Total People Population with Indicated No. Estimated with Indicated No. of Percent HH with Non People Estimated Requiring Requiring 2010 EPZ of Vehicles No. of Vehicles with Returning Requiring Ridesharing Public Public Population 0 1 2 Households 0 1 2 Commuters Commuters Transport Percentage Transit Transit 133,290 1.24 1.59 2.52 57,952 4% 30% 45% 50% 56% 6,803 50% 3,402 2.6%

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Table 82. School Population Demand Estimates Buses PAZ School Name Enrollment Required 3 BellevueSanta Fe Charter School 146 3 5 Baywood Elementary School 455 7 5 Heartland Christian Academy 29 1 5 Los Osos Middle School 369 8 5 Manzanita School 24 1 5 Monarch Grove Elementary School 320 5 5 Sonshine Preschool, Kindergarten, and Afterschool 37 1 5 Sunnyside Elementary School 302 5 6 Judkins Middle School 529 11 6 Shell Beach Elementary School 405 6 8 Bishop Peak Elementary School 320 5 8 C. L. Smith Elementary School 410 6 8 California Polytechnic State University1 18,762 58 8 Charles E. Teach Elementary School 151 3 8 Christian Day School 45 1 8 Discovery House Montessori 16 1 8 Grizzly Challenge Charter School 225 5 8 Hawthorne Elementary School 345 5 8 Juvenile Court Community School 35 1 8 Laguna Middle School 678 14 8 Laureate Private School 169 3 8 Laurus College2 354 8 Liberty Christian School 13 1 8 Los Ranchos Elementary School 452 7 8 Mission College Prep 290 6 8 Montessori Children's School 94 2 8 Old Mission School 299 6 8 Olive Grove Charter School 75 2 8 Pacheco Elementary School 505 8 8 Pacific Beach High School 71 2 8 San Luis Classical Academy 125 3 8 San Luis Community School 50 1 1

Buses required reflects the number of buses required to transport the transitdependent on campus students that would not rideshare with a friend or neighbor.

2 These higher education facilities do not provide housing for their students. For this reason, it is assumed that students drive themselves to these facilities and would evacuate using their own personal vehicles.

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Buses PAZ School Name Enrollment Required 8 San Luis Obispo Christian School 46 1 8 San Luis Obispo High School 1,447 29 8 Sinsheimer Elementary School 380 6 8 The Pinehurst Academy 6 1 8 University of La Verne Central2 1,896 9 Cayucos Elementary School 220 4 9 Del Mar Elementary School 465 7 9 Loma Vista Community School 90 2 9 Morro Bay High School 848 17 9 Rancho El Chorro Environmental Education School 160 4 10 Arroyo Grande High School 2,174 44 10 Arroyo Grande Montessori 18 1 10 Coastal Christian High School 182 4 10 Cuesta College2 10,920 10 Dandy Lion Montessori School 50 1 10 Fairgrove Elementary School 462 7 10 Grover Beach Elementary School 506 8 10 Grover Heights Elementary School 439 7 10 Harloe Elementary School 632 10 10 Lighthouse Christian School 35 1 10 Lopez Continuation High School 190 4 10 North Oceano Elementary School 346 5 10 Ocean View Elementary School 558 8 10 Oceano Elementary School 465 7 10 Paulding Middle School 656 14 10 Peace Christian School 60 1 10 Royal Oaks Christian School 125 2 10 Saint Patrick's School 275 6 10 Valley View Adventist Academy 66 2 11 Branch Elementary School 304 5 12 Lopez High School 137 3 12 Mesa Middle School 525 11 12 Mesa View Community School 80 2 TOTAL: 50,863 412 Diablo Canyon Power Plant 818 KLD Engineering, P.C.

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Table 83. School Relocation Centers School School Relocation Center Baywood Elementary School Bishop Peak Elementary School C L Smith Elementary School California Polytechnic State University Charles E. Teach Elementary School Christian Day School Del Mar Elementary School Discovery House Montessori Grizzly Challenge Charter School Hawthorne Elementary School Heartland Christian Academy Juvenile Court Community School Laguna Middle School Laureate Private School Laurus College Liberty Christian School Loma Vista Community School Los Osos Middle School Los Ranchos Elementary School Paso Robles Event Center (MidState Fairgrounds)

Manzanita School Mission College Prep Monarch Grove Elementary School Montessori Children's School Morro Bay High School Old Mission School Olive Grove Charter School Pacheco Elementary School Pacific Beach High School Rancho El Chorro Environmental Education School San Luis Classical Academy San Luis Community School San Luis Obispo Christian School San Luis Obispo High School Sinsheimer Elementary School Sunnyside Elementary School Sonshine Preschool , Kindergarten, and Afterschool Diablo Canyon Power Plant 819 KLD Engineering, P.C.

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School School Relocation Center The Pinehurst Academy Paso Robles Event Center (MidState Fairgrounds)

University of La Verne Central Cayucos Elementary School Santa Lucia Middle School Arroyo Grande High School Arroyo Grande Montessori BellevueSanta Fe Charter School Branch Elementary School Coastal Christian High School Cuesta College Dandy Lion Montessori School Fairgrove Elementary School Grover Beach Elementary School Grover Heights Elementary School Harloe Elementary School Judkins Middle School Lighthouse Christian School Nipomo Elementary School Lopez Continuation High School Lopez High School Mesa View Community School Mesa Middle School North Oceano Elementary School Ocean View Elementary School Oceano Elementary School Paulding Middle School Peace Christian School Royal Oaks Christian School Saint Patrick's School Shell Beach Elementary School Valley View Adventist Academy Diablo Canyon Power Plant 820 KLD Engineering, P.C.

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Table 84. Special Facility Transit Demand Wheel Wheel chair Current Ambu chair Bed Bus Bus PAZ Facility Name Municipality Census latory Bound ridden Runs Runs Ambulance SAN LUIS OBISPO COUNTY MEDICAL FACILITIES BaywoodLos 6 5 1 0 1 1 0 5 Bay Osos RCFE I Osos 5 Bay Osos RCFE II Los Osos 6 5 1 0 1 1 0 5 Bay Osos RCFE III Los Osos 6 5 1 0 1 1 0 5 Baywood Manor Residential Care Los Osos 6 5 1 0 1 1 0 5 Baywood Manor Residential Care II Los Osos 6 5 1 0 1 1 0 5 Caluya's Residential Care Los Osos 4 3 1 0 1 1 0 5 Caluya's Residential Care II Los Osos 4 3 1 0 1 1 0 5 JAJ Residential Care Los Osos 6 5 1 0 1 1 0 5 JAJ Residential Care II Los Osos 6 5 1 0 1 1 0 5 Los Osos Residential Care Los Osos 6 5 1 0 1 1 0 5 Los Osos Residential Care II Los Osos 6 5 1 0 1 1 0 5 M&L South Bay MaxiCare Los Osos 6 5 1 0 1 1 0 5 Orchid Garden Residential Care Los Osos 4 3 1 0 1 1 0 5 Pacific Heights Residential Home Los Osos 5 4 1 0 1 1 0 5 Rose Garden Los Osos 6 5 1 0 1 1 0 5 Rose Garden II Los Osos 5 4 1 0 1 1 0 5 Sachele Senior Guest Home III LLC Los Osos 6 5 1 0 1 1 0 BaywoodLos 6 5 1 0 1 1 0 5 Sea Gardens Osos 5 Southbay Maxi Care Los Osos 6 5 1 0 1 1 0 5 Sunrise RCFE Los Osos 6 5 1 0 1 1 0 5 Sunrise V Los Osos 6 5 1 0 1 1 0 BaywoodLos 6 5 1 0 1 1 0 5 Welcome Home II Osos 6 Aunt Carol's at the Beach Pismo Beach 6 5 1 0 1 1 0 Diablo Canyon Power Plant 821 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Wheel Wheel chair Current Ambu chair Bed Bus Bus PAZ Facility Name Municipality Census latory Bound ridden Runs Runs Ambulance 6 Carmel Home for the Elderly Grover Beach 6 5 1 0 1 1 0 8 Anna's Gardens San Luis Obispo 6 5 1 0 1 1 0 8 Aunt Carol's Place San Luis Obispo 6 5 1 0 1 1 0 8 Bella Vista Transitional Care San Luis Obispo 162 125 34 3 5 3 2 8 Bob and Corky's Care Home San Luis Obispo 6 5 1 0 1 1 0 8 Brophy's Place San Luis Obispo 5 4 1 0 1 1 0 8 Foothills Residential Care San Luis Obispo 6 5 1 0 1 1 0 8 French Hospital Medical Center San Luis Obispo 35 27 7 1 1 1 1 8 Garden Creek Assisted Living San Luis Obispo 72 56 15 1 2 1 1 8 Greenbrook Elderly Care San Luis Obispo 5 4 1 0 1 1 0 8 Greenhills San Luis Obispo 6 5 1 0 1 1 0 8 Greenhills II San Luis Obispo 6 5 1 0 1 1 0 8 Madonna Cottage San Luis Obispo 6 5 1 0 1 1 0 8 Manse on the Marsh San Luis Obispo 135 104 28 3 4 2 2 8 Mission View Health Center San Luis Obispo 161 124 34 3 5 3 2 8 San Luis Residential Care San Luis Obispo 6 5 1 0 1 1 0 8 San Luis Transitional Care Center San Luis Obispo 23 18 5 0 1 1 0 Sierra Vista Regional Medical 100 77 21 2 3 2 1 8 Center San Luis Obispo 8 Sunrise III San Luis Obispo 6 5 1 0 1 1 0 8 Sunrise IV San Luis Obispo 6 5 1 0 1 1 0 8 Sunrise VI San Luis Obispo 6 5 1 0 1 1 0 8 Sunrise VII San Luis Obispo 6 5 1 0 1 1 0 8 The Residence San Luis Obispo 6 5 1 0 1 1 0 8 The Village at Syndey Creek San Luis Obispo 84 64 18 2 3 2 1 8 Welcome Home Residential San Luis Obispo 6 5 1 0 1 1 0 9 Bayside Care Center Morro Bay 145 112 30 3 4 2 2 9 Casa De Flores Morro Bay 120 92 25 3 4 2 2 Diablo Canyon Power Plant 822 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Wheel Wheel chair Current Ambu chair Bed Bus Bus PAZ Facility Name Municipality Census latory Bound ridden Runs Runs Ambulance 9 Garden House Morro Bay 15 12 3 0 1 1 0 10 Alder House Arroyo Grande 32 25 7 0 1 1 0 10 Arroyo Grande Care Center Arroyo Grande 99 76 21 2 3 2 1 Arroyo Grande Community 75 58 16 2 2 2 1 10 Hospital Arroyo Grande 10 Family Care Home Grover Beach 6 5 1 0 1 1 0 10 Family Home Care II Grover Beach 6 5 1 0 1 1 0 10 Five Cities Residence Arroyo Grande 6 5 1 0 1 1 0 10 Full Circle Residence I Grover Beach 4 3 1 0 1 1 0 10 Full Circle Residence II Arroyo Grande 6 5 1 0 1 1 0 10 Get Total TLC Grover Beach 6 5 1 0 1 1 0 10 Golden Sunrise Grover Beach 5 4 1 0 1 1 0 10 Heritage Residence Grover Beach 4 3 1 0 1 1 0 10 Hillside Villa Retirement Home Arroyo Grande 6 5 1 0 1 1 0 10 Hillside Villa Retirement Home II Arroyo Grande 6 5 1 0 1 1 0 10 La Serena Residence Grover Beach 4 3 1 0 1 1 0 10 Parkview Village Arroyo Grande 5 4 1 0 1 1 0 10 Parkview Village II Grover Beach 6 5 1 0 1 1 0 Sacred Heart Residential Care 6 5 1 0 1 1 0 10 Facility Arroyo Grande 10 Wyndham Residence Arroyo Grande 72 55 15 2 2 1 1 11 Oak Park Manor Assisted Living Arroyo Grande 32 25 7 0 1 1 0 12 Cypress Garden Home Care Arroyo Grande 18 14 4 0 1 1 0 12 Cypress Ridge Home Care Arroyo Grande 6 5 1 0 1 1 0 TOTAL: 1,692 1,321 345 27 98 83 17 Diablo Canyon Power Plant 823 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Table 85. Summary of Transportation Resources Total Transportation Wheelchair Resource Drivers Buses1 Capacity2 Ambulances Resources Available San Luis Coastal Unified School District 28 39 45 0 Lucia Mar Unified School District 37 45 36 0 Cayucos School District 1 1 0 0 Atascadero Unified School District 15 26 19 0 Coast Unified School District 9 11 7 0 Paso Robles Joint Unified School District 33 36 13 0 San Miguel Joint Unified School District 7 6 3 0 Shandon Joint Unified School District 5 6 3 0 Templeton Unified School District 5 8 18 0 San Luis Obispo County Office of Education 6 4 0 0 Community Action Partnership 10 10 0 0 Atascadero Transit 10 6 12 0 Morro Bay Transit 4 5 10 0 Paso Robles Transit 10 6 12 0 Ride On 50 51 100 0 San Luis Regional Transit Authority (Fixed Route) 42 27 54 0 San Luis Regional Transit Authority (DoorToDoor) 14 12 24 So County Area Transit 21 6 12 0 3

SLO City Transit 25 18 28 Funride 0 13 0 Silverado Stages 24 14 2 0 Silver Bay Tours 4 1 0 0 AmericanStar Trailways 24 19 2 Bella Vista Transportation (SNF) 1 1 1 1 Garden Creek (RCFE) 1 3 1 0 Bayside Care Center ( SNF) 1 1 1 0 Casa De Flores (RCFE) 1 1 2 0 Wyndham (RCFE) 1 1 1 0 Country Care (SNF) 1 1 1 0 Atascadero Christian (RCFE) 1 1 1 0 Ingleside (RCFE) 1 1 2 0 Diablo Canyon Power Plant 824 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Total Transportation Wheelchair Resource Drivers Buses1 Capacity2 Ambulances San Luis Obispo County 0 0 15 San Luis Obispo Transit 30 17 0 0 TOTAL: 422 397 410 16 Resources Needed Schools (Table 82): 412 0 0 Medical Facilities (Table 84): 98 345 17 TransitDependent Population (Table 89): 114 0 0 Homebound Special Needs (Table 814): 30 117 5 Correctional Facilities (Section 8.6): Shelter In Place TOTAL TRANSPORTATION NEEDS: 654 462 22

1. Buses have varying capacities.

2. Total Wheelchair Capacity column represents the number of wheelchairs the total fleet can accommodate. These are not vehicles.

3. SLO City Transit has 17 buses. One of these buses has a double deck with a capacity of 81 people. This bus was counted as two because of its large capacity. Therefore, 18 buses are incorporated for SLO City Transit.

Diablo Canyon Power Plant 825 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Table 86. Bus Route Descriptions Bus Route Description Nodes Traversed from Route Start to EPZ Boundary Number School Buses 507, 162, 163, 164, 165, 504, 166, 167, 168, 505, 506, 1 Los Osos Middle School 169, 61, 177, 62, 76, 830, 78, 829, 79, 80, 81, 82 Baywood Elementary School 378, 162, 163, 164, 165, 504, 166, 167, 168, 505, 506, 2

169, 61, 177, 62, 76, 830, 78, 829, 79, 80, 81, 82 Manzanita School 154, 155, 156, 157, 158, 891, 159, 160, 161, 507, 16, Monarch Grove Elementary 3 163, 164, 165, 504, 166, 167, 168, 505, 506, 169, 61, School 177, 62, 76, 830, 78, 829, 79, 80, 81, 82 156, 157, 158, 891, 159, 160, 161, 507, 162, 163, 164, 4 Heartland Christian Academy 165, 504, 166, 167, 168, 505, 506, 169, 61, 177, 62, 76, 830, 78, 829, 79, 80, 81, 82 158, 891, 159, 160, 161, 507, 162, 163, 164, 165, 504, 5 Sunnyside Elementary School 166, 167, 168, 505, 506, 169, 61, 177, 62, 76, 830, 78, 829, 79, 80, 81, 82 159, 160, 161, 507, 162, 163, 164, 165, 504, 166, 167, Sonshine Preschool, Kindergarten, 6 168, 505, 506, 169, 61, 177, 62, 76, 830, 78, 829, 79, 80, and Afterschool 81, 82 55, 56, 57, 58, 59, 60, 170, 169, 61, 177, 62, 76, 830, 78, 7 Grizzly Challenge Charter School 829, 79, 80, 81, 82 514, 513, 55, 56, 57, 58, 59, 60, 170, 169, 61, 177, 62, 8 Juvenile Court Community School 76, 830, 78, 829, 79, 80, 81, 82 184, 382, 383, 777, 775, 893, 700, 50, 385, 51, 52, 516, 9 Laureate Private School 53, 54, 513, 55, 56, 57, 58, 59, 60, 170, 169, 61, 177, 62, 76, 830, 78, 829, 79, 80, 81, 82 Bishop Peak Elementary School Charles E. Teach Elementary 386, 385, 51, 52, 516, 53, 54, 513, 55, 56, 57, 58, 59, 60, 10 School 170, 169, 61, 177, 62, 76, 830, 78, 829, 79, 80, 81, 82 Pacheco Elementary School San Luis Classical Academy 12 774, 398, 395, 821, 394, 396, 22, 557, 21, 20, 19, 18 Olive Grove Charter School Diablo Canyon Power Plant 826 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Bus Route Description Nodes Traversed from Route Start to EPZ Boundary Number 581, 579, 186, 897, 900, 901, 310, 311, 786, 314, 554, 13 Laguna Middle School 555, 24, 545, 525, 47, 48, 524, 803, 23, 527, 389, 22, 557, 21, 20, 19, 18 Discovery House Montessori 579, 186, 897, 900, 901, 310, 311, 786, 314, 554, 555, 14 24, 545, 525, 47, 48, 524, 803, 23, 527, 389, 22, 557, 21, 20, 19, 18 C. L. Smith Elementary School San Luis Community School 186, 897, 900, 901, 310, 311, 786, 314, 554, 555, 24, 15 545, 525, 47, 48, 524, 803, 23, 527, 389, 22, 557, 21, 20, 19, 18 Pacific Beach High School 312, 311, 786, 314, 554, 555, 24, 545, 525, 47, 48, 524, 16 Laurus College 803, 23, 527, 389, 22, 557, 21, 20, 19, 18 17 San Luis Obispo High School 526, 393, 552, 392, 394, 396, 22, 557, 21, 20, 19, 18 530, 534, 535, 536, 537, 538, 565, 539, 545, 525, 47, 18 The Pinehurst Academy 48, 524, 803, 23, 527, 389, 22, 557, 21, 20, 19, 18 Mission College Prep 565, 539, 545, 525, 47, 48, 524, 803, 23, 527, 389, 22, 19 Old Mission School 557, 21, 20, 19, 18 331, 332, 333, 526, 393, 552, 392, 394, 396, 22, 557, 21 San Luis Obispo Christian School 21, 20, 19, 18 Liberty Christian School 400, 785, 401, 573, 571, 25, 315, 314, 554, 555, 24, 22 545, 525, 47, 48, 524, 803, 23, 527, 389, 22, 557, 21, 20, 19, 18 Montessori Children's School Hawthorne Elementary School 193, 536, 537, 538, 565, 539, 545, 525, 47, 48, 524, 23 Christian Day School 803, 23, 527, 389, 22, 557, 21, 20, 19, 18 Los Ranchos Elementary School 908, 595, 31, 32, 603, 33, 612, 34, 611, 615, 407, 35, 24 BellevueSanta Fe Charter School 495, 439, 440, 631, 36, 37, 38 Diablo Canyon Power Plant 827 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Bus Route Description Nodes Traversed from Route Start to EPZ Boundary Number 608, 609, 611, 615, 407, 35, 495, 439, 440, 631, 36, 37, 25 Shell Beach Elementary School 38 26 Judkins Middle School 623, 440, 631, 36, 37, 38 27 Grover Heights Elementary School 942, 37, 38 330, 331, 332, 333, 526, 393, 552, 392, 394, 396, 22, 28 Sinsheimer Elementary School 557, 21, 20, 19, 18 33 Cayucos Elementary School 359, 360, 361, 358, 69, 496, 70, 71, 72, 73 Arroyo Grande High School 34 Lighthouse Christian School 227, 421, 222, 671, 423, 226, 424, 422, 40, 41, 709, 42 Coastal Christian High School 35 Arroyo Grande Montessori 226, 424, 422, 40, 41, 709, 42 36 Branch Elementary School 1010, 1009, 1008, 1007, 1006, 422, 40, 41, 709, 42 California Polytechnic State 773, 925, 774, 398, 395, 821, 394, 396, 22, 557, 21, 20, 37 University 19, 18 420, 223, 464, 465, 466, 467, 468, 469, 426, 470, 224, 38 Cuesta College 932, 663, 225, 226, 424, 422, 40, 41, 709, 42 Dandy Lion Montessori 39 472, 665, 666, 227, 421, 1006, 422, 40, 41, 709, 42 Fairgrove Elementary School 40 Del Mar Elementary School 832, 833, 829, 79, 80, 81, 82, 83, 84, 85, 501, 86 Grover Beach Elementary School 426, 470, 224, 932, 663, 225, 226, 424, 422, 40, 41, 41 Peace Christian School 709, 42 42 Harloe Elementary School 228, 227, 421, 1006, 422, 40, 41, 709, 42 43 Lopez Continuation High School 472, 665, 666, 227, 421, 1006, 422, 40, 41, 709, 42 Loma Vista Community School 57, 58, 59, 60, 170, 169, 61, 177, 62, 76, 830, 78, 829, 44 Rancho El Chorro Environmental 79, 80, 81, 82 Education School Lopez High School 45 236, 237, 238, 717, 239 Mesa View Community School 46 Mesa Middle School 234, 235, 236, 237, 238, 717, 239 47 Morro Bay High School 1027, 77, 78, 829, 79, 80, 81, 82 48 North Oceano Elementary School 472, 225, 226, 424, 422, 40, 41, 709, 42 49 Ocean View Elementary School 931, 471, 664, 425, 424, 422, 40, 41, 709, 42 Diablo Canyon Power Plant 828 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Bus Route Description Nodes Traversed from Route Start to EPZ Boundary Number 246, 429, 1034, 493, 702, 701, 234, 235, 236, 237, 238, 50 Oceano Elementary School 717, 239 51 Paulding Middle School 221, 222, 671, 423, 226, 424, 422, 40, 41, 709, 42 433, 639, 432, 934, 933, 931, 471, 664, 425, 424, 422, 52 Royal Oaks Christian School 40, 41, 709, 42 53 Saint Patrick's School 668, 667, 931, 471, 664, 425, 424, 422, 40, 41, 709, 42 55 Valley View Adventist Academy 671, 423, 226, 424, 422, 40, 41, 709, 42 Transit Dependent Bus Routes 159, 160, 161, 507, 162, 163, 164, 165, 504, 166, 167, Morro Bay & Los Osos Transit 29 168, 505, 506, 169, 61, 177, 62, 76, 830, 78, 829, 79, 80, Dependent Pick up Points 81, 82, 83 905, 299, 300, 301, 302, 303, 904, 592, 593, 594, 908, Pismo Beach & Avila Beach Transit 994, 595, 31, 32, 603, 33, 612, 34, 611, 615, 407, 35, 30 Dependent Pick up Points 495, 439, 440, 631, 36, 37, 38, 39, 664, 425, 424, 422, 40, 41, 709, 42, 716 San Luis Obispo Transit 388, 770, 391, 771, 390, 527, 389, 22, 557, 21, 20, 19, 31 Dependent Pick up Points 18 Grover Beach Transit Dependent 472, 922, 493, 702, 701, 234, 235, 236, 237, 238, 717, 32 Pick up Points 239 Medical Facility Bus Routes Medical Facilities in San Luis 315, 314, 554, 555, 24, 545, 525, 47, 48, 524, 803, 23, 61 Obispo 527, 389, 22, 557, 21, 20, 19, 18 1022, 1053, 427, 426, 470, 224, 932, 663, 225, 226, 423, 425, 664, 39, 38, 37, 36, 631, 440, 439, 495, 35, 407, 615, 611, 34, 612, 33, 603, 32, 31, 591, 30, 29, 590, 62 Medical Facilities in Grover Beach 28, 589, 27, 26, 189, 571, 25, 315, 314, 554, 555, 24, 545, 525, 47, 48, 524, 803, 23, 527, 389, 22, 557, 21, 20, 19, 18 155, 1000, 156, 157, 158, 891, 159, 160, 161, 507, 162, Medical Facilities in Los 63 163, 164, 165, 504, 166, 167, 168, 505, 506, 169, 61, Osos/Morro Bay 177, 62, 76, 830, 78, 829, 79, 80, 81, 82 Diablo Canyon Power Plant 829 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Table 87. School Evacuation Time Estimates Good Weather Travel Time Travel Dist. EPZ from Driver Loading Dist. To Average Time to bdry to EPZ Bdry ETE to Mobilization Time EPZ Bdry Speed EPZ Bdry ETE S.R.C. to S.R.C. S.R.C.

School Time (min) (mi.) (mph) (min.) (hr:min) (mi.) (min) (hr:min)

SAN LUIS OBISPO SCHOOLS Arroyo Grande High School 120 15 6.63 6.57 61 3:20 1.87 2 3:20 Arroyo Grande Montessori 120 15 6.03 9.33 39 2:55 1.87 2 3:00 Baywood Elementary School 120 15 15.76 4.74 200 5:35 25.42 28 6:05 BellevueSanta Fe Charter School 120 15 8.87 2.46 216 5:55 1.87 2 5:55 Bishop Peak Elementary School 120 15 15.76 10.88 87 3:45 25.42 28 4:10 Branch Elementary School 120 15 8.83 11.48 46 3:05 1.87 2 3:05 C. L. Smith Elementary School 120 15 6.86 2.70 152 4:50 25.97 28 5:15 California Polytechnic State University 120 15 3.88 2.99 78 3:35 25.97 28 4:05 Cayucos Elementary School 120 15 1.52 14.60 6 2:25 11.94 13 2:35 Charles E. Teach Elementary School 120 15 5.47 9.80 33 2:50 36.23 40 3:30 Christian Day School 120 15 5.17 6.40 48 3:05 25.97 28 3:35 Coastal Christian High School 120 15 6.52 6.57 60 3:15 25.97 28 3:45 Dandy Lion Montessori 120 15 8.35 8.44 59 3:15 1.87 2 3:20 Del Mar Elementary School 120 15 4.52 41.90 6 2:25 25.42 28 2:50 Discovery House Montessori 120 15 6.45 2.67 145 4:40 25.97 28 5:10 Fairgrove Elementary School 120 15 8.71 8.44 62 3:20 1.87 2 3:20 Grizzly Challenge Charter School 120 15 12.81 9.00 85 3:40 25.42 28 4:10 Grover Beach Elementary School 120 15 7.85 4.57 103 4:00 1.87 2 4:00 Grover Heights Elementary School 120 15 8.10 4.24 115 4:10 1.87 2 4:15 Harloe Elementary School 120 15 6.66 8.28 48 3:05 1.87 2 3:05 Hawthorne Elementary School 120 15 4.73 6.40 44 3:00 25.97 28 3:30 Heartland Christian Academy 120 15 10.93 3.05 215 5:50 25.42 28 6:20 Judkins Middle School 120 15 9.64 3.41 170 5:05 1.87 2 5:10 Juvenile Court Community School 120 15 13.01 9.40 83 3:40 25.42 28 4:10 Laguna Middle School 120 15 6.58 2.55 155 4:50 25.97 28 5:20 Diablo Canyon Power Plant 830 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Travel Time Travel Dist. EPZ from Driver Loading Dist. To Average Time to bdry to EPZ Bdry ETE to Mobilization Time EPZ Bdry Speed EPZ Bdry ETE S.R.C. to S.R.C. S.R.C.

School Time (min) (mi.) (mph) (min.) (hr:min) (mi.) (min) (hr:min)

Laureate Private School 120 15 19.17 5.80 198 5:35 25.42 28 6:05 Liberty Christian School 120 15 6.89 3.04 136 4:35 25.97 28 5:00 Lighthouse Christian School 120 15 6.63 6.57 61 3:20 1.87 2 3:20 Loma Vista Community School 120 15 11.51 8.20 84 3:40 25.42 28 4:10 Lopez Continuation High School 120 15 7.40 8.33 53 3:10 1.87 2 3:10 Lopez High School 120 15 5.26 7.56 42 3:00 4.56 5 3:05 Los Osos Middle School 120 15 8.42 3.42 148 4:45 25.42 28 5:15 Los Ranchos Elementary School 120 15 8.81 6.21 85 3:40 25.97 28 4:10 Manzanita School 120 15 8.95 3.44 156 4:55 25.42 28 5:20 Mesa Middle School 120 15 6.86 7.65 54 3:10 4.56 5 3:15 Mesa View Community School 120 15 5.26 7.56 42 3:00 4.56 5 3:05 Mission College Prep 120 15 3.77 8.90 25 2:40 25.97 28 3:10 Monarch Grove Elementary School 120 15 11.10 3.14 212 5:50 25.42 28 6:15 Montessori Children's School 120 15 6.89 3.04 136 4:35 25.97 28 5:00 Morro Bay High School 120 15 3.56 22.40 10 2:25 25.42 28 2:55 North Oceano Elementary School 120 15 7.89 5.60 85 3:40 1.87 2 3:45 Ocean View Elementary School 120 15 6.77 8.58 47 3:05 1.87 2 3:05 Oceano Elementary School 120 15 9.23 3.66 151 4:50 25.97 28 5:15 Olive Grove Charter School 120 15 3.06 3.82 48 3:05 25.97 28 3:35 Pacheco Elementary School 120 15 15.98 10.88 88 3:45 25.42 28 4:15 Pacific Beach High School 120 15 6.34 2.73 139 4:35 25.97 28 5:05 Paulding Middle School 120 15 6.81 6.90 59 3:15 1.87 2 3:20 Peace Christian School 120 15 7.35 4.47 99 3:55 25.42 28 4:25 Rancho El Chorro Environmental Education 120 15 10.80 8.20 79 3:35 25.42 28 4:05 School Royal Oaks Christian School 120 15 7.54 4.21 107 4:05 1.87 2 4:05 Saint Patrick's School 120 15 6.61 7.55 53 3:10 1.87 2 3:10 Diablo Canyon Power Plant 831 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Travel Time Travel Dist. EPZ from Driver Loading Dist. To Average Time to bdry to EPZ Bdry ETE to Mobilization Time EPZ Bdry Speed EPZ Bdry ETE S.R.C. to S.R.C. S.R.C.

School Time (min) (mi.) (mph) (min.) (hr:min) (mi.) (min) (hr:min)

San Luis Classical Academy 120 15 3.06 3.82 48 3:05 25.97 28 3:35 San Luis Community School 120 15 6.17 2.73 136 4:35 25.97 28 5:00 San Luis Obispo Christian School 120 15 3.65 3.90 56 3:15 25.97 28 3:40 San Luis Obispo High School 120 15 3.17 4.80 40 2:55 25.97 28 3:25 Shell Beach Elementary School 120 15 13.14 3.03 260 6:35 1.87 2 6:40 Sinsheimer Elementary School 120 15 4.36 3.68 71 3:30 25.97 28 3:55 Sunnyside Elementary School 120 15 10.08 3.05 199 5:35 25.42 28 6:05 Sonshine Preschool, Kindergarten, and 120 15 10.45 3.27 192 5:30 25.42 28 5:55 Afterschool The Pinehurst Academy 120 15 4.28 6.30 41 3:00 25.97 28 3:25 Valley View Adventist Academy 120 15 6.19 8.22 45 3:00 1.87 2 3:05 Maximum for EPZ: 6:35 Maximum: 6:40 Average for EPZ: 3:52 Average: 4:10 Diablo Canyon Power Plant 832 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Table 88. School Evacuation Time Estimates Rain Travel Travel Dist. To Time to Dist. EPZ Time from Driver Loading EPZ Average EPZ bdry to EPZ Bdry ETE to Mobilization Time Bdry Speed Bdry ETE S.R.C. to S.R.C. S.R.C.

School Time (min) (mi.) (mph) (min.) (hr:min) (mi.) (min) (hr:min)

SAN LUIS OBISPO SCHOOLS Arroyo Grande High School 130 20 6.63 5.21 76 3:50 1.87 2 3:50 Arroyo Grande Montessori 130 20 6.03 9.05 40 3:10 1.87 2 3:15 Baywood Elementary School 130 20 15.76 4.85 195 5:45 25.42 31 6:20 BellevueSanta Fe Charter School 130 20 8.87 2.37 224 6:15 1.87 2 6:20 Bishop Peak Elementary School 130 20 15.76 11.99 79 3:50 25.42 31 4:20 Branch Elementary School 130 20 8.83 11.50 46 3:20 1.87 2 3:20 C. L. Smith Elementary School 130 20 6.86 2.75 150 5:00 25.97 31 5:35 California Polytechnic State University 130 20 3.88 2.99 78 3:50 25.97 31 4:20 Cayucos Elementary School 130 20 1.52 15.00 6 2:40 11.94 14 2:50 Charles E. Teach Elementary School 130 20 5.47 10.97 30 3:00 36.23 43 3:45 Christian Day School 130 20 5.17 5.72 54 3:25 25.97 31 3:55 Coastal Christian High School 130 20 6.52 5.21 75 3:45 25.97 31 4:20 Dandy Lion Montessori 130 20 8.35 7.19 70 3:40 1.87 2 3:45 Del Mar Elementary School 130 20 4.52 39.50 7 2:40 25.42 31 3:10 Discovery House Montessori 130 20 6.45 2.61 148 5:00 25.97 31 5:30 Fairgrove Elementary School 130 20 8.71 7.11 73 3:45 1.87 2 3:45 Grizzly Challenge Charter School 130 20 12.81 9.87 78 3:50 25.42 31 4:20 Grover Beach Elementary School 130 20 7.85 3.93 120 4:30 1.87 2 4:35 Grover Heights Elementary School 130 20 8.10 4.25 114 4:25 1.87 2 4:30 Harloe Elementary School 130 20 6.66 7.33 54 3:25 1.87 2 3:30 Hawthorne Elementary School 130 20 4.73 5.72 50 3:20 25.97 31 3:55 Heartland Christian Academy 130 20 10.93 3.35 196 5:50 25.42 31 6:20 Judkins Middle School 130 20 9.64 3.15 184 5:35 1.87 2 5:40 Juvenile Court Community School 130 20 13.01 10.30 76 3:50 25.42 31 4:20 Laguna Middle School 130 20 6.58 2.59 152 5:05 25.97 31 5:35 Laureate Private School 130 20 19.17 5.58 206 6:00 25.42 31 6:30 Diablo Canyon Power Plant 833 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Travel Travel Dist. To Time to Dist. EPZ Time from Driver Loading EPZ Average EPZ bdry to EPZ Bdry ETE to Mobilization Time Bdry Speed Bdry ETE S.R.C. to S.R.C. S.R.C.

School Time (min) (mi.) (mph) (min.) (hr:min) (mi.) (min) (hr:min)

Liberty Christian School 130 20 6.89 3.06 135 4:45 25.97 31 5:20 Lighthouse Christian School 130 20 6.63 5.21 76 3:50 1.87 2 3:50 Loma Vista Community School 130 20 11.51 9.03 76 3:50 25.42 31 4:20 Lopez Continuation High School 130 20 7.40 7.19 62 3:35 1.87 2 3:35 Lopez High School 130 20 5.26 5.83 54 3:25 4.56 5 3:30 Los Osos Middle School 130 20 8.42 3.14 161 5:15 25.42 31 5:45 Los Ranchos Elementary School 130 20 8.81 5.52 96 4:10 25.97 31 4:40 Manzanita School 130 20 8.95 3.43 156 5:10 25.42 31 5:40 Mesa Middle School 130 20 6.86 6.01 68 3:40 4.56 5 3:45 Mesa View Community School 130 20 5.26 5.83 54 3:25 4.56 5 3:30 Mission College Prep 130 20 3.77 6.34 36 3:10 25.97 31 3:40 Monarch Grove Elementary School 130 20 11.10 3.08 216 6:10 25.42 31 6:40 Montessori Children's School 130 20 6.89 3.06 135 4:45 25.97 31 5:20 Morro Bay High School 130 20 3.56 23.30 9 2:40 25.42 31 3:10 North Oceano Elementary School 130 20 7.89 4.53 105 4:15 1.87 2 4:20 Ocean View Elementary School 130 20 6.77 8.62 47 3:20 1.87 2 3:20 Oceano Elementary School 130 20 9.23 3.74 148 5:00 25.97 31 5:30 Olive Grove Charter School 130 20 3.06 3.47 53 3:25 25.97 31 3:55 Pacheco Elementary School 130 20 15.98 11.99 80 3:50 25.42 31 4:25 Pacific Beach High School 130 20 6.34 2.67 143 4:55 25.97 31 5:25 Paulding Middle School 130 20 6.81 6.20 66 3:40 1.87 2 3:40 Peace Christian School 130 20 7.35 3.93 112 4:25 25.42 31 4:55 Rancho El Chorro Environmental 130 20 10.80 8.43 77 3:50 25.42 31 4:20 Education School Royal Oaks Christian School 130 20 7.54 3.62 125 4:35 1.87 2 4:40 Saint Patrick's School 130 20 6.61 7.65 52 3:25 1.87 2 3:25 San Luis Classical Academy 130 20 3.06 3.47 53 3:25 25.97 31 3:55 San Luis Community School 130 20 6.17 2.67 139 4:50 25.97 31 5:20 Diablo Canyon Power Plant 834 KLD Engineering, P.C.

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Travel Travel Dist. To Time to Dist. EPZ Time from Driver Loading EPZ Average EPZ bdry to EPZ Bdry ETE to Mobilization Time Bdry Speed Bdry ETE S.R.C. to S.R.C. S.R.C.

School Time (min) (mi.) (mph) (min.) (hr:min) (mi.) (min) (hr:min)

San Luis Obispo Christian School 130 20 3.65 3.46 63 3:35 25.97 31 4:05 San Luis Obispo High School 130 20 3.17 4.38 43 3:15 25.97 31 3:45 Shell Beach Elementary School 130 20 13.14 2.78 283 7:15 1.87 2 7:15 Sinsheimer Elementary School 130 20 4.36 3.06 86 4:00 25.97 31 4:30 Sunnyside Elementary School 130 20 10.08 3.07 197 5:50 25.42 31 6:20 Sonshine Preschool, Kindergarten, and 130 20 10.45 3.34 188 5:40 25.42 31 6:10 Afterschool The Pinehurst Academy 130 20 4.28 5.54 46 3:20 25.97 31 3:50 Valley View Adventist Academy 130 20 6.19 7.68 48 3:20 1.87 2 3:20 Maximum for EPZ: 5:45 Maximum: 7:15 Average for EPZ: 4:11 Average: 4:33 Diablo Canyon Power Plant 835 KLD Engineering, P.C.

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Table 89. Summary of TransitDependent Bus Routes Route No.

Route/PAZs Name of Length Serviced Buses Route Description (mi.)

Eastbound on Los Osos Valley Rd to 9th St northbound to Los Olives Ave eastbound 29 Morro to 11th St northbound to Ramona Ave westbound to 6th St northbound to Santa Services Bay 25 Ysabel Ave eastbound to S Bay Blvd northbound to Parkview Drive westbound to 16 PAZs 5 & 9 Route Main St northbound, to Kern Ave northbound to Anchor St westbound to Main St northbound to US 1 northbound to EPZ boundary Avila 30 and Avila Beach Drive westbound to San Luis Bay Dr. westbound to US 101 southbound Services Pismo 2 18 to EPZ boundary PAZs 3 & 6 Beach Route San 31 Luis Los Osos Valley Rd Southbound to S Higuera St Northbound into San Luis Obispo; Services 54 13 Obispo Monterey St Westbound to US 101 Northbound to EPZ Boundary PAZ 8 Route 32 Grover SH 1 Southbound to Grover Beach; SH 227 to Arroyo Grande; Noyes Rd Southbound Services Beach 33 24 to US 101 SB to S Halcyon Rd Southbound to SH 1 Southbound to EPZ Boundary PAZ 10 Route Total: 114 Diablo Canyon Power Plant 836 KLD Engineering, P.C.

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Table 810. TransitDependent Evacuation Time Estimates Good Weather OneWave TwoWave Travel Number Distance Route Bus Route Time Route of Length Speed Pickup to Rec. Driver Pickup Number Number 3 Mobilization Travel ETE to Unload Travel ETE Stops (miles) (mph) Time Ctr Rest Time Time Rec. Time (miles)

Ctr 18 30 90 16 11.2 86 30 3:30 36 39 5 10 144 30 7:20 29 916 30 110 16 13.9 69 30 3:30 36 39 5 10 144 30 7:20 1725 30 130 16 14.6 66 30 3:50 36 39 5 10 125 30 7:20 30 12 30 90 18 4.3 252 30 6:15 12 13 5 10 119 30 9:15 118 30 90 13 6.1 127 30 4:10 26 28 5 10 112 30 7:20 31 1936 30 110 13 6.6 118 30 4:20 26 28 5 10 111 30 7:25 3754 30 130 13 7.3 107 30 4:30 26 28 5 10 110 30 7:35 111 30 90 24 5.8 249 30 6:10 15 16 5 10 195 30 10:30 32 1222 30 110 24 6.0 241 30 6:25 15 16 5 10 180 30 10:30 2333 30 130 24 6.2 231 30 6:35 15 16 5 10 177 30 10:35 Maximum ETE: 6:35 Maximum ETE: 10:35 Average ETE: 4:55 Average ETE: 8:35 3

Bus routes service predefined carless collection points as well as flag stops wherein residents walk to the nearest major route and flag down passing buses.

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Table 811. TransitDependent Evacuation Time Estimates Rain OneWave TwoWave Travel Number Distance Route Bus Route Time Route of Length Speed Pickup to Rec. Driver Pickup Number Number 3 Mobilization Travel ETE to Unload Travel ETE Stops (miles) (mph) Time Ctr Rest Time Time Rec. Time (miles)

Ctr 18 30 100 16 3.8 251 40 6:35 36 43 5 10 82 40 9:40 29 916 30 120 16 3.9 244 40 6:45 36 43 5 10 82 40 9:50 1725 30 140 16 4.1 232 40 6:55 36 43 5 10 82 40 10:00 30 12 30 100 18 3.8 288 40 7:10 12 14 5 10 143 40 10:45 118 30 100 13 5.4 144 40 4:45 26 31 5 10 123 40 8:15 31 1936 30 120 13 5.9 133 40 4:55 26 31 5 10 123 40 8:25 3754 30 140 13 6.6 118 40 5:00 26 31 5 10 117 40 8:25 111 30 100 24 4.7 305 40 7:30 15 18 5 10 199 40 12:05 32 1222 30 120 24 4.8 299 40 7:40 15 18 5 10 195 40 12:10 2333 30 140 24 5.0 290 40 7:50 15 18 5 10 190 40 12:15 Maximum ETE: 7:50 Maximum ETE: 12:15 Average ETE: 6:30 Average ETE: 10:15 Diablo Canyon Power Plant 838 KLD Engineering, P.C.

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Table 812. Medical Facilities Evacuation Time Estimates Good Weather Travel Loading Total Time to Time Loading EPZ (per Time4 Boundary Medical Facility Location Patient Mobilization person) People (minutes) ETE Ambulatory 90 1 318 30 100 3:40 Los Osos and Morro Bay (PAZs 5 & 9) Wheelchair bound 90 5 80 15 91 4:20 Bedridden 90 15 6 2 100 3:40 Ambulatory 90 1 673 30 136 4:20 San Luis Obispo (PAZ 8) Wheelchair bound 90 5 178 15 136 5:05 Bedridden 90 15 15 2 136 4:20 Ambulatory 90 1 354 30 136 4:20 Grover Beach and Arroyo Grande Wheelchair bound 90 5 94 15 158 5:25 (PAZs 6, 10, 11, & 12)

Bedridden 90 15 7 2 136 4:20 Table 813. Medical Facilities Evacuation Time Estimates Rain Travel Loading Total Time to Time Loading EPZ (per Time4 Boundary Medical Facility Location Patient Mobilization person) People (minutes) ETE Ambulatory 100 1 318 30 103 3:55 Los Osos and Morro Bay (PAZs 5 & 9) Wheelchair bound 100 5 80 15 100 4:35 Bedridden 100 15 6 2 103 3:55 Ambulatory 100 1 673 30 167 5:00 San Luis Obispo (PAZ 8) Wheelchair bound 100 5 178 15 158 5:35 Bedridden 100 15 15 2 167 5:00 Ambulatory 100 1 354 30 130 4:20 Grover Beach and Arroyo Grande Wheelchair bound 100 5 94 15 150 5:25 (PAZs 6, 10, 11, & 12)

Bedridden 100 15 7 2 130 4:20 4

Assumes concurrent loading on multiple vehicles filled to capacity. See Section 8.4, page 812.

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Table 814. Homebound Special Needs Population Evacuation Time Estimates Total Loading Travel People Loading Travel to Time at Time to Requiring Vehicles Weather Mobilization Time at Subsequent Subsequent EPZ Vehicle Type Vehicle deployed Stops Conditions Time 1st Stop Stops Stops Boundary ETE Normal 90 126 48 5:40 Buses 426 30 15 5 70 Rain 100 140 54 6:10 Wheelchair Normal 90 63 43 4:00 117 15 8 5 35 Buses Rain 100 70 48 4:20 Normal 30 10 20 1:30 Ambulances 10 5 2 15 15 Rain 40 11 29 1:50 Diablo Canyon Power Plant 840 KLD Engineering, P.C.

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9 TRAFFIC MANAGEMENT STRATEGY This section discusses the suggested traffic control and management strategy that is designed to expedite the movement of evacuating traffic. The resources required to implement this strategy include:

• Personnel with the capabilities of performing the planned control functions of traffic guides (preferably, not necessarily, law enforcement officers).

• Traffic Control Devices to assist these personnel in the performance of their tasks. These devices should comply with the guidance of the Manual of Uniform Traffic Control Devices (MUTCD) published by the Federal Highway Administration (FHWA) of the U.S.D.O.T. All state and most county transportation agencies have access to the MUTCD, which is available online: http://mutcd.fhwa.dot.gov which provides access to the official PDF version.

• A plan that defines all locations, provides necessary details and is documented in a format that is readily understood by those assigned to perform traffic control.

The functions to be performed in the field are:

1. Facilitate evacuating traffic movements that safely expedite travel out of the EPZ.

2. Discourage traffic movements that move evacuating vehicles in a direction which takes them significantly closer to the power plant, or which interferes with the efficient flow of other evacuees.

We employ the terms "facilitate" and "discourage" rather than "enforce" and "prohibit" to indicate the need for flexibility in performing the traffic control function. There are always legitimate reasons for a driver to prefer a direction other than that indicated. For example:

• A driver may be traveling home from work or from another location, to join other family members prior to evacuating.

• An evacuating driver may be travelling to pick up a relative, or other evacuees.

• The driver may be an emergency worker en route to perform an important activity.

The implementation of a plan must also be flexible enough for the application of sound judgment by the traffic guide.

The traffic management plan is the outcome of the following process:

1. The existing TCPs and ACPs identified by the offsite agencies in their existing emergency plans serve as the basis of the traffic management plan, as per NUREG/CR7002.

2. The existing TCPs and ACPs and how they were applied in this study are discussed in Appendix G.

3. Computer analysis of the evacuation traffic flow environment (see Figures 73 through 711). As discussed in Section 7.3, congestion within the EPZ is persists for 10 hours1.157407e-4 days <br />0.00278 hours <br />1.653439e-5 weeks <br />3.805e-6 months <br /> and 15 minutes after the Evacuation Order. Based on the extensive traffic congestion within the EPZ, no additional TCPs or ACPs are identified as a result of this study. The existing traffic management plans are adequate.

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The use of Intelligent Transportation Systems (ITS) technologies can reduce manpower and equipment needs, while still facilitating the evacuation process. Dynamic Message Signs (DMS) can be placed within the EPZ to provide information to travelers regarding traffic conditions, route selection, and reception center information. DMS can also be placed outside of the EPZ to warn motorists to avoid using routes that may conflict with the flow of evacuees away from the power plant. Highway Advisory Radio (HAR) can be used to broadcast information to evacuees en route through their vehicle stereo systems. Automated Traveler Information Systems (ATIS) can also be used to provide evacuees with information. Internet websites can provide traffic and evacuation route information before the evacuee begins his trip, while on board navigation systems (GPS units), cell phones, and pagers can be used to provide information en route. These are only several examples of how ITS technologies can benefit the evacuation process. Consideration should be given that ITS technologies be used to facilitate the evacuation process, and any additional signage placed should consider evacuation needs.

The ETE analysis treated all controlled intersections that are existing TCP locations in the offsite agency plans as being controlled by actuated signals.

Chapters 2N and 5G, and Part 6 of the 2009 MUTCD are particularly relevant and should be reviewed during emergency response training.

The ETE calculations reflect the assumption that all externalexternal trips are interdicted and diverted after 30 minutes have elapsed from the Evacuation Order.

All transit vehicles and other responders entering the EPZ to support the evacuation are assumed to be unhindered by personnel manning ACPs and TCPs.

Study Assumptions 5 and 6 in Section 2.3 discuss ACP and TCP staffing schedules and operations.

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10 EVACUATION ROUTES Evacuation routes are comprised of two distinct components:

• Routing from a PAZ being evacuated to the boundary of the Evacuation Region and then out of the EPZ.

• Routing of transitdependent evacuees from the EPZ boundary to reception centers.

Evacuees will select routes within the EPZ in such a way as to minimize their exposure to risk.

This expectation is met by the DYNEV II model routing traffic away from the location of the plant, to the extent practicable. The DTRAD model satisfies this behavior by routing traffic so as to balance traffic demand relative to the available highway capacity to the extent possible.

See Appendices B through D for further discussion.

The routing of transitdependent evacuees from the EPZ boundary to reception centers is designed to minimize the amount of travel outside the EPZ, from the points where these routes cross the EPZ boundary.

Figure 101 present maps showing the general population reception centers and public school relocation centers for evacuees. The major evacuation routes for the EPZ are presented in Figure 102.

It is assumed that all school evacuees will be taken to the appropriate public school relocation center and subsequently picked up by parents or guardians. Transitdependent evacuees are transported to the nearest reception center for each county. This study does not consider the transport of evacuees from reception centers to congregate care centers, if the county does make the decision to relocate evacuees.

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Figure 101. General Population Reception Centers and Public School Relocation Centers Diablo Canyon Power Plant 102 KLD Engineering, P.C.

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Figure 102. Evacuation Route Map Diablo Canyon Power Plant 103 KLD Engineering, P.C.

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11 SURVEILLANCE OF EVACUATION OPERATIONS There is a need for surveillance of traffic operations during the evacuation. There is also a need to clear any blockage of roadways arising from accidents or vehicle disablement. Surveillance can take several forms.

1. Traffic control personnel, located at Traffic Control and Access Control points, provide fixedpoint surveillance.

2. Ground patrols may be undertaken along welldefined paths to ensure coverage of those highways that serve as major evacuation routes.

3. Aerial surveillance of evacuation operations may also be conducted using helicopter or fixedwing aircraft, if available.

4. Cellular phone calls (if cellular coverage exists) from motorists may also provide direct field reports of road blockages.

These concurrent surveillance procedures are designed to provide coverage of the entire EPZ as well as the area around its periphery. It is the responsibility of the county to support an emergency response system that can receive messages from the field and be in a position to respond to any reported problems in a timely manner. This coverage should quickly identify, and expedite the response to any blockage caused by a disabled vehicle.

Tow Vehicles In a lowspeed traffic environment, any vehicle disablement is likely to arise due to a lowspeed collision, mechanical failure or the exhaustion of its fuel supply. In any case, the disabled vehicle can be pushed onto the shoulder, thereby restoring traffic flow. Past experience in other emergencies indicates that evacuees who are leaving an area often perform activities such as pushing a disabled vehicle to the side of the road without prompting.

While the need for tow vehicles is expected to be low under the circumstances described above, it is still prudent to be prepared for such a need. Consideration should be given that tow trucks with a supply of gasoline be deployed at strategic locations within, or just outside, the EPZ. These locations should be selected so that:

They permit access to key, heavily loaded, evacuation routes.

Responding tow trucks would most likely travel counterflow relative to evacuating traffic.

Consideration should also be given that the state and local emergency management agencies encourage gas stations to remain open during the evacuation.

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12 CONFIRMATION TIME It is necessary to confirm that the evacuation process is effective in the sense that the public is complying with the Evacuation Order. Section 5.1.4 of the San Luis Obispo County/Cities Nuclear Power Plant Emergency Response Plan indicates the following regarding confirmation of evacuation:

Evacuation will be confirmed by law enforcement agencies. Confirmation of evacuation will take place both during an evacuation for the purpose of judging the progress and at the end in order to insure completion. Although primarily intended to insure the population has left potential impact areas, confirmation also aids in establishing security control of evacuated areas.

Confirmation of evacuation by law enforcement agencies can be done in two ways:

1. Observation of traffic flow at traffic control posts near the periphery of the evacuated area

2. Traveling fixed routes within the EPZ to observe whether any homes appear to still be occupied The first method utilizes manpower that is already performing the traffic control function and is the most efficient process. Police officers could radio central dispatch or the Emergency Operations Center (EOC) and alert them when traffic flow begins to diminish toward the end of the evacuation. Using this method, time to confirm evacuation would be equal to the 100th percentile ETE.

The second method would require additional manpower. Police cars would be dispatched to densely populated residential areas to observe whether or not homes are vacant. There are approximately 1,200 roadway miles in the DCPP EPZ. Assuming a police cruiser would travel at 20mph down each road, confirmation of evacuation would take 60 hours6.944444e-4 days <br />0.0167 hours <br />9.920635e-5 weeks <br />2.283e-5 months <br />. Assigning 15 police officers to this task would reduce the confirmation time to 4 hours4.62963e-5 days <br />0.00111 hours <br />6.613757e-6 weeks <br />1.522e-6 months <br />. If a smaller portion of the EPZ were evacuated, there would be less roadway miles to cover and the confirmation time would be reduced. If the confirmation of evacuation were started at approximately 4 hours4.62963e-5 days <br />0.00111 hours <br />6.613757e-6 weeks <br />1.522e-6 months <br /> after the Evacuation Order (nearly all evacuees have mobilized at this point in time - see Table 58), then confirmation would be completed before the 90th percentile ETE (see Table 71) for the evacuation of the entire EPZ.

Should there be insufficient manpower to confirm evacuation using either of the methods discussed above, the following alternative or complementary approach is suggested.

The suggested procedure employs a stratified random sample and a telephone survey. The size of the sample is dependent on the expected number of households that do not comply with the Evacuation Order. We believe it is reasonable to assume, for the purpose of estimating sample size that at least 80 percent of the population within the EPZ will comply with the Evacuation Order. On this basis, an analysis could be undertaken (see Table 121) to yield an estimated sample size of approximately 300.

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The confirmation process should start at about 21/2 hours after the Evacuation Order, which is when approximately 90 percent of evacuees have completed their mobilization activities (see Table 58). At this time, virtually all evacuees will have departed on their respective trips and the local telephone system will be largely free of traffic.

As indicated in Table 121, approximately 71/2 person hours are needed to complete the telephone survey. If six people are assigned to this task, each dialing a different set of telephone exchanges (e.g., each person can be assigned a different set of PAZs), then the confirmation process will extend over a timeframe of about 75 minutes. Thus, the confirmation should be completed well before the evacuated area is cleared. Of course, fewer people would be needed for this survey if the Evacuation Region were only a portion of the EPZ. Use of modern automated computer controlled dialing equipment or other technologies (e.g., reverse 911 or equivalent) can significantly reduce the manpower requirements and the time required to undertake this type of confirmation survey.

If this method is indeed used by the county, consideration should be given to maintain a list of telephone numbers within the EPZ in the EOC at all times. Such a list could be purchased from vendors and should be periodically updated. As indicated above, the confirmation process should not begin until 21/2 hours after the Evacuation Order, to ensure that households have had enough time to mobilize. This 21/2hour timeframe will enable telephone operators to arrive at their workplace, obtain a call list and prepare to make the necessary phone calls.

Should the number of telephone responses (i.e., people still at home) exceed 20 percent, then the telephone survey should be repeated after an hour's interval until the confirmation process is completed.

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Table 121. Estimated Number of Telephone Calls Required for Confirmation of Evacuation Problem Definition Estimate number of phone calls, n, needed to ascertain the proportion, F of households that have not evacuated.

Reference:

Burstein, H., Attribute Sampling, McGraw Hill, 1971 Given:

No. of households plus other facilities, N, within the EPZ (est.) = 62,000 Est. proportion, F, of households that will not evacuate = 0.20 Allowable error margin, e: 0.05 Confidence level, : 0.95 (implies A = 1.96)

Applying Table 10 of cited reference, 0.25; 1 0.75 308 Finite population correction:

306 1

Thus, some 300 telephone calls will confirm that approximately 20 percent of the population has not evacuated. If only 10 percent of the population does not comply with the Evacuation Order, then the required sample size, nF = 215.

Est. Person Hours to complete 300 telephone calls Assume:

Time to dial using touch tone (random selection of listed numbers): 30 seconds Time for 6 rings (no answer): 36 seconds Time for 4 rings plus short conversation: 60 sec.

Interval between calls: 20 sec.

Person Hours:

300 30 0.8 36 0.2 60 20 7.6 3600 Diablo Canyon Power Plant 123 KLD Engineering, P.C.

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APPENDIX A Glossary of Traffic Engineering Terms

A. GLOSSARY OF TRAFFIC ENGINEERING TERMS Table A1. Glossary of Traffic Engineering Terms Term Definition Analysis Network A graphical representation of the geometric topology of a physical roadway system, which is comprised of directional links and nodes.

Link A network link represents a specific, onedirectional section of roadway. A link has both physical (length, number of lanes, topology, etc.) and operational (turn movement percentages, service rate, freeflow speed) characteristics.

Measures of Effectiveness Statistics describing traffic operations on a roadway network.

Node A network node generally represents an intersection of network links. A node has control characteristics, i.e., the allocation of service time to each approach link.

Origin A location attached to a network link, within the EPZ or Shadow Region, where trips are generated at a specified rate in vehicles per hour (vph). These trips enter the roadway system to travel to their respective destinations.

Prevailing Roadway and Relates to the physical features of the roadway, the nature (e.g.,

Traffic Conditions composition) of traffic on the roadway and the ambient conditions (weather, visibility, pavement conditions, etc.).

Service Rate Maximum rate at which vehicles, executing a specific turn maneuver, can be discharged from a section of roadway at the prevailing conditions, expressed in vehicles per second (vps) or vehicles per hour (vph).

Service Volume Maximum number of vehicles which can pass over a section of roadway in one direction during a specified time period with operating conditions at a specified Level of Service (The Service Volume at the upper bound of Level of Service, E, equals Capacity).

Service Volume is usually expressed as vehicles per hour (vph).

Signal Cycle Length The total elapsed time to display all signal indications, in sequence.

The cycle length is expressed in seconds.

Signal Interval A single combination of signal indications. The interval duration is expressed in seconds. A signal phase is comprised of a sequence of signal intervals, usually green, yellow, red.

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Term Definition Signal Phase A set of signal indications (and intervals) which services a particular combination of traffic movements on selected approaches to the intersection. The phase duration is expressed in seconds.

Traffic (Trip) Assignment A process of assigning traffic to paths of travel in such a way as to satisfy all trip objectives (i.e., the desire of each vehicle to travel from a specified origin in the network to a specified destination) and to optimize some stated objective or combination of objectives. In general, the objective is stated in terms of minimizing a generalized "cost". For example, "cost" may be expressed in terms of travel time.

Traffic Density The number of vehicles that occupy one lane of a roadway section of specified length at a point in time, expressed as vehicles per mile (vpm).

Traffic (Trip) Distribution A process for determining the destinations of all traffic generated at the origins. The result often takes the form of a Trip Table, which is a matrix of origindestination traffic volumes.

Traffic Simulation A computer model designed to replicate the realworld operation of vehicles on a roadway network, so as to provide statistics describing traffic performance. These statistics are called Measures of Effectiveness.

Traffic Volume The number of vehicles that pass over a section of roadway in one direction, expressed in vehicles per hour (vph). Where applicable, traffic volume may be stratified by turn movement.

Travel Mode Distinguishes between private auto, bus, rail, pedestrian and air travel modes.

Trip Table or Origin A rectangular matrix or table, whose entries contain the number Destination Matrix of trips generated at each specified origin, during a specified time period, that are attracted to (and travel toward) each of its specified destinations. These values are expressed in vehicles per hour (vph) or in vehicles.

Turning Capacity The capacity associated with that component of the traffic stream which executes a specified turn maneuver from an approach at an intersection.

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APPENDIX B DTRAD: Dynamic Traffic Assignment and Distribution Model

B. DYNAMIC TRAFFIC ASSIGNMENT AND DISTRIBUTION MODEL This section describes the integrated dynamic trip assignment and distribution model named DTRAD (Dynamic Traffic Assignment and Distribution) that is expressly designed for use in analyzing evacuation scenarios. DTRAD employs logitbased pathchoice principles and is one of the models of the DYNEVII System. The DTRAD module implements pathbased Dynamic Traffic Assignment (DTA) so that time dependent OriginDestination (OD) trips are assigned to routes over the network based on prevailing traffic conditions.

To apply the DYNEV II System, the analyst must specify the highway network, link capacity information, the timevarying volume of traffic generated at all origin centroids and, optionally, a set of accessible candidate destination nodes on the periphery of the EPZ for selected origins.

DTRAD calculates the optimal dynamic trip distribution (i.e., trip destinations) and the optimal dynamic trip assignment (i.e., trip routing) of the traffic generated at each origin node traveling to its set of candidate destination nodes, so as to minimize evacuee travel cost.

Overview of Integrated Distribution and Assignment Model The underlying premise is that the selection of destinations and routes is intrinsically coupled in an evacuation scenario. That is, people in vehicles seek to travel out of an area of potential risk as rapidly as possible by selecting the best routes. The model is designed to identify these best routes in a manner that realistically distributes vehicles from origins to destinations and routes them over the highway network, in a consistent and optimal manner, reflecting evacuee behavior.

For each origin, a set of candidate destination nodes is selected by the software logic and by the analyst to reflect the desire by evacuees to travel away from the power plant and to access major highways. The specific destination nodeswithin this set that are selected by travelers and the selection of the connecting paths of travel, are both determined by DTRAD. This determination is made by a logitbased path choice model in DTRAD, so as to minimize the trip cost, as discussed later.

The traffic loading on the network and the consequent operational traffic environment of the network (density, speed, throughput on each link) vary over time as the evacuation takes place.

The DTRAD model, which is interfaced with the DYNEV simulation model, executes a succession of sessions wherein it computes the optimal routing and selection of destination nodes for the conditions that exist at that time.

Interfacing the DYNEV Simulation Model with DTRAD The DYNEV II system reflects NRC guidance that evacuees will seek to travel in a general direction away from the location of the hazardous event. An algorithm was developed to support the DTRAD model in dynamically varying the Trip Table (OD matrix) over time from one DTRAD session to the next. Another algorithm executes a mapping from the specified geometric network (linknode analysis network) that represents the physical highway system, to a path network that represents the vehicle [turn] movements. DTRAD computations are performed on the path network: DYNEV simulation model, on the geometric network.

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DTRAD Description DTRAD is the DTA module for the DYNEV II System.

When the road network under study is large, multiple routing options are usually available between trip origins and destinations. The problem of loading traffic demands and propagating them over the network links is called Network Loading and is addressed by DYNEVII using macroscopic traffic simulation modeling. Traffic assignment deals with computing the distribution of the traffic over the road network for given OD demands and is a model of the route choice of the drivers. Travel demand changes significantly over time, and the road network may have time dependent characteristics, e.g., timevarying signal timing or reduced road capacity because of lane closure, or traffic congestion. To consider these time dependencies, DTA procedures are required.

The DTRAD DTA module represents the dynamic route choice behavior of drivers, using the specification of dynamic origindestination matrices as flow input. Drivers choose their routes through the network based on the travel cost they experience (as determined by the simulation model). This allows traffic to be distributed over the network according to the timedependent conditions. The modeling principles of DTRAD include:

It is assumed that drivers not only select the best route (i.e., lowest cost path) but some also select less attractive routes. The algorithm implemented by DTRAD archives several efficient routes for each OD pair from which the drivers choose.

The choice of one route out of a set of possible routes is an outcome of discrete choice modeling. Given a set of routes and their generalized costs, the percentages of drivers that choose each route is computed. The most prevalent model for discrete choice modeling is the logit model. DTRAD uses a variant of PathSizeLogit model (PSL). PSL overcomes the drawback of the traditional multinomial logit model by incorporating an additional deterministic path size correction term to address path overlapping in the random utility expression.

DTRAD executes the TA algorithm on an abstract network representation called "the path network" which is built from the actual physical linknode analysis network. This execution continues until a stable situation is reached: the volumes and travel times on the edges of the path network do not change significantly from one iteration to the next. The criteria for this convergence are defined by the user.

Travel cost plays a crucial role in route choice. In DTRAD, path cost is a linear summation of the generalized cost of each link that comprises the path. The generalized cost for a link, a, is expressed as ca ta la sa ,

where ca is the generalized cost for link a, and , , and are cost coefficients for link travel time, distance, and supplemental cost, respectively. Distance and supplemental costs are defined as invariant properties of the network model, while travel time is a dynamic property dictated by prevailing traffic conditions. The DYNEV simulation model Diablo Canyon Power Plant B2 KLD Engineering, P.C.

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computes travel times on all edges in the network and DTRAD uses that information to constantly update the costs of paths. The route choice decision model in the next simulation iteration uses these updated values to adjust the route choice behavior. This way, traffic demands are dynamically reassigned based on time dependent conditions.

The interaction between the DTRAD traffic assignment and DYNEV II simulation models is depicted in Figure B1. Each round of interaction is called a Traffic Assignment Session (TA session). A TA session is composed of multiple iterations, marked as loop B in the figure.

The supplemental cost is based on the survival distribution (a variation of the exponential distribution).The Inverse Survival Function is a cost term in DTRAD to represent the potential risk of travel toward the plant:

sa = ln (p), 0 p l ; 0 p=

dn = Distance of node, n, from the plant d0 =Distance from the plant where there is zero risk

= Scaling factor The value of do = 20 miles, the outer distance of the shadow region. Note that the supplemental cost, sa, of link, a, is (high, low), if its downstream node, n, is (near, far from) the power plant.

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Network Equilibrium In 1952, John Wardrop wrote:

Under equilibrium conditions traffic arranges itself in congested networks in such a way that no individual tripmaker can reduce his path costs by switching routes.

The above statement describes the User Equilibrium definition, also called the Selfish Driver Equilibrium. It is a hypothesis that represents a [hopeful] condition that evolves over time as drivers search out alternative routes to identify those routes that minimize their respective costs. It has been found that this equilibrium objective to minimize costs is largely realized by most drivers who routinely take the same trip over the same network at the same time (i.e.,

commuters). Effectively, such drivers learn which routes are best for them over time. Thus, the traffic environment settles down to a nearequilibrium state.

Clearly, since an emergency evacuation is a sudden, unique event, it does not constitute a long term learning experience which can achieve an equilibrium state. Consequently, DTRAD was not designed as an equilibrium solution, but to represent drivers in a new and unfamiliar situation, who respond in a flexible manner to realtime information (either broadcast or observed) in such a way as to minimize their respective costs of travel.

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Start of next DTRAD Session A

Set T0 Clock time.

Archive System State at T0 Define latest Link Turn Percentages Execute Simulation Model from B time, T0 to T1 (burn time)

Provide DTRAD with link MOE at time, T1 Execute DTRAD iteration; Get new Turn Percentages Retrieve System State at T0 ;

Apply new Link Turn Percents DTRAD iteration converges?

No Yes Next iteration Simulate from T0 to T2 (DTA session duration)

Set Clock to T2 B A Figure B1. Flow Diagram of SimulationDTRAD Interface Diablo Canyon Power Plant B5 KLD Engineering, P.C.

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APPENDIX C DYNEV Traffic Simulation Model

C. DYNEV TRAFFIC SIMULATION MODEL The DYNEV traffic simulation model is a macroscopic model that describes the operations of traffic flow in terms of aggregate variables: vehicles, flow rate, mean speed, volume, density, queue length, on each link, for each turn movement, during each Time Interval (simulation time step). The model generates trips from sources and from Entry Links and introduces them onto the analysis network at rates specified by the analyst based on the mobilization time distributions. The model simulates the movements of all vehicles on all network links over time until the network is empty. At intervals, the model outputs Measures of Effectiveness (MOE) such as those listed in Table C1.

Model Features Include:

Explicit consideration is taken of the variation in density over the time step; an iterative procedure is employed to calculate an average density over the simulation time step for the purpose of computing a mean speed for moving vehicles.

Multiple turn movements can be serviced on one link; a separate algorithm is used to estimate the number of (fractional) lanes assigned to the vehicles performing each turn movement, based, in part, on the turn percentages provided by the DTRAD model.

At any point in time, traffic flow on a link is subdivided into two classifications: queued and moving vehicles. The number of vehicles in each classification is computed. Vehicle spillback, stratified by turn movement for each network link, is explicitly considered and quantified. The propagation of stopping waves from link to link is computed within each time step of the simulation. There is no vertical stacking of queues on a link.

Any link can accommodate source flow from zones via side streets and parking facilities that are not explicitly represented. This flow represents the evacuating trips that are generated at the source.

The relation between the number of vehicles occupying the link and its storage capacity is monitored every time step for every link and for every turn movement. If the available storage capacity on a link is exceeded by the demand for service, then the simulator applies a metering rate to the entering traffic from both the upstream feeders and source node to ensure that the available storage capacity is not exceeded.

A path network that represents the specified traffic movements from each network link is constructed by the model; this path network is utilized by the DTRAD model.

A twoway interface with DTRAD: (1) provides link travel times; (2) receives data that translates into link turn percentages.

Provides MOE to animation software, EVAN Calculates ETE statistics Diablo Canyon Power Plant C1 KLD Engineering, P.C.

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All traffic simulation models are dataintensive. Table C2 outlines the necessary input data elements.

To provide an efficient framework for defining these specifications, the physical highway environment is represented as a network. The unidirectional links of the network represent roadway sections: rural, multilane, urban streets or freeways. The nodes of the network generally represent intersections or points along a section where a geometric property changes (e.g. a lane drop, change in grade or free flow speed).

Figure C1 is an example of a small network representation. The freeway is defined by the sequence of links, (20,21), (21,22), and (22,23). Links (8001, 19) and (3, 8011) are Entry and Exit links, respectively. An arterial extends from node 3 to node 19 and is partially subsumed within a grid network. Note that links (21,22) and (17,19) are gradeseparated.

Table C1. Selected Measures of Effectiveness Output by DYNEV II Measure Units Applies To Vehicles Discharged Vehicles Link, Network, Exit Link Speed Miles/Hours (mph) Link, Network Density Vehicles/Mile/Lane Link Level of Service LOS Link Content Vehicles Network Travel Time Vehiclehours Network Evacuated Vehicles Vehicles Network, Exit Link Trip Travel Time Vehicleminutes/trip Network Capacity Utilization Percent Exit Link Attraction Percent of total evacuating vehicles Exit Link Max Queue Vehicles Node, Approach Time of Max Queue Hours:minutes Node, Approach Length (mi); Mean Speed (mph); Travel Route Statistics Route Time (min)

Mean Travel Time Minutes Evacuation Trips; Network Diablo Canyon Power Plant C2 KLD Engineering, P.C.

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Table C2. Input Requirements for the DYNEV II Model HIGHWAY NETWORK Links defined by upstream and downstream node numbers Link lengths Number of lanes (up to 9) and channelization Turn bays (1 to 3 lanes)

Destination (exit) nodes Network topology defined in terms of downstream nodes for each receiving link Node Coordinates (X,Y)

Nuclear Power Plant Coordinates (X,Y)

GENERATED TRAFFIC VOLUMES On all entry links and source nodes (origins), by Time Period TRAFFIC CONTROL SPECIFICATIONS Traffic signals: linkspecific, turn movement specific Signal control treated as fixed time or actuated Location of traffic control points (these are represented as actuated signals)

Stop and Yield signs Rightturnonred (RTOR)

Route diversion specifications Turn restrictions Lane control (e.g. lane closure, movementspecific)

DRIVERS AND OPERATIONAL CHARACTERISTICS Drivers (vehiclespecific) response mechanisms: freeflow speed, discharge headway Bus route designation.

DYNAMIC TRAFFIC ASSIGNMENT Candidate destination nodes for each origin (optional)

Duration of DTA sessions Duration of simulation burn time Desired number of destination nodes per origin INCIDENTS Identify and Schedule of closed lanes Identify and Schedule of closed links Diablo Canyon Power Plant C3 KLD Engineering, P.C.

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8011 8009 2 3 8104 8107 6 5 8008 8010 8 9 10 8007 8012 12 11 8006 8005 13 14 8014 15 25 8004 16 24 8024 17 8003 23 22 21 20 8002 Entry, Exit Nodes are 19 numbered 8xxx 8001 Figure C1. Representative Analysis Network Diablo Canyon Power Plant C4 KLD Engineering, P.C.

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C.1 Methodology C.1.1 The Fundamental Diagram It is necessary to define the fundamental diagram describing flowdensity and speeddensity relationships. Rather than settling for a triangular representation, a more realistic representation that includes a capacity drop, (IR)Qmax, at the critical density when flow conditions enter the forced flow regime, is developed and calibrated for each link. This representation, shown in Figure C2, asserts a constant free speed up to a density, k , and then a linear reduction in speed in the range, k k k 45 vpm, the density at capacity. In the flowdensity plane, a quadratic relationship is prescribed in the range, k k 95 vpm which roughly represents the stopandgo condition of severe congestion. The value of flow rate, Q , corresponding to k , is approximated at 0.7 RQ . A linear relationship between k and k completes the diagram shown in Figure C2. Table C3 is a glossary of terms.

The fundamental diagram is applied to moving traffic on every link. The specified calibration values for each link are: (1) Free speed, v ; (2) Capacity, Q  ; (3) Critical density, k 45 vpm ; (4) Capacity Drop Factor, R = 0.9 ; (5) Jam density, k . Then, v , k k

. Setting k k k , then Q RQ k for 0 k k 50 . It can be shown that Q 0.98 0.0056 k RQ for k k k , where k 50 and k 175.

C.1.2 The Simulation Model The simulation model solves a sequence of unit problems. Each unit problem computes the movement of traffic on a link, for each specified turn movement, over a specified time interval (TI) which serves as the simulation time step for all links. Figure C3 is a representation of the unit problem in the timedistance plane. Table C3 is a glossary of terms that are referenced in the following description of the unit problem procedure.

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Volume, vph Capacity Drop Qmax R Qmax Qs Density, vpm Flow Regimes Speed, mph Free Forced vf R vc Density, vpm kf kc kj ks Figure C2. Fundamental Diagrams Diablo Canyon Power Plant C6 KLD Engineering, P.C.

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Distance OQ OM OE Down Qb vQ Qe v

v L

Mb Me Up t1 t2 Time E1 E2 TI Figure C3. A UNIT Problem Configuration with t1 > 0 Diablo Canyon Power Plant C7 KLD Engineering, P.C.

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Table C3. Glossary The maximum number of vehicles, of a particular movement, that can discharge Cap from a link within a time interval.

The number of vehicles, of a particular movement, that enter the link over the E

time interval. The portion, ETI, can reach the stopbar within the TI.

The green time: cycle time ratio that services the vehicles of a particular turn G/C movement on a link.

h The mean queue discharge headway, seconds.

k Density in vehicles per lane per mile.

The average density of moving vehicles of a particular movement over a TI, on a k

link.

L The length of the link in feet.

The queue length in feet of a particular movement, at the [beginning, end] of a L ,L time interval.

The number of lanes, expressed as a floating point number, allocated to service a LN particular movement on a link.

L The mean effective length of a queued vehicle including the vehicle spacing, feet.

M Metering factor (Multiplier): 1.

The number of moving vehicles on the link, of a particular movement, that are M ,M moving at the [beginning, end] of the time interval. These vehicles are assumed to be of equal spacing, over the length of link upstream of the queue.

The total number of vehicles of a particular movement that are discharged from a O

link over a time interval.

The components of the vehicles of a particular movement that are discharged from a link within a time interval: vehicles that were Queued at the beginning of O ,O ,O the TI; vehicles that were Moving within the link at the beginning of the TI; vehicles that Entered the link during the TI.

The percentage, expressed as a fraction, of the total flow on the link that P

executes a particular turn movement, x.

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The number of queued vehicles on the link, of a particular turn movement, at the Q ,Q

[beginning, end] of the time interval.

The maximum flow rate that can be serviced by a link for a particular movement Q in the absence of a control device. It is specified by the analyst as an estimate of link capacity, based upon a field survey, with reference to the HCM.

R The factor that is applied to the capacity of a link to represent the capacity drop when the flow condition moves into the forced flow regime. The lower capacity at that point is equal to RQ .

RCap The remaining capacity available to service vehicles of a particular movement after that queue has been completely serviced, within a time interval, expressed as vehicles.

S Service rate for movement x, vehicles per hour (vph).

t Vehicles of a particular turn movement that enter a link over the first t seconds of a time interval, can reach the stopbar (in the absence of a queue down stream) within the same time interval.

TI The time interval, in seconds, which is used as the simulation time step.

v The mean speed of travel, in feet per second (fps) or miles per hour (mph), of moving vehicles on the link.

v The mean speed of the last vehicle in a queue that discharges from the link within the TI. This speed differs from the mean speed of moving vehicles, v.

W The width of the intersection in feet. This is the difference between the link length which extends from stopbar to stopbar and the block length.

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The formulation and the associated logic presented below are designed to solve the unit problem for each sweep over the network (discussed below), for each turn movement serviced on each link that comprises the evacuation network, and for each TI over the duration of the evacuation.

Given Q , M , L , TI , E , LN , G C , h , L , R , L , E , M Compute O , Q , M Define O O O O ; E E E

1. For the first sweep, s = 1, of this TI, get initial estimates of mean density, k , the R - factor, R and entering traffic, E , using the values computed for the final sweep of the prior TI.

For each subsequent sweep, s 1 , calculate E P O S where P , O are the relevant turn percentages from feeder link, i , and its total outflow (possibly metered) over this TI; S is the total source flow (possibly metered) during the current TI.

Set iteration counter, n = 0, k k , and E E .

2. Calculate v k such that k 130 using the analytical representations of the fundamental diagram.

Q TI G Calculate Cap 3600 C LN , in vehicles, this value may be reduced due to metering Set R 1.0 if G C 1 or if k k ; Set R 0.9 only if G C 1 and k k L

Calculate queue length, L Q LN

3. Calculate t TI . If t 0 , set t E O 0 ; Else, E E .

4. Then E E E ; t TI t

5. If Q Cap , then O Cap , O O 0 If t 0 , then Q Q M E Cap Else Q Q Cap End if Calculate Q and M using Algorithm A below

6. Else Q Cap O Q , RCap Cap O

7. If M RCap , then Diablo Canyon Power Plant C10 KLD Engineering, P.C.

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t Cap

8. If t 0, O M ,O min RCap M , 0 TI Q E O If Q 0 , then Calculate Q , M with Algorithm A Else Q 0, M E End if Else t 0 O M and O 0 M M O E; Q 0 End if

9. Else M O 0 If t 0 , then O RCap , Q M O E Calculate Q and M using Algorithm A

10. Else t 0 M M If M ,

O RCap Q M O Apply Algorithm A to calculate Q and M Else O M M M O E and Q 0 End if End if End if End if

11. Calculate a new estimate of average density, k k 2k k ,

where k = density at the beginning of the TI k = density at the end of the TI k = density at the midpoint of the TI All values of density apply only to the moving vehicles.

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12. set n n 1 , and return to step 2 to perform iteration, n, using k k .

End if Computation of unit problem is now complete. Check for excessive inflow causing spillback.

13. If Q M , then The number of excess vehicles that cause spillback is: SB Q M ,

where W is the width of the upstream intersection. To prevent spillback, meter the outflow from the feeder approaches and from the source flow, S, during this TI by the amount, SB. That is, set SB M 1 0 , where M is the metering factor over all movements .

E S This metering factor is assigned appropriately to all feeder links and to the source flow, to be applied during the next network sweep, discussed later.

Algorithm A This analysis addresses the flow environment over a TI during which moving vehicles can join a standing or discharging queue. For the case Qb vQ shown, Q Cap, with t 0 and a queue of Qe Qe length, Q , formed by that portion of M and E that reaches the stopbar within the TI, but could v not discharge due to inadequate capacity. That is, Mb Q M E . This queue length, v Q Q M E Cap can be extended to Q L3 by traffic entering the approach during the current TI, traveling at speed, v, and reaching the rear of the t1 t3 queue within the TI. A portion of the entering TI vehicles, E E , will likely join the queue. This analysis calculates t , Q and M for the input values of L, TI, v, E, t, L , LN, Q .

When t 0 and Q Cap:

L L Define: L Q . From the sketch, L v TI t t L Q E .

LN LN Substituting E E yields: vt E L v TI t L . Recognizing that the first two terms on the right hand side cancel, solve for t to obtain:

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L t such that 0 t TI t E L v

TI LN If the denominator, v 0, set t TI t .

t t t Then, Q Q E , M E 1 TI TI The complete Algorithm A considers all flow scenarios; space limitation precludes its inclusion, here.

C.1.3 Lane Assignment The unit problem is solved for each turn movement on each link. Therefore it is necessary to calculate a value, LN , of allocated lanes for each movement, x. If in fact all lanes are specified by, say, arrows painted on the pavement, either as full lanes or as lanes within a turn bay, then the problem is fully defined. If however there remain unchannelized lanes on a link, then an analysis is undertaken to subdivide the number of these physical lanes into turn movement specific virtual lanes, LNx.

C.2 Implementation C.2.1 Computational Procedure The computational procedure for this model is shown in the form of a flow diagram as Figure C4. As discussed earlier, the simulation model processes traffic flow for each link independently over TI that the analyst specifies; it is usually 60 seconds or longer. The first step is to execute an algorithm to define the sequence in which the network links are processed so that as many links as possible are processed after their feeder links are processed, within the same network sweep. Since a general network will have many closed loops, it is not possible to guarantee that every link processed will have all of its feeder links processed earlier.

The processing then continues as a succession of time steps of duration, TI, until the simulation is completed. Within each time step, the processing performs a series of sweeps over all network links; this is necessary to ensure that the traffic flow is synchronous over the entire network. Specifically, the sweep ensures continuity of flow among all the network links; in the context of this model, this means that the values of E, M, and S are all defined for each link such that they represent the synchronous movement of traffic from each link to all of its outbound links. These sweeps also serve to compute the metering rates that control spillback.

Within each sweep, processing solves the unit problem for each turn movement on each link.

With the turn movement percentages for each link provided by the DTRAD model, an algorithm Diablo Canyon Power Plant C13 KLD Engineering, P.C.

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allocates the number of lanes to each movement serviced on each link. The timing at a signal, if any, applied at the downstream end of the link, is expressed as a G/C ratio, the signal timing needed to define this ratio is an input requirement for the model. The model also has the capability of representing, with macroscopic fidelity, the actions of actuated signals responding to the timevarying competing demands on the approaches to the intersection.

The solution of the unit problem yields the values of the number of vehicles, O, that discharge from the link over the time interval and the number of vehicles that remain on the link at the end of the time interval as stratified by queued and moving vehicles: Q and M . The procedure considers each movement separately (multipiping). After all network links are processed for a given network sweep, the updated consistent values of entering flows, E; metering rates, M; and source flows, S are defined so as to satisfy the no spillback condition.

The procedure then performs the unit problem solutions for all network links during the following sweep.

Experience has shown that the system converges (i.e. the values of E, M and S settle down for all network links) in just two sweeps if the network is entirely undersaturated or in four sweeps in the presence of extensive congestion with link spillback. (The initial sweep over each link uses the final values of E and M, of the prior TI). At the completion of the final sweep for a TI, the procedure computes and stores all measures of effectiveness for each link and turn movement for output purposes. It then prepares for the following time interval by defining the values of Q and M for the start of the next TI as being those values of Q and M at the end of the prior TI. In this manner, the simulation model processes the traffic flow over time until the end of the run. Note that there is no spacediscretization other than the specification of network links.

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Sequence Network Links Next Timestep, of duration, TI A

Next sweep; Define E, M, S for all B

Links C Next Link D Next Turn Movement, x Get lanes, LNx Service Rate, Sx ; G/Cx Get inputs to Unit Problem:

Q b , Mb , E Solve Unit Problem: Q e , Me , O No D Last Movement ?

Yes No Last Link ? C Yes No B Last Sweep ?

Yes Calc., store all Link MOE Set up next TI :

No A Last Time - step ?

Yes DONE Figure C4. Flow of Simulation Processing (See Glossary: Table C3)

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C.2.2 Interfacing with Dynamic Traffic Assignment (DTRAD)

The DYNEV II system reflects NRC guidance that evacuees will seek to travel in a general direction away from the location of the hazardous event. Thus, an algorithm was developed to identify an appropriate set of destination nodes for each origin based on its location and on the expected direction of travel. This algorithm also supports the DTRAD model in dynamically varying the Trip Table (OD matrix) over time from one DTRAD session to the next.

Figure B1 depicts the interaction of the simulation model with the DTRAD model in the DYNEV II system. As indicated, DYNEV II performs a succession of DTRAD sessions; each such session computes the turn link percentages for each link that remain constant for the session duration, T , T , specified by the analyst. The end product is the assignment of traffic volumes from each origin to paths connecting it with its destinations in such a way as to minimize the networkwide cost function. The output of the DTRAD model is a set of updated link turn percentages which represent this assignment of traffic.

As indicated in Figure B1, the simulation model supports the DTRAD session by providing it with operational link MOE that are needed by the path choice model and included in the DTRAD cost function. These MOE represent the operational state of the network at a time, T T , which lies within the session duration, T , T . This burn time, T T , is selected by the analyst. For each DTRAD iteration, the simulation model computes the change in network operations over this burn time using the latest set of link turn percentages computed by the DTRAD model. Upon convergence of the DTRAD iterative procedure, the simulation model accepts the latest turn percentages provided by the DTA model, returns to the origin time, T , and executes until it arrives at the end of the DTRAD session duration at time, T . At this time the next DTA session is launched and the whole process repeats until the end of the DYNEV II run.

Additional details are presented in Appendix B.

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APPENDIX D Detailed Description of Study Procedure

D. DETAILED DESCRIPTION OF STUDY PROCEDURE This appendix describes the activities that were performed to compute Evacuation Time Estimates. The individual steps of this effort are represented as a flow diagram in Figure D1.

Each numbered step in the description that follows corresponds to the numbered element in the flow diagram.

Step 1 The first activity was to obtain EPZ boundary information and create a GIS base map. The base map extends beyond the Shadow Region which extends approximately 5 miles (radially) beyond the EPZ boundary. The base map incorporates the local roadway topology, a suitable topographic background and the EPZ and PAZ boundaries.

Step 2 2010 Census block information was obtained in GIS format. This information was used to estimate the resident population within the EPZ and Shadow Region and to define the spatial distribution and demographic characteristics of the population within the study area. Employee data were estimated using the U.S. Census Bureaus Longitudinal EmployerHousehold Dynamics interactive website1, and from data provided by PG&E. Transient data were obtained from the San Luis Obispo County Office of Emergency Services and from phone calls to transient attractions. Information concerning schools, medical and other types of special facilities within the EPZ was obtained from various county agencies.

Step 3 A kickoff meeting was conducted with major stakeholders (county emergency managers, on site and offsite utility emergency managers, local and state law enforcement agencies). The purpose of the kickoff meeting was to present an overview of the work effort, identify key agency personnel, and indicate the data requirements for the study. Specific requests for information were presented to the county. Unique features of the study area were discussed to identify the local concerns that should be addressed by the ETE study.

Step 4 Next, a physical survey of the roadway system in the study area was conducted to determine the geometric properties of the highway sections, the channelization of lanes on each section of roadway, whether there are any turn restrictions or special treatment of traffic at intersections, the type and functioning of traffic control devices, gathering signal timings for pretimed traffic signals, and to make the necessary observations needed to estimate realistic values of roadway capacity.

Step 5 1

http://lehd.did.census.gov/led/

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A telephone survey of households within the EPZ was conducted to identify household dynamics, trip generation characteristics, and evacuationrelated demographic information of the EPZ population. This information was used to determine important study factors including the average number of evacuating vehicles used by each household, and the time required to perform preevacuation mobilization activities.

Step 6 A computerized representation of the physical roadway system, called a linknode analysis network, was developed using the UNITES software developed by KLD. Once the geometry of the network was completed, the network was calibrated using the information gathered during the road survey (Step 4). Estimates of highway capacity for each link and other linkspecific characteristics were introduced to the network description. Traffic signal timings were input accordingly. The linknode analysis network was imported into a GIS map. 2010 Census data were overlaid in the map, and origin centroids where trips would be generated during the evacuation process were assigned to appropriate links.

Step 7 The EPZ is subdivided into 12 PAZs. Based on wind direction and speed, Regions (groupings of PAZ) that may be advised to evacuate, were developed.

The need for evacuation can occur over a range of timeofday, dayofweek, seasonal and weatherrelated conditions. Scenarios were developed to capture the variation in evacuation demand, highway capacity and mobilization time, for different time of day, day of the week, time of year, and weather conditions.

Step 8 The input stream for the DYNEV II model, which integrates the dynamic traffic assignment and distribution model, DTRAD, with the evacuation simulation model, was created for a prototype evacuation case - the evacuation of the entire EPZ for a representative scenario.

Step 9 After creating this input stream, the DYNEV II System was executed on the prototype evacuation case to compute evacuating traffic routing patterns consistent with the appropriate NRC guidelines. DYNEV II contains an extensive suite of data diagnostics which check the completeness and consistency of the input data specified. The analyst reviews all warning and error messages produced by the model and then corrects the database to create an input stream that properly executes to completion.

The model assigns destinations to all origin centroids consistent with a (general) radial evacuation of the EPZ and Shadow Region. The analyst may optionally supplement and/or replace these modelassigned destinations, based on professional judgment, after studying the topology of the analysis highway network. The model produces link and networkwide measures of effectiveness as well as estimates of evacuation time.

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The results generated by the prototype evacuation case are critically examined. The examination includes observing the animated graphics (using the EVAN software which operates on data produced by DYNEV II) and reviewing the statistics output by the model. This is a laborintensive activity, requiring the direct participation of skilled engineers who possess the necessary practical experience to interpret the results and to determine the causes of any problems reflected in the results.

Essentially, the approach is to identify those bottlenecks in the network that represent locations where congested conditions are pronounced and to identify the cause of this congestion. This cause can take many forms, either as excess demand due to high rates of trip generation, improper routing, a shortfall of capacity, or as a quantitative flaw in the way the physical system was represented in the input stream. This examination leads to one of two conclusions:

The results are satisfactory; or The input stream must be modified accordingly.

This decision requires, of course, the application of the user's judgment and experience based upon the results obtained in previous applications of the model and a comparison of the results of the latest prototype evacuation case iteration with the previous ones. If the results are satisfactory in the opinion of the user, then the process continues with Step 13. Otherwise, proceed to Step 11.

Step 11 There are many "treatments" available to the user in resolving apparent problems. These treatments range from decisions to reroute the traffic by assigning additional evacuation destinations for one or more sources, imposing turn restrictions where they can produce significant improvements in capacity, changing the control treatment at critical intersections so as to provide improved service for one or more movements, or in prescribing specific treatments for channelizing the flow so as to expedite the movement of traffic along major roadway systems. Such "treatments" take the form of modifications to the original prototype evacuation case input stream. All treatments are designed to improve the representation of evacuation behavior.

Step 12 As noted above, the changes to the input stream must be implemented to reflect the modifications undertaken in Step 11. At the completion of this activity, the process returns to Step 9 where the DYNEV II System is again executed.

Step 13 Evacuation of transitdependent evacuees and special facilities are included in the evacuation analysis. Fixed routing for transit buses and for school buses, ambulances, and other transit vehicles are introduced into the final prototype evacuation case data set. DYNEV II generates routespecific speeds over time for use in the estimation of evacuation times for the transit dependent and special facility population groups.

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Step 14 The prototype evacuation case was used as the basis for generating all region and scenario specific evacuation cases to be simulated. This process was automated through the UNITES user interface. For each specific case, the population to be evacuated, the trip generation distributions, the highway capacity and speeds, and other factors are adjusted to produce a customized casespecific data set.

Step 15 All evacuation cases are executed using the DYNEV II System to compute ETE. Once results were available, quality control procedures were used to assure the results were consistent, dynamic routing was reasonable, and traffic congestion/bottlenecks were addressed properly.

Step 16 Once vehicular evacuation results are accepted, average travel speeds for transit and special facility routes were used to compute evacuation time estimates for transitdependent permanent residents, schools, hospitals, and other special facilities.

Step 17 The simulation results are analyzed, tabulated and graphed. The results were then documented, as required by NUREG/CR7002.

Step 18 Following the completion of documentation activities, the ETE criteria checklist (see Appendix O) was completed. An appropriate report reference is provided for each criterion provided in the checklist.

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A Step 1 Step 10 Create GIS Base Map Examine Results of Prototype Evacuation Case using EVAN and DYNEV II Output Step 2 Gather Census Block and Demographic Data for Results Satisfactory Study Area Step 11 Step 3 Modify Evacuation Destinations and/or Develop Conduct Kickoff Meeting with Stakeholders Traffic Control Treatments Step 4 Step 12 Field Survey of Roadways within Study Area Modify Database to Reflect Changes to Prototype Evacuation Case Step 5 Conduct Telephone Survey and Develop Trip Generation Characteristics B

Step 13 Step 6 Establish Transit and Special Facility Evacuation Create and Calibrate LinkNode Analysis Network Routes and Update DYNEV II Database Step 14 Step 7 Generate DYNEV II Input Streams for All Evacuation Cases Develop Evacuation Regions and Scenarios Step 15 Step 8 Execute DYNEV II to Compute ETE for All Create and Debug DYNEV II Input Stream Evacuation Cases Step 16 Step 9 Use DYNEV II Average Speed Output to Compute ETE for Transit and Special Facility Routes B Execute DYNEV II for Prototype Evacuation Case Step 17 Documentation A Step 18 Complete ETE Criteria Checklist Figure D1. Flow Diagram of Activities Diablo Canyon Power Plant D5 KLD Engineering, P.C.

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APPENDIX E Special Facility Data

E. SPECIAL FACILITY DATA The following tables list population information, as of January 2012, for special facilities that are located within the DCPP EPZ. Special facilities are defined as schools, hospitals and other medical care facilities, and correctional facilities. Transient population data is included in the tables for recreational areas and lodging facilities. Employment data is included in the tables for major employers. Each table is grouped by county. The location of the facility is defined by its straightline distance (miles) and direction (magnetic bearing) from the center point of the plant. Maps of each school, medical facility, recreational area, lodging facility, and correctional facilities are also provided.

Figure E20 through Figure E30 display the facilities within each PAZ. PAZs 4 and 7 have no special facilities and were therefore not displayed.

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Table E1. Schools within the EPZ Distance Dire Enroll PAZ (miles) ction School Name Street Address Municipality Phone ment Staff BellevueSanta Fe Charter 3 8.0 E School 1401 San Luis Bay Dr San Luis Obispo 146 15 5 8.0 N Baywood Elementary School 1330 9th Street Baywood 455 53 5 6.7 N Heartland Christian Academy 1480 Santa Ysabel Ave Los Osos 29 7 5 8.1 NNE Los Osos Middle School 1555 El Moro St Los Osos 369 37 5 7.9 N Manzanita School 1443 9th Street Los Osos (805) 5414012 24 Monarch Grove Elementary 5 7.0 N School 348 Los Osos Valley Road Baywood 320 33 Sonshine Preschool, 5 6.9 NNE Kindergarten, and Afterschool 1900 Los Osos Valley Road Los Osos (805) 5281547 37 5 6.8 N Sunnyside Elementary School BaywoodLos Osos (805) 5281820 302 6 13.0 ESE Judkins Middle School 680 Wadsworth Street Pismo Beach 529 45 6 10.6 ESE Shell Beach Elementary School 2100 Shell Beach Rd Pismo Beach 405 31 8 11.3 ENE Bishop Peak Elementary School 451 Jaycee Drive San Luis Obispo 320 20 8 10.0 ENE C. L. Smith Elementary School 1375 Balboa 410 68 California Polytechnic State 8 12.6 ENE University 1 Grand Ave San Luis Obispo (805) 7561111 18,762 252 Charles E. Teach Elementary 8 11.3 ENE School 451 Jaycee Drive San Luis Obispo 151 15 8 12.0 ENE Christian Day School 2075 Johnson Ave San Luis Obispo (805) 5431146 45 5 8 9.6 ENE Discovery House Montessori 11245 Los Osos Valley Road San Luis Obispo (805) 5401581 16 Camp San Luis Obispo 8 10.4 NE Grizzly Challenge Charter School (CNG) Hwy 1 San Luis Obispo 225 20 8 11.8 ENE Hawthorne Elementary School 2125 Story St. 345 42 Juvenile Court Community 8 10.5 NE School 1065 Kansas Ave San Luis Obispo 35 4 8 9.6 ENE Laguna Middle School 11050 Los Osos Valley Road San Luis Obispo 678 63 8 9.8 ENE Laureate Private School 880 Laureate Lane San Luis Obispo 169 33 8 11.1 ENE Laurus College 81 Higuera Street Ste 110 (805) 2671690 354 8 10.2 E Liberty Christian School 4280 South Higuera Street San Luis Obispo (805) 5434187 13 8 13.2 E Los Ranchos Elementary School 5785 Los Ranchos Rd 452 38 Diablo Canyon Power Plant E2 KLD Engineering, P.C.

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Distance Dire Enroll PAZ (miles) ction School Name Street Address Municipality Phone ment Staff 8 11.7 ENE Mission College Prep 682 Palm San Luis Obispo 290 43 8 10.2 E Montessori Children's School 4200 S Higuera St San Luis Obispo 94 10 8 11.7 ENE Old Mission School 761 Broad Street San Luis Obispo 299 27 8 12.7 ENE Olive Grove Charter School 165 Grand Ave San Luis Obispo 75 4 8 11.7 ENE Pacheco Elementary School 261 Cuesta Drive San Luis Obispo 505 54 8 9.9 ENE Pacific Beach High School 11950 Los Osos Valley Road San Luis Obispo 71 8 8 12.7 ENE San Luis Classical Academy 165 Grand Ave San Luis Obispo 125 25 8 10.0 ENE San Luis Community School 1981 Vicente Dr San Luis Obispo 50 10 8 12.5 ENE San Luis Obispo Christian School 2075 Johnson Avenue San Luis Obispo 46 7 8 12.6 ENE San Luis Obispo High School 1499 San Luis Drive San Luis Obispo 1,447 123 8 12.5 ENE Sinsheimer Elementary School 2755 Augusta San Luis Obispo 380 37 8 11.9 ENE The Pinehurst Academy 893 Marsh Street San Luis Obispo (805) 2356112 6 8 12.2 E University of La Verne Central 4119 Broad St # 200 San Luis Obispo (805) 5429690 1,896 173 9 16.8 N Cayucos Elementary School 301 Cayucos Drive Cayucos 220 30 9 12.7 N Del Mar Elementary School 501 Sequoia Morro Bay 465 47 9 11.1 NE Loma Vista Community School 2494 Pennington Creek Rd San Luis Obispo 90 20 9 11.8 N Morro Bay High School 235 Atascadero Rd Morro Bay 848 82 Rancho El Chorro Environmental 9 10.5 NE Education School 3350 Education Dr San Luis Obispo 160 15 10 16.3 ESE Arroyo Grande Montessori 216 Oak Street Arroyo Grande 18 5 10 16.9 ESE Arroyo Grande High School 495 Valley Road Arroyo Grande 2,174 156 10 17.2 ESE Coastal Christian High School 1220 Farroll Ave Arroyo Grande 182 25 10 13.9 ESE Cuesta College N Hwy 1 San Luis Obispo 10,920 10 15.0 ESE Dandy Lion Montessori School 1089 Baden Avenue Grover Beach 50 10 15.8 ESE Fairgrove Elementary School 2101 The Pike Grover Beach 462 41 10 14.8 ESE Grover Beach Elementary School 365 South 10th Street Grover Beach 506 47 Grover Heights Elementary 10 14.5 ESE School 770 North 8th Street Grover Beach 439 38 10 16.4 ESE Harloe Elementary School 901 Fair Oaks Ave Arroyo Grande 632 45 10 16.8 ESE Lighthouse Christian School 497 Fair Oaks Ave Arroyo Grande 35 8 10 15.8 ESE Lopez Continuation High School Arroyo Grande 190 Diablo Canyon Power Plant E3 KLD Engineering, P.C.

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Distance Dire Enroll PAZ (miles) ction School Name Street Address Municipality Phone ment Staff North Oceano Elementary 10 15.8 ESE School Grover Beach 346 10 15.7 ESE Ocean View Elementary School 1208 Linda Dr Arroyo Grande 558 50 10 15.7 ESE Oceano Elementary School 1551 17th Street Oceano 465 37 10 17.1 ESE Paulding Middle School 600 Crown Hill Arroyo Grande 656 44 10 15.2 ESE Peace Christian School 244 Oak Park Boulevard Arroyo Grande (805) 4899644 60 10 15.1 ESE Royal Oaks Christian School 900 Oak Park Boulevard Arroyo Grande 125 12 10 16.0 ESE Saint Patrick's School 900 W. Branch Arroyo Grande 275 30 10 16.5 ESE Valley View Adventist Academy 230 Vernon Street Arroyo Grande 66 10 11 19.2 ESE Branch Elementary School 970 School Road Arroyo Grande 304 18 12 17.8 SE Lopez High School 1055 Mesa View Drive Arroyo Grande 137 18 12 18.1 ESE Mesa Middle School 2555 Halcyon Road Arroyo Grande 525 47 12 17.9 SE Mesa View Community School 1065 Mesa View Dr Arroyo Grande 80 15 TOTAL: 50,863 2,142 Diablo Canyon Power Plant E4 KLD Engineering, P.C.

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Table E2. Medical Facilities within the EPZ Ambul Wheel Bed Distance Dire Current atory chair ridden PAZ (miles) ction Facility Name Street Address Municipality Phone Census Patients Patients Patients 5 7.8 NNE Bay Osos RCFE I 1663 13th St BaywoodLos Osos (805) 7722244 6 5 1 0 5 7.8 NNE Bay Osos RCFE II 1675 13th St Los Osos (805) 7725641 6 5 1 0 5 7.0 N Bay Osos RCFE III 2393 Clelland Ave Los Osos (805) 7722700 6 5 1 0 Baywood Manor 1090 Paso Robles 5 8.0 NNE Residential Care Avenue Los Osos (805) 7727740 6 5 1 0 Baywood Manor 1090 Paso Robles 5 8.0 NNE Residential Care II Avenue Los Osos (805) 7732403 6 5 1 0 Caluya's Residential 5 8.1 NNE Care 1415 16th St Los Osos (805) 7723333 4 3 1 0 Caluya's Residential 5 8.5 NNE Care II 1160 15th St Los Osos (805) 7721235 4 3 1 0 517 Los Osos Valley 5 7.0 N JAJ Residential Care Road Los Osos (866) 7377367 6 5 1 0 5 7.9 NNE JAJ Residential Care II 1631 17th St Los Osos (805) 7731080 6 5 1 0 Los Osos Residential 5 7.8 NNE Care 1667 18th Street Los Osos (805) 5499911 6 5 1 0 Los Osos Residential 5 7.0 N Care II 2280 Inyo St Los Osos (805) 7734706 6 5 1 0 M&L South Bay 1820 Mountain View 5 7.6 NNE MaxiCare Dr Los Osos (805) 7724435 6 5 1 0 Orchid Garden 5 8.1 NNE Residential Care 1457 18th Street Los Osos (805) 7725609 4 3 1 0 Pacific Heights 5 6.9 N Residential Home 781 Lilac Dr Los Osos (805) 7722711 5 4 1 0 5 7.9 NNE Rose Garden 1557 16th St Los Osos (805) 7727317 6 5 1 0 5 6.8 N Rose Garden II 709 Mar Vista Dr Los Osos (805) 5440973 5 4 1 0 Sachele Senior Guest 5 7.6 N Home III LLC 1758 7th St Los Osos (805) 7722248 6 5 1 0 5 6.8 NNE Sea Gardens 923 Highland Dr BaywoodLos Osos (805) 2691300 6 5 1 0 5 8.1 NNE Southbay Maxi Care 1410 13th Street Los Osos (805) 7735505 6 5 1 0 Diablo Canyon Power Plant E5 KLD Engineering, P.C.

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Ambul Wheel Bed Distance Dire Current atory chair ridden PAZ (miles) ction Facility Name Street Address Municipality Phone Census Patients Patients Patients 5 6.9 N Sunrise RCFE 725 Manzanita Dr Los Osos (805) 7737476 6 5 1 0 5 7.2 N Sunrise V 2117 Del Norte St Los Osos (805) 5442040 6 5 1 0 5 8.0 NNE Welcome Home II 1555 16th St BaywoodLos Osos (805) 5951700 6 5 1 0 Aunt Carol's at the 6 14.9 ESE Beach 108 Holly Way Pismo Beach (805) 7727381 6 5 1 0 Carmel Home for the 6 14.0 ESE Elderly 100 Carmelde Ln Grover Beach (805) 7725038 6 5 1 0 8 12.9 ENE Anna's Gardens 2719 El Cerrito St San Luis Obispo (805) 7722515 6 5 1 0 8 12.8 ENE Aunt Carol's Place 1377 Woodside Drive San Luis Obispo (805) 7724495 6 5 1 0 Bella Vista Transitional 8 12.8 ENE Care 3033 Augusta St San Luis Obispo (800) 5930333 162 125 34 3 Bob and Corky's Care 8 12.6 ENE Home 2425 Gerda St San Luis Obispo (805) 7724437 6 5 1 0 8 10.0 ENE Brophy's Place 1712 Vicente Dr San Luis Obispo (805) 7723434 5 4 1 0 Foothills Residential 8 11.8 ENE Care 696 Foothill Blvd San Luis Obispo (805) 7723349 6 5 1 0 French Hospital Medical 8 12.5 ENE Center 1911 Johnson Avenue San Luis Obispo 8057096606 35 27 7 1 Garden Creek Assisted 8 11.8 ENE Living 73 Broad St San Luis Obispo (805) 7725607 72 56 15 1 Greenbrook Elderly 8 9.4 ENE Care 1062 Del Rio Ave San Luis Obispo (805) 7728796 5 4 1 0 8 11.3 ENE Greenhills 347 Calle Lupita San Luis Obispo (805) 7723414 6 5 1 0 8 11.3 ENE Greenhills II 338 Margarita Ave San Luis Obispo 6 5 1 0 8 10.1 ENE Madonna Cottage 1168 Madonna Rd San Luis Obispo 6 5 1 0 8 11.6 ENE Manse on the Marsh 475 Marsh St San Luis Obispo (805) 7722722 135 104 28 3 Mission View Health 8 12.9 ENE Center 1425 Woodside Drive San Luis Obispo (805) 4899300 161 124 34 3 San Luis Residential 8 11.7 ENE Care 260 Westmont Ave San Luis Obispo (805) 7728232 6 5 1 0 Diablo Canyon Power Plant E6 KLD Engineering, P.C.

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Ambul Wheel Bed Distance Dire Current atory chair ridden PAZ (miles) ction Facility Name Street Address Municipality Phone Census Patients Patients Patients San Luis Transitional 8 12.7 ENE Care Center 1575 Bishop Street San Luis Obispo (805) 7734300 23 18 5 0 Sierra Vista Regional 8 12.1 ENE Medical Center 1010 Murray Avenue San Luis Obispo 8059953669 100 77 21 2 8 9.5 ENE Sunrise III 1015 San Adriano St San Luis Obispo (805) 7722771 6 5 1 0 8 9.4 ENE Sunrise IV 920 Del Rio Ave San Luis Obispo (805) 7720102 6 5 1 0 8 9.9 ENE Sunrise VI 1338 Royal Way San Luis Obispo (805) 7723223 6 5 1 0 8 9.8 ENE Sunrise VII 1135 Oceanaire Dr San Luis Obispo (805) 5281686 6 5 1 0 8 11.3 ENE The Residence 3220 Calle Malva San Luis Obispo (805) 4813225 6 5 1 0 The Village at Syndey 8 12.8 ENE Creek 1234 Laurel Ln San Luis Obispo (805) 7734807 84 64 18 2 Welcome Home 8 11.6 ENE Residential 402 Woodbridge St San Luis Obispo (805) 4891869 6 5 1 0 9 10.8 N Bayside Care Center 1405 Teresa Drive Morro Bay (805) 9950014 145 112 30 3 9 10.8 N Casa De Flores 1405 Teresa Dr Morro Bay (805) 7814900 120 92 25 3 9 10.4 N Garden House 480 Main St Morro Bay (805) 5437024 15 12 3 0 10 16.3 ESE Alder House 295 Alder St Arroyo Grande (805) 7735000 32 25 7 0 Arroyo Grande Care 10 15.9 ESE Center 1212 Farroll Avenue Arroyo Grande (866)3798263 99 76 21 2 Arroyo Grande 345 South Halcyon 10 16.5 ESE Community Hospital Road Arroyo Grande (805)7730943 75 58 16 2 10 15.3 ESE Family Care Home 1095 Bodega Ct Grover Beach (805) 5459802 6 5 1 0 10 15.3 ESE Family Home Care II 989 Savannah Dr Grover Beach (805) 7723911 6 5 1 0 10 15.7 ESE Five Cities Residence 472 Dixson St Arroyo Grande (805) 7732216 6 5 1 0 10 15.3 ESE Full Circle Residence I 1445 Huntington Ave Grover Beach (805) 5433170 4 3 1 0 10 15.7 ESE Full Circle Residence II 483 Noel St Arroyo Grande (800) 4414657 6 5 1 0 10 14.5 ESE Get Total TLC 797 Saratoga Ave Grover Beach (805) 7728521 6 5 1 0 10 15.3 ESE Golden Sunrise 917 Savannah Dr Grover Beach (805) 7734445 5 4 1 0 10 15.5 ESE Heritage Residence 1724 Baden Ave Grover Beach (805) 7732665 4 3 1 0 Diablo Canyon Power Plant E7 KLD Engineering, P.C.

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Ambul Wheel Bed Distance Dire Current atory chair ridden PAZ (miles) ction Facility Name Street Address Municipality Phone Census Patients Patients Patients Hillside Villa Retirement 10 17.0 ESE Home 547 May St Arroyo Grande 6 5 1 0 Hillside Villa Retirement 10 17.0 ESE Home II 533 Le Point St Arroyo Grande (805) 7725633 6 5 1 0 10 15.4 ESE La Serena Residence 1589 La Selva Ave Grover Beach (805) 7732113 4 3 1 0 10 15.7 ESE Parkview Village 431 Dixson St Arroyo Grande (805) 5952300 5 4 1 0 10 15.3 ESE Parkview Village II 1577 Baden Ave Grover Beach (805) 7720222 6 5 1 0 Sacred Heart 10 16.0 ESE Residential Care Facility 785 Via Bandolero Arroyo Grande (805) 5437700 6 5 1 0 10 15.9 ESE Wyndham Residence 222 S Elm St Arroyo Grande (805) 5448600 72 55 15 2 Oak Park Manor 11 15.1 ESE Assisted Living 1073 Oak Park Rd Arroyo Grande (805) 5432777 32 25 7 0 Cypress Garden Home 12 18.9 ESE Care 2172 S Halcyon Rd Arroyo Grande (805) 5446888 18 14 4 0 Cypress Ridge Home 12 18.5 ESE Care 2312 Sanderling Ct Arroyo Grande (805) 5438141 6 5 1 0 TOTAL: 1,692 1,321 345 27 Diablo Canyon Power Plant E8 KLD Engineering, P.C.

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Table E3. Parks/Recreational Attractions within the EPZ Distance Dire PAZ (miles) ction Facility Name Street Address Municipality Phone Transients Vehicles Montana De Oro 2 3.4 N Campground Los Osos 130 113 Montana De Oro State 2 3.2 N Park 3550 Pecho Valley Rd Los Osos (805) 5444678 203 88 3 7.2 ESE Avila Beach Avila Beach (805) 5414567 896 389 3 7.2 ESE Avila Beach Campground Avila Beach 161 140 3 7.2 ESE Avila Beach Golf Resort 6464 Ana Bay Drive Avila Beach (805) 3396161 100 50 3 7.1 ESE Avila Park & Plaza 50 San Juan St Avila Beach 553 241 5 7.1 N Los Osos Community Park 2180 Palisades Los Osos 134 58 Los Osos Oaks State 5 6.8 NNE Reserve Los Osos 4 2 5 7.2 N Sea Pines Golf Course 1945 Solano Street Los Osos (805) 5445300 30 12 Pismo Coast Village 6 13.4 ESE Recreation Vehicle Resort 165 South Dolliver St Pismo Beach (805) 7880866 745 648 8 10.1 E Bob Jones Trail San Luis Obispo 1,496 650 8 13.3 ENE Cuesta Local Park San Luis Obispo 176 76 8 11.0 NE Dairy Creek Golf Course 2990 Dairy Creek Road San Luis Obispo (805) 7732411 26 10 Highway One at Dairy Creek 8 10.9 NE El Chorro Regional Park Road San Luis Obispo (805) 5490800 278 121 Laguna Lake Municipal 8 9.6 ENE Golf Course 11175 Los Osos Valley Road San Luis Obispo (805) 5442800 64 23 San Luis Obispo Golf and 8 13.0 E Country Club San Luis Obispo (805) 7731841 76 33 9 16.6 N Cayucos State Beach Cayucos (805) 7734833 559 243 9 12.9 N Del Mar Park Morro Bay (805) 9951885 117 51 9 10.1 N Morro Bay Golf Course Morro Bay (805) 7734807 Morro Bay State Park (Day 668 291 Use Park, Marina, &

9 9.6 NNE Campground) 20 State Park rd Morro Bay (805) 5477777 9 11.7 N Morro Strand RV Park 221 Atascadero Road Morro Bay 162 140 9 12.4 N Morro Strand State Beach Morro Bay (805) 2392800 162 70 Diablo Canyon Power Plant E9 KLD Engineering, P.C.

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Distance Dire PAZ (miles) ction Facility Name Street Address Municipality Phone Transients Vehicles 9 10.3 N Tidelands Park Morro Bay (805) 5459802 244 173 Coastal Dunes RV Park &

10 15.0 ESE Campground 1001 Pacific Boulevard Oceano 225 196 10 14.1 ESE Le Sage Riviera R.V. Park 319 North Highway Grover Beach (805) 5491200 112 98 Ocean Dunes State 10 14.8 ESE Vehicle Recreational Area Oceano 4,617 3,134 Oceano Campground and 10 15.0 ESE Park 540 Air Park Drive Oceano 332 144 Pismo Beach North Beach 10 14.8 ESE Campground 555 Pier Ave Oceano 446 388 10 14.5 ESE Pismo State Beach Arroyo Grande (805) 4896313 Pismo State Beach Golf 405 176 10 13.9 ESE Course Grover Beach (805) 5440400 10 14.5 ESE Pismo Beach State Park Arroyo Grande (805) 9953917 12 20.9 SE Black Lake Golf Course Nipomo (805) 5415001 167 73 TOTAL: 13,288 7,831 Diablo Canyon Power Plant E10 KLD Engineering, P.C.

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Table E4. Lodging Facilities within the EPZ Distance Dire PAZ (miles) ction Facility Name Street Address Municipality Phone Transients Vehicles SAN LUIS OBISPO COUNTY, CA 3 7.3 ESE Avila La Fonda Hotel 101 San Miguel Street Avila Beach 59 25 3 7.2 ESE Avila Lighthouse Suites 550 Front St Avila Beach 113 49 3 7.8 ESE Avila Village Inn 6655 Bay Laurel Place Avila Beach 63 27 3 10.0 ESE Dolphin Bay Resort and Spa 2727 Shell Beach Rd Pismo Beach 132 57 3 7.4 ESE Inn at Avila Beach 256 Front Street Avila Beach 67 29 3 6.9 ESE San Luis Bay Inn 3254 Avila Beach Drive Avila Beach (805) 5437174 524 131 3 10.1 ESE Spyglass Inn 2705 Spyglass Drive Pismo Beach (805) 5430638 172 75 Sycamore Mineral Springs 3 8.3 ESE Resort 1215 Avila Beach Drive San Luis Obispo 135 67 3 9.9 ESE The Cliffs Resort 2757 Shell Beach Road Pismo Beach 305 133 5 8.1 N Back Bay Inn 1391 2nd Street Los Osos (805) 7815205 72 18 5 8.1 N Baywood Bed & Breakfast Inn 1370 2nd Street Baywood Park (805) 7730807 32 16 5 8.3 N Baywood Cottage 1370 2nd Street Los Osos (805) 5954200 66 16 5 8.3 N BeachNBay Getaways 785 Quintana Road Morro Bay (805) 4810444 70 15 5 7.2 N Sea Pines Golf Resort 1945 Solano Street Los Osos (805) 7815670 80 40 6 12.9 ESE Adams Pirates Cove Inn 1000 Dolliver St Pismo Beach 42 18 6 13.1 ESE Beach Bum Holiday Rentals 702 Dolliver Street Pismo Beach 90 39 6 13.1 ESE BeachComber Inn 541 Cypress Street Pismo Beach 18 8 6 13.0 ESE Beach House Inn & Suites 198 Main Street Pismo Beach 13 29 6 13.2 ESE Beachwalker Inn & Suites 490 Dolliver Street Pismo Beach (805) 5449096 50 22 6 15.2 ESE Best Western Casa Grande Inn 850 Oak Park Road Arroyo Grande (805) 5447551 230 100 BEST WESTERN Plus Shore Cliff 6 11.8 ESE Lodge 2555 Price Street Pismo Beach (805) 7815200 364 91 BEST WESTERN Shelter Cove 6 12.2 ESE Lodge 2651 Price Street Pismo Beach (805) 7815930 94 47 6 13.3 ESE Blue Seal Inn 230 Dolliver Street Pismo Beach 54 24 6 12.4 ESE Cottage Inn by the Sea 2351 Price Street Pismo Beach (805) 7732095 175 76 6 13.0 ESE Dolphin Cove Motel 170 Main Street Pismo Beach 46 20 6 12.9 ESE Edgewater Inn & Suites 280 Wadsworth Ave Pismo Beach (805) 5281657 155 67 6 10.5 ESE Inn Paradiso 975 Mojave Lane Paso Robles (805) 4893575 5 3 Diablo Canyon Power Plant E11 KLD Engineering, P.C.

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Distance Dire PAZ (miles) ction Facility Name Street Address Municipality Phone Transients Vehicles 6 12.7 ESE Kon Tiki Inn 1621 Price Street Pismo Beach (805) 5281675 180 78 6 11.0 ESE Laughing Buddha Beach House 251 Capistrano Ave Pismo Beach 5 2 6 14.3 ESE Mission Inn Pismo Beach 601 James Way Pismo Beach (805) 7734855 251 109 6 14.3 ESE Motel 6 Pismo Beach 860 4th Street Pismo Beach (805) 5497800 285 124 Ocean Breeze Inn at Pismo 6 13.0 ESE Beach 250 Main Street Pismo Beach (805) 5431146 124 31 Ocean Palms Motel Pismo 6 13.3 ESE Beach 390 Ocean View Avenue Pismo Beach (805) 5469669 46 20 6 11.2 ESE Ocean View Motel 1001 Shell Beach Rd Pismo Beach 31 14 6 14.3 ESE Oxford Suites Pismo Beach 651 5 Cities Drive Pismo Beach (805) 5433008 399 133 6 13.1 ESE Pismo Beach Hotel 230 Pomeroy Avenue Pismo Beach 57 25 6 12.3 ESE Pismo Lighthouse Suites 2411 Price Street Pismo Beach (805) 5280513 319 127 6 13.8 ESE Quality Inn Monarch Shores 230 5 Cities Drive Pismo Beach (805) 7737990 364 182 6 13.2 ESE Sandcastle Inn 100 Stimson Ave Pismo Beach (805) 7812000 157 68 6 12.5 ESE SeaCrest Ocean Front Hotel 2241 Price Street Pismo Beach (805) 5418696 582 146 6 13.2 ESE Sea Garden Motel 340 Stimson Avenue Pismo Beach 40 17 6 12.9 ESE Sea Gypsy Motel 1020 Cypress Street Pismo Beach (805) 5281820 439 73 6 13.2 ESE SeaVenture Hotel 100 Oean View Ave Pismo Beach (805) 7734811 153 38 Shell Beach Inn Pismo Beach 6 11.3 ESE Hotels 653 Shell Beach Road Pismo Beach (805) 5280513 21 9 6 11.0 ESE The Palomar Inn 1601 Shell Beach Road Shell Beach (800) 5787878 46 20 6 12.5 ESE Tides Motel 2121 Price Street Pismo Beach (805) 2155185 120 22 6 13.0 ESE Valentina 371 Pismo Ave Pismo Beach (805) 4391331 73 27 America's Best Value Inn &

8 12.0 ENE Suites 950 Olive Street San Luis Obispo (805) 5438568 153 38 8 12.9 ENE Apple Farm 2015 Monterey Street San Luis Obispo 263 144 8 10.7 ENE Best Western Royal Oak Hotel 214 Madonna Road San Luis Obispo (805) 5401581 180 90 8 12.8 ENE Best Western Somerset Inn 1895 Monterey St San Luis Obispo 82 35 8 15.1 E Bridge Creek Bed and Breakfast 5300 Righetti Rd San Luis Obispo 4 2 Comfort Inn & Suites 8 12.6 ENE Lamplighter 1604 Monterey Street San Luis Obispo (805) 4815215 167 73 Courtyard Marriott San Luis 8 9.9 ENE Obispo Hotel 1605 Calle Joaquin San Luis Obispo (805) 7734994 289 126 Diablo Canyon Power Plant E12 KLD Engineering, P.C.

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Distance Dire PAZ (miles) ction Facility Name Street Address Municipality Phone Transients Vehicles 8 12.9 ENE Days Inn San Luis Obispo 2050 Garfield St San Luis Obispo 157 68 8 12.2 ENE El Toro Motel 625 Toro Street San Luis Obispo (805) 5434035 25 11 8 10.8 ENE Embassy Suites San Luis Obispo 333 Madonna Road San Luis Obispo (805) 2671690 562 187 8 11.9 ENE Garden Street Inn 1212 Garden Street San Luis Obispo 27 12 8 11.9 ENE Garden Street Inn 1212 Garden Street San Luis Obispo (888) 3370707 39 17 8 12.0 ENE Heritage Inn 978 Olive Street San Luis Obispo (805) 5460475 15 6 Holiday Inn Express: San Luis 8 12.7 ENE Obispo 1800 Monterey Street San Luis Obispo 230 100 8 12.0 ENE Homestead Motel 920 Olive Street San Luis Obispo 38 16 8 12.2 ENE Hostel Obispo 1617 Santa Rosa Street San Luis Obispo (805) 5449173 17 7 8 12.9 ENE Judson Terrace Lodge 3042 Augusta Street San Luis Obispo (805) 5433000 65 28 8 12.9 ENE La Cuesta Inn 2074 Monterey Street San Luis Obispo 151 66 8 9.3 ENE Laguna Lake Mobile Estates 1801 Prefumo Canyon Road San Luis Obispo (805) 5285252 1,056 528 8 12.6 ENE Los Padres Motel 1575 Monterey Street San Luis Obispo (805) 7828060 33 15 8 10.2 ENE Motel 6 San Luis Obispo North 1433 Calle Joaquin San Luis Obispo (805) 5416666 157 78 8 9.9 E Motel 6 San Luis Obispo South 1625 Calle Joaquin San Luis Obispo (805) 7731234 245 106 1653 Old Price Canyon 8 13.8 E Old Edna Deli & BedBreakfast Road San Luis Obispo 4 2 8 12.9 ENE Peach Tree Inn 2001 Monterey Street San Luis Obispo 77 34 8 12.5 ENE Petit Soleil 1473 Monterey St San Luis Obispo (805) 7817228 29 15 8 12.6 ENE Quality Suites San Luis Obispo 1631 Monterey Street San Luis Obispo (805) 3431214 469 117 Ramada Olive Tree San Luis 8 12.0 ENE Obispo 1000 Olive Street San Luis Obispo (805) 7561111 111 56 8 12.0 ENE Roadway Inn 1001 Olive St San Luis Obispo (805) 5954000 98 25 8 10.0 E Rose Garden Inn 1585 Calle Joaquin San Luis Obispo (805) 7734608 204 58 8 12.8 ENE San Luis Creek Lodge 1941 Monterey Street San Luis Obispo 52 23 8 12.1 ENE San Luis Inn & Suites 404 Santa Rosa San Luis Obispo (805) 5285252 127 32 8 12.7 ENE San Luis Obispo Lodge 1941 Monterey Street San Luis Obispo (805) 5411060 91 23 8 12.8 ENE Sands Suites & Motel 1930 Monterey Street San Luis Obispo 147 64 8 12.7 ENE Sunbeam Motel 1656 Monterey Street San Luis Obispo 31 14 Super 8 Downtown San Luis 8 12.8 ENE Obispo 1951 Monterey Street San Luis Obispo 45 103 Diablo Canyon Power Plant E13 KLD Engineering, P.C.

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Distance Dire PAZ (miles) ction Facility Name Street Address Municipality Phone Transients Vehicles 8 12.0 ENE The Economy Motel 652 Morro Street San Luis Obispo 25 11 8 11.0 ENE The Madonna Inn 100 Madonna Road San Luis Obispo (866) 5390036 200 100 The Sanitarium Spa Bed &

8 12.2 ENE Breakfast 1716 Osos Street San Luis Obispo 17 7 Travelodge San Luis Obispo 8 11.5 ENE Downtown 345 Marsh St San Luis Obispo 186 81 8 10.8 ENE Vagabond Inn San Luis Obispo 210 Madonna Road San Luis Obispo (805) 4743790 113 56 8 12.7 ENE Villa Motel 1670 Monterey Street San Luis Obispo 29 13 9 11.2 N Adventure Inn on the Sea 1150 Embarcadero Morro Bay 70 30 9 10.8 N Anderson Inn 897 Embarcadero Morro Bay 18 8 9 10.7 N Ascot Suites 260 Morro Bay Boulevard Morro Bay 67 29 9 10.8 N Bay View Lodge 225 Harbor Street Morro Bay 46 20 9 16.7 N Beachside Rentals 151 Cayucos Drive Cayucos (805) 5430210 90 39 9 16.3 N Beachwalker Inn Cayucos 501 South Ocean Avenue Cayucos (805) 7732422 90 39 9 12.2 N Best Western El Rancho 2460 Main St Morro Bay (805) 4748450 57 25 Best Western Plus San Marcos 9 10.6 N Inn 250 Pacific Street Morro Bay 67 29 9 10.9 N Best Western Tradewinds 225 Beach Street Morro Bay 50 22 9 10.7 N Blue Sail Inn 851 Market Ave Morro Bay (805) 5438071 100 44 9 10.7 N Breakers Motel Morro Bay 780 Market Avenue Morro Bay 52 23 9 16.7 N Cass House 222 North Ocean Ave Cayucos (805) 8982560 8 2 9 16.4 N Cayucos Beach Inn 333 South Ocean Ave Cayucos (805) 5448886 131 33 9 16.5 N Cayucos Motel 20 South Ocean Ave Cayucos (805) 7737440 13 5 9 16.6 N Cayucos Pier View Suites 12 North Ocean Avenue Cayucos 17 7 9 16.5 N Cayucos Sunset Inn 95 S Ocean Ave Cayucos 19 8 Cayucos Sunset Inn Bed and 9 16.5 N Breakfast 95 South Ocean Ave Cayucos (805) 5281233 18 5 9 16.7 N Cayucos Vacation Rentals Inc. 177 North Ocean Ave Cayucos (805) 9953810 600 200 9 16.3 N Coastal Escapes 445 South Ocean Ave Cayucos (805) 7731801 592 197 9 16.5 N Cypress Tree Motel 125 South Street Cayucos (805) 7880833 25 11 9 10.8 N Days Inn Morro Bay 1095 Main St Morro Bay 53 121 9 16.4 N Dolphin Inn 399 South Ocean Ave Cayucos (805) 5444710 40 17 Diablo Canyon Power Plant E14 KLD Engineering, P.C.

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Distance Dire PAZ (miles) ction Facility Name Street Address Municipality Phone Transients Vehicles 9 10.9 N Econo Lodge 1100 Main St Morro Bay 51 22 9 11.0 N El Morro Masterpiece Motels 1206 Main Street Morro Bay 57 25 9 10.4 N Embarcadero Inn 456 Embarcadero Morro Bay 67 29 9 10.6 N Fireside Inn Motel 730 Morro Avenue Morro Bay 50 22 9 10.9 N Front Street Inn 1140 Front St Morro Bay 8 4 9 10.5 N Gray's Inn and Gallery 561 Embarcadero Morro Bay 8 4 9 12.3 N Holland Inn and Suites 2630 Main St Morro Bay (702) 7400000 52 23 9 9.7 N Inn at Morro Bay 60 State Park Road Morro Bay 225 98 9 10.8 N La Serena Inn 990 Morro Avenue Morro Bay 77 34 9 10.6 N Marina Street Inn 305 Marina Street Morro Bay 8 4 Morro Bay Sandpiper 9 10.5 N (Keystone) Inn 540 Main St Morro Bay 42 18 9 10.9 N Morro Bay Sunset Travelodge 1080 Market Avenue Morro Bay 67 29 9 10.6 N Morro Crest Inn 670 Main Street Morro Bay 36 15 9 11.7 N Morro Gardens 440 Atascadero Rd Morro Bay 23 10 9 11.7 N Morro Shores Inn & Suites 290 Atascadero Rd Morro Bay 61 26 9 11.6 N Motel 6 Morro Bay 298 Atascadero Rd Morro Bay 151 66 9 16.7 N On The Beach Bed & Breakfast 181 North Ocean Ave Cayucos (805) 5445332 29 13 9 12.5 N Pacific Cottage Motel 2830 Alder Ave Morro Bay (805) 5440881 29 13 9 10.7 N Pacific Shores Inn 890 Morro Avenue Morro Bay 42 18 9 10.8 N Pleasant Inn 235 Harbor St Morro Bay 21 9 9 10.7 N Sea Air Inn 845 Morro Ave Morro Bay 52 23 9 16.5 N Sea Gull Motel 51 South Ocean Ave Cayucos 2 1 9 16.5 N Seaside Motel 42 South Ocean Avenue Cayucos 25 11 9 10.6 N Sundown Inn 640 Main Street Morro Bay 29 13 9 16.6 N Sweet Suite Vacation Rental Cayucos (800) 6135606 16 4 9 16.5 N The Shoreline Inn 1 North Ocean Ave Cayucos (805) 4893911 25 11 9 16.6 N Tide Water Inn 20 South Ocean Ave Cayucos 13 5 9 10.6 N Twin Dolphin Inn 590 Morro Avenue Morro Bay 57 25 9 10.9 N Villager Motel 1098 Main Street Morro Bay 46 20 Abella Garden Inn Bed &

10 16.4 ESE Breakfast Arroyo Grande (805) 5281547 15 6 Diablo Canyon Power Plant E15 KLD Engineering, P.C.

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Distance Dire PAZ (miles) ction Facility Name Street Address Municipality Phone Transients Vehicles 10 16.3 ESE Aloha Inn Arroyo Grande (805) 2356112 88 38 10 16.3 ESE Econo Lodge 611 El Camino Real Arroyo Grande 90 39 10 16.4 ESE Grand Avenue Motel 617 E Grand Ave Arroyo Grande 29 13 10 16.5 ESE Grieb Farmhouse Inn 851 Todd Lane Arroyo Grande (805) 5412527 4 2 10 14.9 ESE Grover Beach Motel 123 North Street Grover Beach (805) 5429690 13 5 10 15.5 ESE Hampton Inn 1400 West Branch Street Arroyo Grande 216 93 Holiday Inn Express Hotel 10 15.2 ESE Grover Beach 775 N.Oak Park Blvd. Grover Beach 179 78 House of Another Tyme Bed &

10 16.8 ESE Breakfast 227 Le Point Street Arroyo Grande (805) 5414012 17 7 10 15.0 ESE Oceano Inn 1252 Pacific Blvd Oceano (805) 7864200 38 16 10 14.9 ESE Pacific Plaza Resort 444 Pier Avenue Oceano (805) 7815930 117 51 10 15.5 ESE Premier Inns Pismo Beach 555 Camino Mercado Arroyo Grande (805) 5951000 228 99 10 14.4 ESE Seaview Inn 150 North 5th Street Grover Beach (805) 7734617 52 23 11 16.5 E Casita Las Brisas 1678 La Finca Ct Arroyo Grande (805) 5952333 8 2 Libretto College / Olive Tree 11 15.7 ESE Cabin 715 Dixie Ln San Luis Obispo (805) 5434187 33 15 TOTAL: 17,647 7,090 Diablo Canyon Power Plant E16 KLD Engineering, P.C.

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Table E5. Correctional Facilities within the EPZ Distance Dire PAZ (miles) ction Facility Name Street Address Municipality Phone Number of Inmates SAN LUIS OBISPO COUNTY, CA 8 11.9 NE California Men's Colony Highway 1 San Luis Obispo (805)5477900 6,485 8 10.8 NE San Luis Obispo County Jail 1585 Kansas Avenue San Luis Obispo (805)4895506 600 TOTAL: 7,085 Diablo Canyon Power Plant E17 KLD Engineering, P.C.

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Figure E1. Schools within the DCPP EPZ Diablo Canyon Power Plant E18 KLD Engineering, P.C.

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Figure E2. Schools within the DCPP EPZ - PAZs 5 and 9 Diablo Canyon Power Plant E19 KLD Engineering, P.C.

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Figure E3. Schools within the DCPP EPZ - PAZ 8 Diablo Canyon Power Plant E20 KLD Engineering, P.C.

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Figure E4. Schools within the DCPP EPZ - PAZs 3, 6, 7, 10, 11, and 12 Diablo Canyon Power Plant E21 KLD Engineering, P.C.

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Figure E5. Medical Facilities within the DCPP EPZ Diablo Canyon Power Plant E22 KLD Engineering, P.C.

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Figure E6. Medical Facilities within the DCPP EPZ - PAZs 5 and 9 Diablo Canyon Power Plant E23 KLD Engineering, P.C.

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Figure E7. Medical Facilities within the DCPP EPZ - PAZ 8 Diablo Canyon Power Plant E24 KLD Engineering, P.C.

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Figure E8. Medical Facilities within the DCPP EPZ - PAZs 6, 11, 10, and 12 Diablo Canyon Power Plant E25 KLD Engineering, P.C.

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Figure E9. Recreational Areas within the EPZ Diablo Canyon Power Plant E26 KLD Engineering, P.C.

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Figure E10. Recreational Areas within the EPZ - PAZs 5 and 9 Diablo Canyon Power Plant E27 KLD Engineering, P.C.

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Figure E11. Recreational Areas within the DCPP EPZ - PAZs 6 and 10 Diablo Canyon Power Plant E28 KLD Engineering, P.C.

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Figure E12. Overview of Lodging within the DCPP EPZ Diablo Canyon Power Plant E29 KLD Engineering, P.C.

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Figure E13. Lodging within PAZs 5 and 9 of the DCPP EPZ Diablo Canyon Power Plant E30 KLD Engineering, P.C.

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Figure E14. Lodging within PAZs 5 and 9 of the DCPP EPZ Diablo Canyon Power Plant E31 KLD Engineering, P.C.

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Figure E15. Lodging within PAZ 8 of the DCPP EPZ Diablo Canyon Power Plant E32 KLD Engineering, P.C.

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Figure E16. Lodging within PAZ 8 of the DCPP EPZ Diablo Canyon Power Plant E33 KLD Engineering, P.C.

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Figure E17. Lodging within PAZs 3, 6, 7, 10, and 11 of the DCPP EPZ Diablo Canyon Power Plant E34 KLD Engineering, P.C.

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Figure E18. Lodging within PAZs 3 and 6 of the DCPP EPZ Diablo Canyon Power Plant E35 KLD Engineering, P.C.

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Figure E19. Correctional Facilities within the EPZ Diablo Canyon Power Plant E36 KLD Engineering, P.C.

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Figure E20. Overview of the facilities within the DCPP EPZ Diablo Canyon Power Plant E37 KLD Engineering, P.C.

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Figure E21. Facilities within PAZ 1 Diablo Canyon Power Plant E38 KLD Engineering, P.C.

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Figure E22. Facilities within PAZ 2 Diablo Canyon Power Plant E39 KLD Engineering, P.C.

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Figure E23. Facilities within PAZ 3 Diablo Canyon Power Plant E40 KLD Engineering, P.C.

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Figure E24. Facilities within PAZ 5 Diablo Canyon Power Plant E41 KLD Engineering, P.C.

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Figure E25. Facilities within PAZ 6 Diablo Canyon Power Plant E42 KLD Engineering, P.C.

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Figure E26. Facilities within PAZ 8 Diablo Canyon Power Plant E43 KLD Engineering, P.C.

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Figure E27. Facilities within PAZ 9 Diablo Canyon Power Plant E44 KLD Engineering, P.C.

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Figure E28. Facilities within PAZ 10 Diablo Canyon Power Plant E45 KLD Engineering, P.C.

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Figure E29. Facilities within PAZ 11 Diablo Canyon Power Plant E46 KLD Engineering, P.C.

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Figure E30. Facilities within PAZ 12 Diablo Canyon Power Plant E47 KLD Engineering, P.C.

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APPENDIX F Telephone Survey

F. TELEPHONE SURVEY F.1 Introduction The development of ETE for the EPZ of the Diablo Canyon Power Plant requires the identification of travel patterns, car ownership and household size of the population within the EPZ. Demographic information can be obtained from Census data. The use of this data has several limitations when applied to emergency planning. First, the Census data do not encompass the range of information needed to identify the time required for preliminary activities (mobilization) that must be undertaken prior to evacuating the area. Secondly, Census data do not contain attitudinal responses needed from the population of the EPZ and consequently may not accurately represent the anticipated behavioral characteristics of the evacuating populace.

These concerns are addressed by conducting a telephone survey of a representative sample of the EPZ population. The survey is designed to elicit information from the public concerning family demographics and estimates of response times to well defined events. The design of the survey includes a limited number of questions of the form What would you do if ? and other questions regarding activities with which the respondent is familiar (How long does it take you to ?)

Diablo Canyon Power Plant F1 KLD Engineering, P.C.

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F.2 Survey Instrument and Sampling Plan Attachment A presents the final survey instrument used in this study. A draft of the instrument was submitted to stakeholders for comment. Comments were received and the survey instrument was modified accordingly, prior to conducting the survey.

Following the completion of the instrument, a sampling plan was developed. A sample size of approximately 500 completed survey forms yields results with a sampling error of +/-4.3% at the 95% confidence level. The sample must be drawn from the EPZ population. Consequently, a list of zip codes in the EPZ was developed using GIS software. This list is shown in Table F1. Along with each zip code, an estimate of the population and number of households in each area was determined by overlaying Census data and the EPZ boundary, again using GIS software. The proportional number of desired completed survey interviews for each area was identified, as shown in Table F1. Note that the average household size value contained in Table F1 was a sampling plan estimate and was not used in the ETE study.

The completed survey adhered to the sampling plan.

Table F1. DCPP Telephone Survey Sampling Plan Population within Zip Code EPZ (2010) Households Required Sample 93444 900 465 4 93407 1,579 See footnote 1 See footnote 1 93430 2,650 1,338 12 93445 7,202 2,528 22 93449 7,509 3,732 33 93442 10,565 4,996 44 93433 13,258 5,183 46 93402 14,349 5,994 53 93420 26,998 10,947 96 93401 27,805 12,389 108 93405 35,075 9,354 82 Total 147,890 56,926 500 Average Household Size: 2.60 Total Sample Required: 500 1

No calls Cal Poly San Luis Obispo Diablo Canyon Power Plant F2 KLD Engineering, P.C.

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F.3 Survey Results The results of the survey fall into two categories. First, the household demographics of the area can be identified. Demographic information includes such factors as household size, automobile ownership, and automobile availability. The distributions of the time to perform certain pre evacuation activities are the second category of survey results. These data are processed to develop the trip generation distributions used in the evacuation modeling effort, as discussed in Section 5.

A review of the survey instrument reveals that several questions have a dont know (DK) or refused entry for a response. It is accepted practice in conducting surveys of this type to accept the answers of a respondent who offers a DK response for a few questions or who refuses to answer a few questions. To address the issue of occasional DK/refused responses from a large sample, the practice is to assume that the distribution of these responses is the same as the underlying distribution of the positive responses. In effect, the DK/refused responses are ignored and the distributions are based upon the positive data that is acquired.

F.3.1 Household Demographic Results Household Size Figure F1 presents the distribution of household size within the EPZ. The average household surveyed contains 2.30 people, which was the number used for the analysis in the report. The estimated household size (2.60 persons) used to determine the survey sample (Table F1) was drawn from raw 2010 Census data. This value is an overestimation because the raw Census data includes California Polytechnic State University and the California Mens Colony and several other facilities that are not homes. When census blocks with households sizes of zero or 15 or higher are ignored, a total of 47 blocks, the adjusted average household size becomes 2.38, well within the sampling error. The reasonable agreement between the average household size obtained from the survey and from the Census is an indication of the reliability of the survey.

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Diablo Canyon Household Size 50%

40%

% of Households 30%

20%

10%

0%

1 2 3 4 5 6 7 8 9 10+

Household Size Figure F1. Household Size in the EPZ Automobile Ownership The average number of automobiles available per household in the EPZ is 1.94. It should be noted that 4.41 percent of households do not have access to an automobile. The distribution of automobile ownership is presented in Figure F2. Figure F3 and Figure F4 present the automobile availability by household size. Note that the majority of households without access to a car are single person households. As expected, nearly all households of 2 or more people have access to at least one vehicle.

Diablo Canyon Vehicle Availability 50%

40%

% of Households 30%

20%

10%

0%

0 1 2 3 4 5 6 7 8 9+

Number of Vehicles Figure F2. Household Vehicle Availability Diablo Canyon Power Plant F4 KLD Engineering, P.C.

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Distribution of Vehicles by HH Size 15 Person Households 1 Person 2 People 3 People 4 People 5 People 100%

80%

% of Households 60%

40%

20%

0%

0 1 2 3 4 5 6 7 8 9+

Vehicles Figure F3. Vehicle Availability 1 to 5 Person Households Distribution of Vehicles by HH Size 69+ Person Households 6 People 7 People 8 People 9+ People 100%

80%

% of Households 60%

40%

20%

0%

1 2 3 4 5 6 7 8 9 10 Vehicles Figure F4. Vehicle Availability 6 to 9+ Person Households Diablo Canyon Power Plant F5 KLD Engineering, P.C.

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Ridesharing The overwhelming proportion of the households (90%) surveyed (who do not own a vehicle) responded that they would share a ride with a neighbor, relative, or friend if a car was not available to them when asked to evacuate. Figure F5 presents this response. Note, however, that only those households with no access to a vehicle - 22 total out of the sample size of 500 -

answered this question. Thus, the results are not statistically significant. As such, the NRC recommendation of 50% ridesharing is used throughout this study.

Diablo Canyon Rideshare with Neighbor/Friend 100%

80%

% of Households 60%

40%

20%

0%

Yes No Figure F5. Household Ridesharing Preference Diablo Canyon Power Plant F6 KLD Engineering, P.C.

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Commuters Figure F6 presents the distribution of the number of commuters in each household.

Commuters are defined as household members who travel to work or college on a daily basis.

The data shows an average of 0.86 commuters in each household in the EPZ. 50% of households have at least one commuter.

Diablo Canyon Commuters 50%

40%

% of Households 30%

20%

10%

0%

0 1 2 3 4+

Number of Commuters Figure F6. Commuters in Households in the EPZ Diablo Canyon Power Plant F7 KLD Engineering, P.C.

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Commuter Travel Modes Figure F7 presents the mode of travel that commuters use on a daily basis. The vast majority of commuters use their private automobiles to travel to work. The data shows an average of 1.08 employees per vehicle, assuming 2 people per vehicle - on average - for carpools.

Diablo Canyon Travel Mode to Work 100%

85.4%

80%

% of Households 60%

40%

20%

5.8% 7.7%

0.0% 1.2%

0%

Rail Bus Walk/Bike Drive Alone Carpool (2+)

Mode of Travel Figure F7. Modes of Travel in the EPZ F.3.2 Evacuation Response Several questions were asked to gauge the populations response to an emergency. These are now discussed:

How many of the vehicles would your household use during an evacuation? The response is shown in Figure F8. On average, evacuating households would use 1.30 vehicles.

Would your family await the return of other family members prior to evacuating the area?

Of the survey participants who responded, 44 percent said they would await the return of other family members before evacuating and 56 percent indicated that they would not await the return of other family members.

If you had a household pet, would you take your pet with you if you were asked to evacuate the area? Based on the responses to the survey, 19 percent of households do not have a family pet. Of the households with pets, 92 percent of them indicated that they would take their pets, as shown in Figure F9.

Diablo Canyon Power Plant F8 KLD Engineering, P.C.

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Vehicles Used for Evacuation 100%

80%

% of Households 60%

40%

20%

0%

0 1 2 3 4 5 6 7 8 9+

Number of Vehicles Figure F8. Number of Vehicles Used for Evacuation Households Evacuating with Pets 100%

80%

% of Households 60%

40%

20%

0%

Yes No Figure F9. Households Evacuating with Pets Diablo Canyon Power Plant F9 KLD Engineering, P.C.

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Emergency officials advise you to take shelter at home in an emergency. Would you? This question is designed to elicit information regarding compliance with instructions to shelter in place. The results indicate that 81 percent of households who are advised to shelter in place would do so; the remaining 19 percent would choose to evacuate the area. Note the baseline ETE study assumes 20 percent of households will not comply with the shelter advisory, as per Section 2.5.2 of NUREG/CR7002. Thus, the data obtained above is in good agreement with the federal guidance.

Emergency officials advise you to take shelter at home now in an emergency and possibly evacuate later while people in other areas are advised to evacuate now. Would you? This question is designed to elicit information specifically related to the possibility of a staged evacuation. That is, asking a population to shelter in place now and then to evacuate after a specified period of time. Results indicate that 77 percent of households would follow instructions and delay the start of evacuation until so advised, while the balance of 23 percent would choose to begin evacuating immediately.

F.3.3 Time Distribution Results The survey asked several questions about the amount of time it takes to perform certain pre evacuation activities. These activities involve actions taken by residents during the course of their daytoday lives. Thus, the answers fall within the realm of the responders experience.

The mobilization distributions provided below are the result of having applied the analysis described in Section 5.4.1 on the component activities of the mobilization.

Diablo Canyon Power Plant F10 KLD Engineering, P.C.

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How long does it take the commuter to complete preparation for leaving work? Figure F10 presents the cumulative distribution; in all cases, the activity is completed by about 60 minutes.

Eightytwo percent can leave within 20 minutes.

Time to Prepare to Leave Work 100%

80%

% of Commuters 60%

40%

20%

0%

0 10 20 30 40 50 60 70 Preparation Time (min)

Figure F10. Time Required to Prepare to Leave Work/School How long would it take the commuter to travel home? Figure F11 presents the work to home travel time for the EPZ. About 76 percent of commuters can arrive home within 20 minutes of leaving work; nearly all within 45 minutes.

Work to Home Travel 100%

80%

% of Commuters 60%

40%

20%

0%

0 10 20 30 40 50 60 70 Travel Time (min)

Figure F11. Work to Home Travel Time Diablo Canyon Power Plant F11 KLD Engineering, P.C.

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How long would it take the family to pack clothing, secure the house, and load the car?

Figure F12 presents the time required to prepare for leaving on an evacuation trip. In many ways this activity mimics a familys preparation for a short holiday or weekend away from home. Hence, the responses represent the experience of the responder in performing similar activities.

The distribution shown in Figure F12 has a long tail. About 85 percent of households can be ready to leave home within one hour; the remaining households require up to an additional two hours.

Time to Prepare to Leave Home 100%

80%

% of Households 60%

40%

20%

0%

0 30 60 90 120 150 180 Preparation Time (min)

Figure F12. Time to Prepare Home for Evacuation Diablo Canyon Power Plant F12 KLD Engineering, P.C.

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F.4 Conclusions The telephone survey provides valuable, relevant data associated with the EPZ population, which have been used to quantify demographics specific to the EPZ, and mobilization time which can influence evacuation time estimates.

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ATTACHMENT A Telephone Survey Instrument Diablo Canyon Power Plant F14 KLD Engineering, P.C.

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Telephone Survey Instrument Hello, my name is ___________ and Im working on a survey for COL. 1 Unused local county emergency management agencies to identify local COL. 2 Unused behavior during emergency situations. This information will be COL. 3 Unused used for emergency planning and will be shared with local officials COL. 4 Unused to enhance emergency response plans in your area for all hazards; emergency planning for some hazards may require evacuation. COL. 5 Unused Your responses will greatly contribute to local emergency Sex COL. 8 preparedness. I will not ask for your name and the survey shall take 1 Male no more than 10 minutes to complete. 2 Female INTERVIEWER: ASK TO SPEAK TO THE HEAD OF HOUSEHOLD OR THE SPOUSE OF THE HEAD OF HOUSEHOLD.

(Terminate call if not a residence.)

Record area code. To Be Determined (Do Not COL. 911 1A.

Ask)

Record exchange number. To Be Determined (Do COL. 1214 1B.

Not Ask)

2. What is your home zip code? COL. 1519 3A. In total, how many running cars, or other running COL. 20 SKIP TO vehicles are usually available to the household? 1 ONE Q. 4 (DO NOT READ ANSWERS) 2 TWO Q. 4 3 THREE Q. 4 4 FOUR Q. 4 5 FIVE Q. 4 6 SIX Q. 4 7 SEVEN Q. 4 8 EIGHT Q. 4 9 NINE OR MORE Q. 4 0 ZERO (NONE) Q. 3B X DONT KNOW/REFUSED Q. 3B 3B. In an emergency, could you get a ride out of the COL. 21 area with a neighbor or friend? 1 YES 2 NO X DONT KNOW/REFUSED

4. How many people usually live in this household? COL. 22 COL. 23 (DO NOT READ ANSWERS) 1 ONE 0 TEN 2 TWO 1 ELEVEN 3 THREE 2 TWELVE 4 FOUR 3 THIRTEEN 5 FIVE 4 FOURTEEN 6 SIX 5 FIFTEEN Diablo Canyon Power Plant 15 KLD Engineering, P.C.

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7 SEVEN 6 SIXTEEN 8 EIGHT 7 SEVENTEEN 9 NINE 8 EIGHTEEN 9 NINETEEN OR MORE X DONT KNOW/REFUSED

5. How many adults in the household commute to a COL. 24 SKIP TO job, or to college on a daily basis? 0 ZERO Q. 9 1 ONE Q. 6 2 TWO Q. 6 3 THREE Q. 6 4 FOUR OR MORE Q. 6 5 DONT KNOW/REFUSED Q. 9 INTERVIEWER: For each person identified in Question 5, ask Questions 6, 7, and 8.

6. Thinking about commuter #1, how does that person usually travel to work or college? (REPEAT QUESTION FOR EACH COMMUTER)

Commuter #1 Commuter #2 Commuter #3 Commuter #4 COL. 25 COL. 26 COL. 27 COL. 28 Rail 1 1 1 1 Bus 2 2 2 2 Walk/Bicycle 3 3 3 3 Drive Alone 4 4 4 4 Carpool2 or more people 5 5 5 5 Dont know/Refused 6 6 6 6

7. How much time on average, would it take Commuter #1 to travel home from work or college? (REPEAT QUESTION FOR EACH COMMUTER) (DO NOT READ ANSWERS)

COMMUTER #1 COMMUTER #2 COL. 29 COL. 30 COL. 31 COL. 32 1 5 MINUTES OR LESS 1 4650 MINUTES 1 5 MINUTES OR LESS 1 4650 MINUTES 2 610 MINUTES 2 5155 MINUTES 2 610 MINUTES 2 5155 MINUTES 3 1115 MINUTES 3 56 - 1 HOUR 3 1115 MINUTES 3 56 - 1 HOUR OVER 1 HOUR, BUT OVER 1 HOUR, BUT 4 1620 MINUTES 4 LESS THAN 1 HOUR 15 4 1620 MINUTES 4 LESS THAN 1 HOUR MINUTES 15 MINUTES BETWEEN 1 HOUR 16 BETWEEN 1 HOUR 16 5 2125 MINUTES 5 MINUTES AND 1 HOUR 5 2125 MINUTES 5 MINUTES AND 1 30 MINUTES HOUR 30 MINUTES BETWEEN 1 HOUR 31 BETWEEN 1 HOUR 31 6 2630 MINUTES 6 MINUTES AND 1 HOUR 6 2630 MINUTES 6 MINUTES AND 1 45 MINUTES HOUR 45 MINUTES Diablo Canyon Power Plant 16 KLD Engineering, P.C.

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BETWEEN 1 HOUR 46 BETWEEN 1 HOUR 46 7 3135 MINUTES 7 MINUTES AND 2 7 3135 MINUTES 7 MINUTES AND 2 HOURS HOURS OVER 2 HOURS OVER 2 HOURS 8 3640 MINUTES 8 8 3640 MINUTES 8 (SPECIFY ______) (SPECIFY ______)

9 4145 MINUTES 9 9 4145 MINUTES 9 0 0 DONT KNOW DONT KNOW X X

/REFUSED /REFUSED COMMUTER #3 COMMUTER #4 COL. 33 COL. 34 COL. 35 COL. 36 1 5 MINUTES OR LESS 1 4650 MINUTES 1 5 MINUTES OR LESS 1 4650 MINUTES 2 610 MINUTES 2 5155 MINUTES 2 610 MINUTES 2 5155 MINUTES 3 1115 MINUTES 3 56 - 1 HOUR 3 1115 MINUTES 3 56 - 1 HOUR OVER 1 HOUR, BUT OVER 1 HOUR, BUT 4 1620 MINUTES 4 LESS THAN 1 HOUR 15 4 1620 MINUTES 4 LESS THAN 1 HOUR MINUTES 15 MINUTES BETWEEN 1 HOUR 16 BETWEEN 1 HOUR 16 5 2125 MINUTES 5 MINUTES AND 1 HOUR 5 2125 MINUTES 5 MINUTES AND 1 30 MINUTES HOUR 30 MINUTES BETWEEN 1 HOUR 31 BETWEEN 1 HOUR 31 6 2630 MINUTES 6 MINUTES AND 1 HOUR 6 2630 MINUTES 6 MINUTES AND 1 45 MINUTES HOUR 45 MINUTES BETWEEN 1 HOUR 46 BETWEEN 1 HOUR 46 7 3135 MINUTES 7 MINUTES AND 2 7 3135 MINUTES 7 MINUTES AND 2 HOURS HOURS OVER 2 HOURS OVER 2 HOURS 8 3640 MINUTES 8 8 3640 MINUTES 8 (SPECIFY ______) (SPECIFY ______)

9 4145 MINUTES 9 9 4145 MINUTES 9 0 0 DONT KNOW DONT KNOW X X

/REFUSED /REFUSED

8. Approximately how much time does it take Commuter #1 to complete preparation for leaving work or college prior to starting the trip home? (REPEAT QUESTION FOR EACH COMMUTER) (DO NOT READ ANSWERS)

COMMUTER #1 COMMUTER #2 COL. 37 COL. 38 COL. 39 COL. 40 1 5 MINUTES OR LESS 1 4650 MINUTES 1 5 MINUTES OR LESS 1 4650 MINUTES 2 610 MINUTES 2 5155 MINUTES 2 610 MINUTES 2 5155 MINUTES 3 1115 MINUTES 3 56 - 1 HOUR 3 1115 MINUTES 3 56 - 1 HOUR OVER 1 HOUR, BUT OVER 1 HOUR, BUT 4 1620 MINUTES 4 LESS THAN 1 HOUR 15 4 1620 MINUTES 4 LESS THAN 1 HOUR MINUTES 15 MINUTES BETWEEN 1 HOUR 16 BETWEEN 1 HOUR 16 5 2125 MINUTES 5 MINUTES AND 1 HOUR 5 2125 MINUTES 5 MINUTES AND 1 30 MINUTES HOUR 30 MINUTES 6 2630 MINUTES 6 BETWEEN 1 HOUR 31 6 2630 MINUTES 6 BETWEEN 1 HOUR 31 Diablo Canyon Power Plant 17 KLD Engineering, P.C.

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MINUTES AND 1 HOUR MINUTES AND 1 45 MINUTES HOUR 45 MINUTES BETWEEN 1 HOUR 46 BETWEEN 1 HOUR 46 7 3135 MINUTES 7 MINUTES AND 2 7 3135 MINUTES 7 MINUTES AND 2 HOURS HOURS OVER 2 HOURS OVER 2 HOURS 8 3640 MINUTES 8 8 3640 MINUTES 8 (SPECIFY ______) (SPECIFY ______)

9 4145 MINUTES 9 9 4145 MINUTES 9 0 0 X DONT KNOW /REFUSED X DONT KNOW /REFUSED COMMUTER #3 COMMUTER #4 COL. 41 COL. 42 COL. 43 COL. 44 1 5 MINUTES OR LESS 1 4650 MINUTES 1 5 MINUTES OR LESS 1 4650 MINUTES 2 610 MINUTES 2 5155 MINUTES 2 610 MINUTES 2 5155 MINUTES 3 1115 MINUTES 3 56 - 1 HOUR 3 1115 MINUTES 3 56 - 1 HOUR OVER 1 HOUR, BUT OVER 1 HOUR, BUT LESS 4 1620 MINUTES 4 LESS THAN 1 HOUR 15 4 1620 MINUTES 4 THAN 1 HOUR 15 MINUTES MINUTES BETWEEN 1 HOUR 16 BETWEEN 1 HOUR 16 5 2125 MINUTES 5 MINUTES AND 1 HOUR 5 2125 MINUTES 5 MINUTES AND 1 HOUR 30 30 MINUTES MINUTES BETWEEN 1 HOUR 31 BETWEEN 1 HOUR 31 6 2630 MINUTES 6 MINUTES AND 1 HOUR 6 2630 MINUTES 6 MINUTES AND 1 HOUR 45 45 MINUTES MINUTES BETWEEN 1 HOUR 46 BETWEEN 1 HOUR 46 7 3135 MINUTES 7 MINUTES AND 2 7 3135 MINUTES 7 MINUTES AND 2 HOURS HOURS OVER 2 HOURS OVER 2 HOURS (SPECIFY 8 3640 MINUTES 8 8 3640 MINUTES 8 (SPECIFY ______) ______)

9 4145 MINUTES 9 9 4145 MINUTES 9 0 0 X DONT KNOW /REFUSED X DONT KNOW /REFUSED

9. If you were advised by local authorities to evacuate, how much time would it take the household to pack clothing, medications, secure the house, load the car, and complete preparations prior to evacuating the area? (DO NOT READ ANSWERS)

COL. 45 COL. 46 1 LESS THAN 15 MINUTES 1 3 HOURS TO 3 HOURS 15 MINUTES 2 1530 MINUTES 2 3 HOURS 16 MINUTES TO 3 HOURS 30 MINUTES 3 3145 MINUTES 3 3 HOURS 31 MINUTES TO 3 HOURS 45 MINUTES 4 46 MINUTES - 1 HOUR 4 3 HOURS 46 MINUTES TO 4 HOURS 5 1 HOUR TO 1 HOUR 15 MINUTES 5 4 HOURS TO 4 HOURS 15 MINUTES 6 1 HOUR 16 MINUTES TO 1 HOUR 30 MINUTES 6 4 HOURS 16 MINUTES TO 4 HOURS 30 MINUTES 7 1 HOUR 31 MINUTES TO 1 HOUR 45 MINUTES 7 4 HOURS 31 MINUTES TO 4 HOURS 45 MINUTES Diablo Canyon Power Plant 18 KLD Engineering, P.C.

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8 1 HOUR 46 MINUTES TO 2 HOURS 8 4 HOURS 46 MINUTES TO 5 HOURS 9 2 HOURS TO 2 HOURS 15 MINUTES 9 5 HOURS TO 5 HOURS 30 MINUTES 0 2 HOURS 16 MINUTES TO 2 HOURS 30 MINUTES 0 5 HOURS 31 MINUTES TO 6 HOURS X 2 HOURS 31 MINUTES TO 2 HOURS 45 MINUTES X OVER 6 HOURS (SPECIFY _______)

Y 2 HOURS 46 MINUTES TO 3 HOURS COL. 47 1 DONT KNOW/REFUSED

10. Please choose one of the following (READ COL. 50 ANSWERS): 1 A A. I would await the return of household commuters to evacuate together. 2 B B. I would evacuate independently and meet X DONT KNOW/REFUSED other household members later.

11. How many vehicles would your household use during an evacuation? (DO NOT READ ANSWERS)

COL. 51 1 ONE 2 TWO 3 THREE 4 FOUR 5 FIVE 6 SIX 7 SEVEN 8 EIGHT 9 NINE OR MORE 0 ZERO (NONE)

X DONT KNOW/REFUSED 12A. Emergency officials advise you to take shelter at home in an COL. 52 emergency. Would you: (READ ANSWERS) 1 A A. SHELTER; or 2 B B. EVACUATE X DONT KNOW/REFUSED 12B. Emergency officials advise you to take shelter at home now in COL. 53 an emergency and possibly evacuate later while people in 1 A other areas are advised to evacuate now. Would you: (READ 2 B ANSWERS)

X DONT KNOW/REFUSED A. SHELTER; or B. EVACUATE

13. If you have a household pet, would you take your pet with you if you were asked to evacuate the area?

(READ ANSWERS)

COL. 54 1 DONT HAVE A PET 2 YES Diablo Canyon Power Plant 19 KLD Engineering, P.C.

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3 NO X DONT KNOW/REFUSED Thank you very much. _______________________________

(TELEPHONE NUMBER CALLED)

IF REQUESTED:

For additional information, contact your County Emergency Management Agency during normal business hours.

County EMA Phone San Luis Obispo (805) 7815011 Diablo Canyon Power Plant 20 KLD Engineering, P.C.

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APPENDIX G Traffic Management Plan

G. TRAFFIC MANAGEMENT PLAN NUREG/CR7002 indicates that the existing TCPs and ACPs identified by the offsite agencies should be used in the evacuation simulation modeling. The traffic and access control plans for the EPZ were provided by each county.

These plans were reviewed and the TCPs were modeled accordingly.

G.1 Traffic Control Points As discussed in Section 9, traffic control points at intersections (which are controlled) are modeled as actuated signals. If an intersection has a pretimed signal, stop, or yield control, and the intersection is identified as a traffic control point, the control type was changed to an actuated signal in the DYNEV II system. Table K2 provides the control type and node number for those nodes which are controlled. If the existing control was changed due to the point being a TCP, the control type is indicated as TCP in Table K2.

As discussed in Section 9, there is significant traffic congestion in competing directions (east west and northsouth) at intersections within the population centers of the EPZ. Assigning police officers to perform traffic control at these intersections will have no benefit due to the heavy congestion along competing approaches. The main thoroughfare on US 101 and SH 1 is operating at LOS F for several hours, as shown in Figures 73 through 711. Positioning police officers at ramps and intersections to facilitate access to these roadways would have minimal benefit as the main thoroughfare is already heavily congested.

Figure G1 maps the TCPs identified in the county emergency plans. These TCPS are concentrated in San Luis Obispo, Grover Beach, Arroyo Grande, Los Osos, Morro Bay, and along US 101, which were identified as the congested areas/roadways in Section 7.3. Theses TCPs would be manned during evacuation by traffic guides who would direct evacuees in the proper direction and facilitate the flow of traffic through the intersections. Figure G2 though G7 show the TCPs within each PAZ.

G.2 Access Control Points It is assumed that ACPs will be established within 30 minutes of the Evacuation Order to discourage through travelers from using major through routes which traverse the EPZ. As discussed in Section 3.7, external traffic was only considered on two routes which traverse the EPZ - US 101 and SH 1 - in this analysis. The generation of these external trips ceased at 30 hours3.472222e-4 days <br />0.00833 hours <br />4.960317e-5 weeks <br />1.1415e-5 months <br /> after the Evacuation Order in the simulation.

According to the county emergency plans, the California Highway Patrol is responsible for developing the traffic control strategy and for overall management of the traffic control function.

As discussed in Section 9, no additional TCPs or ACPs are deemed necessary as a result of this study.

Diablo Canyon Power Plant G1 KLD Engineering, P.C.

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Figure G1. Traffic Control Points for the DCPP Diablo Canyon Power Plant G2 KLD Engineering, P.C.

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Figure G2. TCPs in PAZ 3 Diablo Canyon Power Plant G3 KLD Engineering, P.C.

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Figure G3. TCPs in PAZ 5 Diablo Canyon Power Plant G4 KLD Engineering, P.C.

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Figure G4. TCPs in PAZ 6 Diablo Canyon Power Plant G5 KLD Engineering, P.C.

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Figure G5. TCPs in PAZ 8 Diablo Canyon Power Plant G6 KLD Engineering, P.C.

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Figure G6. TCPs in PAZ 9 Diablo Canyon Power Plant G7 KLD Engineering, P.C.

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Figure G7. TCPs in PAZ 10 Diablo Canyon Power Plant G8 KLD Engineering, P.C.

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APPENDIX H Evacuation Regions

H EVACUATION REGIONS This appendix presents the evacuation percentages for each Evacuation Region (Table H1) and maps of all Evacuation Regions. The percentages presented in Table H1 are based on the methodology discussed in assumption 5 of Section 2.2 and shown in Figure 21.

Note the baseline ETE study assumes 20 percent of households will not comply with the shelter advisory, as per Section 2.5.2 of NUREG/CR7002.

Diablo Canyon Power Plant H1 KLD Engineering, P.C.

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Table H1. Percent of PAZ Population Evacuating for Each Region PAZ Corresponds Reg to PG&E Description ion 1 2 3 4 5 6 7 8 9 10 11 12 Scenario Number:

R01 2Mile Ring 100% 20% 20% 20% 20% 20% 20% 20% 20% 20% 20% 20% N/A 6Mile Ring (similar to the R02 100% 100% 20% 20% 20% 20% 20% 20% 20% 20% 20% 20% 1 Base FEMA 5 mile ring)

R03 FEMA EPZ 100% 100% 100% 100% 100% 20% 20% 20% 20% 20% 20% 20% N/A R04 Full EPZ 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 10 BEPZ Evacuate 2Mile Radius and Downwind to 6 Miles Wind Direction PAZ Region From: 1 2 3 4 5 6 7 8 9 10 11 12 SE, SSE, S, SSW, SW, WSW, W, Refer to Region R02 1 Base WNW, NW, NNW N, NNE, NE, ENE, Refer to Region R01 N/A E, ESE Evacuate 6Mile Radius and Downwind to 10 miles Wind Direction PAZ Region From: 1 2 3 4 5 6 7 8 9 10 11 12 R05 SSE, S 100% 100% 20% 20% 100% 20% 20% 20% 20% 20% 20% 20% 2 NorthA R06 SSW, SW 100% 100% 20% 100% 100% 20% 20% 20% 20% 20% 20% 20% N/A WSW Refer to Region R03 N/A R07 W, WNW 100% 100% 100% 100% 20% 20% 20% 20% 20% 20% 20% 20% N/A 6

R08 NW, NNW 100% 100% 100% 20% 20% 20% 20% 20% 20% 20% 20% 20%

SoutheastA N, NNE, NE, ENE, Refer to Region R02 1 Base E, ESE, SE Evacuate 6Mile Radius and Downwind to 13 miles Wind Direction PAZ Region From: 1 2 3 4 5 6 7 8 9 10 11 12 R09 SSE, S 100% 100% 20% 20% 100% 20% 20% 20% 100% 20% 20% 20% 3 NorthB 5 North &

R10 SSW, SW 100% 100% 20% 100% 100% 20% 20% 100% 100% 20% 20% 20%

East R11 WSW 100% 100% 100% 100% 100% 20% 100% 100% 100% 20% 20% 20% N/A R12 W, WNW 100% 100% 100% 100% 20% 100% 100% 100% 20% 20% 20% 20% N/A 7

R13 NW 100% 100% 100% 20% 20% 100% 100% 20% 20% 20% 20% 20% Southeast B

NNW, N, NNE, NE, ENE, E, ESE, Refer to Region R02 1 Base SE Diablo Canyon Power Plant H2 KLD Engineering, P.C.

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Table H1. Percent of PAZ Population Evacuating for Each Region Continued Evacuate 6Mile Radius and Downwind to 15 miles Corresponds Wind PAZ to PG&E Direction Scenario Region From: 1 2 3 4 5 6 7 8 9 10 11 12 Number:

SSE, S Refer to Region R09 3 NorthB 5 North &

SSW, SW Refer to Region R10 East R14 WSW 100% 100% 100% 100% 100% 20% 100% 100% 100% 20% 100% 20% N/A R15 W, WNW 100% 100% 100% 100% 20% 100% 100% 100% 20% 100% 100% 20% N/A 8

R16 NW 100% 100% 100% 20% 20% 100% 100% 20% 20% 100% 100% 20%

SoutheastC NNW, N, NNE, NE, ENE, E, Refer to Region R02 1 Base ESE, SE Evacuate 6Mile Radius and Downwind to EPZ Boundary Wind PAZ Direction 1 2 3 4 5 6 7 8 9 10 11 12 Region From:

SSE, S Refer to Region R09 3 NorthB 5 North &

SSW, SW Refer to Region R10 East WSW Refer to Region R14 N/A R17 W, WNW 100% 100% 100% 100% 20% 100% 100% 100% 20% 100% 100% 100% N/A 9

R18 NW 100% 100% 100% 20% 20% 100% 100% 20% 20% 100% 100% 100%

SoutheastD NNW, N, NNE, R19 NE, ENE, E, 100% 100% 20% 20% 20% 20% 20% 20% 20% 20% 20% 100% N/A ESE, SE N, NNE, NE, ENE, N, ESE, Refer to Region R02 1 Base SE Site Specific Regions Wind PAZ Direction 1 2 3 4 5 6 7 8 9 10 11 12 Region From:

R20 W 100% 100% 20% 100% 20% 20% 20% 100% 20% 20% 20% 20% 4 East (all)

Diablo Canyon Power Plant H3 KLD Engineering, P.C.

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Table H1. Percent of PAZ Population Evacuating for Each Region Continued Staged Evacuation 2Mile Radius Evacuates, then Evacuate Downwind to 6 Miles Corresponds to PG&E PAZ Scenario Region Wind Direction From:

1 2 3 4 5 6 7 8 9 10 11 12 Number:

SE, SSE, S, SSW, SW, R21 WSW, W, WNW, NW, 100% 100% 20% 20% 20% 20% 20% 20% 20% 20% 20% 20% N/A NNW N, NNE, NE, ENE, E, Refer to Region R01 N/A ESE ShelterinPlace until 90% ETE for R01, then Evacuate PAZ(s) ShelterinPlace PAZ(s) Evacuate Staged Evacuation 6Mile Radius Evacuates, then Evacuate Downwind to 10 Miles PAZ Region Wind Direction From:

1 2 3 4 5 6 7 8 9 10 11 12 R22 SSE, S 100% 100% 20% 20% 100% 20% 20% 20% 20% 20% 20% 20% N/A R23 SSW, SW 100% 100% 20% 100% 100% 20% 20% 20% 20% 20% 20% 20% N/A R24 WSW 100% 100% 100% 100% 100% 20% 20% 20% 20% 20% 20% 20% N/A R25 W, WNW 100% 100% 100% 100% 20% 20% 20% 20% 20% 20% 20% 20% N/A R26 NW 100% 100% 100% 20% 20% 20% 20% 20% 20% 20% 20% 20% N/A NNW, N, NNE, NE, Refer to Region R02 N/A ENE, E, ESE, SE ShelterinPlace until 90% ETE for R02, then Evacuate PAZ(s) ShelterinPlace PAZ(s) Evacuate Diablo Canyon Power Plant H4 KLD Engineering, P.C.

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Figure H1. Region R01 Diablo Canyon Power Plant H5 KLD Engineering, P.C.

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Figure H2. Region R02 Diablo Canyon Power Plant H6 KLD Engineering, P.C.

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Figure H3. Region R03 Diablo Canyon Power Plant H7 KLD Engineering, P.C.

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Figure H4. Region R04 Diablo Canyon Power Plant H8 KLD Engineering, P.C.

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Figure H5. Region R05 Diablo Canyon Power Plant H9 KLD Engineering, P.C.

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Figure H6. Region R06 Diablo Canyon Power Plant H10 KLD Engineering, P.C.

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Figure H7. Region R07 Diablo Canyon Power Plant H11 KLD Engineering, P.C.

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Figure H8. Region R08 Diablo Canyon Power Plant H12 KLD Engineering, P.C.

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Figure H9. Region R09 Diablo Canyon Power Plant H13 KLD Engineering, P.C.

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Figure H10. Region R10 Diablo Canyon Power Plant H14 KLD Engineering, P.C.

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Figure H11. Region R11 Diablo Canyon Power Plant H15 KLD Engineering, P.C.

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Figure H12. Region R12 Diablo Canyon Power Plant H16 KLD Engineering, P.C.

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Figure H13. Region R13 Diablo Canyon Power Plant H17 KLD Engineering, P.C.

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Figure H14. Region R14 Diablo Canyon Power Plant H18 KLD Engineering, P.C.

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Figure H15. Region R15 Diablo Canyon Power Plant H19 KLD Engineering, P.C.

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Figure H16. Region R16 Diablo Canyon Power Plant H20 KLD Engineering, P.C.

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Figure H17. Region R17 Diablo Canyon Power Plant H21 KLD Engineering, P.C.

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Figure H18. Region R18 Diablo Canyon Power Plant H22 KLD Engineering, P.C.

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Figure H19. Region R19 Diablo Canyon Power Plant H23 KLD Engineering, P.C.

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Figure H20. Region R20 Diablo Canyon Power Plant H24 KLD Engineering, P.C.

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Figure H21. Region R21 Diablo Canyon Power Plant H25 KLD Engineering, P.C.

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Figure H22. Region R22 Diablo Canyon Power Plant H26 KLD Engineering, P.C.

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Figure H23. Region R23 Diablo Canyon Power Plant H27 KLD Engineering, P.C.

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Figure H24. Region R24 Diablo Canyon Power Plant H28 KLD Engineering, P.C.

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Figure H25. Region R25 Diablo Canyon Power Plant H29 KLD Engineering, P.C.

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Figure H26. Region R26 Diablo Canyon Power Plant H30 KLD Engineering, P.C.

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APPENDIX J Representative Inputs to and Outputs from the DYNEV II System

J. REPRESENTATIVE INPUTS TO AND OUTPUTS FROM THE DYNEV II SYSTEM This appendix presents data input to and output from the DYNEV II System. Table J1 provides the volume and queues for the ten highest volume signalized intersections in the study area.

Refer to Table K2 and the figures in Appendix K for a map showing the geographic location of each intersection. All of the signalized intersections in Table J1 are actuated signals with a cycle length of 75 seconds.

Table J2 provides source (vehicle loading) and destination information for several roadway segments (links) in the analysis network. Refer to Table K1 and the figures in Appendix K for a map showing the geographic location of each link.

Table J3 provides network-wide statistics (average travel time, average speed and number of vehicles) for an evacuation of the entire EPZ (Region R04) for each scenario. As expected, Scenarios 2 and 7, which are rain scenarios, exhibit the slowest average speed and longest average travel times.

Table J4 provides statistics (average speed and travel time) for the major evacuation routes -

US 101 and State Highway 1 - for an evacuation of the entire EPZ (Region R04) under Scenario 1 conditions. As discussed in Section 7.3 and shown in Figures 73 through 711, US1 is congested for most of the evacuation. As such, the average speeds are comparably slower (and travel times longer) than other evacuation routes.

Table J5 provides the number of vehicles discharged and the cumulative percent of total vehicles discharged for each link exiting the analysis network, for an evacuation of the entire EPZ (Region R04) under Scenario 1 conditions. Refer to Table K1 and the figures in Appendix K for a map showing the geographic location of each link.

Figure J1 through Figure J12 plot the trip generation time versus the ETE for each of the 12 Scenarios considered. The distance between the trip generation and ETE curves is the travel time. Plots of trip generation versus ETE are indicative of the level of traffic congestion during evacuation. For low population density sites, the curves are close together, indicating short travel times and minimal traffic congestion. For higher population density sites, the curves are farther apart indicating longer travel times and the presence of traffic congestion. As seen in Figure J1 through Figure J12 the curves are spatially separated as a result of the traffic congestion in the EPZ, which was discussed in detail in Section 7.3.

Diablo Canyon Power Plant J1 KLD Engineering, P.C.

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Table J1. Characteristics of the Ten Highest Volume Signalized Intersections Total Cycle Intersection Approach Volume Max. Turn Length Node Location Control (Up Node) (Veh) Queue (Veh) (seconds) 839 6,107 33 67 1,315 0 66 SH 1 and Old Creek Rd Actuated 846 42 0 75 852 3 0 TOTAL 7,467 65 1,291 0 64 5,911 19 SH 1 and Yerba Buena 364 Actuated 365 16 0 75 St 836 165 0 TOTAL 7,383 65 6,088 23 66 1,254 0 839 SH 1 and Studio Drive Actuated 851 2 0 75 857 14 0 TOTAL 7,358 64 1,340 0 75 5,636 17 SH 1 and San Jacinto 362 Actuated 831 244 1 75 Ave 1078 71 0 TOTAL 7,291 663 3,330 261 471 1,154 26 Grand Ave and Halcyon 225 Actuated 472 145 5 75 Ave 226 1,186 21 TOTAL 5,815 Diablo Canyon Power Plant J2 KLD Engineering, P.C.

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Approach Total Max. Turn Cycle Intersection (Up Volume Queue Length Node Location Control Node) (Veh) (Veh) (seconds) 891 5,197 91 Los Osos Valley Rd 179 0 0 159 Actuated 75 and S Bay Blvd 160 462 16 TOTAL 5,659 517 615 0 385 1,935 430 SH 1 and W Foothills 50 Actuated 700 2,905 51 75 Rd 388 162 11 TOTAL 5,617 802 543 0 50 4,253 305 517 SH 1 and Murray St Actuated 519 41 1 75 518 239 11 TOTAL 5,076 802 4,539 192 520 0 0 49 SH 1 and Olive St Actuated 75 191 533 0 TOTAL 5,072 158 4,014 304 Los Osos Valley Rd 891 Actuated 1040 793 46 75 and 10th St TOTAL 4,807 Diablo Canyon Power Plant J3 KLD Engineering, P.C.

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Table J2. Sample Simulation Model Input Vehicles Entering Link Network Directional Destination Destination Number on this Link Preference Nodes Capacity 8142 1,571 90 2 NE 8005 6,750 8046 6,750 306 27 E 8246 1,572 8096 1,698 8046 6,750 437 6 E 8246 1,572 8096 1,698 8246 1,572 600 9 SE 8096 1,698 8046 6,750 8246 1,572 881 82 SE 8096 1,698 8046 6,750 8110 1,569 1006 0 N 8135 1,698 8074 1,698 8142 1,571 1164 209 N 8005 6,750 8074 1,698 8246 1,572 1309 26 SE 8096 1,698 8246 1,572 803 104 E 8096 1,698 8046 6,750 8135 1,698 1132 9 N 8074 1,698 8110 1,569 Diablo Canyon Power Plant J4 KLD Engineering, P.C.

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Table J3. Selected Model Outputs for the Evacuation of the Entire EPZ (Region R04)

Scenario 1 2 3 4 5 6 7 8 9 10 11 12 NetworkWide Average 8.9 9.6 8.0 8.9 7.4 8.6 9.5 7.7 8.6 7.1 7.1 11.1 Travel Time (Min/VehMi)

NetworkWide Average 6.7 6.2 7.5 6.8 8.1 7.0 6.3 7.8 7.0 8.4 8.5 5.4 Speed (mph)

Total Vehicles 127,285 126,320 114,321 113,593 103,467 123,671 123,029 108,705 107,744 99,669 157,555 130,529 Exiting Network Diablo Canyon Power Plant J5 KLD Engineering, P.C.

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Table J4. Average Speed (mph) and Travel Time (min) for Major Evacuation Routes (Region R04, Scenario 1)

Elapsed Time (hours) 1 2 3 4 Travel Length Speed Time Travel Travel Travel Route# (miles) (mph) (min) Speed Time Speed Time Speed Time US 101 NB 43.7 6.4 407.5 4.9 540.2 4.9 538.9 5.1 519.1 US 101 SB 43.7 18.5 142.0 5.0 520.9 5.7 459.8 5.7 461.2 US 1 NB 55.9 6.9 487.0 4.5 737.8 4.8 699.0 5.3 637.3 US 1 SB 55.5 10.2 326.1 4.5 737.7 4.9 682.4 5.2 642.5 US 1 SB (2) 53.9 5.2 619.4 3.1 35.7 3.6 901.5 3.6 890.8 5 6 7 8 9 Travel Travel Travel Travel Travel Speed Time Speed Time Speed Time Speed Time Speed Time 4.4 592.4 5.7 462.8 5.4 490.3 8.2 320.1 42.1 62.4 5.8 456.1 7.2 366.1 12.5 209.6 17.3 151.9 24.7 106.3 4.7 709.8 6.1 546.3 5.8 580.7 9.6 351.3 53.0 63.3 5.6 598.1 7.7 431.8 15.0 222.2 20.3 164.5 28.0 118.9 3.7 883.0 6.0 542.5 11.4 284.1 25.6 126.4 24.9 129.6 Diablo Canyon Power Plant J6 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Table J5. Simulation Model Outputs at Network Exit Links for Region R04, Scenario 1 Elapsed Time (hours)

EPZ 1 2 3 4 5 6 7 8 9 Exit Link Vehicles Discharged During the Indicated Time Interval Cumulative Percent of Vehicles Discharged During the Indicated Time Interval 2,603 5,139 7,868 10,391 12,632 14,885 17,216 19,451 21,727 2

21.28% 19.29% 19.66% 19.55% 19.08% 18.71% 18.56% 18.49% 18.67%

3,980 8,252 12,406 16,599 20,852 25,102 29,346 33,527 37,787 80 32.54% 30.98% 31.00% 31.22% 31.49% 31.56% 31.64% 31.88% 32.47%

1,384 2,918 4,449 5,977 7,506 9,034 10,562 12,090 12,580 141 11.32% 10.95% 11.12% 11.24% 11.34% 11.36% 11.39% 11.50% 10.81%

619 2,167 3,165 4,044 4,872 5,710 6,551 6,703 6,703 183 5.06% 8.13% 7.91% 7.61% 7.36% 7.18% 7.06% 6.37% 5.76%

562 1,169 1,777 2,384 2,992 3,599 4,207 4,814 5,422 204 4.59% 4.39% 4.44% 4.48% 4.52% 4.52% 4.53% 4.58% 4.66%

16 88 106 112 112 112 112 112 112 221 0.13% 0.33% 0.26% 0.21% 0.17% 0.14% 0.12% 0.11% 0.10%

897 1,797 2,697 3,582 4,433 5,333 6,233 7,133 8,033 348 7.33% 6.74% 6.74% 6.74% 6.69% 6.70% 6.72% 6.78% 6.90%

643 1,422 2,114 2,810 3,496 4,192 4,825 5,452 6,077 349 5.26% 5.34% 5.28% 5.29% 5.28% 5.27% 5.20% 5.18% 5.22%

587 1,513 2,388 3,114 3,854 4,725 5,611 6,435 7,168 1237 4.80% 5.68% 5.97% 5.86% 5.82% 5.94% 6.05% 6.12% 6.16%

22 123 149 157 158 158 158 158 158 1351 0.18% 0.46% 0.37% 0.30% 0.24% 0.20% 0.17% 0.15% 0.14%%

918 2,053 2,897 3,988 5,307 6,699 7,942 9,297 10,595 1352 7.50% 7.71% 7.24% 7.50% 8.02% 8.42% 8.56% 8.84% 9.11%

Diablo Canyon Power Plant J7 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

ETE and Trip Generation Summer, Midweek, Midday, Good (Scenario 1)

Trip Generation ETE 100%

Percent of Total Vehicles 80%

60%

40%

20%

0%

0 60 120 180 240 300 360 420 480 540 600 660 720 Elapsed Time (min)

Figure J1. ETE and Trip Generation: Summer, Midweek, Midday, Good Weather (Scenario 1)

ETE and Trip Generation Summer, Midweek, Midday, Rain (Scenario 2)

Trip Generation ETE 100%

Percent of Total Vehicles 80%

60%

40%

20%

0%

0 60 120 180 240 300 360 420 480 540 600 660 720 Elapsed Time (min)

Figure J2. ETE and Trip Generation: Summer, Midweek, Midday, Rain (Scenario 2)

Diablo Canyon Power Plant J8 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

ETE and Trip Generation Summer, Weekend, Midday, Good (Scenario 3)

Trip Generation ETE 100%

Percent of Total Vehicles 80%

60%

40%

20%

0%

0 60 120 180 240 300 360 420 480 540 600 660 720 Elapsed Time (min)

Figure J3. ETE and Trip Generation: Summer, Weekend, Midday, Good Weather (Scenario 3)

ETE and Trip Generation Summer, Weekend, Midday, Rain (Scenario 4)

Trip Generation ETE 100%

Percent of Total Vehicles 80%

60%

40%

20%

0%

0 60 120 180 240 300 360 420 480 540 600 660 720 Elapsed Time (min)

Figure J4. ETE and Trip Generation: Summer, Weekend, Midday, Rain (Scenario 4)

Diablo Canyon Power Plant J9 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

ETE and Trip Generation Summer, Midweek, Weekend, Evening, Good (Scenario 5)

Trip Generation ETE 100%

Percent of Total Vehicles 80%

60%

40%

20%

0%

0 60 120 180 240 300 360 420 480 540 600 660 720 Elapsed Time (min)

Figure J5. ETE and Trip Generation: Summer, Midweek, Weekend, Evening, Good Weather (Scenario 5)

ETE and Trip Generation Winter, Midweek, Midday, Good (Scenario 6)

Trip Generation ETE 100%

Percent of Total Vehicles 80%

60%

40%

20%

0%

0 60 120 180 240 300 360 420 480 540 600 660 720 Elapsed Time (min)

Figure J6. ETE and Trip Generation: Winter, Midweek, Midday, Good Weather (Scenario 6)

Diablo Canyon Power Plant J10 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

ETE and Trip Generation Winter, Midweek, Midday, Rain (Scenario 7)

Trip Generation ETE 100%

Percent of Total Vehicles 80%

60%

40%

20%

0%

0 60 120 180 240 300 360 420 480 540 600 660 720 Elapsed Time (min)

Figure J7. ETE and Trip Generation: Winter, Midweek, Midday, Rain (Scenario 7)

ETE and Trip Generation Winter, Weekend, Midday, Good (Scenario 8)

Trip Generation ETE 100%

Percent of Total Vehicles 80%

60%

40%

20%

0%

0 60 120 180 240 300 360 420 480 540 600 660 720 Elapsed Time (min)

Figure J8. ETE and Trip Generation: Winter, Weekend, Midday, Good Weather (Scenario 8)

Diablo Canyon Power Plant J11 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

ETE and Trip Generation Winter, Weekend, Midday, Rain (Scenario 9)

Trip Generation ETE 100%

Percent of Total Vehicles 80%

60%

40%

20%

0%

0 60 120 180 240 300 360 420 480 540 600 660 720 Elapsed Time (min)

Figure J9. ETE and Trip Generation: Winter, Weekend, Midday, Rain (Scenario 9)

ETE and Trip Generation Winter, Midweek, Weekend, Evening, Good (Scenario 10)

Trip Generation ETE 100%

Percent of Total Vehicles 80%

60%

40%

20%

0%

0 60 120 180 240 300 360 420 480 540 600 660 720 Elapsed Time (min)

Figure J10. ETE and Trip Generation: Winter, Midweek, Weekend, Evening, Good Weather (Scenario 10)

Diablo Canyon Power Plant J12 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

ETE and Trip Generation Summer, Midweek, Weekend, Evening, Good, Special Event (Scenario 11)

Trip Generation ETE 100%

Percent of Total Vehicles 80%

60%

40%

20%

0%

0 60 120 180 240 300 360 420 480 540 600 660 720 Elapsed Time (min)

Figure J11. ETE and Trip Generation: Summer, Midweek, Weekend, Evening, Special Event (Scenario 11)

ETE and Trip Generation Summer, Midweek, Midday, Good, Roadway Impact (Scenario 12)

Trip Generation ETE 100%

Percent of Total Vehicles 80%

60%

40%

20%

0%

0 60 120 180 240 300 360 420 480 540 600 660 720 Elapsed Time (min)

Figure J12. ETE and Trip Generation: Summer, Midweek, Midday, Roadway Closure (Scenario 12)

Diablo Canyon Power Plant J13 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

K. EVACUATION ROADWAY NETWORK As discussed in Section 1.3, a linknode analysis network was constructed to model the roadway network within the study area. Figure K1 provides an overview of the linknode analysis network. The figure has been divided up into 36 more detailed figures (Figure K2 through Figure K37) which show each of the links and nodes in the network.

The analysis network was calibrated using the observations made during the field survey conducted in October 2011. Table K1 lists the characteristics of each roadway section modeled in the ETE analysis. Each link is identified by its road name and the upstream and downstream node numbers. The geographic location of each link can be observed by referencing the grid map number provided in Table K1. The roadway type identified in Table K1 is based on the following criteria:

Freeway: limited access highway, 2 or more lanes in each direction, high free flow speeds Freeway ramp: ramp on to or off of a limited access highway Major arterial: 3 or more lanes in each direction Minor arterial: 2 or more lanes in each direction Collector: single lane in each direction Local roadways: single lane in each direction, local roads with low free flow speeds The term, No. of Lanes in Table K1 identifies the number of lanes that extend throughout the length of the link. Many links have additional lanes on the immediate approach to an intersection (turn pockets); these have been recorded and entered into the input stream for the DYNEV II System.

As discussed in Section 1.3, lane width and shoulder width were not physically measured during the road survey. Rather, estimates of these measures were based on visual observations and recorded images.

Table K2 identifies each node in the network that is controlled and the type of control (stop sign, yield sign, pretimed signal, actuated signal, traffic control point) at that node.

Uncontrolled nodes are not included in Table K2. The location of each node can be observed by referencing the grid map number provided.

Diablo Canyon Power Plant K1 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Figure K1. Diablo Canyon LinkNode Analysis Network Diablo Canyon Power Plant K2 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Figure K2. LinkNode Analysis Network - Grid 1 Diablo Canyon Power Plant K3 KLD Engineering, P.C.

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Figure K3. LinkNode Analysis Network - Grid 2 Diablo Canyon Power Plant K4 KLD Engineering, P.C.

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Figure K4. LinkNode Analysis Network - Grid 3 Diablo Canyon Power Plant K5 KLD Engineering, P.C.

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Figure K5. LinkNode Analysis Network - Grid 4 Diablo Canyon Power Plant K6 KLD Engineering, P.C.

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Figure K6. LinkNode Analysis Network - Grid 5 Diablo Canyon Power Plant K7 KLD Engineering, P.C.

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Figure K7. LinkNode Analysis Network - Grid 6 Diablo Canyon Power Plant K8 KLD Engineering, P.C.

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Figure K8. LinkNode Analysis Network - Grid 7 Diablo Canyon Power Plant K9 KLD Engineering, P.C.

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Figure K9. LinkNode Analysis Network - Grid 8 Diablo Canyon Power Plant K10 KLD Engineering, P.C.

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Figure K10. LinkNode Analysis Network - Grid 9 Diablo Canyon Power Plant K11 KLD Engineering, P.C.

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Figure K11. LinkNode Analysis Network - Grid 10 Diablo Canyon Power Plant K12 KLD Engineering, P.C.

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Figure K12. LinkNode Analysis Network - Grid 11 Diablo Canyon Power Plant K13 KLD Engineering, P.C.

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Figure K13. LinkNode Analysis Network - Grid 12 Diablo Canyon Power Plant K14 KLD Engineering, P.C.

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Figure K14. LinkNode Analysis Network - Grid 13 Diablo Canyon Power Plant K15 KLD Engineering, P.C.

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Figure K15. LinkNode Analysis Network - Grid 14 Diablo Canyon Power Plant K16 KLD Engineering, P.C.

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Figure K16. LinkNode Analysis Network - Grid 15 Diablo Canyon Power Plant K17 KLD Engineering, P.C.

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Figure K17. LinkNode Analysis Network - Grid 16 Diablo Canyon Power Plant K18 KLD Engineering, P.C.

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Figure K18. LinkNode Analysis Network - Grid 17 Diablo Canyon Power Plant K19 KLD Engineering, P.C.

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Figure K19. LinkNode Analysis Network - Grid 18 Diablo Canyon Power Plant K20 KLD Engineering, P.C.

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Figure K20. LinkNode Analysis Network - Grid 19 Diablo Canyon Power Plant K21 KLD Engineering, P.C.

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Figure K21. LinkNode Analysis Network - Grid 20 Diablo Canyon Power Plant K22 KLD Engineering, P.C.

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Figure K22. LinkNode Analysis Network - Grid 21 Diablo Canyon Power Plant K23 KLD Engineering, P.C.

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Figure K23. LinkNode Analysis Network - Grid 22 Diablo Canyon Power Plant K24 KLD Engineering, P.C.

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Figure K24. LinkNode Analysis Network - Grid 23 Diablo Canyon Power Plant K25 KLD Engineering, P.C.

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Figure K25. LinkNode Analysis Network - Grid 24 Diablo Canyon Power Plant K26 KLD Engineering, P.C.

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Figure K26. LinkNode Analysis Network - Grid 25 Diablo Canyon Power Plant K27 KLD Engineering, P.C.

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Figure K27. LinkNode Analysis Network - Grid 26 Diablo Canyon Power Plant K28 KLD Engineering, P.C.

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Figure K28. LinkNode Analysis Network - Grid 27 Diablo Canyon Power Plant K29 KLD Engineering, P.C.

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Figure K29. LinkNode Analysis Network - Grid 28 Diablo Canyon Power Plant K30 KLD Engineering, P.C.

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Figure K30. LinkNode Analysis Network - Grid 29 Diablo Canyon Power Plant K31 KLD Engineering, P.C.

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Figure K31. LinkNode Analysis Network - Grid 30 Diablo Canyon Power Plant K32 KLD Engineering, P.C.

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Figure K32. LinkNode Analysis Network - Grid 31 Diablo Canyon Power Plant K33 KLD Engineering, P.C.

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Figure K33. LinkNode Analysis Network - Grid 32 Diablo Canyon Power Plant K34 KLD Engineering, P.C.

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Figure K34. LinkNode Analysis Network - Grid 33 Diablo Canyon Power Plant K35 KLD Engineering, P.C.

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Figure K35. LinkNode Analysis Network - Grid 34 Diablo Canyon Power Plant K36 KLD Engineering, P.C.

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Figure K36. LinkNode Analysis Network - Grid 37 Diablo Canyon Power Plant K37 KLD Engineering, P.C.

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Figure K37. LinkNode Analysis Network - Grid 36 Diablo Canyon Power Plant K38 KLD Engineering, P.C.

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Table K1. Evacuation Roadway Network Characteristics Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 1 5 6 US 101 FREEWAY 1568 2 12 10 2250 65 8 2 6 5 US 101 FREEWAY 1571 3 12 10 2250 65 8 3 6 1051 US 101 FREEWAY 3178 2 12 10 2250 70 8 4 7 8 US 101 FREEWAY 8026 2 12 10 2250 75 8 5 7 1051 US 101 FREEWAY 2005 2 12 10 2250 70 8 6 8 7 US 101 FREEWAY 8026 2 12 10 2250 75 8 7 8 9 US 101 FREEWAY 4903 2 12 10 2250 75 8 8 9 8 US 101 FREEWAY 4902 2 12 10 2250 75 8 9 9 137 US 101 FREEWAY 5575 2 12 10 2250 70 8 10 10 136 US 101 FREEWAY 3068 2 12 10 2250 65 12 11 10 1090 US 101 MINOR ARTERIAL 993 2 12 10 1900 65 12 12 11 558 US 101 MINOR ARTERIAL 1947 2 12 10 1900 65 12 13 11 1090 US 101 MINOR ARTERIAL 1614 2 12 10 1900 65 12 14 12 558 US 101 MINOR ARTERIAL 2431 2 12 10 1900 65 12 15 12 559 US 101 MINOR ARTERIAL 2050 2 12 10 1900 65 12 16 13 14 US 101 MAJOR ARTERIAL 1604 3 12 10 1900 65 12 17 13 559 US 101 MAJOR ARTERIAL 3134 3 12 10 1900 65 12 18 14 13 US 101 MAJOR ARTERIAL 1604 3 12 10 1900 65 12 19 14 15 US 101 MAJOR ARTERIAL 3221 3 12 10 1900 65 12 20 15 14 US 101 MAJOR ARTERIAL 3221 3 12 10 1900 65 12 21 15 16 US 101 MAJOR ARTERIAL 3212 3 12 10 1900 65 12 22 16 15 US 101 MAJOR ARTERIAL 3211 3 12 10 1900 65 12 23 16 17 US 101 MAJOR ARTERIAL 1685 3 12 10 1900 65 12 24 17 16 US 101 MAJOR ARTERIAL 1685 3 12 10 1900 65 12 25 17 18 US 101 MAJOR ARTERIAL 1803 3 12 10 1900 65 12 26 18 17 US 101 MAJOR ARTERIAL 1805 3 12 10 1900 65 12 27 18 19 US 101 MINOR ARTERIAL 2712 2 12 10 1900 65 18 28 19 18 US 101 MINOR ARTERIAL 2713 2 12 10 1900 65 18 29 19 20 US 101 MINOR ARTERIAL 1749 2 12 10 1900 65 18 30 20 19 US 101 MINOR ARTERIAL 1749 2 12 10 1900 65 18 Diablo Canyon Power Plant K39 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 31 20 21 US 101 MINOR ARTERIAL 3898 2 12 10 1900 65 18 32 21 20 US 101 MINOR ARTERIAL 3923 2 12 10 1900 65 18 33 21 557 US 101 FREEWAY 2275 2 12 10 2250 60 17 34 22 389 US 101 FREEWAY 2397 2 12 10 2250 60 17 35 22 557 US 101 FREEWAY 1436 2 12 10 2250 60 17 36 23 527 US 101 FREEWAY 345 2 12 10 2250 60 17 37 23 803 US 101 FREEWAY 605 2 12 10 2250 60 17 38 24 545 US 101 FREEWAY 679 2 12 10 2250 60 17 39 24 555 US 101 FREEWAY 2335 2 12 10 2250 60 17 40 25 315 US 101 FREEWAY 629 2 12 10 2250 60 19 41 25 571 US 101 FREEWAY 1068 2 12 10 2250 60 19 42 26 27 US 101 FREEWAY 3606 2 12 10 2250 70 22 43 26 189 US 101 FREEWAY 835 2 12 10 2250 60 16 44 27 26 US 101 FREEWAY 3626 2 12 10 2250 70 22 45 27 589 US 101 FREEWAY 1987 2 12 10 2250 70 22 46 28 589 US 101 FREEWAY 2281 2 12 10 2250 70 22 47 28 590 US 101 FREEWAY 978 2 12 10 2250 70 22 48 29 30 US 101 FREEWAY 3084 2 12 8 2250 70 22 49 29 590 US 101 FREEWAY 1952 2 12 8 2250 70 22 50 30 29 US 101 FREEWAY 3084 2 12 8 2250 70 22 51 30 591 US 101 FREEWAY 3069 2 12 8 2250 70 22 52 31 32 US 101 FREEWAY 3819 2 12 10 2250 60 22 53 31 591 US 101 FREEWAY 2215 2 12 10 2250 60 22 54 32 31 US 101 FREEWAY 3820 2 12 10 2250 60 22 55 32 603 US 101 FREEWAY 1213 3 12 10 2250 60 22 56 33 603 US 101 FREEWAY 1640 2 12 10 2250 70 22 57 33 612 US 101 FREEWAY 2964 3 12 10 2250 70 22 58 34 611 US 101 FREEWAY 1361 2 12 10 2250 70 25 59 34 612 US 101 FREEWAY 1679 2 12 10 2250 70 25 60 35 407 US 101 FREEWAY 843 2 12 10 2250 70 26 61 35 495 US 101 FREEWAY 776 2 12 10 2250 70 26 62 36 37 US 101 FREEWAY 4471 2 12 10 2250 70 27 Diablo Canyon Power Plant K40 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 63 36 631 US 101 FREEWAY 1747 2 12 10 2250 70 27 64 37 36 US 101 FREEWAY 4471 2 12 10 2250 70 27 65 37 38 US 101 FREEWAY 2257 2 12 10 2250 70 29 66 38 37 US 101 FREEWAY 2256 2 12 10 2250 70 29 67 38 39 US 101 FREEWAY 3250 2 12 10 2250 70 29 68 39 38 US 101 FREEWAY 3250 2 12 10 2250 70 29 69 39 664 US 101 FREEWAY 1123 2 12 10 2250 70 29 70 40 41 US 101 MINOR ARTERIAL 10968 2 12 8 1900 70 30 71 40 422 US 101 FREEWAY 2392 2 12 10 2250 70 30 72 41 40 US 101 MINOR ARTERIAL 10972 2 12 8 1900 70 30 73 41 709 US 101 MINOR ARTERIAL 4009 2 12 8 1900 70 32 74 42 709 US 101 FREEWAY 4885 2 12 8 2250 70 32 75 42 716 US 101 FREEWAY 2799 2 12 10 2250 70 32 76 43 44 US 101 FREEWAY 7494 2 12 10 2250 70 35 77 43 325 US 101 FREEWAY 8737 2 12 10 2250 70 33 78 44 43 US 101 FREEWAY 7494 2 12 10 2250 70 35 79 44 724 US 101 FREEWAY 3055 2 12 10 2250 70 35 80 45 46 US 101 FREEWAY 4361 3 12 8 2250 70 35 81 45 725 US 101 FREEWAY 4642 2 12 8 2250 70 35 82 46 45 US 101 FREEWAY 4361 3 12 8 2250 70 35 83 47 48 US 101 FREEWAY 850 2 12 10 2250 60 17 US 101 SB OFF RAMP ONTO OLIVE 84 47 520 ST FREEWAY RAMP 561 1 12 4 1350 30 17 85 47 525 US 101 FREEWAY 521 2 12 10 2250 60 17 86 48 47 US 101 FREEWAY 850 2 12 10 2250 60 17 US 101 NB OFF RAMP ONTO 87 48 523 WALNUT ST FREEWAY RAMP 600 1 12 4 1350 30 17 88 48 524 US 101 FREEWAY 465 2 12 10 2250 60 17 89 49 191 SH 1 MINOR ARTERIAL 691 2 12 3 1750 40 17 90 49 520 OLIVE ST COLLECTOR 457 1 12 12 1700 45 17 91 49 521 OLIVE ST COLLECTOR 507 1 12 12 1700 45 17 92 49 802 SH 1 MINOR ARTERIAL 371 2 12 3 1900 40 17 Diablo Canyon Power Plant K41 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 93 50 385 SH 1 MINOR ARTERIAL 2284 2 12 4 1750 45 17 94 50 517 SH 1 MINOR ARTERIAL 1198 2 12 4 1750 40 17 95 51 52 SH 1 MINOR ARTERIAL 3081 2 12 4 1900 70 16 96 51 385 SH 1 MINOR ARTERIAL 3129 2 12 4 1750 60 17 97 52 51 SH 1 MINOR ARTERIAL 3081 2 12 4 1900 70 16 98 52 516 SH 1 MINOR ARTERIAL 2273 2 12 4 1900 70 16 99 53 54 SH 1 MINOR ARTERIAL 4317 2 12 4 1900 65 11 100 53 516 SH 1 MINOR ARTERIAL 2238 2 12 4 1900 65 11 101 54 53 SH 1 MINOR ARTERIAL 4321 2 12 4 1750 65 11 102 54 513 SH 1 MINOR ARTERIAL 1640 2 12 4 1750 65 11 103 55 513 SH 1 MINOR ARTERIAL 2897 2 12 4 1750 65 11 104 55 1067 SH 1 MINOR ARTERIAL 738 2 12 4 1750 65 11 105 56 57 SH 1 MINOR ARTERIAL 2667 2 12 4 1750 65 11 106 56 1067 SH 1 MINOR ARTERIAL 3084 2 12 4 1900 65 11 107 57 56 SH 1 MINOR ARTERIAL 2667 2 12 4 1750 65 11 108 57 58 SH 1 MINOR ARTERIAL 5504 2 12 6 1900 70 11 109 58 57 SH 1 MINOR ARTERIAL 5507 2 12 6 1750 70 11 110 58 59 SH 1 MINOR ARTERIAL 7113 2 12 6 1900 70 11 111 59 58 SH 1 MINOR ARTERIAL 7116 2 12 6 1900 70 11 112 59 60 SH 1 MINOR ARTERIAL 9886 2 12 6 1900 70 10 113 60 59 SH 1 MINOR ARTERIAL 9885 2 12 6 1900 70 10 114 60 170 SH 1 FREEWAY 3751 2 12 6 2250 65 10 115 61 169 SH 1 FREEWAY 2585 2 12 4 2250 60 10 116 61 177 SH 1 FREEWAY 1216 2 12 4 2250 60 10 117 62 76 SH 1 FREEWAY 2120 2 12 4 2250 60 10 118 62 177 SH 1 FREEWAY 3945 2 12 4 2250 60 10 119 63 75 SH 1 FREEWAY 868 2 12 4 2250 60 10 120 63 76 SH 1 FREEWAY 1366 2 12 4 2250 60 10 121 64 362 SH 1 MINOR ARTERIAL 3083 2 12 4 1750 60 5 122 64 364 SH 1 MINOR ARTERIAL 1478 2 12 4 1750 70 5 123 65 364 SH 1 MINOR ARTERIAL 1992 2 12 4 1750 55 5 124 65 839 SH 1 MINOR ARTERIAL 4771 2 12 6 1750 55 5 Diablo Canyon Power Plant K42 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 125 66 67 SH 1 MINOR ARTERIAL 2073 2 12 4 1900 55 5 126 66 839 SH 1 MINOR ARTERIAL 3021 2 12 6 1750 55 5 127 66 846 OLD CREEK RD COLLECTOR 149 1 12 3 1700 35 5 128 67 66 SH 1 MINOR ARTERIAL 2073 2 12 4 1750 55 5 129 67 497 SH 1 MINOR ARTERIAL 2503 2 12 4 1900 55 5 130 68 357 SH 1 FREEWAY 2538 2 12 8 2250 65 5 131 68 497 SH 1 FREEWAY 3699 2 12 8 2250 65 5 132 69 358 SH 1 MINOR ARTERIAL 2218 2 12 8 1900 65 5 133 69 496 SH 1 COLLECTOR 6569 1 12 10 1700 60 5 134 70 71 SH 1 COLLECTOR 11659 1 12 10 1700 60 1 135 70 496 SH 1 COLLECTOR 5439 1 12 10 1700 60 5 136 71 70 SH 1 COLLECTOR 11656 1 12 10 1700 60 1 137 71 72 SH 1 COLLECTOR 3355 1 12 10 1700 60 1 138 72 71 SH 1 COLLECTOR 3302 1 12 10 1700 60 1 139 72 73 SH 1 COLLECTOR 1367 1 12 10 1700 60 1 140 73 72 SH 1 COLLECTOR 1367 1 12 10 1700 60 1 141 73 74 SH 1 COLLECTOR 2479 1 12 10 1700 60 1 142 74 73 SH 1 COLLECTOR 2479 1 12 10 1700 60 1 143 75 63 SH 1 FREEWAY 868 2 12 4 2250 60 10 144 75 77 SH 1 OFF RAMP TO SH 41 FREEWAY RAMP 928 1 12 4 1700 45 10 145 75 362 SH 1 FREEWAY 4276 2 12 4 1750 60 6 146 76 62 SH 1 FREEWAY 2118 2 12 4 2250 60 10 147 76 63 SH 1 FREEWAY 1366 2 12 4 2250 60 10 148 76 830 SH 1 OFF RAMP TO SH 41 FREEWAY RAMP 1093 1 12 4 1700 45 10 149 77 76 SH 1 ON RAMP FROM SH 41 FREEWAY RAMP 1369 1 12 4 1700 45 10 150 77 78 SH 41 COLLECTOR 365 1 12 4 1750 40 10 151 78 75 SH 1 ON RAMP FROM SH 41 FREEWAY RAMP 899 1 12 4 1700 45 10 152 78 829 SH 41 COLLECTOR 174 1 12 4 1700 40 10 153 79 80 SH 41 COLLECTOR 2882 1 12 4 1700 50 6 154 80 81 SH 41 COLLECTOR 4576 1 12 4 1700 60 6 155 81 82 SH 41 COLLECTOR 5133 1 12 4 1700 60 6 156 82 83 SH 41 COLLECTOR 3096 1 12 4 1700 60 6 Diablo Canyon Power Plant K43 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 157 83 84 SH 41 COLLECTOR 3669 1 12 4 1700 60 6 158 84 85 SH 41 COLLECTOR 4344 1 12 4 1700 60 6 159 85 501 SH 41 COLLECTOR 1201 1 12 4 1700 55 6 160 86 502 SH 41 COLLECTOR 1822 1 12 4 1700 40 6 161 87 88 SH 41 COLLECTOR 1812 1 12 4 1700 40 7 162 88 89 SH 41 COLLECTOR 1897 1 12 4 1700 40 7 163 89 90 SH 41 COLLECTOR 2775 1 12 4 1700 40 7 164 90 91 SH 41 COLLECTOR 1271 1 12 4 1700 55 7 165 91 92 SH 41 COLLECTOR 2077 1 12 4 1700 55 7 166 92 93 SH 41 COLLECTOR 4173 1 12 4 1700 55 7 167 93 94 SH 41 COLLECTOR 1861 1 12 4 1700 55 7 168 94 95 SH 41 COLLECTOR 2126 1 12 4 1700 55 7 169 95 96 SH 41 COLLECTOR 2582 1 12 4 1700 55 3 170 96 97 SH 41 COLLECTOR 1276 1 12 4 1700 55 3 171 97 98 SH 41 COLLECTOR 2065 1 12 4 1700 55 3 172 98 99 SH 41 COLLECTOR 1823 1 12 4 1700 55 7 173 99 100 SH 41 COLLECTOR 2667 1 12 4 1700 55 7 174 100 101 SH 41 COLLECTOR 3968 1 12 4 1700 55 7 175 101 102 SH 41 COLLECTOR 429 1 12 4 1700 40 7 176 102 103 SH 41 COLLECTOR 917 1 12 4 1700 40 7 177 103 104 SH 41 COLLECTOR 2680 1 12 4 1700 50 7 178 104 105 SH 41 COLLECTOR 696 1 12 4 1700 50 7 179 105 106 SH 41 COLLECTOR 1379 1 12 4 1700 50 7 180 106 107 SH 41 COLLECTOR 1109 1 12 4 1700 50 8 181 107 108 SH 41 COLLECTOR 670 1 12 4 1700 45 8 182 108 109 SH 41 COLLECTOR 1864 1 12 4 1750 45 4 183 109 110 SH 41 COLLECTOR 2781 1 12 4 1750 45 4 184 114 499 OLD CREEK RD COLLECTOR 755 1 12 3 1700 50 5 185 115 116 OLD CREEK RD COLLECTOR 2227 1 12 3 1700 50 5 186 116 117 OLD CREEK RD COLLECTOR 1227 1 12 3 1700 50 5 187 117 118 OLD CREEK RD COLLECTOR 1729 1 12 3 1700 50 5 188 118 119 OLD CREEK RD COLLECTOR 971 1 12 4 1700 50 5 Diablo Canyon Power Plant K44 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 189 119 120 OLD CREEK RD COLLECTOR 2087 1 12 4 1700 50 2 190 120 121 OLD CREEK RD COLLECTOR 1275 1 12 4 1700 50 2 191 121 122 OLD CREEK RD COLLECTOR 1767 1 12 4 1700 50 2 192 122 123 OLD CREEK RD COLLECTOR 1056 1 10 4 1575 35 2 193 123 124 OLD CREEK RD COLLECTOR 1206 1 10 4 1575 35 2 194 124 125 OLD CREEK RD COLLECTOR 1734 1 10 4 1700 40 2 195 125 126 OLD CREEK RD COLLECTOR 3933 1 10 4 1700 50 2 196 126 127 OLD CREEK RD COLLECTOR 1073 1 10 4 1700 50 2 197 127 128 OLD CREEK RD COLLECTOR 1668 1 10 4 1700 50 2 198 128 129 OLD CREEK RD COLLECTOR 1771 1 10 4 1700 40 2 199 129 130 OLD CREEK RD COLLECTOR 1590 1 10 4 1700 40 2 200 130 131 OLD CREEK RD COLLECTOR 1759 1 10 4 1700 40 2 201 131 132 OLD CREEK RD COLLECTOR 1791 1 10 4 1700 40 2 202 132 500 OLD CREEK RD COLLECTOR 1030 1 10 4 1575 35 2 203 133 134 OLD CREEK RD COLLECTOR 1599 1 10 4 675 15 2 204 134 135 OLD CREEK RD COLLECTOR 1593 1 10 4 1700 40 2 205 136 10 US 101 FREEWAY 3068 2 12 10 2250 65 12 206 136 152 US 101 FREEWAY 703 2 12 10 2250 65 12 207 137 9 US 101 FREEWAY 5581 2 12 10 2250 70 8 208 137 152 US 101 FREEWAY 2155 2 12 10 2250 65 12 209 138 139 SH 58 COLLECTOR 2928 1 12 6 1700 60 12 210 139 140 SH 58 COLLECTOR 5304 1 12 15 1700 45 8 211 140 141 EL CAMINO REAL COLLECTOR 7405 1 12 4 1700 60 8 212 140 822 SH 58 COLLECTOR 216 1 12 4 675 15 8 213 141 142 EL CAMINO REAL COLLECTOR 4790 1 12 4 1700 60 8 214 142 1048 EL CAMINO REAL COLLECTOR 5850 1 12 4 1700 60 8 215 143 144 SH 58 COLLECTOR 1136 1 12 4 1700 45 8 216 144 145 SH 58 COLLECTOR 901 1 12 4 1700 45 8 217 145 146 SH 58 COLLECTOR 2688 1 12 4 1700 50 9 218 146 147 SH 58 COLLECTOR 2020 1 12 4 1700 50 9 219 147 148 SH 58 COLLECTOR 1615 1 12 4 1700 45 9 220 148 149 SH 58 COLLECTOR 658 1 12 4 1700 50 9 Diablo Canyon Power Plant K45 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 221 149 150 SH 58 COLLECTOR 3968 1 12 4 1700 50 9 222 152 136 US 101 FREEWAY 703 2 12 10 2250 65 12 223 152 137 US 101 FREEWAY 2153 2 12 10 2250 65 12 224 152 138 US 101 OFF RAMP TO SH 58 FREEWAY RAMP 1195 1 12 12 1700 45 12 225 154 155 LOS OSOS VALLEY RD COLLECTOR 1312 1 12 6 1750 45 10 226 155 1000 LOS OSOS VALLEY RD COLLECTOR 1389 1 12 6 1700 45 10 227 156 157 LOS OSOS VALLEY RD COLLECTOR 901 2 12 6 1750 45 10 228 157 158 LOS OSOS VALLEY RD COLLECTOR 1057 2 12 6 1750 45 10 229 158 891 LOS OSOS VALLEY RD COLLECTOR 325 2 12 6 1750 35 10 230 159 160 S BAY BLVD COLLECTOR 2412 1 12 3 1700 55 10 231 159 179 LOS OSOS VALLEY RD COLLECTOR 3177 2 12 4 1900 50 15 232 160 159 S BAY BLVD COLLECTOR 2411 1 12 3 1750 55 10 233 160 161 S BAY BLVD COLLECTOR 1390 1 12 3 1700 55 10 234 161 507 S BAY BLVD COLLECTOR 2351 1 12 3 1750 55 10 235 162 163 S BAY BLVD COLLECTOR 3826 1 12 4 1700 50 10 236 163 164 S BAY BLVD COLLECTOR 2396 1 12 4 1700 50 10 237 164 165 S BAY BLVD COLLECTOR 1013 1 12 4 1700 50 10 238 165 504 S BAY BLVD COLLECTOR 1567 1 12 4 1700 45 10 239 166 167 S BAY BLVD COLLECTOR 1894 1 12 3 1700 50 10 240 167 168 S BAY BLVD COLLECTOR 1173 1 12 3 1700 50 10 241 168 505 S BAY BLVD COLLECTOR 498 1 12 4 1700 45 10 242 169 61 SH 1 FREEWAY 2585 2 12 4 2250 60 10 243 169 170 SH 1 FREEWAY 1824 2 12 4 2250 60 10 244 170 60 SH 1 MINOR ARTERIAL 3751 2 12 6 1900 65 10 245 170 169 SH 1 FREEWAY 1824 2 12 4 2250 60 10 246 171 757 MAIN ST COLLECTOR 1879 1 12 4 1575 35 10 247 172 750 MAIN ST COLLECTOR 369 1 12 4 1350 30 10 248 172 755 MORRO BAY BLVD COLLECTOR 1952 1 12 12 1350 30 10 249 173 62 SH 1 SB ON RAMP FROM MAIN ST FREEWAY RAMP 538 1 12 4 1700 45 10 250 173 175 MAIN ST COLLECTOR 472 1 12 4 1700 45 10 SH 1 SB ON RAMP FROM MORRO 251 174 61 BAY BLVD FREEWAY RAMP 1779 1 12 4 1700 45 10 Diablo Canyon Power Plant K46 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 252 174 176 MORRO BAY BLVD COLLECTOR 518 1 12 4 1575 35 10 253 175 861 MAIN ST COLLECTOR 1139 1 12 4 1700 45 10 254 176 178 MORRO BAY BLVD COLLECTOR 351 1 12 4 1575 35 10 255 177 61 SH 1 FREEWAY 1216 2 12 4 2250 60 10 256 177 62 SH 1 FREEWAY 3945 2 12 4 2250 60 10 SH 1 NB ON RAMP FROM MORRO 257 178 177 BAY BLVD FREEWAY RAMP 396 1 12 4 1575 35 10 258 179 159 LOS OSOS VALLEY RD COLLECTOR 3178 2 12 4 1750 50 15 259 179 973 LOS OSOS VALLEY RD COLLECTOR 4588 1 12 3 1700 60 15 260 180 181 LOS OSOS VALLEY RD COLLECTOR 2300 1 12 3 1700 60 15 261 181 182 LOS OSOS VALLEY RD COLLECTOR 2614 1 12 3 1700 60 15 262 182 183 LOS OSOS VALLEY RD COLLECTOR 2391 1 12 3 1700 60 15 263 183 381 LOS OSOS VALLEY RD MINOR ARTERIAL 4718 2 12 3 1900 60 16 264 184 382 W FOOTHILLS RD COLLECTOR 2133 1 12 4 1700 45 16 265 184 1085 LOS OSOS VALLEY RD COLLECTOR 1992 1 12 12 1700 60 16 266 185 584 LOS OSOS VALLEY RD MINOR ARTERIAL 1478 2 12 12 1750 60 16 267 186 576 LOS OSOS VALLEY RD MAJOR ARTERIAL 1556 2 12 12 1750 60 16 268 186 897 MADONNA RD MINOR ARTERIAL 2199 2 12 4 1750 45 16 US 101 SB ON RAMP FROM LOS 269 187 26 OSOS VALLEY RD FREEWAY RAMP 1377 1 12 4 1700 45 16 270 187 780 LOS OSOS VALLEY RD COLLECTOR 110 1 12 4 1700 60 16 US 101 NB ON RAMP FROM LOS 271 188 190 OSOS VALLEY RD FREEWAY RAMP 308 1 12 4 1700 45 16 272 188 780 LOS OSOS VALLEY RD MINOR ARTERIAL 787 2 12 4 1900 60 16 273 189 26 US 101 FREEWAY 835 2 12 10 2250 60 16 274 189 571 US 101 FREEWAY 5704 2 12 10 2250 60 16 US 101 NB ON RAMP FROM LOS 275 190 189 OSOS VALLEY RD FREEWAY RAMP 354 1 12 4 1700 45 16 276 191 49 SH 1 MINOR ARTERIAL 691 2 12 3 1750 40 17 277 191 522 WALNUT ST COLLECTOR 470 1 12 4 1750 25 17 278 191 523 WALNUT ST COLLECTOR 488 1 12 4 1125 25 17 279 192 510 SANTA ROSA ST MINOR ARTERIAL 289 2 12 12 1750 25 17 Diablo Canyon Power Plant K47 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 280 192 533 HIGUERA ST MAJOR ARTERIAL 503 3 12 12 1750 30 17 281 193 529 MARSH ST MAJOR ARTERIAL 598 3 12 12 1750 30 17 282 193 536 BROAD ST COLLECTOR 331 1 12 12 1750 30 17 283 193 806 BROAD ST COLLECTOR 343 1 12 12 1750 30 19 284 194 195 RT 227 MINOR ARTERIAL 5249 2 12 4 1750 50 19 285 194 569 ORCUTT RD MINOR ARTERIAL 2000 2 12 3 1750 45 19 286 195 923 RT 227 MINOR ARTERIAL 2906 2 12 6 1750 60 19 287 196 197 RT 227 COLLECTOR 3783 1 12 6 1750 60 23 288 197 198 RT 227 COLLECTOR 1623 1 12 6 1700 60 23 289 198 199 RT 227 COLLECTOR 2831 1 12 6 1700 60 23 290 199 200 RT 227 COLLECTOR 2443 1 12 6 1700 55 23 291 199 602 BIDDLE RANCH RD COLLECTOR 6027 1 10 0 1700 50 23 292 200 201 RT 227 COLLECTOR 2458 1 12 6 1700 55 23 293 201 406 RT 227 COLLECTOR 1087 1 12 6 1750 55 23 294 202 203 RT 227 COLLECTOR 970 1 12 6 1700 55 23 295 203 640 RT 227 COLLECTOR 1502 1 12 6 1700 60 23 296 203 684 CORBETT CANYON RD COLLECTOR 4977 1 12 0 1700 55 23 297 204 205 RT 227 COLLECTOR 2079 1 12 6 1700 60 23 298 205 206 RT 227 COLLECTOR 4254 1 12 0 1700 60 23 299 206 207 RT 227 COLLECTOR 2598 1 12 0 1575 35 24 300 207 208 RT 227 COLLECTOR 941 1 12 0 1700 40 30 301 207 438 NOYES RD COLLECTOR 537 1 10 0 1700 50 30 302 208 209 RT 227 COLLECTOR 2281 1 12 0 1700 40 30 303 209 695 RT 227 COLLECTOR 733 1 12 0 1350 30 30 304 210 211 RT 227 COLLECTOR 1217 1 12 0 1575 35 30 305 211 212 RT 227 COLLECTOR 2333 1 12 0 1700 40 30 306 212 213 RT 227 COLLECTOR 1463 1 12 0 1575 35 30 307 213 214 RT 227 COLLECTOR 933 1 12 0 1700 45 30 308 214 215 RT 227 COLLECTOR 2137 1 10 0 1700 45 30 309 215 216 RT 227 COLLECTOR 1120 1 10 0 1750 50 30 310 216 649 RT 227 COLLECTOR 205 1 12 1 1700 40 30 311 216 699 PRINTZ RD COLLECTOR 326 1 12 0 1700 45 30 Diablo Canyon Power Plant K48 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 312 217 218 RT 227 COLLECTOR 1450 1 12 1 1700 45 30 313 217 649 RT 227 COLLECTOR 441 1 12 1 1350 35 30 314 218 219 RT 227 COLLECTOR 1102 1 12 1 1700 40 30 315 219 220 RT 227 COLLECTOR 616 1 12 4 1700 40 30 316 220 221 RT 227 COLLECTOR 1727 1 12 4 1750 40 30 317 221 222 RT 227 COLLECTOR 1651 1 12 4 1750 30 30 318 222 421 TRAFFIC WAY MINOR ARTERIAL 1827 2 12 4 1750 45 30 319 222 671 RT 227 COLLECTOR 218 2 12 4 1900 30 30 320 223 420 E GRAND AVE COLLECTOR 1033 1 12 4 1750 45 29 321 223 464 E GRAND AVE COLLECTOR 1465 2 12 4 1750 40 29 322 224 932 E GRAND AVE COLLECTOR 284 2 12 4 1700 40 29 323 225 226 E GRAND AVE COLLECTOR 2153 1 12 3 1750 40 29 324 225 471 N HALCYON RD COLLECTOR 1613 1 12 4 1750 45 29 325 225 472 S HALCYON RD MINOR ARTERIAL 2184 2 12 0 1750 45 29 326 226 225 E GRAND AVE COLLECTOR 2153 2 12 3 1750 40 29 327 226 423 GRAND AVE COLLECTOR 634 1 12 4 1350 30 29 328 226 424 US 101 ON RAMP FROM GRAND AVE FREEWAY RAMP 1085 1 12 4 1700 45 30 329 227 228 VALLEY RD COLLECTOR 1034 1 12 3 1700 50 30 330 227 421 FAIR OAKS RD COLLECTOR 2198 2 12 3 1750 35 30 331 228 227 VALLEY RD COLLECTOR 1034 2 12 4 1750 45 30 332 228 1011 VALLEY RD COLLECTOR 2652 1 12 3 1700 50 30 333 229 230 SH 1 COLLECTOR 704 1 12 1 1700 45 30 334 230 231 SH 1 COLLECTOR 1567 1 12 1 1700 45 32 335 231 232 SH 1 COLLECTOR 441 1 12 1 1575 35 32 336 232 233 SH 1 COLLECTOR 3088 1 12 1 1700 45 31 337 233 234 SH 1 COLLECTOR 1093 1 12 1 1750 45 31 338 234 235 SH 1 COLLECTOR 2698 1 12 3 1700 45 31 339 235 236 SH 1 COLLECTOR 4520 1 12 3 1700 45 31 340 236 237 SH 1 COLLECTOR 3732 1 12 3 1700 55 31 341 237 238 SH 1 COLLECTOR 2190 1 12 4 1700 55 31 342 238 717 SH 1 COLLECTOR 5683 1 12 4 1700 55 31 343 239 240 SH 1 COLLECTOR 1207 1 12 4 1700 55 32 Diablo Canyon Power Plant K49 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 344 240 241 SH 1 COLLECTOR 1195 1 12 4 1700 55 32 345 241 242 SH 1 COLLECTOR 2994 1 12 4 1700 55 32 346 242 730 SH 1 COLLECTOR 2783 1 12 4 1700 55 32 347 243 748 SH 1 COLLECTOR 5093 1 12 4 1750 60 34 348 244 245 SH 1 COLLECTOR 1575 1 12 4 1575 35 34 349 244 1096 SIMAS RD COLLECTOR 4392 1 12 4 1700 45 34 350 246 429 SH 1 COLLECTOR 1220 1 12 12 1700 40 29 351 274 275 PECHO VALLEY RD COLLECTOR 2068 1 12 2 1700 45 14 352 275 154 PECHO VALLEY RD COLLECTOR 1933 1 12 2 1700 45 10 353 279 280 DIABLO CANYON RD COLLECTOR 2934 1 12 4 1700 50 21 354 280 281 DIABLO CANYON RD COLLECTOR 2064 1 12 4 1700 50 21 355 281 282 PECHO RD COLLECTOR 2541 1 12 4 1700 50 21 356 282 283 PECHO RD COLLECTOR 1926 1 12 4 1700 50 21 357 283 284 PECHO RD COLLECTOR 1353 1 12 4 1700 50 21 358 284 509 PECHO RD COLLECTOR 2067 1 12 4 1700 50 21 359 285 286 PECHO RD COLLECTOR 2792 1 12 4 1700 50 21 360 286 287 PECHO RD COLLECTOR 3656 1 12 4 1700 50 21 361 287 288 PECHO RD COLLECTOR 1739 1 12 4 1700 40 21 362 288 289 PECHO RD COLLECTOR 1214 1 12 4 1700 50 21 363 289 290 PECHO RD COLLECTOR 1463 1 12 4 1700 50 21 364 290 291 PECHO RD COLLECTOR 1183 1 12 4 1700 50 21 365 291 292 PECHO RD COLLECTOR 1087 1 12 4 1700 50 21 366 292 293 PECHO RD COLLECTOR 1554 1 12 4 1700 50 21 367 293 294 PECHO RD COLLECTOR 1313 1 12 4 1350 30 22 368 294 295 PECHO RD COLLECTOR 1814 1 12 4 1700 50 22 369 295 296 PECHO RD COLLECTOR 1206 1 12 4 1700 50 22 370 296 297 PECHO RD COLLECTOR 1104 1 12 4 1700 50 22 371 297 298 AVILA BEACH DR COLLECTOR 4617 1 12 12 1700 45 22 372 298 905 AVILA BEACH DR COLLECTOR 1646 1 12 3 1750 45 22 373 299 300 AVILA BEACH DR COLLECTOR 2303 1 12 3 1700 50 22 374 300 301 AVILA BEACH DR COLLECTOR 1462 1 12 3 1700 50 22 375 301 302 AVILA BEACH DR COLLECTOR 1237 1 12 3 1700 50 22 Diablo Canyon Power Plant K50 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 376 302 303 AVILA BEACH DR COLLECTOR 1529 1 12 3 1700 50 22 377 303 904 AVILA BEACH DR COLLECTOR 985 1 12 4 1750 50 22 378 304 305 AVILA BEACH DR COLLECTOR 1424 1 12 3 1700 50 22 379 304 904 AVILA BEACH DR COLLECTOR 951 1 12 3 1750 50 22 380 305 306 AVILA BEACH DR COLLECTOR 1829 1 12 3 1700 50 22 381 306 307 AVILA BEACH DR COLLECTOR 1315 1 12 3 1700 50 22 382 307 604 AVILA BEACH DR COLLECTOR 1007 1 12 3 1700 45 22 US 1 ON RAMP FROM AVILA BEACH 383 308 33 DR FREEWAY RAMP 1751 1 12 4 1700 45 22 384 308 309 AVILA BEACH DR COLLECTOR 376 1 12 3 1700 45 22 US 1 ON RAMP FROM AVILA BEACH 385 309 991 DR FREEWAY RAMP 1066 1 12 4 1700 45 22 US 101 SB ON RAMP FROM 386 310 25 MADONNA RD FREEWAY RAMP 1361 1 12 4 1700 60 19 387 310 311 MADONNA RD MINOR ARTERIAL 1331 3 12 4 1750 45 19 388 311 310 MADONNA RD COLLECTOR 1332 1 12 4 1750 45 19 389 311 312 MADONNA RD MINOR ARTERIAL 634 2 12 4 1750 45 19 US 101 NB ON RAMP FROM 390 311 786 MADONNA RD MINOR ARTERIAL 317 2 12 4 1900 45 19 391 312 311 MADONNA RD MINOR ARTERIAL 634 2 12 4 1750 45 19 392 312 556 HIGUERA ST MINOR ARTERIAL 501 2 12 3 1750 45 19 393 313 1070 RT 227 MINOR ARTERIAL 1628 2 12 3 1700 45 19 394 314 315 US 101 FREEWAY 2089 2 12 10 2250 60 19 395 314 554 US 101 FREEWAY 1473 2 12 10 2250 60 19 396 315 25 US 101 FREEWAY 629 2 12 10 2250 60 19 US 101 NB OFF RAMP TO 397 315 311 MADONNA RD FREEWAY RAMP 1572 1 12 4 1750 60 19 398 315 314 US 101 FREEWAY 2089 2 12 10 2250 60 19 399 316 317 POMEROY RD COLLECTOR 1531 1 12 3 1700 55 32 400 316 1004 WILLOW RD COLLECTOR 6300 1 12 6 1700 50 32 401 317 728 POMEROY RD COLLECTOR 2201 1 12 3 1700 55 32 402 318 729 POMEROY RD COLLECTOR 1072 1 12 4 1575 35 32 Diablo Canyon Power Plant K51 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 403 319 320 POMEROY RD COLLECTOR 1030 1 12 4 1700 45 32 404 320 321 POMEROY RD COLLECTOR 1215 2 12 4 1750 45 32 405 321 743 W TEFFT ST COLLECTOR 810 1 12 4 1750 45 32 406 321 914 W TEFFT ST COLLECTOR 3105 2 12 4 1750 45 33 US 1 SB ON RAMP FROM W TEFFT 407 322 325 ST FREEWAY RAMP 1300 1 12 4 1700 60 33 408 322 715 W TEFFT ST COLLECTOR 458 1 12 4 1750 45 33 409 324 325 US 101 FREEWAY 2099 2 12 10 2250 70 33 410 324 716 US 101 FREEWAY 13877 2 12 10 2250 70 32 411 325 43 US 101 FREEWAY 8737 2 12 10 2250 70 33 412 325 324 US 101 FREEWAY 2099 2 12 10 2250 70 33 413 326 336 ORCUTT RD COLLECTOR 1892 1 12 0 1700 55 20 414 327 326 ORCUTT RD COLLECTOR 5146 1 12 3 1700 60 20 415 328 327 JOHNSON AVE COLLECTOR 2754 1 12 12 1700 40 19 416 328 329 JOHNSON AVE MINOR ARTERIAL 1214 2 12 12 1700 45 19 417 329 330 JOHNSON AVE MINOR ARTERIAL 2097 2 12 12 1750 45 19 418 330 331 JOHNSON AVE MINOR ARTERIAL 1364 2 12 12 1750 45 19 419 331 332 JOHNSON AVE MINOR ARTERIAL 744 2 12 12 1750 45 17 420 332 333 JOHNSON AVE MINOR ARTERIAL 726 2 12 12 1900 45 17 421 333 334 JOHNSON AVE MINOR ARTERIAL 443 2 12 12 1900 25 17 422 333 526 SAN LUIS DR COLLECTOR 738 1 12 12 1700 45 17 423 334 335 JOHNSON AVE COLLECTOR 1139 1 12 12 1750 25 17 424 335 532 JOHNSON AVE COLLECTOR 304 1 12 12 1125 25 17 425 335 552 MARSH ST COLLECTOR 998 1 12 12 1700 45 17 426 336 337 ORCUTT RD COLLECTOR 2667 1 12 0 1700 55 20 427 337 338 ORCUTT RD COLLECTOR 3383 1 12 0 1700 55 23 428 338 602 ORCUTT RD COLLECTOR 6916 1 12 0 1700 55 23 429 339 340 ORCUTT RD COLLECTOR 4415 1 12 0 1700 55 23 430 340 341 ORCUTT RD COLLECTOR 3169 1 12 0 1700 55 24 431 341 342 ORCUTT RD COLLECTOR 3113 1 12 0 1700 60 24 432 342 343 ORCUTT RD COLLECTOR 3875 1 12 0 1700 60 24 433 343 344 ORCUTT RD COLLECTOR 2218 1 12 0 1700 60 24 Diablo Canyon Power Plant K52 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 434 344 345 ORCUTT RD COLLECTOR 5534 1 12 0 1700 60 24 435 345 346 ORCUTT RD COLLECTOR 1707 1 12 0 1700 50 24 436 346 347 LOPEZ RD COLLECTOR 2318 1 12 0 1750 60 24 437 347 348 LOPEZ RD COLLECTOR 3255 1 12 2 1700 50 30 438 348 349 LOPEZ RD COLLECTOR 2065 1 12 2 1700 50 30 439 349 350 LOPEZ RD COLLECTOR 5528 1 12 2 1700 60 30 440 350 351 LOPEZ RD COLLECTOR 1835 1 12 2 1700 60 30 441 351 352 LOPEZ RD COLLECTOR 1067 1 12 2 1700 60 30 442 352 353 LOPEZ RD COLLECTOR 1319 1 12 2 1700 60 30 443 353 354 LOPEZ RD COLLECTOR 1284 1 12 2 1700 60 30 444 354 355 HUASNA RD COLLECTOR 3110 1 12 2 1700 50 30 445 355 356 HUASNA RD COLLECTOR 2322 1 12 2 1700 50 30 446 356 219 E. BRANCH ST COLLECTOR 583 1 12 1 1700 40 30 447 357 68 SH 1 FREEWAY 2542 2 12 8 2250 65 5 448 357 358 SH 1 FREEWAY 1144 2 12 8 2250 65 5 449 358 69 SH 1 MINOR ARTERIAL 2213 2 12 8 1900 65 5 450 358 357 SH 1 FREEWAY 1144 2 12 8 2250 65 5 451 359 360 CAYUCOS DR COLLECTOR 1192 1 12 12 1575 35 5 US 101 SB ON RAMP FROM 452 360 357 CAYUCOS DR FREEWAY RAMP 541 1 12 10 1700 45 5 453 360 361 CAYUCOS DR COLLECTOR 506 1 12 10 1575 35 5 US 101 NB ON RAMP FROM 454 361 358 CAYUCOS DR FREEWAY RAMP 796 1 12 10 1700 45 5 455 362 64 SH 1 MINOR ARTERIAL 3084 2 12 4 1900 70 5 456 362 75 SH 1 FREEWAY 4276 2 12 4 2250 60 6 457 363 831 SAN JACINTO ST COLLECTOR 1247 1 12 4 1575 35 6 458 364 64 SH 1 MINOR ARTERIAL 1478 2 12 4 1900 70 5 459 364 65 SH 1 MINOR ARTERIAL 1991 2 12 4 1900 55 5 460 365 364 YERBA BUENA ST LOCAL ROADWAY 395 1 12 4 1750 25 5 461 366 1078 SAN JACINTO ST COLLECTOR 493 1 12 4 1750 25 5 462 367 836 YERBA BUENA ST LOCAL ROADWAY 846 1 12 4 1125 25 5 463 368 173 MAIN ST COLLECTOR 621 2 12 4 1575 35 10 Diablo Canyon Power Plant K53 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 464 368 369 QUINTANA RD COLLECTOR 617 1 14 3 1575 35 10 465 369 368 QUINTANA RD COLLECTOR 616 1 14 3 1575 35 10 466 369 1036 QUINTANA RD COLLECTOR 1801 1 14 3 1575 35 10 467 371 864 QUINTANA RD COLLECTOR 527 1 14 3 1575 35 10 468 371 1036 QUINTANA RD COLLECTOR 417 1 14 3 1575 35 10 469 372 171 MAIN ST COLLECTOR 1840 1 12 4 1575 35 10 470 372 373 MAIN ST COLLECTOR 1104 1 12 4 1575 35 10 471 373 754 PINEY WAY LOCAL ROADWAY 731 1 10 0 675 15 10 472 373 865 STATE PARK RD COLLECTOR 196 1 12 4 1700 45 10 473 374 503 STATE PARK RD LOCAL ROADWAY 960 1 10 0 1350 30 10 474 375 376 STATE PARK RD LOCAL ROADWAY 1803 1 10 0 1350 30 10 475 376 377 STATE PARK RD LOCAL ROADWAY 1572 1 10 0 1350 30 10 476 377 868 STATE PARK RD LOCAL ROADWAY 815 1 10 0 1350 30 10 477 378 956 SANTA YSABEL AVE COLLECTOR 2778 1 12 4 1575 35 10 478 379 57 CUESTA COLLEGE RD COLLECTOR 1098 2 12 4 1750 45 11 479 380 56 HOLLISTER AVE COLLECTOR 623 1 12 4 1750 45 11 480 381 184 LOS OSOS VALLEY RD COLLECTOR 15102 1 12 3 1750 60 16 481 382 184 W FOOTHILLS RD COLLECTOR 2133 1 12 4 1750 45 16 482 382 383 W FOOTHILLS RD COLLECTOR 8029 1 12 4 1700 60 16 483 383 777 W FOOTHILLS RD COLLECTOR 784 1 12 12 1750 45 16 484 384 382 O'CONNOR WAY COLLECTOR 10971 1 12 4 1700 50 16 485 385 50 SH 1 MINOR ARTERIAL 2269 2 12 4 1750 45 17 486 385 51 SH 1 MINOR ARTERIAL 3122 2 12 4 1900 60 17 487 386 385 HIGHLAND DR MAJOR ARTERIAL 1571 3 12 4 1750 45 17 488 387 385 HIGHLAND DR MAJOR ARTERIAL 827 3 12 4 1750 45 17 489 388 50 E FOOTHILL BLVD MINOR ARTERIAL 1304 2 12 4 1750 30 17 490 388 770 CALIFORNIA BLVD COLLECTOR 1188 1 12 5 1700 40 17 491 389 22 US 101 FREEWAY 2397 2 12 10 2250 60 17 492 389 527 US 101 FREEWAY 1025 2 12 10 2250 60 17 US 101 NB ON RAMP FROM 493 390 527 CALIFORNIA BLVD FREEWAY RAMP 789 1 12 4 1700 45 17 494 390 771 CALIFORNIA BLVD MINOR ARTERIAL 818 2 12 12 1900 40 17 Diablo Canyon Power Plant K54 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number US 101 SB ON RAMP FROM 495 391 397 CALIFORNIA BLVD FREEWAY RAMP 366 1 12 4 1350 30 17 496 391 771 CALIFORNIA BLVD COLLECTOR 125 1 12 12 1700 40 17 497 392 394 MONTEREY ST COLLECTOR 1291 1 12 12 1750 30 17 498 392 563 MONTEREY ST COLLECTOR 983 1 12 12 1750 30 17 499 392 769 CALIFORNIA BLVD COLLECTOR 663 1 12 3 1750 30 17 500 393 552 CALIFORNIA BLVD COLLECTOR 241 1 12 3 1350 30 17 501 394 392 MONTEREY ST COLLECTOR 1290 1 12 12 1750 30 17 502 394 396 MONTEREY ST COLLECTOR 1255 1 12 10 1700 40 17 503 394 821 GRAND AVE MINOR ARTERIAL 238 2 12 3 1900 45 17 504 395 398 GRAND AVE COLLECTOR 827 1 12 4 1700 45 17 505 395 821 GRAND AVE MINOR ARTERIAL 523 2 12 3 1900 45 17 US 101 NB ON RAMP FROM 506 396 22 MONTEREY ST FREEWAY RAMP 635 1 12 4 1700 45 17 US 101 SB ON RAMP FROM 507 397 23 CALIFORNIA BLVD FREEWAY RAMP 399 1 12 4 1350 30 17 US 101 SB ON RAMP FROM GRAND 508 398 389 AVE FREEWAY RAMP 503 1 12 4 1700 45 17 509 398 395 GRAND AVE MINOR ARTERIAL 826 2 12 3 1900 45 17 510 399 188 LOS OSOS VALLEY RD COLLECTOR 1639 1 12 4 1750 45 16 511 399 585 HIGUERA ST COLLECTOR 2675 1 12 3 1700 45 22 512 400 781 HIGUERA ST MINOR ARTERIAL 1149 2 12 3 1750 45 19 513 400 785 HIGUERA ST MINOR ARTERIAL 1733 2 12 3 1750 45 19 514 400 787 TANK FARM RD MINOR ARTERIAL 716 2 12 12 1900 50 19 515 401 573 PRADO RD COLLECTOR 1670 1 12 4 1750 45 19 516 401 902 HIGUERA ST MINOR ARTERIAL 864 2 11 12 1750 45 19 517 402 312 HIGUERA ST MINOR ARTERIAL 1632 2 10 12 1750 45 19 518 402 573 ELKS LN COLLECTOR 2789 1 12 4 1750 45 19 519 403 195 TANK FARM RD COLLECTOR 1445 1 12 4 1750 45 19 520 404 195 TANK FARM RD COLLECTOR 2230 1 12 3 1750 45 19 521 404 570 TANK FARM RD COLLECTOR 953 1 12 3 1700 50 19 522 405 446 PRICE CANYON RD COLLECTOR 2190 1 12 3 1700 55 23 Diablo Canyon Power Plant K55 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 523 406 202 RT 227 COLLECTOR 1300 1 12 6 1700 55 23 524 406 405 PRICE CANYON RD COLLECTOR 6211 1 12 1 1700 55 23 525 407 35 US 101 FREEWAY 843 2 12 10 2250 70 26 526 407 409 US 101 SB OFF RAMP ONTO SH 1 FREEWAY RAMP 766 1 12 4 1750 45 26 527 1100 615 US 101 FREEWAY 2143 2 12 10 2250 70 26 528 409 411 SH 1 COLLECTOR 833 1 12 12 1700 40 26 529 411 620 SH 1 COLLECTOR 465 1 12 12 1700 40 26 530 412 413 SH 1 COLLECTOR 340 1 12 12 1700 40 26 531 412 620 SH 1 COLLECTOR 504 1 12 12 1700 40 26 532 413 412 SH 1 COLLECTOR 341 1 12 12 1700 40 26 533 413 626 SH 1 COLLECTOR 318 1 12 12 1750 40 26 534 414 416 SH 1 COLLECTOR 1008 1 12 12 1750 40 26 535 415 623 HINDS AVE COLLECTOR 537 1 12 12 1750 45 26 536 415 1098 SH 1 COLLECTOR 317 1 12 12 1700 40 26 537 416 417 SH 1 COLLECTOR 2250 1 12 4 1700 45 26 538 417 418 SH 1 COLLECTOR 1465 1 12 4 1700 45 28 539 418 420 SH 1 MINOR ARTERIAL 1785 2 12 4 1750 45 28 540 419 654 SH 1 COLLECTOR 1669 1 12 2 1700 45 29 541 420 223 E GRAND AVE MINOR ARTERIAL 1033 2 12 4 1750 40 29 542 420 1016 SH 1 COLLECTOR 2630 1 12 4 1750 50 28 543 421 222 TRAFFIC WAY MINOR ARTERIAL 1821 2 12 4 1750 45 30 US 101 SB ON RAMP FROM TRAFFIC 544 421 1006 WAY FREEWAY RAMP 548 2 12 4 1700 45 30 545 422 40 US 101 FREEWAY 2392 2 12 10 2250 70 30 546 422 424 US 101 FREEWAY 2827 2 12 10 2250 60 30 547 423 226 GRAND AVE COLLECTOR 634 2 12 4 1750 30 29 US 101 NB ON RAMP FROM GRAND 548 423 425 AVE FREEWAY RAMP 859 1 12 4 1700 45 29 549 424 422 US 101 FREEWAY 2827 2 12 10 2250 60 30 550 424 425 US 101 FREEWAY 1432 2 12 10 2250 60 30 551 425 424 US 101 FREEWAY 1432 2 12 10 2250 60 30 552 425 664 US 101 FREEWAY 1431 2 12 10 2250 60 29 Diablo Canyon Power Plant K56 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 553 426 427 S OAK PARK BLVD MINOR ARTERIAL 2168 2 12 4 1900 45 29 554 426 470 E GRAND AVE COLLECTOR 807 2 12 4 1750 40 29 555 426 650 S OAK PARK BLVD COLLECTOR 2166 2 12 4 1900 30 29 556 427 426 S OAK PARK BLVD MINOR ARTERIAL 2167 2 12 4 1750 40 29 557 427 652 S OAK PARK BLVD MINOR ARTERIAL 897 2 12 4 1900 45 29 558 428 652 S OAK PARK BLVD MINOR ARTERIAL 903 2 12 4 1900 40 29 559 428 658 S OAK PARK BLVD MINOR ARTERIAL 1481 2 12 4 1900 40 29 560 429 1034 SH 1 COLLECTOR 2008 1 12 12 1750 40 29 561 431 934 S OAK PARK BLVD COLLECTOR 764 2 12 4 1750 45 29 US 101 NB ON RAMP FROM NOYES 562 432 37 RD FREEWAY RAMP 1144 1 12 4 1700 45 29 563 432 934 S OAK PARK BLVD MINOR ARTERIAL 414 2 12 0 1750 45 29 564 433 639 NOYES RD MINOR ARTERIAL 653 2 12 4 1750 50 27 565 434 433 NOYES RD COLLECTOR 1467 1 12 4 1700 50 27 566 435 683 NOYES RD COLLECTOR 1548 1 12 4 1700 50 27 567 436 435 NOYES RD COLLECTOR 941 1 12 4 1700 50 27 568 437 436 NOYES RD COLLECTOR 1762 1 12 4 1700 50 27 569 437 696 PRINTZ RD COLLECTOR 1645 1 12 0 1700 45 27 570 438 761 NOYES RD COLLECTOR 3296 1 10 0 1700 50 27 571 439 440 US 101 FREEWAY 1513 2 12 10 2250 70 26 572 439 495 US 101 FREEWAY 1489 2 12 10 2250 70 26 573 440 439 US 101 FREEWAY 1514 2 12 10 2250 70 26 574 440 631 US 101 FREEWAY 1972 2 12 10 2250 70 26 575 441 1021 PRICE CANYON RD COLLECTOR 2123 1 12 3 1750 45 26 576 442 441 PRICE CANYON RD COLLECTOR 2237 1 12 3 1700 45 26 577 443 442 PRICE CANYON RD COLLECTOR 2993 1 12 3 1700 55 26 578 444 443 PRICE CANYON RD COLLECTOR 2656 1 12 3 1700 55 26 579 445 672 PRICE CANYON RD COLLECTOR 2246 1 12 3 1700 55 23 580 445 674 ORMONDE RD COLLECTOR 561 1 11 0 1575 35 23 581 446 445 PRICE CANYON RD COLLECTOR 730 1 12 3 1700 55 23 582 447 229 VALLEY RD COLLECTOR 1837 1 12 3 1750 50 30 583 447 448 LOS BERROS RD COLLECTOR 1312 1 12 1 1700 40 30 Diablo Canyon Power Plant K57 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 584 448 449 LOS BERROS RD COLLECTOR 1668 1 12 1 1700 40 30 585 449 450 LOS BERROS RD COLLECTOR 1571 1 12 1 1700 45 30 586 450 451 LOS BERROS RD COLLECTOR 1835 1 12 1 1700 50 30 587 451 452 LOS BERROS RD COLLECTOR 1059 1 12 4 1700 50 32 588 452 453 LOS BERROS RD COLLECTOR 4025 1 12 4 1700 55 32 589 453 454 LOS BERROS RD COLLECTOR 2821 1 12 4 1700 55 32 590 454 455 LOS BERROS RD COLLECTOR 1297 1 12 4 1700 55 32 591 455 456 POMEROY RD COLLECTOR 1005 1 11 0 1700 40 32 592 455 710 S THOMPSON AVE COLLECTOR 3992 1 12 4 1700 55 32 593 456 918 POMEROY RD COLLECTOR 2558 1 11 0 1575 35 32 594 457 919 POMEROY RD COLLECTOR 4238 1 11 0 1700 50 32 595 458 459 POMEROY RD COLLECTOR 2824 1 11 0 1700 50 32 596 459 460 POMEROY RD COLLECTOR 1701 1 11 0 1700 50 32 597 460 316 POMEROY RD COLLECTOR 659 1 11 0 1700 50 32 598 461 733 S LAS FLORES DR COLLECTOR 1158 1 15 0 1700 40 34 599 461 743 W TEFFT ST COLLECTOR 5743 1 12 3 1750 45 34 600 462 223 N 4TH ST COLLECTOR 2085 1 12 4 1750 45 29 601 462 635 N 4TH ST COLLECTOR 1593 1 12 10 1700 45 29 602 462 1023 ATLANTIC CITY AVE LOCAL ROADWAY 1449 1 12 12 1350 30 29 603 463 223 S 4TH ST COLLECTOR 1799 1 12 12 1750 40 29 604 464 465 E GRAND AVE MINOR ARTERIAL 382 2 12 4 1750 40 29 605 465 466 E GRAND AVE MINOR ARTERIAL 394 2 12 4 1750 40 29 606 466 467 E GRAND AVE MINOR ARTERIAL 330 2 12 4 1750 40 29 607 467 468 E GRAND AVE MINOR ARTERIAL 769 2 12 4 1750 40 29 608 468 469 E GRAND AVE MINOR ARTERIAL 1095 2 12 4 1750 40 29 609 469 426 E GRAND AVE MINOR ARTERIAL 708 2 12 4 1750 40 29 610 470 224 E GRAND AVE MINOR ARTERIAL 1794 2 12 4 1750 40 29 611 471 225 N HALCYON RD MINOR ARTERIAL 1613 2 12 4 1750 45 29 US 101 SB ON RAMP FROM 612 471 664 HALCYON RD FREEWAY RAMP 383 1 12 4 1700 45 29 613 472 225 S HALCYON RD MINOR ARTERIAL 2185 2 12 0 1750 45 29 614 472 665 FAIR OAKS RD COLLECTOR 1319 1 12 12 1700 40 29 Diablo Canyon Power Plant K58 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 615 472 1084 S HALCYON RD COLLECTOR 712 1 12 3 1700 55 29 616 476 470 COURTLAND ST COLLECTOR 903 1 12 4 1750 45 29 617 486 467 S 11TH ST COLLECTOR 786 1 12 4 1750 40 29 618 489 463 S 4TH ST LOCAL ROADWAY 505 1 12 12 1700 40 29 619 489 651 S 4TH ST LOCAL ROADWAY 251 1 12 12 1700 40 29 620 489 1022 MENTONE AVE LOCAL ROADWAY 1653 1 12 12 1700 40 29 621 490 224 S ELM ST COLLECTOR 2151 2 12 12 1750 40 29 622 490 427 ASH ST COLLECTOR 2728 1 12 12 1700 40 29 623 490 662 S ELM ST COLLECTOR 675 1 12 12 1700 40 29 624 491 428 FARROLL AVE COLLECTOR 1941 1 12 12 1700 40 29 625 491 662 S ELM ST MINOR ARTERIAL 776 1 12 12 1700 40 29 626 492 428 FARROLL AVE COLLECTOR 1497 1 12 12 1700 40 29 627 493 702 SH 1 COLLECTOR 226 1 12 4 1700 50 29 628 495 35 US 101 FREEWAY 776 2 12 10 2250 70 26 629 495 439 US 101 FREEWAY 1489 2 12 10 2250 70 26 630 496 69 SH 1 COLLECTOR 6564 1 12 10 1700 60 5 631 496 70 SH 1 COLLECTOR 5442 1 12 10 1700 60 5 632 497 67 SH 1 MINOR ARTERIAL 2500 2 12 4 1900 55 5 633 497 68 SH 1 FREEWAY 3699 2 12 8 2250 65 5 SH 1 SB ON RAMP FROM OCEAN 634 498 497 AVE FREEWAY RAMP 1190 1 12 4 1700 45 5 635 499 115 OLD CREEK RD COLLECTOR 2134 1 12 3 1700 50 5 636 500 133 OLD CREEK RD COLLECTOR 1171 1 10 4 1125 25 2 637 501 86 SH 41 COLLECTOR 2434 1 12 4 1700 40 6 638 502 87 SH 41 COLLECTOR 1342 1 12 4 1700 40 7 639 503 375 STATE PARK RD LOCAL ROADWAY 1450 1 10 0 1350 30 10 640 504 166 S BAY BLVD COLLECTOR 784 1 12 4 1700 45 10 641 505 170 SH 1 ON RAMP FROM S BAY BLVD FREEWAY RAMP 1111 1 12 4 1700 45 10 642 505 506 S BAY BLVD COLLECTOR 401 1 12 4 1700 45 10 643 506 169 SH 1 ON RAMP FROM S BAY BLVD FREEWAY RAMP 806 1 12 4 1700 45 10 644 507 162 S BAY BLVD COLLECTOR 1509 1 12 3 1750 55 10 645 508 507 EL MORRO AVE COLLECTOR 1120 1 12 4 1750 45 10 Diablo Canyon Power Plant K59 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 646 509 285 PECHO RD COLLECTOR 1633 1 12 4 1700 50 21 647 510 562 MONTEREY ST COLLECTOR 482 1 12 12 1750 30 17 648 510 566 MONTEREY ST COLLECTOR 498 1 12 12 1350 30 17 649 510 798 SANTA ROSA ST MINOR ARTERIAL 426 2 12 12 1750 25 17 650 511 158 9TH ST LOCAL ROADWAY 1361 1 12 12 1750 25 10 651 512 155 DORIS AVE LOCAL ROADWAY 1225 1 12 12 1750 25 10 652 513 54 SH 1 MINOR ARTERIAL 1637 2 12 4 1900 65 11 653 513 55 SH 1 MINOR ARTERIAL 2897 2 12 4 1900 65 11 654 514 513 KANSAS AVE COLLECTOR 416 2 12 4 1750 45 11 655 515 53 COLONY DR COLLECTOR 661 2 12 4 1750 45 11 656 516 52 SH 1 MINOR ARTERIAL 2272 2 12 4 1900 70 16 657 516 53 SH 1 MINOR ARTERIAL 2227 2 12 4 1750 65 11 658 517 50 SH 1 MINOR ARTERIAL 1182 2 12 4 1750 70 17 659 517 802 SH 1 MINOR ARTERIAL 1108 2 12 3 1900 40 17 660 518 517 HATHWAY AVE COLLECTOR 633 1 12 4 1750 40 17 661 519 517 MURRAY ST COLLECTOR 842 1 12 4 1750 40 17 662 519 550 CHORRO ST LOCAL ROADWAY 2188 1 12 12 1350 30 17 663 519 700 CHORRO ST LOCAL ROADWAY 1249 1 12 12 1750 30 17 664 520 49 OLIVE ST COLLECTOR 457 1 12 12 1750 45 17 665 520 525 US 101 SB ON RAMP FROM OLIVE ST FREEWAY RAMP 706 1 12 4 1700 45 17 666 521 48 US 101 SB ON RAMP FROM OLIVE ST FREEWAY RAMP 550 1 12 4 1350 30 17 US 101 NB ON RAMP FROM 667 522 47 WALNUT ST FREEWAY RAMP 540 1 12 4 1350 30 17 668 522 191 WALNUT ST LOCAL ROADWAY 470 1 12 4 1750 25 17 669 523 191 WALNUT ST LOCAL ROADWAY 488 1 12 4 1750 25 17 US 101 NB ONRAMP FROM WALNUT 670 523 524 ST FREEWAY RAMP 550 1 12 4 1700 45 17 671 524 48 US 101 FREEWAY 465 2 12 10 2250 60 17 672 524 803 US 101 FREEWAY 503 2 12 10 2250 60 17 673 525 47 US 101 FREEWAY 521 2 12 10 2250 60 17 US 101 NB OFF RAMP ONTO 674 525 522 WALNUT ST FREEWAY RAMP 589 1 12 4 1750 45 17 Diablo Canyon Power Plant K60 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 675 525 545 US 101 FREEWAY 419 2 12 10 2250 60 17 676 526 393 SAN LUIS DR COLLECTOR 857 1 12 12 1700 45 17 677 527 23 US 101 FREEWAY 345 2 12 10 2250 60 17 678 527 389 US 101 FREEWAY 1025 2 12 10 2250 60 17 679 528 192 SANTA ROSA ST MINOR ARTERIAL 310 2 12 12 1750 25 17 680 528 335 MARSH ST MAJOR ARTERIAL 1056 3 12 12 1750 30 17 681 529 530 MARSH ST MAJOR ARTERIAL 435 3 12 12 1750 30 17 682 529 535 CHORRO ST LOCAL ROADWAY 329 1 12 12 1750 25 17 683 529 568 CHORRO ST LOCAL ROADWAY 2457 1 12 12 1350 30 19 684 530 531 MARSH ST MAJOR ARTERIAL 362 3 12 12 1750 30 17 685 530 534 MORRO ST LOCAL ROADWAY 331 1 12 12 1750 25 17 686 531 528 MARSH ST MAJOR ARTERIAL 489 3 12 12 1750 30 17 687 531 533 OSOS ST LOCAL ROADWAY 317 1 12 12 1750 25 17 688 532 192 HIGUERA ST MAJOR ARTERIAL 1041 3 12 12 1750 30 17 689 532 563 JOHNSON AVE LOCAL ROADWAY 329 1 12 12 1750 25 17 690 533 534 HIGUERA ST MAJOR ARTERIAL 346 3 12 12 1750 30 17 691 533 562 OSOS ST LOCAL ROADWAY 328 1 12 12 1750 25 17 692 534 535 HIGUERA ST MAJOR ARTERIAL 429 3 12 12 1750 30 17 693 534 561 MORRO ST LOCAL ROADWAY 279 1 12 12 1750 25 17 694 535 529 CHORRO ST LOCAL ROADWAY 329 1 12 12 1750 25 17 695 535 536 HIGUERA ST MAJOR ARTERIAL 595 3 12 12 1750 30 17 696 535 560 CHORRO ST LOCAL ROADWAY 287 1 12 12 1750 25 17 697 536 193 BROAD ST LOCAL ROADWAY 330 1 12 12 1750 25 17 698 536 537 BROAD ST LOCAL ROADWAY 357 1 12 12 1125 25 17 699 536 543 HIGUERA ST MAJOR ARTERIAL 454 3 12 3 1750 30 17 700 537 538 MONTEREY ST LOCAL ROADWAY 203 1 12 4 1125 25 17 701 538 565 BROAD ST LOCAL ROADWAY 1071 1 12 12 1125 25 17 US 101 NB ON RAMP FROM BROAD 702 539 545 ST FREEWAY RAMP 403 1 12 4 1350 30 17 US 101 SB ON RAMP FROM BROAD 703 540 24 ST FREEWAY RAMP 535 1 12 4 1350 30 17 704 541 544 MARSH ST MAJOR ARTERIAL 1685 3 12 12 1750 30 19 Diablo Canyon Power Plant K61 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 705 541 791 MARSH ST MINOR ARTERIAL 216 2 12 12 1900 25 19 706 542 792 HIGUERA ST MINOR ARTERIAL 579 2 12 3 1900 30 19 707 543 542 HIGUERA ST MINOR ARTERIAL 965 2 12 3 1900 30 19 708 544 193 MARSH ST MAJOR ARTERIAL 452 3 12 12 1750 30 19 709 545 24 US 101 FREEWAY 679 2 12 10 2250 60 17 710 545 525 US 101 FREEWAY 419 2 12 10 2250 60 17 711 550 551 CHORRO ST LOCAL ROADWAY 366 1 12 4 1350 30 17 712 550 564 CHORRO ST LOCAL ROADWAY 946 1 12 4 1350 30 17 713 551 540 BROAD ST LOCAL ROADWAY 270 1 12 4 1350 30 17 714 552 392 CALIFORNIA BLVD LOCAL ROADWAY 639 1 12 3 1750 30 17 US 101 SB ON RAMP FROM MARSH 715 553 554 ST FREEWAY RAMP 645 1 12 4 1700 45 19 716 554 314 US 101 FREEWAY 1473 2 12 10 2250 60 19 717 554 555 US 101 FREEWAY 1415 2 12 10 2250 60 19 718 555 24 US 101 FREEWAY 2335 2 12 10 2250 60 17 719 555 554 US 101 FREEWAY 1415 2 12 10 2250 60 19 720 556 788 HIGUERA ST MINOR ARTERIAL 884 2 12 4 1750 45 19 721 556 1069 RT 227 MINOR ARTERIAL 1706 2 12 12 1900 50 19 722 557 21 US 101 FREEWAY 2269 2 12 10 2250 60 17 723 557 22 US 101 FREEWAY 1436 2 12 10 2250 60 17 724 558 11 US 101 MINOR ARTERIAL 1962 2 12 10 1900 65 12 725 558 12 US 101 MINOR ARTERIAL 2431 2 12 10 1900 65 12 726 559 12 US 101 MINOR ARTERIAL 2047 2 12 10 1900 65 12 727 559 13 US 101 MAJOR ARTERIAL 3128 3 12 10 1900 65 12 728 560 561 MONTEREY ST LOCAL ROADWAY 408 1 12 12 1750 30 17 729 560 820 CHORRO ST LOCAL ROADWAY 425 1 12 12 1750 25 17 730 561 560 MONTEREY ST LOCAL ROADWAY 408 1 12 12 1750 30 17 731 561 562 MONTEREY ST LOCAL ROADWAY 366 1 12 12 1750 30 17 732 562 510 MONTEREY ST LOCAL ROADWAY 482 1 12 12 1750 30 17 733 562 522 OSOS ST LOCAL ROADWAY 1508 1 12 12 1750 25 17 734 562 561 MONTEREY ST LOCAL ROADWAY 366 1 12 12 1750 30 17 735 563 392 MONTEREY ST LOCAL ROADWAY 983 1 12 12 1750 30 17 Diablo Canyon Power Plant K62 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 736 563 566 MONTEREY ST LOCAL ROADWAY 529 1 12 12 1350 30 17 737 564 550 CHORRO ST LOCAL ROADWAY 946 1 12 4 1350 30 17 738 564 565 PEACH ST LOCAL ROADWAY 430 1 12 12 1125 25 17 739 565 539 BROAD ST LOCAL ROADWAY 205 1 12 12 1125 25 17 740 565 564 PEACH ST LOCAL ROADWAY 430 1 12 12 1125 25 17 741 566 510 MONTEREY ST LOCAL ROADWAY 498 1 12 12 1750 30 17 742 566 523 TORO ST LOCAL ROADWAY 1498 1 12 12 1125 25 17 743 566 563 MONTEREY ST LOCAL ROADWAY 529 1 12 12 1750 30 17 744 567 313 BROAD ST MINOR ARTERIAL 567 2 12 3 1750 45 19 745 568 567 CHORRO ST LOCAL ROADWAY 980 1 12 12 1575 35 19 746 568 811 UPHAM ST LOCAL ROADWAY 423 1 12 12 1750 25 19 747 569 194 ORCUTT RD COLLECTOR 2000 1 12 4 1750 45 19 748 569 327 ORCUTT RD COLLECTOR 2320 1 12 12 1700 45 19 749 569 764 LAUREL LN MINOR ARTERIAL 1615 2 12 12 1900 45 19 750 570 326 TANK FARM RD COLLECTOR 2266 1 12 6 1700 50 20 751 571 25 US 101 FREEWAY 1068 2 12 10 2250 60 19 752 571 189 US 101 FREEWAY 5704 2 12 10 2250 60 16 753 573 571 US 101 NB RAMP FROM PRADO RD FREEWAY RAMP 635 1 12 4 1700 45 19 754 574 187 LOS OSOS VALLEY RD MINOR ARTERIAL 164 2 12 5 1750 60 16 755 575 576 FROOM RANCH WAY COLLECTOR 404 1 12 4 1750 45 16 756 576 779 LOS OSOS VALLEY RD MAJOR ARTERIAL 1239 3 12 5 1900 60 16 757 577 579 ROYAL WAY COLLECTOR 818 1 12 4 1750 45 16 758 578 579 ROYAL WAY COLLECTOR 787 1 12 4 1750 45 16 759 579 186 LOS OSOS VALLEY RD MAJOR ARTERIAL 843 3 12 12 1750 60 16 760 580 574 CALLE JOAQUIN COLLECTOR 746 1 12 4 1750 45 16 761 581 579 LOS OSOS VALLEY RD MINOR ARTERIAL 1733 2 12 12 1750 60 16 762 582 581 LAGUNA LN COLLECTOR 449 2 12 4 1750 45 16 763 583 584 DESCANSO ST COLLECTOR 803 1 12 4 1750 45 16 764 584 986 LOS OSOS VALLEY RD MINOR ARTERIAL 684 2 12 12 1750 60 16 765 585 399 HIGUERA ST COLLECTOR 2675 1 12 3 1750 45 22 766 585 586 HIGUERA ST COLLECTOR 3242 1 12 3 1700 45 22 767 586 27 US 101 NB ON RAMP FROM FREEWAY RAMP 1123 1 12 4 1700 45 22 Diablo Canyon Power Plant K63 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number HIGUERA ST 768 586 587 HIGUERA ST COLLECTOR 2155 1 12 4 1700 45 22 769 587 588 HIGUERA ST COLLECTOR 1094 1 12 10 1700 45 22 US 101 SB ON RAMP FROM 770 588 590 HIGUERA ST FREEWAY RAMP 998 1 12 10 1700 45 22 771 589 27 US 101 FREEWAY 1975 2 12 10 2250 70 22 772 589 28 US 101 FREEWAY 2281 2 12 10 2250 70 22 773 590 28 US 101 FREEWAY 978 2 12 10 2250 70 22 774 590 29 US 101 FREEWAY 1952 2 12 8 2250 70 22 775 591 30 US 101 FREEWAY 3078 2 12 8 2250 70 22 776 591 31 US 101 FREEWAY 2215 2 12 10 2250 60 22 777 592 593 SAN LUIS BAY DR COLLECTOR 717 1 12 12 1700 45 22 778 593 594 SAN LUIS BAY DR COLLECTOR 875 1 12 12 1700 45 22 779 594 908 SAN LUIS BAY DR COLLECTOR 1067 1 12 12 1700 40 22 US 101 ON RAMP FROM SAN LUIS 780 595 31 BAY DR FREEWAY RAMP 1101 1 12 2 1700 45 22 781 595 596 SAN LUIS BAY DR COLLECTOR 591 1 12 4 1700 45 22 US 101 ON RAMP FROM SAN LUIS 782 596 591 BAY DR FREEWAY RAMP 1032 1 12 4 1700 45 22 783 596 595 SAN LUIS BAY DR COLLECTOR 591 1 12 4 1700 45 22 784 597 596 SAN LUIS BAY DR COLLECTOR 963 1 12 4 1700 45 22 785 598 196 BUCKLEY RD COLLECTOR 1637 1 12 10 1750 45 23 786 599 598 BUCKLEY RD COLLECTOR 1660 1 12 10 1700 45 23 787 600 197 LOS RANCHOS RD COLLECTOR 329 1 12 10 1750 45 23 788 601 600 LOS RANCHOS RD COLLECTOR 3055 1 12 10 1700 45 23 789 602 339 ORCUTT RD COLLECTOR 1207 1 12 0 1700 55 23 790 603 32 US 101 FREEWAY 1214 2 12 10 2250 60 22 791 603 33 US 101 FREEWAY 1631 3 12 10 2250 70 22 792 604 308 AVILA BEACH DR COLLECTOR 189 1 12 3 1700 45 22 793 605 604 SHELL BEACH RD COLLECTOR 1837 1 12 4 1700 45 22 794 606 605 SHELL BEACH RD COLLECTOR 1620 1 12 4 1700 45 22 795 606 607 SHELL BEACH RD COLLECTOR 1231 1 12 4 1700 45 22 Diablo Canyon Power Plant K64 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 796 607 608 SHELL BEACH RD COLLECTOR 2484 1 12 4 1700 45 25 797 608 609 SPYGLASS DR COLLECTOR 125 1 12 4 1700 45 25 798 608 613 SHELL BEACH RD COLLECTOR 5156 1 12 4 1700 45 25 799 609 610 SPYGLASS DR COLLECTOR 369 1 12 4 1700 45 25 US 101 SB ON RAMP FROM 800 609 611 SPYGLASS RD FREEWAY RAMP 865 1 12 4 1700 45 25 US 101 NB ON RAMP FROM 801 610 34 SPYGLASS RD FREEWAY RAMP 488 1 12 4 1700 45 25 802 610 609 SPYGLASS DR COLLECTOR 368 1 12 4 1700 45 25 803 610 1020 MATTIE RD COLLECTOR 1168 1 12 4 1700 40 25 804 611 34 US 101 FREEWAY 1364 2 12 10 2250 70 25 805 611 615 US 101 FREEWAY 7293 2 12 10 2250 70 26 806 612 33 US 101 FREEWAY 2964 2 12 10 2250 70 22 807 612 34 US 101 FREEWAY 1679 2 12 10 2250 70 25 808 613 608 SHELL BEACH RD COLLECTOR 5156 1 12 4 1700 45 25 809 613 614 SHELL BEACH RD COLLECTOR 2585 1 12 4 1700 45 26 US 101 SB ON RAMP FROM SHELL 810 614 615 BEACH RD FREEWAY RAMP 485 1 12 4 1700 45 26 811 614 617 SHELL BEACH RD COLLECTOR 3045 1 12 4 1700 45 26 812 1100 407 US 101 FREEWAY 3229 2 12 10 2250 70 26 813 615 611 US 101 FREEWAY 7293 2 12 10 2250 70 26 814 616 613 ESPARTO AVE COLLECTOR 1440 1 12 4 1700 45 26 815 617 618 SHELL BEACH RD COLLECTOR 810 1 12 4 1750 45 26 816 618 619 SHELL BEACH RD COLLECTOR 375 1 12 4 1700 45 26 817 619 409 SHELL BEACH RD COLLECTOR 2332 1 12 4 1750 45 26 818 620 412 SH 1 COLLECTOR 504 1 12 12 1700 40 26 819 620 926 WADSWORTH AVE COLLECTOR 449 1 12 4 1700 45 26 820 621 622 BELLO ST COLLECTOR 852 1 12 4 1700 45 26 821 621 926 WADSWORTH AVE COLLECTOR 438 1 12 4 1700 45 26 822 621 1021 BELLO ST COLLECTOR 1455 1 12 4 1700 45 26 US 101 NB ON RAMP FROM BELLO 823 622 407 ST FREEWAY RAMP 1119 1 12 4 1700 45 26 Diablo Canyon Power Plant K65 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 824 622 621 BELLO ST COLLECTOR 853 1 12 4 1700 45 26 825 623 927 PRICE ST COLLECTOR 366 2 12 12 1750 45 26 826 623 1097 PRICE ST COLLECTOR 281 2 12 4 1700 45 26 827 625 415 HINDS AVE COLLECTOR 629 1 12 4 1750 45 26 828 626 413 SH 1 COLLECTOR 318 1 12 12 1700 40 26 829 626 415 SH 1 COLLECTOR 368 1 12 12 1750 40 26 830 627 416 CLUB DR COLLECTOR 556 1 12 4 1750 45 26 831 628 629 FIVE CITIES DRIVE COLLECTOR 770 1 12 4 1700 45 27 832 629 630 FIVE CITIES DRIVE COLLECTOR 1515 1 12 4 1750 45 27 US 110 ON RAMP FROM FIVE CITIES 833 630 631 DRIVE FREEWAY RAMP 426 1 12 4 1700 45 26 834 631 36 US 101 FREEWAY 1747 2 12 10 2250 70 27 835 631 440 US 101 FREEWAY 1972 2 12 10 2250 70 26 836 632 628 N 4TH ST COLLECTOR 387 1 12 4 1750 45 27 US 101 NB ON RAMP FROM JAMES 837 632 943 WAY FREEWAY RAMP 161 2 12 4 1700 45 27 838 633 632 JAMES WAY COLLECTOR 256 1 12 4 1750 45 27 839 634 628 N 4TH ST COLLECTOR 672 1 12 10 1750 45 27 840 635 634 N 4TH ST COLLECTOR 1114 1 12 10 1700 45 27 841 636 633 JAMES WAY LOCAL ROADWAY 647 1 12 3 1575 35 27 842 636 637 JAMES WAY LOCAL ROADWAY 1604 1 12 3 1575 35 27 843 637 636 JAMES WAY LOCAL ROADWAY 1600 1 12 3 1575 35 27 844 637 638 JAMES WAY LOCAL ROADWAY 947 1 12 3 1575 35 27 845 638 637 JAMES WAY LOCAL ROADWAY 945 1 12 3 1575 35 27 846 638 639 JAMES WAY LOCAL ROADWAY 1976 1 12 3 1750 35 27 847 639 432 NOYES RD MINOR ARTERIAL 1270 2 12 4 1750 45 29 848 639 638 JAMES WAY LOCAL ROADWAY 1975 1 12 3 1575 35 27 849 640 204 RT 227 COLLECTOR 2051 1 12 6 1700 60 23 850 641 639 JAMES WAY COLLECTOR 1520 1 12 3 1750 45 27 851 642 641 JAMES WAY COLLECTOR 1126 1 12 3 1700 45 27 852 643 642 JAMES WAY COLLECTOR 1493 1 12 3 1700 45 27 853 644 643 JAMES WAY COLLECTOR 1759 1 12 3 1700 45 27 Diablo Canyon Power Plant K66 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 854 644 645 JAMES WAY COLLECTOR 1496 1 12 4 1700 45 27 855 645 646 JAMES WAY COLLECTOR 2702 1 12 4 1700 45 30 856 646 647 TALLY HO RD LOCAL ROADWAY 1146 1 12 4 1350 30 30 857 646 649 TALLY HO RD LOCAL ROADWAY 1970 1 12 4 1700 40 30 858 647 648 TALLY HO RD LOCAL ROADWAY 1069 1 12 4 1350 30 30 859 648 221 N MASON ST LOCAL ROADWAY 488 1 12 4 1750 30 30 860 649 216 RT 227 COLLECTOR 206 1 12 1 1750 40 30 861 649 217 RT 227 COLLECTOR 435 1 12 1 1750 35 30 862 650 431 S OAK PARK BLVD MINOR ARTERIAL 489 2 12 4 1900 45 29 863 651 653 FARROLL AVE LOCAL ROADWAY 3107 1 12 12 1700 40 29 864 652 427 S OAK PARK BLVD COLLECTOR 923 2 12 4 1900 40 29 865 652 428 S OAK PARK BLVD COLLECTOR 915 2 12 4 1900 45 29 866 653 492 FARROLL AVE LOCAL ROADWAY 1276 1 12 12 1700 40 29 867 654 655 SH 1 COLLECTOR 527 1 12 2 1700 45 29 868 655 656 SH 1 COLLECTOR 1033 1 12 2 1700 40 29 869 656 246 SH 1 COLLECTOR 1699 1 12 12 1700 40 29 870 656 659 PASO ROBLES ST LOCAL ROADWAY 2540 1 10 12 1575 35 29 871 657 653 13TH ST LOCAL ROADWAY 1896 1 12 12 1700 40 29 872 657 658 THE PIKE LOCAL ROADWAY 2725 1 12 12 1350 30 29 873 657 1014 13TH ST LOCAL ROADWAY 963 1 12 12 1700 40 29 874 658 661 THE PIKE LOCAL ROADWAY 2013 1 12 12 1350 30 29 875 658 1013 22ND ST LOCAL ROADWAY 895 1 10 0 1125 25 29 876 659 429 22ND ST LOCAL ROADWAY 1068 1 10 0 1125 25 29 877 659 660 PASO ROBLES ST LOCAL ROADWAY 2017 1 10 12 1350 30 29 878 660 1034 S ELM ST LOCAL ROADWAY 1108 1 12 4 1700 40 29 879 661 491 S ELM ST MINOR ARTERIAL 1549 2 12 12 1900 40 29 880 661 660 S ELM ST LOCAL ROADWAY 1884 1 12 4 1700 40 29 881 661 922 THE PIKE LOCAL ROADWAY 2670 1 12 12 1350 30 29 882 662 472 FAIR OAKS RD COLLECTOR 2654 1 12 4 1750 45 29 883 663 225 E GRAND AVE MINOR ARTERIAL 1001 1 12 3 1750 40 29 884 664 39 US 101 FREEWAY 1123 2 12 10 2250 70 29 885 664 425 US 101 FREEWAY 1431 2 12 10 2250 60 29 Diablo Canyon Power Plant K67 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 886 665 472 FAIR OAKS RD COLLECTOR 1319 1 12 12 1750 40 29 887 665 666 FAIR OAKS RD MINOR ARTERIAL 1304 2 12 3 1900 50 29 888 666 227 FAIR OAKS RD MINOR ARTERIAL 773 2 12 3 1750 50 29 US 101 NB ON RAMP FROM BRISCO 889 667 39 RD FREEWAY RAMP 338 1 12 4 1700 45 29 890 667 931 BRISCO RD COLLECTOR 282 1 12 4 1750 45 29 891 668 667 BRISCO RD COLLECTOR 143 1 12 4 1750 45 29 892 668 669 BRANCH ST COLLECTOR 1851 1 12 3 1700 45 29 893 669 668 BRANCH ST COLLECTOR 1852 1 12 3 1750 45 29 894 669 670 BRANCH ST COLLECTOR 1289 1 12 3 1700 45 29 895 670 671 BRANCH ST COLLECTOR 181 1 12 3 1700 45 30 896 671 423 RT 227 MINOR ARTERIAL 322 2 12 4 1900 30 30 897 672 673 PRICE CANYON RD COLLECTOR 2180 1 12 3 1700 55 23 898 673 444 PRICE CANYON RD COLLECTOR 1533 1 12 3 1700 55 27 899 674 675 ORMONDE RD COLLECTOR 1795 1 11 0 1700 45 23 900 675 676 ORMONDE RD COLLECTOR 895 1 10 0 900 20 23 901 676 677 ORMONDE RD COLLECTOR 3642 1 10 0 1700 45 23 902 677 678 ORMONDE RD COLLECTOR 1946 1 10 0 1700 45 23 903 678 679 ORMONDE RD COLLECTOR 1822 1 10 0 1700 45 23 904 679 680 CENTRAL BLVD COLLECTOR 943 1 11 0 1700 45 27 905 679 762 E ORMONDE RD COLLECTOR 677 1 10 0 1700 45 27 906 680 681 CENTRAL BLVD COLLECTOR 4630 1 11 0 1700 45 27 907 681 682 OLD OAK PARK RD COLLECTOR 3170 1 11 0 1700 40 27 908 682 683 OLD OAK PARK RD COLLECTOR 1183 1 11 0 1700 40 27 909 683 434 NOYES RD COLLECTOR 1324 1 12 4 1700 50 27 910 684 685 CORBETT CANYON RD COLLECTOR 929 1 12 0 1700 40 23 911 685 686 CORBETT CANYON RD COLLECTOR 5534 1 12 0 1700 55 24 912 686 687 CORBETT CANYON RD COLLECTOR 395 1 12 4 1575 35 24 913 687 688 CORBETT CANYON RD COLLECTOR 2813 1 12 0 1700 55 24 914 688 689 CORBETT CANYON RD COLLECTOR 2151 1 12 0 1700 55 24 915 689 690 CORBETT CANYON RD COLLECTOR 3504 1 12 0 1700 55 30 916 690 691 CORBETT CANYON RD COLLECTOR 3148 1 12 0 1700 55 30 Diablo Canyon Power Plant K68 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 917 691 692 CORBETT CANYON RD COLLECTOR 3893 1 12 0 1700 55 30 918 692 693 CORBETT CANYON RD COLLECTOR 1823 1 12 0 1700 55 30 919 693 217 CORBETT CANYON RD COLLECTOR 2909 1 10 0 1750 55 30 920 694 437 NOYES RD COLLECTOR 1530 1 10 0 1700 50 27 921 695 210 RT 227 COLLECTOR 1270 1 12 0 1700 40 30 922 696 437 PRINTZ RD COLLECTOR 1646 1 12 0 1700 45 27 923 696 697 PRINTZ RD COLLECTOR 688 1 12 0 1350 30 30 924 697 696 PRINTZ RD COLLECTOR 680 1 12 0 1350 30 30 925 697 698 PRINTZ RD COLLECTOR 2605 1 12 0 1700 50 30 926 698 697 PRINTZ RD COLLECTOR 2605 1 12 0 1700 50 30 927 698 699 PRINTZ RD COLLECTOR 2215 1 12 0 1700 50 30 928 699 216 PRINTZ RD COLLECTOR 327 1 12 0 1750 45 30 929 699 698 PRINTZ RD COLLECTOR 2215 1 12 0 1700 50 30 930 700 50 W FOOTHILLS RD MINOR ARTERIAL 842 2 12 4 1750 30 17 931 701 234 S HALCYON RD COLLECTOR 2389 1 10 0 1750 50 31 932 702 229 SH 1 COLLECTOR 2718 1 12 4 1750 50 29 933 702 701 S HALCYON RD COLLECTOR 4460 1 12 5 1700 60 31 934 703 234 S HALCYON RD COLLECTOR 1317 1 12 0 1750 50 31 935 704 703 S HALCYON RD COLLECTOR 2848 1 12 0 1700 45 32 936 704 705 EL CAMPO RD COLLECTOR 1461 1 12 0 1700 45 32 937 705 706 EL CAMPO RD COLLECTOR 1794 1 12 0 1700 45 32 938 706 707 EL CAMPO RD COLLECTOR 742 1 12 0 1700 45 32 939 707 708 EL CAMPO RD COLLECTOR 1257 1 12 0 1700 45 32 940 708 452 EL CAMPO RD COLLECTOR 3200 1 12 0 1700 45 32 941 709 41 US 101 MINOR ARTERIAL 4009 2 12 8 1900 70 32 942 709 42 US 101 FREEWAY 4891 2 12 8 2250 70 32 943 710 711 S THOMPSON AVE COLLECTOR 2056 1 12 4 1700 55 32 944 711 712 S THOMPSON AVE COLLECTOR 2125 1 12 4 1700 55 32 945 712 713 S THOMPSON AVE COLLECTOR 916 1 12 4 1700 45 32 US 101 SB ON RAMP FROM 946 712 716 THOMPSON AVE FREEWAY RAMP 1454 1 12 4 1700 45 32 947 713 42 US 101 NB ON RAMP FROM FREEWAY RAMP 1914 1 12 4 1700 45 32 Diablo Canyon Power Plant K69 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number THOMPSON AVE 948 713 714 S THOMPSON AVE COLLECTOR 2979 1 12 4 1700 45 32 949 714 911 S THOMPSON AVE COLLECTOR 8816 1 12 3 1700 45 32 950 715 322 W TEFFT ST COLLECTOR 458 1 12 4 1750 45 33 US 1 NB ON RAMP FROM W TEFFT 951 715 324 ST FREEWAY RAMP 898 1 12 4 1700 45 33 952 716 42 US 101 FREEWAY 2795 2 12 10 2250 70 32 953 716 324 US 101 FREEWAY 13872 2 12 10 2250 70 32 954 717 239 SH 1 COLLECTOR 1139 1 12 4 1700 55 32 955 718 239 WILLOW RD COLLECTOR 517 1 12 4 1700 50 32 956 719 909 S THOMPSON AVE COLLECTOR 1538 1 12 12 1700 45 33 957 719 916 W TEFFT ST COLLECTOR 2767 1 12 12 1750 45 33 958 720 721 S THOMPSON AVE COLLECTOR 4663 1 12 2 1700 55 35 959 721 722 S THOMPSON AVE COLLECTOR 2423 1 12 2 1700 60 35 960 722 723 S THOMPSON AVE COLLECTOR 2324 1 12 1 1700 55 35 961 723 726 S THOMPSON AVE COLLECTOR 1774 1 12 1 1700 55 35 962 724 44 US 101 FREEWAY 3061 2 12 10 2250 70 35 963 724 725 US 101 FREEWAY 1627 2 12 10 2250 70 35 964 725 45 US 101 FREEWAY 4642 2 12 8 2250 70 35 965 725 724 US 101 FREEWAY 1632 2 12 10 2250 70 35 966 726 727 SH 166 COLLECTOR 397 1 12 8 1700 45 35 967 726 944 RT 166 COLLECTOR 1444 1 12 3 1700 65 35 968 727 725 US 101 SB ON RAMP FROM SH 166 FREEWAY RAMP 913 1 12 4 1700 45 35 969 727 726 SH 166 COLLECTOR 397 1 12 8 1700 45 35 970 728 318 POMEROY RD COLLECTOR 3999 1 12 3 1700 55 32 971 729 319 POMEROY RD COLLECTOR 1471 1 12 4 1700 45 32 972 730 243 SH 1 COLLECTOR 8446 1 12 4 1700 60 34 973 731 461 S LAS FLORES DR COLLECTOR 2995 1 12 0 1575 35 34 974 731 732 OSAGE ST COLLECTOR 6906 1 10 0 1700 40 32 975 732 319 EL COMINA CABALLO COLLECTOR 1021 1 12 4 1700 45 32 976 733 734 S LAS FLORES DR COLLECTOR 2066 1 15 0 1700 40 34 977 734 735 DIVISION ST COLLECTOR 4366 1 12 4 1750 50 34 Diablo Canyon Power Plant K70 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 978 734 738 DIVISION ST COLLECTOR 1615 1 12 0 1575 35 34 979 735 913 ORCHARD RD COLLECTOR 3228 1 12 3 1700 55 35 980 736 737 ORCHARD RD COLLECTOR 1847 1 12 3 1700 60 35 981 737 744 JOSHUA ST COLLECTOR 1547 1 12 3 1700 60 35 982 738 739 DIVISION ST COLLECTOR 1056 1 12 0 1700 40 34 983 739 740 DIVISION ST COLLECTOR 2280 1 12 0 1350 30 34 984 740 741 DIVISION ST COLLECTOR 6363 1 12 0 1700 60 34 985 741 742 DIVISION ST COLLECTOR 8751 1 12 0 1700 60 34 986 742 920 DIVISION ST COLLECTOR 4133 1 12 0 1700 60 34 987 743 321 W TEFFT ST COLLECTOR 810 2 12 4 1750 45 32 988 743 735 ORCHARD RD COLLECTOR 3605 1 12 3 1750 50 33 989 744 745 JOSHUA ST COLLECTOR 1344 1 12 3 1700 60 35 990 745 746 HUTTON ST COLLECTOR 2080 1 12 3 1700 60 35 991 746 747 HUTTON ST COLLECTOR 3383 1 12 3 1700 60 35 992 747 727 SH 166 LOCAL ROADWAY 132 1 12 8 1700 45 35 993 748 244 SH 1 LOCAL ROADWAY 6617 1 12 4 1700 50 34 994 749 863 MORRO BAY BLVD LOCAL ROADWAY 323 1 12 12 1350 30 10 995 750 872 MAIN ST LOCAL ROADWAY 695 1 12 4 1575 35 10 996 751 750 HARBOR ST LOCAL ROADWAY 1403 1 12 12 1125 25 10 997 751 755 HARBOR ST LOCAL ROADWAY 652 1 12 12 1125 25 10 998 752 749 KERN AVE LOCAL ROADWAY 409 1 10 0 1350 30 10 999 753 752 KERN AVE LOCAL ROADWAY 2064 1 10 0 1350 30 10 1000 753 875 RIDGEWAY AVE LOCAL ROADWAY 1033 1 10 0 1350 30 10 1001 754 753 KERN AVE LOCAL ROADWAY 1742 1 10 0 1350 30 10 1002 755 749 MORRO BAY BLVD LOCAL ROADWAY 372 1 12 12 1350 30 10 1003 756 752 PACIFIC ST LOCAL ROADWAY 1306 1 10 0 1350 30 10 1004 756 877 KINGS AVE LOCAL ROADWAY 904 1 12 12 1575 35 10 1005 757 172 MAIN ST LOCAL ROADWAY 344 1 12 4 1575 35 10 1006 757 874 PACIFIC ST LOCAL ROADWAY 1348 1 10 0 1350 30 10 1007 758 750 HARBOR ST LOCAL ROADWAY 854 1 12 4 1350 30 10 1008 759 363 IRONWOOD AVE LOCAL ROADWAY 3172 1 12 4 1575 35 6 1009 759 760 IRONWOOD AVE LOCAL ROADWAY 818 1 12 4 1575 35 6 Diablo Canyon Power Plant K71 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 1010 760 79 IRONWOOD AVE LOCAL ROADWAY 401 1 12 4 1575 35 6 1011 761 694 NOYES RD COLLECTOR 2764 1 10 0 1700 50 27 1012 762 763 E ORMONDE RD COLLECTOR 2574 1 10 0 1700 45 27 1013 763 761 E ORMONDE RD COLLECTOR 1459 1 10 0 1700 45 27 1014 764 328 LAUREL LN COLLECTOR 1316 2 12 12 1750 45 19 1015 764 569 LAUREL LN COLLECTOR 1615 2 12 12 1750 45 19 1016 765 330 BISHOP ST LOCAL ROADWAY 1669 1 12 12 1750 30 19 1017 766 331 ELLA ST LOCAL ROADWAY 1965 1 12 12 1750 30 19 1018 767 332 LIZZIE ST LOCAL ROADWAY 559 1 12 12 1750 30 17 1019 768 769 MILL ST LOCAL ROADWAY 984 1 12 12 1750 30 17 1020 769 390 CALIFORNIA BLVD COLLECTOR 718 1 12 12 1575 35 17 1021 770 391 CALIFORNIA BLVD COLLECTOR 743 1 12 5 1700 40 17 1022 771 390 CALIFORNIA BLVD COLLECTOR 816 1 12 12 1700 40 17 1023 771 391 CALIFORNIA BLVD COLLECTOR 125 1 12 12 1700 40 17 1024 772 388 CALIFORNIA BLVD COLLECTOR 1692 2 12 5 1750 40 17 1025 773 925 GRAND AVE COLLECTOR 1415 1 12 3 1700 45 17 1026 774 398 GRAND AVE MINOR ARTERIAL 1588 2 12 3 1900 45 17 1027 775 893 W FOOTHILLS RD MINOR ARTERIAL 1857 2 12 12 1750 30 17 1028 776 775 TASSAJARA DR LOCAL ROADWAY 1047 1 12 3 1750 30 17 1029 777 775 W FOOTHILLS RD COLLECTOR 1565 1 12 12 1750 30 16 1030 778 777 PATRICIA DR LOCAL ROADWAY 2550 1 12 3 1750 30 16 1031 779 574 LOS OSOS VALLEY RD MINOR ARTERIAL 1726 2 12 5 1750 60 16 1032 780 187 LOS OSOS VALLEY RD COLLECTOR 109 1 12 4 1750 60 16 1033 780 188 LOS OSOS VALLEY RD COLLECTOR 787 1 12 4 1750 60 16 1034 781 399 HIGUERA ST MINOR ARTERIAL 764 2 12 3 1750 45 19 1035 782 781 SUBURBAN RD LOCAL ROADWAY 2731 1 12 12 1750 30 19 1036 783 400 MUIRFIELD DR LOCAL ROADWAY 1000 2 12 3 1750 30 19 1037 784 785 GRANADA DR COLLECTOR 1594 1 12 4 1750 45 19 1038 785 401 HIGUERA ST MINOR ARTERIAL 1432 2 12 3 1750 45 19 US 101 NB ON RAMP FROM 1039 786 314 MADONNA RD FREEWAY RAMP 401 1 12 4 1700 60 19 1040 787 400 TANK FARM RD COLLECTOR 716 1 12 4 1750 45 19 Diablo Canyon Power Plant K72 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 1041 787 403 TANK FARM RD COLLECTOR 7080 1 12 12 1700 50 19 1042 788 541 HIGUERA ST MINOR ARTERIAL 957 2 12 4 1750 45 19 1043 789 788 HIGH ST COLLECTOR 2226 1 12 12 1750 45 19 1044 790 788 PISMO ST COLLECTOR 1840 1 12 12 1750 45 19 1045 791 553 MARSH ST COLLECTOR 582 1 12 4 1700 45 19 US 101 NB ON RAMP FROM MARSH 1046 791 555 ST FREEWAY RAMP 747 1 12 4 1350 30 19 1047 792 541 HIGUERA ST MINOR ARTERIAL 259 2 12 3 1750 30 19 1048 793 543 NIPOMO ST LOCAL ROADWAY 692 1 12 12 1750 25 17 1049 794 544 NIPOMO ST LOCAL ROADWAY 665 1 12 12 1750 25 19 1050 795 530 MORRO ST LOCAL ROADWAY 689 1 12 12 1750 25 17 1051 796 811 SANTA BARBARA ST COLLECTOR 788 1 12 12 1750 40 19 1052 796 815 OSOS ST LOCAL ROADWAY 672 1 12 12 1750 25 19 1053 797 528 SANTA ROSA ST COLLECTOR 1073 1 12 12 1750 45 17 1054 797 815 BUCHON ST LOCAL ROADWAY 487 1 12 12 1750 25 17 1055 798 799 SANTA ROSA ST MINOR ARTERIAL 356 2 12 12 1750 25 17 1056 799 191 SANTA ROSA ST MINOR ARTERIAL 729 2 12 12 1750 25 17 1057 800 799 MILL ST LOCAL ROADWAY 374 1 12 12 1750 25 17 1058 801 798 PALM ST LOCAL ROADWAY 359 1 12 12 1750 25 17 1059 802 49 SH 1 MINOR ARTERIAL 371 2 12 3 1750 40 17 1060 802 517 SH 1 MINOR ARTERIAL 1107 2 12 3 1750 40 17 1061 803 23 US 101 FREEWAY 605 2 12 10 2250 60 17 1062 803 524 US 101 FREEWAY 503 2 12 10 2250 60 17 1063 803 804 MONTALBAN ST LOCAL ROADWAY 886 1 12 12 1700 40 17 US 101 SB OFF RAMP ONTO 1064 804 802 MONTALBAN ST FREEWAY RAMP 610 1 12 12 1700 40 17 1065 805 806 PACIFIC ST LOCAL ROADWAY 357 1 12 12 1750 25 19 1066 806 808 BROAD ST LOCAL ROADWAY 347 1 12 12 1750 30 19 1067 808 810 BROAD ST LOCAL ROADWAY 351 1 12 3 1750 30 19 1068 809 810 BUCHON ST LOCAL ROADWAY 1439 1 12 12 1750 25 19 1069 810 567 BROAD ST LOCAL ROADWAY 2179 1 12 12 1700 40 19 1070 811 313 SANTA BARBARA ST LOCAL ROADWAY 1741 1 12 12 1750 40 19 Diablo Canyon Power Plant K73 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 1071 811 568 UPHAM ST LOCAL ROADWAY 423 1 12 12 1125 25 19 1072 812 313 RT 227 COLLECTOR 515 1 12 12 1750 50 19 1073 813 531 OSOS ST LOCAL ROADWAY 299 1 12 12 1750 25 17 1074 814 813 OSOS ST LOCAL ROADWAY 371 1 12 12 1750 25 17 1075 815 814 OSOS ST LOCAL ROADWAY 373 1 12 12 1750 25 17 1076 816 813 PACIFIC ST LOCAL ROADWAY 306 1 12 12 1750 25 17 1077 817 808 PISMO ST LOCAL ROADWAY 375 1 12 12 1750 25 19 1078 818 814 PISMO ST LOCAL ROADWAY 332 1 12 12 1750 25 17 1079 819 820 PALM LOCAL ROADWAY 391 1 12 12 1750 25 17 1080 820 564 CHORRO ST LOCAL ROADWAY 711 1 12 12 1125 25 17 1081 821 394 GRAND AVE COLLECTOR 237 2 12 3 1750 45 17 1082 821 395 GRAND AVE MINOR ARTERIAL 522 2 12 3 1900 45 17 1083 822 143 SH 58 COLLECTOR 1001 1 12 4 1350 30 8 1084 827 110 PORTOLA RD COLLECTOR 1965 1 12 4 1750 45 4 1085 828 109 SAN GABRIEL RD COLLECTOR 2068 1 12 4 1750 45 8 1086 829 79 SH 41 COLLECTOR 1757 1 12 4 1700 40 10 1087 830 78 SH 1 OFF RAMP TO SH 41 FREEWAY RAMP 253 1 12 4 1750 45 10 1088 831 362 SAN JACINTO ST COLLECTOR 167 2 12 4 1750 35 6 1089 832 831 MAIN ST COLLECTOR 1342 1 12 12 1575 35 6 1090 832 833 MAIN ST COLLECTOR 2015 1 12 4 1575 35 6 1091 833 829 MAIN ST COLLECTOR 1807 1 12 4 1575 35 10 1092 833 832 MAIN ST COLLECTOR 2015 1 12 12 1575 35 6 1093 834 832 ELENA ST LOCAL ROADWAY 901 1 12 4 1575 35 6 1094 835 759 AVALON ST LOCAL ROADWAY 381 1 12 4 1125 25 6 1095 835 833 AVALON ST LOCAL ROADWAY 954 1 12 4 1125 25 6 1096 836 364 YERBA BUENA ST COLLECTOR 143 1 12 4 1750 25 5 1097 837 831 MAINT ST COLLECTOR 1753 1 12 4 1700 40 6 1098 837 1080 MAINT ST COLLECTOR 1365 1 12 10 1700 40 5 1099 838 359 OCEAN AVE LOCAL ROADWAY 1096 1 12 4 1575 35 5 1100 839 65 SH 1 MINOR ARTERIAL 4772 2 12 6 1900 55 5 1101 839 66 SH 1 MINOR ARTERIAL 3030 2 12 6 1750 55 5 1102 840 857 CHANEY AVE LOCAL ROADWAY 221 1 12 4 1575 35 5 Diablo Canyon Power Plant K74 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 1103 841 842 OCEAN BLVD LOCAL ROADWAY 128 1 12 4 1575 35 5 1104 842 67 OCEAN BLVD LOCAL ROADWAY 164 1 12 4 1575 35 5 1105 843 841 RICHARD AVE LOCAL ROADWAY 338 1 12 4 1575 35 5 1106 844 841 OCEAN BLVD LOCAL ROADWAY 1292 1 12 4 1575 35 5 1107 844 846 OCEAN BLVD LOCAL ROADWAY 675 1 12 4 1575 35 5 1108 845 847 RICHARD AVE LOCAL ROADWAY 491 1 12 4 1575 35 5 1109 845 860 RICHARD AVE LOCAL ROADWAY 657 1 12 4 1575 35 5 1110 846 66 OLD CREEK RD COLLECTOR 149 1 12 4 1750 35 5 1111 846 847 OLD CREEK RD COLLECTOR 647 1 12 3 1700 35 5 1112 847 114 OLD CREEK RD COLLECTOR 1559 1 12 3 1700 50 5 1113 847 846 OLD CREEK RD COLLECTOR 647 1 12 4 1575 35 5 1114 848 849 HACIENDA DR COLLECTOR 2120 1 12 4 1700 45 5 1115 849 850 HACIENDA DR LOCAL ROADWAY 216 1 12 4 1575 35 5 1116 850 846 OCEAN BLVD LOCAL ROADWAY 384 1 12 4 1575 35 5 1117 851 839 STUDIO DR LOCAL ROADWAY 194 1 12 4 1750 35 5 1118 852 66 OLD CREEK RD MINOR ARTERIAL 99 2 12 4 1750 35 5 1119 853 852 STUDIO DR LOCAL ROADWAY 413 1 12 4 1575 35 5 1120 854 851 STUDIO DR LOCAL ROADWAY 1316 1 12 4 1575 35 5 1121 854 853 STUDIO DR LOCAL ROADWAY 1256 1 12 4 1575 35 5 1122 855 850 OCEAN BLVD LOCAL ROADWAY 1110 1 12 4 1575 35 5 1123 855 857 OCEAN BLVD LOCAL ROADWAY 1533 1 12 4 1575 35 5 1124 856 840 SHEARER AVE LOCAL ROADWAY 1432 1 12 4 1575 35 5 1125 856 849 SHEARER AVE LOCAL ROADWAY 1171 1 12 4 1575 35 5 1126 857 839 CHANEY AVE LOCAL ROADWAY 145 1 12 4 1750 35 5 1127 858 859 STUDIO DR LOCAL ROADWAY 1087 1 12 4 1575 35 5 1128 859 852 STUDIO DR LOCAL ROADWAY 274 1 12 4 1575 35 5 1129 860 843 RICHARD AVE LOCAL ROADWAY 785 1 12 4 1575 35 5 1130 861 76 SH 1 NB ON RAMP FROM MAIN ST FREEWAY RAMP 224 1 12 4 1700 45 10 1131 862 174 MORRO BAY BLVD LOCAL ROADWAY 224 1 12 4 1750 35 10 1132 863 862 MORRO BAY BLVD LOCAL ROADWAY 169 1 12 4 1125 25 10 1133 864 371 QUINTANA RD COLLECTOR 527 1 14 3 1575 35 10 1134 864 863 MORRO BAY BLVD LOCAL ROADWAY 106 1 12 4 1125 25 10 Diablo Canyon Power Plant K75 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 1135 865 374 STATE PARK RD LOCAL ROADWAY 1426 1 10 0 1575 30 10 1136 865 866 PARK VIEW RD LOCAL ROADWAY 1135 1 10 0 1125 25 10 1137 866 867 PARK VIEW RD LOCAL ROADWAY 2018 1 10 0 1125 25 10 1138 867 868 PARK VIEW RD LOCAL ROADWAY 1497 1 10 0 1125 25 10 1139 868 166 STATE PARK RD COLLECTOR 637 1 12 3 1700 45 10 1140 869 870 EMBARCADERO ST LOCAL ROADWAY 543 1 12 12 1125 25 10 1141 870 871 EMBARCADERO ST LOCAL ROADWAY 1825 1 12 12 1125 25 10 1142 871 758 EMBARCADERO ST LOCAL ROADWAY 737 1 12 12 1125 25 10 1143 871 872 BEACH ST LOCAL ROADWAY 1148 1 12 12 1575 35 10 1144 872 368 MAIN ST LOCAL ROADWAY 885 2 12 4 1750 35 10 1145 873 874 PINEY WAY LOCAL ROADWAY 1809 1 12 12 1575 35 10 1146 874 752 PACIFIC ST LOCAL ROADWAY 1143 1 10 0 1350 30 10 1147 875 876 KINGS AVE LOCAL ROADWAY 630 1 12 12 1575 35 10 1148 876 756 KINGS AVE LOCAL ROADWAY 959 1 12 12 1575 35 10 1149 877 878 QUINTANA RD LOCAL ROADWAY 894 1 12 12 1575 35 10 1150 878 174 QUINTANA RD LOCAL ROADWAY 142 1 12 12 1750 35 10 1151 879 274 PECHO VALLEY RD LOCAL ROADWAY 1205 1 10 0 1350 30 14 1152 880 879 PECHO VALLEY RD LOCAL ROADWAY 616 1 10 0 1350 30 14 1153 881 880 PECHO VALLEY RD LOCAL ROADWAY 1786 1 10 0 1350 30 14 1154 882 881 PECHO VALLEY RD LOCAL ROADWAY 728 1 10 0 1350 30 14 1155 883 882 PECHO VALLEY RD LOCAL ROADWAY 1091 1 10 0 1350 30 14 1156 884 883 PECHO VALLEY RD LOCAL ROADWAY 743 1 10 0 1350 30 14 1157 885 884 PECHO VALLEY RD LOCAL ROADWAY 1333 1 10 0 1350 30 14 1158 886 885 PECHO VALLEY RD LOCAL ROADWAY 2378 1 10 0 1350 30 14 1159 887 886 PECHO VALLEY RD LOCAL ROADWAY 1492 1 10 0 1350 30 14 1160 888 887 PECHO VALLEY RD LOCAL ROADWAY 1745 1 10 0 1350 30 14 1161 889 888 PECHO VALLEY RD LOCAL ROADWAY 1538 1 10 0 1350 30 14 1162 890 157 PALISADES AVE COLLECTOR 1093 1 12 4 1750 45 10 1163 891 159 LOS OSOS VALLEY RD COLLECTOR 2037 2 12 6 1750 35 15 1164 892 511 SANTA YNEZ AVE LOCAL ROADWAY 304 1 12 4 1575 35 10 1165 892 1040 10TH ST LOCAL ROADWAY 690 1 12 4 1750 35 10 1166 893 700 W FOOTHILLS RD MINOR ARTERIAL 366 2 12 12 1750 30 17 Diablo Canyon Power Plant K76 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 1167 894 893 BROAD ST COLLECTOR 598 1 12 4 1750 45 17 1168 895 897 OCEANAIRE DR COLLECTOR 2121 1 12 4 1750 45 16 1169 896 897 OCEANAIRE DR COLLECTOR 1661 1 12 4 1750 45 16 1170 897 900 MADONNA RD MINOR ARTERIAL 1376 2 12 4 1750 45 16 1171 898 900 DALIDIO DR COLLECTOR 398 1 12 4 1750 45 16 1172 899 901 EL MERCADO COLLECTOR 867 1 12 4 1750 45 19 1173 900 901 MADONNA RD MAJOR ARTERIAL 657 3 12 4 1750 45 16 1174 901 310 MADONNA RD MAJOR ARTERIAL 1213 3 12 4 1750 45 19 1175 902 402 HIGUERA ST MINOR ARTERIAL 2495 2 11 12 1900 45 19 1176 903 902 MARGARITA AVE COLLECTOR 2173 1 12 4 1750 45 19 1177 904 304 AVILA BEACH DR COLLECTOR 951 1 12 3 1700 50 22 1178 904 592 SAN LUIS BAY DR COLLECTOR 279 1 12 12 1700 45 22 1179 905 299 AVILA BEACH DR COLLECTOR 1341 1 12 3 1700 45 22 1180 906 905 FIRST ST COLLECTOR 1869 1 12 12 1750 30 22 1181 907 297 AVILA BEACH DR COLLECTOR 1348 1 12 12 675 15 22 1182 908 994 SAN LUIS BAY DR COLLECTOR 4391 1 12 12 1700 50 22 1183 909 720 S THOMPSON AVE COLLECTOR 8776 1 12 2 1700 55 33 1184 910 719 S THOMPSON AVE COLLECTOR 1450 1 12 3 1750 40 33 1185 911 910 S THOMPSON AVE COLLECTOR 2790 1 12 3 1700 45 33 1186 912 911 SCHOOL ENTRANCE COLLECTOR 555 1 12 8 1700 45 33 1187 913 736 ORCHARD RD COLLECTOR 7391 1 12 3 1700 60 35 1188 914 322 W TEFFT ST COLLECTOR 471 1 12 4 1750 45 33 1189 915 914 MARY AVE COLLECTOR 1385 1 12 8 1750 45 33 1190 916 715 W TEFFT ST COLLECTOR 406 1 12 12 1750 45 33 1191 917 916 S OAKGLEN AVE COLLECTOR 5313 1 12 8 1750 45 33 1192 918 457 POMEROY RD LOCAL ROADWAY 786 1 11 0 1350 30 32 1193 919 458 POMEROY RD LOCAL ROADWAY 1037 1 11 0 1125 25 32 1194 920 921 DIVISION ST LOCAL ROADWAY 593 1 12 0 1350 30 34 1195 921 748 DIVISION ST COLLECTOR 742 1 12 0 1750 60 34 1196 922 493 S HALCYON RD COLLECTOR 3022 1 12 3 1750 55 29 1197 923 196 RT 227 COLLECTOR 3619 1 12 6 1750 60 23 1198 924 923 AERO DR. COLLECTOR 830 1 12 0 1700 45 23 Diablo Canyon Power Plant K77 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 1199 925 774 GRAND AVE COLLECTOR 508 1 12 3 1700 45 17 1200 926 620 WADSWORTH AVE COLLECTOR 449 1 12 4 1700 45 26 1201 926 621 WADSWORTH AVE COLLECTOR 438 1 12 4 1700 45 26 1202 926 927 PRICE ST COLLECTOR 1093 1 12 4 1750 45 26 1203 927 623 PRICE ST COLLECTOR 366 1 12 4 1750 45 26 1204 927 626 POMEROY AVE COLLECTOR 565 2 12 0 1750 45 26 1205 927 926 PRICE ST COLLECTOR 1092 1 12 12 1700 45 26 1206 928 416 PISMO COAST RV PARK COLLECTOR 658 1 12 0 1750 45 26 1207 929 930 PIER AVE COLLECTOR 1728 2 12 0 1700 45 29 1208 930 419 PIER AVE COLLECTOR 312 1 12 0 1750 45 29 1209 931 471 EL CAMINO REAL COLLECTOR 633 1 12 0 1750 45 29 1210 931 667 BRISCO RD COLLECTOR 282 1 12 4 1750 45 29 1211 932 663 E GRAND AVE COLLECTOR 1523 2 12 3 1750 40 29 1212 932 931 BRISCO RD COLLECTOR 2216 1 12 4 1750 45 29 1213 933 931 EL CAMINO REAL COLLECTOR 3204 1 12 0 1750 45 29 1214 934 933 EL CAMINO REAL COLLECTOR 1379 1 12 0 1700 45 29 1215 934 942 EL CAMINO REAL COLLECTOR 1466 1 12 4 1700 45 29 1216 935 668 BRANCH ST COLLECTOR 1104 1 12 3 1750 45 29 US 101 ON RAMP FROM EL CAMINO 1217 936 38 REAL FREEWAY RAMP 736 1 12 3 1700 45 29 1218 936 937 BRANCH ST COLLECTOR 1053 1 12 3 1700 45 29 1219 936 940 BRANCH ST COLLECTOR 964 1 12 3 1700 45 29 1220 937 935 BRANCH ST COLLECTOR 800 1 12 3 1750 45 29 1221 938 935 RANCHO PARKWAY COLLECTOR 1655 1 12 0 1750 45 29 1222 939 937 MALL ENTRANCE COLLECTOR 490 1 12 0 1750 45 29 1223 940 432 BRANCH ST COLLECTOR 884 1 12 3 1750 45 29 1224 941 663 DRIVEWAY COLLECTOR 338 1 12 0 1750 45 29 US 101 ON RAMP FROM EL CAMINO 1225 942 37 REAL FREEWAY RAMP 390 1 12 4 1700 45 29 US 101 NB ON RAMP FROM JAMES 1226 943 36 WAY FREEWAY RAMP 393 1 12 4 1700 45 27 1227 944 945 RT 166 COLLECTOR 2528 1 12 3 1700 65 35 Diablo Canyon Power Plant K78 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 1228 945 946 RT 166 COLLECTOR 4631 1 12 3 1700 65 35 1229 947 347 LOPEZ RD COLLECTOR 1008 1 12 2 1750 50 24 1230 948 704 EL CAMPO RD COLLECTOR 3037 1 12 0 1700 45 32 1231 949 1043 9TH ST LOCAL ROADWAY 1326 1 12 4 1575 35 10 1232 951 949 RAMONA AVE LOCAL ROADWAY 1617 1 12 4 1575 35 10 1233 951 957 4TH ST LOCAL ROADWAY 1999 1 12 4 1575 35 10 1234 952 892 SANTA YNEZ AVE LOCAL ROADWAY 382 1 12 4 1575 35 10 1235 953 952 SANTA YNEZ AVE LOCAL ROADWAY 1890 1 12 4 1575 35 10 1236 954 958 11TH ST LOCAL ROADWAY 1301 1 12 4 1575 35 10 1237 954 1042 11TH ST LOCAL ROADWAY 1357 1 12 4 1575 35 10 1238 955 956 11TH ST LOCAL ROADWAY 1342 1 12 4 1575 35 10 1239 956 162 SANTA YSABEL AVE COLLECTOR 2300 1 12 4 1750 35 10 1240 957 951 4TH ST LOCAL ROADWAY 1999 1 12 4 1575 35 10 1241 957 955 EL MORRO AVE LOCAL ROADWAY 2300 1 12 4 1575 35 10 1242 958 954 11TH ST LOCAL ROADWAY 1301 1 12 4 1575 35 10 1243 958 955 11TH ST LOCAL ROADWAY 717 1 12 4 1575 35 10 1244 959 958 PASO ROBLES AVE LOCAL ROADWAY 2213 1 12 4 1575 35 10 1245 960 961 CLARK VALLEY RD LOCAL ROADWAY 1105 1 12 1 1700 40 15 1246 961 962 CLARK VALLEY RD LOCAL ROADWAY 814 1 12 1 1700 40 15 1247 962 963 CLARK VALLEY RD LOCAL ROADWAY 286 1 12 1 1700 40 15 1248 963 964 CLARK VALLEY RD LOCAL ROADWAY 1753 1 12 1 1700 40 15 1249 964 965 CLARK VALLEY RD LOCAL ROADWAY 1238 1 12 1 1700 40 15 1250 965 966 CLARK VALLEY RD LOCAL ROADWAY 707 1 12 1 1700 40 15 1251 966 967 CLARK VALLEY RD LOCAL ROADWAY 1297 1 12 1 1700 40 15 1252 967 968 CLARK VALLEY RD LOCAL ROADWAY 1309 1 12 1 1700 40 15 1253 968 969 CLARK VALLEY RD LOCAL ROADWAY 1052 1 12 1 1700 40 15 1254 969 970 CLARK VALLEY RD LOCAL ROADWAY 1306 1 12 1 1700 40 15 1255 970 971 CLARK VALLEY RD LOCAL ROADWAY 346 1 12 1 1700 40 15 1256 971 972 CLARK VALLEY RD LOCAL ROADWAY 1042 1 12 1 1700 40 15 1257 972 973 CLARK VALLEY RD LOCAL ROADWAY 2736 1 12 1 1700 40 15 1258 973 180 LOS OSOS VALLEY RD COLLECTOR 1682 1 12 3 1700 60 15 1259 974 908 SEE CANYON RD COLLECTOR 5611 1 12 1 1700 40 22 Diablo Canyon Power Plant K79 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 1260 975 974 SEE CANYON RD COLLECTOR 2641 1 12 1 1700 40 22 1261 976 975 SEE CANYON RD COLLECTOR 1162 1 12 1 1700 40 22 1262 977 976 SEE CANYON RD COLLECTOR 1973 1 12 1 1700 40 22 1263 978 977 SEE CANYON RD COLLECTOR 752 1 12 1 1700 40 22 1264 979 978 SEE CANYON RD COLLECTOR 947 1 12 1 1700 40 22 1265 980 979 SEE CANYON RD COLLECTOR 2619 1 12 1 1700 40 22 1266 981 980 SEE CANYON RD COLLECTOR 5095 1 12 1 1700 40 22 1267 982 975 DAVIS CANYON RD COLLECTOR 2529 1 12 1 1700 40 22 1268 983 982 DAVIS CANYON RD COLLECTOR 216 1 12 1 1700 40 22 1269 984 983 DAVIS CANYON RD COLLECTOR 248 1 12 1 1700 40 22 1270 985 984 DAVIS CANYON RD COLLECTOR 5207 1 12 1 1700 40 22 1271 986 581 LOS OSOS VALLEY RD MINOR ARTERIAL 751 2 12 12 1750 60 16 1272 987 986 PERFUMO CANYON RD LOCAL ROADWAY 1339 1 12 1 1700 40 16 1273 988 987 PERFUMO CANYON RD LOCAL ROADWAY 815 1 12 1 1700 40 16 1274 989 988 PERFUMO CANYON RD LOCAL ROADWAY 1575 1 12 1 1700 40 16 1275 990 989 PERFUMO CANYON RD LOCAL ROADWAY 1425 1 12 1 1700 40 16 US 1 ON RAMP FROM AVILA BEACH 1276 991 32 DR FREEWAY RAMP 176 1 12 4 1700 45 22 1277 992 991 MONTE RD LOCAL ROADWAY 1027 1 12 4 1700 45 22 1278 993 994 ONTARIO RD LOCAL ROADWAY 874 1 12 4 1700 45 22 1279 994 595 SAN LUIS BAY DR COLLECTOR 177 1 12 12 1700 50 22 1280 995 597 MONROE RD LOCAL ROADWAY 3065 1 12 4 1700 45 22 1281 996 993 ONTARIO RD LOCAL ROADWAY 2730 1 12 4 1700 45 22 1282 996 999 ONTARIO RD LOCAL ROADWAY 3673 1 12 4 1700 45 22 1283 997 588 ONTARIO RD LOCAL ROADWAY 164 1 12 4 1700 45 22 1284 998 997 ONTARIO RD LOCAL ROADWAY 982 1 12 4 1700 45 22 1285 999 998 ONTARIO RD LOCAL ROADWAY 2098 1 12 4 1700 45 22 1286 1000 156 LOS OSOS VALLEY RD COLLECTOR 1087 1 12 6 1700 45 10 1287 1001 1000 BRODERSON AVE LOCAL ROADWAY 1431 1 12 4 1125 25 10 1288 1002 158 BAYVIEW HEIGHTS DR LOCAL ROADWAY 518 1 12 4 1750 25 15 1289 1003 1002 BAYVIEW HEIGHTS DR LOCAL ROADWAY 1865 1 12 4 1125 25 15 1290 1004 1092 WILLOW RD COLLECTOR 3293 1 12 6 1700 50 32 Diablo Canyon Power Plant K80 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 1291 1005 704 S HALCYON RD LOCAL ROADWAY 2603 1 12 4 1700 45 32 1292 1006 421 US 101 OFF RAMP TO TRAFFIC WAY COLLECTOR 548 2 12 4 1750 45 30 US 101 SB ON RAMP FROM TRAFFIC 1293 1006 422 WAY FREEWAY RAMP 1000 1 12 4 1700 45 30 1294 1007 1006 CHERRY AVE LOCAL ROADWAY 2655 1 12 4 1700 45 30 1295 1008 1007 BRANCH MILL RD LOCAL ROADWAY 572 1 12 4 1700 45 30 1296 1009 1008 BRANCH MILL RD LOCAL ROADWAY 1039 1 12 4 1700 45 30 1297 1010 1009 BRANCH MILL RD LOCAL ROADWAY 2105 1 12 4 1700 45 30 1298 1011 447 VALLEY RD COLLECTOR 1251 1 12 3 1700 50 30 1299 1012 491 FARROLL AVE COLLECTOR 1410 1 12 12 1700 40 29 1300 1012 1084 FARROLL AVE COLLECTOR 1215 1 12 12 1700 40 29 1301 1013 659 22ND ST LOCAL ROADWAY 1114 1 10 0 1125 25 29 1302 1014 656 13TH ST LOCAL ROADWAY 1046 1 12 12 1700 40 29 1303 1015 1013 WILMAR AVE LOCAL ROADWAY 1308 1 12 12 1125 25 29 1304 1015 1014 WILMAR AVE LOCAL ROADWAY 1205 1 12 12 1125 25 29 1305 1016 419 SH 1 COLLECTOR 3034 1 12 4 1750 50 29 1306 1017 618 MATTIE RD COLLECTOR 812 1 12 4 1750 40 26 1307 1101 1017 MATTIE RD COLLECTOR 234 1 12 4 1700 40 26 1308 1019 1018 MATTIE RD COLLECTOR 2803 1 12 4 1700 40 26 1309 1020 1019 MATTIE RD COLLECTOR 4074 1 12 4 1700 40 25 1310 1021 623 PRICE CANYON RD COLLECTOR 569 1 12 3 1750 45 26 1311 1022 465 S 9TH ST COLLECTOR 2257 1 12 4 1750 35 29 1312 1022 1053 MENTONE AVE LOCAL ROADWAY 2581 1 12 12 1700 40 29 1313 1023 464 N 8TH ST COLLECTOR 2109 1 12 4 1750 35 29 1314 1023 1052 ATLANTIC CITY AVE LOCAL ROADWAY 758 1 12 12 1350 30 29 1315 1024 468 N 13TH ST COLLECTOR 2075 1 12 4 1750 35 29 1316 1024 650 ATLANTIC CITY AVE LOCAL ROADWAY 1789 1 12 12 1350 30 29 1317 1025 462 ATLANTIC CITY AVE LOCAL ROADWAY 1581 1 12 12 1350 30 28 1318 1027 77 ATASCADERO RD COLLECTOR 1501 1 12 4 1700 45 10 1319 1029 388 E FOOTHILL BLVD COLLECTOR 765 2 12 4 1750 45 17 1320 1030 328 LAUREL LN COLLECTOR 430 1 12 4 1750 45 19 1321 1031 556 SOUTH ST COLLECTOR 551 1 12 4 1750 45 19 Diablo Canyon Power Plant K81 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 1322 1032 401 PRADO RD COLLECTOR 759 1 12 4 1750 45 19 1323 1033 630 FIVE CITITES DRIVE COLLECTOR 203 1 12 4 1750 45 26 1324 1034 493 SH 1 COLLECTOR 2613 1 12 12 1750 40 29 1325 1035 719 E TEFFT ST COLLECTOR 2244 1 12 4 1750 45 33 1326 1036 369 QUINTANA RD COLLECTOR 1801 1 14 3 1575 35 10 1327 1036 371 QUINTANA RD COLLECTOR 417 1 14 3 1575 35 10 1328 1040 891 10TH ST LOCAL ROADWAY 714 1 12 4 1750 35 10 1329 1041 160 NIPOMO AVE COLLECTOR 360 1 12 4 1575 35 10 1330 1042 952 11TH ST LOCAL ROADWAY 695 1 12 4 1575 35 10 1331 1042 1041 NIPOMO AVE COLLECTOR 1974 1 12 4 1575 35 10 1332 1043 511 9TH ST LOCAL ROADWAY 726 1 12 4 1575 35 10 1333 1043 1042 NIPOMO AVE COLLECTOR 668 1 12 4 1575 35 10 1334 1044 160 NIPOMO AVE COLLECTOR 2565 1 12 4 1575 35 10 1335 1045 1046 BINSCARTH RD COLLECTOR 492 1 12 4 1700 45 10 1336 1045 1047 FEARN AVE COLLECTOR 1073 1 12 4 1350 30 10 1337 1046 512 DORIS AVE COLLECTOR 880 1 12 4 1700 45 10 1338 1047 951 RAMONA AVE COLLECTOR 1815 1 12 4 1700 45 10 1339 1047 1045 FEARN AVE COLLECTOR 1018 1 12 4 1350 30 10 1340 1048 1049 EL CAMINO REAL COLLECTOR 6454 1 12 4 1750 60 8 1341 1050 1049 SANTA BARBRA RD COLLECTOR 1792 1 12 4 1750 45 8 1342 1051 6 US 101 FREEWAY 3178 2 12 10 2250 70 8 1343 1051 7 US 101 FREEWAY 2005 2 12 10 2250 70 8 US 101 OFF RAMP TO SANTA 1344 1051 1050 BARBRA RD FREEWAY RAMP 1570 1 12 4 1700 45 8 1345 1052 466 N 10TH ST COLLECTOR 2078 1 12 4 1750 35 29 1346 1052 1024 ATLANTIC CITY AVE LOCAL ROADWAY 1120 1 12 12 1350 30 29 1347 1053 427 MENTONE AVE LOCAL ROADWAY 713 1 12 12 1700 40 29 1348 1053 469 S 16TH ST LOCAL ROADWAY 2210 1 12 4 1750 35 29 1349 1054 1055 RADCLIFF ST LOCAL ROADWAY 951 1 12 4 1700 40 10 1350 1055 175 RADCLIFF ST LOCAL ROADWAY 212 1 12 4 1700 40 10 1351 1056 1055 LITTLE MORRO CREEK RD LOCAL ROADWAY 649 1 12 4 1700 40 10 1352 1057 1056 LITTLE MORRO CREEK RD LOCAL ROADWAY 731 1 12 4 1700 40 10 Diablo Canyon Power Plant K82 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 1353 1058 1057 LITTLE MORRO CREEK RD LOCAL ROADWAY 633 1 12 4 1700 40 10 1354 1059 1058 LITTLE MORRO CREEK RD LOCAL ROADWAY 1961 1 12 4 1700 40 10 1355 1060 506 TERESA DR LOCAL ROADWAY 227 1 12 4 1700 40 10 1356 1061 55 SONOMA AVE LOCAL ROADWAY 725 1 12 4 1700 40 11 1357 1061 1067 SONOMA AVE LOCAL ROADWAY 439 1 12 4 1700 40 11 1358 1062 1061 SONOMA AVE LOCAL ROADWAY 1103 1 12 4 1700 40 11 1359 1063 56 DIARY CREEK RD LOCAL ROADWAY 490 1 12 4 1750 40 11 1360 1064 1063 DIARY CREEK RD LOCAL ROADWAY 884 1 12 4 1700 40 11 1361 1065 1064 DIARY CREEK RD LOCAL ROADWAY 1159 1 12 4 1700 40 11 1362 1066 1065 DIARY CREEK RD LOCAL ROADWAY 1211 1 12 4 1700 40 11 1363 1067 55 SH 1 MINOR ARTERIAL 760 2 12 4 1900 65 11 1364 1067 56 SH 1 MINOR ARTERIAL 3087 2 12 4 1750 65 11 1365 1068 1061 SAN JOAQUIN AVE LOCAL ROADWAY 1253 1 12 4 1700 40 11 1366 1069 812 RT 227 MINOR ARTERIAL 1894 2 12 12 1900 50 19 1367 1070 194 RT 227 MINOR ARTERIAL 1906 2 12 3 1750 45 19 1368 1071 398 LOOMIS ST LOCAL ROADWAY 1313 1 12 4 1700 40 17 1369 1072 633 JAMES WAY LOCAL ROADWAY 2091 1 12 4 1700 40 27 1370 1073 393 SAN LUIS DR COLLECTOR 1560 1 12 12 1700 45 17 1371 1074 1077 CORAL AVE LOCAL ROADWAY 982 1 12 4 1125 25 6 1372 1075 366 SANDALWOOD AVE COLLECTOR 1859 1 12 4 1125 25 5 1373 1075 1076 JAVA ST COLLECTOR 268 1 12 4 1125 25 5 1374 1076 1079 BEACHCOMBER ST COLLECTOR 821 1 12 4 1125 25 5 1375 1077 1078 CORAL AVE LOCAL ROADWAY 1566 1 12 4 1125 25 6 1376 1078 362 SAN JACINTO ST COLLECTOR 353 2 12 4 1750 25 6 1377 1079 64 ORCAS ST LOCAL ROADWAY 612 1 12 4 1125 25 5 1378 1079 365 BEACHCOMBER ST COLLECTOR 1484 1 12 4 1125 25 5 1379 1080 836 MAINT ST COLLECTOR 1523 1 12 10 1700 40 5 1380 1081 359 OCEAN AVE COLLECTOR 1554 1 12 12 1575 35 5 1381 1082 498 OCEAN AVE COLLECTOR 1710 1 12 12 1575 35 5 1382 1082 1081 OCEAN AVE COLLECTOR 1748 1 12 12 1575 35 5 1383 1083 498 13TH ST COLLECTOR 966 1 12 4 1575 35 5 1384 1084 922 S HALCYON RD COLLECTOR 1505 1 12 3 1700 55 29 Diablo Canyon Power Plant K83 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 1385 1085 185 LOS OSOS VALLEY RD COLLECTOR 2071 1 12 12 1700 60 16 1386 1086 60 SAN BERNARDO CREEK RD LOCAL ROADWAY 6033 1 12 4 1700 45 10 1387 1087 1050 SANTA BARBRA RD COLLECTOR 1730 1 12 4 1700 45 8 1388 1088 138 EL CAMINO REAL COLLECTOR 1553 1 12 4 1700 45 12 1389 1089 1088 HALE CRX COLLECTOR 10347 1 12 4 1700 45 12 1390 1090 10 US 101 MINOR ARTERIAL 991 2 12 10 1900 65 12 1391 1090 11 US 101 MINOR ARTERIAL 1618 2 12 10 1900 65 12 1392 1091 1090 TASSAJARA CREEK RD COLLECTOR 4149 1 12 4 1700 45 12 1393 1092 718 WILLOW RD COLLECTOR 3506 1 12 6 1700 50 32 1394 1093 1010 NEWSOM SPRINGS RD COLLECTOR 4004 1 12 2 1700 45 30 1395 1094 352 HUASNA RD COLLECTOR 2556 1 12 2 1700 45 30 1396 1095 186 MADONNA RD COLLECTOR 1639 1 12 4 1750 45 16 US 101 SB ON RAMP FROM HINDS 1397 1097 440 AVE FREEWAY RAMP 1000 1 12 4 1700 45 26 1398 1097 1098 STIMSON AVE COLLECTOR 558 1 12 4 1700 45 26 1399 1098 414 SH 1 COLLECTOR 740 1 12 12 1700 40 26 1400 1099 620 WADSWORTH AVE COLLECTOR 365 1 12 4 1700 40 26 1401 8005 5 US 101 FREEWAY 2289 2 12 10 2250 65 8 1402 8046 46 US 101 FREEWAY 6984 3 12 8 2250 70 35 1403 8074 74 SH 1 COLLECTOR 2347 1 12 10 1700 60 1 1414 407 1100 US 101 FREEWAY 3227 2 12 10 2250 70 26 1415 615 1100 US 101 FREEWAY 2141 2 12 10 2250 70 26 1416 620 411 SH 1 COLLECTOR 465 1 12 4 1700 45 26 1417 411 409 SH 1 COLLECTOR 833 1 12 4 1750 45 26 1418 409 619 SHELL BEACH RD COLLECTOR 2331 1 12 4 1700 45 26 1419 619 618 SHELL BEACH RD COLLECTOR 375 1 12 4 1750 45 26 1420 618 1017 MATTIE RD COLLECTOR 811 1 12 4 1700 40 26 1421 1017 1100 US 101 NB ON RAMP FREEWAY RAMP 689 1 12 4 1700 45 26 1422 1018 1101 MATTIE RD COLLECTOR 2724 1 12 4 1700 40 26 1423 623 1021 PRICE CANYON BLVD COLLECTOR 490 1 12 4 1700 45 26 1424 1021 621 BELLO ST COLLECTOR 1454 1 12 4 1700 45 26 1425 409 926 PRICE ST COLLECTOR 1152 2 12 4 1900 45 26 Diablo Canyon Power Plant K84 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Saturation Free Up Down No. Lane Shoulder Flow Flow Grid Stream Stream Length of Width Width Rate Speed Map Link # Node Node Roadway Name Roadway Type (ft.) Lanes (ft.) (ft.) (pcphpl) (mph) Number 1426 1098 1097 STIMSON AVE COLLECTOR 558 1 12 4 1700 45 26 1427 414 1098 SH 1 COLLECTOR 741 1 12 12 1700 40 26 1428 1098 415 SH 1 COLLECTOR 317 1 12 12 1750 40 26 8005 5 8005 US 101 FREEWAY 2289 2 12 10 2250 65 8 8046 46 8046 US 101 FREEWAY 6986 3 12 8 2250 70 35 8074 74 8074 SH 1 COLLECTOR 2347 1 12 10 1700 60 1 8110 110 8110 SH 41 COLLECTOR 1299 1 12 4 1700 45 4 8150 150 8150 SH 58 COLLECTOR 1087 1 12 4 1700 50 9 8246 245 8246 SH 1 COLLECTOR 4150 1 12 4 1700 40 34 8142 1049 8142 EL CAMINO REAL COLLECTOR 4606 1 12 4 1700 60 8 8096 1096 8096 SIMAS RD COLLECTOR 3406 1 12 4 1700 45 34 8135 135 8135 OLD CREEK RD COLLECTOR 1931 1 10 4 1700 40 2 8946 946 8946 RT 166 COLLECTOR 3931 1 12 3 1700 65 36 Diablo Canyon Power Plant K85 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

Table K2. Nodes in the LinkNode Analysis Network which are Controlled X Y Coordinate Coordinate Control Grid Map Node (ft) (ft) Type Number 49 5766699 2301523 Actuated 17 50 5765714 2303980 Actuated 17 53 5757310 2313464 Actuated 11 56 5746107 2317972 Actuated 11 57 5743595 2318867 Actuated 11 60 5724821 2329774 Stop 10 64 5708161 2344652 Stop 5 66 5703320 2354697 TCP Actuated 5 67 5702237 2356465 Stop 5 77 5710418 2336768 Stop 10 78 5710774 2336851 TCP Actuated 10 79 5712206 2338036 Stop 10 109 5765203 2365344 Actuated 4 110 5766773 2367609 Actuated 4 140 5785453 2339561 TCP Uncontrolled 8 155 5712252 2312233 Actuated 10 157 5715591 2311823 Actuated 10 158 5716616 2311565 Actuated 10 159 5718924 2311104 Actuated 15 160 5719611 2313372 Stop 10 162 5719742 2318299 TCP Actuated 10 166 5718521 2327469 Stop 10 172 5712171 2331605 Stop 10 173 5711855 2334105 TCP Uncontrolled 10 174 5715101 2331849 TCP Actuated 10 175 5711832 2334576 Stop 10 176 5715546 2332113 TCP Uncontrolled 10 184 5752518 2297938 Actuated 16 186 5758534 2290555 Actuated 16 187 5760854 2286514 TCP Actuated 16 188 5761107 2285654 TCP Actuated 16 191 5767112 2300968 Actuated 17 192 5768137 2299489 Actuated 17 193 5766768 2298145 Pretimed 17 194 5770678 2291960 Actuated 19 195 5772707 2287119 TCP Actuated 19 196 5776118 2281592 Actuated 23 197 5777701 2278155 Actuated 23 199 5780371 2274800 TCP Uncontrolled 23 203 5784226 2268117 TCP Uncontrolled 23 216 5793101 2245287 TCP Actuated 30 217 5793415 2244788 TCP Actuated 30 219 5793424 2242490 Stop 30 221 5791409 2241548 Actuated 30 222 5789910 2240855 Actuated 30 Diablo Canyon Power Plant K86 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

X Y Coordinate Coordinate Control Grid Map Node (ft) (ft) Type Number 223 5776453 2240975 Actuated 29 224 5784168 2240331 Actuated 29 225 5786841 2239576 Actuated 29 226 5788835 2240387 Actuated 29 227 5789473 2238641 Actuated 30 229 5789500 2232058 TCP Actuated 30 234 5787909 2225740 Actuated 31 239 5792770 2213213 Stop 32 244 5791563 2186341 Stop 34 297 5738540 2261455 Stop 22 310 5763198 2293309 TCP Actuated 19 311 5764206 2294179 TCP Actuated 19 312 5764699 2294578 Actuated 19 313 5768866 2294994 TCP Actuated 19 316 5806385 2213049 Stop 32 319 5813178 2208352 Stop 32 321 5814847 2206916 Actuated 32 322 5817835 2208880 TCP Actuated 33 326 5778027 2287708 Stop 20 327 5774997 2291868 Stop 19 328 5774248 2294385 Actuated 19 330 5771933 2296577 Actuated 19 331 5771186 2297719 Actuated 19 332 5770763 2298331 Actuated 17 335 5769173 2299835 Actuated 17 347 5805664 2258583 TCP Actuated 24 352 5800338 2246831 Stop 30 360 5697093 2363525 TCP Uncontrolled 5 361 5697294 2363989 TCP Uncontrolled 5 362 5709356 2341824 TCP Actuated 6 363 5710724 2342164 Stop 6 364 5707234 2345803 TCP Actuated 5 365 5706928 2345553 Stop 5 368 5712140 2333554 Actuated 10 382 5753532 2299815 Stop 16 385 5764062 2305488 TCP Actuated 17 388 5766970 2304235 Actuated 17 390 5768757 2302059 TCP Uncontrolled 17 391 5768037 2302626 TCP Uncontrolled 17 392 5769571 2300943 Actuated 17 393 5770196 2300368 Stop 17 394 5770496 2301842 Actuated 17 396 5771371 2302743 TCP Uncontrolled 17 398 5770050 2303266 Stop 17 399 5762643 2285144 Actuated 19 400 5763573 2286816 Actuated 19 401 5764967 2289657 Actuated 19 Diablo Canyon Power Plant K87 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

X Y Coordinate Coordinate Control Grid Map Node (ft) (ft) Type Number 406 5782503 2269548 TCP Uncontrolled 23 409 5771148 2250041 TCP Actuated 26 415 5772411 2247679 Actuated 26 416 5773399 2245926 Actuated 26 419 5777244 2235692 TCP Actuated 29 420 5775423 2241055 Actuated 28 421 5791325 2239825 Actuated 30 423 5789426 2240616 TCP Actuated 30 426 5781574 2240517 Actuated 29 427 5781401 2238356 Stop 29 428 5782106 2236791 Stop 29 429 5781938 2232236 Stop 29 432 5782464 2244031 Actuated 29 437 5787880 2250337 Stop 27 447 5789704 2233873 TCP Uncontrolled 30 452 5795319 2229913 Stop 32 461 5812055 2200987 Stop 34 462 5776633 2243051 Stop 29 464 5777913 2240855 Actuated 29 465 5778294 2240835 Actuated 29 466 5778687 2240806 Actuated 29 467 5779016 2240785 Actuated 29 468 5779781 2240702 Actuated 29 469 5780869 2240581 Actuated 29 470 5782379 2240468 Actuated 29 471 5786884 2241188 TCP Actuated 29 472 5786762 2237393 Actuated 29 491 5784046 2236732 Stop 29 493 5786558 2232158 TCP Actuated 29 498 5700599 2359690 Stop 5 505 5720042 2330584 TCP Uncontrolled 10 507 5720277 2316902 Actuated 10 510 5767972 2299726 Actuated 17 511 5716650 2312926 Stop 10 513 5751494 2314153 Actuated 11 517 5765983 2302812 Actuated 17 522 5766718 2300711 TCP Actuated 17 523 5767511 2301249 Stop 17 528 5768307 2299230 Actuated 17 529 5767260 2298486 Pretimed 17 530 5767619 2298732 Pretimed 17 531 5767923 2298928 Actuated 17 533 5767736 2299184 Pretimed 17 534 5767438 2299009 Pretimed 17 535 5767085 2298765 Pretimed 17 536 5766596 2298427 Pretimed 17 537 5766405 2298729 Stop 17 Diablo Canyon Power Plant K88 KLD Engineering, P.C.

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X Y Coordinate Coordinate Control Grid Map Node (ft) (ft) Type Number 539 5765816 2299894 TCP Uncontrolled 17 540 5765531 2300267 TCP Uncontrolled 17 541 5765035 2296895 Actuated 19 543 5766213 2298183 Actuated 17 544 5766411 2297868 Pretimed 19 550 5765738 2300712 Stop 17 551 5765428 2300517 Stop 17 552 5769966 2300441 Stop 17 553 5764255 2296797 TCP Uncontrolled 19 556 5764752 2295076 Actuated 19 560 5766939 2299012 Pretimed 17 561 5767279 2299239 Pretimed 17 562 5767567 2299465 Actuated 17 563 5768794 2300341 Actuated 17 564 5766300 2299951 Stop 17 565 5765934 2299726 Stop 17 567 5768595 2295493 Stop 19 568 5768664 2296470 Stop 19 569 5772677 2291911 Actuated 19 573 5763480 2290418 TCP Actuated 19 574 5760794 2286667 Actuated 16 576 5759329 2289218 Actuated 16 579 5758035 2291235 Actuated 16 581 5756858 2292506 Actuated 16 584 5755854 2293531 Actuated 16 586 5758471 2281178 TCP Uncontrolled 22 588 5757516 2278271 Stop 22 595 5755096 2268579 TCP Uncontrolled 22 596 5755686 2268547 TCP Uncontrolled 22 597 5756620 2268310 Stop 22 602 5786085 2276717 Stop 23 604 5754809 2262655 Stop 22 608 5758507 2256641 Stop 25 609 5758593 2256732 TCP Uncontrolled 25 613 5763093 2254285 Stop 26 614 5765407 2253133 TCP Uncontrolled 26 618 5768766 2251247 Actuated 26 620 5771534 2248860 Stop 26 621 5772200 2249445 Stop 26 623 5772815 2248033 Actuated 26 626 5772134 2247921 Actuated 26 628 5777789 2245990 Actuated 27 630 5775594 2246557 Actuated 26 633 5778068 2246557 Stop 27 639 5782867 2245235 Actuated 27 646 5792026 2243602 Stop 30 648 5791112 2241935 Stop 30 Diablo Canyon Power Plant K89 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

X Y Coordinate Coordinate Control Grid Map Node (ft) (ft) Type Number 649 5793234 2245130 Stop 30 650 5781734 2242676 Stop 29 651 5776548 2238474 Stop 29 653 5779417 2237282 Stop 29 656 5779405 2233402 Stop 29 658 5782013 2235313 Stop 29 659 5781942 2233305 Stop 29 660 5783959 2233301 Stop 29 662 5784111 2237505 Stop 29 663 5785849 2239676 Actuated 29 667 5786537 2241632 Actuated 29 668 5786621 2241748 Actuated 29 671 5789703 2240787 Stop 30 683 5784456 2247962 Stop 27 700 5764873 2304009 Actuated 17 702 5786783 2232134 TCP Uncontrolled 29 704 5791090 2223186 Stop 32 712 5808407 2221941 TCP Uncontrolled 32 715 5818225 2209120 TCP Actuated 33 719 5820656 2211158 Actuated 33 726 5832798 2193914 Stop 35 732 5812166 2208481 Stop 32 734 5814818 2199568 Stop 34 735 5816615 2203547 Actuated 35 743 5814511 2206179 Actuated 32 747 5832275 2193835 Stop 35 748 5791850 2192951 TCP Actuated 34 749 5714494 2331558 Stop 10 750 5712161 2331974 Stop 10 752 5714666 2331187 Stop 10 755 5714122 2331577 Stop 10 759 5711582 2339110 Stop 6 760 5711788 2338319 Stop 6 761 5788519 2254356 Stop 27 769 5769205 2301496 Actuated 17 775 5762651 2304105 TCP Actuated 17 777 5761087 2304124 Actuated 16 781 5763022 2285807 Actuated 19 785 5764351 2288364 Actuated 19 788 5764910 2295946 Actuated 19 791 5764831 2296825 TCP Uncontrolled 19 798 5767729 2300076 Actuated 17 799 5767524 2300367 Actuated 17 802 5766516 2301845 Stop 17 806 5766964 2297864 Actuated 19 808 5767156 2297574 Actuated 19 810 5767360 2297288 Actuated 19 Diablo Canyon Power Plant K90 KLD Engineering, P.C.

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X Y Coordinate Coordinate Control Grid Map Node (ft) (ft) Type Number 811 5768998 2296730 Actuated 19 813 5768079 2298673 Actuated 17 814 5768289 2298368 Actuated 17 815 5768511 2298068 Actuated 17 820 5766706 2299368 Actuated 17 829 5710947 2336869 Stop 10 831 5709523 2341828 Stop 6 832 5709845 2340525 Stop 6 833 5710359 2338577 Stop 6 836 5707363 2345866 Stop 5 839 5704576 2351949 TCP Actuated 5 841 5702414 2356447 Stop 5 846 5703439 2354786 Stop 5 847 5703893 2355248 Stop 5 850 5703648 2354464 Stop 5 852 5703243 2354635 Stop 5 857 5704678 2352052 Stop 5 861 5711159 2335491 TCP Uncontrolled 10 863 5714798 2331665 Yield 10 868 5718097 2326990 Stop 10 871 5711016 2332665 Stop 10 872 5712164 2332669 Stop 10 874 5713524 2331227 Stop 10 875 5715681 2329144 Stop 10 877 5715978 2331552 Stop 10 891 5716940 2311542 Actuated 10 892 5716953 2312946 Stop 10 893 5764503 2303972 Actuated 17 897 5760527 2291484 Actuated 16 900 5761729 2292153 Actuated 16 901 5762241 2292564 Actuated 16 902 5765120 2290507 Actuated 19 904 5749429 2265748 Actuated 22 905 5744316 2263201 TCP Actuated 22 908 5750573 2267979 Stop 22 911 5817810 2214303 Stop 33 914 5817473 2208571 Actuated 33 916 5818522 2209397 Actuated 33 923 5774041 2284556 Actuated 23 926 5771877 2249149 Stop 26 927 5772558 2248294 Actuated 26 931 5786313 2241461 TCP Actuated 29 934 5782348 2243633 Actuated 29 935 5785632 2242239 Actuated 29 937 5784951 2242658 Stop 29 951 5715089 2315033 Stop 10 955 5717442 2316976 Stop 10 Diablo Canyon Power Plant K91 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

X Y Coordinate Coordinate Control Grid Map Node (ft) (ft) Type Number 956 5717442 2318317 Stop 10 957 5715142 2317031 Stop 10 958 5717453 2316260 Stop 10 973 5726231 2308494 Stop 15 975 5747268 2274804 Stop 22 986 5756332 2293042 Stop 16 991 5754768 2263538 Stop 22 994 5754918 2268571 Stop 22 1000 5713640 2312163 Stop 10 1006 5791616 2239361 Stop 30 1007 5793886 2240739 Stop 30 1010 5797097 2240582 Stop 30 1013 5781962 2234420 Stop 29 1014 5779449 2234447 Stop 29 1017 5768433 2251987 Stop 26 1021 5773175 2248366 Stop 26 1042 5717333 2313604 Stop 10 1045 5712729 2314320 Stop 10 1049 5777184 2359724 Actuated 8 1055 5712042 2334605 Stop 10 1067 5748525 2316124 Stop 11 1078 5709005 2341786 Stop 5 1088 5776861 2335542 Stop 12 1090 5774380 2331598 Stop 12 1097 5772991 2247814 Stop 26 1098 5772595 2247421 Stop 26 1

Coordinates are in the North American Datum of 1983 California V Plane Zone Diablo Canyon Power Plant K92 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

APPENDIX L PAZ Boundaries

L. PAZ BOUNDARIES PAZ 1 Zone Area Name/Designation: 2Mile Radius from Plant Zone Description/PAZ Includes: Identified residences, isolated hill areas within a twomile radius from the plant.

PAZ 2 Zone Area Name/Designation: 6Mile Radius from Plant Zone Description/PAZ Includes: Identified residences, plant access road, upper segments of See Canyon and Prefumo Canyon Road, Montana de Oro State Park, isolated hill areas extending out to a sixmile radius from the plant.

PAZ 3 Zone Area Name/Designation: Avila/ San Luis Bay/ See Canyon/ Sunset Palisades/ Shell Beach/ Squire Canyon Zone Description/PAZ Includes: Avila Beach, Port San Luis, Pirates Cove, San Luis Bay Estates, Avila Road and San Luis Bay Drive, See Canyon Road outside the 6mile limit, Squire and Gragg Canyons, Sunset Palisades/Shell Beach north of Spyglass Drive extending east and south to about 9 or 10 miles from the plant.

PAZ 4 Zone Area Name/Designation: Prefumo Canyon/Los Osos Valley Zone Description/PAZ Includes: Prefumo Canyon Road outside the 6mile limit, Los Osos Valley Road between Turri Road and Foothill Boulevard extending out to approximately 10 miles from the plant.

PAZ 5 Zone Area Name/Designation: Baywood/Los Osos Zone Description/PAZ Includes: Baywood Park, Los Osos, Turri Road, Los Osos Valley Road west of Turri Road, Clark Valley extending to the north approximately 10 miles from the plant.

PAZ 6 Zone Area Name/Designation: City of Pismo Beach Zone Description/PAZ Includes: City of Pismo Beach, Shell Beach south of Spyglass Drive (including adjacent beaches). This area is more than 10 miles from the plant.

PAZ 7 Zone Area Name/Designation: Indian Knob/Price Canyon Zone Description/PAZ Includes: Price Canyon Road and isolated hill areas north of Pismo Beach. This area is more than 10 miles from the plant.

Diablo Canyon Power Plant L1 KLD Engineering, P.C.

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PAZ 8 Zone Area Name/Designation: San Luis Obispo Area Zone Description/PAZ Includes: City of San Luis Obispo, California Polytechnic State University, California Mens Colony, Camp San Luis Obispo, Cuesta College, OConnor Way, Orcutt Road north of East Corral de Piedra Creek, Edna, Country Club, Crestmont Drive and Davenport Creek area. This area is more than 10 miles from the plant.

PAZ 9 Zone Area Name/Designation: Morro Bay/Cayucos Zone Description/PAZ Includes: Route 1 west of Cuesta College, Morro Bay, Cayucos, and Whale Rock Reservoir area. This area is more than 10 miles from the plant.

PAZ 10 Zone Area Name/Designation: Five Cities (Southern Portion)

Zone Description/PAZ Includes: City of Arroyo Grande, City of Grover Beach, Oceano, Halcyon and Pismo State Beach. This area is more than 10 miles from the plant.

PAZ 11 Zone Area Name/Designation: Orcutt Road/Lopez Drive/ Route 227 Zone Description/PAZ Includes: Canyon area north of Five Cities (bounded by Price Canyon, Orcutt Road, Huasna Creek and northern limits of Arroyo Grande and Pismo Beach). This area is more than 10 miles from the plant.

PAZ 12 Zone Area Name/Designation: Nipomo, North of Willow Road Zone Description/PAZ Includes: Nipomo Mesa north of Willow Road, Cienega Valley, Oceano Dunes State Vehicle Recreation Area. This area is more than 10 miles from the plant.

Diablo Canyon Power Plant L2 KLD Engineering, P.C.

Evacuation Time Estimate Rev. 1

APPENDIX M Evacuation Sensitivity Studies

M. EVACUATION SENSITIVITY STUDIES This appendix presents the results of a series of sensitivity analyses. These analyses are designed to identify the sensitivity of the ETE to changes in some base evacuation conditions.

M.1 Effect of Changes in Trip Generation Times A sensitivity study was performed to determine whether changes in the estimated trip generation time have an effect on the ETE for the entire EPZ. Specifically, if the tail of the mobilization distribution were truncated (i.e., if those who responded most slowly to the Evacuation Order, could be persuaded to respond much more rapidly), how would the ETE be affected? The case considered was Scenario 1, Region 4; a summer, midweek, midday, good weather evacuation of the entire EPZ. Table M1 presents the results of this study.

Table M1. Evacuation Time Estimates for Trip Generation Sensitivity Study Trip Evacuation Time Estimate for Entire EPZ Generation Period 90th Percentile 100th Percentile 2 Hours 30 Minutes 8:10 10:00 3 Hours 30 Minutes 8:15 10:00 4 Hours 30 Minutes (Base) 8:20 10:15 As discussed in Section 7.3, traffic congestion persists within the EPZ for about 8 hours9.259259e-5 days <br />0.00222 hours <br />1.322751e-5 weeks <br />3.044e-6 months <br />. As such, the ETE at the 90th and 100th percentile are mostly affected by traffic congestion. Shortening the trip generation time by one hour and two hours reduces the 100th percentile ETE by 15 minutes. The 90th percentile ETE is also sensitive to truncating the tail of the mobilization time distribution; shortening the tail of the trip generation by one hour and two hours reduces the 90th percentile ETE by 5 minutes and 10 minutes, respectively.

Diablo Canyon Power Plant M1 KLD Engineering, P.C.

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M.2 Effect of Changes in the Number of People in the Shadow Region Who Relocate A sensitivity study was conducted to determine the effect on ETE of changes in the percentage of people who decide to relocate from the Shadow Region. The case considered was Scenario 1, Region 4; a summer, midweek, midday, good weather evacuation for the entire EPZ. The movement of people in the Shadow Region has the potential to impede vehicles evacuating from an Evacuation Region within the EPZ. Refer to Sections 3.2 and 7.1 for additional information on population within the shadow region.

Table M2 presents the evacuation time estimates for each of the cases considered. The results show that the ETE is not impacted by shadow evacuation from 0% to 20%. Tripling the shadow percentage increases the ETE by 15 minutes and 40 minutes for the 90th and 100th percentiles, respectively - a significant change for the 100th percentile. Note, the telephone survey results presented in Appendix F indicate that 19% of households would elect to evacuate if advised to shelter. Thus, the base assumption of 20% noncompliance suggested in NUREG/CR7002 is valid.

Table M2. Evacuation Time Estimates for Shadow Sensitivity Study Evacuating Evacuation Time Estimate for Entire EPZ Percent Shadow Shadow Evacuation Vehicles 90th Percentile 100th Percentile 0 0 8:20 10:15 15 2,406 8:20 10:15 20 (Base) 3,208 8:20 10:15 60 9,624 8:35 10:55 Diablo Canyon Power Plant M2 KLD Engineering, P.C.

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M.3 Effect of Changes in EPZ Resident Population A sensitivity study was conducted to determine the effect on ETE of changes in the resident population within the study areas (EPZ plus Shadow Region). As population in the EPZ changes over time, the time required to evacuate the public may increase, decrease, or remain the same. Since the ETE is related to the demand to capacity ratio present within the EPZ, changes in population will cause the demand side of the equation to change. The sensitivity study was conducted using the following planning assumptions:

1. The percent population change was increased by 5%. Changes in population were applied to permanent residents only (as per federal guidance), in both the EPZ area and the Shadow Region.

2. The transportation infrastructure remained fixed; the presence of new roads or highway capacity improvements were not considered.

3. The study was performed for the 2Mile Region (R01), the 5Mile Region (R02), the 10 Mile Region (R03), and the entire EPZ (R04).

4. The good weather scenario which yielded the highest ETE values was selected as the case to be considered in this sensitivity study (Scenario 1).

Table M3 presents the results of the sensitivity study.Section IV of Appendix E to 10 CFR Part 50, and NUREG/CR7002, Section 5.4, require licensees to provide an updated ETE analysis to the NRC when a population increase within the EPZ causes ETE values (for the 2Mile Region, 5 Mile Region or entire EPZ) to increase by 25 percent or 30 minutes, whichever is less. Note that all of the base ETE values except the 2 mile region, which has no population, and the 90th percentile for the 6 mile region, are greater than 2 hours2.314815e-5 days <br />5.555556e-4 hours <br />3.306878e-6 weeks <br />7.61e-7 months <br />; 25 percent of the base ETE is always greater than 30 minutes. Therefore, 30 minutes is the lesser and is the criterion for updating at the 100th percentile. Twenty five percent of the 90th percentile ETE for the 2mile region (1:00) is 15 minutes, and for the 6mile region (1:10) is 18 minutes; both are less than 30 minutes.

Those percent population changes which result in ETE changes greater than 30 minutes, or 18 minutes for the 6mile region or 15 minutes for the 2mile region, are highlighted in red below

- population increases of 4%, or more would require an ETE update. PG&E will have to estimate the EPZ population on an annual basis to see if it has increased by at least 4%.

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Table M3. ETE Variation with Population Change Population Change Resident & Base 3% 4% 5%

Shadow Population 170,834 175,959 177,667 179,376 ETE for 90th Percentile Population Change Region Base 3% 4% 5%

2-MILE 1:00 1:00 1:00 1:00 6-MILE 1:10 1:10 1:10 1:10 FEMA EPZ 2:45 2:50 2:50 2:55 FULL EPZ 8:20 8:30 8:30 8:35 ETE for 100th Percentile Population Change Region Base 3% 4% 5%

2-MILE 2:00 2:00 2:00 2:00 6-MILE 4:35 4:35 4:35 4:35 FEMA EPZ 4:40 4:40 4:40 4:40 FULL EPZ 10:15 10:35 10:45 10:45 Diablo Canyon Power Plant M4 KLD Engineering, P.C.

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APPENDIX N Additional Tables

N. ADDITIONAL TABLES The following tables list population information, as of January 2012, for employment and transient facilities that are located within the DCPP EPZ. Table N1 and Table N2 summarize transients and transient vehicles by Scenario and PAZ, respectively. Table N3 and Table N4 summarize employees and employee vehicles by Scenario and PAZ, respectively. Table N5 and Table N6 summarize the transient population and vehicles, respectively, for each Scenario by each facility within the EPZ. Table N7 through Table N9 break down the transient population by type of facility within each PAZ.

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Table N1. Transient Population by Scenario and PAZ Scenario Summer Midweek, Summer Summer Winter Weekend Midweek Summer Summer Summer Summer Midweek, Winter Winter Winter Winter Midweek, Evening Midday Midweek Midweek Weekend Weekend Weekend Midweek Midweek Weekend Weekend Weekend Good, Good, Midday Midday Midday Midday Evening Midday Midday Midday Midday Evening Special Roadway Good Rain Good Rain Good Good Rain Good Rain Good Event Impact PAZ Description 1 2 3 4 5 6 7 8 9 10 11 12 1 2-Mile - - - - - - - - - - - -

2 6-Mile 266 266 333 333 190 167 167 216 216 123 167 266 Avila/San Luis/See Canyon/Squire 3 Canyon 2,624 2,624 3,280 3,280 1,870 1,640 1,640 2,132 2,132 1,214 1,640 2,624 Perfumo Canyon/Los Osos 4 Valley - - - - - - - - - - - -

5 Baywood/Los Osos 390 390 488 488 278 244 244 317 317 181 244 390 City of Pismo 6 Beach 4,618 4,618 5,773 5,773 3,291 2,887 2,887 3,752 3,752 2,136 2,887 4,618 Indian Knob/Price 7 Canyon - - - - - - - - - - - -

San Luis Obispo 8 Area 6,501 6,501 8,126 8,126 4,632 4,063 4,063 5,282 5,282 3,007 4,063 6,501 9 Morro Bay/Cayucos 4,403 4,403 5,504 5,504 3,137 2,752 2,752 3,578 3,578 2,036 2,752 4,403 Five Cities, 10 Southern Portion 5,778 5,778 7,223 7,223 4,117 3,612 3,612 4,695 4,695 2,673 3,612 5,778 Orcutt Road/Lopez 11 Drive/Route 227 33 33 41 41 23 21 21 27 27 15 21 33 Nipomo North of 12 Willow Rd 134 134 167 167 95 84 84 109 109 62 84 134 BEPZ Base EPZ 24,748 24,748 30,935 30,935 17,633 15,468 15,468 20,108 20,108 11,446 15,468 24,748 Diablo Canyon Power Plant N2 KLD Engineering, P.C.

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Table N2. Transient Vehicles by Scenario and PAZ Scenario Summer Midweek, Summer Summer Winter Weekend Midweek Summer Summer Summer Summer Midweek, Winter Winter Winter Winter Midweek, Evening Midday Midweek Midweek Weekend Weekend Weekend Midweek Midweek Weekend Weekend Weekend Good, Good, Midday Midday Midday Midday Evening Midday Midday Midday Midday Evening Special Roadway Good Rain Good Rain Good Good Rain Good Rain Good Event Impact PAZ Description 1 2 3 4 5 6 7 8 9 10 11 12 1 2-Mile - - - - - - - - - - - -

2 6-Mile 161 161 201 201 115 101 101 131 131 74 101 161 Avila/San Luis/See Canyon/Squire 3 Canyon 1,130 1,130 1,413 1,413 805 707 707 918 918 523 707 1,130 Perfumo Canyon/Los 4 Osos Valley - - - - - - - - - - - -

5 Baywood/Los Osos 142 142 177 177 101 89 89 115 115 65 89 142 6 City of Pismo Beach 1,966 1,966 2,457 2,457 1,400 1,229 1,229 1,597 1,597 909 1,229 1,966 Indian Knob/Price 7 Canyon - - - - - - - - - - - -

San Luis Obispo 8 Area 2,800 2,800 3,500 3,500 1,995 1,750 1,750 2,275 2,275 1,295 1,750 2,800 9 Morro Bay/Cayucos 1,982 1,982 2,477 2,477 1,412 1,239 1,239 1,610 1,610 916 1,239 1,982 Five Cities, Southern 10 Portion 3,685 3,685 4,606 4,606 2,625 2,303 2,303 2,994 2,994 1,704 2,303 3,685 Orcutt Road/Lopez 11 Drive/Route 227 14 14 17 17 10 9 9 11 11 6 9 14 Nipomo North of 12 Willow Rd 58 58 73 73 42 37 37 47 47 27 37 58 BEPZ Base EPZ 11,937 11,937 14,921 14,921 8,505 7,461 7,461 9,699 9,699 5,521 7,461 11,937 Diablo Canyon Power Plant N3 KLD Engineering, P.C.

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Table N3. Employees by Scenario and PAZ Scenario Summer Midweek, Summer Summer Winter Weekend Midweek Summer Summer Summer Summer Midweek, Winter Winter Winter Winter Midweek, Evening Midday Midweek Midweek Weekend Weekend Weekend Midweek Midweek Weekend Weekend Weekend Good, Good, Midday Midday Midday Midday Evening Midday Midday Midday Midday Evening Special Roadway Good Rain Good Rain Good Good Rain Good Rain Good Event Impact PAZ Description 1 2 3 4 5 6 7 8 9 10 11 12 1 2-Mile 503 503 52 52 52 524 524 52 52 52 52 503 2 6-Mile - - - - - - - - - - - -

Avila/San Luis/See Canyon/Squire 3 Canyon 84 84 9 9 9 87 87 9 9 9 9 84 Perfumo Canyon/Los 4 Osos Valley 17 17 2 2 2 18 18 2 2 2 2 17 Baywood/Los 5 Osos 356 356 37 37 37 371 371 37 37 37 37 356 City of Pismo 6 Beach 955 955 100 100 100 995 995 100 100 100 100 955 Indian Knob/Price 7 Canyon - - - - - - - - - - - -

San Luis Obispo 8 Area 11,259 11,259 1,173 1,173 1,173 11,728 11,728 1,173 1,173 1,173 1,173 11,259 Morro 9 Bay/Cayucos 797 797 83 83 83 830 830 83 83 83 83 797 Five Cities, 10 Southern Portion 3,129 3,129 326 326 326 3,259 3,259 326 326 326 326 3,129 Orcutt Road/Lopez 11 Drive/Route 227 98 98 10 10 10 102 102 10 10 10 10 98 Nipomo North of 12 Willow Rd 134 134 14 14 14 140 140 14 14 14 14 134 BEPZ Base EPZ 17,332 17,332 1,805 1,805 1,805 18,054 18,054 1,805 1,805 1,805 1,805 17,332 Diablo Canyon Power Plant N4 KLD Engineering, P.C.

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Table N4. Employee Vehicles by Scenario and PAZ Scenario Summer Midweek, Summer Summer Winter Weekend Midweek Summer Summer Summer Summer Midweek, Winter Winter Winter Winter Midweek, Evening Midday Midweek Midweek Weekend Weekend Weekend Midweek Midweek Weekend Weekend Weekend Good, Good, Midday Midday Midday Midday Evening Midday Midday Midday Midday Evening Special Roadway Good Rain Good Rain Good Good Rain Good Rain Good Event Impact PAZ Description 1 2 3 4 5 6 7 8 9 10 11 12 1 2-Mile 466 466 49 49 49 485 485 49 49 49 49 466 2 6-Mile - - - - - - - - - - - -

Avila/San Luis/See 3 Canyon/Squire Canyon 77 77 8 8 8 80 80 8 8 8 8 77 Perfumo Canyon/Los 4 Osos Valley 16 16 2 2 2 17 17 2 2 2 2 16 5 Baywood/Los Osos 332 332 35 35 35 346 346 35 35 35 35 332 6 City of Pismo Beach 883 883 92 92 92 920 920 92 92 92 92 883 7 Indian Knob/Price Canyon - - - - - - - - - - - -

8 San Luis Obispo Area 10,423 10,423 1,086 1,086 1,086 10,857 10,857 1,086 1,086 1,086 1,086 10,423 9 Morro Bay/Cayucos 738 738 77 77 77 769 769 77 77 77 77 738 Five Cities, Southern 10 Portion 2,896 2,896 302 302 302 3,017 3,017 302 302 302 302 2,896 Orcutt Road/Lopez 11 Drive/Route 227 91 91 10 10 10 95 95 10 10 10 10 91 Nipomo North of Willow 12 Rd 125 125 13 13 13 130 130 13 13 13 13 125 BEPZ Base EPZ 16,047 16,047 1,672 1,672 1,672 16,716 16,716 1,672 1,672 1,672 1,672 16,047 Diablo Canyon Power Plant N5 KLD Engineering, P.C.

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Table N5. Recreational Areas: Transient Population Summary by Scenario Summer Midweek, Summer Summer Winter Weekend Midweek Summer Summer Summer Summer Midweek, Winter Winter Winter Winter Midweek, Evening Midday Midweek Midweek Weekend Weekend Weekend Midweek Midweek Weekend Weekend Weekend Good, Good, Midday Midday Midday Midday Evening Midday Midday Midday Midday Evening Special Roadway Total Good Rain Good Rain Good Good Rain Good Rain Good Event Impact PAZ Facility Name Transients 1 2 3 4 5 6 7 8 9 10 11 12 Montana De Oro Campground 130 104 104 130 130 74 65 65 85 85 48 65 104 2

Montana De Oro State Park 203 162 162 203 203 116 102 102 132 132 75 102 162 Avila Beach 896 717 717 896 896 511 448 448 582 582 332 448 717 Avila Beach Campground 161 129 129 161 161 92 81 81 105 105 60 81 129 3

Avila Beach Golf Resort 100 80 80 100 100 57 50 50 65 65 37 50 80 Avila Park & Plaza 553 442 442 553 553 315 277 277 359 359 205 277 442 Los Osos Community Park 134 107 107 134 134 76 67 67 87 87 50 67 107 Los Osos Oaks State 5

Reserve 4 3 3 4 4 2 2 2 3 3 1 2 3 Sea Pines Golf Course 30 24 24 30 30 17 15 15 20 20 11 15 24 Pismo Coast Village 6 Recreation Vehicle Resort 745 596 596 745 745 425 373 373 484 484 276 373 596 Bob Jones Trail 1,496 1,197 1,197 1,496 1,496 853 748 748 972 972 554 748 1,197 Cuesta Local Park 176 141 141 176 176 100 88 88 114 114 65 88 141 Dairy Creek Golf Course 26 21 21 26 26 15 13 13 17 17 10 13 21 8 El Chorro Regional Park 278 222 222 278 278 158 139 139 181 181 103 139 222 Laguna Lake Municipal Golf Course 64 51 51 64 64 36 32 32 42 42 24 32 51 Diablo Canyon Power Plant N6 KLD Engineering, P.C.

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Summer Midweek, Summer Summer Winter Weekend Midweek Summer Summer Summer Summer Midweek, Winter Winter Winter Winter Midweek, Evening Midday Midweek Midweek Weekend Weekend Weekend Midweek Midweek Weekend Weekend Weekend Good, Good, Midday Midday Midday Midday Evening Midday Midday Midday Midday Evening Special Roadway Total Good Rain Good Rain Good Good Rain Good Rain Good Event Impact PAZ Facility Name Transients 1 2 3 4 5 6 7 8 9 10 11 12 San Luis Obispo Golf and Country Club 76 61 61 76 76 43 38 38 49 49 28 38 61 Cayucos State Beach 559 447 447 559 559 319 280 280 363 363 207 280 447 Del Mar Park 117 94 94 117 117 67 59 59 76 76 43 59 94 Morro Bay Golf Course 534 534 668 668 381 334 334 434 434 247 334 534 Morro Bay State Park 668 (Day Use Park, 9 Marina, &

Campground)

Morro Strand RV Park 162 130 130 162 162 92 81 81 105 105 60 81 130 Morro Strand State Beach 162 130 130 162 162 92 81 81 105 105 60 81 130 Tidelands Park 244 195 195 244 244 139 122 122 159 159 90 122 195 Coastal Dunes RV Park & Campground 225 180 180 225 225 128 113 113 146 146 83 113 180 Le Sage Riviera R.V.

Park 112 90 90 112 112 64 56 56 73 73 41 56 90 Ocean Dunes State Vehicle Recreational Area 4,617 3,694 3,694 4,617 4,617 2,632 2,309 2,309 3,001 3,001 1,708 2,309 3,694 10 Oceano Campground and Park 332 266 266 332 332 189 166 166 216 216 123 166 266 Pismo Beach North Beach Campground 446 357 357 446 446 254 223 223 290 290 165 223 357 Pismo State Beach 324 324 405 405 231 203 203 263 263 150 203 324 Pismo State Beach 405 Golf Course Diablo Canyon Power Plant N7 KLD Engineering, P.C.

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Summer Midweek, Summer Summer Winter Weekend Midweek Summer Summer Summer Summer Midweek, Winter Winter Winter Winter Midweek, Evening Midday Midweek Midweek Weekend Weekend Weekend Midweek Midweek Weekend Weekend Weekend Good, Good, Midday Midday Midday Midday Evening Midday Midday Midday Midday Evening Special Roadway Total Good Rain Good Rain Good Good Rain Good Rain Good Event Impact PAZ Facility Name Transients 1 2 3 4 5 6 7 8 9 10 11 12 Prismo Beach State Park Black Lake Golf 12 Course 167 134 134 167 167 95 84 84 109 109 62 84 134 TOTAL: 13,288 10,630 10,630 13,288 13,288 7,574 6,644 6,644 8,637 8,637 4,917 6,644 10,630 Diablo Canyon Power Plant N8 KLD Engineering, P.C.

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Table N6. Recreational Areas: Transient Vehicles Summary by Scenario Summer Midweek, Summer Summer Winter Weekend Midweek Summer Summer Summer Summer Midweek, Winter Winter Winter Winter Midweek, Evening Midday PAZ Midweek Midweek Weekend Weekend Weekend Midweek Midweek Weekend Weekend Weekend Good, Good, Midday Midday Midday Midday Evening Midday Midday Midday Midday Evening Special Roadway Total Good Rain Good Rain Good Good Rain Good Rain Good Event Impact Facility Name Transients 1 2 3 4 5 6 7 8 9 10 11 12 Montana De Oro Campground 113 90 90 113 113 64 57 57 73 73 42 57 90 2

Montana De Oro State Park 88 70 70 88 88 50 44 44 57 57 33 44 70 Avila Beach 389 311 311 389 389 222 195 195 253 253 144 195 311 Avila Beach Campground 140 112 112 140 140 80 70 70 91 91 52 70 112 3

Avila Beach Golf Resort 50 40 40 50 50 29 25 25 33 33 19 25 40 Avila Park & Plaza 241 193 193 241 241 137 121 121 157 157 89 121 193 Los Osos Community Park 58 46 46 58 58 33 29 29 38 38 21 29 46 Los Osos Oaks 5

State Reserve 2 2 2 2 2 1 1 1 1 1 1 1 2 Sea Pines Golf Course 12 10 10 12 12 7 6 6 8 8 4 6 10 Pismo Coast 6 Village Recreation Vehicle Resort 648 518 518 648 648 369 324 324 421 421 240 324 518 Bob Jones Trail 650 520 520 650 650 371 325 325 423 423 241 325 520 Cuesta Local Park 76 61 61 76 76 43 38 38 49 49 28 38 61 Dairy Creek Golf Course 10 8 8 10 10 6 5 5 7 7 4 5 8 8 El Chorro Regional Park 121 97 97 121 121 69 61 61 79 79 45 61 97 Laguna Lake Municipal Golf Course 23 18 18 23 23 13 12 12 15 15 9 12 18 Diablo Canyon Power Plant N9 KLD Engineering, P.C.

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Summer Midweek, Summer Summer Winter Weekend Midweek Summer Summer Summer Summer Midweek, Winter Winter Winter Winter Midweek, Evening Midday PAZ Midweek Midweek Weekend Weekend Weekend Midweek Midweek Weekend Weekend Weekend Good, Good, Midday Midday Midday Midday Evening Midday Midday Midday Midday Evening Special Roadway Total Good Rain Good Rain Good Good Rain Good Rain Good Event Impact Facility Name Transients 1 2 3 4 5 6 7 8 9 10 11 12 San Luis Obispo Golf and Country Club 33 26 26 33 33 19 17 17 21 21 12 17 26 Cayucos State Beach 243 194 194 243 243 139 122 122 158 158 90 122 194 Del Mar Park 51 41 41 51 51 29 26 26 33 33 19 26 41 Morro Bay Golf Course 233 233 291 291 166 146 146 189 189 108 146 233 Morro Bay State 291 Park (Day Use 9

Park, Marina, &

Campground)

Morro Strand RV Park 140 112 112 140 140 80 70 70 91 91 52 70 112 Morro Strand State Beach 70 56 56 70 70 40 35 35 46 46 26 35 56 Tidelands Park 173 138 138 173 173 99 87 87 112 112 64 87 138 Coastal Dunes RV Park &

Campground 196 157 157 196 196 112 98 98 127 127 73 98 157 Le Sage Riviera R.V. Park 98 78 78 98 98 56 49 49 64 64 36 49 78 Ocean Dunes State Vehicle 10 Recreational Area 3,134 2,507 2,507 3,134 3,134 1,786 1,567 1,567 2,037 2,037 1,160 1,567 2,507 Oceano Campground and Park 144 115 115 144 144 82 72 72 94 94 53 72 115 Pismo Beach North Beach Campground 388 310 310 388 388 221 194 194 252 252 144 194 310 Pismo State Beach 176 141 141 176 176 100 88 88 114 114 65 88 141 Diablo Canyon Power Plant N10 KLD Engineering, P.C.

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Summer Midweek, Summer Summer Winter Weekend Midweek Summer Summer Summer Summer Midweek, Winter Winter Winter Winter Midweek, Evening Midday PAZ Midweek Midweek Weekend Weekend Weekend Midweek Midweek Weekend Weekend Weekend Good, Good, Midday Midday Midday Midday Evening Midday Midday Midday Midday Evening Special Roadway Total Good Rain Good Rain Good Good Rain Good Rain Good Event Impact Facility Name Transients 1 2 3 4 5 6 7 8 9 10 11 12 Pismo State Beach Golf Course Prismo Beach State Park Black Lake Golf 12 Course 73 58 58 73 73 42 37 37 47 47 27 37 58 TOTAL: 7,831 6,265 6,265 7,831 7,831 4,464 3,916 3,916 5,090 5,090 2,897 3,916 6,265 Diablo Canyon Power Plant N11 KLD Engineering, P.C.

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Table N7. Transient Population by Scenario and PAZ: Employees and Lodging Facilities Employees Lodging Facilities Summer Winter Summer Winter Summer Summer Midweek, Winter Winter Midweek, Summer Summer Midweek, Winter Winter Midweek, Midweek Weekend Weekend Midweek Weekend Weekend Midweek Weekend Weekend Midweek Weekend Weekend Midday Midday Evening Midday Midday Evening Midday Midday Evening Midday Midday Evening Good Good Good Good Good Good Good Good Good Good Good Good PAZ Description 1 3 5 6 8 10 1 3 5 6 8 10 1 2-Mile 503 52 52 524 52 52 - - - - - -

2 6-Mile - - - - - - - - - - - -

Avila/San Luis/See Canyon/Squire 3 Canyon 84 9 9 87 9 9 769 961 548 481 625 356 Perfumo Canyon/Los 4 Osos Valley 17 2 2 18 2 2 - - - - - -

Baywood/Los 5 Osos 356 37 37 371 37 37 347 434 247 217 282 161 City of Pismo 6 Beach 955 100 100 995 100 100 3,370 4,212 2,401 2,106 2,738 1,558 Indian Knob/Price 7 Canyon - - - - - - 393 491 280 246 319 182 San Luis 8 Obispo Area 11,259 1,173 1,173 11,728 1,173 1,173 4,961 6,201 3,535 3,101 4,031 2,294 Morro 9 Bay/Cayucos 797 83 83 830 83 83 2,874 3,592 2,047 1,796 2,335 1,329 Five Cities, Southern 10 Portion 3,129 326 326 3,259 326 326 1,372 1,715 978 858 1,115 635 Orcutt Road/Lopez Drive/Route 11 227 98 10 10 102 10 10 33 41 23 21 27 15 Nipomo North 12 of Willow Rd 134 14 14 140 14 14 - - - - - -

BEPZ Base EPZ 17,332 1,805 1,805 18,054 1,805 1,805 14,118 17,647 10,059 8,824 11,471 6,529 Diablo Canyon Power Plant N12 KLD Engineering, P.C.

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Table N8. Transient Population by Scenario and PAZ: State Parks and Campgrounds State Parks Campgrounds Summer Winter Summer Winter Summer Summer Midweek, Winter Winter Midweek, Summer Summer Midweek, Winter Winter Midweek, Midweek Weekend Weekend Midweek Weekend Weekend Midweek Weekend Weekend Midweek Weekend Weekend Midday Midday Evening Midday Midday Evening Midday Midday Evening Midday Midday Evening Good Good Good Good Good Good Good Good Good Good Good Good PAZ Description 1 3 5 6 8 10 1 3 5 6 8 10 1 2-Mile - - - - - - - - - - - -

2 6-Mile 162 203 116 102 132 75 104 130 74 65 85 48 Avila/San Luis/See Canyon/Squire 3 Canyon 442 553 315 277 359 205 129 161 92 81 105 60 Perfumo Canyon/Los 4 Osos Valley - - - - - - - - - - - -

Baywood/Los 5 Osos 110 138 79 69 90 51 - - - - - -

City of Pismo 6 Beach - - - - - - 596 745 425 373 484 276 Indian Knob/Price 7 Canyon - - - - - - - - - - - -

San Luis 8 Obispo Area 1,560 1,950 1,112 975 1,268 722 - - - - - -

Morro 9 Bay/Cayucos1 823 1,029 587 515 669 381 130 162 92 81 105 60 Five Cities, Southern 10 Portion2 324 405 231 203 263 150 4,586 5,732 3,267 2,866 3,726 2,121 Orcutt Road/Lopez 11 Drive/Route 227 - - - - - - - - - - - -

Nipomo North 12 of Willow Rd - - - - - - - - - - - -

BEPZ Base EPZ 3,422 4,278 2,438 2,139 2,781 1,583 5,544 6,930 3,950 3,465 4,505 2,564

1. Morro Bay State Park includes the day use park, marina, golf course, and campground.

2. Pismo Beach State Park includes the beach and golf course.

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Table N9. Transient Population by Scenario and PAZ: Local Beaches and Golf Courses Local Beaches Golf Courses Summer Winter Summer Winter Summer Summer Midweek, Winter Winter Midweek, Summer Summer Midweek, Winter Winter Midweek, Midweek Weekend Weekend Midweek Weekend Weekend Midweek Weekend Weekend Midweek Weekend Weekend Midday Midday Evening Midday Midday Evening Midday Midday Evening Midday Midday Evening Good Good Good Good Good Good Good Good Good Good Good Good PAZ Description 1 3 5 6 8 10 1 3 5 6 8 10 1 2-Mile - - - - - - - - - - - -

2 6-Mile 717 896 511 448 582 332 - - - - - -

Avila/San Luis/See Canyon/Squire 3 Canyon - - - - - - 80 100 57 50 65 37 Perfumo Canyon/Los 4 Osos Valley - - - - - - - - - - - -

Baywood/Los 5 Osos - - - - - - 24 30 17 15 20 11 City of Pismo 6 Beach - - - - - - - - - - - -

Indian Knob/Price 7 Canyon - - - - - - - - - - - -

San Luis 8 Obispo Area - - - - - - 133 166 95 83 108 61 Morro 9 Bay/Cayucos 577 721 411 361 469 267 - - - - - -

Five Cities, Southern 10 Portion - - - - - - - - - - - -

Orcutt Road/Lopez Drive/Route 11 227 - - - - - - - - - - - -

Nipomo North 12 of Willow Rd - - - - - - 134 167 95 84 109 62 BEPZ Base EPZ 1,294 1,617 922 809 1,051 598 370 463 264 232 301 171 Diablo Canyon Power Plant N14 KLD Engineering, P.C.

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APPENDIX O ETE Criteria Checklist

O. ETE CRITERIA CHECKLIST Table O1. ETE Review Criteria Checklist NRC Review Criteria Criterion Addressed Comments in ETE Analysis 1.0 Introduction

a. The emergency planning zone (EPZ) and surrounding area Yes Section 1 should be described.

b. A map should be included that identifies primary features Yes Figure 11 of the site, including major roadways, significant topographical features, boundaries of counties, and population centers within the EPZ.

c. A comparison of the current and previous ETE should be Yes Table 13 provided and includes similar information as identified in Table 11, ETE Comparison, of NUREG/CR7002.

1.1 Approach

a. A discussion of the approach and level of detail obtained Yes Section 1.3 during the field survey of the roadway network should be provided.

b. Sources of demographic data for schools, special facilities, Yes Section 2.1 large employers, and special events should be identified. Section 3, Section 8.2

c. Discussion should be presented on use of traffic control Yes Section 1.3, Section 2.2, Section 9, plans in the analysis. Appendix G

d. Traffic simulation models used for the analyses should be Yes Section 1.3, Table 13, Appendix B, identified by name and version. Appendix C Diablo Canyon Power Plant O1 KLD Engineering, P.C.

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NRC Review Criteria Criterion Addressed Comments in ETE Analysis

e. Methods used to address data uncertainties should be Yes Section 3 - avoid double counting described. Section 5, Appendix F - 4.3% sampling error at 95% confidence interval for telephone survey 1.2 Assumptions

a. The planning basis for the ETE includes the assumption Yes Section 2.3 - Assumption 1 that the evacuation should be ordered promptly and no Section 5.1 early protective actions have been implemented.

b. Assumptions consistent with Table 12, General Yes Sections 2.2, 2.3 Assumptions, of NUREG/CR7002 should be provided and include the basis to support their use.

1.3 Scenario Development

a. The ten scenarios in Table 13, Evacuation Scenarios, Yes Tables 21, 62 should be developed for the ETE analysis, or a reason should be provided for use of other scenarios.

1.3.1 Staged Evacuation

a. A discussion should be provided on the approach used in Yes Sections 5.4.2, 7.2, 7.6 development of a staged evacuation.

1.4 Evacuation Planning Areas

a. A map of EPZ with emergency response planning areas Yes Figure 61 (ERPAs) should be included.

b. A table should be provided identifying the ERPAs Yes Table 61, Table 75 considered for each ETE calculation by downwind direction in each sector.

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NRC Review Criteria Criterion Addressed Comments in ETE Analysis

c. A table similar to Table 14, Evacuation Areas for a Staged Yes Table 61, Table 75 Evacuation Keyhole, of NUREG/CR7002 should be provided and includes the complete evacuation of the 2, 5, and 10 mile areas and for the 2 mile area/5 mile keyhole evacuations.

2.0 Demand Estimation

a. Demand estimation should be developed for the four Yes Permanent residents, transients - Section population groups, including permanent residents of the 3, Appendix E EPZ, transients, special facilities, and schools. Employees - Section 3 Special facilities, schools - Section 8, Appendix E 2.1 Permanent Residents and Transient Population

a. The US Census should be the source of the population Yes Section 3.1, 3.3 values, or another credible source should be provided.

b. Population values should be adjusted as necessary for Yes 2010 used as the base year for analysis. No growth to reflect population estimates to the year of the growth of population necessary.

ETE.

c. A sector diagram should be included, similar to Figure 21, Yes Figure 32 Population by Sector, of NUREG/CR7002, showing the population distribution for permanent residents.

2.1.1 Permanent Residents with Vehicles

a. The persons per vehicle value should be between 1 and 2 Yes 1.77 persons per vehicle - Table 13 or justification should be provided for other values.

b. Major employers should be listed. Yes Section 3.4 Diablo Canyon Power Plant O3 KLD Engineering, P.C.

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NRC Review Criteria Criterion Addressed Comments in ETE Analysis 2.1.2 Transient Population

a. A list of facilities which attract transient populations Yes Sections 3.3, Section 3.4, Appendix E should be included, and peak and average attendance for these facilities should be listed. The source of information used to develop attendance values should be provided.

b. The average population during the season should be used, Yes Tables 34, 35 and Appendix E itemize the itemized and totaled for each scenario. transient population and employee estimates. These estimates are multiplied by the scenario specific percentages provided in Table 63 to estimate transient population by scenario.

c. The percent of permanent residents assumed to be at Yes Sections 3.3, 3.4 facilities should be estimated.

d. The number of people per vehicle should be provided. Yes Sections 3.3, 3.4 Numbers may vary by scenario, and if so, discussion on why values vary should be provided.

e. A sector diagram should be included, similar to Figure 21 Yes Figure 36 - transients of NUREG/CR7002, showing the population distribution Figure 38 - employees for the transient population.

2.2 Transit Dependent Permanent Residents

a. The methodology used to determine the number of transit Yes Section 8.1, Table 81 dependent residents should be discussed.

b. Transportation resources needed to evacuate this group Yes Section 8.1, Tables 85, 89 should be quantified.

c. The county/local evacuation plans for transit dependent Yes Sections 8.1, 8.4 residents should be used in the analysis.

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NRC Review Criteria Criterion Addressed Comments in ETE Analysis

d. The methodology used to determine the number of Yes Section 8.5 people with disabilities and those with access and functional needs who may need assistance and do not reside in special facilities should be provided. Data from local/county registration programs should be used in the estimate, but should not be the only set of data.

e. Capacities should be provided for all types of Yes Section 2.3 - Assumption 10 transportation resources. Bus seating capacity of 50% Sections 3.5, 8.1, 8.2, 8.3 should be used or justification should be provided for higher values.

f. An estimate of this population should be provided and Yes Table 81 - transit dependents information should be provided that the existing Section 8.5 - special needs population registration programs were used in developing the estimate.

g. A summary table of the total number of buses, Yes Section 8.4 - page 86 ambulances, or other transport needed to support Table 85, Section 83 evacuation should be provided and the quantification of resources should be detailed enough to assure double counting has not occurred.

2.3 Special Facility Residents

a. A list of special facilities, including the type of facility, Yes Appendix E, Tables E1 (schools), E2 location, and average population should be provided. (medical facilities) - list facilities, type, Special facility staff should be included in the total special location, and population facility population.

b. A discussion should be provided on how special facility Yes Sections 8.2, 8.3, 2.1.3 data was obtained.

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c. The number of wheelchair and bedbound individuals Yes Table 84, Table E2 should be provided.

d. An estimate of the number and capacity of vehicles Yes Section 8.3, 3.5 needed to support the evacuation of the facility should be Tables 84 provided.

e. The logistics for mobilizing specially trained staff (e.g., Yes Section 8.4 medical support or security support for prisons, jails, and other correctional facilities) should be discussed when appropriate.

2.4 Schools

a. A list of schools including name, location, student Yes Table 82, Table E1 population, and transportation resources required to Section 8.2 support the evacuation, should be provided. The source of this information should be provided.

b. Transportation resources for elementary and middle Yes Table 82 schools should be based on 100% of the school capacity.

c. The estimate of high school students who will use their Yes Section 8.2 personal vehicle to evacuate should be provided and a basis for the values used should be discussed.

d. The need for return trips should be identified if necessary. Yes There are insufficient resources to evacuate schools in a single wave. Section 8.3 and Figure 81 discuss the potential for a multiple wave evacuation Diablo Canyon Power Plant O6 KLD Engineering, P.C.

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NRC Review Criteria Criterion Addressed Comments in ETE Analysis 2.5.1 Special Events

a. A complete list of special events should be provided and Yes Section 3.7 includes information on the population, estimated duration, and season of the event.

b. The special event that encompasses the peak transient Yes Section 3.7 population should be analyzed in the ETE.

c. The percent of permanent residents attending the event Yes Section 3.7 should be estimated.

2.5.2 Shadow Evacuation

a. A shadow evacuation of 20 percent should be included for Yes Section 2.2 - Assumption 5 areas outside the evacuation area extending to 15 miles Figure 21, Figure 22 from the NPP.

Section 3.2, 7.1

b. Population estimates for the shadow evacuation in the 10 Yes Section 3.2 to 15 mile area beyond the EPZ are provided by sector. Figure 34 Table 33

c. The loading of the shadow evacuation onto the roadway Yes Section 5 - Table 58, see footnote network should be consistent with the trip generation time generated for the permanent resident population.

2.5.3 Background and Pass Through Traffic Diablo Canyon Power Plant O7 KLD Engineering, P.C.

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a. The volume of background traffic and pass through traffic Yes Section 3.6, 2.3.4 is based on the average daytime traffic. Values may be Table 38 reduced for nighttime scenarios.

Section 6 Table 63

b. Pass through traffic is assumed to have stopped entering Yes Section 2.3 - Assumption 5 (local law the EPZ about two hours after the initial notification. enforcement can man access control points at 30 minutes after initial notification).

Section 3.6 2.6 Summary of Demand Estimation

a. A summary table should be provided that identifies the Yes Tables 39, 310 total populations and total vehicles used in analysis for permanent residents, transients, transit dependent residents, special facilities, schools, shadow population, and passthrough demand used in each scenario.

3.0 Roadway Capacity

a. The method(s) used to assess roadway capacity should be Yes Section 4 discussed.

3.1 Roadway Characteristics

a. A field survey of key routes within the EPZ has been Yes Section 1.3 conducted.

b. Information should be provided describing the extent of Yes Section 1.3 the survey, and types of information gathered and used in the analysis.

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c. A table similar to that in Appendix A, Roadway Yes Appendix K, Table K1 Characteristics, of NUREG/CR7002 should be provided.

d. Calculations for a representative roadway segment should Yes Section 4, Appendix C be provided.

e. A legible map of the roadway system that identifies node Yes Appendix K, Figures K1 through K37 numbers and segments used to develop the ETE should be present the entire linknode analysis provided and should be similar to Figure 31, Roadway network at a scale suitable to identify all Network Identifying Nodes and Segments, of NUREG/CR links and nodes 7002.

3.2 Capacity Analysis

a. The approach used to calculate the roadway capacity for Yes Section 4 the transportation network should be described in detail and identifies factors that should be expressly used in the modeling.

b. The capacity analysis identifies where field information Yes Section 1.3, Section 4.3 should be used in the ETE calculation.

3.3 Intersection Control

a. A list of intersections should be provided that includes the Yes Appendix K, Table K2 total number of intersections modeled that are Section 4.3.4 unsignalized, signalized, or manned by response personnel.

b. Characteristics for the 10 highest volume intersections Yes Table J1 within the EPZ are provided including the location, signal cycle length, and turn lane queue capacity.

c. Discussion should be provided on how signal cycle time is Yes Section 4.1, Appendix C.

used in the calculations.

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NRC Review Criteria Criterion Addressed Comments in ETE Analysis 3.4 Adverse Weather

a. The adverse weather condition should be identified and Yes Table 21, Section 2.3 - Assumption 9 the effects of adverse weather on mobilization time Mobilization time - Table 22, Section 5.3 should be considered. (page 510)

Section 8.4

b. The speed and capacity reduction factors identified in Yes Table 22 - based on HCM 2010. The Table 31, Weather Capacity Factors, of NUREG/CR7002 factors provided in Table 31 of should be used or a basis should be provided for other NUREG/CR7002 are from HCM 2000.

values.

c. The study identifies assumptions for snow removal on N/A Not applicable streets and driveways, when applicable.

4.0 Development of Evacuation Times 4.1 Trip Generation Time

a. The process used to develop trip generation times should Yes Section 5 be identified.

b. When telephone surveys are used, the scope of the Yes Appendix F survey, area of survey, number of participants, and Section 1.1.2 statistical relevance should be provided.

c. Data obtained from telephone surveys should be Yes Appendix F summarized.

d. The trip generation time for each population group should Yes Section 5, Appendix F be developed from site specific information.

4.1.1 Permanent Residents and Transient Population Diablo Canyon Power Plant O10 KLD Engineering, P.C.

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a. Permanent residents are assumed to evacuate from their Yes Section 5 discusses trip generation for homes but are not assumed to be at home at all times. households with and without returning Trip generation time includes the assumption that a commuters. Table 63 presents the percentage of residents will need to return home prior to percentage of households with returning evacuating. commuters and the percentage of households either without returning commuters or with no commuters.

Appendix F presents the percent households who will await the return of commuters.

b. Discussion should be provided on the time and method Yes Section 5.4.3, 2.3.1 used to notify transients. The trip generation time discusses any difficulties notifying persons in hard to reach areas such as on lakes or in campgrounds.

c. The trip generation time accounts for transients Yes Section 5, Figure 51 potentially returning to hotels prior to evacuating.

d. Effect of public transportation resources used during Yes Section 3.7 special events where a large number of transients should be expected should be considered.

e. The trip generation time for the transient population Yes Section 5, Table 58 should be integrated and loaded onto the transportation network with the general public.

4.1.2 Transit Dependent Residents Diablo Canyon Power Plant O11 KLD Engineering, P.C.

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a. If available, existing plans and bus routes should be used Yes Section 8.3 - page 88. Bus routes were in the ETE analysis. If new plans should be developed with determined based upon preestablished the ETE, they have been agreed upon by the responsible pickup points for carless residents - see authorities. Figure 82, Table 86, Table 89.

b. Discussion should be included on the means of evacuating Yes Section 8.3, 8.4 ambulatory and nonambulatory residents.

c. The number, location, and availability of buses, and other Yes Section 8.1, 8.4, Table 85 resources needed to support the demand estimation should be provided.

d. Logistical details, such as the time to obtain buses, brief Yes Section 8.4, Figure 81 drivers, and initiate the bus route should be provided.

e. Discussion should identify the time estimated for transit Yes Section 8.4 dependent residents to prepare and travel to a bus pickup point, and describes the expected means of travel to the pickup point.

f. The number of bus stops and time needed to load Yes Section 8.3 passengers should be discussed.

g. A map of bus routes should be included. Yes Figure 82

h. The trip generation time for nonambulatory persons Yes Section 8.4 includes the time to mobilize ambulances or special vehicles, time to drive to the home of residents, loading time, and time to drive out of the EPZ should be provided.

i. Information should be provided to supports analysis of Yes Sections 8.3, 8.4 return trips, if necessary. Figure 81 Tables 810 through 811 Diablo Canyon Power Plant O12 KLD Engineering, P.C.

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NRC Review Criteria Criterion Addressed Comments in ETE Analysis 4.1.3 Special Facilities

a. Information on evacuation logistics and mobilization times Yes Section 84, Tables 812 through 813 should be provided.

b. Discussion should be provided on the inbound and Yes Sections 8.4 outbound speeds.

c. The number of wheelchair and bedbounds individuals Yes Section 8.4, Tables 84, Table E2 should be provided, and the logistics of evacuating these residents should be discussed.

d. Time for loading of residents should be provided Yes Section 8.4

e. Information should be provided that indicates whether Yes Section 8.4, Table 85 the evacuation can be completed in a single trip or if additional trips should be needed.

f. If return trips should be needed, the destination of Yes Section 8.4 vehicles should be provided.

g. Discussion should be provided on whether special facility Yes Section 8.4 residents are expected to pass through the reception center prior to being evacuated to their final destination.

h. Supporting information should be provided to quantify the Yes Section 8.4 time elements for the return trips.

4.1.4 Schools

a. Information on evacuation logistics and mobilization time Yes Section 8.4 should be provided.

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b. Discussion should be provided on the inbound and Yes School bus routes are presented in Table outbound speeds. 87 (good weather) and Table 88 (rain).

Outbound speeds are defined as the minimum of the evacuation route speed and the State school bus speed limit.

Inbound speeds are limited to the State school bus speed limit (55 mph).

c. Time for loading of students should be provided. Yes Tables 87 through 88, Discussion in Section 8.4

d. Information should be provided that indicates whether Yes Section 8.4 - page 86 the evacuation can be completed in a single trip or if additional trips are needed.

e. If return trips are needed, the destination of school buses Yes Section 8.4 - page 89 should be provided.

f. If used, reception centers should be identified. Discussion Yes Table 83. Students are evacuated to should be provided on whether students are expected to school relocation center where they will be pass through the reception center prior to being picked up by parents or guardians.

evacuated to their final destination.

g. Supporting information should be provided to quantify the Yes Tables 87 and 88 provide time needed to time elements for the return trips. arrive at care center, which could be used to compute a second wave evacuation.

4.2 ETE Modeling Diablo Canyon Power Plant O14 KLD Engineering, P.C.

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a. General information about the model should be provided Yes DYNEV II (Ver. 4.0.4.0). Section 1.3, Table and demonstrates its use in ETE studies. 13, Appendix B, Appendix C.

b. If a traffic simulation model is not used to conduct the ETE N/A Not applicable as a traffic simulation calculation, sufficient detail should be provided to validate model was used.

the analytical approach used. All criteria elements should have been met, as appropriate.

4.2.1 Traffic Simulation Model Input

a. Traffic simulation model assumptions and a representative Yes Appendices B and C describe the set of model inputs should be provided. simulation model assumptions and algorithms Table J2

b. A glossary of terms should be provided for the key Yes Appendix A performance measures and parameters used in the Tables C1, C2 analysis.

4.2.2 Traffic Simulation Model Output

a. A discussion regarding whether the traffic simulation Yes Appendix B model used must be in equilibration prior to calculating the ETE should be provided.

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b. The minimum following model outputs should be provided Yes 1. Table J5.

to support review: 2. Table J3.

1. Total volume and percent by hour at each EPZ exit 3. Table J1.

node. 4. Table J3.

2. Network wide average travel time. 5. Figures J1 through J12 (one plot

3. Longest queue length for the 10 intersections with the for each scenario considered).

highest traffic volume. 6. Table J4. Network wide average

4. Total vehicles exiting the network. speed also provided in Table J3.

5. A plot that provides both the mobilization curve and evacuation curve identifying the cumulative percentage of evacuees who have mobilized and exited the EPZ.

6. Average speed for each major evacuation route that exits the EPZ.

c. Color coded roadway maps should be provided for various Yes Figures 74 through 711 times (i.e., at 2, 4, 6 hrs., etc.) during a full EPZ evacuation scenario, identifying areas where long queues exist including level of service (LOS) E and LOS F conditions, if they occur.

4.3 Evacuation Time Estimates for the General Public

a. The ETE should include the time to evacuate 90% and Yes Tables 71, 72 100% of the total permanent resident and transient population Diablo Canyon Power Plant O16 KLD Engineering, P.C.

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b. The ETE for 100% of the general public should include all Yes Section 5.4 - truncating survey data to members of the general public. Any reductions or eliminate statistical outliers truncated data should be explained. Table 72 - 100th percentile ETE for general public

c. Tables should be provided for the 90 and 100 percent ETEs Yes Tables 73, 74 similar to Table 43, ETEs for Staged Evacuation Keyhole, of NUREG/CR7002.

d. ETEs should be provided for the 100 percent evacuation of Yes Section 8.4 special facilities, transit dependent, and school Schools Tables 87 (good weather) and 8 populations. 8 (rain)

TransitDependent Tables 810 (good weather) and 811 (rain) 5.0 Other Considerations 5.1 Development of Traffic Control Plans

a. Information that responsible authorities have approved Yes Section 9, Appendix G the traffic control plan used in the analysis should be provided.

b. A discussion of adjustments or additions to the traffic Yes Appendix G control plan that affect the ETE should be provided.

5.2 Enhancements in Evacuation Time

a. The results of assessments for improvement of evacuation Yes Appendix M time should be provided.

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b. A statement or discussion regarding presentation of Yes Results of the ETE study were formally enhancements to local authorities should be provided. presented to local authorities at the final project meeting. Recommended enhancements were discussed.

5.3 State and Local Review

a. A list of agencies contacted and the extent of interaction Yes Table 11 with these agencies should be discussed.

b. Information should be provided on any unresolved issues Yes No outstanding issues.

that may affect the ETE.

5.4 Reviews and Updates

a. A discussion of when an updated ETE analysis is required Yes Appendix M, Section M.3 to be performed and submitted to the NRC.

5.5 Reception Centers and Congregate Care Center

a. A map of congregate care centers and reception centers Yes Figure 101, Section 2, 8 should be provided.

b. If return trips are required, assumptions used to estimate Yes Section 8.3 discusses a multiwave return times for buses should be provided. evacuation procedure. Figure 81

c. It should be clearly stated if it is assumed that passengers Yes Section 2.3 - Assumption 7h are left at the reception center and are taken by separate Section 10 buses to the congregate care center.

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Technical Reviewer _______________________________ Date _________________________

Supervisory Review _______________________________ Date _________________________

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