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Evansville Western Railway, Inc. Rail Terminal Facility Development of Regional Impact Winter Haven, FL. Traffic Methodology Meeting October 24, 2007. Evansville Western Railway, Inc. Rail Terminal Facility Development of Regional Impact Winter Haven, Florida. Property Owner:
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Evansville Western Railway, Inc. Rail Terminal Facility Development of Regional Impact Winter Haven, FL Traffic Methodology Meeting October 24, 2007
Evansville Western Railway, Inc.Rail Terminal FacilityDevelopment of Regional ImpactWinter Haven, Florida Property Owner: Evansville Western Railway, Inc.; Paducah, KY Applicant/Agent: CSX Real Property, Inc.; Jacksonville, FL Rick Hood Project Management: MSCW; Orlando, FL Neil Frazee Legal: Foley & Lardner; Orlando, FL Duke Woodson Transportation: HDR; Orlando, FL Jim Lee And Jason McGlashan
Evansville Western Railway, Inc.Rail Terminal FacilityDevelopment of Regional ImpactWinter Haven, Florida Environmental: BDA, Inc.; Winter Park, FL Dale Dowling Archaeological: Southeastern Archaeological Research, Inc.; Orlando, FL Ann Stokes and Brenda Swann Air Quality: Cooper Engineering Corporation; Winter Park, FL Dr. David Cooper Engineering: Parsons Brinckerhoff; Morrisville, NC Matthew Weidner Surveying: Envisors, LLC Rob Stevens
Presentation Outline • Site Overview • Existing Terminal Operations – Taft & Tampa • Site Trip Generation Characteristics • Seasonal Site Traffic Variation • Site Traffic Growth Factors • Trip Generation Forecast • Site Traffic Distribution • Area Capacity Characteristics • Background Growth Factors • DRI Impact Analysis Question & Discussion Breaks
Site Overview • Size • Access from SR 60 • Regional Context
Existing Operations • Taft and Tampa Operations Overview • Intermodal • Automotive • How Containers and Cars convert to truck trips • Employee auto trips • Miscellaneous auto trips
Approximately 200 acres • Two distinct operations: • Containerized freight • CSX Intermodal • Automobiles • TDSI Existing Taft Operation
New Car and Remarket Lots Existing Tampa Operation
Approximately 75 acres • Automobiles Only • TDSI New Car and Remarket Lots Existing Tampa Operation
Site Trip Generation Characteristics • Existing traffic volumes - Intermodal • Weekday variation • Hourly profiles • Existing traffic volumes – Automotive (Taft and Tampa) • Weekday variation • Hourly profiles • Summation of hourly volumes – Why AM is the recommended study peak?
Intermodal Truck Traffic Variation: 2-Way Daily Volume Source: CSX ITOPS reports/ HDR counts Taft Sept. 2007
Intermodal Truck Average Weekday Hourly Traffic Profile: 2-Way Hourly Volume 11 AM Source: CSX ITOPS reports/ HDR counts Taft Sept. 2007
Automotive Truck Traffic Variation: 2-Way Daily Volume Source: CSX TDSI Carrier Records / HDR counts Taft Sept. 2007
Automotive Truck Average Weekday Hourly Traffic Profile: 2-Way Hourly Volume
Employee Traffic • Intermodal • 12-15 employees per day working three 8 hour shifts • Automotive • 25-30 employees per day at each facility working 1 shift • “24-7” contract • Other Traffic • Contract Maintenance, Office Deliveries, Employee Errands, Lunch, Visitors • Total Employee + Other Trips = 205 Trips/Day
Average Weekday 2-Way Traffic Summary from Tampa & Taft Sites
Project Traffic Seasonal Variation • Peak seasonal factors • Intermodal = 1.24 • Automotive = 1.35
Project Traffic Growth Factors • Intermodal = 1.51 • Automotive = 1.45 • These factors are business plan driven for the new site and facility operation
Expanding the Data for the New Site for Growth and Seasonal Peak
Passenger Car Equivalency • HCM formula for Level Terrain • Assume 100% Trucks • HCM Solved Conversion for fHV=1.5
Expanding the Data for the New Site for Growth and Seasonal Peak • ADT Comparable to 285 Residential Units
Project Traffic Distribution • Two separate distributions will be provided • Trucks • Employees/Other • Data sources • Trucks based upon Surveys and Truck Manifest • Employees based upon the Polk County Regional Travel Demand Model
Area Capacity Characteristics • K Factors (AM Peak/Daily vs. K100) • D Factors (defined by AM peak hour counts) • T Factors (collecting classification counts)
Background Traffic Growth Factors & Analysis • Growth to Year 2009 Based on Historic Trends • Do not recommend the model for Background forecast • Trend Analysis to be Provided • Segments to Include Significantly Impacted Links + 1 Link Beyond • Intersections within Significant Segments to be analyzed for AM Peak Hour
Documentation Requirements • Electronic files of HCS and FSUTMS Model • Page numbering of all appendices
Schedule • Comments on Methodology within 2-weeks • Final Methodology Issued After that Time • ADA Question 21 Submittal mid-December