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Session: Data for Freight Analysis, Planning and Implementation Vidya Mysore

Exploring Freight Data and Modeling. Session: Data for Freight Analysis, Planning and Implementation Vidya Mysore vidya.mysore@dot.gov FHWA Resource Center July 30 , 2013. BREAKOUT GROUP. Questions for participants:

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Session: Data for Freight Analysis, Planning and Implementation Vidya Mysore

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  1. Exploring Freight Data and Modeling Session: Data for Freight Analysis, Planning and Implementation Vidya Mysore vidya.mysore@dot.gov FHWA Resource Center July 30, 2013

  2. BREAKOUT GROUP Questions for participants: What types of freight data, forecasting and analysesare important to you for supporting planning, project development and implementation? Please share your approaches and challenges in getting the job done! What kind of partnerships do you currently have and what type of partnershipsare looking forward to developing between MPOs, state DOT, FHWA and the private sector in advancing freight data, forecasting and analytical resources in your region?

  3. What are our Objectives? • Understand how to obtain/work with freight data sources • Understand freight movement within and to/from a region • Learn about different freight modeling techniques used in practice, and their limitations • Learnabout the NEW Supply Chain Logistics Freight Model techniques

  4. Major Issues at Metropolitan Regions • Issues include how to manage and invest in the system to meet regional objectives: • For example – Short/Long Range Freight Transportation Planning Objectives: • economic competitiveness, • interregional connectivity; • efficiency; choices; • intermodal connectivity; • energy, air quality and climate; and • emergency management and safety

  5. Freight Data Types of freight data, what freight data tell us and freight movements, and where to obtain them

  6. Freight Data Sources • Infrastructure (e.g. highway, rail, waterway networks, port, airports, intermodal databases) • Economic data (e.g. employment, BEA input/output, Socio economic forecasts) • Freight demand and vehicle movements (e.g. CFS, FAF, PIERS, Waybill, border crossing, truck counts, truck GPS, WIM data) • Classification systems (NAICS, SCTG, STCC, HSC) • Local survey data (establishment surveys, truck diary surveys, etc.)

  7. Local survey data, variables • Location information • Time and route information • Truck classification type and size categories • Commodity information • Total employment • Geography of establishment

  8. Freight Truck Model based on Commodity Groups Commodity Flow units need to convert from (measured in Tons & Values) to…? There are many commodity groups in a Freight Model. Such as: Agriculture Non-Metallic Minerals Coal Food Non-Durable Manufacturing Goods Lumber Chemicals Paper Petroleum Products Other Durable Manufacturing Goods Clay, Concrete and Glass Waste Miscellaneous Freight Warehouse

  9. Commodity Flow – Convert…to this • Logging • Dry Van • Platform • Livestock • Automobile • Bulk • Other • Reefer …measured in Truck Trips • Tank

  10. Traffic Count - Vehicular Classification

  11. Trips Starting outside Florida & Ending in Jacksonville – FAF Zone Weekdays Frequency (Percentage) Time of day (0 is 12AM) Number of trips : 39,711 Time-of-day Profile of Trips Derived from 4 weeks of ATRI Data (one week in each of the following months: March, April, May, June 2010)

  12. Measures of Corridor Demand and Freight Activity Intensity Freight Intensity Index for Florida, April-June 2010

  13. Measures of Corridor Speed and Freight Activity Intensity (county)

  14. Freight Truck Travel Time and Route Planning

  15. Freight Truck Travel Time and Route Planning

  16. Freight Model Introduction to freight modeling concepts and the types of freight model used in practice in the U.S.

  17. Freight Modeling Platforms • Vehicle-based Models • Use vehicle trips to estimate freight demand • Traditional Freight Models • Four-step process (generation, distribution, mode choice and assignment) • Commodity-based Models • The weight and volume of freight are the main units of analysis • Hybrid Models • Combination of different types of models • Economic Activity Models • Economic land-use models incorporating freight model • Supply Chain Based Models • Incorporating supply chain elements First Generation Second Generation

  18. I-100.7% US 3010.9% I-952.4% I-7532.9% I-1014.8% I-108.1% Select Link Analysis near Ocala TTMS count station – April 2010 SR 241.7% I-75100% US 30113.1% FL TPK32.4% I-7539.7% SR 20 1.2% I-7568.0% I-7517.2% I-27510.8% CR 318 1.7% FL TPK 3.5% I-42.7% Ocala Destination 10.8% I-757.6% US 27 1.1% US 272.7% I-752.8%

  19. Where did freight trucks come from that used US 301 southbound to get to I-75 southbound in 2010 ? I-9513.1% 130 US 3014.0% 40 I-1056.8% 540 US 30185.9% 820 SR 244.5% 50 US 30195.5% 900 I-75100% 950

  20. I-95 N1,098 Trips14.6% Other (NE)652 Trips8.7% Other (NW)251 Trips3.3% US 1 N295 Trips3.9% 7,520 Trips Total JAXPORT: Blount Island Gate I-10 W477 Trips6.3% Urban3,485 Trips46.4% I-95 S895 Trips11.9% SR 200 S175 Trips2.3% Other (SW)171 Trips2.3% Other (SE)21 Trips0.3%

  21. JAXPORT: Blount Island Gate

  22. Supply Chain Logistics based multi-modal Freight Model (2nd generation Freight Model) Model inputs and structure, integration with passenger model, and policy sensitivity

  23. Supply Chain Freight Model Structure Overview 1. Statewide Model Conversion to modal trip tables Passenger Model National Supply Chain Model (Firms, Shipments, Modes) National/Statewide Networks 2. Regional Model Regional Model Regional Model Pax Model Regional Truck Touring Model Regional Networks

  24. Sample Model Sequence #1

  25. Sample Model Sequence #2

  26. Truck Touring Models • Implemented in Chicago region for CMAP as part of FHWA project • Model links shipment deliveries and pick-ups together into truck tours • Tours built for different truck types and for different patterns: single stop, single loops, several returns to warehouse • Output is a trip schedule similar to that from an activity-based model of personal travel Warehouse 120 Delivery tour Chicago Region

  27. Regional Policy Sensitivity • Regional model input is the output from the statewide model, so statewide model’s sensitivity feeds through to regional model • Local (more detailed) distribution of employment and land use affects local truck travel patterns • Local changes in transportation supply, non-truck traffic growth causing congestion, and resulting truck travel times • Local policies such as truck routes, truck prohibitions, delivery windows, and size limits can be modeled

  28. BREAKOUT GROUP • Questions for participants: • What types of freight data, forecasting and analysesare important to you for supporting planning, project development and implementation? Please share your approaches and challenges in getting the job done! • What kind of partnerships do you currently have and what type of partnershipsare looking forward to developing between MPOs, state DOT, FHWA and the private sector in advancing freight data, forecasting and analytical resources in your region?

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