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The Freight Model Improvement Program www.fmip.gov

The Freight Model Improvement Program www.fmip.gov. T. Randall (Randy) Curlee, Ph.D. National Transportation Research Center Talking Freight Seminar November 16, 2005. FMIP was launched in 2004 by the US Department of Transportation .

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The Freight Model Improvement Program www.fmip.gov

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  1. The Freight Model Improvement Programwww.fmip.gov T. Randall (Randy) Curlee, Ph.D. National Transportation Research Center Talking Freight Seminar November 16, 2005

  2. FMIP was launched in 2004 by the US Department of Transportation • Managed by the Office of Freight Management and Operations of the Federal Highway Administration • In collaboration with • US Department of Agriculture • US Department of Energy • US Army Corps of Engineers • Supported by Oak Ridge National Laboratory

  3. Premises upon which FMIP is based • Current methods for forecasting freight are inadequate • Freight demand models typically based on passenger travel demand forecasting; freight is different • Practitioners are calling for improvements in both the state of the art and the state of practice in modeling freight

  4. FMIP was initiated to… • Enhance state of the art and state of practice in freight modeling at national, regional, and local scales • Primary focus on forecasting movements of commodities (trucks, trains, and vessels) • Secondary focus on models of public revenues, environmental consequences, economic consequences, and other societal costs and benefits

  5. Relationship of FMIP to the Freight Analysis Framework (FAF) • FMIP bridges gap between FAF’s national focus with needs of local planning • FMIP is a forum to help practitioners and researchers develop local understanding of freight through local data collection and modeling built on the national picture provided by the FAF 

  6. A key component of FMIP is FMIP.GOV • A clearinghouse designed to provide up-to-date information on current developments in freight modeling • Disseminate inventories and assessments of freight modeling strategies and related data collection methods • Develop a library of current research, data, and methods • Encourage discussion and comments on posted items • Encourage customers to submit copies of their own work • Support direct peer-to-peer exchanges

  7. The major features of FMIP.GOV • About -an introduction to FMIP • News, Events, and Courses - keep up with freight modeling news and events • Freight Models and Modeling Studies - an inventory of freight models and studies • Data to Support Freight Models - an inventory of freight model data organized by category  • Related Groups and Links - the World Wide Web of freight modeling • Tools - brief descriptions of and links to tools of potential interest to planners and analysts • Discussion - FMIP forums • Contacts - how to contact FMIP staff

  8. The major features of FMIP.GOV • About -an introduction to FMIP • News, Events, and Courses - keep up with freight modeling news and events • Freight Models and Modeling Studies - an inventory of freight models and studies • Data to Support Freight Models - an inventory of freight model data organized by category  • Related Groups and Links - the World Wide Web of freight modeling • Tools - brief descriptions of and links to tools of potential interest to planners and analysts • Discussion - FMIP forums • Contacts - how to contact FMIP staff

  9. FMIP Model Inventory • Inventory of Freight Models • National and International Modeling Studies • State and Regional Freight Modeling Studies • Metropolitan and Local Freight Modeling Studies • Library of Freight Modeling Papers

  10. National and International Freight Modeling Studies • Bureau of Transport and Regional Development, Australia • United Kingdom Department of Transportation Review of Freight Modeling • Great Britain Freight Model - description of methodology • South-East Queensland Intermodal Freight Terminals Study (Australia) • Swedish National Model System for Freight Transport (SAMGODS)

  11. State and Regional Freight Modeling Studies • California Goods Movement • Colorado Railroad Study • I-5 Rail Capacity Corridor Study • Kentucky I-75 North-South Transportation Initiative Truck Model • Oklahoma Intermodal Transportation Plan • Oregon Freight Study • The Mountain-Plains Consortium (Intermodal and Freight Logistics) • State-of-the-Practice In Freight Data: A Review of Available Freight Data in the U.S. (Texas) • Florida Intermodal Statewide Highway Freight Model • Iowa Statewide Freight Transportation Planning Model and Methodology Development Program • Minnesota Office of Freight & Commercial Vehicle Operations • Minnesota Statewide Freight Flows Study • Freight Impacts on Ohio Roadways • Upper Midwest Freight Corridor Study • Washington Statewide Freight Transportation Analysis • Virginia: Application of a Statewide Intermodal Freight Planning Methodology

  12. Metropolitan and Local Freight Modeling Studies • Baltimore Metropolitan Council, MD - Truck Model • Chicago Area Transportation Study, IL. Cooperative Highway/Vehicle Automation Study (CVHAS) • Eastern Colorado Mobility Study • New York Metropolitan Transportation Council Freight Plan Project • North New Jersey Transportation Planning Authority Inc • Sarasota-Manatee Freight Movement Study (Florida MPO) • Kentucky I-75 North-South Transportation Initiative Truck Model • Portland Oregon Economic Impacts Study • Edmonton (Canada) Commodity Flow Survey and External Truck Trip Projects • Broward County Freight and Goods Movement Study (Florida MPO) • Cross-Cascades Corridor Analysis Study (Washington State) • Developing a Truck/Freight Model for the Los Angeles Metropolitan Area • Los Angeles County MTA truck/freight forecasting model (southern California)

  13. Library of Freight Modeling Papers • 1)      Freight modeling review articles • 2)      Modeling hazardous freight movements • 3)      Truck trip generation/attraction modeling • 4)      Modeling the value of time in freight studies • 5)      Freight and commodity flow modeling • 6)      Freight traffic assignment/network flow modeling • 7)      Modeling freight supply chains • 8)       Intermodal freight and terminal transfers  modeling

  14. Library of Freight Modeling Papers (continued) • 9)      Multi-step freight planning models • 10)   Freight corridor and system capacity modeling • 11)   Dedicated truck lane modeling • 12)   Truck size and weight modeling • 13)   Modeling urban freight movements • 14)  Freight mode choice modeling • 15)  Freight data collection methods • 16)   Modeling the energy and environmental impacts of freight • 17)  Statewide and regional freight planning studies

  15. Keys to Success?

  16. First, understand the basic questions being asked… • What and how much freight will be shipped? • Origins and destinations? • By what mode? Or more appropriately modes… • By what route? • At what cost? • At what transit time? • How will the answer to each question change over time?

  17. And understand why we ask these basic questions… • Safety, Health, and Environmental Impacts • National Security • Congestion • Damage to infrastructure caused by freight • Urban Planning and Smart Growth • A better understanding of the relationship between freight transport and the economy – local, state, regional, national, international • Assess the need for and viability of new and improved transportation infrastructure – at local, state, regional, national, and even international levels

  18. Recognize that our perception of freight modeling and the path forward depend in part on our discipline, e.g. • Civil Engineering • Transportation Planning • Geography • Operations Research • Management Science • Economics

  19. On our geographic scale of interest… • Local • State • Regional • National • International

  20. And on the role we play…e.g. • Transportation Analyst • Academic Researcher • Planner • Private Sector Decision Maker • Public Sector Decision Maker

  21. Improvements in freight modeling will depend on • Clearly articulating the objectives of freight models and studies • Adopting Multi-modal and Inter-modal approaches • Multi-disciplinary and Inter-disciplinary collaboration with common terminology • International collaboration • Wisely meshing the theoretical with the empirical; and the ideal with the practical • Making the most of current data, while laying a course for data improvements

  22. In Conclusion…

  23. Please contribute to the FMIP.GOV Forum!!

  24. We Want Your Input!!We Want To Serve Your Needs!!www.fmip.gov Contacts • Dr. Tianjia Tang, tianjia.tang@fhwa.dot.gov • Office of Freight Management and Operations, FHWA • Dr. Randy Curlee, curleetr@ornl.gov • Center for Transportation Analysis, Oak Ridge National Laboratory

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