RS-12-214, Dresden Nuclear Power Station, Units 1, 2, and 3, 10 CFR 50 Appendix E Evacuation Time Estimate Analysis for Dresden Nuclear Power Station

Dresden Nuclear Power Station, Units 1, 2, and 3, 10 CFR 50 Appendix E Evacuation Time Estimate Analysis for Dresden Nuclear Power Station

ML12348A384
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Issue date:	12/12/2012
From:	Gullott D M Exelon Generation Co
To:	Office of Nuclear Reactor Regulation, Document Control Desk
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RS-12-214
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1 Exelon Generation RS-12-214 December 12, 2012 U. S. Nuclear Regulatory Commission ATTN: Document Control Desk Washington, DC 20555-0001 Dresden Nuclear Power Station , Units 1, 2, and 3 10 CFR 50.4 10 CFR 50 Appendix E Facility Operating License Nos. DPR-2, (Renewed)

DPR-19 and DPR-25 NRC Docket Nos.50-010. 50-237! 50-249 and 72-37

Subject:

10 CFR 50 Appendix E Evacuation Time Estimate Analysis for Dresden Nuc l ear Power Station In accordance with 10 CFR 50.4, "Written Communications," Exelon Generation Company, L L C (EGC) is submitting the evacuation time estimates (ETE) analysis for Dresden Nuclear Power Station (DNPS). This analysis is being submitted in accordance with the requirements of 10 CFR 50 Appendix E, Section IV, "Content of Emergency Plans," paragraph

4. The attached DNPS ETE analysis was developed using the decennial census data from the U.S. Census Bureau and in accordance with the federal guidance in NUREG/CR-7002 (SAND2010-0016P), "Criteria for Development of Evacuation Time Estimate Studies," published November 2011. There are no commitments in this letter. If you have any questions concerning this letter, please contact Dwi Murray at (630) 657-3695.

Respectfully, David M. Gullott Manager -Licensing Exelon Generation Company, LLC

Attachment:

2012 Dresde n Nuclear Power Station EPZ ETE Analysis cc: Regional Adm i nist r ator -NRC Region III NRC Senior Residen t Inspector

-Dresden Nuclear Power Stat i o n

Attachment 2012 Dresden Nuclear Power Station EPZ ETE Analysis

Imagine the result Prepared for:

Exelon Generation Warrenville, IL Prepared by:

ARCADIS U.S., Inc.

1 Executive Drive Suite 303 Chelmsford

Massachusetts 01824 Tel 978.937.9999 Fax 978.937.7555 Our Ref.: B0033739.0001 Date: December 2012 This document is intended only for the use of the individual or entity for which it was prepared and may contain information that is privileged, confidential and exempt from disclosure under applicable law. Any dissemination, distribution or copying of this document is strictly prohibited.

Evacuation Time Estimates for Dresden Generating Station Plume Exposure Pathway Emergency Planning Zone

E-1 Executive Summary Executive Summary This report documents the Evacuation Time Estimate (ETE) study prepared by ARCADIS for the Dresden Generating Station (DGS) in Grundy County, Illinois, about 12 miles southwest of the city of Joliet. The study reflects the current definition of the Emergency Planning Zone, which is the region within a nominal 10

-mile distance of DGS. The most recent previous study of evacuation time estimates for Dresden Station was performed in 200 3. The present study was performed using population data from the 2010 census.

PTV Vision TM software will be used to perform evacuation modeling for different scenarios. The PTV Vision traffic simulation software package includes VISUM (macroscopic traffic simulation) and VISSIM (microscopic traffic simulation). VISUM is a comprehensive, flexible software system for transportation planning, travel demand modeling, and network data management. VISSIM is capable of performing detailed microscopic simulation of traffic and can model any type of traffic signal control and geometric configuration.

The road network used in the evacuation simulations consists of designated evacuation routes plus any additional roadways needed to accurately simulate conditions during an evacuation. Roadway capacities were determined using NAVTEQ TM digital data, updated by ARCADIS based on actual road and intersection data collected in the field in 2011. Evacuees were generally assumed to proceed out of the Emergency Planning Zone (EPZ) via recommended evacuation routes and to make their way to designated reception centers after leaving the EPZ.

The EPZ for DGS includes parts of three counties in Illinois (Will, Kendall and Grundy

). The resident population of the Dresden EPZ is estimated at 106,100 permanent residents. Based on housing data from the 2010 U.S. Census, there are 846 seasonal housing units in the EPZ, with an estimated 5,076 seasonal (summer) residents. The 2010 U.S. Census data at block level was used to determine population in each EPZ Sub

-Area. The transient population, which includes larger workplaces, recreational facilities, and motels, was estimated at 14,157 persons for a winter weekday and 27,110 persons for a summer week day. The special facilities population, including assisted living, nursing homes and hospitals, was estimated at 1,415 persons for weekday scenarios. The estimated population of schools and day care centers for a winter weekday is 36,247, including students and staff. These population estimates include intrinsic double counting, as some persons in the transient and special facility populations are also included in the permanent and seasonal resident counts. Thus, evacuation times using these population figures are considered conservative.

E-2 Executive Summary Vehicle demand for the resident population was developed based on estimated vehicle occupancy, using data obtained from a telephone survey of EPZ residents. The vehicle occupancy factor estimated from survey responses is 1.93 persons per vehicle, which represents 1.45 vehicles per household. For the 2003 study, vehicle occupancy was 2.70 persons per vehicle (one vehicle per household). Vehicle demand for the transient population was estimated using vehicle occupancy factors ranging from 1.0 person per vehicle for the workforce population up to 3.0 persons per vehicle for some recreational areas. Vehicle demand for the school population was based on bus occupancy of 55 students. For nursing homes, vehicle occupancy is 20 persons per bus or van for residents, and two persons per ambulance for non

-ambulatory patients. For nights and weekends, all facility staff would accompany patients; during weekdays, one vehicle per person was assigned for additional staff. Total vehicle demand for all population categories ranges from 63,401 (winter weeknight) to 78,362 (summer weekday). Vehicle demand was also assigned to account for the potential "shadow evacuation" of the population residing immediately outside the EPZ, to a distance of 15 miles. The permanent resident population within this region is 174,820. It was assumed that 20 percent of the population in this region would evacuate. The occupancy factor for EPZ residents (1.93 persons per vehicle) was applied to estimate vehicle demand for this population. Shadow evacuees residing outside the EPZ add vehicle demand of 18,116 vehicles. Evacuation times were estimated for evacuation of the entire EPZ for winter weekday (daytime and evening), winter weekend day, summer weekday (daytime and evening), and summer weekend cases under fair weather conditions. The weekday daytime cases were

also evaluated for adverse weather conditions (snow and rain, respectively, for winter and summer). "Staged evacuation" scenarios were also evaluated. Under a staged evacuation scenario, only the population within the 2

-mile zones closest to DGS would evacuate initially; evacuation of surrounding zones would be initiated after most traffic from the 2

-mile zones has cleared. The purpose of analyzing staged scenarios is to assess the potential reduction in evacuation times that might be achieved for the population at greatest risk. Simulations were also performed to assess the potential impact of population growth on predicted evacuation times. This sensitivity analysis is used to define a threshold population figure that would trigger another ETE update study. Predicted ETEs for the general population in the Dresden EPZ are summarized by scenario and distance in Table E

-1 (times for 90 percent and 100 percent of vehicles to depart, for 2

-mile zones, all zones to 5 miles, and all zones to 10 miles). The pattern of evacuation times E-3 Executive Summary is consistent with the differences in vehicle demand and travel time for different scenarios. The 2-mile zone involves the shortest travel distance and the fewest vehicles; 90 percent ETEs for the 2

-mile zone range from 2:35 to 4:20, and 100 percent ETEs are 3:30 to 5:30. The times are longest for summer weekday and winter weekday scenarios with adverse weather. For all zones out to 5 miles, the 90 percent ETEs are 4:5 5 to 6:1 5, and the 100 percent ETEs are 6:25 to 7:25. For the full EPZ, the 90 percent ETEs are 4:30 to 6:35, while the 100 percent ETEs are 8:45 to 10:00. All of these times are indicative of significant delays related to traffic congestion. The large difference between 90 percent and 100 percent ETEs reflects the time required for traffic to clear for a few congested evacuation routes. The differences in ETEs are consistent with differences in vehicle demand between scenarios. Adverse weather adds up to 50 minutes for the summer weekday ETEs, and up to 80 minutes for the winter weekday ETEs. Table E-1: Evacuation Time Estimate Summary for Dresden Station EPZ Summer Winter Midweek Daytime Weekend Daytime Evening Midweek Daytime Weekend Daytime Evening Scenario: (1) (2) (3) (4) (5) (6) (7) (8) Weather: Normal Adverse Normal Normal Normal Adverse Normal Normal Evacuation Area 90 Percent Evacuation Time 2-mile Zone 2:55 3:45 2:35 2:35 3:00 4:20 2:35 2:35 5-mile Zone 4:55 5:45 5:25 5:50 4:55 6:15 5:50 5:55 10-mile EPZ 4:35 5:25 4:30 4:45 5:15 6:35 4:45 5:10 100 Percent Evacuation Time 2-mile Zone 4:30 5:10 3:30 3:30 4:30 5:30 3:30 3:30 5-mile Zone 6:30 7:10 6:45 7:05 6:25 7:25 7:05 7:05 10-mile EPZ 9:00 9:40 9:00 8:55 9:00 10:00 8:45 9:00 i Table of Contents

1. Introduction 1-1 1.1 General 1-1 1.2 Site Location and Emergency Planning Zone (EPZ) 1-2 1.3 Designated Reception Centers 1-3 1.4 Overview of Changes from Previous ETE Study 1-4 2. Methodology and Assumptions 2-1 2.1 Sources of Data and General Assumptions 2-1 2.2 Interaction with Agencies 2-4 2.3 Summary of Methodology for Traffic Simulation 2-4 2.4 Conditions Modeled 2-5 2.4.1 Week Day 2-5 2.4.2 Week Night 2-6 2.4.3 Weekend 2-6 2.4.4 Special Event Consideration 2-7 2.4.5 Sensitivity to Population Growth and Roadway Impact 2-7 3. Population and Vehicle Demand Estimation 3-1 3.1 Permanent Residents 3-1 3.1.1 Auto-Owning Permanent Population 3-2 3.1.2 Transport-Dependent Permanent Population 3-2 3.2 Seasonal Residents 3-3 3.3 Transient Population 3-3 3.4 Special Facilities Population 3-4 3.4.1 Medical, Nursing Care and Correctional Facilities 3-5 3.4.2 Schools and Day Care 3-5 3.5 Emergency Response Planning Area Population Totals 3-5 4. Evacuation Roadway Network 4-1 4.1 Network Definition 4-1 ii Table of Contents 4.2 Evacuation Route Descriptions 4-1 4.3 Characterizing the Evacuation Network 4-1 5. Evacuation Time Estimate Methodology 5-1 5.1 Evacuation Analysis Cases 5-1 5.2 Initial Notification 5-3 5.3 Transportation Dependent Population 5-3 5.4 Evacuation Preparation Times and Departure Distributions 5-3 5.4.1 Permanent and Seasonal Population 5-4 5.4.2 Transient Population 5-4 5.4.3 Special Facilities 5-5 5.5 Evacuation Simulation 5-6 5.5.1 General Structure 5-6 5.5.2 Simulation Process 5-7 6. Analysis of Evacuation Times 6-1 6.1 Evacuation Time Estimate Summary 6-1 6.2 Comparison with Previous Study 6-1 6.3 Keyhole Evacuation Scenarios 6-1 6.4 Staged Evacuation Scenarios 6-2 6.5 Sensitivity to Population Growth and Roadway Impact 6-2 6.5.1 Population Growth 6-2 6.5.2 Roadway Impact 6-3 6.6 Performance Metrics for Simulation Model 6-4 6.7 ETE for Transit Dependent Special Facilities and Schools 6-4 7. Traffic Control and Evacuation Confirmation 7-1 7.1 General 7-1 7.1 Evacuation Access Control Locations 7-1 7.2 Traffic Management Locations and Tactics to Facilitate Evacuation 7-1 iii Table of Contents

8. References 8-1 Tables Table E-1: Evacuation Time Estimate Summary for Dresden Station EPZ 3 Table 1-1: Permanent Resident Population in the Dresden Station EPZ 1-7 Table 1-2: Designated Reception Centers for Evacuation 1-8 Table 1-3: ETE Comparison 1-9 Table 3-1: Resident Population and Vehicle Demand by EPZ Subarea 3-7 Table 3-2: Transient Population and Vehicle Demand within the Dresden Station EPZ 3-8 Table 3-3: Population and Vehicle Demand for Schools and Special Facilities in the Dresden Station EPZ 3-9 Table 3-4: Summary of Population and Vehicle Demand within the Dresden Station EPZ 3-10 Table 4-1: Dresden Station EPZ Primary Evacuation Routes Out of EPZ 4-3 Table 5-1: Potential Evacuation Areas for Dresden Station EPZ 5-2 Table 6-1: Evacuation Time Estimate Summary for Dresden Station EPZ 6-6 Table 6-2: Evacuation Time Estimates for Partial EPZ Scenarios (unstaged) 6-7 Table 6-3: Evacuation Time Estimates for Partial EPZ Scenarios (staged) 6-10 Table 6-4: Summary of Network Performance (Full 10

-mile EPZ, Winter Weekday, Normal Weather) 6-16 Table 6-5: ETE for Special Facilities, Dresden Station EPZ (Full 10

-mile EPZ, Winter Weekday, Normal Weather) 6-17 Table 6-6: ETE for Schools in Dresden Station EPZ (Full 10

-mile EPZ, Winter Weekday, Normal Weather) 6-18 Table 7-1: Predicted Queues at High

-Volume Intersections on the Road Network 7-2 iv Table of Contents Figures Figure 1-1. Dresden Generating Station EPZ Area 1-5 Figure 1-2. Resident Population by Sector within 15 Miles of Dresden Generating Station 1-6 Figure 4-1. Designated Evacuation Routes for Dresden Generating Station EPZ 4-4 Figure 5-1. Departure Time Distributions for the Dresden Station EPZ 5-6 Figure 5-2. Evacuation Modeling and Simulation using PTV Vision Suite 5-7 Figure 6-1. Departure Curves for Stage 2 Zones, Dresden EPZ 6-11 Figure 6-2. Dresden Sensitivity of ETE to Population Growth (Winter Weekday, Normal Weather, Full EPZ) 6-12 Figure 6-3. Dresden Predicted Traffic Volume by Link with I

-80 EB Link Removed (Summer Weekday, Normal Weather, Full EPZ) 6-13 Figure 6-4. Time Distribution of Vehicles on the Network (Full 10

-mile EPZ, Winter Weekday, Normal Weather) 6-14 Figure 6-5. Comparison of Vehicle Mobilization and Departure Rates (total vehicles 74,681) 6-15 Appendices A Transient and Special Facility Population Data B Telephone Survey of EPZ Residents C Roadway Network Map and Data Table D Average Speed by Roadway Link by Hour (Winter Day, Full EPZ)

v Table of Contents List of Acronyms and Abbreviations ADT Average daily traffic BAO ESRI Business Analyst Online DGS Dresden Generating Station EAS Emergency Alert System EPZ Exposure Pathway Emergency Planning Zone ERPA Emergency Response Protection Area ETE Evacuation time estimate GIS Geographic information system GPS Global Positioning System IEMA Illinois Emergency Management Agency IPRA Illinois Parks and Recreation Association LOS Level-of-service NRC Nuclear Regulatory Commission PAR Protective Action Recommendation TAR Tone alert radios

1-1 Exelon Generation Dresden Station Evacuation Time Estimates

1. Introduction 1.1 General Evacuation time studies analyze the manner in which the population within the Plume Exposure Pathway Emergency Planning Zone (EPZ) surrounding a nuclear power plant site would evacuate during a radiological emergency. Evacuation time studies provide licensees and State and local governments with site

-specific information helpful for protective action decision

-making. The studies estimate the time necessary to evacuate the EPZ for a range of evacuation scenarios. Analysis of the evacuation simulation results also identifies locations where traffic management and control measures can facilitate the evacuation, and may identify unique evacuation constraints or conditions.

Estimates of the time required to evacuate from areas around nuclear power plant sites are required for all operating plants in the United States. Federal guidance has been prepared to outline the format and content of these evacuation time estimates (NUREG

-0654, Rev. 1(Nuclear Regulatory Commission (NRC), 1980), NUREG/CR

-4831 (NRC, 1992) and NUREG/CR

-7002 (NRC, 2011)

). Evacuation time estimate (ETE) studies were last updated for the Dresden Generating Station (DGS) Plume Exposure Pathway EPZ in 2003 (Earth Tech, 2003). The guidance presented in NUREG/CR

-7002 indicates that the evacuation time estimates should be updated as local conditions change, but at least once each decade, following release of the federal census. The current update study was prompted by the issuance of revised ETE guidance (CR

-7002) and the availability of population data from the 2010 census. Census data indicate that the population residing within the EPZ for DGS increased by 35,808 between 2000 and 2010, which represents a 50.9 percent population increase. (Population data are discussed further below in section 1.4.) The evacuation time estimates have been developed using current population, local roadway network characteristics and the PTV Vision TM traffic simulation software package to perform evacuation modeling for different scenarios. PTV Vision includes the VISSIM (microscopic traffic simulation) and VISUM (macroscopic traffic simulation) models. Evacuation times have been estimated for various areas, times and weather conditions, as outlined in CR

-7002. These evacuation times represent the times required for completing the following actions:

Public notification;

1-2 Exelon Generation Dresden Station Evacuation Time Estimates Preparation and mobilization; and Actual movement out of the EPZ (i.e., on

-road travel time, including delays associated with vehicle queuing).

1.2 Site Location and Emergency Planning Zone (EPZ)

This report describes the analyses undertaken, and the results obtained, in a study to update the existing Evacuation Time Estimates for DGS. The emergency response plan is designed to protect the health and safety of the public in the event that an evacuation is ordered as a protective action in response to an accident at DGS. Dresden Generating Station is located in Goose Lake Township, Grundy County, Illinois, along the south side of the Des Plaines River, about 12 miles southwest of Joliet. The site location is shown in Figure 1

-1. The plume exposure pathway EPZ is the geographic area surrounding a nuclear power plant within which the NRC requires advance planning for evacuation or other short

-term protective actions in the event of a radiological emergency. The Dresden Station EPZ consists of the area within an approximate 10

-mile radius of Dresden Station, as shown in Figure 1

-2. The EPZ includes part of three Illinois counties (Will, Grundy and Kendall

). The Dresden Station EPZ is subdivided into a total of 16 Sub-Areas, or Emergency Response Protection Areas (ERPAs). These ERPAs are the basic units for which protective action recommendations are issued. Sub

-Area boundaries often follow geographic (township) boundaries, and reflect distance and direction from DGS. The distance ranges of concern are 0

-2 miles, 2

-5 miles, and beyond 5 miles. EPZ and ERPA boundaries are shown in Figure 1-1. The western side of the EPZ, accounting for almost half of the total EPZ area, is in Grundy County. ERPA 6, in the northwestern quadrant of the EPZ, is in Kendall County. The seven ERPAs on the eastern side of the EPZ are all in Will County. A listing of the 2010 permanent resident population by ERPA within the Dresden Station EPZ is shown in Figure 1

-1. Table 1

-1 compares the EPZ population from the 2010 and the 2000 census. The population residing in the EPZ grew by 35,808 between 2000 and

2010, an increase of 50.9 percent. ERPAs 1, 6, 13 and 14 all grew by 80 percent or more. More than 30 percent of the EPZ population of 106,100 residents is in ERPA 13, which includes Shorewood and the southwest corner of the city of Joliet. Between 2000 and 2010, the population of ERPA 13 increased by a factor of 2. ERPA 1, immediately north of DGS, contains the city of Minooka. The population of ERPA 1 grew from 4,525 to 1-3 Exelon Generation Dresden Station Evacuation Time Estimates 13,061 since 2000

. Six other ERPAs (2, 5, 10, 12, 15 and 16) have more than 5,000 residents. The city of Morris is split between ERPAs 2 and 5; Diamond and Braceville are in ERPA 10; Channahon is in ERPA 12; Wilmington is in ERPA 15; and Braidwood is in ERPA 16. Braidwood Generating Station is located just outside the Dresden EPZ, immediately south of ERPA 16. ERPAs 9 and 11 are very rural, with fewer than 500 residents in each. Interstate 55 crosses the EPZ in a north

-south direction, while the Illinois River crosses the EPZ from the northeast to the west. I

-80 crosses the EPZ roughly parallel to, and a few miles north of, the Illinois River.

NRC guidance also requires consideration of potential "shadow evacuation" of the population residing immediately outside the EPZ, to a distance of 15 miles. The permanent resident population within this region is 174,820. Most of this population resides in Will County to the northeast of the EPZ, in Joliet. It was assumed (based on NRC guidance in CR

-7002) that 20 percent of the population in this region would evacuate. The occupancy factor for EPZ residents (1.93 persons per vehicle) was applied to estimate vehicle demand for this population. Shadow evacuees residing outside the EPZ add vehicle demand of 18,116 vehicles. A map showing the population by distance and direction sector within 15 miles of Dresden Station is provided in Figure 1-2. (Due to roundoff errors that propagate when sector boundaries cut across census block boundaries, the population numbers disagree slightly between Figure 1

-1 and Figure 1-2.) 1.3 Designated Reception Centers The Dresden Station emergency response evacuation plan directs residents of communities within the EPZ to evacuate to specified reception centers. If evacuation is initiated while schools are in session, students will be transported directly to designated Host Schools, and families are instructed to meet up with the students at those locations.

The designated receiving communities for ERPAs within the Dresden Station EPZ are Orland Park, Oglesby and Pontiac, IL. The preferred reception community for each ERPA is listed in Table 1

-2. (Some ERPAs may evacuate differently, depending upon the prevailing wind direction.) The roadway network used to develop evacuation time estimates includes the major roadways recommended to the public as evacuation routes from individual communities to designated reception centers.

The roadway network is designed to utilize all available major roadways, with traffic flow directed radially outward 1-4 Exelon Generation Dresden Station Evacuation Time Estimates from DGS toward the EPZ boundaries. The roadway network is described in detail in Section 4.

1.4 Overview of Changes from Previous ETE Study The changes in residential population within the EPZ are summarized in Table 1

-1. The revised NRC guidance and newly acquired data led to a number of other changes in the ETE methodology and assumptions. Table 1

-3 provides a summary comparing the main features and assumptions of the current study to the 2003 ETE study. The telephone survey of EPZ residents provides a new basis for estimating vehicle occupancy and departure times, while new NRC guidance has specified different assumptions regarding background and "shadow" traffic. The ETE methodology and assumptions for the current study are discussed in greater detail in following sections of the report.

The large increase in EPZ population, revised vehicle occupancy for residents (1.93 persons per vehicle, based on survey), revised departure times for schools and special facilities (no "early warning") and the revised departure time curves for residents (based on survey responses and estimated time for warning diffusion) are expected to have the greatest influence on estimated evacuation times. The "shadow evacuation" adds vehicle demand of 18,116 vehicles in the area immediately outside the EPZ.

The potential impacts of shadow evacuation will be greatest for travel to the Orland Park reception center. Each of these issues is discussed in more detail in following sections of the report.

GFChannahon (2921)Wilmington (313)Channahon (7401)Custer (285)Florence (744)Wilmington (5669)Jackson (3405)Reed (5516)Joliet (8)Troy(33414)Wilmington(211)Lisbon (144)Seward (4455)Maine (330)Morris(7110)Saratoga (6122)Wauponsee (2423)Aux Sable(13061)Braceville (6467)Felix (4427)GooseLake (1674)1 10 11 12 13 14 15 16 2 3 4 5 6 7 8 9024Miles q G FSite Location G

F-88.267952 / 41.389836DRESDEN GENERATING STATION POPULATION DISTRIBUTION - SUB-AREASEXELON GENERATIONERPA2010 Population113,06126,12233,23441,67457,11064,59974,42782,4239211106,46711330127,4011333,422143,405156,698165,516TOTAL:106,100GFDresden PlantLegend10 Miles from PlantTownship BoundarySub-Area BoundaryEPZ Boundary 315 7 13 62128 133024451267819769011271785091612 26590285172102 48 59 92 77 97253107 73 9084415451187259816960117875305639856691737618487121919862130767092115188025291118 86218410548725199582738521441956 55 2 0 0 1 110605747071543948352667227 3 0 6 0 0 251045 44 37 22 606191895 64 39 1 1 0 12 94269187103 48107 75 73270125 64 54 75147511 29212713690573430358199 36 30 37 31 43 6155736761816140 74 70115 476 0 0469585459376350 97104 80 47 78132 60 0 0 7118 43 65110114104 63 43423715 71 0 0 1 3 10 302341032801247206112 96 50 53 0 0 21 26 15748883042132115454208185 51 36 0 0 5 30 53 19 50 74 57 86 81333 79 87 0 7264738118 42 35 34 47 49 91109124106457293624491877194864 86110107490413743915113952327024Miles q G FSite Location G

F-88.267952 / 41.389836POPULATION DISTRIBUTIONEPZ & SECTORS 15-MILEEXELON GENERATION LegendDresden EPZ BoundarySector 15-mileSector DirectionDRESDEN GENERATING STATIONOpen Street Map Base Image Source: ArcGIS Online Services, Access date: 09/19/2012, viaArcGIS v10. This image is not for re-sale or distribution outside of the use of this PDF.

NOTE:EPZ total population varies from 2011 draft report totals by less than1% due to the rounding of population calculations from additional block processing.

Plant to 1 mile population not summarized in any sector direction.DISTANCEPOPULATIONDISTANCEPOPULATIONEPZ 1315NAEPZ 24,194NAEPZ 36,013NA EPZ 45,775NA EPZ 57,885NA EPZ 62,238NA EPZ 76,579NA EPZ 813,535NA EPZ 923,022OUT 932 EPZ 1014,918OUT 103,053 EPZ 1112,402OUT 112,627 EPZ 128,948OUT 1233,729 EPZ 13227OUT 1349,939 EPZ 1422OUT 1444,684OUT 1541,055EPZ TOTAL:106,073EPZ-15 TOTAL:175,119TOTAL POPULATION: 281,192EPZ1,354OUT2,629TOT:3,983 EEPZ3,301OUT4,105TOT:7,406ENEEPZ786OUT287TOT:1,073ESEEPZ15,024OUT25,576TOT:40,600 NEPZ10,387OUT77,311TOT:87,698 NEEPZ31,377OUT52,642TOT:84,019 NNEEPZ1,582 OUT489TOT:2,071 NNWEPZ1,325OUT439TOT:1,764 NWEPZ10,051 OUT2,699TOT:12,750 SEPZ6,489 OUT2,641TOT:9,130 SEEPZ5,532OUT1,630TOT:7,162 SSEEPZ2,573OUT264TOT:2,837 SSWEPZ600OUT1,276TOT:1,876 SWEPZ7,472OUT1,312TOT:8,784 WEPZ389OUT565TOT:954WNWEPZ7,516 OUT1,254TOT:8,770WSW 1-7 Exelon Generation Dresden Station Evacuation Time Estimates Table 1-1: Permanent Resident Population in the Dresden Station EPZ ERPA Local Communities (city, village, township) Census 2000a Census 2010b Percent Change 0 to 2 miles 1 Aux Sable Twp, Minooka (Grundy County) 4,525 13,061 188.6 3 Channahon Twp (part), Wilmington Twp (part)

(Will County) 1,797 3,234 80.0 4 Goose Lake Township (Grundy) 1,784 1,674 -6.2 2 to 5 miles 7 Felix Township, Carbon Hill, Diamond (Grundy) 4,009 4,427 10.4 9 Wilmington Twp (part) (Will) 249 211 -15.3 12 Channahon Township, Channahon (Will) 7,826 7,401 -5.4 5 to 10 miles 2 Saratoga Township (Grundy) 4,448 6,122 37.6 5 Morris Twp, Morris (Grundy

) 7,781 7,110 -8.6 6 Seward Twp, Lisbon Twp (part) (Kendall County) 1,000 4,599 359.9 8 Wauponsee Township (Grundy) 2,491 2,423 -2.7 10 Braceville Twp, Braceville, Coal City (Grundy) 4,895 6,467 32.1 11 Maine Township (Grundy) 242 330 36.4 13 Troy Twp (part), Joliet (part), Shorewood (Will) 16,704 33,422 100.1 14 Jackson Twp (part), Elwood (Will) 1,852 3,405 83.9 15 Wilmington Twp (part), Custer Twp (part) (Will) 5,921 6,698 13.1 16 Reed Twp, Braidwood (Will) 4,768 5,516 15.7 Dresden Station EPZ Total 70,292 106,100 50.9 Sources: a) 2000 census data from 2003 ETE study report b) 2010 census data (block level)

1-8 Exelon Generation Dresden Station Evacuation Time Estimates Table 1-2: Designated Reception Centers for Evacuation ERPAs Receiving Community and Primary Routes Out of EPZ 1 (0 - 2 mi) Orland Park or Oglesby; Hwy 6 E or W, I

-80 E or W 3 (0 - 2 mi) Orland Park or Pontiac; I

-55 N or S 4 (0 - 2 mi) Oglesby or Pontiac; local roads E, W and S 7 (2 - 5 mi) Pontiac; Hwy 113 W, I

-55 SW 9 (2 - 5 mi) Pontiac; I

-55 SW 12 (2 - 5 mi) Orland Park; Hwy 6 NE, I

-55 N 2 (5 - 10 mi) Oglesby; I

-80 W, Hwy 47 N 5 (5 - 10 mi) Oglesby or Pontiac; I

-80 W, Hwy 47 N or S 6 (5 - 10 mi) Orland Park or Oglesby; Hwy 52 E or W, I

-80 E or W 8 (5 - 10 mi) Pontiac; Hwy 47 S 10 (5 - 10 mi) Pontiac; I-55 SW, Hwy 53 SW 11 (5 - 10 mi) Pontiac; Local roads W 13 (5 - 10 mi) Orland Park; I

-80 E, Hwy 6 NE 14 (5 - 10 mi) Orland Park; Hwy 53 N 15 (5 - 10 mi) Pontiac; I-55 SW, Hwy 53 SW 16 (5 - 10 mi) Pontiac or Orland Park; Hwy 53 SW, I-55 SW, Hwy 113 SE

1-9 Exelon Generation Dresden Station Evacuation Time Estimates Table 1-3: ETE Comparison ETE Element 2003 ETE Current Study Permanent residents - Total population

- Vehicle occupancy (persons per vehicle)

- 70,292 - 2.70 (one vehicle per household) - 106,100 - 1.93 Transit dependent

- Population estimate

- Number of buses

- Number of ambulances Evacuation of transit dependent population was not addressed in 2003 study - 1,6 00 persons - 27 bus/54 trips - No ambulances Transient facilities

- Estimated population

- Vehicle demand

- Adjust for double

-count (winter day/summer day

) - 11,651/27,501 - 9,750/15, 920 - No adjustment (winter day/summer weekend

) - 14,157/28,585 - 11,874/16,610 - Adjust for retail facilities Special facilities

- Estimated population

- Number bus, van - Ambulance, other (winter weekday)

- 797 - 29 bus/van - 99 ambulance (winter weekday)

- 1,415 - 38 b us/van - 21 ambulances Schools - Student population

- Number of buses (winter weekday)

- 20,470 (day care included)

- 301 bus/10 van (winter weekday)

- 24,083 (day care included)

- 442 bus/37 van Background traffic None Average traffic by time of day Shadow evacuation (assumed basis)

None 20% of resident population outside designated zones Special event(s) None None Scenarios - Winter day, winter night

- Summer day, summer night

- Both normal and adverse weather for all four cases - Weekday (winter, summer)

- Weeknight (winter, summer)

- Weekend (winter, summer)

- Adverse weather weekday only

- Staged evacuation Adverse weather Snow for winter, rain for summer Snow for winter, rain for summer Evacuation m odel name and version NetVac2 PT V Vision VISUM, VISSIM Departure times

- Residential based on literature

- Transient based on literature

- Specials based on notification at alert - Warning based on literature

- Residential based on survey

- Transient based on survey

- Specials notified with public Evacuation times Estimates for 100% Estimates provided for 90 and 100%

2-1 Exelon Generation Dresden Station Evacuation Time Estimates

2. Methodology and Assumptions 2.1 Sources of Data and General Assumptions The following data sources were reviewed and assumptions made in order to develop the appropriate population and roadway databases used for the evacuation analysis:

Population estimates for permanent residents were developed from 2010 U.S.

Census Bureau data.

Population estimates for seasonal residents were developed from 2010 United States Census Bureau data on housing units. Census data identify the number of seasonal housing units (vacant housing units for "seasonal or occasional use") at different geographic levels (e.g., by township, census tract, block group, block). A conservative estimate of seasonal population was developed by assigning six (6) persons per seasonal housing unit. Population estimates for major employers were developed from ESRI list and the facility list from the 2003 study report. ARCADIS conducted internet searches and telephone surveys to estimate facility employment and staffing levels for different

scenarios. Only facilities with potential staffing level of at least 50 persons per work shift were pursued.

Information relating to hotels, motels and recreational facilities was obtained from tourism websites, 2011 AAA TourBook listings, and the 2003 study report. For parks, visitation information was obtained from state park agencies.

Current population estimates for schools were obtained primarily from county emergency response agencies, plus enrollment information available on the internet. Lists of hospitals, rest homes and incarceration facilities were obtained from each county emergency management agency.

The staffing levels at DGS reflect estimated peak personnel onsite during outage conditions. These data were provided by Exelon Generation.

2-2 Exelon Generation Dresden Station Evacuation Time Estimates Initial estimates of roadway characteristics were obtained from the NAVTEQ database. Roadway geometric and operational data were compiled based on field surveys performed by ARCADIS in 2011.

Average traffic volumes by time of day for weekday and weekend for designated evacuation routes were obtained from state and county transportation agencies. These data were used to assign background traffic volumes for the roadway network. It was assumed that access control would be established within two hours following the public notice to evacuate.

Preparation and mobilization times for the permanent resident population were developed based on the results of a telephone survey, combined with published time estimates for warning diffusion. The survey provided estimates of the time to depart from home following notification, and commuting times for household members who would return from work before departing.

Median departure times for residents are longer than the times assumed in the previous study. Departure times for transient facilities were estimated assuming relatively prompt evacuation of most workplaces and recreational facilities once notification is received. The distribution of departure times also reflects information gathered from the telephone survey of EPZ residents, as discussed in Section 3.

The evacuation time estimates represent the time required to evacuate the Dresden Station EPZ and designated analysis areas and include the time required for initial notification.

Evacuation time estimates are presented for 90 percent and 100 percent of evacuating vehicles. It is assumed that all persons within the EPZ area will evacuate. For the 100 percent evacuation time, evacuation of the EPZ will be considered complete after all evacuating vehicles are outside of the EPZ or analysis area.

The general public will evacuate using designated evacuation routes and will proceed to the reception centers listed in Table 1

-2 after leaving the EPZ. When schools are in session, children attending school will be transported directly to designated Host Schools.

It is assumed that existing lane utilization will prevail during the course of the evacuation. Traffic control signals will be over

-ridden or converted to flashing 2-3 Exelon Generation Dresden Station Evacuation Time Estimates mode as necessary to give preference to flow on all major outbound roadways. It is also assumed that State and municipal personnel will restrict unauthorized access into the EPZ, consistent with existing traffic management plans.

The evacuation analysis cases are described in Section 2.3 and represent a range of conditions, per guidance presented in CR

-7002. These cases have been chosen to provide information for an appropriate range of conditions (i.e., low, typical and high population; fair and adverse weather) to guide the protective action decision

-making process. Potential "special events" such as holiday parades and sporting events occurring within the EPZ were considered, based on input from state and county agencies. None of these events was judged to represent a major departure from the peak traffic assumptions reflected in the "standard" scenarios, so a Special Event scenario was not included in this study.

Vehicle occupancy rates used for the various population categories are as follows:

- Permanent residents: 1.93 persons per vehicle, based on telephone survey results - Major places of employment - 1 vehicle per employee.

- Motels - 1 vehicle (1 to 2 persons) per occupied room.

- Recreational areas - 1 vehicle (3 persons) per campsite; 1.5 persons per vehicle at visitor centers and museums.

- Schools: 55 students and 3 staff per bus; one vehicle per additional staff person. - Hospitals/Nursing Homes/Correctional Facilities - 2 persons per ambulance/medical van for non

-ambulatory patients and 20 people per bus or van for ambulatory residents.

The transport-dependent population will be evacuated by bus or ambulance through efforts coordinated by state and municipal emergency preparedness officials.

2-4 Exelon Generation Dresden Station Evacuation Time Estimates Adverse weather refers to moderate to heavy rainstorms for summer conditions, and a moderate snowstorm for winter conditions.

2.2 Interaction with Agencies Emergency management agencies responsible for planning and implementing the emergency response procedures during a radiological emergency were consulted during the development of this ETE study. The Illinois Emergency Management Agency (IEMA) and emergency agencies for Will, Grundy and Kendall Counties were contacted to obtain information regarding special and transient facilities in the EPZ, transportation resources available to evacuate special facilities, and the transport dependent general public. Those agencies were also consulted to identify any major events that take place within the EPZ that should be considered for a Special Event scenario. The Illinois Parks and Recreation Association (IPRA) list of special and transient facilities for all six Exelon nuclear stations in Illinois was provided to ARCADIS by Exelon. IEMA and the county agencies reviewed the draft report and the facility databases used in this study.

Representative background traffic volumes for the EPZ roadway network were obtained from state and county transportation agencies.

2.3 Summary of Methodology for Traffic Simulation The evacuation time estimates developed for the Dresden Station EPZ are based upon a time distribution of evacuation events as opposed to a summation of sequential events. This methodology assumes that the various time components in an evacuation (i.e., the time associated with preparation, mobilization, etc.) overlap and occur within certain time ranges. The time distribution approach is based upon assumptions consistent with the NRC guidance of CR

-7002. Trip generation times are used to develop vehicle loading curves for different population types within the permanent, transient, and special facility populations.

A trip generation time consists of two main components: warning diffusion time and mobilization time. Warning diffusion time is the time it takes for people to receive an emergency notification. The type of warning systems employed in the EPZ, such as emergency alert system (EAS), sirens, and tone alert radios (TARs) affects the distribution of warning times. Availability of more warning systems leads to faster warning diffusion to the public.

2-5 Exelon Generation Dresden Station Evacuation Time Estimates Mobilization time is the time between the receipt of notification and when individuals leave for evacuation. Mobilization time depends on the type of population and activity. Warning diffusion time and mobilization time distributions are used to develop composite loading distribution or trip generation curves for different population segments. Trip generation times for transit dependent facilities, special facilities and schools we re developed separately from those for the general public. 2.4 Conditions Modeled Pursuant to the guidance in CR

-7002 and NUREG

-0654, Rev. 1, evacuation time estimates have been prepared for a range of temporal, seasonal and weather conditions. Estimates have been prepared for weekday, weeknight and weekend scenarios during winter and summer. All scenarios are simulated with fair weather conditions; weekday scenarios are also simulated assuming adverse weather. Fair weather refers to conditions where roadways are clear and dry, and visibility is not impaired. Adverse weather during summer periods is defined as heavy rain, with impaired visibility; roadway capacities are reduced by 10 percent and speeds are reduced by 15 percent. Adverse weather during winter periods is defined as a snowstorm condition where roadway capacities and speeds are reduced by 15 percent. The various population components which have been incorporated in the evacuation scenarios are summarized below:

2.4.1 Week Day This situation represents a typical weekday period with the work force is at a full daytime level. During winter, schools are in session. Vehicle demand estimates for weekday scenarios reflect the following conditions:

Most permanent residents within the EPZ will evacuate from their places of residence; Major work places are fully staffed at typical daytime levels; DGS employment is at an estimated peak daytime level, representative of operation during outage conditions; Schools and daycares are at current enrollment;

2-6 Exelon Generation Dresden Station Evacuation Time Estimates Hospitals and nursing homes are at current enrollment or typical occupancy; Motel facilities are occupied at peak (winter or summer) levels; and Recreational facilities are at winter or summer weekday levels.

2.4.2 Week Night This situation reflects a typical night period when most permanent residents are home and the work force is at evening shift level. Assumptions on the population levels for this condition include the following:

Permanent residents within the EPZ will evacuate from their places of residence; Major work places are at typical evening levels; DGS employment is at an estimated peak night

-time level; Day schools and daycares are closed; Hospitals and nursing homes are at current enrollment or typical occupancy, and staffing is at typical night

-time levels; Motel facilities are occupied at (winter or summer) weekday levels; and Recreational facilities are at typical (winter or summer) evening levels.

2.4.3 Weekend The weekend scenario represents a daytime period when most residents are at home and major work places are at typical weekend levels. Assumptions on the population levels for this condition include the following:

Residents within the EPZ will evacuate from their places of residence; Major work places are at typical weekend levels; Day schools and daycares are closed;

2-7 Exelon Generation Dresden Station Evacuation Time Estimates Hospitals and nursing homes are occupied and staffed at weekend levels; Motel facilities are occupied at weekend (winter or summer) levels; and Recreational facilities are at (winter or summer) weekend levels.

2.4.4 Special Event Consideration County agencies and IEMA were asked to identify events such as a county fair or Fourth of July observance that would bring a large number of visitors into the EPZ. No events were identified that are large enough to pose a significant challenge for an emergency evacuation, so a Special Event scenario was not developed for the Dresden EPZ. (The same decision was made for the 2003 update study.)

2.4.5 Sensitivity to Population Growth and Roadway Impact Additional scenarios were evaluated to assess the sensitivity of ETEs to population growth and roadway impact. These sensitivity cases used the Summer Weekday, Normal Weather case for the Full EPZ as the base case. The population growth analysis is used to determine how rapidly the ETE would increase as the resident population in the EPZ is increased. For the roadway impact scenario, a major evacuation route is removed or reduced in capacity. Specifically, one of the five highest volume roadways is removed from service, or capacity is reduced by one lane (for a multi

-lane, limited

-access roadway such as an interstate highway). A more detailed description of the sensitivity analysis is provided in Section 6.5.

3-1 Exelon Generation Dresden Station Evacuation Time Estimates

3. Population and Vehicle Demand Estimation The development of vehicle demand estimates for the Dresden Station EPZ consisted of two primary steps. The first step was the determination of the number and distribution of the population to be evacuated. The second step was the determination of the appropriate number of vehicles for each of the population categories. Federal guidance (CR

-7002) indicates that three population categories should be considered: permanent residents, transients, and persons in schools and special facilities (such as medical facilities/ nursing homes, and day care facilities).

The methodology used to develop the total population and vehicle demand estimates within the Dresd en Station EPZ incorporates intrinsic double counting. For example, a portion of the identified employees and visitors to recreational areas are also permanent residents within the EPZ. In addition, school children are counted in the resident population, but are also counted in the special facility population. While population and vehicle demand estimates incorporate some adjustments for double

-counting, the estimates are considered to be conservative (i.e., they over

-estimate actual population and vehicle levels which may be in the area at any given time). Population and vehicle demand estimates for each of the population categories are summarized below.

3.1 Permanent Residents Permanent residents are those persons identified by the census as having a permanent residence within the EPZ. The Census 2010 population data for census tracts, block groups and blocks were used to determine the permanent resident population within the EPZ and within each municipality and Sub

-Area. The allocation of the resident population to entry nodes on the roadway network was based on detailed census block maps.

An estimated 106,100 persons reside permanently within the Dresden Station EPZ. Table 3-1 presents the resident population and vehicle demand by Sub

-Area. The EPZ Sub-Areas are defined based on distance and direction from DGS, and generally follow geographic (township) boundaries. ERPA 4 (Goose Lake Township) contains DGS. This ERPA extends 7 miles we st of DGS and 4 miles south. ERPA 1 (Aux Sable Township) extends 5 miles to the we st and 5 miles north of DGS. ERPA 3 (part of Channahon and Wilmington Townships) extends from 1 to 4 miles east of DGS, 2 miles north and 3 miles south.

3-2 Exelon Generation Dresden Station Evacuation Time Estimates In the 2 to 5

-mile distance range, ERPA 7 (which includes Coal City) is south of DGS, while ERPA 9 is southeast and ERPA 12 is northeast of the plant. Most of the largest population centers in the EPZ (Joliet, Shorewood, Morris, Wilmington, Braidwood) are in ERPAs more than 5 miles from DGS. A telephone survey of EPZ residents was conducted to obtain information relating to how many vehicles residents would use to evacuate and how long it would take them to depart following notification. The survey questionnaire and results are provided in Appendix B.

3.1.1 Auto-Owning Permanent Population Vehicle demand associated with the permanent resident population was estimated based on telephone survey responses. After adjusting survey results to reflect the age distribution of the EPZ, the estimated occupancy factor is 1.93 persons per vehicle, which corresponds to 1.45 vehicles per household. Total vehicle demand for EPZ residents for winter scenarios is 54,974. "Shadow evacuation" of 20 percent of the population residing outside the EPZ within 15 miles of DGS adds vehicle demand of another 18,116 vehicles.

For the 2003 ETE study, evacuation times were determined for vehicle demand assumption of one vehicle per household, or 2.70 person s per vehicle, for permanent residents. 3.1.2 Transport-Dependent Permanent Population Emergency response plans specify that the transport

-dependent population will receive transportation assistance. The Will County and Grundy County Emergency Response Plans include provisions for providing this assistance, including bus routes with designated pickup points in Joliet, Shorewood, Morris and Minooka. Based on telephone survey results, about 2 percent of households (with phones) had either no vehicle or no licensed driver. NRC guidance (CR-7002) indicates that between 1.5 and 5 percent of residents may require transportation.

ETE estimates are based on evacuation of up to 1,600 transit dependent residents from the EPZ. Individuals requiring transit from reception centers to congregate care centers will be transported in a separate set of vehicles from those designated to transport the transit dependent and special facilities out of the EPZ.

3-3 Exelon Generation Dresden Station Evacuation Time Estimates 3.2 Seasonal Residents The seasonal population category addresses those who reside in the EPZ on a temporary basis, particularly during the summer period. The 2010 U.S. Census of Population and Housing reports the number of vacant households classified as "for seasonal or occasional use". Census data identified 846 such housing units in the Dresden Station EPZ, including 469 in ERPA 16 (Reed Township)

. Population and vehicle demand were estimated assuming 6 residents and 2 vehicles per household.

3.3 Transient Population The transient population segment includes persons in the work force, hotels/motels, and recreational areas. Regional maps and mapping software were used to determine facility locations and assign entry nodes. Significant employers within the EPZ were identified using ESRI Business Analyst Online (BAO). BAO is a web-based analytical and mapping tool that facilitates location

-specific queries about business and demographic data. Data available on BAO includes information on business location and number of employees. ESRI extracts business data from a comprehensive list of businesses (over 12 million U.S. businesses) licensed from Infogroup. ARCADIS used BAO to search for all employers with 50 or more employees located within an 11

-mile radius of DGS. CR-7002 recommends consideration of "large employers" with 50 or more employees on a single shift.

The list from BAO was screened to eliminate businesses where workers do not remain on-site (e.g., transportation and trucking companies, construction, realtors, home health care). Employment at schools and special facilities (e.g., hospitals, nursing homes) is generally tracked as part of the special facilities database. The reduced list was then reviewed to exclude facilities located outside the EPZ, and to determine the ERPA for those located in the EPZ. The new list of employers was compared to the list from the 2003 study and the IPRA Special Facilities list provided by IEMA. Telephone calls were made to selected large employers to verify employment numbers and to estimate staffing levels during weekday, weeknight and weekend periods. The results from those calls confirmed that BAO listings provided accurate locations and current, reliable employment numbers for most establishments.

Workforce numbers for DGS were provided by Exelon Generation and reflect the peak work force during outage conditions.

Numbers of units and campsites for motels and recreational areas were obtained from the TripAdvisor website, the 2011 AAA TourBook for Illinois, and from state and county 3-4 Exelon Generation Dresden Station Evacuation Time Estimates tourism websites. Seasonal occupancy was estimated based on capacity figures (e.g., number of campsites) and a telephone survey of selected facilities. State and local parks agencies also provided visitation numbers for parks and campgrounds. For purposes of estimating the total number of vehicles associated with the transient population segment, an occupancy factor of 1.0 employee per vehicle was used for most work places. For the hotel/motel and recreational populations, it was assumed that there would be 1.0 vehicle (1.5 persons) per hotel/motel unit. For parks and campgrounds, 1.0 vehicle (3 persons) per campsite was assumed. Daytime park visitation numbers were generally obtained as numbers of vehicles, and an occupancy factor of 1.5 persons per vehicle was assumed. For museums and visitor centers, the same factor of 1.5 persons per vehicle was assumed. Campgrounds were assumed to be fully occupied during summer. Motels were assumed to be fully occupied for all scenarios. Vehicle demand for selected recreation facilities was reduced in consideration of double-counting. These facilities include recreation clubs and other facilities that would be used predominantly by those residing within 10 to 20 miles. An adjustment factor of 0.75 was applied, assuming that (a) roughly half of visitors reside in the EPZ, and (b) roughly half of EPZ residents would return home before evacuating. Similar adjustments were made for shopping centers and large retail outlets.

Table 3-2 presents a summary of the transient population by Sub

-Area for each scenario. The transient population and associated vehicle demand are greatest for summer weekday and summer weekend scenarios. Recreation facilities are located in ERPA 16 (Braidwood), along the Kankakee River in ERPA 3 and 15, and along the Illinois River (ERPA 1, 4 and 13). For all scenarios, ERPA 13 has highest population and vehicle demand from transient facilities, reflecting a combination of employers, motels, retail and recreation facilities. Population data and vehicle demand estimates for the transient population segment, including the work force, hotels and motels, and recreational areas are presented by facility in Appendix A. A breakdown of population by distance and direction sectors was not developed for transient and special facilities, since state and county agencies rely on population by ERPAs for emergency response planning. 3.4 Special Facilities Population The special facility population segment includes persons in schools, hospitals, nursing homes and correctional facilities who will require transportation assistance during an evacuation. Most school facilities are located in the ERPAs with large residential

3-5 Exelon Generation Dresden Station Evacuation Time Estimates population. The special facilities population is summarized by ERPA in Table 3

-3; data by facility is provided in Appendix A.

3.4.1 Medical, Nursing Care and Correctional Facilities The EPZ has one hospital, in Morris, and a small number of nursing homes and assisted living facilities. Vehicle occupancy for nursing home patients is two non

-ambulatory patients and one staff per ambulance, 20 resident s or patients plus 3 staff per vehicle (bus or van) for ambulatory patients, plus one vehicle per staff person wh o does not evacuate with patients. 3.4.2 Schools and Day Care 43 elementary and secondary schools and 21 pre-school/daycare facilities have been identified within the Dresden Station EPZ, with a total population of 24,344 students. None of the identified schools is residential, so students are only present on weekdays during the school year. Vehicle occupancy for public schools is based on 58 persons (55 students, 3 staff) per bus, plus one vehicle per additional school staff. Student population for public schools was determined from state

-published enrollment information.

The 21 licensed child care (large daycare) facilities have an estimated daytime population of 1,817 students and staff. Those facilities were identified from internet listing of licensed childcare establishments. The population estimates represent the licensed capacity of each facility. Smaller home

-based daycare facilities (capacity 10 or less) were not tabulated; those facilities contribute little vehicle demand beyond that assigned to EPZ residents.

Estimates of population and vehicles for Joliet Junior College, with enrollment of over 10,000 students, was addressed through information provided campus security. The approximate (typical) number of parked vehicles was provided for weekday, week night and weekend scenarios during the regular school year and for summer session.

3.5 Emergency Response Planning Area Population Totals Population and vehicle demand totals for each Sub

-Area are summarized in Table 3

-4. The totals listed in the table represent the peak number of people to be evacuated for each analysis case discussed in Section 6 of this report.

3-6 Exelon Generation Dresden Station Evacuation Time Estimates Vehicle demand is highest for the summer weekday scenario. Vehicle demand for the highest scenario is 24 percent higher than the lowest (winter weeknight) scenario. ERPA 13, Shorewood and Joliet, has the largest population and vehicle demand for all scenarios. The vehicle demand listed in Tables 3

-2, 3-3 and 3-4 reflects the data used as input for the ETE traffic simulations

.

3-7 Exelon Generation Dresden Station Evacuation Time Estimates Table 3-1: Resident Population and Vehicle Demand by EPZ Subarea Sub-Area Distance Permanent Resident Population Vehicle Demand (Winter) Seasonal (Summer) Residents Population Vehicle Demand (Summer) 1 0 - 2 mi 13,061 6,767 13,181 6,807 3 0 - 2 mi 3,234 1,676 3,828 1,874 4 0 - 2 mi 1,674 867 2,232 1,053 7 2 - 5 mi 4,427 2,294 4,643 2,366 9 2 - 5 mi 211 109 229 115 12 2 - 5 mi 7,401 3,835 7,509 3,871 2 5 - 10 mi 6,122 3,172 6,158 3,184 5 5 - 10 mi 7,110 3,684 7,182 3,708 6 5 - 10 mi 4,599 2,383 4,629 2,393 8 5 - 10 mi 2,423 1,255 2,459 1,267 10 5 - 10 mi 6,467 3,351 6,509 3,365 11 5 - 10 mi 330 171 342 175 13 5 - 10 mi 33,422 17,317 33,566 17,365 14 5 - 10 mi 3,405 1,764 3,441 1,776 15 5 - 10 mi 6,698 3,470 6,938 3,550 16 5 - 10 mi 5,516 2,858 8,330 3,796 EPZ total 106,100 54,974 111,176 56,666 3-8 Exelon Generation Dresden Station Evacuation Time Estimates Table 3-2: Transient Population and Vehicle Demand within the Dresden Station EPZ Population Vehicles Sub-Area Winter Summer Winter Summer Day Night Weekend Day Night Weekend Day Night Weekend Day Night Weekend 1 945 182 78 945 182 78 945 182 78 945 182 78 2 517 363 413 692 463 663 396 250 284 513 317 450 3 682 120 300 877 186 506 618 120 195 714 142 305 4 815 185 65 1,695 785 1,065 665 185 65 1,052 385 532 5 615 42 620 1,395 67 1,520 543 42 260 855 52 620 6 180 40 20 180 40 20 180 40 20 180 40 20 7 105 25 50 755 325 850 93 25 33 427 125 467 8 0 0 0 0 0 0 0 0 0 0 0 0 9 139 53 176 947 53 1,330 93 36 118 632 36 887 10 70 0 100 1,750 0 2,500 47 0 67 1,167 0 1,667 11 0 0 0 0 0 0 0 0 0 0 0 0 12 2,201 752 1,639 3,591 1,019 2,964 1,935 580 987 2,483 681 1,501 13 7,327 6,518 10,254 9,292 8,118 11,149 5,866 4,406 6,334 6,883 5,021 6,642 14 0 0 0 0 0 0 0 0 0 0 0 0 15 474 40 190 2,575 1,315 2,645 434 40 133 1,410 465 1,345 16 87 70 95 2,417 370 3,295 59 47 64 1,512 147 2,097 EPZ total 14,157 8,389 14,000 27,110 12,923 28,585 11,874 5,953 8,637 18,771 7,592 16,610 3-9 Exelon Generation Dresden Station Evacuation Time Estimates Table 3-3: Population and Vehicle Demand for Schools and Special Facilities in the Dresden Station EPZ Population Vehicles Sub-Area Winter Summer Winter Summer Day Night Weekend Day Night Weekend Day Night Weekend Day Night Weekend 1 6,554 0 0 96 0 0 762 0 0 14 0 0 2 1,238 138 138 349 138 138 181 24 24 82 24 24 3 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 5 4,222 399 399 910 399 399 920 168 168 538 168 168 6 0 0 0 0 0 0 0 0 0 0 0 0 7 364 0 0 0 0 0 42 0 0 0 0 0 8 45 0 0 36 0 0 6 0 0 6 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 10 2,470 0 0 214 0 0 284 0 0 28 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 12 1,924 6 6 136 6 6 227 2 2 22 2 2 13 16,963 3,367 2,317 3,739 1,717 1,217 4,898 2,264 1,514 2,138 1,114 764 14 482 0 0 0 0 0 56 0 0 0 0 0 15 1,705 155 155 260 155 155 260 16 16 93 16 16 16 1,695 0 0 28 0 0 197 0 0 4 0 0 EPZ total 37,662 4,065 3,015 5,769 2,415 1,915 7,833 2,474 1,724 2,925 1,324 974 3-10 Exelon Generation Dresden Station Evacuation Time Estimates Table 3-4: Summary of Population and Vehicle Demand within the Dresden Station EPZ Population Vehicles Sub-Area Winter Summer Winter Summer Day Night Weekend Day Night Weekend Day Night Weekend Day Night Weekend 1 20,560 13,243 13,139 14,222 13,363 13,259 8,475 6,949 6,845 7,766 6,989 6,885 2 7,876 6,623 6,673 7,199 6,759 6,959 3,749 3,446 3,480 3,779 3,525 3,658 3 3,916 3,354 3,534 4,705 4,014 4,334 2,294 1,796 1,871 2,588 2,016 2,179 4 2,489 1,859 1,739 3,927 3,017 3,297 1,532 1,052 932 2,105 1,438 1,585 5 11,947 7,551 8,129 9,487 7,648 9,101 5,147 3,894 4,112 5,101 3,928 4,496 6 4,779 4,639 4,619 4,809 4,669 4,649 2,563 2,423 2,403 2,573 2,433 2,413 7 4,896 4,452 4,477 5,398 4,968 5,493 2,430 2,319 2,327 2,792 2,491 2,832 8 2,468 2,423 2,423 2,495 2,459 2,459 1,261 1,255 1,255 1,273 1,267 1,267 9 350 264 387 1,176 282 1,559 202 145 227 747 151 1,002 10 9,007 6,467 6,567 8,473 6,509 9,009 3,682 3,351 3,417 4,559 3,365 5,031 11 330 330 330 342 342 342 171 171 171 175 175 175 12 11,526 8,159 9,046 11,236 8,534 10,479 5,996 4,417 4,824 6,376 4,554 5,374 13 57,711 43,307 45,993 46,596 43,401 45,932 28,080 23,987 25,165 26,386 23,500 24,771 14 3,887 3,405 3,405 3,441 3,441 3,441 1,820 1,764 1,764 1,776 1,776 1,776 15 8,877 6,893 7,043 9,773 8,408 9,738 4,165 3,526 3,620 5,053 4,031 4,911 16 7,298 5,586 5,611 10,775 8,700 11,625 3,114 2,905 2,922 5,312 3,943 5,893 EPZ total 157,919 118,554 123,115 144,055 126,514 141,676 74,681 63,401 65,335 78,362 65,582 74,250 Population numbers reflect some double

-counting between categories (residents, workforce, schools, etc.)

.

4-1 Evacuation Time Estimates Exelon Generation Dresden Station

4. Evacuation Roadway Network 4.1 Network Definition In order to estimate evacuation times for the Dresden Station EPZ, an evaluation of the roadway network likely to be used by departing vehicles was undertaken. ARCADIS relied on several sources of information to define the evacuation roadway network:

Evacuation routes described in the existing State emergency response plan; Maps of highways and local roadways for the EPZ area; A field survey of the roadways in the Dresden Station EPZ. The primary evacuation routings used in the modeling are indicated in Figure 4.1. 4.2 Evacuation Route Descriptions The evacuation routings were developed to simulate travel out of the EPZ using available roadways.

The network relies primarily on the evacuation routings depicted in the public information brochure. Descriptions of the primary evacuation routes for different geographic areas within the EPZ are outlined in Table 4

-1. 4.3 Characterizing the Evacuation Network Roadway characteristics such as roadway class, number of lanes, lane and shoulder width, speed limit, lane configuration near intersections, and traffic control are key factors in determining how fast an evacuation can be completed. These roadway attributes control roadway capacity, which in turn governs operating traffic conditions measured in terms of level

-of-service (LOS). LOS is measured from A to F for roadway segments and intersections. LOS A represents free

-flow conditions, and LOS F represents force or breakdown flow conditions.

ARCADIS used NAVTEQ TM roadway data with detailed information, including local streets, to build the evacuation roadway network for the study. NAVTEQ data was imported into geographic information system (GIS) software (ESRI ArcGIS TM) for conducting field surveys to verify evacuation roadway segment attributes. The information provided in the public information brochure for the site was used to highlight evacuation routes in GIS. ARCADIS has developed an integrated GIS

-Global 4-2 Evacuation Time Estimates Exelon Generation Dresden Station Positioning System (GPS) tool that allows field personnel to record observations in an efficient and effective manner. The evacuation network, including traffic controls, was verified to a 15

-mile radius from the plant, and along designated routes to the receptions centers. Once the NAVTEQ data was verified through the field survey, the evacuation roadway network was transferred to the traffic simulation software VISUM for modeling different evacuation scenarios.

Having accurate traffic control information is important to accurately estimate evacuation times because intersections have potential to create bottleneck points. During an evacuation scenario, intersections might be manually controlled by officials, operated with existing traffic signal timing plans, or adjusted according to changing vehicular demand.. In general, the emergency response plans for Dresden Station call for signal override, i.e., signals set to flashing to give priority to outbound travel on designated evacuation routes. Traffic control information is coded as part of the evacuation network database.

Background and pass

-through traffic in the EPZ could account for significant number of vehicles and could influence evacuation depending on the direction of travel. As recommended in CR

-7002, average daily traffic (ADT) volumes, representative of typical background levels, were obtained from state and county transportation agencies. During the simulations, background traffic will be included during the initial 2 hours2.314815e-5 days <br />5.555556e-4 hours <br />3.306878e-6 weeks <br />7.61e-7 months <br /> of the evacuation scenario, up to the time when access control is established to prevent vehicles from entering the EPZ.

A map of the evacuation network showing node numbers and links, as recommended by the latest guidance, is provided in Appendix C. Detailed attributes of each roadway segment, such as link number, number of lanes, speed limit, length, and roadway type are also tabulated in Appendix C.

4-3 Evacuation Time Estimates Exelon Generation Dresden Station Table 4-1: Dresden Station EPZ Primary Evacuation Routes Out of EPZ EPZ Sub-Areas Evacuation Routes 1 (0 - 2 mi) Highway 6 east or west, I

-80 east or west 3 (0 - 2 mi) Local roads east to I

-55, then north or south 4 (0 - 2 mi) Local roads east to I

-55, west to Hwy 47, or south to Hwy 113 7 (2 - 5 mi) Highway 113 west or east 9 (2 - 5 mi) I-55 southwest 12 (2 - 5 mi) Highway 6 northeast, I-55 north 2 (5 - 10 mi) I-80 west, Highway 47 north 5 (5 - 10 mi) I-80 west, Highway 47 north or south 6 (5 - 10 mi) Highway 52 east or west, I-80 east or west 8 (5 - 10 mi) Highway 47 south 10 (5 - 10 mi) I-55 southwest, Highway 53 southwest 11 (5 - 10 mi) Local roads west to Highway 47 south 13 (5 - 10 mi) I-80 east, Highway 6 northeast 14 (5 - 10 mi) Highway 53 north 15 (5 - 10 mi) I-55 southwest, Highway 53 southwest 16 (5 - 10 mi) Highway 53 southwest, I-55 southwest; Highway 113 southeast

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1. • Reception CommunityEmergency Evacuation RouteERPA DivisionInterstate & US HighwaysMajor RoadsMinor RoadsU:\projects\Exelon\Output\Dec2012Path: U:\projects\Exelon\ArcMap\Maps\Dec2012\DRESDEN_Evacuation_Roadway_Network.mxdIllinois2 Miles5 Miles10 MilesRiverBase Map Source: ESRI StreetMap North America 2008; Tele Atlas North America, Inc.La Salle CountyKendall CountyIllinoisMOINMIKankakeeRiverDes PlainesRiverGrundy CountyKendall CountyWilll CountyKendall CountyWilll CountyWilll CountyWilll CountyWilll CountyGrundy CountyLa Salle CountyGrundy CountyGrundy CountyLivingston CountyLa Salle CountyLivingston CountyKankakee CountyKankakee CountyKankakee CountyGrundy CountyKankakee County

_To PontiacWIIAWilll CountyCook County

_To Oglesby 5-1 Evacuation Time Estimates Exelon Generation Dresden Station

5. Evacuation Time Estimate Methodology 5.1 Evacuation Analysis Cases Time estimates have been prepared for a general evacuation scenario for each of these analysis cases:

Winter Weekday, Fair Weather and Adverse Weather Conditions Winter Weeknight, Fair Weather Conditions Winter Weekend, Fair Weather Conditions Summer Weekday, Fair Weather and Adverse Weather Conditions Summer Weeknight, Fair Weather Conditions Summer Weekend, Fair Weather Conditions Areas for evacuation are selected based on the "keyhole" configuration (0

-2 mile zone plus 2-5 mile or 0-5 mile plus 5-10 mile downwind zone). The partial-EPZ evacuation areas for DGS are reproduced in Table 5-1, based on the Protective Action Recommendation (PAR) chart. Separate simulations may not be necessary for each of the areas listed in Table 5

-1. ETE estimates will generally be controlled by whether one or two critical Sub-Areas (e.g., ERPA 13) are included. Enough cases will be run to ensure that representative ETE estimates are obtained for all potential scenarios.

For all partial-EPZ evacuation cases, "shadow" vehicle demand (20 percent of residents) is assigned to all Sub

-Areas which are not included in the evacuation region, in addition to the region outside of the EPZ.

5-2 Evacuation Time Estimates Exelon Generation Dresden Station Table 5-1: Potential Evacuation Areas for Dresden Station EPZ Wind Direction (from)

EPZ Sub-Areas 2 mile radius & 5 miles downwind WD 002 to 046 deg 1, 3, 4, 7 WD 047 to 182 deg 1, 3, 4 WD 183 to 292 deg 1, 3, 4, 12 WD 293 to 299 deg 1, 3, 4 WD 300 to 338 deg 1, 3, 4, 9 WD 339 to 001 deg 1, 3, 4, 7, 9 5 mile radius & 10 miles downwind WD 002 to 026 deg 1, 3, 4, 7, 9, 10, 11, 12 WD 027 to 044 deg 1, 3, 4, 7, 8, 9, 11, 12 WD 045 to 068 deg 1, 3, 4, 7, 8, 9, 12 WD 069 to 083 deg 1, 2, 3, 4, 5, 7, 8, 9, 12 WD 084 to 092 deg 1, 2, 3, 4, 5, 7, 9, 12 WD 093 to 112 deg 1, 2, 3, 4, 7, 9, 12 WD 113 to 143 deg 1, 2, 3, 4, 6, 7, 9, 12 WD 144 to 177 deg 1, 3, 4, 6, 7, 9, 12 WD 178 to 199 deg 1, 3, 4, 6, 7, 9, 12, 13 WD 200 to 225 deg 1, 3, 4, 7, 9, 12, 13 WD 226 to 249 deg 1, 3, 4, 7, 9, 12, 13, 14 WD 250 to 266 deg 1, 3, 4, 7, 9, 12, 14 WD 267 to 286 deg 1, 3, 4, 7, 9, 12, 14, 15 WD 287 to 321 deg 1, 3, 4, 7, 9, 12, 15 WD 322 to 344 deg 1, 3, 4, 7, 9, 12, 15, 16 WD 345 to 353 deg 1, 3, 4, 7, 9, 10, 12, 15, 16 WD 354 to 001 deg 1, 3, 4, 7, 9, 10, 12, 16 Entire EPZ All 5-3 Evacuation Time Estimates Exelon Generation Dresden Station 5.2 Initial Notification The EPZ surrounding DGS has an outdoor siren notification system consistent with the requirements of NUREG-0654, Rev. 1/FEMA-REP-1 Appendix 3. This system will be used by state and local officials to alert the population to turn on their radios and television sets. Pursuant to NUREG 0654, Rev. 1 guidance, notification messages will commence on the designated television and Emergency Alert System (EAS) radio stations concurrent with sounding of the sirens. Within 15 minutes of alert notification, essentially all of the population within the EPZ will begin to receive an informational or instructional message. If evacuation is deemed necessary, the timing of the order to evacuate and notification measures will be controlled by the state and local emergency preparedness officials. Those officials may choose to alert and mobilize an emergency response work force to control and expedite evacuation prior to the evacuation order.

5.3 Transportation Dependent Population The transportation dependent population includes individuals without access to transportation, as well as those requiring special transportation assistance.

Transportation dependent persons will be notified of a protective action recommendation in the same manner as the general public. If evacuation is recommended, persons needing transportation assistance will be informed through the EAS to contact the appropriate officials for assistance. Evacuees who do not have access to transportation and confined persons who require special transportation assistance will be provided transportation by the appropriate agency.

5.4 Evacuation Preparation Times and Departure Distributions It is assumed that no vehicles will begin to evacuate during the 15

-minute initial notification period. Accordingly, in the model simulations, vehicles will begin to evacuate at 15 minutes following the initial notification. After the initial 15

-minute time period, vehicles are loaded at a linear rate over each 5

-minute time interval, in accordance with the network loading distributions for each population type. For example, if 2 percent of 2500 vehicles (50 vehicles) are to be loaded at a specific location over a 5

-minute period, PT V Vision will load 10 vehicles per minute at that location during the specified interval. Network loading distribution assumptions for the permanent population, transient population, and special facilities are based on the anticipated response of different population sectors to an evacuation order. Mobilization times for residents and workers reflect the data acquired by the telephone survey of EPZ residents, and are consistent with published data from actual historical 5-4 Evacuation Time Estimates Exelon Generation Dresden Station events (ORNL, 1990). Loading distributions are explained below, and summarized in Figure 5-1. 5.4.1 Permanent and Seasonal Population Permanent and seasonal residents with access to automobiles will take varying amounts of time to begin evacuating. Some persons will leave as quickly as possible; most will take some time to prepare, pack valuables and clothes and then depart; some will take added time to secure property before departing; and some may require transportation assistance. In addition, actual departure and preparation times may vary according to the perceived severity of a particular evacuation order.

Based upon these factors, it was assumed that there would be a period of up to 3 hours3.472222e-5 days <br />8.333333e-4 hours <br />4.960317e-6 weeks <br />1.1415e-6 months <br /> over which the permanent residents would begin to evacuate. That is, permanent resident households would begin to evacuate between 15 and 180 minutes after the decision to notify the population to evacuate is made. Based on estimated warning diffusion and survey results from EPZ residents, during a weekday, 50 percent would depart within 75 minutes, 90 percent within 1 10 minutes, and 99 percent within 180 minutes. At night, with most household members at home, 50 percent would depart within 60 minutes, 90 percent within 95 minutes, and 99 percent within 165 minutes. These time profiles are generally consistent with observed behavior during evacuations for chemical releases.

5.4.2 Transient Population It was assumed that the work force would be subject to the same warning diffusion as the general public. Based on estimated warning diffusion and survey results from EPZ residents, it was estimated that 50 percent of the work force would evacuate within 40 minutes following the decision to evacuate, 90 percent within 65 minutes, and 99 percent within 1 05 minutes. For a few facilities, it may be necessary for a limited number of workers to remain on the job in order to safely shut down processes, secure the facility or maintain essential operations. The evacuation time estimates do not address those workers who remain behind, since there is no reliable basis for predicting whether or how soon they will evacuate. The assumption that all workers evacuate provides a conservative estimate of vehicle demand.

Discussions with emergency preparedness officials indicate that the same time distribution is also reasonable for the other transient population categories within the EPZ, including motels and recreation areas.

5-5 Evacuation Time Estimates Exelon Generation Dresden Station 5.4.3 Special Facilities It was assumed that special facilities (i.e., schools, nursing homes) within the EPZ would also receive initial notification promptly. Based upon data obtained from previous studies, vehicle departure times were developed that reflect a distribution of notification, preparation and mobilization times.

Consistent with the current off-site emergency response plans, it was assumed that schools will be evacuated via bus to the designated host schools. For school facilities, it was assumed that up to 2 hours2.314815e-5 days <br />5.555556e-4 hours <br />3.306878e-6 weeks <br />7.61e-7 months <br /> may be required to assemble buses, transport vehicles to schools and to load students onto buses. Vehicles stationed at the facilities at the time of the ordered evacuation could be loaded in as little as 15 minutes following notification. Accordingly, 50 percent of school buses depart onto the evacuation network during the period between 15 and 75 minutes, 90 percent by 135 minutes, and 99 percent by 180 minutes. The school profile was also applied for daycare facilities.

Evacuation of nursing home facilities would also require additional time associated with preparation and transport of vehicles to the respective facilities. Based upon previous studies, it was assumed that these facilities would begin to evacuate between 30 minutes and 3 hours3.472222e-5 days <br />8.333333e-4 hours <br />4.960317e-6 weeks <br />1.1415e-6 months <br /> following notification. The first 50 percent will depart within 90 minutes, 90 percent within 150 minutes, and 99 percent within 165 minutes.

5-6 Evacuation Time Estimates Exelon Generation Dresden Station Figure 5-1. Departure Time Distributions for the Dresden Station EPZ 5.5 Evacuation Simulation Traffic simulation provides the ability to analyze evacuation of an area in great detail. In most traffic simulation models, there are two main inputs: supply (roadway) network data and demand (population and vehicular) data. Traffic models use different types of algorithms to predict traffic flow and provide measures of effectiveness (MOEs) such as average travel times, total number of vehicles exiting the system, and queue lengths at various times and points.

5.5.1 General Structure ARCADIS used PTV Vision to perform evacuation modeling for different scenarios. The PTV Vision traffic simulation software package includes VISSIM (microscopic traffic simulation) and VISUM (macroscopic traffic simulation). VISUM is a comprehensive, flexible software system for transportation planning, travel demand modeling, and network data management. VISSIM is capable of performing detailed microscopic simulation of traffic, public transport, and pedestrian simulations, and can model any type of traffic control and geometric configuration. Both VISUM and VISSIM are capable of performing multi

-modal analysis including car, commercial vehicle, bus, 00.20.4 0.6 0.8 1 0 50100150200cumulative fraction departed time (minutes)

Departure times - Dresden EPZ resident dayresident nightworkerschoolsspecialtransit depend 5-7 Evacuation Time Estimates Exelon Generation Dresden Station train, motorcycles, bicycles, and pedestrians. The two programs work together seamlessly, saving valuable time and resources.

Figure 5-2. Evacuation Modeling and Simulation using PTV Vision Suite VISUM was used to develop the evacuation network and population entry nodes (centroids). One of the key features of VISUM is its ability to interact seamlessly with GIS-data such as ESRI ArcGIS database. The field verified evacuation network data and demand data developed in ArcGIS were imported directly into VISUM. Origin

-Destination trip tables were developed for the evacuation and imported into VISUM. VISUM software was then used to route the Origin

-Destination information on the network using a dynamic equilibrium algorithm. This algorithm ensured that traffic levels on the network were realistic given the capacities available on individual links. Once an initial solution was found in VISUM, the information was exported into VISSIM for microsimulation. A mi crosimulation was deemed a necessary step in order to obtain detailed and realistic results on queuing and average travel times. VISSIM can model intersection with different type of traffic control such as yield signs, stop signs, and signals. VISSIM also provides a better understating of critical and congested part of the network. 5.5.2 Simulation Process The ETE results include the time to evacuate 90 percent and 100 percent of the total permanent and transient population. Based on the current guidance, ETEs for special 5-8 Evacuation Time Estimates Exelon Generation Dresden Station facilities, schools, and the transit dependent population are developed separately; only the time to evacuate 100 percent of these population groups was needed.

Consistent with current guidance, vehicle demand for each scenario was based on 100 percent of the population residing in areas designated for evacuation, plus 20 percent of the population residing in Sub

-Areas outside the designated evacuation area, and 20 percent of the population residing outside of the EPZ, out to a distance of 15 miles. Vehicle demand outside of the designated evacuation area is intended to account for the impact of "shadow evacuees". A sensitivity analysis was performed to evaluate the impact of changes different input parameters and assumptions such as changes in lane closures, trip generation times, vehicular demand, evacuation routes, and background traffic.

The simulation process can be summarized as follows:

VISUM 1. Create every scenario based on

a. Background traffic

b. Time of day

c. Day of week

d. Weather condition

e. Season f. Wind Direction

g. Shadow traffic

2. Run Dynamic Traffic Assign to and calculate Permanent and Transient, Shadow, Special Needs/Schools volumes

3. Assignment process will last until suitable convergence is reached. VISUM provides output on the goodness of convergence after assignment. The convergence fit is not as critical because this is an evacuation model of a no

-notice event, therefore full user equilibrium cannot be expected.

4. Export to VISSIM.

VISSIM 1. Warm-up time built into background/pass

-through traffic generation.

5-9 Evacuation Time Estimates Exelon Generation Dresden Station

2. Check for any local calibration parameters.

3. Run the final multimodal Dynamic Traffic Assignment in VISSIM to consider queues and intersection delays

4. Sensitivity analysis and count evacuees at 2, 5, and 10 miles

5. Prepare ETE times MOEs 1. 90 percent evacuation time (for all wind directions and scenarios, staged and normal evacuations)

a. This applies to evacuation of the PUBLIC only

2. 100 percent evacuation time (for all wind directions and scenarios, stage and normal evacuations)

3. Color-coded roadway map at various times (2, 4, 6 hrs) which identifies where long queues exist, including LOS E and F conditions.

6-1 Exelon Generation Dresden Station Evacuation Time Estimates

6. Analysis of Evacuation Times 6.1 Evacuation Time Estimate Summary Predicted ETEs for the general population in the EPZ are summarized by scenario and distance in Table 6

-1 (times for 90 percent and 100 percent of vehicles to depart, for 2

-mile zones, all zones to 5 miles, and all zones to 10 miles). The pattern of evacuatio n times is consistent with the differences in vehicle demand and travel time for different scenarios. The 2

-mile zone involves the shortest travel distance and the fewest vehicles; 90 percent ETEs for the 2

-mile zone range from 2:35 to 4:20, and 100 percent ETEs are 3:30 to 5:30. The times are longest for summer weekday and winter weekday scenarios with adverse weather.

For all zones out to 5 miles, the 90 percent ETEs are 4:5 5 to 6:1 5, and the 100 percent ETEs are 6:25 to 7:25. For the full EPZ, the 90 percent ETEs are 4:30 to 6:35, while the 100 percent ETEs are 8:45 to 10:00.

All of these times are indicative of significant delays related to traffic congestion. The large difference between 90 percent and 100 percent ETEs for the full EPZ cases reflects the time required for traffic to clear on a few congested evacuation routes. The differences in ETEs are consistent with differences in vehicle demand between scenarios. Adverse weather adds up to 50 minutes for the summer weekday ETEs, and up to 80 minutes for the winter weekday ETEs. 6.2 Comparison with Previous Study The 90 percent ETEs for the current study are longer than the 100 percent ETEs from the 2003 study. Vehicle demand for the full EPZ for the current study (78,362 for Summer Weekday) is 77 percent higher th an vehicle demand from 2003 (44,223) summer day).

The new 90 percent ETE (with normal weather) is 4:35, compared to the 1 00 percent ETE of 3:35 (215 minutes) in 2003. The lower vehicle occupancy for the residential population is the biggest factor leading to higher vehicle demand and longer ETEs. The current ETEs also reflect the addition of background traffic and longer departure times (based on the survey of resident s), particularly for the last 5 to 10 percent of the population. 6.3 Keyhole Evacuation Scenarios ETEs for scenarios that reflect the current range of Protective Action Recommendation (PAR) scenarios to evacuate the near

-field population and selected downwind zones are summarized in Table 6

-2. All of the 2

-mile zone and 5

-mile downwind PAR 6-2 Exelon Generation Dresden Station Evacuation Time Estimates scenarios have very similar ETEs. These results reflect the strong influence of the relatively large population in ERPA 1, a 2

-mile zone that is common to all PAR scenarios. The PAR scenarios for 5

-mile zone plus downwind 10

-mile sector again are all very similar. A number of the 10

-mile zones have large enough population density to produce significant traffic congestion. 6.4 Staged Evacuation Scenarios A series of staged evacuation scenarios were evaluated based on NRC guidance (CR

-7002). In a staged evacuation, the 2

-mile zone evacuates first, while surrounding zones shelter in place; after the population has evacuated the 2

-mile zone, the outer zones would be instructed to evacuate. The "stage 1" time is determined by simulating evacuation of the 2

-mile zone for the Winter Weekday, Normal Weather scenario, with only background and shadow traffic in other parts of the EPZ. Once the Stage 1 time (3:00) was determined, a revised set of departure curves was developed for the outer (Stage 2) zones. The Stage 2 departure curves for Dresden are shown in Figure 6

-1. The departure curves are much steeper at the beginning of Stage 2, because people are able to return home and prepare to depart during Stage 1. Similarly, schools and nursing homes can bring resources on

-site in preparation to evacuate.

Results for staged evacuation scenarios are summarized in Table 6

-3. T he 90 percent ETEs for the staged scenarios are consistently longer by 20 to 30 minutes than the corresponding "unstaged" ETEs. The 100 percent ETEs generally did not change significantly. The 100 percent times are controlled by congestion that persists long beyond the time when additional vehicles are departing to evacuate, with or without staged departure. The modeled results indicate that staged evacuation for Dresden would result in little or no benefit, in terms of the time required to evacuate the 2-mile zone, and relatively little penalty, in terms of increased ETEs for the zones which would initially be ordered to shelter.

6.5 Sensitivity to Population Growth and Roadway Impact 6.5.1 Population Growth NRC guidance (CR

-7002) for updating ETE studies more frequently than the 10

-year federal census includes criteria based on population growth. Specifically, if the residential population growth in the EPZ since the last ETE update is sufficient to cause an increase in the ETE by 25 percent or by 30 minutes, whichever is less, then a full ETE update study must be performed.

6-3 Exelon Generation Dresden Station Evacuation Time Estimates A sensitivity analysis was performed by determining the 90 percent ETEs for increases of 5, 10, and 15 percent of the EPZ residential population for the Winter Weekday, Normal Weather scenario. This scenario produced the longest ETE by season or time of day. The population was increased in the same manner in the surrounding region, out to 15 miles. Results are illustrated in Figure 6

-2. With a 10 percent increase in residential population above the 2010 census values, the 90 percent ETE for the full EPZ increased to 5: 33, an increase of 18 minutes. With a 15 percent increase in population, the 90 percent ETE increased to 5: 46, an increase of 31 minutes. These results demonstrate that a population increase of more than 10 percent above the 2010 census values would be required to cause the ETE to increase by 30 minutes. (Linear extrapolation indicates that a population increase of just under 15 percent would produce an ETE increase of approximately 30 minutes.) Since the EPZ residential population for Dresden changed by 51 percent between 2000 and 2010, it appears likely that an increase of 15 percent will occur before 2020.

The 100 percent ETEs increased more slowly than the 90 percent ETEs. With a 10 percent increase in population, the 100 percent ETE for the full EPZ increased by only 9 minutes, from 9: 00 to 9: 09. NRC guidance (CR

-7002) indicates that emergency planning decisions should be based on the 90 percent ETEs. The recommended "update threshold" for the Dresden EPZ, based on population growth, is therefore 10 percent. 6.5.2 Roadway Impact NRC guidance (CR

-7002) also requires analysis of a "roadway impact" scenario. For this scenario, a major evacuation route is removed or reduced in capacity. Specifically, one of the 5 highest volume roadways is removed from service, or capacity is reduced by one lane (for a multi

-lane, limited

-access roadway such as an interstate highway). This scenario is specified as Summer Weekday, Normal Weather for the Full EPZ. For Dresden, the five highest

-volume roadways for this scenario are listed below:

I-80 eastbound (Joliet) - 7, 750 vehicles US 6 northeast - 6,3 00 vehicles SR 113 southeast - 3, 800 vehicles I-55 northbound - 3, 000 vehicles SR 53 northbound - 2, 900 vehicles 6-4 Exelon Generation Dresden Station Evacuation Time Estimates Since the highest volume roadway was a multi

-lane highway (I

-80 eastbound), the roadway impact tested was a closure of one lane of the highway. The lane closure did not cause significant re

-routing of evacuees compared to the summer day scenario with no lane closure. The impact location is shown in Figure 6

-3. With the lane closure in place, the ETEs increased slightly from 4: 35 (90 percent) and 9: 00 (100 percent) to 4: 41 (90 percent) and 9: 00 (100 percent). Note that the increase ETEs are due to the bottleneck queue generated by the lane closure rather than evacuees taking alternate routes to avoid the queue. The traffic flow by link for the roadway impact scenario is also shown in Figure 6

-3. 6.6 Performance Metrics for Simulation Model The performance of VISSIM is assessed using standard metrics, consistent with the guidance provided in CR

-7002. Table 6

-4 provides a summary of simulation parameters for Winter Day Normal Weather scenario for the full EPZ. Figure 6-4 illustrates the number of vehicles on the network over the course of the simulation, while Figure 6-5 compares the rate of vehicles loading onto the network to the frequency of departures.

Both of these figures indicate that the rate of vehicles exiting the EPZ keeps pace with the rate of departures for the first several hours, but then declines as most remaining vehicles encounter queuing and congestion. The parameters in Table 6

-4 include an average travel speed for evacuating vehicles of 20.65 miles per hour, which indicates that traffic is encountering significant congestion during much of the simulation.

The average travel time of 8.4 hours4.62963e-5 days <br />0.00111 hours <br />6.613757e-6 weeks <br />1.522e-6 months <br /> reflects travel to the designated reception centers, rather than the travel time to exit the EPZ.

6.7 ETE for Transit Dependent Special Facilities and Schools The ETE for transit dependent members of the general public is estimated based on the assumption of two sequential set of bus runs from Channahon, Morris, Shorewood and Joliet. The first run would begin 90 minutes after the evacuation notice, allowing time for evacuees to prepare and to travel to designated pickup points. The time sequence would then proceed in the following steps:

30 minutes for the bus to traverse up to ten pickup points (2 miles) and load passengers (2:00) 40 minutes to travel out to reception center (8 miles @ 12 mph), 10 minutes to unload, 10 minutes to return (3:00)

Repeat pickup (30 min) and travel out of EPZ (20 min). TOTAL = 3:50

6-5 Exelon Generation Dresden Station Evacuation Time Estimates Estimated evacuation times for special facilities, schools and daycares located in the EPZ are summarized in Tables 6

-5 and 6-6. These times are shorter than the 90 percent and 100 percent ETEs for the general population. Facility

-specific estimates are based on a three

-step time sequence: (1) mobilization, (2) loading, and (3) travel out of the EPZ. Mobilization and loading times are generally the largest components.

At nursing homes and assisted living facilities, each vehicle will require about 10 minutes to load, with two vehicles loading simultaneously. While some school buses may mobilize more quickly depending on specific local circumstances, it will generally require on the order of 120 minutes to contact drivers, provide them with instructions and deploy them to assigned schools. For travel time, average speeds were estimated for the anticipated evacuation route, based on the traffic simulation for the Winter Day scenario. The simplified stepwise methodology used to determine these estimates provides a typical evacuation time, rather than an upper bound 90 percent or 100 percent value.

6-6 Exelon Generation Dresden Station Evacuation Time Estimates Table 6-1: Evacuation Time Estimate Summary for Dresden Station EPZ Summer Winter Midweek Daytime Weekend Daytime Evening Midweek Daytime Weekend Daytime Evening Affected ERPAs Scenario: (1) (2) (3) (4) (5) (6) (7) (8) Weather: Normal Adverse Normal Normal Normal Adverse Normal Normal 90 Percent Evacuation of Affected Areas 1,3,4 2-mile Zone 2:55 3:45 2:35 2:35 3:00 4:20 2:35 2:35 1,3,4,7,9,12 5-mile Zone 4:55 5:45 5:25 5:50 4:55 6:15 5:50 5:55 ALL 10-mile EPZ 4:35 5:25 4:30 4:45 5:15 6:35 4:45 5:10 1,3,4 2-mile Zone 4:30 5:10 3:30 3:30 4:30 5:30 3:30 3:30 1,3,4,7,9,12 5-mile Zone 6:30 7:10 6:45 7:05 6:25 7:25 7:05 7:05 ALL 10-mile EPZ 9:00 9:40 9:00 8:55 9:00 10:00 8:45 9:00 6-7 Exelon Generation Dresden Station Evacuation Time Estimates Table 6-2: Evacuation Time Estimates for Partial EPZ Scenarios (unstaged)

(a) 2-mile zone plus 5

-mile downwind (90 percent ETE)

Summer Winter Midweek Daytime Weekend Daytime Evening Midweek Daytime Weekend Daytime Evening Affected ERPAs Scenario: (1) (2) (3) (4) (5) (6) (7) (8) Weather: Normal Adverse Normal Normal Normal Adverse Normal Normal 90 Percent Evacuation of 2

-Mile Zone and 5 Miles Downwind 1,3,4,7,9 N,NNW 5:00 5:40 4:30 4:40 5:00 6:00 5:15 5:05 1,3,4,7 NNE,NE 4:50 5:30 4:20 4:30 5:00 6:00 5:15 5:05 1,3,4 ENE-SSE 5:05 5:30 5:05 5:20 5:15 6:00 5:10 5:10 1,3,4,12 S-WSW 4:40 5:20 4:10 4:20 4:30 5:30 4:45 4:35 1,3,4,12,15 W 4:40 5:20 4:10 4:20 4:30 5:30 4:45 4:35 1,3,4,9,12,15 WNW 4:40 5:20 4:10 4:20 4:30 5:30 4:45 4:35 1,3,4,7,9,15 NW 5:00 5:40 4:30 4:40 5:00 6:00 5:15 5:05 100 Percent Evacuation of 2

-Mile Zone and 5 Miles Downwind 1,3,4,7,9 N,NNW 6:10 6:50 5:40 5:50 6:10 7:10 5:50 5:40 1,3,4,7 NNE,NE 6:00 6:40 5:30 5:40 6:10 7:10 5:50 5:40 1,3,4 ENE-SSE 6:00 6:40 5:45 5:50 6:10 7:10 5:35 5:30 1,3,4,12 S-WSW 5:50 6:30 5:20 5:30 5:40 6:40 5:20 5:10 1,3,4,12,15 W 5:50 6:30 5:20 5:30 5:40 6:40 5:20 5:10 1,3,4,9,12,15 WNW 5:50 6:30 5:20 5:30 5:40 6:40 5:20 5:10 1,3,4,7,9,15 NW 6:10 6:50 5:40 5:50 6:10 7:10 5:50 5:40 6-8 Exelon Generation Dresden Station Evacuation Time Estimates (b) 5-mile zone plus 10

-mile downwind (90 percent ETE)

Summer Winter Midweek Daytime Weekend Daytime Evening Midweek Daytime Weekend Daytime Evening Affected ERPAs Scenario: (1) (2) (3) (4) (5) (6) (7) (8) Weather: Normal Adverse Normal Normal Normal Adverse Normal Normal 90 Percent Evacuation of 5

-Mile Zone and 10 Miles Downwind 1,3,4,7,9,10,11,12,15,16 N,NNW 4:40 5:20 4:20 4:20 4:40 5:40 4:20 4:30 1,3,4,7,8,9,10,11,12,16 NNE 4:40 5:20 4:20 4:20 4:40 5:40 4:20 4:30 1,3,4,5,7,8,9,11,12 NE 4:40 5:20 4:20 4:20 4:40 5:40 4:20 4:30 1,2,3,4,5,7,8,9,12 ENE 4:40 5:20 4:20 4:20 4:40 5:40 4:20 4:30 1,2,3,4,5,6,7,8,9,12 E 4:40 5:20 4:20 4:20 4:40 5:40 4:20 4:30 1,2,3,4,5,6,7,9,12 ESE 4:40 5:20 4:20 4:20 4:40 5:40 4:20 4:30 1,2,3,4,6,7,9,12 SE 4:40 5:20 4:20 4:20 4:40 5:40 4:20 4:30 1,3,4,6,7,9,12,13 SSE,S 4:30 5:10 4:10 4:10 4:40 5:40 4:20 4:30 1,3,4,6,7,9,12,13,14 SSW 4:30 5:10 4:10 4:10 4:40 5:40 4:20 4:30 1,3,4,7,9,12,13,14 SW 4:30 5:10 4:10 4:10 4:40 5:40 4:20 4:30 1,3,4,7,9,12,13,14,15 WSW 4:30 5:10 4:10 4:10 4:40 5:40 4:20 4:30 1,3,4,7,9,12,14,15 W,WNW 4:40 5:20 4:20 4:20 4:40 5:40 4:20 4:30 1,3,4,7,9,12,15,16 NW 4:40 5:20 4:20 4:20 4:40 5:40 4:20 4:30 6-9 Exelon Generation Dresden Station Evacuation Time Estimates (c) 5-mile zone plus 10-mile downwind (100 percent ETE)

Summer Winter Midweek Daytime Weekend Daytime Evening Midweek Daytime Weekend Daytime Evening Affected ERPAs Scenario: (1) (2) (3) (4) (5) (6) (7) (8) Weather: Normal Adverse Normal Normal Normal Adverse Normal Normal 100 Percent Evacuation of 5

-Mile Zone and 10 Miles Downwind 1,3,4,7,9,10,11,12,15,16 N,NNW 9:00 9:40 8:40 8:40 9:00 10:00 8:40 8:50 1,3,4,7,8,9,10,11,12,16 NNE 9:00 9:40 8:40 8:40 9:00 10:00 8:40 8:50 1,3,4,5,7,8,9,11,12 NE 9:00 9:40 8:40 8:40 9:00 10:00 8:40 8:50 1,2,3,4,5,7,8,9,12 ENE 9:00 9:40 8:40 8:40 9:00 10:00 8:40 8:50 1,2,3,4,5,6,7,8,9,12 E 9:00 9:40 8:40 8:40 9:00 10:00 8:40 8:50 1,2,3,4,5,6,7,9,12 ESE 9:00 9:40 8:40 8:40 9:00 10:00 8:40 8:50 1,2,3,4,6,7,9,12 SE 9:00 9:40 8:40 8:40 9:00 10:00 8:40 8:50 1,3,4,6,7,9,12,13 SSE,S 8:50 9:30 8:30 8:30 9:00 10:00 8:40 8:50 1,3,4,6,7,9,12,13,14 SSW 8:50 9:30 8:30 8:30 9:00 10:00 8:40 8:50 1,3,4,7,9,12,13,14 SW 8:50 9:30 8:30 8:30 9:00 10:00 8:40 8:50 1,3,4,7,9,12,13,14,15 WSW 8:50 9:30 8:30 8:30 9:00 10:00 8:40 8:50 1,3,4,7,9,12,14,15 W,WNW 9:00 9:40 8:40 8:40 9:00 10:00 8:40 8:50 1,3,4,7,9,12,15,16 NW 9:00 9:40 8:40 8:40 9:00 10:00 8:40 8:50 6-10 Exelon Generation Dresden Station Evacuation Time Estimates Table 6-3: Evacuation Time Estimates for Partial EPZ Scenarios (staged)

Summer Winter Midweek Daytime Weekend Daytime Evening Midweek Daytime Weekend Daytime Evening Affected ERPAs Scenario: (1) (2) (3) (4) (5) (6) (7) (8) Weather: Normal Adverse Normal Normal Normal Adverse Normal Normal 90 Percent Evacuation of 2

-Mile Zone, then 5 Miles Downwind STAGED 1,3,4,7,9 N,NNW 5:45 6:25 5:15 5:25 5:45 6:45 6:00 5:50 1,3,4,7 NNE,NE 5:35 6:15 5:05 5:15 5:45 6:45 6:00 5:50 1,3,4 ENE-SSE* 5:05 6:15 5:05 5:20 5:15 6:45 5:10 5:10 1,3,4,12 S-WSW 5:25 6:05 4:55 5:05 5:15 6:15 5:30 5:20 1,3,4,12,15 W 5:25 6:05 4:55 5:05 5:15 6:15 5:30 5:20 1,3,4,9,12,15 WNW 5:25 6:05 4:55 5:05 5:15 6:15 5:30 5:20 1,3,4,7,9,15 NW 5:45 6:25 5:15 5:25 5:45 6:45 6:00 5:50 100 Percent Evacuation of 2-Mile Zone, then 5 Miles Downwind STAGED 1,3,4,7,9 N,NNW 6:35 7:15 6:05 6:15 6:35 7:35 6:15 6:05 1,3,4,7 NNE,NE 6:25 7:05 5:55 6:05 6:35 7:35 6:15 6:05 1,3,4 ENE-SSE* 6:00 7:05 5:45 5:50 6:10 7:35 5:35 5:30 1,3,4,12 S-WSW 6:15 6:55 5:45 5:55 6:05 7:05 5:45 5:35 1,3,4,12,15 W 6:15 6:55 5:45 5:55 6:05 7:05 5:45 5:35 1,3,4,9,12,15 WNW 6:15 6:55 5:45 5:55 6:05 7:05 5:45 5:35 1,3,4,7,9,15 NW 6:35 7:15 6:05 6:15 6:35 7:35 6:15 6:05 6-11 Exelon Generation Dresden Station Evacuation Time Estimates Figure 6-1. Departure Curves for Stage 2 Zones, Dresden EPZ 00.20.4 0.6 0.8 1 0 50100150200250cumulative fraction departed time (minutes)

Departure times - Dresden EPZ resident dayresident nightworkerschoolsspecialtransit depend 6-12 Exelon Generation Dresden Station Evacuation Time Estimates Figure 6-2. Dresden Sensitivity of ETE to Population Growth (Winter Weekday, Normal Weather, Full EPZ) y = 0.1417x + 0.2182 R² = 0.9909 5:105:15 5:20 5:25 5:30 5:35 5:40 5:45 5:50 0%5%10%15%20%90% ETE Pop Increase %

Dresden -- Population Growth vs ETE (Full EPZ) 10mileUpperLinear (10mile) 6-13 Exelon Generation Dresden Station Evacuation Time Estimates Figure 6-3. Dresden Predicted Traffic Volume by Link with I

-80 EB Link Removed (Summer Weekday, Normal Weather, Full EPZ)

6-14 Exelon Generation Dresden Station Evacuation Time Estimates Figure 6-4. Time Distribution of Vehicles on the Network (Full 10

-mile EPZ, Winter Weekday, Normal Weather) 0 2 4

6 8 10 12 14 16 18 20 1 2 3 4 5 6 7 8 9Number of Vehicles per Hour Thousands Simulation Hour Evacuation Vehicles by Hour Crossing EPZ Boundary Fair Weather, Winter Day, Full EPZ Scenario 2-mile5-mile10-mile 10-mile: 90% ETE = 5:15, 100% = 9:00

6-15 Exelon Generation Dresden Station Evacuation Time Estimates Figure 6-5. Comparison of Vehicle Mobilization and Depa rture Rates (total vehicles 74,681) 0%10%

20%

30%

40%

50%

60%

70%

80%

90%

100%0 10 20 30 40 50 60 70 0100200300400500600# of Vehicles Thousands Time after Evacuation Order Issued (min)

Mobilization and Cumulative EPZ Evacuation ScreenlineMobilization 6-16 Exelon Generation Dresden Station Evacuation Time Estimates Table 6-4: Summary of Network Performance (Full 10

-mile EPZ, Winter Weekday, Normal Weather) Network Parameter All Vehicles BG/Shadow Evacuation Avg Delay (s) 9, 995 2, 861 12 , 565 Avg Stop Delay (s) 4, 399 1, 476 5, 452 Avg # of Stops 1, 965 466 2, 505 Avg Speed (mph) 21.67 29.19 20.65 Avg Travel Time (hr) 6.51 2.42 8.44 # of Completed Trips 63,142 20,236 42,906 6-17 Exelon Generation Dresden Station Evacuation Time Estimates Table 6-5: ETE for Special Facilities, Dresden Station EPZ (Full 10

-mile EPZ, Winter Weekday, Normal Weather)

Facility Population Vehicles Mobilization Time (min)

Loading Time (min) Distance to EPZ Boundary (mi) Outbound Travel Speed (mph) Travel Time to EPZ Boundary (min) ETE (min) # Type Morris Hospital 539 12 Amb/Van 120 60 5.5 58.10 6 186 Walnut Grove Health Care 183 12 Amb/Van 90 30 5.5 58.10 6 126 Morris Healthcare & Rehab Center 202 14 Amb/Van 90 30 5.5 58.10 6 126 Illinois Valley Industries 75 3 Amb/Van 90 30 5.5 58.10 6 126 Cambridge Home 10 1 Amb/Van 60 15 5.5 51.30 6 81 Troy Twp Sr Citizens Ctr 28 2 Amb/Van 60 15 5.5 51.30 6 81 Timbers of Shorewood 125 5 Amb/Van 60 15 1 51.30 1 76 Liberty Place (Cherokee Ridge) 10 1 Amb/Van 60 15 9.5 50.09 11 86 Park Place (Channahon) 11 1 Amb/Van 60 15 9.5 50.09 11 86 Embassy Care Center 232 8 Amb/Van 90 30 1.5 41.25 2 122 6-18 Exelon Generation Dresden Station Evacuation Time Estimates Table 6-6: ETE for School s in Dresden Station EPZ (Full 10

-mile EPZ, Winter Weekday, Normal Weather)

Facility Population Vehicles Mobilization Time (min) Loading Time (min) Distance to EPZ Boundary (mi) Outbound Travel Speed (mph) Travel Time to EPZ Boundary (min) ETE (min) # Type Minooka Elementary School 674 11 Bus 120 60 10 59.19 10 190 Minooka Intermediate 932 15 Bus 120 60 9.5 59.19 10 190 Minooka Jr High School 1 , 007 16 Bus 120 60 9 59.19 9 189 Minooka Sr High School 2 , 746 45 Bus 120 60 9 59.19 9 189 Minooka Primary (PK

-K) 367 6 Bus 120 60 9 59.19 9 189 Aux Sable Elementary 709 12 Bus 120 60 11 59.19 11 191 Saratoga Elementary 847 14 Bus 120 60 4.5 58.10 5 185 Grundy Area Voc. School 639 10 Bus 120 60 5.5 58.10 6 186 Immaculate Conception Sch.

242 4 Bus 120 60 5.5 58.10 6 186 Morris High School 1 , 059 17 Bus 120 60 5.5 58.10 6 186 Shabbona Middle School 412 7 Bus 120 60 5.5 58.10 6 186 White Oak Elementary 936 15 Bus 120 60 5.5 58.10 6 186 Braceville Elementary 196 3 Bus 120 60 2.5 33.00 5 185 Coal City Elementary 364 6 Bus 120 60 4 39.51 6 186 Coal City High School 724 12 Bus 120 60 4 39.51 6 186 Coal City Intermediate 350 6 Bus 120 60 4 39.51 6 186 Coal City Middle School 542 9 Bus 120 60 4.5 39.51 7 187 Coal City Early Childhood 390 6 Bus 120 60 4.5 39.51 7 187 Channahon Jr High 430 7 Bus 120 60 9.5 50.09 11 191 NB Galloway Elementary 560 9 Bus 120 60 9.5 50.09 11 191 Three Rivers School 423 7 Bus 120 60 9.5 50.09 11 191 6-19 Exelon Generation Dresden Station Evacuation Time Estimates Table 6-6: ETE for School s in Dresden Station EPZ (Full 10

-mile EPZ, Winter Weekday, Normal Weather)

Facility Population Vehicles Mobilization Time (min) Loading Time (min) Distance to EPZ Boundary (mi) Outbound Travel Speed (mph) Travel Time to EPZ Boundary (min) ETE (min) # Type Pioneer Path School 343 6 Bus 120 60 9.5 50.09 11 191 Heritage Trail School 560 9 Bus 120 60 1.5 39.83 2 182 Troy Craughwell School 570 9 Bus 120 60 1.5 39.83 2 182 Crossroads Elementary 668 11 Bus 120 60 1 25.52 2 182 Holy Family School 376 6 Bus 120 60 1 25.52 2 182 Joliet Christian School 88 1 Bus 60 15 1.5 25.52 4 79 Shorewood Elementary 572 9 Bus 120 60 5.5 51.30 6 186 Troy Middle School 994 16 Bus 120 60 2 39.83 3 183 Oremic Intermediate School 1 , 067 17 Bus 120 60 5.5 51.30 6 186 Hofer Elementary 462 8 Bus 120 60 5.5 51.30 6 186 Trinity Christian School + Pre 602 10 Bus 120 60 1.5 25.52 4 184 Lewis University 53 0 Bus 60 15 5.5 51.30 6 81 Walnut Trails Elementary 546 9 Bus 120 60 5.5 51.30 6 186 Elwood Community Consol.

482 8 Bus 120 60 3 48.26 4 184 Bruning Elementary 279 5 Bus 120 60 1.5 41.25 2 182 LJ Stevens Middle School 444 7 Bus 120 60 1.5 41.25 2 182 Trinity Services 28 0 Bus 60 15 1.5 41.25 2 77 Wilmington High School 527 9 Bus 120 60 1.5 41.25 2 182 St Rose School 160 3 Bus 90 30 1.5 41.25 2 122 Reed Custer Intermediate 564 9 Bus 120 60 3 39.51 5 185 Reed Custer High School 661 11 Bus 120 60 3 39.51 5 185 7-1 Exelon Generation Dresden Station Evacuation Time Estimates

7. Traffic Control and Evacuation Confirmation 7.1 General Evacuation simulation results have been reviewed to assess access control locations, traffic management locations and recommendations for the Dresden Station EPZ. Traffic control plans for each county were reviewed to confirm that traffic management will be implemented at key intersections on all designated evacuation routes. Predicted queuing at high

-volume intersections is summarized in Table 7

-1. Only three of those intersections are located inside the EPZ. (Volume increases as traffic flows downstream, since the traffic is directed to a small number of reception centers.) The average queue length is significant (240 feet) at one signalized intersection in Channahon. The longest average queue (460 feet) is predicted at a signalized intersection outside of the EPZ in Joliet.

Another perspective on predicted traffic flow is provided in Appendix D by the maps of average travel speed by hour on road network links. These maps illustrate the slow travel during the first three hours in populated areas, as departing traffic converges on major evacuation routes. During hours 4 and 5, after most vehicles have initiated evacuation, congestion persists and intensifies on roadways in the area west of Joliet, with smaller pockets of slow travel around Wilmington and Morris.

7.1 Evacuation Access Control Locations Access control measures were not specifically addressed in the conduct of this study.

Background traffic within the EPZ was not found to be a significant contributor to traffic congestion during the early stages of evacuation.

7.2 Traffic Management Locations and Tactics to Facilitate Evacuation The traffic simulation results for Dres den indicate that traffic flow may encounter significant congestion inside the EPZ. The traffic flow maps provided in Appendix D and the data in Table 7

-1 indicate one signalized intersection on U.S. 6 in Channahon where major queuing is predicted, and a second intersection outside the EPZ in south Joliet. These locations warrant attention to assess whether routing alternatives or proactive traffic management could achieve significant reduction in ETEs.

7-2 Exelon Generation Dresden Station Evacuation Time Estimates Table 7-1: Predicted Queues at High

-Volume Intersections on the Road Network Intersection Name City/Town EPZ (IN or OUT)

Control Type Average Queue (f ee t) Volume S LaGrange Ave (US 45) & 179th St Orland Hills OUT Signalized 77.43 34 , 102 I-80 EB merge with Raymond Ave Joliet OUT Uncontrolled 172.74 18 , 364 I-80 EB exit to IL 53 Joliet OUT Uncontrolled 173.10 18 , 322 I-80 EB exit ramp & Richards St Joliet OUT Signalized

<20 18 , 132 I-80 WB exit

& S. LaGrange Rd (US 45)

Mokena OUT Signalized

<20 17 , 644 I-55 SB entrance from IL 47 Dwight OUT Uncontrolled

<20 16 , 348 I-55 SB exit ramp & W Mazon Ave Dwight OUT Two-way stop <20 16 , 338 I-80 EB entrance from Richards St Joliet OUT Uncontrolled

<20 16 , 080 I-80 EB exit ramp & S Briggs St Joliet OUT Signalized 460.24 15 , 946 Channahon Rd (US 6) & Empress Rd Channahon IN Signalized

<20 15 , 136 I-80 EB entrance from S Briggs St Joliet OUT Uncontrolled

<20 14 , 914 I-80 EB exit ramp & Lincoln Hwy (US 30)

Joliet OUT Signalized 140.19 14 , 912 I-57 SB exit ramp & IL 50 Kankakee OUT Signalized

<20 14 , 504 I-80 EB exit ramp & S LaGrange Rd (US 45)

Mokena OUT Signalized 74.77 14 , 160 I-80 EB entrance from Empress/Houbolt Rd Channahon IN Uncontrolled

<20 14 , 142 I-80 EB exit to S Larkin Ave (IL 7)

Joliet OUT Uncontrolled 113.71 14 , 126 I-55 SB exit ramp & E Prairie St Odell OUT Two-way stop <20 13 , 972 I-55 SB entrance from IL 53 Gardner OUT Two-way yield <20 13 , 084 Channahon Rd (US 6) & McClintock Rd Channahon IN Signalized 238.91 12 , 848 E/W Jeffery St & Southeast Ave Kankakee OUT All-way stop 202.36 12 , 752 8-1 Evacuation Time Estimates Exelon Generation Dresden Station

8. References Earth Tech, 2003:

Evacuation Time Estimates for the Dresden Station Plume Exposure Pathway Emergency Planning Zone, prepared by Earth Tech, Inc. for Exelon Nuclear, December 2003.

NRC, 1980: 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, U.S. Nuclear Regulatory Commission, Federal Emergency Management Agency, November 1980.

NRC, 1992:

State of the Art in Evacuation Time Estimate Studies for Nuclear Power Plants, NUREG/CR-4831, T. E. Urbanik and J. D. Jamison, Pacific Northwest Laboratory, U.S. Nuclear Regulatory Commission, March 1992.

NRC, 2011: Criteria for Development of Evacuation Time Estimate Studies, NUREG/CR

-7002, J. Jones and F. Walton, Sandia National Laboratories, and B. Wolshon, Louisiana State University, November 2011.

ORNL, 1990: Evaluating Protective Actions f or Chemical Agent Emergencies

, ORNL-6615, G.O. Rogers, et al., Oak Ridge National Laboratory, prepared for U.S. Department of the Army and Federal Emergency Management Agency, April 1990.

Appendix A Transient and Special Facility Population Data GF!(!

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X Y X Y X Y X Y X Y X Y X Y X Y X Y X Y X Y X Y X Y X Y X Y X Y X Y X Y X Y X Y 110111213141516 2 3 4 5 6 7 8 9ChannahonChannahonCusterCusterFlorenceFlorenceJacksonJacksonJolietJolietReedReedTroyTroyWilmingtonWilmingtonLisbonLisbonSewardSewardMaineMaineMorrisMorrisSaratogaSaratogaWauponseeWauponseeAuxAuxSableSableBracevilleBracevilleFelixFelixGooseGooseLakeLake 0 2 4Miles q G FSite Location G

F-88.267952 / 41.389836DRESDEN GENERATING STATION POPULATION DISTRIBUTION - SUB-AREASEXELON GENERATIONGFDresden PlantLegend10 Miles from PlantTownship BoundarySub-Area BoundaryEPZ BoundaryLegendFacility Type

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• G F G F G F G F G F G F G F G F G F G F ChannahonChannahonCusterCusterFlorenceFlorenceJacksonJacksonJolietJolietReedReedTroyTroyWilmingtonWilmingtonLisbonLisbonSewardSewardMaineMaineMorrisMorrisSaratogaSaratogaWauponseeWauponseeAuxAuxSableSableBracevilleBracevilleFelixFelixGooseGooseLakeLake 0 2 4Miles q G FG FDRESDEN GENERATING STATION POPULATION DISTRIBUTION - SUB-AREASGFDresden Plant10 Miles from PlantTownship BoundarySub-Area BoundaryEPZ Boundary!(SCHOOL#*DAYCARE G FSPECIAL Table A-1. Major Employers in Dresden EPZ INEOS Nova3135150135150135150135150 FLINT HILLS RESOURCES123255025325502532550253255025 Dow Chemical Co31103010110301011030101103010 Exxon Mobil Corp1235020050350200503502005035020050 Kemlite Co Inc123500350350035035003503500350 Loders Croklaan3250750250750250750250750 Metalstamp Inc125000500050005000 Northern Illinois Steel Supply124750475047504750 Packard Transport Inc125000500050005000 Romar Cabinet & Top Co129055905590559055 DOKA USA LTD125000500050005000 Chicago Aerosols, LLC76015 06015 06015 06015 0 EVRON INDUSTRIES770100701007010070100 Stepan Co (Chemical)123501000350100035010003501000 Caterpillar Tractor1313501500135015001350150013501500 ECO LAB132501500250150025015002501500 Johns-Manville Residential1385150851508515085150 Rovanco Piping Systems1360100601006010060100 INTERSTATE WAREHOUSING135000500050005000 INDICOM ELECTRIC CO INC136000600060006000 MEADE ELECTRIC CO INC13220300220300220300220300 HOMAX PRODUCTS13100100100100100100100100 COVIDIAN139090909090909090 DIETRICH METAL FRAMING1395100951009510095100VOLVO PARTS NORTH AMERICAN1395100951009510095100 A&R TRANSPORT131001515100151510015151001515 MADISON WAREHOUSE1350100501005010050100JOLIET AREA COMMUNITY HOSPICE13804030804030804030804030

USF HOLLAND INC131002020100202010020201002020 NUMARK CREDIT UNION135000500050005000 National Guard - Infantry135025100502510050251005025100 CORNERSTONE SERVICES INC1380200802008020080200 Table A-1. Major Employers in Dresden EPZU.S. Cold Storage180128801288012880128MACY'S LOGISTICS & OPERATIONS61804020180402018040201804020 EXEL LOGISTICS170150701507015070150AKZO Nobel Surface Chemistry1120300120300120300120300 Aux Sable Liquid Products LP15550555055505550 Banner Equipment Company25000500050005000Dresden Nuclear Station475015060750150606001506060015060Equistar Chemicals, LP150010050500100505001005050010050 Interstate Wire Corp2401010401010401010401010 Morris Herald25344534453445344 Northwestern Corp55000500050005000 Reichhold Chemical Inc 465355653556535565355Sponge Cushion Corp580220802208022080220 GRUNDY COUNTY COURTHOUSE57000700070007000 ILLINOIS VALLEY INDUSTRIES INC56055605560556055 GRUNDY COUNTY HEALTH DEPT512055120551205512055 GRUNDY BANK56555655565556555 FIRST MIDWEST BANK55055505550555055 SAPA EXTRUSIONS INC11202020120202012020201202020 MAHONEY ENVIRONMENTAL1385100851008510085100 Brakur Custom Cabinetry Inc1318000180001800018000 R R Brink Locking Systems Inc13601010601010601010601010 Dow Chemical Co151202020120202012020201202020 Precision Components, Inc 1565150651506515065150RON TIRAPELLI SUZUKI13452510452510452510452510 EXPERT OPTICS INC1385150851508515085150 ACTION FOR KIDS135000500050005000 RESIDENTIAL DESIGN INC135000500050005000 TRINITY SERVICES ISLAND CITY156500650065006500

OPERATING ENGINEERS APPRNTCSH P156000600060006000UNITED STATES COLD STORAGE154550455045504550 Table A-2. Recreation Areas and Facilities in Dresden EPZ Facility Sub-Area week-day week-night week-end week-day week-night week-end week-day week-night week-end week-day week-night week-end Occ Fac Adjust Grundy Rod & Gun Club 22505020010030017033133672001.51 McKinley Woods Forest Preserve 35030500502012200202.51 Gebhard Woods State Park 51000600600251000400240240104002.51 William G Stratton State Park 5200300050080012002002.51 Big Basin Marina 121001001803603603604040721441441442.51 Channahon Community Park District 1250020060008752008024003502.51 Channahon Lanes1290112.515060909060751004060601.51 Illinois & Michigan Canal State Park 12180605607909010907224224316364362.51 Hollywood Casino 1390030004500180030004500600200030001200200030001.51 Hammel Woods Forest Preserve 1310030400504012160202.51 Inwood Golf Course and Recreation Area 139090240150902406060160100601601.51 Leisure Lakes Family Resort 135050 1253003003002020501201201202.51 Challenge Park Extreme1337501000750750100015004003003004002.51 Joliet Splash Station Water Par k1300050075010000002003004002.51 Lower Rock Run Forest Preserve134545754545753030503030501.51 Galowich YMCA13150112.5112.5150112.5112.5100757510075751.51 Jefferson Square Mall plus139001350270075012002400510765153042568013601.50.85 Braidwood Recreational Club (non camping)1618025798011401201753207601.51 Braidwood Recreational Club (camp)1600030030030000010010010031 Shadow Lakes16000125001785000833011901.51 Wilmington Recreation Area Club(non

camping)15701010501505077001001.51 Wilmington Recreation Area

Club(camping)1500030030030000010010010031 A rea #1 Outdoor Club9140207001009013470671.51 Cinder Ridge Golf Course & Driving

Range9300436809720029450651.51 Fossil Rock Recreation Area (non

camping)150001402000090131.51 Vehicles Table A-2. Recreation Areas and Facilities in Dresden EPZ Facility Sub-Area week-day week-night week-end week-day week-night week-end week-day week-night week-end week-day week-night week-end Occ Fac Adjust VehiclesFossil Rock Recreation Area (camping)1500094894894800031631631631 Lake Point Club942060756010802804050407201.51 Will County Sportsmen's Club15350501400200230339301331.51 New Lenox Sportsmen's Club157010210030050714002001.51 Boy Scouts of America (non camping) 4000280040000018702671.51 Boy Scouts of America (camping) 400060060060000020020020031 Des Plaines Conservation Area (non camping)317502502100300117016714002001.51 Des Plaines Conservation

Area(camping)300066666600022222231 Midewin National Tall Grass Prairie15350501802523033120171.51 Three Rivers Marina3701056080507370531.51 Wilmington Island Park District151802535005001201723303331.51 CECO Recreation Cluc 73505031504502303321003001.51 Coal City Area Club (non camping) 7000700100000470671.51 Coal City Area Club(camping) 700030030030000010010010031 Mazonia State Fish & Wildlife Area10700100175002500470671167016671.51 Forsythe Woods Forest Preserve (non camping)15180251090155120177201031.51 Forsythe Woods Forest Preserve (camping) 1500027272700099931 shopping district Minooka 13754506003003754501882253001501882251.50.75 shopping district Morris 47 29001125150060090012004505637503004506001.50.75 shopping district Shorewood 59 13900135018009001125150051076510205106388501.50.85 Table A-3. Hotels and Motels in Dresden EPZ Facility Sub-Areaunitsstaff week-day week-night week-end week-day week-night week-end Holiday Inn Express2603939393636363Morris Comfort Inn2503787878535353Morris Motel2322505050343434 Park Motel2241373737252525 Super 8 Motel2593919191626262 Knights Inn9342535353363636 Manor Motel12774119119119818181 Best Budget Inn131035160160160108108108 Elks Motel13302474747323232 Fairfield Inn13643999999676767 Hampton Inn13894138138138939393 Ramada Inn Ltd13704109109109747474 Townplace Suites131136175175175119119119 Empress Casino Hotel131015157157157106106106 Wingate13814126126126858585 Best Western13623969696656565 Chicago Days Inn Joliet131176181181181123123123Sun Motel16452707070474747 Vehicles Table A-4. Schools in Dresden EPZ School Sub Areastudentstaffbusvan Minooka Elementary School 16076711 Minooka Intermediate 18399315 Minooka Jr High School 190610116 Minooka Sr High School 1247127545 Aux Sable Elementary 16387112 Saratoga Elementary 27628514 Grundy Area Voc. School 55756410 Immaculate Conception Sch.

5218244 Morris High School 595310617 Shabbona Middle School 5371417 White Oak Elementary 58429415 Coal City Elementary 7328366 Braceville Elementary 10176203 Coal City High School 106527212 Coal City Intermediate 10315356 Coal City Middle School 10488549 Coal City Early Childhood10351396 Channahon Jr High 12387437 NB Galloway Elementary 12504569 Three Rivers School 12381427 Pioneer Path School 12309346 Heritage Trail School 13504569 Troy Craughwell School 13513579 Crossroads Elementary 136016711 Holy Family School 13338386 Joliet Christian School 1379911 Shorewood Elementary 13515579 Troy Middle School 138959916 Oremic Intermediate School 1396010717 Hofer Elementary 13416468 Trinity Christian School + Preschool 135426010 Lewis University 1348502 Elwood Community Consol.

14 434488 Bruning Elementary 15251285 LJ Stevens Middle School 15 400 44 7 Trinity Services 15 25301 Wilmington High School 15 474539 St Rose School 15144163 Reed Custer Intermediate 16 508569 Reed Custer High School 16 5956611 Reed Custer Middle School 16 391437 Minooka Primary (PK-K) 1330376 Walnut Trails Elementary 13491559 Table A5. Daycare Facilities in Dresden EPZ Facilit ySub-Areachildrenstaffvanbus Childrens Crossing Learning Center183145 Minooka United Methodist Church11942Step by Step Learning Center2149194 Prairieland Day Care54073Kids Corner102442Step by Step IV Child Care 10103183 Godley Park District10102173 Lighthouse Kids, Inc.1213423 4Joliet Jr College Day Care134073 Garden Gate Montessori1380143 Shorewood Early Learning Center13114194 Methodist Preschool52042 Rainbow Preschool83873 Two Rivers Head Start23463 Prairieland Kids Day Care54073 Debbie's Day Care138314 3 Trinity Christian Preschool134073 Chesterbrook Academy1316328 5 Catholic Charities Head Start1319032 6 Shepherd's Flock Pre-School163052 Grace Lutheran Church Preschool153052 Table A-6. Hospitals, Nursing Homes and Assisted Living in Dresden EPZFacilityCity Sub Area residents staff day staff nt/wkd ambu-lance vanMorris HospitalMorris58945015084 Walnut Grove Health Care Morris 2123601566Cambridge HomeShorewood134621Liberty Place (Cherokee Ridge)Channahon124621 Park Place (Channahon)Channahon134721 Morris Healthcare & Rehab CenterMorris5142601877Embassy Care CenterWilmington1513597208Troy Twp Sr Citizens CtrShorewood1326202 Illinois Valley IndustriesMorris5601503 Timbers of ShorewoodShorewood131002555 Appendix B Telephone Survey of EPZ Residents DresdenEPZ SummaryofTelephoneSurveyResults Completedsurveys 385 census2010 DemographicAdjustmentSURVEYageforheadadjustment totalpopulation 106100 AgeMixResponseofhouseholdfactor totalHH 37881(percent)(percent) personsperHH 2.80 under5533.864.51.91 Results(afteradjustment) 556424.417.30.71 vehiclesusedtoevacuate 65andover42.318.20.43 whenallathome 1.45 fractiontaking1vehicle0.64 fractiontaking2veh0.31 fractiontaking3ormore0.05 WorkOutsideHome (%ofHH)oneormoreworkoutside74.8 Ofthosewhoworkoutsidepercent takevehicletowork 94.5 evacuatedirectfromwork24.8 stayoutsideEPZ 18.9 returnhometoevacuate 56.3 onereturns32.1 2ormorereturn24.2 Shifts (percent)Weekday 70.7 Swingshift 8.3 Graveyard 4.5 evening/weekend 8.2 rotate 8.3 timedistribution(fraction) 0to1515to3030to4545to60>60minutesminutesminutesminutesminutes leaveworkafternotice0.780.160.020.020.02 travelhome0.480.300.090.080.05 departafterworkreturn0.420.410.080.050.05 0to2020to4040to6060to90>90 depart(allathome)0.310.46 0.140.050.03 Page1of1 13662 LH/CH Arcadis Exelon 1 ©2011. Market Decisions Corporation ARCADIS Exelon Survey Final v6 - August 23, 2011 INTRODUCTION Hello , my name is _______ and I am calling from MDC Research, a public opinion firm. We are conducting a brief survey to gather information from households in your area about emergency response planning, and we'd like to include your opinions. This survey is being conducted on behalf of the (insert facility name) Nuclear Facility, and will take approx imately 5 minutes to complete. We are not trying to sell you anything. The information gathered from this survey will help local agencies more effectively provide community assistance should an emergency situation arise.

Can I please speak with an adult member of the household?

SCREENER S1. What is the zip code of your primary residence? This is the home where you live the majority of the time. DO NOT READ ZIP CODE LIST

List of appropriate zip codes will be displayed here 99999 Location outside the EPZ -

THANK & TERMINATE S2. Which of the following categor ies best describes your age?

11 Under 18 yrs of age - ASK FOR REFERRAL or THANK & TERMINATE 12 18 to 24 13 25 to 34 14 35 to 44 15 45 to 54 16 55 to 64 17 65 to 74 18 75 or older 98 (DO NOT READ) Refused

QUESTIONNAIRE Q1 How many people currently reside in your household?

Record: ________ # of residents

998 (DO NOT READ)

Refused -

THANK & TERMINATE

Q2 How many motor vehicles are normally based at your home?

13662 LH/CH Arcadis Exelon 2 ©2011. Market Decisions Corporation Record: ________ # of vehicles 997 None -

SKIP TO Q14 998 (DO NOT READ)

Refused Q3 How many members of your househ old are over the age of 16?

Record: _______ # of residents

998 (DO NOT READ)

Refused Q4 How many members of your hous ehold are licensed drivers?

Record: _______ # of drivers

998 (DO NOT READ)

Refused Q5 How many of the adults in your household work outside the home?

Record Skip to Q6A 997 None - Continue to Q5A 998 (DO NOT READ)

Refused If refused, explain; The nature of this project is to estimate traffic volumes and flow in the event of an emergency evacuat ion, so this data is necessary in order for us to continue with the survey.

If still refused -

THANK & TERMINATE

Q5A (ONLY ASK IF Q5=997) Which of the following best describes the non-working adults in your household? MULTIPLE MENTION - IP NOTE: No more mentions than Q3 mentions.

11 Currently unemployed/actively looking for work 12 Retired 13 On Disability or leave of absence 14 Student/continuing education 15 Homemaker 99 Other - please specify SKIP TO Q11

Repeat the following Q6A-F sequence for each working adult cited in Q5

For each of the working adults you just referenced, I'd like to ask a few que stions related to what their likely actions would be in the case of an emergency evacua tion. I understand that I will be asking you to speculate on what other members of the household may do in this situation, but your best guesses are just fine for our purposes.

Q6A Who is the first working adult in the household that you are thinking about? What is their relationship to you?

13662 LH/CH Arcadis Exelon 3 ©2011. Market Decisions Corporation 1 Self 2 Spouse or significant other 3 Parent of child 4 Other relative or in-law 5 Roommate 6 Boarder 7 Other

Q6B Which of the following best describe s this person's usual work schedule?

1 Monday - Friday, 8:00am to 5:00pm 2 Swing Shift 3 Graveyard 4 Evenings and weekends 5 Rotating shifts 6 Other or irregular schedule

7 (DO NOT READ)

Don't know

Q6C Does this person generally use a personal vehicle to commute back and forth to work?

1 Yes 2 No 7 (DO NOT READ)

Don't know

Q6D If an evacuation notice we re given while this person wa s at work, do you think they would most likely-

1 Evacuate directly from work 2 Come home first a nd then evacuate, or 3 Stay outside the evacuation zone where they work Skip to Q7 7 (DO NOT READ)

Don't know

Q6E How long do you think it would take this pe rson to get prepared and actually leave work?

(Read list if necessary) 1 Less than 15 minutes 2 15 to 30 minutes 3 30 to 45 minutes 4 45 to 60 minutes 5 More than 60 minutes 7 (DO NOT READ)

Don't know

13662 LH/CH Arcadis Exelon 4 ©2011. Market Decisions Corporation If response at 6D is 1, skip from here to Q7 Q6F About how long does it take this household member to get from work to home?

(Read list if necessary) 1 Less than 15 minutes 2 15 to 30 minutes 3 30 to 45 minutes 4 45 to 60 minutes 5 More than 60 minutes 7 (DO NOT READ)

Don't know

Q7A-F Repeat Q6 sequence for worker #2

Q8A-F Repeat Q6 sequence for worker #3

Q9A-F Repeat Q6 sequence for worker #4

Q10 And once everyone who is coming home from work has arrived, how long would it take to prepare and depart from home, taking into consideration whether or not someone else is usually home who may be starting these preparation while they are travelling?

1 Less than 15 minutes 2 15 to 30 minutes 3 30 to 45 minutes 4 45 to 60 minutes 5 More than 60 minutes 7 (DO NOT READ)

Don't know

Q11 Are any of the licensed drivers in your household restricted to daytime driving only? 1 Yes 2 No 9 (DO NOT READ)

Refused Q12 If an evacuation were ordered when all household members were at home (for example, at night or on a weekend), approximately how long would it take your household to 13662 LH/CH Arcadis Exelon 5 ©2011. Market Decisions Corporation prepare to depart? Please assume that you are advised to plan to be away from your home for 3 days. Would you say that it would take- READ LIST 1 Less than 20 minutes to depart 2 20 to 40 minutes to depart 3 40 to 60 minutes to depart 4 60 to 90 minutes to depart; or 5 More than 90 minutes to depart

Q13 How many vehicles would your household take if an evacuation were ordered when all household members were at home?

Record: _________ #

of vehicles 998 (DO NOT READ)

Refused

Q14 Are any members of your household seasonal residents? And by seasonal we mean any people who do not reside in your home the majority of the year.

1 Yes 2 No - SKIP TO Q15 9 (DO NOT READ)

Refused Q14A (ASK IF Q14=1) How many of your <insert Q1 response> household members are seasonal?

Record: _______ # of seasonal household members

998 (DO NOT READ)

Refused

Q14B (ASK IF Q14=1) What seasons do they live in another location away from your home? READ LIST - Multiple Mention 1 Spring 2 Summer 3 Fall 4 Winter Q15 Would any member of your household re quire a specialized ve hicle, such as a wheelchair, van or ambulance, to evacuate from your home in case of an emergency?

1 Yes 2 No 13662 LH/CH Arcadis Exelon 6 ©2011. Market Decisions Corporation 9 (DO NOT READ)

Refused This is all the questions we have for you today/tonight. Thank you for participating in this survey. Your responses will help us to make an accurate prediction of traffic conditions during an emergency situation. If you have any questions a bout this survey, please feel free to contact <insert contact name, job title, and phone number/email>.

Appendix C Roadway Network Map and Data Table 999998996995992991990987986984982981975974972970969960959958957953952950946944941940934930926925922921917915913908904903901898894893891875871870858856855850849846705704699695694670669666658657652650643642640639638637636634632631630627624622619618617616614613608605603597593590588583582581578574572571544542541539535521515510496423346345340321319317314310307305304280261258257256248243239234232231228227224223217206204202200195194190189180179174173172169168166165164152146145144141139137130125124123122119118116113111133713071045103610331029102110171015100810021001024 1Miles10MilesLegendDresden Station

!NodesRoad ClassificationFreewayPrincipal ArterialMajor ArterialMinor ArterialCollectorLocal RdDresden EPZRoadway Network for Station ETE Analysis A ugust 2012 I Appendix C Dresden NGS Roadway Network Data Table11121131.009121Principal Arterial16005521131121.009121Principal Arterial160055 31141150.019121Principal Arterial160045 41151140.019121Principal Arterial160045 51161170.741121Principal Arterial160055 61171160.741121Principal Arterial160055 71181190.73121Principal Arterial160055 81191180.73121Principal Arterial160055 91231250.673121Principal Arterial160055101251230.673121Principal Arterial160055 111241261.63111Major Arterial130030 121261241.63111Major Arterial130030 131211271.005121Major Arterial130045 141271211.005121Major Arterial130045 151271281.426122Major Arterial270045 161281271.426122Major Arterial270045 171291280.55121Ramp150035 181281300.473121Ramp150035 191311320.382121Principal Arterial160055 201321310.382121Principal Arterial160055 211351340.992121Ramp150035 221361370.818121Ramp150035 231341360.038121Major Arterial130045 241391400.129121Principal Arterial160045 251401390.129121Principal Arterial160045 261391410.072111Major Arterial130035 271411390.072111Major Arterial130035 281401410.098111Minor Arterial130035 291411400.098111Minor Arterial130035 301431420.892121Ramp150035 311441451.231121Ramp150035 321421440.044121Major Arterial130045 331441420.044121Major Arterial130045 341481470.36121Ramp150045 351471490.08121Major Arterial130045 361491470.08121Major Arterial130045 371471500.384121Major Arterial130045 381501470.384121Major Arterial130045 391511520.039121Minor Arterial130040 401531510.15121Ramp150035 411551560.263121Principal Arterial160055 421561550.263121Principal Arterial160055 431571580.245121Ramp150035 441601590.309121Ramp150035 451591610.109121Principal Arterial160045 461611590.109121Principal Arterial160045 471591630.207121Ramp150035 481651661.002121Major Arterial130045 491661651.002121Major Arterial130045 501681690.211121Major Arterial130045 511691680.211121Major Arterial130045 521711720.499121Principal Arterial160045 531721710.499121Principal Arterial160045 541731740.988121Ramp150035 551751730.617121Ramp150035 Page 1 of 55 Appendix C Dresden NGS Roadway Network Data Table561841850.219121Principal Arterial 1600 45571851840.219121Principal Arterial 1600 45581871880.143121 Major Arterial 1300 45591881870.143121 Major Arterial 1300 45601841890.911121Principal Arterial 1600 55611891840.911121Principal Arterial 1600 55621821901.001121 Major Arterial 1300 45631901821.001121 Major Arterial 1300 45641881910.07121 Major Arterial 1300 45651911880.07121 Major Arterial 1300 45661921930.079121 Major Arterial 1300 45671931920.079121 Major Arterial 1300 45681931940.206121 Ramp 1500 35691961950.296121 Ramp 1500 35701951970.035121Principal Arterial 1600 45711971950.035121Principal Arterial 1600 45721971980.325121Principal Arterial 1600 45731981970.325121Principal Arterial 1600 45741991930.275121 Ramp 1500 35751952000.193121 Ramp 1500 35762052060.178111 Major Arterial 1300 25772062050.178111 Major Arterial 1300 25782062070.124111 Major Arterial 1300 25792072060.124111 Major Arterial 1300 25802102110.151121Principal Arterial 1600 35812112100.151121Principal Arterial 1600 35822112150.126121Principal Arterial 1600 35832152110.126121Principal Arterial 1600 35842152160.061121Principal Arterial 1600 45852162150.061121Principal Arterial 1600 45862182190.121121Collector / Local Road1300 45872192180.121121Collector / Local Road1300 45882212171.005121 Ramp 1500 35892212220.209121Collector / Local Road1300 45902222210.209121Collector / Local Road1300 45912132250.326121Principal Arterial 1600 55922252130.326121Principal Arterial 1600 55932252290.621121Principal Arterial 1600 55942292250.621121Principal Arterial 1600 55952312324.11121 Major Arterial 1300 45962322314.11121 Major Arterial 1300 45971232381.513121Principal Arterial 1600 55982381231.513121Principal Arterial 1600 55991112393.312121Principal Arterial 1600 551002391113.312121Principal Arterial 1600 551012402410.096121Principal Arterial 1600 451022412400.096121Principal Arterial 1600 451032032420.263121 Major Arterial 1300 551042422030.263121 Major Arterial 1300 551051661671.004121 Major Arterial 1300 451061671661.004121 Major Arterial 1300 451071141161.494121Principal Arterial 1600 551081161141.494121Principal Arterial 1600 551091131151.012121Principal Arterial 1600 551101151131.012121Principal Arterial 1600 551112192440.172121Collector / Local Road1300 40 Page 2 of 55 Appendix C Dresden NGS Roadway Network Data Table1122442190.172121Collector / Local Road1300 401132272440.314121Collector / Local Road1300 401142442270.314121Collector / Local Road1300 401152452461.376121Principal Arterial 1600 551162462451.376121Principal Arterial 1600 551172472481.004121 Major Arterial 1300 551182482471.004121 Major Arterial 1300 551191461490.938121 Major Arterial 1300 451201491460.938121 Major Arterial 1300 451211892460.706121Principal Arterial 1600 551222461890.706121Principal Arterial 1600 551231621760.999121Principal Arterial 1600 451241761620.999121Principal Arterial 1600 451251381390.741121Principal Arterial 1600 451261391380.741121Principal Arterial 1600 451272502511.568121 Minor Arterial 1300 401282512501.568121 Minor Arterial 1300 401291502540.135121 Major Arterial 1300 451302541500.135121 Major Arterial 1300 451312542550.056121 Ramp 1500 351322552560.665121 Ramp 1500 351331502550.139121 Ramp 1500 351341522570.118121 Major Arterial 1300 451352572580.062121 Ramp 1500 351362582530.612121 Ramp 1500 351371522580.132121 Ramp 1500 351382212590.081121Collector / Local Road1300 451392592210.081121Collector / Local Road1300 451402602210.054121 Ramp 1500 351412602590.029121 Ramp 1500 351422492610.044121 Major Arterial 1300 451432612620.016121 Major Arterial 1300 451442622610.016121 Major Arterial 1300 451451852620.303121Principal Arterial 1600 351462621850.303121Principal Arterial 1600 351472492620.034121Principal Arterial 1600 351482622490.034121Principal Arterial 1600 351492631570.295121 Ramp 1500 351502662670.117121Collector / Local Road1300 401512672660.117121Collector / Local Road1300 401521282700.207122 Major Arterial 2700 451532701280.207122 Major Arterial 2700 451542902890.046122 Freeway 4100 651553253240.055122 Freeway 4100 651563283270.338122 Freeway 4100 651573353340.496122Principal Arterial 3200 451583393400.627122Principal Arterial 3200 451593403390.627122Principal Arterial 3200 451603423430.319121Principal Arterial 1600 451613433420.319121Principal Arterial 1600 451623463561.65122Principal Arterial 3200 451633563461.65122Principal Arterial 3200 451643533360.328121 Ramp 1500 351653633640.227121 Minor Arterial 1300 401663643630.227121 Minor Arterial 1300 401673693680.574121 Ramp 1500 35 Page 3 of 55 Appendix C Dresden NGS Roadway Network Data Table1683683660.149122Principal Arterial 3200 451693723741121Collector / Local Road1300 401703743721121Collector / Local Road1300 401713753381.604121 Ramp 1500 351723783820.325122Principal Arterial 3200 451733823780.325122Principal Arterial 3200 451743843850.152122 Major Arterial 2700 451753853840.152122 Major Arterial 2700 451763863872.11121 Ramp 1500 351773883890.124121 Minor Arterial 1300 401783893880.124121 Minor Arterial 1300 401793853890.122121Collector / Local Road1300 401803893850.122121Collector / Local Road1300 401813843890.091121 Minor Arterial 1300 401823893840.091121 Minor Arterial 1300 401833913920.03121 Major Arterial 1300 451843923910.03121 Major Arterial 1300 451853933940.036121Collector / Local Road1300 401863943930.036121Collector / Local Road1300 401873953960.029121Collector / Local Road1300 401883963950.029121Collector / Local Road1300 401893663980.021122 Minor Arterial 2600 401903983660.021122 Minor Arterial 2600 401914064050.027121Collector / Local Road1300 401924064080.023121 Major Arterial 1300 451934084060.023121 Major Arterial 1300 451944054080.02121Collector / Local Road1300 401954084050.02121Collector / Local Road1300 401964084110.021121Collector / Local Road1300 401974114080.021121Collector / Local Road1300 401984124130.036121Principal Arterial 1600 451994124140.034121Collector / Local Road1300 452004134140.04121Principal Arterial 1600 452014144130.04121Principal Arterial 1600 452024204210.026121Principal Arterial 1600 452034214200.026121Principal Arterial 1600 452044374330.063121Principal Arterial 1600 452054404410.066121 Minor Arterial 1300 402064414400.066121 Minor Arterial 1300 402074434450.057121Principal Arterial 1600 452084464420.15122Principal Arterial 3200 452094464470.009121 Minor Arterial 1300 402104474460.009121 Minor Arterial 1300 402114424470.147122Principal Arterial 3200 452124444500.065121Principal Arterial 1600 452134504440.065121Principal Arterial 1600 452143544400.192121 Minor Arterial 1300 402154403540.192121 Minor Arterial 1300 402164524531.121122Principal Arterial 3200 452174534521.121122Principal Arterial 3200 452184504540.04121 Minor Arterial 1300 402194544500.04121 Minor Arterial 1300 402204554460.157122Principal Arterial 3200 452214574580.075121Principal Arterial 1600 452224574590.073121Collector / Local Road1300 452234594570.073121Collector / Local Road1300 45 Page 4 of 55 Appendix C Dresden NGS Roadway Network Data Table2244494590.064121Principal Arterial 1600 452254554600.01121 Major Arterial 1300 452264604550.01121 Major Arterial 1300 452274474600.165122Principal Arterial 3200 452284614620.046121Principal Arterial 1600 452294624610.046121Principal Arterial 1600 452304614640.027121 Major Arterial 1300 452314644610.027121 Major Arterial 1300 452324624640.045121Collector / Local Road1300 402334654670.057121 Major Arterial 1300 502344674650.057121 Major Arterial 1300 502354684550.587122Principal Arterial 3200 452364684660.011121Collector / Local Road1300 452374664690.012122Principal Arterial 3200 452384663190.956121 Ramp 1500 352394724710.01122Principal Arterial 3200 452404723210.821121 Ramp 1500 352413184690.278121 Ramp 1500 352423204710.322121 Ramp 1500 352434764780.054121 Major Arterial 1300 502444784760.054121 Major Arterial 1300 502454794760.041121Collector / Local Road1300 402464784790.045121Collector / Local Road1300 402474804810.009121 Minor Arterial 1300 402484814800.009121 Minor Arterial 1300 402494774830.042121 Minor Arterial 1300 402504834770.042121 Minor Arterial 1300 402514844850.056121 Major Arterial 1300 452524854840.056121 Major Arterial 1300 452534794850.029121Collector / Local Road1300 402544854790.029121Collector / Local Road1300 402553303330.064121 Major Arterial 1300 502563324870.234121 Major Arterial 1300 502573564890.259122Principal Arterial 3200 452584893560.259122Principal Arterial 3200 452594924910.57121 Ramp 1500 352604934940.163121 Ramp 1500 352614944920.009121Collector / Local Road1300 402624954860.283121 Ramp 1500 352634864961.024121 Ramp 1500 352644874980.353121 Minor Arterial 1300 402654993300.62121 Ramp 1500 352665035040.022121Collector / Local Road1300 402675045030.022121Collector / Local Road1300 402685065050.46121 Ramp 1500 352695073220.032121Principal Arterial 1600 452705082820.168121 Ramp 1500 352714873271.163121 Ramp 1500 352725073240.732121 Ramp 1500 352735095100.693121 Ramp 1500 352745113230.196121 Ramp 1500 352754895120.548122Principal Arterial 3200 452765124890.548122Principal Arterial 3200 452775125140.046122Principal Arterial 3200 452785145120.046122Principal Arterial 3200 452792994890.341121 Ramp 1500 35 Page 5 of 55 Appendix C Dresden NGS Roadway Network Data Table2805154970.928121 Ramp 1500 352815122980.813121 Ramp 1500 352825165150.301121 Ramp 1500 352835115170.656122 Freeway 4100 602844905171.035121 Ramp 1500 352855205060.55121 Ramp 1500 352865205210.417121 Minor Arterial 1300 402873265220.62121 Ramp 1500 352885155230.049121 Major Arterial 1300 452895235150.049121 Major Arterial 1300 452905245250.069122Principal Arterial 3200 452915255240.069122Principal Arterial 3200 452925275260.07121 Ramp 1500 352935295280.06122Principal Arterial 3200 452945305280.84121 Ramp 1500 352953315200.265121 Minor Arterial 1300 402962815090.149121 Minor Arterial 1300 402975245330.777121 Ramp 1500 352983005250.828121 Ramp 1500 352995245340.425122Principal Arterial 3200 453005345240.425122Principal Arterial 3200 453015345350.044122Principal Arterial 3200 453025355340.044122Principal Arterial 3200 453035365351.309121 Ramp 1500 353045405410.129121Principal Arterial 1600 453055415400.129121Principal Arterial 1600 453065415420.004121Principal Arterial 1600 453075425410.004121Principal Arterial 1600 453085185430.419121 Major Arterial 1300 453095435180.419121 Major Arterial 1300 453104584480.055121Principal Arterial 1600 453115515520.152122 Freeway 4100 653125545530.181122Principal Arterial 3200 453135545550.014121Collector / Local Road1300 453145535550.18122Principal Arterial 3200 453155565510.255121 Ramp 1500 353162855560.012121Collector / Local Road1300 453175572850.316121 Ramp 1500 353182865580.034122Principal Arterial 3200 453195582860.034122Principal Arterial 3200 453202685590.447121 Minor Arterial 1300 403215592680.447121 Minor Arterial 1300 403225645680.146122Collector / Local Road2600 403235685640.146122Collector / Local Road2600 403243425690.244121 Major Arterial 1300 453255693420.244121 Major Arterial 1300 453263435690.225121Collector / Local Road1300 453275693430.225121Collector / Local Road1300 453283445830.076122Principal Arterial 3200 453295833440.076122Principal Arterial 3200 453305875880.286122Principal Arterial 3200 453315885870.286122Principal Arterial 3200 453323475780.06122Principal Arterial 3200 453335783470.06122Principal Arterial 3200 453343505810.93122 Major Arterial 2700 453355813500.93122 Major Arterial 2700 45 Page 6 of 55 Appendix C Dresden NGS Roadway Network Data Table3363513520.313121 Major Arterial 1300 453373523510.313121 Major Arterial 1300 453383505900.859122 Major Arterial 2700 453395903500.859122 Major Arterial 2700 453403485910.092121Principal Arterial 1600 453415925140.862121 Ramp 1500 353424895930.424121 Ramp 1500 353433492920.173121 Ramp 1500 353445976000.108121 Major Arterial 1300 453456005970.108121 Major Arterial 1300 453466016020.039121 Major Arterial 1300 453476026010.039121 Major Arterial 1300 453486036040.009121 Major Arterial 1300 453495986070.108122Principal Arterial 3200 453506075980.108122Principal Arterial 3200 453516096080.875121 Ramp 1500 353526102930.63123 Freeway 6150 653536113020.552122 Freeway 4100 653543113021.077121 Ramp 1500 553553093070.753121 Ramp 1500 553566103050.824121 Ramp 1500 553576113100.845121 Ramp 1500 553586123010.216122 Freeway 4100 653596122940.892121 Ramp 1500 553603093040.434123 Freeway 6150 653613083041.124121 Ramp 1500 553622953010.392121 Ramp 1500 553633062931.164121 Ramp 1500 553643406150.568122Principal Arterial 3200 453656153400.568122Principal Arterial 3200 453666083170.848121 Ramp 1500 353676166170.895121 Ramp 1500 353683166160.894121 Ramp 1500 353696206210.305122Principal Arterial 3200 453706216200.305122Principal Arterial 3200 453715996210.116122Principal Arterial 3200 453726215990.116122Principal Arterial 3200 453736046220.297121 Ramp 1500 353746236030.256121 Ramp 1500 353756016241.1121 Ramp 1500 353766256240.284122 Freeway 4100 653776256021.336121 Ramp 1500 353786236220.275122 Freeway 4100 653793156190.668121 Ramp 1500 353806193120.493121 Ramp 1500 353813136180.883121 Ramp 1500 353826183140.518121 Ramp 1500 353836306310.996121Principal Arterial 1600 553846316300.996121Principal Arterial 1600 553856336340.011121Principal Arterial 1600 453866346330.011121Principal Arterial 1600 453876356360.012121Collector / Local Road1300 403886366350.012121Collector / Local Road1300 403896376380.015121Collector / Local Road1300 403906386370.015121Collector / Local Road1300 403916326390.019121Collector / Local Road1300 40 Page 7 of 55 Appendix C Dresden NGS Roadway Network Data Table3926396320.019121Collector / Local Road1300 403936426430.011121 Major Arterial 1300 453946436420.011121 Major Arterial 1300 453956466470.618121Principal Arterial 1600 453966476460.618121Principal Arterial 1600 453976476480.171121Principal Arterial 1600 353986486470.171121Principal Arterial 1600 353996446490.332121 Major Arterial 1300 454006496440.332121 Major Arterial 1300 454016336560.285121 Major Arterial 1300 454026566330.285121 Major Arterial 1300 454036346580.257122Principal Arterial 3650 554046586340.257122Principal Arterial 3650 554056386360.507122Principal Arterial 3650 554066356370.521122Principal Arterial 3650 554076426540.249122Principal Arterial 3650 504086556430.249122Principal Arterial 3650 504096306340.999121Principal Arterial 1600 554106346300.999121Principal Arterial 1600 554116636643.294121Principal Arterial 1600 554126646633.294121Principal Arterial 1600 554136666690.209121Principal Arterial 1600 304146696660.209121Principal Arterial 1600 304156716720.536121Collector / Local Road1300 454166726710.536121Collector / Local Road1300 454176726730.902121Principal Arterial 1600 504186736720.902121Principal Arterial 1600 504196716730.74121 Major Arterial 1300 454206736710.74121 Major Arterial 1300 454216746750.069121Principal Arterial 1600 354226756740.069121Principal Arterial 1600 354236686750.187121Principal Arterial 1600 354246756680.187121Principal Arterial 1600 354256676760.088121 Major Arterial 1300 404266766670.088121 Major Arterial 1300 404276766780.064121Principal Arterial 1600 404286786760.064121Principal Arterial 1600 404296656780.624121Principal Arterial 1600 554306786650.624121Principal Arterial 1600 554316696800.16121Principal Arterial 1600 354326806690.16121Principal Arterial 1600 354336846850.059121 Minor Arterial 1300 404346856840.059121 Minor Arterial 1300 404356796880.161121Principal Arterial 1600 504366886790.161122Principal Arterial 3200 454376846890.01121 Minor Arterial 1300 404386896840.01121 Minor Arterial 1300 404396916820.332121 Ramp 1500 354406926930.319121 Ramp 1500 354413623650.146121 Minor Arterial 1300 404423653620.146121 Minor Arterial 1300 404434903230.081121Principal Arterial 1600 454443233220.007121Collector / Local Road1300 454455325220.157122Principal Arterial 3200 454465266950.505121 Ramp 1500 354475295260.05121 Ramp 1500 35 Page 8 of 55 Appendix C Dresden NGS Roadway Network Data Table4485275290.047122Principal Arterial 3200 454495325290.007121Collector / Local Road1300 454505964730.03121Principal Arterial 1600 454516996980.846122Principal Arterial 3200 454526536990.209122Principal Arterial 3200 454537003110.319123 Freeway 6150 654543347010.009121 Minor Arterial 1300 404557013340.009121 Minor Arterial 1300 404567013600.496122Principal Arterial 3200 454574704720.009121Collector / Local Road1300 454584694680.011121Collector / Local Road1300 454594714700.011121Collector / Local Road1300 454607046140.951121 Ramp 1500 354617052970.882121 Ramp 1500 354622967040.82121 Ramp 1500 354637067070.064121 Major Arterial 1300 554647077060.064121 Major Arterial 1300 554657062720.937121 Ramp 1500 354667087090.055121 Major Arterial 1300 554677097080.055121 Major Arterial 1300 554687127110.644121 Ramp 1500 354692737130.321121 Ramp 1500 354707087150.809121 Ramp 1500 354717167170.39121 Ramp 1500 354727197180.056121 Ramp 1500 354737207210.755121 Ramp 1500 354747182710.977121 Ramp 1500 354757227230.749121 Ramp 1500 354767087220.666121 Major Arterial 1300 554777227080.666121 Major Arterial 1300 554787247220.084121 Ramp 1500 354797257260.697121 Ramp 1500 354807287271.158121 Ramp 1500 354817307292.124121 Ramp 1500 554827317322.14121 Ramp 1500 554837337341.57121 Ramp 1500 554847367351.571121 Ramp 1500 554857147370.836121 Ramp 1500 354867397401.005121 Major Arterial 1300 454877407391.005121 Major Arterial 1300 454887417360.201122 Freeway 4100 654897427431.158121 Major Arterial 1300 554907437421.158121 Major Arterial 1300 554917467471.011121 Ramp 1500 354927487460.016121 Ramp 1500 354937507511.342121 Ramp 1500 554947527411.608121 Ramp 1500 554952647490.263121 Ramp 1500 354967537542.252121 Ramp 1500 554977567570.573121 Ramp 1500 354987597580.057121 Ramp 1500 354997607610.425121 Ramp 1500 355007627630.033122 Major Arterial 2700 455017637620.033122 Major Arterial 2700 455027657640.06121 Ramp 1500 355037637660.009122 Major Arterial 2700 45 Page 9 of 55 Appendix C Dresden NGS Roadway Network Data Table5047667630.009122 Major Arterial 2700 455057677680.037122 Major Arterial 2700 455067687670.037122 Major Arterial 2700 455077677690.012122 Major Arterial 2700 455087697670.012122 Major Arterial 2700 455097697700.051122 Major Arterial 2700 455107707690.051122 Major Arterial 2700 455117627710.144121 Ramp 1500 355127727660.119121 Ramp 1500 355137697720.127121 Ramp 1500 355147747750.227111 Major Arterial 1300 355157757740.227111 Major Arterial 1300 355167757760.149121Collector / Local Road1300 455177767750.149121Collector / Local Road1300 455187747760.241111 Major Arterial 1300 355197767740.241111 Major Arterial 1300 355207797780.058121 Ramp 1500 355217787800.064121Principal Arterial 1600 455227807780.064121Principal Arterial 1600 455237812770.783121 Ramp 1500 355247787810.559121Principal Arterial 1600 355257817780.559121Principal Arterial 1600 355267782760.824121 Ramp 1500 355277837810.061121 Ramp 1500 355287857860.041122Principal Arterial 3200 455297867850.041122Principal Arterial 3200 455307887890.087121Principal Arterial 1600 305317897880.087121Principal Arterial 1600 305327907911.385121 Ramp 1500 355337937941.243121 Ramp 1500 355347967951.366121 Ramp 1500 355357977981.074121 Ramp 1500 355367977990.237121 Major Arterial 1300 455378018001.297121 Ramp 1500 355388038042.336122 Freeway 4100 655398068051.619121 Ramp 1500 355408078041.523121 Ramp 1500 355418078021.012121Principal Arterial 1600 555428088070.438121Principal Arterial 1600 555432658100.849122Principal Arterial 3200 455448112650.033121Collector / Local Road1300 455458128110.847122Principal Arterial 3200 455468108120.032121Collector / Local Road1300 455477127200.16122Principal Arterial 3200 405487207120.16122Principal Arterial 3200 405498167200.019121 Ramp 1500 355507568190.071121 Major Arterial 1300 505518197560.071121 Major Arterial 1300 505522825090.008121Collector / Local Road1300 405538218220.014121Principal Arterial 1600 455548228210.014121Principal Arterial 1600 455558068091.012121Principal Arterial 1600 555568248060.442121 Major Arterial 1300 455578098070.018121Collector / Local Road1300 455588028060.019121Collector / Local Road1300 455598268010.116121 Major Arterial 1300 45 Page 10 of 55 Appendix C Dresden NGS Roadway Network Data Table5607998010.006121Collector / Local Road1300 405618017990.006121Collector / Local Road1300 405627978280.006121Collector / Local Road1300 405638287970.006121Collector / Local Road1300 405648297900.405121Principal Arterial 1600 455657947900.02121Collector / Local Road1300 455668307960.02121Collector / Local Road1300 455678318301.341121 Ramp 1500 355688327480.281121 Ramp 1500 355697488330.072121 Ramp 1500 355708348160.243121 Ramp 1500 355718168350.093121 Ramp 1500 355727208350.069122Principal Arterial 3200 405738357200.069122Principal Arterial 3200 405747067180.876121 Major Arterial 1300 555757187060.876121 Major Arterial 1300 555762747190.918121 Ramp 1500 355777188360.061121 Major Arterial 1300 555788367180.061121 Major Arterial 1300 555797198360.08121 Ramp 1500 355807137060.048121 Ramp 1500 355817137070.066121 Ramp 1500 355827177080.068121 Ramp 1500 355837177090.091121 Ramp 1500 355848377240.283121 Ramp 1500 355857227430.062121 Major Arterial 1300 555867437220.062121 Major Arterial 1300 555877247430.103121 Ramp 1500 355888387590.446121 Ramp 1500 355897588390.072121 Major Arterial 1300 505908397580.072121 Major Arterial 1300 505917598390.076121 Ramp 1500 355927617560.068121 Ramp 1500 355937618190.088121 Ramp 1500 355942797790.343121 Ramp 1500 355957797800.084121 Ramp 1500 355967818400.059121Principal Arterial 1600 355978407810.059121Principal Arterial 1600 355987838400.086121 Ramp 1500 355998412780.145122 Freeway 4100 656005388460.005121Collector / Local Road1300 406018465380.005121Collector / Local Road1300 406026986970.163122Principal Arterial 3200 456035465480.126121 Minor Arterial 1300 406045485460.126121 Minor Arterial 1300 406055595600.39121 Minor Arterial 1300 406065605590.39121 Minor Arterial 1300 406072395890.658121Principal Arterial 1600 456085892390.658121Principal Arterial 1600 456097848510.511121Principal Arterial 1600 556108517840.511121Principal Arterial 1600 556111291300.926122 Freeway 4100 656128558560.168121 Major Arterial 1300 456138568550.168121 Major Arterial 1300 456148588590.244121 Major Arterial 1300 556158598580.244121 Major Arterial 1300 55 Page 11 of 55 Appendix C Dresden NGS Roadway Network Data Table6168618600.511122Principal Arterial 3200 456177868600.177122Principal Arterial 3200 456188607860.177122Principal Arterial 3200 456198658640.159122Principal Arterial 3200 456208648660.859121 Ramp 1500 556218678640.011121 Major Arterial 1300 506228688690.257121 Ramp 1500 556238698700.01121 Major Arterial 1300 506248698630.27122Principal Arterial 3200 456258648690.206122Principal Arterial 3200 456268728661.398122 Freeway 4100 656278738744.46121 Minor Arterial 1300 456288748734.46121 Minor Arterial 1300 456298788790.633121 Major Arterial 1300 456308798780.633121 Major Arterial 1300 456312288800.195121 Major Arterial 1300 556328802280.195121 Major Arterial 1300 556332238800.487111 Major Arterial 1300 356348802230.487111 Major Arterial 1300 356352168810.268121Principal Arterial 1600 406368812160.268121Principal Arterial 1600 406372488810.668121Principal Arterial 1600 556388812480.668121Principal Arterial 1600 556393353600.008121 Minor Arterial 1300 406403603350.008121 Minor Arterial 1300 406415758860.031122 Major Arterial 2700 456428865750.031122 Major Arterial 2700 456438908910.725121Principal Arterial 1600 556448918900.725121Principal Arterial 1600 556458908920.024121Principal Arterial 1600 406468928900.024121Principal Arterial 1600 406478938940.552121 Ramp 1500 356488528930.476121 Ramp 1500 356498938950.512122 Minor Arterial 2600 406508958930.512122 Minor Arterial 2600 406518999000.009121 Minor Arterial 1300 406529008990.009121 Minor Arterial 1300 406539019020.903121 Minor Arterial 1300 406549029010.903121 Minor Arterial 1300 406559069070.291121 Major Arterial 1300 456569079060.291121 Major Arterial 1300 456579109110.113121Principal Arterial 1600 456589119100.113121Principal Arterial 1600 456599129130.227121 Major Arterial 1300 456609139120.227121 Major Arterial 1300 456619109140.427121 Major Arterial 1300 456629149100.427121 Major Arterial 1300 456639189190.678121 Ramp 1500 356649199200.683121 Ramp 1500 356659219220.672121 Ramp 1500 356669239210.701121 Ramp 1500 356679259260.067111 Major Arterial 1300 306689269250.067111 Major Arterial 1300 306699309320.097101Collector / Local Road800 256709329300.097101Collector / Local Road800 256719429430.05111 Major Arterial 1300 25 Page 12 of 55 Appendix C Dresden NGS Roadway Network Data Table6729439420.05111 Major Arterial 1300 256739499500.246121 Major Arterial 1300 456749509490.246121 Major Arterial 1300 456759539560.322121 Major Arterial 1300 456769569530.322121 Major Arterial 1300 456779569570.18121 Major Arterial 1300 556789579560.18121 Major Arterial 1300 556799619620.967121 Major Arterial 1300 556809629610.967121 Major Arterial 1300 556819589670.999121Collector / Local Road1300 406829679580.999121Collector / Local Road1300 406839739740.555121Principal Arterial 1600 456849749730.555121Principal Arterial 1600 456859669740.504111 Minor Arterial 1300 356869749660.504111 Minor Arterial 1300 356879749750.993121Principal Arterial 1600 456889759740.993121Principal Arterial 1600 456899679750.5121Collector / Local Road1300 406909759670.5121Collector / Local Road1300 406919779780.752121Principal Arterial 1600 456929789770.752121Principal Arterial 1600 456939809811.01121Principal Arterial 1600 556949819801.01121Principal Arterial 1600 556959839841.001121 Minor Arterial 1300 456969849831.001121 Minor Arterial 1300 456979829860.209121 Ramp 1500 356989889890.815121Collector / Local Road800 456999899880.815121Collector / Local Road800 457009889900.503121Collector / Local Road800 457019909880.503121Collector / Local Road800 457028919801.005121Principal Arterial 1600 557039808911.005121Principal Arterial 1600 557049979980.01121Collector / Local Road1300 407059989970.01121Collector / Local Road1300 4070699910000.194121 Major Arterial 1300 4070710009990.194121 Major Arterial 1300 40708100010010.669121 Major Arterial 1300 50709100110000.669121 Major Arterial 1300 50710100110040.841121 Major Arterial 1300 50711100410010.841121 Major Arterial 1300 50712100510060.55111 Minor Arterial 1300 35713100610050.55111 Minor Arterial 1300 35714100510070.042121 Major Arterial 1300 45715100710050.042121 Major Arterial 1300 45716100810092.406121 Major Arterial 1300 40717100910082.406121 Major Arterial 1300 4071885610120.131121 Major Arterial 1300 4571910128560.131121 Major Arterial 1300 4572085610130.709121 Ramp 1500 3572110148550.247121 Ramp 1500 3572285510160.623121 Ramp 1500 3572310188560.3121 Ramp 1500 35724100310070.745121 Major Arterial 1300 45725100710030.745121 Major Arterial 1300 45726100410090.578121 Major Arterial 1300 50727100910040.578121 Major Arterial 1300 50 Page 13 of 55 Appendix C Dresden NGS Roadway Network Data Table728101410161.32122 Freeway 4100 657299769780.395121Principal Arterial 1600 457309789760.395121Principal Arterial 1600 457318779620.953121 Major Arterial 1300 557329628770.953121 Major Arterial 1300 557339199210.638121 Minor Arterial 1300 557349219190.638121 Minor Arterial 1300 557359239221.234122 Freeway 4100 657369189201.227122 Freeway 4100 657379269270.476111 Major Arterial 1300 307389279260.476111 Major Arterial 1300 307399639640.772111 Major Arterial 1300 307409649630.772111 Major Arterial 1300 307418528940.94122 Freeway 4100 657422708930.238122 Minor Arterial 2600 407438932700.238122 Minor Arterial 2600 4074494910300.967121 Major Arterial 1300 4574510309490.967121 Major Arterial 1300 4574624310310.385121 Major Arterial 1300 4574710312430.385121 Major Arterial 1300 457489879890.697121Collector / Local Road800 457499899870.697121Collector / Local Road800 4575095710370.702121 Major Arterial 1300 5575110379570.702121 Major Arterial 1300 5575296010371.307121Principal Arterial 1600 5575310379601.307121Principal Arterial 1600 557549479480.267121 Major Arterial 1300 507559489470.267121 Major Arterial 1300 507569599600.497121 Major Arterial 1300 557579609590.497121 Major Arterial 1300 557589609811.503121Principal Arterial 1600 557599819601.503121Principal Arterial 1600 557609799812.003121Principal Arterial 1600 457619819792.003121Principal Arterial 1600 457629779790.016121Principal Arterial 1600 457639799770.016121Principal Arterial 1600 45764103210330.299121 Major Arterial 1300 40765103310320.299121 Major Arterial 1300 4076691910381.385121Collector / Local Road1300 5576710389191.385121Collector / Local Road1300 557689459552.283121Collector / Local Road1300 457699559452.283121Collector / Local Road1300 4577010408610.992122Principal Arterial 3200 457719849962.008121 Major Arterial 1300 457729969842.008121 Major Arterial 1300 45773101910420.355121Collector / Local Road1300 40774104210190.355121Collector / Local Road1300 407759219291.257121 Minor Arterial 1300 557769299211.257121 Minor Arterial 1300 5577795010441.645121Collector / Local Road800 5077810449501.645121Collector / Local Road800 50779102810453.407121Collector / Local Road1300 40780104510283.407121Collector / Local Road1300 4078190910271.251121 Major Arterial 1300 4578210279091.251121 Major Arterial 1300 457838769283.662121 Minor Arterial 1300 40 Page 14 of 55 Appendix C Dresden NGS Roadway Network Data Table7849288763.662121 Minor Arterial 1300 4078587410362.174111 Minor Arterial 1300 3578610368742.174111 Minor Arterial 1300 357879469541121 Major Arterial 1300 457889549461121 Major Arterial 1300 457899009041.169121 Major Arterial 1300 457909049001.169121 Major Arterial 1300 457919049081.197121 Major Arterial 1300 457929089041.197121 Major Arterial 1300 457938989031.004121Principal Arterial 1600 557949038981.004121Principal Arterial 1600 557958708670.204122Principal Arterial 3200 4579691310460.659121 Major Arterial 1300 4579710469130.659121 Major Arterial 1300 45798100610470.545111 Minor Arterial 1300 35799104710060.545111 Minor Arterial 1300 358002229820.109121Principal Arterial 1600 458019822220.109121Principal Arterial 1600 4580290710271.868121 Major Arterial 1300 4580310279071.868121 Major Arterial 1300 45804105310540.103121 Major Arterial 1300 45805105410530.103121 Major Arterial 1300 458067567580.743121 Major Arterial 1300 508077587560.743121 Major Arterial 1300 50808108210830.032121 Major Arterial 1300 45809108310820.032121 Major Arterial 1300 4581082310880.147122Principal Arterial 3200 4581110888230.147122Principal Arterial 3200 4581226510910.267121 Ramp 1500 35813109110921.103121 Ramp 1500 35814109510960.152121 Minor Arterial 1300 40815109610950.152121 Minor Arterial 1300 40816110211030.1121Principal Arterial 1600 45817110311020.1121Principal Arterial 1600 45818110511060.186121 Ramp 1500 35819110811070.339121 Ramp 1500 35820111011050.015121 Ramp 1500 35821110911110.034121 Major Arterial 1300 45822111111090.034121 Major Arterial 1300 45823111111050.024121 Ramp 1500 35824111011110.017121 Major Arterial 1300 45825111111100.017121 Major Arterial 1300 45826111211110.024121 Ramp 1500 35827111211100.018121 Ramp 1500 35828111611170.013121 Major Arterial 1300 45829111711160.013121 Major Arterial 1300 45830112011210.119122Principal Arterial 3200 45831112211200.048121 Ramp 1500 35832112211230.041121 Ramp 1500 35833112311200.025122Principal Arterial 3200 45834112511240.56121 Ramp 1500 35835112611270.875121 Ramp 1500 35836112911300.041121 Ramp 1500 35837113111290.215121 Ramp 1500 35838113011330.053122Principal Arterial 3200 45839112911330.071121 Ramp 1500 35 Page 15 of 55 Appendix C Dresden NGS Roadway Network Data Table840114811470.126121 Ramp 1500 35841114911500.077122Principal Arterial 2800 25842115011490.077122Principal Arterial 2800 25843114811510.173121 Freeway 2050 55844114711510.1121 Ramp 1500 35845114711530.086121 Ramp 1500 35846115311470.086121 Ramp 1500 35847115311540.034122Principal Arterial 2800 30848115411530.034122Principal Arterial 2800 30849115711580.03122Principal Arterial 2800 35850115811570.03122Principal Arterial 3200 45851115811590.043122Principal Arterial 2800 35852115911580.043122Principal Arterial 2800 35853116111620.281122Principal Arterial 3200 40854116211610.281122Principal Arterial 3200 40855116411650.075121Collector / Local Road1300 40856116511640.075121Collector / Local Road1300 40857116611670.154121 Ramp 1500 35858117111730.075122 Major Arterial 2700 45859117311710.075122 Major Arterial 2700 45860117511760.108121 Minor Arterial 1300 40861117611750.108121 Minor Arterial 1300 40862117611770.329121 Minor Arterial 1300 40863117711760.329121 Minor Arterial 1300 40864117911800.204121Collector / Local Road1300 40865118011790.204121Collector / Local Road1300 40866118511860.191121 Ramp 1500 35867118711880.009121 Major Arterial 1300 50868119111120.353121 Ramp 1500 35869110711100.235121Principal Arterial 1600 45870111011070.235121Principal Arterial 1600 45871119311240.436122 Freeway 4100 65872112111940.15122Principal Arterial 3200 45873119411250.014122Principal Arterial 3200 45874112311940.011121 Minor Arterial 1300 40875113411950.062122Principal Arterial 3200 45876113011950.01121 Minor Arterial 1300 40877119710670.376121 Ramp 1500 358788428430.011121Collector / Local Road1300 408798438420.011121Collector / Local Road1300 40880120312040.025121 Major Arterial 1300 45881120412030.025121 Major Arterial 1300 458822647450.251122Principal Arterial 3200 458837452640.251122Principal Arterial 3200 4588490212121.004122Collector / Local Road2600 4088512129021.004122Collector / Local Road2600 40886108012230.146111 Major Arterial 1300 35887122310800.146111 Major Arterial 1300 35888105812250.002111 Major Arterial 1300 35889122510580.002111 Major Arterial 1300 3589076410690.118122Principal Arterial 3200 4589110697640.118122Principal Arterial 3200 45892122812272.227121 Ramp 1500 55893122911970.184121 Ramp 1500 3589475012271.148122 Freeway 4100 658957257270.106121 Major Arterial 1300 45 Page 16 of 55 Appendix C Dresden NGS Roadway Network Data Table8967277250.106121 Major Arterial 1300 458977147460.205122 Major Arterial 2700 458987467140.205122 Major Arterial 2700 458997948290.409121Principal Arterial 1600 459008098080.439121Principal Arterial 1600 559018028240.443121 Major Arterial 1300 459027468330.05122 Major Arterial 2700 459038337460.05122 Major Arterial 2700 4590483912310.368121 Major Arterial 1300 5090512318390.368121 Major Arterial 1300 5090682710940.109121 Major Arterial 1300 4590710948270.109121 Major Arterial 1300 4590877112350.025121Principal Arterial 1600 4590912357710.025121Principal Arterial 1600 459107627680.024122 Major Arterial 2700 459117687620.024122 Major Arterial 2700 4591276412360.008122Principal Arterial 3200 4591312367640.008122Principal Arterial 3200 45914123612370.059121 Ramp 1500 3591576312380.029121 Ramp 1500 35916123710690.117121 Ramp 1500 3591710697650.112121 Ramp 1500 35918123512360.03122Principal Arterial 3200 45919123612350.03122Principal Arterial 3200 459207717720.081121Principal Arterial 1600 459217727710.081121Principal Arterial 1600 45922123712380.037121 Ramp 1500 35923123812370.037121 Ramp 1500 3592412387620.033121 Ramp 1500 3592512397670.036121 Ramp 1500 3592676512390.037121 Ramp 1500 3592712397650.037121 Ramp 1500 3592876812390.039121 Ramp 1500 35929124112420.7121Principal Arterial 1600 45930124212410.7121Principal Arterial 1600 45931124812490.165121Principal Arterial 1600 40932124912480.165121Principal Arterial 1600 409337858620.359121Principal Arterial 1600 459348627850.359121Principal Arterial 1600 4593564112500.663121 Major Arterial 1300 4593612506410.663121 Major Arterial 1300 45937125312520.065122Principal Arterial 3200 45938124712530.009121 Major Arterial 1300 50939125312470.009121 Major Arterial 1300 5094082911020.142121Principal Arterial 1600 4594111028290.142121Principal Arterial 1600 45942111812570.089121 Major Arterial 1300 45943125711180.089121 Major Arterial 1300 45944113111270.462121 Freeway 2050 55945118612640.132121 Ramp 1500 35946126411860.132121 Ramp 1500 35947126412520.083121 Ramp 1500 35948125312640.016121 Major Arterial 1300 50949126412530.016121 Major Arterial 1300 50950126511890.186121 Ramp 1500 35951118412660.532122Principal Arterial 3200 45 Page 17 of 55 Appendix C Dresden NGS Roadway Network Data Table952126612530.059122Principal Arterial 3200 45953126612640.085121 Major Arterial 1300 509547967940.859121Principal Arterial 1600 5595512327982.179122 Freeway 4100 65956112611300.093122Principal Arterial 3200 4595728012680.079122 Major Arterial 2700 4595812682800.079122 Major Arterial 2700 4595957612680.208122 Major Arterial 2700 4596012685760.208122 Major Arterial 2700 45961117912600.353121Principal Arterial 1600 45962126011790.353121Principal Arterial 1600 4596312702961.936122 Freeway 4100 65964102512710.227121 Major Arterial 1300 50965127110250.227121 Major Arterial 1300 50966127110400.471122Principal Arterial 3200 4596786112720.03121 Major Arterial 1300 50968127310400.034121 Major Arterial 1300 50969127412750.987122 Freeway 4100 65970101312771.804122 Freeway 4100 65971127712761.01122 Freeway 4100 65972127312710.471122Principal Arterial 3200 45973127212730.991122Principal Arterial 3200 4597486012720.511122Principal Arterial 3200 459758858610.923121 Ramp 1500 5597610408841.123121 Ramp 1500 559777998260.116121 Major Arterial 1300 459788018280.237121 Major Arterial 1300 4597912677990.418121 Ramp 1500 3598012328280.386121 Ramp 1500 3598112728821.099121 Ramp 1500 5598260612800.09122Principal Arterial 3200 4598312806060.09122Principal Arterial 3200 4598482012850.017121Principal Arterial 1600 5598512858200.017122Principal Arterial 3200 459861542510.267121Collector / Local Road1300 409872511540.267121Collector / Local Road1300 409881561720.501121Principal Arterial 1600 559891721560.501121Principal Arterial 1600 559901162380.503121Principal Arterial 1600 559912381160.503121Principal Arterial 1600 5599288312731.004121 Ramp 1500 55993125211870.503122Principal Arterial 3200 45994111712820.138121 Major Arterial 1300 40995128211170.138121 Major Arterial 1300 40996113812870.008121Principal Arterial 1600 45997128711380.008121Principal Arterial 1600 45998125812880.021121Principal Arterial 1600 45999128812580.021121Principal Arterial 1600 45100082112890.155122 Minor Arterial 2600 40100112898210.155122 Minor Arterial 2600 401002124812900.085121Principal Arterial 1600 401003129012480.085121Principal Arterial 1600 40100412927300.423122 Freeway 4100 651005118312930.293102Collector / Local Road800 151006129311830.293101Collector / Local Road800 151007121312940.118121 Major Arterial 1300 55 Page 18 of 55 Appendix C Dresden NGS Roadway Network Data Table1008129412130.118121 Major Arterial 1300 451009107912940.532121 Major Arterial 1300 551010129410790.532121 Major Arterial 1300 551011119912110.006121 Major Arterial 1300 451012121111990.006121 Major Arterial 1300 451013119812960.043121 Major Arterial 1300 551014129611980.043121 Major Arterial 1300 451015108412990.062121 Major Arterial 1300 551016129910840.062121 Major Arterial 1300 55101775513010.396122Principal Arterial 2800 35101813017550.396122Principal Arterial 2800 351019107813020.032121 Major Arterial 1300 551020130210780.032121 Major Arterial 1300 45102165713060.46121Principal Arterial 1600 45102213066570.46121Principal Arterial 1600 4510235557020.221121 Ramp 1500 35102413085540.286121 Ramp 1500 3510255565540.232122Principal Arterial 3200 4510265552850.23122Principal Arterial 3200 45102713087020.469122 Freeway 4100 6510285775830.265121 Ramp 1500 3510292885820.992121 Ramp 1500 3510305822870.704121 Ramp 1500 3510315832900.207121 Ramp 1500 3510325925930.294122 Freeway 4100 6510333056120.255122 Freeway 4100 6510343076110.314122 Freeway 4100 6510353106100.195123 Freeway 6150 6510365825830.304122Principal Arterial 3200 4510375835820.304122Principal Arterial 3200 4510388882920.333123 Freeway 6150 6510396093170.467122 Freeway 4100 6510406086160.722121 Major Arterial 1300 4510416166080.722121 Major Arterial 1300 4510423153120.338122 Freeway 4100 6510437047050.512122 Minor Arterial 2600 4010447057040.512122 Minor Arterial 2600 4010455385420.244122Principal Arterial 3200 4510465418460.245122Principal Arterial 3200 4510473295210.607121 Ramp 1500 3510484514560.083121Collector / Local Road1300 4010494564510.083121Collector / Local Road1300 4010504994980.646121 Ramp 1500 35105113114990.641121 Ramp 1500 3510523334780.697121 Major Arterial 1300 5010534783330.697121 Major Arterial 1300 5010543295051.273122 Freeway 4100 6010553325060.86121 Ramp 1500 3510565145250.16122Principal Arterial 3200 4510575255140.16122Principal Arterial 3200 45105851713111.117122 Freeway 4100 60105953013120.187122 Freeway 4100 60106013126950.059123 Freeway 6150 6510614934911.075123 Freeway 6150 6510624922820.124121 Minor Arterial 1300 4010635225070.277122Principal Arterial 3200 45 Page 19 of 55 Appendix C Dresden NGS Roadway Network Data Table10645164971.624122 Freeway 4100 6510654865150.273121 Major Arterial 1300 4510665154860.273121 Major Arterial 1300 4510671931950.217121Principal Arterial 1600 4510681951930.217121Principal Arterial 1600 4510692322342.342121 Major Arterial 1300 4510702342322.342121 Major Arterial 1300 4510711361420.529121 Major Arterial 1300 4510721421360.529121 Major Arterial 1300 4510732542570.465121 Major Arterial 1300 4510742572540.465121 Major Arterial 1300 4510751751740.295122 Freeway 4100 6510764704680.226122Principal Arterial 3200 4510774694720.217122Principal Arterial 3200 451078131513161.146122 Minor Arterial 2600 351079127913160.242122Principal Arterial 2800 351080131612790.242122Principal Arterial 2800 3510811311400.907121Principal Arterial 1600 4510821401310.907121Principal Arterial 1600 4510836826920.185121Principal Arterial 1600 5510846926820.185121Principal Arterial 1600 5510851571590.191121Principal Arterial 1600 4510861591570.191121Principal Arterial 1600 4510873583590.008122 Minor Arterial 2600 4010883593580.008122 Minor Arterial 2600 401089131413170.39121 Ramp 1500 35109013173820.066121 Ramp 1500 35109138613180.204122Principal Arterial 3200 45109213183860.204122Principal Arterial 3200 45109338213180.125122Principal Arterial 3200 45109413183820.125122Principal Arterial 3200 451095131713180.035121 Ramp 1500 351096131313190.37121 Ramp 1500 35109737613200.09122Principal Arterial 3200 45109813203760.09122Principal Arterial 3200 45109937513210.095123Principal Arterial 4800 45110013213750.095123Principal Arterial 4800 451101131913210.041121 Ramp 1500 351102131913200.03121 Ramp 1500 351103132013210.047122Principal Arterial 3200 451104132113200.047122Principal Arterial 3200 45110513133770.341122 Freeway 4100 6511063783370.382121 Ramp 1500 3511073763770.384121 Ramp 1500 35110860013241.918101Collector / Local Road800 15110913246001.918101Collector / Local Road800 15111059913233.083101Collector / Local Road800 15111113235993.083101Collector / Local Road800 151112102813221.749101Collector / Local Road800 151113132210281.749101Collector / Local Road800 15111487913250.984101Collector / Local Road800 15111513258790.984101Collector / Local Road800 15111691713270.159101Collector / Local Road800 15111713279170.159101Collector / Local Road800 15111891313281.471101Collector / Local Road800 15111913289131.471101Collector / Local Road800 15 Page 20 of 55 Appendix C Dresden NGS Roadway Network Data Table112093013300.782101Collector / Local Road800 15112113309300.782101Collector / Local Road800 15112291513311.275101Collector / Local Road800 15112313319151.275101Collector / Local Road800 15112490413323.293101Collector / Local Road800 15112513329043.293101Collector / Local Road800 15112690313324.557101Collector / Local Road800 15112713329034.557101Collector / Local Road800 15112811613356.026101Collector / Local Road800 15112913351166.026101Collector / Local Road800 15113011313367.745101Collector / Local Road800 15113113361137.745101Collector / Local Road800 151132133713393.878101Collector / Local Road800 151133133913373.878101Collector / Local Road800 15113423913376.503101Collector / Local Road800 15113513372396.503101Collector / Local Road800 151136133713383.309101Collector / Local Road800 151137133813373.309101Collector / Local Road800 15113826913406.146101Collector / Local Road800 15113913402696.146101Collector / Local Road800 15114028013422.548101Collector / Local Road800 15114113422802.548101Collector / Local Road800 15114258813413.287101Collector / Local Road800 15114313415883.287101Collector / Local Road800 15114464013431.943101Collector / Local Road800 15114513436401.943101Collector / Local Road800 15114665213441.547101Collector / Local Road800 15114713446521.547101Collector / Local Road800 15114866213451.747101Collector / Local Road800 15114913456621.747101Collector / Local Road800 15115063113471.529101Collector / Local Road800 15115113476311.529101Collector / Local Road800 15115265713481.958101Collector / Local Road800 15115313486571.958101Collector / Local Road800 15115466913490.89101Collector / Local Road800 15115513496690.89101Collector / Local Road800 15115663013503.313101Collector / Local Road800 15115713506303.313101Collector / Local Road800 151158135113522.068101Collector / Local Road800 151159135213512.068101Collector / Local Road800 15116062813520.545101Collector / Local Road800 15116113526280.545101Collector / Local Road800 15116262913520.471101Collector / Local Road800 15116313526290.471101Collector / Local Road800 151164135413551.547112Collector / Local Road1600 151165135513541.547112Collector / Local Road1600 151166135313544.008122Principal Arterial 2800 251167135413534.008122Principal Arterial 2800 25116885713536.906122Principal Arterial 2800 35116913538576.906122Principal Arterial 2800 35117014113563.884101Collector / Local Road800 15117113561413.884101Collector / Local Road800 151172130713572.374101Collector / Local Road800 151173135713072.374101Collector / Local Road800 15117416613581.891101Collector / Local Road800 15117513581661.891101Collector / Local Road800 15 Page 21 of 55 Appendix C Dresden NGS Roadway Network Data Table117616513592.916101Collector / Local Road800 15117713591652.916101Collector / Local Road800 15117816813612.509101Collector / Local Road800 15117913611682.509101Collector / Local Road800 15118016913601.154101Collector / Local Road800 15118113601691.154101Collector / Local Road800 15118218013622.302101Collector / Local Road800 15118313621802.302101Collector / Local Road800 15118414613634.921101Collector / Local Road800 15118513631464.921101Collector / Local Road800 151186136413651.936101Collector / Local Road800 151187136513641.936101Collector / Local Road800 15118824313643.878101Collector / Local Road800 15118913642433.878101Collector / Local Road800 15119095813673.715101Collector / Local Road800 15119113679583.715101Collector / Local Road800 15119297213691.667101Collector / Local Road800 15119313699721.667101Collector / Local Road800 15119497013680.702101Collector / Local Road800 15119513689700.702101Collector / Local Road800 15119696913700.725101Collector / Local Road800 15119713709690.725101Collector / Local Road800 15119820413720.963101Collector / Local Road800 15119913722040.963101Collector / Local Road800 15120022013711.722101Collector / Local Road800 15120113712201.722101Collector / Local Road800 15120220613731.913101Collector / Local Road800 15120313732061.913101Collector / Local Road800 15120422313742.467101Collector / Local Road800 15120513742232.467101Collector / Local Road800 15120699613771.712101Collector / Local Road800 15120713779961.712101Collector / Local Road800 15120899613785.112101Collector / Local Road800 15120913789965.112101Collector / Local Road800 151210102213800.874101Collector / Local Road800 151211138010220.874101Collector / Local Road800 151212100213813.299101Collector / Local Road800 151213138110023.299101Collector / Local Road800 15121499413831.665101Collector / Local Road800 15121513839941.665101Collector / Local Road800 15121689013820.561101Collector / Local Road800 15121713828900.561101Collector / Local Road800 15121899213830.755101Collector / Local Road800 15121913839920.755101Collector / Local Road800 15122099013843.076101Collector / Local Road800 15122113849903.076101Collector / Local Road800 15122298713853.059101Collector / Local Road800 15122313859873.059101Collector / Local Road800 15122495713871.652101Collector / Local Road800 15122513879571.652101Collector / Local Road800 15122695213861.667101Collector / Local Road800 15122713869521.667101Collector / Local Road800 15122895713863.317101Collector / Local Road800 15122913869573.317101Collector / Local Road800 15123095913881.96101Collector / Local Road800 15123113889591.96101Collector / Local Road800 15 Page 22 of 55 Appendix C Dresden NGS Roadway Network Data Table123299513894.798101Collector / Local Road800 15123313899954.798101Collector / Local Road800 15123490813909.156101Collector / Local Road800 15123513909089.156101Collector / Local Road800 151236109813910.794102Collector / Local Road800 151237139110980.794101Collector / Local Road800 15123821413931.093121 Minor Arterial 1300 40123913932141.093121 Minor Arterial 1300 4012408498500.065101Collector / Local Road800 1512418508490.065101Collector / Local Road800 15124260613962.948101Collector / Local Road800 15124313966062.948101Collector / Local Road800 15124411913980.073121 Minor Arterial 1300 40124513981190.073121 Minor Arterial 1300 4012469349350.095122 Major Arterial 2700 3512479359340.095122 Major Arterial 2700 3512483663670.021101Collector / Local Road800 151249113220.284101Collector / Local Road800 251250132210.284101Collector / Local Road800 251251213250.399101Collector / Local Road800 251252132520.399101Collector / Local Road800 251253313270.521101Collector / Local Road800 251254132730.521101Collector / Local Road800 251255413260.151101Collector / Local Road800 251256132640.151101Collector / Local Road800 251257513280.925101Collector / Local Road800 251258132850.925101Collector / Local Road800 251259613310.108101Collector / Local Road800 251260133160.108101Collector / Local Road800 251261713320.206101Collector / Local Road800 251262133270.206101Collector / Local Road800 251263813330.517101Collector / Local Road800 251264133380.517101Collector / Local Road800 251265913642.449101Collector / Local Road800 251266136492.449101Collector / Local Road800 2512671013230.501101Collector / Local Road800 2512681323100.501101Collector / Local Road800 2512691113651.214101Collector / Local Road800 2512701365111.214101Collector / Local Road800 251271129541.457101Collector / Local Road800 251272954121.457101Collector / Local Road800 2512731313660.666101Collector / Local Road800 2512741366130.666101Collector / Local Road800 2512751410311.574101Collector / Local Road800 2512761031141.574101Collector / Local Road800 251277159330.168101Collector / Local Road800 251278933150.168101Collector / Local Road800 251279169320.4101Collector / Local Road800 251280932160.4101Collector / Local Road800 2512811713300.587101Collector / Local Road800 2512821330170.587101Collector / Local Road800 2512831810340.245101Collector / Local Road800 2512841034180.245101Collector / Local Road800 251285199380.302101Collector / Local Road800 251286938190.302101Collector / Local Road800 2512872013341.06101Collector / Local Road800 25 Page 23 of 55 Appendix C Dresden NGS Roadway Network Data Table12881334201.06101Collector / Local Road800 251289211212.477101Collector / Local Road800 251290121212.477101Collector / Local Road800 2512912213380.646101Collector / Local Road800 2512921338220.646101Collector / Local Road800 2512932313700.23101Collector / Local Road800 2512941370230.23101Collector / Local Road800 2512952413670.339101Collector / Local Road800 2512961367240.339101Collector / Local Road800 2512972513680.15101Collector / Local Road800 2512981368250.15101Collector / Local Road800 2512992613860.798101Collector / Local Road800 2513001386260.798101Collector / Local Road800 2513012713870.175101Collector / Local Road800 2513021387270.175101Collector / Local Road800 2513032813880.987101Collector / Local Road800 2513041388280.987101Collector / Local Road800 2513052913630.883101Collector / Local Road800 2513061363290.883101Collector / Local Road800 2513073013690.599101Collector / Local Road800 2513081369300.599101Collector / Local Road800 2513093113770.879101Collector / Local Road800 2513101377310.879101Collector / Local Road800 2513113213760.226101Collector / Local Road800 2513121376320.226101Collector / Local Road800 2513133313750.097101Collector / Local Road800 2513141375330.097101Collector / Local Road800 2513153413850.809101Collector / Local Road800 2513161385340.809101Collector / Local Road800 2513173513780.811101Collector / Local Road800 2513181378350.811101Collector / Local Road800 2513193613951.027101Collector / Local Road800 2513201395361.027101Collector / Local Road800 2513213713962.779101Collector / Local Road800 2513221396372.779101Collector / Local Road800 2513233813240.186101Collector / Local Road800 2513241324380.186101Collector / Local Road800 2513253913421.004101Collector / Local Road800 2513261342391.004101Collector / Local Road800 2513274013410.278101Collector / Local Road800 2513281341400.278101Collector / Local Road800 2513294113970.203101Collector / Local Road800 2513301397410.203101Collector / Local Road800 2513314213430.607101Collector / Local Road800 2513321343420.607101Collector / Local Road800 251333435941.216101Collector / Local Road800 251334594431.216101Collector / Local Road800 2513354413510.699101Collector / Local Road800 2513361351440.699101Collector / Local Road800 2513374513460.272101Collector / Local Road800 2513381346450.272101Collector / Local Road800 2513394613931.561101Collector / Local Road800 2513401393461.561101Collector / Local Road800 2513414713621.224101Collector / Local Road800 2513421362471.224101Collector / Local Road800 251343481810.168101Collector / Local Road800 25 Page 24 of 55 Appendix C Dresden NGS Roadway Network Data Table1344181480.168101Collector / Local Road800 2513454913940.61101Collector / Local Road800 2513461394490.61101Collector / Local Road800 2513475013611.384101Collector / Local Road800 2513481361501.384101Collector / Local Road800 2513495113600.819101Collector / Local Road800 2513501360510.819101Collector / Local Road800 2513515213710.359101Collector / Local Road800 2513521371520.359101Collector / Local Road800 2513535213720.379101Collector / Local Road800 2513541372520.379101Collector / Local Road800 2513555313730.399101Collector / Local Road800 2513561373530.399101Collector / Local Road800 251357542110.172101Collector / Local Road800 251358211540.172101Collector / Local Road800 251359552030.783101Collector / Local Road800 251360203550.783101Collector / Local Road800 251361562302.797101Collector / Local Road800 251362230562.797101Collector / Local Road800 251363572412.022101Collector / Local Road800 251364241572.022101Collector / Local Road800 2513655812822.667101Collector / Local Road800 2513661282582.667101Collector / Local Road800 2513675913741.447101Collector / Local Road800 2513681374591.447101Collector / Local Road800 2513696011191.282101Collector / Local Road800 2513701119601.282101Collector / Local Road800 2513716113800.031101Collector / Local Road800 2513721380610.031101Collector / Local Road800 2513736213790.338101Collector / Local Road800 2513741379620.338101Collector / Local Road800 2513756310110.391101Collector / Local Road800 2513761011630.391101Collector / Local Road800 2513776410420.445101Collector / Local Road800 2513781042640.445101Collector / Local Road800 2513796510242.022101Collector / Local Road800 2513801024652.022101Collector / Local Road800 2513816613810.654101Collector / Local Road800 2513821381660.654101Collector / Local Road800 2513836713830.301101Collector / Local Road800 2513841383670.301101Collector / Local Road800 2513856813840.349101Collector / Local Road800 2513861384680.349101Collector / Local Road800 2513876913821.069101Collector / Local Road800 2513881382691.069101Collector / Local Road800 2513897013891.419101Collector / Local Road800 2513901389701.419101Collector / Local Road800 251391718770.799101Collector / Local Road800 251392877710.799101Collector / Local Road800 2513937210351.167101Collector / Local Road800 2513941035721.167101Collector / Local Road800 2513957313290.267101Collector / Local Road800 2513961329730.267101Collector / Local Road800 2513977413900.531101Collector / Local Road800 2513981390740.531101Collector / Local Road800 2513997513980.985101Collector / Local Road800 25 Page 25 of 55 Appendix C Dresden NGS Roadway Network Data Table14001398750.985101Collector / Local Road800 2514017612860.942101Collector / Local Road800 2514021286760.942101Collector / Local Road800 2514037713354.457101Collector / Local Road800 2514041335774.457101Collector / Local Road800 2514057813361.857101Collector / Local Road800 2514061336781.857101Collector / Local Road800 2514077913392.722101Collector / Local Road800 2514081339792.722101Collector / Local Road800 2514098013401.234101Collector / Local Road800 2514101340801.234101Collector / Local Road800 251411815610.601101Collector / Local Road800 251412561810.601101Collector / Local Road800 251413823741.386101Collector / Local Road800 251414374821.386101Collector / Local Road800 251415835730.128101Collector / Local Road800 251416573830.128101Collector / Local Road800 251417844070.349101Collector / Local Road800 251418407840.349101Collector / Local Road800 251419854580.166101Collector / Local Road800 251420458850.166101Collector / Local Road800 251421866510.238101Collector / Local Road800 251422651860.238101Collector / Local Road800 2514238712501.647101Collector / Local Road800 2514241250871.647101Collector / Local Road800 2514258813440.83101Collector / Local Road800 2514261344880.83101Collector / Local Road800 2514278913451.264101Collector / Local Road800 2514281345891.264101Collector / Local Road800 2514299013470.266101Collector / Local Road800 2514301347900.266101Collector / Local Road800 2514319113480.622101Collector / Local Road800 2514321348910.622101Collector / Local Road800 2514339213490.158101Collector / Local Road800 2514341349920.158101Collector / Local Road800 2514359313501.391101Collector / Local Road800 2514361350931.391101Collector / Local Road800 2514379413560.318101Collector / Local Road800 2514381356940.318101Collector / Local Road800 2514399513581.018101Collector / Local Road800 2514401358951.018101Collector / Local Road800 2514419613591.08101Collector / Local Road800 2514421359961.08101Collector / Local Road800 2514439713570.385101Collector / Local Road800 2514441357970.385101Collector / Local Road800 251445983631.491101Collector / Local Road800 251446363981.491101Collector / Local Road800 2514479912782.025101Collector / Local Road800 2514481278992.025101Collector / Local Road800 2514491004151.093101Collector / Local Road800 2514504151001.093101Collector / Local Road800 25145110113920.167101Collector / Local Road800 25145213921010.167101Collector / Local Road800 25145310212100.08101Collector / Local Road800 25145412101020.08101Collector / Local Road800 25145510312080.198101Collector / Local Road800 25 Page 26 of 55 Appendix C Dresden NGS Roadway Network Data Table145612081030.198101Collector / Local Road800 25145710412070.416101Collector / Local Road800 25145812071040.416101Collector / Local Road800 25145910510730.365101Collector / Local Road800 25146010731050.365101Collector / Local Road800 25146110610681.181101Collector / Local Road800 25146210681061.181101Collector / Local Road800 25146310713551.065101Collector / Local Road800 25146413551071.065101Collector / Local Road800 25146510813910.218101Collector / Local Road800 25146613911080.218102Collector / Local Road800 25146710912050.635101Collector / Local Road800 25146812051090.635101Collector / Local Road800 25146911012930.496101Collector / Local Road800 25147012931100.496102Collector / Local Road800 25147136913991.966122 Freeway 4100 651472109014001.02122 Freeway 4100 6514731171182.703121Principal Arterial 1600 5514741181172.703121Principal Arterial 1600 5514751111214.326121 Major Arterial 1300 4514761211114.326121 Major Arterial 1300 4514771181200.168111 Minor Arterial 1300 3014781201180.168111 Minor Arterial 1300 3014791201220.663111Collector / Local Road1300 3014801221200.663111Collector / Local Road1300 3014811222370.347121Collector / Local Road1300 4014822371220.347121Collector / Local Road1300 40148312312862.079121 Major Arterial 1300 45148412861232.079121 Major Arterial 1300 45148511912166.241121Principal Arterial 1600 55148612161196.241121Principal Arterial 1600 5514871258982.016121Principal Arterial 1600 5514888981252.016121Principal Arterial 1600 5514891269001.996121 Major Arterial 1300 4514909001261.996121 Major Arterial 1300 4514911331383.216121Principal Arterial 1600 5514921381333.216121Principal Arterial 1600 5514931462431.958121 Major Arterial 1300 4514942431461.958121 Major Arterial 1300 4514951331762.008121Principal Arterial 1600 5514961761332.008121Principal Arterial 1600 5514971558502.529122Principal Arterial 3650 5514981541562.335111 Minor Arterial 1300 3514991561542.335111 Minor Arterial 1300 3515001611621.997121Principal Arterial 1600 5515011621611.997121Principal Arterial 1600 5515021641764.016121 Major Arterial 1300 4515031761644.016121 Major Arterial 1300 45150416413071.996121 Major Arterial 1300 45150513071641.996121 Major Arterial 1300 45150616513071.996121 Major Arterial 1300 45150713071651.996121 Major Arterial 1300 4515081671681.808121 Major Arterial 1300 4515091681671.808121 Major Arterial 1300 4515101702500.147121Collector / Local Road1300 4015112501700.147121Collector / Local Road1300 40 Page 27 of 55 Appendix C Dresden NGS Roadway Network Data Table15121761862.017121Principal Arterial 1600 5515131861762.017121Principal Arterial 1600 5515141711770.599121Principal Arterial 1600 3015151771710.599121Principal Arterial 1600 3015161771780.125121Principal Arterial 1600 3015171781770.125121Principal Arterial 1600 3015181781790.125121Principal Arterial 1600 3015191791780.125121Principal Arterial 1600 3015201791800.439121Principal Arterial 1600 3015211801790.439121Principal Arterial 1600 3015221791810.242111 Major Arterial 1300 3015231811790.242111 Major Arterial 1300 3015241802490.245121Principal Arterial 1600 3515252491800.245121Principal Arterial 1600 3515261731821.155121 Major Arterial 1300 4515271821731.155121 Major Arterial 1300 4515281811830.282111 Major Arterial 1300 3015291831810.282111 Major Arterial 1300 3015301891900.539121 Minor Arterial 1300 4015311901890.539121 Minor Arterial 1300 4015322012020.125121 Major Arterial 1300 4015332022010.125121 Major Arterial 1300 4015342032261.213121 Major Arterial 1300 5515352262031.213121 Major Arterial 1300 5515362022040.374121 Major Arterial 1300 4015372042020.374121 Major Arterial 1300 4015382042090.333121 Major Arterial 1300 4015392092040.333121 Major Arterial 1300 4015402052080.165111 Major Arterial 1300 3015412082050.165111 Major Arterial 1300 3015422072090.368111 Major Arterial 1300 3015432092070.368111 Major Arterial 1300 3015442082100.097121Principal Arterial 1600 3015452102080.097121Principal Arterial 1600 3015462129820.363121 Ramp 1500 3515472092190.296121Collector / Local Road1300 4015482192090.296121Collector / Local Road1300 4015492132140.286121Principal Arterial 1600 5515502142130.286121Principal Arterial 1600 5515512142481.989121Principal Arterial 1600 5515522482141.989121Principal Arterial 1600 5515532082240.773121Principal Arterial 1600 4515542242080.773121Principal Arterial 1600 4515552192200.5121Collector / Local Road1300 4515562202190.5121Collector / Local Road1300 4515572202590.425121Collector / Local Road1300 4515582592200.425121Collector / Local Road1300 4515592262312.883121 Major Arterial 1300 4015602312262.883121 Major Arterial 1300 4015612272280.045121Collector / Local Road1300 4015622282270.045121Collector / Local Road1300 4015632352404.908121Principal Arterial 1600 5515642402354.908121Principal Arterial 1600 5515651989680.416121Principal Arterial 1600 4515669681980.416121Principal Arterial 1600 4515671411642.012121 Minor Arterial 1300 40 Page 28 of 55 Appendix C Dresden NGS Roadway Network Data Table15681641412.012121 Minor Arterial 1300 40156923713980.545121 Minor Arterial 1300 40157013982370.545121 Minor Arterial 1300 4015711831870.676111 Major Arterial 1300 3515721871830.676111 Major Arterial 1300 3515731701780.812121Collector / Local Road1300 4015741781700.812121Collector / Local Road1300 4015751701720.791121Collector / Local Road1300 4015761721700.791121Collector / Local Road1300 4015772302322.919121 Major Arterial 1300 4515782322302.919121 Major Arterial 1300 4515792292330.65121Principal Arterial 1600 3515802332290.65121Principal Arterial 1600 3515812102230.431111 Major Arterial 1300 3515822232100.431111 Major Arterial 1300 3515831441541.588121 Major Arterial 1300 4515841541441.588121 Major Arterial 1300 4515852182240.319121Collector / Local Road1300 4515862242180.319121Collector / Local Road1300 4515871922010.869121 Major Arterial 1300 4515882011920.869121 Major Arterial 1300 4515892312344.87121 Major Arterial 1300 5515902342314.87121 Major Arterial 1300 5515911822611.561121 Major Arterial 1300 4515922611821.561121 Major Arterial 1300 45159324913931.995121 Minor Arterial 1300 40159413932491.995121 Minor Arterial 1300 4015951912420.984121 Major Arterial 1300 4515962421910.984121 Major Arterial 1300 4515972531430.858122 Freeway 4100 6515981371480.366122 Freeway 4100 6515999852600.201121 Ramp 1500 3516001111127.042121Principal Arterial 1600 5516011121117.042121Principal Arterial 1600 55160226412260.728122Principal Arterial 3200 45160312262640.728122Principal Arterial 3200 4516042732721.358122 Freeway 4100 6516052742711.347122 Freeway 4100 6516062762750.245122 Freeway 4100 6516072782770.555122 Freeway 4100 6516082792760.585122 Freeway 4100 6516092822810.149121 Minor Arterial 1300 4016102835310.499121Collector / Local Road1300 4016115312830.499121Collector / Local Road1300 4016121962000.433122 Freeway 4100 6516131991940.43122 Freeway 4100 6516141532530.972122 Freeway 4100 6516151482561.067122 Freeway 4100 6516161351370.228122 Freeway 4100 6516171431450.258122 Freeway 4100 6516181601630.471122 Freeway 4100 6516192631580.494122 Freeway 4100 6516202852860.264122Principal Arterial 3200 4516212882870.506122 Freeway 4100 6516222898880.634122 Freeway 4100 6516232918870.447123 Freeway 6150 65 Page 29 of 55 Appendix C Dresden NGS Roadway Network Data Table16242952940.667123 Freeway 6150 6516252966141.617122 Freeway 4100 6516262992980.234122 Freeway 4100 6516275333000.047122 Freeway 4100 6516283043030.475123 Freeway 6150 6516293063050.66122 Freeway 4100 6516303083070.737122 Freeway 4100 6516312943090.218123 Freeway 6150 6516323113100.242123 Freeway 6150 6516333133140.41122 Freeway 4100 6516346173151.09122 Freeway 4100 6516353166170.493122 Freeway 4100 6516363183190.446122 Freeway 4100 6516373203210.261122 Freeway 4100 6516383224800.273121Principal Arterial 1600 4516393235270.122122Principal Arterial 3200 4516406953260.117123 Freeway 6150 6516415213300.307121 Major Arterial 1300 5016424983310.744121 Minor Arterial 1300 4016433333320.26121 Major Arterial 1300 50164413143370.348122 Freeway 4100 6516456026131.14121 Major Arterial 1300 4516466136021.14121 Major Arterial 1300 4516473518540.847121 Major Arterial 1300 4516488543510.847121 Major Arterial 1300 4516493573750.556123Principal Arterial 4800 4516503753570.556123Principal Arterial 4800 4516513645951.009122 Minor Arterial 2600 4016525953641.009122 Minor Arterial 2600 4016533613651.003121 Major Arterial 1300 4516543653611.003121 Major Arterial 1300 4516553663590.272122Principal Arterial 3200 4516563343701.011122Principal Arterial 3200 4516573713731.054121Principal Arterial 1600 4516583733711.054121Principal Arterial 1600 4516593733741.771121Collector / Local Road1300 4016603743731.771121Collector / Local Road1300 4016613733801.002122Principal Arterial 3200 4516623803731.002122Principal Arterial 3200 4516633773381.069122 Freeway 4100 6516643763780.083122Principal Arterial 3200 4516653783760.083122Principal Arterial 3200 4516663803810.708121 Major Arterial 1300 4516673813800.708121 Major Arterial 1300 4516683423811.002121 Major Arterial 1300 4516693813421.002121 Major Arterial 1300 4516703835950.988121 Major Arterial 1300 4516715953830.988121 Major Arterial 1300 4516723833880.917121 Major Arterial 1300 4516733883830.917121 Major Arterial 1300 4516743843900.623122 Major Arterial 2700 4516753903840.623122 Major Arterial 2700 4516763903911.251122 Major Arterial 2700 4516773913901.251122 Major Arterial 2700 4516784005950.506121 Minor Arterial 1300 4016795954000.506121 Minor Arterial 1300 40 Page 30 of 55 Appendix C Dresden NGS Roadway Network Data Table16803863990.731122Principal Arterial 3200 4516813993860.731122Principal Arterial 3200 4516824014020.067121 Major Arterial 1300 4516834024010.067121 Major Arterial 1300 4516843904171.124121Collector / Local Road1300 4016854173901.124121Collector / Local Road1300 4016863814041.007121Collector / Local Road1300 4016874043811.007121Collector / Local Road1300 4016883964050.637121Collector / Local Road1300 4016894053960.637121Collector / Local Road1300 4016903424041.41121Principal Arterial 1600 4516914043421.41121Principal Arterial 1600 4516924024060.56121 Major Arterial 1300 4516934064020.56121 Major Arterial 1300 4516943804091.081121Principal Arterial 1600 4516954093801.081121Principal Arterial 1600 4516964044090.835121 Minor Arterial 1300 4016974094040.835121 Minor Arterial 1300 4016984044070.494121 Minor Arterial 1300 4016994074040.494121 Minor Arterial 1300 4017004084100.028121 Major Arterial 1300 4517014104080.028121 Major Arterial 1300 4517024075710.87121 Minor Arterial 1300 4017035714070.87121 Minor Arterial 1300 4017044104110.028121Collector / Local Road1300 4017054094130.177121Principal Arterial 1600 4517064134090.177121Principal Arterial 1600 4517074154160.53121 Major Arterial 1300 4517084164150.53121 Major Arterial 1300 4517094024270.822121 Major Arterial 1300 4517104274020.822121 Major Arterial 1300 4517114034260.625121 Minor Arterial 1300 4017124264030.625121 Minor Arterial 1300 4017134154260.596121 Major Arterial 1300 4517144264150.596121 Major Arterial 1300 4517154184190.401121Collector / Local Road1300 4017164194180.401121Collector / Local Road1300 4017174194210.123121Collector / Local Road1300 4017184214190.123121Collector / Local Road1300 4017194044220.497121Collector / Local Road1300 4017204224040.497121Collector / Local Road1300 4017213914241.307121 Major Arterial 1300 4517224243911.307121 Major Arterial 1300 4517234114280.54121Collector / Local Road1300 4017244284110.54121Collector / Local Road1300 4017254224231.446121Collector / Local Road1300 4017264234221.446121Collector / Local Road1300 4017274184340.258121Principal Arterial 1600 4517284344180.258121Principal Arterial 1600 4517294004401.093121 Minor Arterial 1300 4017304404001.093121 Minor Arterial 1300 4017314224300.167121Collector / Local Road1300 4017324304220.167121Collector / Local Road1300 4017334094370.673121Collector / Local Road1300 4017344374090.673121Collector / Local Road1300 4017354274280.506122Principal Arterial 3200 45 Page 31 of 55 Appendix C Dresden NGS Roadway Network Data Table17364284270.506122Principal Arterial 3200 4517374364190.249121Principal Arterial 1600 4517384204380.252121Principal Arterial 1600 4517394044310.887121Principal Arterial 1600 4517404314040.887121Principal Arterial 1600 4517414304310.491121Collector / Local Road1300 4017424314300.491121Collector / Local Road1300 4017434334310.105121Principal Arterial 1600 4517444324340.441121Principal Arterial 1600 4517454344320.441121Principal Arterial 1600 4517464344350.123121Principal Arterial 1600 4517474354340.123121Principal Arterial 1600 4517484354360.266121Principal Arterial 1600 4517494364380.15121Principal Arterial 1600 4517504384370.281121Principal Arterial 1600 4517514294550.33121 Major Arterial 1300 4517524554290.33121 Major Arterial 1300 4517534254420.776122Principal Arterial 3200 4517544424250.776122Principal Arterial 3200 4517554314430.226121Principal Arterial 1600 4517564454330.198121Collector / Local Road1300 4517574484360.198121Principal Arterial 1600 4517584384490.198121Principal Arterial 1600 4517594344500.3121Principal Arterial 1600 4517604504340.3121Principal Arterial 1600 4517613464231.085122Principal Arterial 3200 4517624233461.085122Principal Arterial 3200 4517634484440.23121Principal Arterial 1600 4517644494480.149121Principal Arterial 1600 4517654454490.371121Principal Arterial 1600 4517664324510.258121Collector / Local Road1300 4017674514320.258121Collector / Local Road1300 4017684254630.458121 Major Arterial 1300 4517694634250.458121 Major Arterial 1300 4517704514540.522121Collector / Local Road1300 4017714544510.522121Collector / Local Road1300 4017724304610.318121Collector / Local Road1300 4017734614300.318121Collector / Local Road1300 4017744434610.513121 Major Arterial 1300 5017754614430.513121 Major Arterial 1300 5017764474630.871121 Minor Arterial 1300 4017774634470.871121 Minor Arterial 1300 4017784434650.222121 Major Arterial 1300 5017793464621.191121Principal Arterial 1600 4517804623461.191121Principal Arterial 1600 4517814604660.578122Principal Arterial 3200 4517824734570.25121Principal Arterial 1600 4517834674450.283121Collector / Local Road1300 4517844595960.257121Principal Arterial 1600 4517854744700.358122Principal Arterial 3200 4517864714740.35122Principal Arterial 3200 4517874564750.509121Collector / Local Road1300 4017884754560.509121Collector / Local Road1300 4017894674760.294121 Major Arterial 1300 5017904764670.294121 Major Arterial 1300 5017914544770.494121 Minor Arterial 1300 40 Page 32 of 55 Appendix C Dresden NGS Roadway Network Data Table17924774540.494121 Minor Arterial 1300 4017934804730.258121Principal Arterial 1600 4517944754770.627121Collector / Local Road1300 4017954774750.627121Collector / Local Road1300 4017964774800.365121 Minor Arterial 1300 4017974804770.365121 Minor Arterial 1300 4017983543551.445122 Minor Arterial 2600 4017993553541.445122 Minor Arterial 2600 4018004274860.97121 Major Arterial 1300 4518014864270.97121 Major Arterial 1300 4518024814840.506121 Major Arterial 1300 4518034844810.506121 Major Arterial 1300 4518044644850.923121 Major Arterial 1300 4518054854640.923121 Major Arterial 1300 4518064605130.839121 Major Arterial 1300 4518075134600.839121 Major Arterial 1300 4518084814900.185121Principal Arterial 1600 4518094824880.648121Principal Arterial 1600 4518104884820.648121Principal Arterial 1600 4518114244881.062121 Minor Arterial 1300 4018124884241.062121 Minor Arterial 1300 4018134885020.32121Principal Arterial 1600 4518145024880.32121Principal Arterial 1600 4518153194952.283122 Freeway 4100 6518164885040.129121Collector / Local Road1300 4018175044880.129121Collector / Local Road1300 4018185015020.335121Principal Arterial 1600 4518195025010.335121Principal Arterial 1600 4518205025030.262121Collector / Local Road1300 4018215035020.262121Collector / Local Road1300 4018225135180.989121Collector / Local Road1300 4018235185130.989121Collector / Local Road1300 4018244165191.553121 Major Arterial 1300 4518255194161.553121 Major Arterial 1300 4518265185230.989121Collector / Local Road1300 4018275235180.989121Collector / Local Road1300 4018285235310.996121Collector / Local Road1300 4018295315230.996121Collector / Local Road1300 4018308465320.105122Principal Arterial 3200 4518315285380.157122Principal Arterial 3200 4518325346940.795121 Ramp 1500 3518335355390.167122Principal Arterial 3200 4518345395350.167122Principal Arterial 3200 4518353315370.46121 Minor Arterial 1300 4018365373310.46121 Minor Arterial 1300 4018375375390.899121 Minor Arterial 1300 4018385395370.899121 Minor Arterial 1300 40183935513151.737122Principal Arterial 3200 45184013153551.737122Principal Arterial 3200 4518415375440.347121Collector / Local Road1300 4018425445370.347121Collector / Local Road1300 4018435446530.948122Principal Arterial 3200 4518446535440.948122Principal Arterial 3200 4518452815460.513121 Minor Arterial 1300 4018465462810.513121 Minor Arterial 1300 4018475405470.283121Principal Arterial 1600 35 Page 33 of 55 Appendix C Dresden NGS Roadway Network Data Table18485475400.283121Principal Arterial 1600 3518495435450.977121 Major Arterial 1300 4518505455430.977121 Major Arterial 1300 4518512835450.993121 Major Arterial 1300 4518525452830.993121 Major Arterial 1300 4518535465470.203121 Major Arterial 1300 4518545475460.203121 Major Arterial 1300 4518555475480.238121Principal Arterial 1600 3518565485470.238121Principal Arterial 1600 3518575486510.28121Principal Arterial 1600 3518586515480.28121Principal Arterial 1600 3518595505530.536122Principal Arterial 3200 4518605535500.536122Principal Arterial 3200 4518612865560.264122Principal Arterial 3200 4518622685580.592121Collector / Local Road1300 4518635582680.592121Collector / Local Road1300 4518645605610.218122Collector / Local Road2600 4018655615600.218122Collector / Local Road2600 4018665595620.742122Principal Arterial 3200 4518675625590.742122Principal Arterial 3200 4518685615640.304122Collector / Local Road2600 4018695645610.304122Collector / Local Road2600 4018705625630.186121Principal Arterial 1600 4518715635620.186121Principal Arterial 1600 4518723745631.075121Collector / Local Road1300 4018735633741.075121Collector / Local Road1300 4018745645650.466121Collector / Local Road1300 4018755655640.466121Collector / Local Road1300 4018765655660.396121 Minor Arterial 1300 4018775665650.396121 Minor Arterial 1300 4018785665670.125121 Minor Arterial 1300 4018795675660.125121 Minor Arterial 1300 4018802695670.158121 Major Arterial 1300 4518815672690.158121 Major Arterial 1300 4518823415631.008121Collector / Local Road1300 4018835633411.008121Collector / Local Road1300 4018843435631.139121Principal Arterial 1600 4518855633431.139121Principal Arterial 1600 4518862845680.857122 Minor Arterial 2600 4018875682840.857122 Minor Arterial 2600 4018883415690.827121Collector / Local Road1300 4018895693410.827121Collector / Local Road1300 4018902843411121Collector / Local Road1300 4018913412841121Collector / Local Road1300 4018923415700.274121Collector / Local Road1300 4018935703410.274121Collector / Local Road1300 4018943455663.627121 Minor Arterial 1300 4018955663453.627121 Minor Arterial 1300 40189657213101.194121Collector / Local Road1300 40189713105721.194121Collector / Local Road1300 4018982845741.558122 Minor Arterial 2600 4018995742841.558122 Minor Arterial 2600 4019005695711.247122Principal Arterial 3200 4519015715691.247122Principal Arterial 3200 4519025715721.36122 Major Arterial 2700 4519035725711.36122 Major Arterial 2700 45 Page 34 of 55 Appendix C Dresden NGS Roadway Network Data Table19045725730.637122 Major Arterial 2700 4519055735720.637122 Major Arterial 2700 4519065735740.442122 Major Arterial 2700 4519075745730.442122 Major Arterial 2700 4519085755760.614122 Major Arterial 2700 4519095765750.614122 Major Arterial 2700 4519104235710.93122Principal Arterial 3200 4519115714230.93122Principal Arterial 3200 4519125745801.533122 Minor Arterial 2600 4019135805741.533122 Minor Arterial 2600 4019143465791.145121Principal Arterial 1600 4519155793461.145121Principal Arterial 1600 4519165795801.267122Principal Arterial 3200 4519175805791.267122Principal Arterial 3200 4519185805811.097122Principal Arterial 3200 4519195815801.097122Principal Arterial 3200 4519205815821.647122Principal Arterial 3200 4519215825811.647122Principal Arterial 3200 4519223445840.219122Principal Arterial 3200 4519235843440.219122Principal Arterial 3200 4519245785840.164122Principal Arterial 3200 4519255845780.164122Principal Arterial 3200 4519265785850.14122Principal Arterial 3200 4519275855780.14122Principal Arterial 3200 4519285855860.266121Principal Arterial 1600 4519295865850.266121Principal Arterial 1600 4519305865870.306122Principal Arterial 3200 4519315875860.306122Principal Arterial 3200 4519325772900.459122 Freeway 4100 6519333523561.188121 Major Arterial 1300 4519343563521.188121 Major Arterial 1300 4519353473480.473121Principal Arterial 1600 4519363483470.473121Principal Arterial 1600 4519375908540.756121 Major Arterial 1300 4519388545900.756121 Major Arterial 1300 4519395913490.324122Principal Arterial 3200 4519402975362.212122 Freeway 4100 6519414144210.312121Principal Arterial 1600 4519424214140.312121Principal Arterial 1600 4519434194120.384121Principal Arterial 1600 4519443555192.058122Principal Arterial 3200 4519455193552.058122Principal Arterial 3200 4519466016030.55121 Major Arterial 1300 4519476036010.55121 Major Arterial 1300 4519486967050.304122 Minor Arterial 2600 4019497056960.304122 Minor Arterial 2600 4019506056972.59122Principal Arterial 3200 4519516976052.59122Principal Arterial 3200 4519526143062.793122 Freeway 4100 6519536056062.391122Principal Arterial 3200 4519546066052.391122Principal Arterial 3200 4519556076151.424122Principal Arterial 3200 4519566156071.424122Principal Arterial 3200 4519573395970.444122Principal Arterial 3200 4519585973390.444122Principal Arterial 3200 4519596243160.898122 Freeway 4100 65 Page 35 of 55 Appendix C Dresden NGS Roadway Network Data Table19603406082.964121 Major Arterial 1300 4519616083402.964121 Major Arterial 1300 4519625986180.195122Principal Arterial 3200 4519636185980.195122Principal Arterial 3200 4519646186190.439122Principal Arterial 3200 4519656196180.439122Principal Arterial 3200 4519663146091.053122 Freeway 4100 6519673176230.929122 Freeway 4100 65196861912801.158122Principal Arterial 3200 45196912806191.158122Principal Arterial 3200 4519706266311.991121Principal Arterial 1600 5519716316261.991121Principal Arterial 1600 5519726586396.777122Principal Arterial 3650 5519736446521.657121 Major Arterial 1300 4519746526441.657121 Major Arterial 1300 4519756446450.657121Principal Arterial 1600 5019766456440.657121Principal Arterial 1600 5019776456460.632121Principal Arterial 1600 5519786466450.632121Principal Arterial 1600 55197951312501.342121 Major Arterial 1300 45198012505131.342121 Major Arterial 1300 4519816416491121 Major Arterial 1300 4519826496411121 Major Arterial 1300 4519836406501.11121 Major Arterial 1300 4519846506401.11121 Major Arterial 1300 4519855446501.563121Collector / Local Road1300 4019866505441.563121Collector / Local Road1300 4019876486521.1121Collector / Local Road1300 4019886526481.1121Collector / Local Road1300 4019896435411.71122Principal Arterial 3200 4519906486510.284121Principal Arterial 1600 3519916516480.284121Principal Arterial 1600 3519926286390.173121Collector / Local Road1300 4019936396280.173121Collector / Local Road1300 4019946296350.193121Collector / Local Road1300 4019956356290.193121Collector / Local Road1300 4019966436520.988121 Major Arterial 1300 4519976526430.988121 Major Arterial 1300 4519986136273.942121 Major Arterial 1300 4519996276133.942121 Major Arterial 1300 4520006446573.424121Principal Arterial 1600 5520016576443.424121Principal Arterial 1600 5520026366320.466122Principal Arterial 3650 5520036396350.449122Principal Arterial 3650 5520046326582.054122Principal Arterial 3650 5520056276560.711121 Major Arterial 1300 4520066566270.711121 Major Arterial 1300 4520076416620.994121 Major Arterial 1300 4520086626410.994121 Major Arterial 1300 4520096646904.28121Principal Arterial 1600 5520106906644.28121Principal Arterial 1600 5520116646656.445121Principal Arterial 1600 5520126656646.445121Principal Arterial 1600 5520136656712.066121 Major Arterial 1300 4520146716652.066121 Major Arterial 1300 4520156666670.508111 Major Arterial 1300 30 Page 36 of 55 Appendix C Dresden NGS Roadway Network Data Table20166676660.508111 Major Arterial 1300 3020176666680.371121Principal Arterial 1600 3020186686660.371121Principal Arterial 1600 3020196706800.627121Principal Arterial 1600 3520206806700.627121Principal Arterial 1600 3520216266700.454121Principal Arterial 1600 3520226706260.454121Principal Arterial 1600 3520236726771.445121Principal Arterial 1600 5020246776721.445121Principal Arterial 1600 5020251326730.911121Principal Arterial 1600 5020266731320.911121Principal Arterial 1600 50202767013060.12121Principal Arterial 1600 35202813066700.12121Principal Arterial 1600 3520296746770.161121Principal Arterial 1600 4520306776740.161121Principal Arterial 1600 4520316596880.735121 Major Arterial 1300 4520326886590.735121 Major Arterial 1300 4520336636793.017121Principal Arterial 1600 5020346796633.017121Principal Arterial 1600 5020356876881.302121 Major Arterial 1300 4520366886871.302121 Major Arterial 1300 45203768812510.594121Principal Arterial 1600 50203812516880.594121Principal Arterial 1600 5020396816921.32121Principal Arterial 1600 5520406926811.32121Principal Arterial 1600 5520416836840.028121 Minor Arterial 1300 4020426846830.028121 Minor Arterial 1300 4020436836850.066121 Major Arterial 1300 4520446856830.066121 Major Arterial 1300 4520453616873.005121 Major Arterial 1300 4520466873613.005121 Major Arterial 1300 4520476856870.949121 Major Arterial 1300 4520486876850.949121 Major Arterial 1300 4520496606611.991121 Major Arterial 1300 4520506616601.991121 Major Arterial 1300 4520516616654.012121 Major Arterial 1300 4520526656614.012121 Major Arterial 1300 4520534635180.829121 Major Arterial 1300 4520545184630.829121 Major Arterial 1300 4520552875574.145122 Freeway 4100 6520567025774.153122 Freeway 4100 6520572913480.757121 Ramp 1500 3520585045131.978121Collector / Local Road1300 4020595135041.978121Collector / Local Road1300 4020603027033.896122 Freeway 4100 6520615964810.275121Principal Arterial 1600 4520625426421.712122Principal Arterial 3200 4520635975991.029122Principal Arterial 3200 4520645995971.029122Principal Arterial 3200 4520655396990.649122Principal Arterial 3200 4520666995390.649122Principal Arterial 3200 4520678872880.642122 Freeway 4100 6520683707011.011122Principal Arterial 3200 45206959312700.21122 Freeway 4100 6520707032971.638122 Freeway 4100 6520712727102.911122 Freeway 4100 65 Page 37 of 55 Appendix C Dresden NGS Roadway Network Data Table20727107120.278121 Ramp 1500 3520737387140.278121 Ramp 1500 3520748258020.425121 Ramp 1500 3520758038090.393121 Ramp 1500 3520768178180.116122Principal Arterial 3200 4020778188170.116122Principal Arterial 3200 4020788277970.121121 Major Arterial 1300 4520798288270.122121 Major Arterial 1300 4520804968450.34122 Freeway 4100 6520814164170.682121 Major Arterial 1300 4520824174160.682121 Major Arterial 1300 4520833626812.984121Collector / Local Road1300 4020846813622.984121Collector / Local Road1300 4020853994531.771122Principal Arterial 3200 4520864533991.771122Principal Arterial 3200 4520874404532.425121 Minor Arterial 1300 4020884534402.425121 Minor Arterial 1300 4020896378491.97122Principal Arterial 3650 5520908506381.969122Principal Arterial 3650 55209133412781.818121 Minor Arterial 1300 40209212783341.818121 Minor Arterial 1300 4020932102450.399121Principal Arterial 1600 3520942452100.399121Principal Arterial 1600 3520952362473.018121 Major Arterial 1300 5520962472363.018121 Major Arterial 1300 5520972129860.532122 Freeway 4100 6520988538970.389121 Major Arterial 1300 4520998978530.389121 Major Arterial 1300 4521005585590.498122Principal Arterial 3200 4521015595580.498122Principal Arterial 3200 4521028638700.272122Principal Arterial 3200 4521038678650.159122Principal Arterial 3200 4521048708711.15121 Ramp 1500 5521058728670.198121 Ramp 1500 5521068688710.678122 Freeway 4100 6521078759310.163111Collector / Local Road1300 2521089318750.163111Collector / Local Road1300 2521092662680.434121Collector / Local Road1300 4521102682660.434121Collector / Local Road1300 4521112665631.004121Collector / Local Road1300 4021125632661.004121Collector / Local Road1300 4021133793970.516121Principal Arterial 1600 4521143973790.516121Principal Arterial 1600 4521153963970.847121Collector / Local Road1300 4021163973960.847121Collector / Local Road1300 4021174104181.136121 Major Arterial 1300 4521184184101.136121 Major Arterial 1300 4521194284320.584121Principal Arterial 1600 4521204324280.584121Principal Arterial 1600 4521214564632.049121Collector / Local Road1300 4021224634562.049121Collector / Local Road1300 4021233578571.985122Principal Arterial 3200 4521248573571.985122Principal Arterial 3200 4521252242270.609121 Major Arterial 1300 4521262272240.609121 Major Arterial 1300 4521278838840.558122 Freeway 4100 65 Page 38 of 55 Appendix C Dresden NGS Roadway Network Data Table21288858820.854122 Freeway 4100 6521293603580.837122Principal Arterial 3200 4521303638470.508121 Minor Arterial 1300 4021318473630.508121 Minor Arterial 1300 4021323573641.995121 Minor Arterial 1300 4021333643571.995121 Minor Arterial 1300 4021343583670.269122Principal Arterial 3200 45213554912510.725121Principal Arterial 1600 45213612515490.725121Principal Arterial 1600 4521375905941.092122 Minor Arterial 2600 4021385945901.092122 Minor Arterial 2600 4021393974180.962121Principal Arterial 1600 4521404183970.962121Principal Arterial 1600 4521416406420.994121 Major Arterial 1300 4521426426400.994121 Major Arterial 1300 4521438538960.116122 Major Arterial 2700 4521448968530.116122 Major Arterial 2700 4521459019053.514121 Minor Arterial 1300 5521469059013.514121 Minor Arterial 1300 5521479039111.892121Principal Arterial 1600 5521489119031.892121Principal Arterial 1600 5521499099121121 Major Arterial 1300 5521509129091121 Major Arterial 1300 5521519089152.269121 Major Arterial 1300 4521529159082.269121 Major Arterial 1300 4521538659140.177122 Major Arterial 2700 4521549148650.177122 Major Arterial 2700 45215586310460.721121 Major Arterial 1300 55215610468630.721121 Major Arterial 1300 5521579159170.494111 Major Arterial 1300 2521589179150.494111 Major Arterial 1300 25215991610440.657121Collector / Local Road800 45216010449160.657121Collector / Local Road800 4521619179260.745111 Major Arterial 1300 2521629269170.745111 Major Arterial 1300 25216392710330.852121 Major Arterial 1300 40216410339270.852121 Major Arterial 1300 4021659259300.506101Collector / Local Road800 2521669309250.506101Collector / Local Road800 2521678589294.012121 Major Arterial 1300 5521689298584.012121 Major Arterial 1300 5521697409291.905121 Minor Arterial 1300 4021709297401.905121 Minor Arterial 1300 4021719289310.874111Collector / Local Road1300 3021729319280.874111Collector / Local Road1300 3021738759330.64101Collector / Local Road800 2521749338750.64101Collector / Local Road800 2521759359390.41121 Major Arterial 1300 4521769399350.41121 Major Arterial 1300 4521778759360.488121Collector / Local Road1300 4021789368750.488121Collector / Local Road1300 4021799389360.348121Collector / Local Road1300 4021809379410.348111 Major Arterial 1300 2521819419370.348111 Major Arterial 1300 2521829399380.4121Collector / Local Road1300 4021839399400.362111 Major Arterial 1300 25 Page 39 of 55 Appendix C Dresden NGS Roadway Network Data Table21849409390.362111 Major Arterial 1300 25218594010340.179111 Major Arterial 1300 25218610349400.179111 Major Arterial 1300 25218794110340.128111 Major Arterial 1300 25218810349410.128111 Major Arterial 1300 25218994410350.942121Collector / Local Road1300 55219010359440.942121Collector / Local Road1300 55219194510351.153121Collector / Local Road1300 55219210359451.153121Collector / Local Road1300 55219394410360.638121 Major Arterial 1300 45219410369440.638121 Major Arterial 1300 4521959299551.943121 Major Arterial 1300 5521969559291.943121 Major Arterial 1300 5521979479510.722121 Major Arterial 1300 5021989519470.722121 Major Arterial 1300 5021999519520.286121 Major Arterial 1300 4522009529510.286121 Major Arterial 1300 4522019529531.008121 Major Arterial 1300 4522029539521.008121 Major Arterial 1300 4522039599611.498121 Major Arterial 1300 5522049619591.498121 Major Arterial 1300 55220587710393.01121 Major Arterial 1300 55220610398773.01121 Major Arterial 1300 55220796310390.796121 Major Arterial 1300 40220810399630.796121 Major Arterial 1300 4022099689690.378121Principal Arterial 1600 3522109699680.378121Principal Arterial 1600 3522119699701.26121Principal Arterial 1600 3522129709691.26121Principal Arterial 1600 3522139709710.074121Principal Arterial 1600 3522149719700.074121Principal Arterial 1600 3522159719720.209121Principal Arterial 1600 3522169729710.209121Principal Arterial 1600 3522179759761.855121Principal Arterial 1600 4522189769751.855121Principal Arterial 1600 4522199852171.112122 Freeway 4100 6522209829831.899121 Major Arterial 1300 4522219839821.899121 Major Arterial 1300 4522229849871.993121Collector / Local Road800 4522239879841.993121Collector / Local Road800 4522248919902121Collector / Local Road800 4522259908912121Collector / Local Road800 4522269919920.479111 Major Arterial 1300 3022279929910.479111 Major Arterial 1300 3022289929930.274111 Major Arterial 1300 3022299939920.274111 Major Arterial 1300 3022309939954.095121 Major Arterial 1300 5522319959934.095121 Major Arterial 1300 55223299410021.186121Principal Arterial 1600 40223310029941.186121Principal Arterial 1600 40223499512214.921121 Major Arterial 1300 55223512219954.921121 Major Arterial 1300 5522362289992.653121 Major Arterial 1300 5522379992282.653121 Major Arterial 1300 5522389989990.037121Collector / Local Road1300 4022399999980.037121Collector / Local Road1300 40 Page 40 of 55 Appendix C Dresden NGS Roadway Network Data Table224099610031.506121 Major Arterial 1300 45224110039961.506121 Major Arterial 1300 452242100210212.772121Principal Arterial 1600 552243102110022.772121Principal Arterial 1600 552244100510080.333111 Minor Arterial 1300 302245100810050.333111 Minor Arterial 1300 302246100810101.508121 Major Arterial 1300 452247101010081.508121 Major Arterial 1300 452248102110241.992121 Major Arterial 1300 452249102410211.992121 Major Arterial 1300 452250100510121.181121 Major Arterial 1300 452251101210051.181121 Major Arterial 1300 452252101010110.491121 Major Arterial 1300 452253101110100.491121 Major Arterial 1300 452254101110120.476121 Major Arterial 1300 452255101210110.476121 Major Arterial 1300 45225685510150.852121 Major Arterial 1300 45225710158550.852121 Major Arterial 1300 452258101010170.788121 Major Arterial 1300 452259101710100.788121 Major Arterial 1300 452260101510242.012121 Major Arterial 1300 452261102410152.012121 Major Arterial 1300 452262102210481.743121 Major Arterial 1300 452263104810221.743121 Major Arterial 1300 452264102210230.239121 Major Arterial 1300 452265102310220.239121 Major Arterial 1300 452266101710233.529121 Major Arterial 1300 452267102310173.529121 Major Arterial 1300 452268102110254.014121Principal Arterial 1600 552269102510214.014121Principal Arterial 1600 552270104110424.436121 Minor Arterial 1300 402271104210414.436121 Minor Arterial 1300 402272102010267.682121 Major Arterial 1300 452273102610207.682121 Major Arterial 1300 4522748958960.276122 Minor Arterial 2600 4022758968950.276122 Minor Arterial 2600 40227687610283.248121Collector / Local Road1300 40227710288763.248121Collector / Local Road1300 40227895010291.741121 Major Arterial 1300 45227910299501.741121 Major Arterial 1300 45228094610291.255121 Major Arterial 1300 45228110299461.255121 Major Arterial 1300 45228294610431.23121 Minor Arterial 1300 40228310439461.23121 Minor Arterial 1300 4022849489541.891121 Major Arterial 1300 5022859549481.891121 Major Arterial 1300 50228695810431.353121Collector / Local Road1300 40228710439581.353121Collector / Local Road1300 40228896510302.419121 Major Arterial 1300 45228910309652.419121 Major Arterial 1300 4522909659661.838111 Minor Arterial 1300 3522919669651.838111 Minor Arterial 1300 3522929729730.445121Principal Arterial 1600 3522939739720.445121Principal Arterial 1600 3522949749841.989121 Major Arterial 1300 4522959849741.989121 Major Arterial 1300 45 Page 41 of 55 Appendix C Dresden NGS Roadway Network Data Table22969379420.251111 Major Arterial 1300 2522979429370.251111 Major Arterial 1300 2522989329400.434101Collector / Local Road800 2522999409320.434101Collector / Local Road800 2523009339340.263101Collector / Local Road800 2523019349330.263101Collector / Local Road800 2523029249340.64112 Major Arterial 2700 3523039349240.64112 Major Arterial 2700 3523049249250.458111 Major Arterial 1300 3023059259240.458111 Major Arterial 1300 3023068589441.002121 Major Arterial 1300 5523079448581.002121 Major Arterial 1300 55230894310362.043111 Major Arterial 1300 35230910369432.043111 Major Arterial 1300 35231085910321.085121 Major Arterial 1300 50231110328591.085121 Major Arterial 1300 50231290110385.022121 Minor Arterial 1300 55231310389015.022121 Minor Arterial 1300 55231495510542.445121 Major Arterial 1300 55231510549552.445121 Major Arterial 1300 5523169919940.068121 Major Arterial 1300 4023179949910.068121 Major Arterial 1300 4023188929910.259121 Major Arterial 1300 4023199918920.259121 Major Arterial 1300 4023202279982.682121 Major Arterial 1300 4523219982272.682121 Major Arterial 1300 452322101210200.252121 Major Arterial 1300 452323102010120.252121 Major Arterial 1300 4523248798970.505121 Major Arterial 1300 4523258978790.505121 Major Arterial 1300 45232690610455.049121 Major Arterial 1300 55232710459065.049121 Major Arterial 1300 552328101910200.901121 Major Arterial 1300 452329102010190.901121 Major Arterial 1300 452330101710190.913121 Major Arterial 1300 452331101910170.913121 Major Arterial 1300 45233295010310.612121 Major Arterial 1300 45233310319500.612121 Major Arterial 1300 45233499810471.773111 Minor Arterial 1300 35233510479981.773111 Minor Arterial 1300 352336104910500.049111 Major Arterial 1300 302337105010490.049111 Major Arterial 1300 302338105010510.214121 Major Arterial 1300 402339105110500.214121 Major Arterial 1300 402340104910520.187111 Major Arterial 1300 352341105210490.187111 Major Arterial 1300 35234284810610.116123Principal Arterial 4200 30234310618480.116123Principal Arterial 4200 302344106210630.23122Principal Arterial 2800 352345106310620.23122Principal Arterial 2800 35234675510660.241121 Major Arterial 1300 45234710667550.241121 Major Arterial 1300 452348106810690.59122Principal Arterial 3200 452349106910680.59122Principal Arterial 3200 45235078213040.255121Principal Arterial 1600 30235113047820.255121Principal Arterial 1600 30 Page 42 of 55 Appendix C Dresden NGS Roadway Network Data Table235281310710.496121 Major Arterial 1300 45235310718130.496121 Major Arterial 1300 452354107512340.212121 Major Arterial 1300 452355123410750.212121 Major Arterial 1300 45235676612330.111122 Major Arterial 2700 45235712337660.111122 Major Arterial 2700 452358107712330.693121 Major Arterial 1300 452359123310770.693121 Major Arterial 1300 45236081310770.678121 Major Arterial 1300 45236110778130.678121 Major Arterial 1300 45236270912110.469121 Major Arterial 1300 55236312117090.469121 Major Arterial 1300 552364107912161.558121Principal Arterial 1600 452365121610791.558121Principal Arterial 1600 452366121212163.036121 Major Arterial 1300 552367121612123.036121 Major Arterial 1300 552368105610600.704111 Major Arterial 1300 352369106010560.704111 Major Arterial 1300 35237079210858.38121 Major Arterial 1300 55237110857928.38121 Major Arterial 1300 552372108510861.208121 Major Arterial 1300 552373108610851.208121 Major Arterial 1300 55237410908100.582121 Ramp 1500 35237582310930.511122Principal Arterial 3650 50237610938230.511122Principal Arterial 3650 50237782110930.396122Principal Arterial 3650 50237810938210.396122Principal Arterial 3650 50237910968150.172121 Minor Arterial 1300 40238081510970.181121Principal Arterial 1600 30238110978150.181121Principal Arterial 1600 30238278810990.129121Principal Arterial 1600 30238310997880.129121Principal Arterial 1600 30238482610855.346121 Major Arterial 1300 45238510858265.346121 Major Arterial 1300 45238615712565.039121 Major Arterial 1300 45238712561575.039121 Major Arterial 1300 45238818611133.088121Principal Arterial 1600 55238911131863.088121Principal Arterial 1600 552390110711140.219121 Ramp 1500 352391111611180.504121 Major Arterial 1300 402392111811160.504121 Major Arterial 1300 402393111811190.203121 Major Arterial 1300 452394111911180.203121 Major Arterial 1300 452395113411280.218121 Ramp 1500 352396113211960.229121 Major Arterial 1300 452397119611320.229121 Major Arterial 1300 452398119612550.373121 Major Arterial 1300 402399125511960.373121 Major Arterial 1300 402400111811402.109121 Major Arterial 1300 402401114011182.109121 Major Arterial 1300 402402125912840.346121Principal Arterial 1600 452403128412590.346121Principal Arterial 1600 452404114011692.181121 Major Arterial 1300 552405116911402.181121 Major Arterial 1300 552406114411450.877122Principal Arterial 2800 352407114511440.877122Principal Arterial 2800 35 Page 43 of 55 Appendix C Dresden NGS Roadway Network Data Table2408114511460.185122Principal Arterial 2800 352409114611450.185122Principal Arterial2800352410114611490.146122Principal Arterial280025 2411114911460.146122Principal Arterial280025 2412115011520.143122Principal Arterial280025 2413115211500.143122Principal Arterial280025 2414114311570.718122Principal Arterial280035 2415115711430.718122Principal Arterial280035 2416115511560.225122Principal Arterial280030 2417115611550.225122Principal Arterial280030 2418115211560.386122Principal Arterial280030 2419115611520.386122Principal Arterial280030 2420114911640.182122Major Arterial270045 2421116511500.184122Major Arterial270045 2422115911600.226122Principal Arterial280035 2423116011590.226122Principal Arterial280035 2424116011610.241122Principal Arterial320040 2425116111600.241122Principal Arterial320040 2426115511680.185122Minor Arterial260040 2427116811550.185122Minor Arterial260040 2428114311700.864111Collector / Local Road130035 2429117011430.864111Collector / Local Road130035 2430116411710.263122Major Arterial270045 2431117311650.261122Major Arterial270045 2432115911720.703121Collector / Local Road130040 2433117211590.703121Collector / Local Road130040 243485111692.996121Principal Arterial160055 243511698512.996121Principal Arterial160055 2436117011740.199111Collector / Local Road130035 2437117411700.199111Collector / Local Road130035 2438117411760.436121Collector / Local Road130040 2439117611740.436121Collector / Local Road130040 2440117511770.436111Minor Arterial130035 2441117711750.436111Minor Arterial130035 2442117711810.691121Minor Arterial130040 2443118111770.691121Minor Arterial130040 2444117511790.822121Principal Arterial160045 2445117911750.822121Principal Arterial160045 2446117111800.756122Major Arterial270045 2447118011710.756122Major Arterial270045 2448117911810.268121Collector / Local Road130040 2449118111790.268121Collector / Local Road130040 2450118211831.961122Major Arterial130045 2451118311821.961121Major Arterial130045 2452118211841.671122Principal Arterial320045 2453118411821.671122Principal Arterial320045 2454113711390.489122Principal Arterial280030 2455113911370.489122Principal Arterial280030 2456114511750.929122Principal Arterial320045 2457117511450.929122Principal Arterial320045 2458114311440.603122Principal Arterial280035 2459114411430.603122Principal Arterial280035 2460126311340.483122Principal Arterial320045 2461113511220.282121Ramp150035 2462119212880.72122Principal Arterial320045 2463128811920.72122Principal Arterial320045 Page 44 of 55 Appendix C Dresden NGS Roadway Network Data Table2464125812811.207121Principal Arterial 1600 452465128112581.207121Principal Arterial1600452466119512620.142122Principal Arterial320045 2467121312200.723121Major Arterial130055 2468122012130.723121Major Arterial130055 24697397424.823121Major Arterial130045 24707427394.823121Major Arterial130045 2471120212030.39121Collector / Local Road130040 2472120312020.39121Collector / Local Road130040 2473107212040.494121Major Arterial130045 2474120410720.494121Major Arterial130045 2475106812020.34122Collector / Local Road260040 2476120210680.34122Collector / Local Road260040 2477107712040.631121Collector / Local Road130040 2478120410770.631121Collector / Local Road130040 2479105610570.491111Major Arterial130035 2480105710560.491111Major Arterial130035 2481105610810.242121Major Arterial130045 2482108110560.242121Major Arterial130045 248381412060.259101Collector / Local Road80025 248412068140.259101Collector / Local Road80025 2485122212980.45111Major Arterial130035 2486129812220.45111Major Arterial130035 248778712145.473121Principal Arterial160055 248812147875.473121Principal Arterial160055 2489109412154.495121Minor Arterial130040 2490121510944.495121Minor Arterial130040 249181513920.776101Collector / Local Road80015 249213928150.776101Collector / Local Road80015 2493109312080.143101Collector / Local Road80030 2494120810930.143101Collector / Local Road80030 2495108712080.158101Collector / Local Road80030 2496120810870.158101Collector / Local Road80030 2497109512100.18121Collector / Local Road130040 2498121010950.18121Collector / Local Road130040 249978510260.12121Minor Arterial130040 250010267850.12121Minor Arterial130040 25017447450.311121Ramp150035 250282410864.526121Major Arterial130045 250310868244.526121Major Arterial130045 250479213005.722121Major Arterial130045 250513007925.722121Major Arterial130045 2506108412694.019111Minor Arterial130035 2507126910844.019111Minor Arterial130035 2508122112692.02121Major Arterial130050 2509126912212.02121Major Arterial130050 2510105812240.264122Major Arterial270030 2511122410580.264122Major Arterial270030 251273912125.034121Major Arterial130055 251312127395.034121Major Arterial130055 251485110484.017121Collector / Local Road130040 251510488514.017121Collector / Local Road130040 251682110870.567121Major Arterial130045 251710878210.567121Major Arterial130045 251811007960.386121Principal Arterial160055 251983011000.325121Principal Arterial160055 Page 45 of 55 Appendix C Dresden NGS Roadway Network Data Table252083612170.729121 Major Arterial 1300 55252112178360.729121 Major Arterial 1300 552522122112223.548121 Major Arterial 1300 502523122212213.548121 Major Arterial 1300 502524105512980.087111 Major Arterial 1300 302525129810550.087111 Major Arterial 1300 302526105612240.352111 Major Arterial 1300 302527122410560.352111 Major Arterial 1300 302528119912183.057121 Major Arterial 1300 552529121811993.057121 Major Arterial 1300 55253096410551.568121 Major Arterial 1300 55253110559641.568121 Major Arterial 1300 552532106010800.481111 Major Arterial 1300 302533108010600.481111 Major Arterial 1300 302534104910530.567111 Major Arterial 1300 352535105310490.567111 Major Arterial 1300 35253672711970.833121 Ramp 1500 35253711977270.833121 Ramp 1500 3525387387371.019122 Freeway 4100 6525398317950.757122 Freeway 4100 6525407937910.854122 Freeway 4100 6525418258050.796122 Freeway 4100 65254210677441.527122 Freeway 4100 652543122910670.481122 Freeway 4100 6525447287260.654122 Freeway 4100 65254512287511.19122 Freeway 4100 6525467337291.184122 Freeway 4100 6525477517520.243122 Freeway 4100 6525487357330.225122 Freeway 4100 6525497347500.239122 Freeway 4100 6525507537410.525122 Freeway 4100 6525517527541.067122 Freeway 4100 6525527367321.257122 Freeway 4100 6525537317351.122122 Freeway 4100 65255473212910.528122 Freeway 4100 6525557307341.24122 Freeway 4100 6525568327470.625122 Freeway 4100 6525578347211.343122 Freeway 4100 6525587107111.335122 Freeway 4100 6525597212742.528122 Freeway 4100 6525608377231.479122 Freeway 4100 6525617167151.592122 Freeway 4100 65256275812300.611121 Ramp 1500 3525637607570.575122 Freeway 4100 65256483812300.613122 Freeway 4100 65256512678000.924122 Freeway 4100 65256677210830.827121Principal Arterial 1600 45256710837720.827121Principal Arterial 1600 45256812357680.193121 Ramp 1500 35256978212070.509121 Major Arterial 1300 45257012077820.509121 Major Arterial 1300 45257177312050.798121 Major Arterial 1300 45257212057730.798121 Major Arterial 1300 452573107110720.528121 Major Arterial 1300 452574107210710.528121 Major Arterial 1300 452575106512450.328122Principal Arterial 2800 35 Page 46 of 55 Appendix C Dresden NGS Roadway Network Data Table2576124510650.328122Principal Arterial 2800 352577107412000.501121Collector / Local Road1300402578120010740.501121Collector / Local Road130040 257981410490.672121Major Arterial130045 258010498140.672121Major Arterial130045 258181712460.26121Major Arterial130045 258212468170.26121Major Arterial130045 258378010760.749121Principal Arterial160045 258410767800.749121Principal Arterial160045 2585107310740.876121Major Arterial130045 2586107410730.876121Major Arterial130045 258778210700.901121Principal Arterial160030 258810707820.901121Principal Arterial160030 2589109812900.247121Principal Arterial160030 2590129010980.247121Principal Arterial160030 259182011013.986121Principal Arterial160055 259211018203.986121Principal Arterial160055 25937908300.863121Principal Arterial160055 2594115311550.462122Principal Arterial280030 2595115511530.462122Principal Arterial280030 25964755310.498121Collector / Local Road130040 25975314750.498121Collector / Local Road130040 25982835460.499121Major Arterial130045 25995462830.499121Major Arterial130045 26002836480.394121Collector / Local Road130040 26016482830.394121Collector / Local Road130040 26025456451.036121Major Arterial130045 26036455451.036121Major Arterial130045 26045436491.611121Major Arterial130045 26056495431.611121Major Arterial130045 26066866870.912121Major Arterial130045 26076876860.912121Major Arterial130045 2608116511680.784121Collector / Local Road130040 2609116811650.784121Collector / Local Road130040 2610110711131.205121Principal Arterial160045 2611111311071.205121Principal Arterial160045 261223011138.273121Major Arterial130045 261311132308.273121Major Arterial130045 2614113611370.359122Principal Arterial320045 2615113711360.359122Principal Arterial320045 2616114112590.241121Principal Arterial160050 2617125911410.241121Principal Arterial160050 261823512835.862121Principal Arterial160055 261912832355.862121Principal Arterial160055 2620110811140.491121Freeway205055 2621119111060.504122Freeway410065 2622113511930.822122Freeway410065 2623126211930.419121Ramp150035 2624112711280.328121Freeway205055 2625126111660.328121Ramp150035 2626126111670.379122Freeway410065 2627112511260.09122Principal Arterial320045 2628126211230.055122Principal Arterial320045 2629118812650.12121Ramp150035 2630124711840.18122Principal Arterial320045 263184212890.726122Minor Arterial260040 Page 47 of 55 Appendix C Dresden NGS Roadway Network Data Table263212898430.721122 Minor Arterial 2600 4026333994002.511122 Major Arterial 2700 4526344003992.511122 Major Arterial 2700 4526353913931.997122 Major Arterial 2700 4526363933911.997122 Major Arterial 2700 4526375947041.257122 Minor Arterial 2600 4026387045941.257122 Minor Arterial 2600 4026396616620.996121 Major Arterial 1300 4526406626610.996121 Major Arterial 1300 4526415036612.013121 Major Arterial 1300 4526426615032.013121 Major Arterial 1300 452643113312630.484122Principal Arterial 3200 4526446596601.996121 Major Arterial 1300 4526456606591.996121 Major Arterial 1300 4526463556591.334121 Major Arterial 1300 4526476593551.334121 Major Arterial 1300 4526483983993.222122 Major Arterial 2700 4526493993983.222122 Major Arterial 2700 4526504174241.34121 Major Arterial 1300 4526514244171.34121 Major Arterial 1300 4526521691720.997121 Major Arterial 1300 4526531721690.997121 Major Arterial 1300 4526542805781.003122Principal Arterial 3200 4526555782801.003122Principal Arterial 3200 4526563455741.196122 Major Arterial 2700 4526575743451.196122 Major Arterial 2700 4526583934291.324121 Major Arterial 1300 4526594293931.324121 Major Arterial 1300 4526602663721.071121Collector / Local Road1300 4526613722661.071121Collector / Local Road1300 4526621638891.906122 Freeway 4100 6526633873695.547122 Freeway 4100 6526648639240.675122 Major Arterial 2700 3526659248630.675122 Major Arterial 2700 3526666943292.775122 Freeway 4100 6526673265080.276123 Freeway 6150 6526685108441.177123 Freeway 6150 65266932113148.301122 Freeway 4100 6526706221353.938122 Freeway 4100 6526711456253.978122 Freeway 4100 6526722562521.948122 Freeway 4100 6526731741531.712122 Freeway 4100 6526742521962.624122 Freeway 4100 6526751941752.326122 Freeway 4100 6526762171992.423122 Freeway 4100 6526772002121.634122 Freeway 4100 6526782922951.058123 Freeway 6150 6526792932911.013123 Freeway 6150 6526809399531.258121 Major Arterial 1300 4526819539391.258121 Major Arterial 1300 45268292212744.616122 Freeway 4100 6526838669187.13122 Freeway 4100 6526848718529.229122 Freeway 4100 65268513087212.195122 Freeway 4100 65268612758682.206122 Freeway 4100 65268798610146.137122 Freeway 4100 65 Page 48 of 55 Appendix C Dresden NGS Roadway Network Data Table268812769854.58122 Freeway 4100 65268988210188.22122 Freeway 4100 652690101810131.43122 Freeway 4100 65269110168836.538122 Freeway 4100 65269262010451.318121 Major Arterial 1300 45269310456201.318121 Major Arterial 1300 45269487810451.057121 Major Arterial 1300 45269510458781.057121 Major Arterial 1300 45269637013163.373122Principal Arterial 3200 45269713163703.373122Principal Arterial 3200 4526986836903.086121 Major Arterial 1300 4526996906833.086121 Major Arterial 1300 45270045212781.831121 Minor Arterial 1300 40270112784521.831121 Minor Arterial 1300 4027024525001.094122Principal Arterial 3200 4527035004521.094122Principal Arterial 3200 4527043011294.116122 Freeway 4100 6527058943085.652122 Freeway 4100 6527064394410.3121Collector / Local Road1300 4027074414390.3121Collector / Local Road1300 4027084264390.645121 Major Arterial 1300 4527094394260.645121 Major Arterial 1300 4527103834030.795121Collector / Local Road1300 4027114033830.795121Collector / Local Road1300 4027123858471.55122 Major Arterial 2700 4527138473851.55122 Major Arterial 2700 4527141336646.534121Principal Arterial 1600 5527156641336.534121Principal Arterial 1600 5527166816903.008121Principal Arterial 1600 5527176906813.008121Principal Arterial 1600 5527183713722.08121Collector / Local Road1300 4027193723712.08121Collector / Local Road1300 402720110411091.029121 Minor Arterial 1300 402721110911041.029121 Minor Arterial 1300 40272223612821.097121 Major Arterial 1300 40272312822361.097121 Major Arterial 1300 402724113611920.633122Principal Arterial 2800 302725119211360.633122Principal Arterial 2800 302726116211630.955121Principal Arterial 1600 502727116311620.955121Principal Arterial 1600 502728114312840.743121Principal Arterial 1600 352729128411430.743121Principal Arterial 1600 352730114111591.279121 Minor Arterial 1300 402731115911411.279121 Minor Arterial 1300 402732113811411.773121Principal Arterial 1600 502733114111381.773121Principal Arterial 1600 502734120912490.424121Principal Arterial 1600 502735124912090.424121Principal Arterial 1600 502736120912850.135121Principal Arterial 1600 552737128512090.135121Principal Arterial 1600 552738120012261.003121Collector / Local Road1300 402739122612001.003121Collector / Local Road1300 40274074212174.234121 Major Arterial 1300 45274112177424.234121 Major Arterial 1300 452742106110620.192122Principal Arterial 2800 302743106210610.192122Principal Arterial 2800 30 Page 49 of 55 Appendix C Dresden NGS Roadway Network Data Table27444744820.293122Principal Arterial 3200 4527454824740.293122Principal Arterial 3200 4527465015191.418122Principal Arterial 3200 4527475195011.418122Principal Arterial 3200 452748106812261.047122Principal Arterial 3200 452749122610681.047122Principal Arterial 3200 4527505196601.86121 Major Arterial 1300 4527516605191.86121 Major Arterial 1300 4527522787830.326121 Ramp 1500 3527535885891.422122Principal Arterial 3650 5527545895881.422122Principal Arterial 3650 5527551221240.388111Collector / Local Road1300 3027561241220.388111Collector / Local Road1300 3027578999051.506121Collector / Local Road1300 5527589058991.506121Collector / Local Road1300 55275912412860.61121 Major Arterial 1300 45276012861240.61121 Major Arterial 1300 4527617037050.845121 Ramp 1500 3527623433740.878121Collector / Local Road1300 4027633743430.878121Collector / Local Road1300 4027645235450.497121 Major Arterial 1300 4527655455230.497121 Major Arterial 1300 4527663934012.005122 Major Arterial 2700 4527674013932.005122 Major Arterial 2700 45276857013100.225121 Minor Arterial 1300 40276913105700.225121 Minor Arterial 1300 4027705635641.001121Collector / Local Road1300 4027715645631.001121Collector / Local Road1300 4027725386501.412121Collector / Local Road1300 4027736505381.412121Collector / Local Road1300 4027744254271.006122Principal Arterial 3200 4527754274251.006122Principal Arterial 3200 4527766056960.596121 Minor Arterial 1300 4027776966050.596121 Minor Arterial 1300 402778118912613.487122 Freeway 4100 652779116711353.506122 Freeway 4100 652780112811483.243121 Freeway 2050 552781111411315.855121 Freeway 2050 552782112411915.896122 Freeway 4100 65278311062634.934122 Freeway 4100 65278488911083.026121 Freeway 2050 552785104811192.901121 Major Arterial 1300 452786111910482.901121 Major Arterial 1300 452787111512541.814121 Major Arterial 1300 452788125411151.814121 Major Arterial 1300 452789128312871.326121Principal Arterial 1600 502790128712831.326121Principal Arterial 1600 502791111511323.125121 Major Arterial 1300 552792113211153.125121 Major Arterial 1300 552793111312813.713121Principal Arterial 1600 552794128111133.713121Principal Arterial 1600 552795119012550.913122 Major Arterial 2700 352796125511900.913122 Major Arterial 2700 352797113711900.241122 Major Arterial 2700 302798119011370.241122 Major Arterial 2700 302799113911442.495122Principal Arterial 2800 35 Page 50 of 55 Appendix C Dresden NGS Roadway Network Data Table2800114411392.495122Principal Arterial 2800 3528011163116913.354121Principal Arterial16005528021169116313.354121Principal Arterial160055 2803117211780.526121Collector / Local Road130040 2804117811720.526121Collector / Local Road130040 2805117011720.765121Collector / Local Road130040 2806117211700.765121Collector / Local Road130040 2807117811811.084121Major Arterial130045 2808118111781.084121Major Arterial130045 280980510903.136122Freeway410065 281010928033.355122Freeway410065 281180412328.13122Freeway410065 28128008258.644122Freeway410065 281379512677.238122Freeway410065 28147987938.361122Freeway410065 28158848312.292122Freeway410065 28167918853.752122Freeway410065 281778710411.194121Major Arterial130045 281810417871.194121Major Arterial130045 2819109411037.838121Minor Arterial130040 2820110310947.838121Minor Arterial130040 282186210990.847121Principal Arterial160045 282210998620.847121Principal Arterial160045 2823109911031.078121Principal Arterial160045 2824110310991.078121Principal Arterial160045 282578912140.131121Principal Arterial160040 282612147890.131121Principal Arterial160040 28277847874.036121Principal Arterial160055 28287877844.036121Principal Arterial160055 282978511031.983121Minor Arterial130040 283011037851.983121Minor Arterial130040 28318088221.909121Principal Arterial160055 28328228081.909121Principal Arterial160055 2833108710970.253121Principal Arterial160030 2834109710870.253121Principal Arterial160030 283581510980.634121Principal Arterial160030 283610988150.634121Principal Arterial160030 283710892651.13122Principal Arterial320045 283881110891.131122Principal Arterial320045 2839108710880.547121Principal Arterial160045 2840108810870.547121Principal Arterial160045 284184312155.211121Minor Arterial130040 2842792110011.919121Principal Arterial160055 2843110079211.919121Principal Arterial160055 2844109411018.781121Major Arterial130045 2845110110948.781121Major Arterial130045 284612158425.207121Minor Arterial130040 284782310890.474122Principal Arterial320045 284810898230.474122Principal Arterial320045 2849109712100.324121Collector / Local Road130040 2850121010970.324121Collector / Local Road130040 285112302792.333122Freeway410065 28522777602.421122Freeway410065 285312278381.718122Freeway410065 28547577531.507122Freeway410065 28557497281.118122Freeway410065 Page 51 of 55 Appendix C Dresden NGS Roadway Network Data Table285672912291.423122 Freeway 4100 65285772612281.692122 Freeway 4100 6528587152733.264122 Freeway 4100 6528592718373.746122 Freeway 4100 6528609207168.123122 Freeway 4100 6528617239238.727122 Freeway 4100 6528627478349.417122 Freeway 4100 6528637117388.915122 Freeway 4100 6528647377311.939122 Freeway 4100 6528657548322.096122 Freeway 4100 652866118212601.898122Principal Arterial 3200 452867126011821.898122Principal Arterial 3200 452868121812962.906121 Major Arterial 1300 552869129612182.906121 Major Arterial 1300 552870121912200.934121 Major Arterial 1300 452871122012190.934121 Major Arterial 1300 452872121812193.204121 Major Arterial 1300 552873121912183.204121 Major Arterial 1300 552874118012600.444122 Major Arterial 2700 452875126011800.444122 Major Arterial 2700 452876116612950.125121 Ramp 1500 352877129511660.125121 Ramp 1500 352878115412950.068122Principal Arterial 3200 452879129511540.068122Principal Arterial 3200 452880119813021.192121 Major Arterial 1300 552881130211981.192121 Major Arterial 1300 552882110411215.665122Principal Arterial 3200 452883112111045.665122Principal Arterial 3200 452884114212631.99122Principal Arterial 3200 452885126311421.99122Principal Arterial 3200 452886114211560.826121 Minor Arterial 1300 402887115611420.826121 Minor Arterial 1300 40288874210591.521121 Major Arterial 1300 55288910597421.521121 Major Arterial 1300 552890105912250.578111 Major Arterial 1300 352891122510590.578111 Major Arterial 1300 352892110412561.862122Principal Arterial 3200 452893125611041.862122Principal Arterial 3200 45289473910513.099121 Major Arterial 1300 55289510517393.099121 Major Arterial 1300 552896105212233.884121 Major Arterial 1300 452897122310523.884121 Major Arterial 1300 452898105512970.053121 Minor Arterial 1300 402899129710550.053121 Minor Arterial 1300 40290081410551.004111 Major Arterial 1300 30290110558141.004111 Major Arterial 1300 30290287312060.744121Collector / Local Road800 45290312068730.744121Collector / Local Road800 452904108413001.453121 Major Arterial 1300 552905130010841.453121 Major Arterial 1300 552906115111854.25121 Freeway 2050 55290783510630.893122Principal Arterial 3200 40290810638350.893122Principal Arterial 3200 40290923412546.043121 Major Arterial 1300 55291012542346.043121 Major Arterial 1300 552911106412450.462122Principal Arterial 3200 45 Page 52 of 55 Appendix C Dresden NGS Roadway Network Data Table2912124510640.462122Principal Arterial 3200 45291384810650.469122Principal Arterial280030291410658480.469122Principal Arterial280030 2915121712460.888121Major Arterial130055 2916124612170.888121Major Arterial130055 291781810574.783121Major Arterial130055 291810578184.783121Major Arterial130055 291970710780.497121Major Arterial130055 292010787070.497121Major Arterial130055 2921106610815.628111Minor Arterial130035 2922108110665.628111Minor Arterial130035 29237558180.447122Principal Arterial280035 29248187550.447122Principal Arterial280035 2925123413037.121121Major Arterial130055 2926130312347.121121Major Arterial130055 292783310750.348122Major Arterial270045 292810758330.348122Major Arterial270045 2929107610831.894121Principal Arterial160045 2930108310761.894121Principal Arterial160045 2931107612050.788121Major Arterial130045 2932120510760.788121Major Arterial130045 29337828400.99121Principal Arterial160035 29348407820.99121Principal Arterial160035 2935130413050.114121Principal Arterial160040 2936130513040.114121Principal Arterial160040 2937120712402.044121Major Arterial130045 2938124012072.044121Major Arterial130045 2939124012411.091121Principal Arterial160055 2940124112401.091121Principal Arterial160055 294177610700.293121Principal Arterial160035 294210707760.293121Principal Arterial160035 294377512420.383121Principal Arterial160035 294412427750.383121Principal Arterial160035 29457737741.768121Major Arterial130045 29467747731.768121Major Arterial130045 2947120112441.326121Major Arterial130045 2948124412011.326121Major Arterial130045 294977712012.672121Major Arterial130045 295012017772.672121Major Arterial130045 2951123412441.217121Major Arterial130055 2952124412341.217121Major Arterial130055 295381912430.675121Major Arterial130050 295412438190.675121Major Arterial130050 2955107112311.193121Major Arterial130045 2956123110711.193121Major Arterial130045 2957107210730.132121Major Arterial130045 2958107310720.132121Major Arterial130045 295972510741.145121Major Arterial130045 296010747251.145121Major Arterial130045 29617738132.099121Major Arterial130045 29628137732.099121Major Arterial130045 2963106413030.653121Major Arterial130045 2964130310640.653121Major Arterial130045 296584813011.353122Principal Arterial280030 296613018481.353122Principal Arterial280030 2967120012031.003121Major Arterial130045 Page 53 of 55 Appendix C Dresden NGS Roadway Network Data Table2968120312001.003121 Major Arterial 1300 452969120112341.038121 Major Arterial 1300 452970123412011.038121 Major Arterial 1300 452971124312442.166121 Major Arterial 1300 552972124412432.166121 Major Arterial 1300 55297377712401.329121Principal Arterial 1600 55297412407771.329121Principal Arterial 1600 5529751901922.007121 Minor Arterial 1300 4029761921902.007121 Minor Arterial 1300 4029771902082.524121 Major Arterial 1300 4529782081902.524121 Major Arterial 1300 4529792332410.954121Principal Arterial 1600 4529802412330.954121Principal Arterial 1600 4529815575510.494122 Freeway 4100 652982130913080.173122 Freeway 4100 6529833458860.586122 Major Arterial 2700 4529848863450.586122 Major Arterial 2700 4529855094940.125121 Minor Arterial 1300 4029864944830.196121 Minor Arterial 1300 4029873127001.356122 Freeway 4100 6529883033131.324122 Freeway 4100 6529894834920.196121 Minor Arterial 1300 4029904845442.354122Principal Arterial 3200 4529915444842.354122Principal Arterial 3200 4529924913250.317123 Freeway 6150 6529934244292.036121 Major Arterial 1300 4529944294242.036121 Major Arterial 1300 45299513113280.512122 Freeway 4100 6029965055300.452122 Freeway 4100 6029973006940.453122 Freeway 4100 6529983272991.325122 Freeway 4100 6529993245110.076123 Freeway 6150 6530005085100.446123 Freeway 6150 6530018454930.904123 Freeway 6150 6530024954960.542122 Freeway 4100 6530038445160.251122 Freeway 4100 6530042521730.736121 Ramp 1500 3530053383187.725122 Freeway 4100 6530064973203.465122 Freeway 4100 6530073373870.579122 Freeway 4100 6530083673530.531122Principal Arterial 3200 45300933613132.828122 Freeway 4100 65301068612790.581121Collector / Local Road1300 40301112796860.581121Collector / Local Road1300 40301254912790.636122Principal Arterial 3200 45301312795490.636122Principal Arterial 3200 45301450013161.007122Principal Arterial 2800 35301513165001.007122Principal Arterial 2800 3530163613701.51121 Major Arterial 1300 4530173703611.51121 Major Arterial 1300 4530185365330.307122 Freeway 4100 6530192985920.048122 Freeway 4100 6530201586917.469122 Freeway 4100 6530216931607.431122 Freeway 4100 6530223593350.832122Principal Arterial 3200 453023103313261.017101Collector / Local Road800 15 Page 54 of 55 Appendix C Dresden NGS Roadway Network Data Table3024132610331.017101Collector / Local Road800 15302586313272.236101Collector / Local Road800 15302613278632.236101Collector / Local Road800 15302793713292.334101Collector / Local Road800 15302813299372.334101Collector / Local Road800 15302994113301.781101Collector / Local Road800 15303013309411.781101Collector / Local Road800 15303189813335.256101Collector / Local Road800 15303213338985.256101Collector / Local Road800 15303312513346.203101Collector / Local Road800 15303413341256.203101Collector / Local Road800 15303562713464.431101Collector / Local Road800 15303613466274.431101Collector / Local Road800 153037102913663.589101Collector / Local Road800 153038136610293.589101Collector / Local Road800 15303920213732.078101Collector / Local Road800 15304013732022.078101Collector / Local Road800 15304199713750.724101Collector / Local Road800 15304213759970.724101Collector / Local Road800 153043100113762.201101Collector / Local Road800 153044137610012.201101Collector / Local Road800 153045101513792.576101Collector / Local Road800 153046137910152.576101Collector / Local Road800 153047102313801.686101Collector / Local Road800 153048138010231.686101Collector / Local Road800 15304995313873.296101Collector / Local Road800 15305013879533.296101Collector / Local Road800 15305184913943.576101Collector / Local Road800 15305213948493.576101Collector / Local Road800 15305361313956.404101Collector / Local Road800 15305413956136.404101Collector / Local Road800 153055128013971.26101Collector / Local Road800 153056139712801.26101Collector / Local Road800 1530578491557.741122Principal Arterial 3650 553058654140210.515122Principal Arterial 3650 55305963414020.057122Principal Arterial 3650 55306014026340.057122Principal Arterial 3650 55306114026553.208122Principal Arterial 3650 55 Page 55 of 55 Appendix D Average Speed by Roadway Link by Hour (Winter Day, Full EPZ)