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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2013. Freight Demand Modeling and Data Improvement. Washington, DC: The National Academies Press. doi: 10.17226/22734.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2013. Freight Demand Modeling and Data Improvement. Washington, DC: The National Academies Press. doi: 10.17226/22734.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2013. Freight Demand Modeling and Data Improvement. Washington, DC: The National Academies Press. doi: 10.17226/22734.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2013. Freight Demand Modeling and Data Improvement. Washington, DC: The National Academies Press. doi: 10.17226/22734.
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77 Cambridge Systematics, Inc., and GeoStats, LLP. 2010. NCFRP Report 8: Freight-Demand Modeling to Support Public-Sector Decision Mak- ing. Transportation Research Board of the National Academies, Washington, D.C. Cambridge Systematics, Inc., Global Insight, H. Cohen, A. Horowitz, and R. Pendyala. 2008. NCHRP Report 606: Forecasting Statewide Freight Toolkit. Transportation Research Board of the National Academies, Washington, D.C. Cambridge Systematics, Inc., and Jack Faucett Associates. 2001. NCHRP Synthesis of Highway Practice 298: Truck Trip Generation Data. TRB, National Research Council, Washington, D.C. Cambridge Systematics, Inc., Prime Focus, LLC, and K. Heanue. 2007. NCHRP Report 594: Guidebook for Integrating Freight into Transporta- tion Planning and Project Selection Processes. Transportation Research Board of the National Academies, Washington, D.C. Committee on Strategies for Improved Passenger and Freight Travel Data. 2011. Transportation Research Board Special Report 304: How We Travel: A Sustainable National Program for Travel Data. National Research Council of the National Academies, Washington, D.C. Cooper, M., L. Ellram, J. Gardner, and A. Hanks. 1997. Meshing Multiple Alliances. Journal of Business Logistics, Vol. 18, No. 1, pp. 67–89. Corsi, T., S. Boyson, A. Verbraeck, S.-T. van Houten, C. Han, and J. MacDonald. 2006. The Real-Time Global Supply Chain Game: New Educational Tool for Developing Supply Chain Management Professionals. Transportation Journal, Vol. 45, No. 3, pp. 61–73. Cross-Town Improvement Project. 2010. Project Management. San Antonio, Tex. Cruijssen, F., W. Dullaert, and H. Fleuren. 2007. Horizontal Coopera- tion in Transport and Logistics: A Literature Review. Transportation Journal, Vol. 46, No. 3, pp. 22–39. Cutchin, C. 2005. Freight and Commercial Vehicle Operations. California Center for Innovative Transportation, University of California, Berkeley. Deaton, J. P. 2008. How Driverless Cars Will Work. HowStuffWorks, Atlanta, Ga. http://auto.howstuffworks.com/under-the-hood/trends- innovations/driverless-car.htm. Accessed Nov. 12, 2012. Decker, K. D. 2008. A World Without Trucks: Underground Freight Networks. Low-Tech Magazine. www.lowtechmagazine.com/2008/ 02/a-world-without.html. Accessed Nov. 12, 2012. de Jong, G. C., H. F. Gunn, and W. Walker. 2004. National and Interna- tional Freight Transport Models: Overview and Ideas for Further Development. Transport Reviews, Vol. 24, No. 1, pp. 103–124. Bayliss, B. 1988. The Measurement of Supply and Demand in Freight Transport. Avebury, Gower Publishing Company Limited, Alder- shot, United Kingdom. BBC News. 2004. Barcelona Clubbers Get Chipped. London. http://news .bbc.co.uk/2/hi/technology/3697940.stm. Accessed Nov. 9, 2012. Beagan, D. 2009. NCFRP Project 06: Freight-Demand Modeling to Sup- port Public-Sector Decision-Making. Cambridge Systematics, Inc., Cambridge, Mass. Belman, D., and C. White (eds.). 2005. Trucking in the Age of Informa- tion. Ashgate Publishing Co., Burlington, Vt. Belt, S. 2008. Three Most Common Uses for GPS. Associated Content, Denver, Colo. Bhat, C. R., J. Prozzi, and S. Sen. 2005. Decision Support Framework for the Evaluation of Modal Competitiveness. Summary Report 0-4013-S. Texas Department of Transportation, Austin. Boile, M., M. Golias, and S. Ivey. 2010. A Bayesian Hierarchical Network for Truck Demand Modeling. Presented at Innovations in Freight Demand Modeling and Data Symposium, Second Strategic Highway Research Program, Transportation Research Board of the National Academies, Washington, D.C. Bolumole, Y. A. 2001. The Supply Chain Role of Third-Party Logistics Providers. International Journal of Logistics Management, Vol. 12, No. 2, pp. 87–102. Broaddus, A., and C. Gertz. 2008. Tolling Heavy Goods Vehicles: Over- view of European Practice and Lessons from German Experience. In Transportation Research Record: Journal of the Transportation Research Board, No. 2066, Transportation Research Board of the National Academies, Washington, D.C., pp. 106–113. Cambridge Systematics, Inc. 1997. NCHRP Report 388: A Guidebook for Forecasting Freight Transportation Demand. TRB, National Research Council, Washington, D.C. Cambridge Systematics, Inc. 2007. Quick Response Freight Manual II. FHWA, U.S. Department of Transportation. Cambridge Systematics, Inc. 2008. NCFRP Project 06 Draft Interim Report: Freight-Demand Modeling to Support Public-Sector Decision Making. FHWA, U.S. Department of Transportation. Cambridge Systematics, Inc., A. Chatterjee, and H. Cohen. 2004. Accounting for Commercial Vehicles in Urban Transportation Models. FHWA, U.S. Department of Transportation. Cambridge Systematics, Inc., Comsis Corp., and University of Wisconsin- Milwaukee. 1996. Quick Response Freight Manual. Office of Planning and Environment, FHWA, U.S. Department of Transportation. References

78 D’Hont, S. 2004. The Cutting Edge of RFID Technology and Applications for Manufacturing and Distribution. Texas Instruments, Dallas, Tex. Donnell, E. T., M. L. Patten, A. Zineddin, and K. G. Goulias. 1998. Work Order 5: Statewide Transportation Planning Public Involvement Pro- gram Design and Implementation, Phase 1, PennPlan: Making ITS/ CVO Happen: Pennsylvania’s ITS/CVO Business Plan. Pennsylvania Transportation Institute, Pennsylvania State University, University Park. Donnelly, R., A. H. Meyburg, H. Shen, and R. Leachman. 2008. Evaluation of Practice Today. In Conference Proceedings 40: Freight Demand Mod- eling: Tools for Public-Sector Decision Making. Transportation Research Board of the National Academies, Washington, D.C., pp. 27–30. Donnelly, R., M. Wigan, and R. Thompson. 2010. A Hybrid Microsimu- lation Model of Urban Freight Travel Demand. 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79 Demand Modeling and Data Symposium, Second Strategic High- way Research Program, Transportation Research Board of the National Academies, Washington, D.C. Marsh, Inc. 2007. Third Party Logistics Providers Liability Risks. New York. Maryland Transportation Authority. 2008. E-ZPass® Is an Electronic Toll Collection (ETC) System. Baltimore. www.ezpassmd.com/en/about/ about.shtml. Accessed Nov. 12, 2012. Mas, I., and S. Rotman. 2008. Going Cashless at the Point of Sale: Hits and Misses in Developed Countries. The World Bank, Washington, D.C. http://documents.worldbank.org/curated/en/2008/12/10211903/ going-cashless-point-sale-hits-misses-developed-countries. Accessed Jan. 31, 2013. Mello, J., T. Stank, and T. Esper. 2008. A Model of Logistics Outsourcing Strategy. Transportation Journal, Vol. 47, No. 4, pp. 5–25. Miklius, W., K. L. Casavant, and P. V. Garrod. 1976. Estimation of Demand for Transportation of Agricultural Commodities. 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TRB’s second Strategic Highway Research Program (SHRP 2) Report S2-C20-RR-1: Freight Demand Modeling and Data Improvement documents the state of the practice for freight demand modeling. The report also explores the fundamental changes in freight modeling, and data and data collection that could help public and private sector decision-makers make better and more informed decisions.

SHRP 2 Capacity Project C20, which produced Report S2-C20-RR-1, also produced the following items:

• A Freight Demand Modeling and Data Improvement Strategic Plan, which outlines seven strategic objectives that are designed to serve as the basis for future innovation in freight travel demand forecasting and data, and to guide both near- and long-term implementation:

• A speaker's kit, which is intended to be a "starter" set of materials for use in presenting the freight modeling and data improvement strategic plan to a group of interested professionals; and

• A 2010 Innovations in Freight Demand Modeling and Data Symposium.

An e-book version of this report is available for purchase at Amazon, Google, and iTunes.

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