Freight Demand Modeling and Data Improvement (2013)

Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

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. Presented at Innova- tions in Freight Demand Modeling and Data Symposium, Second Strategic Highway Research Program, Transportation Research Board of the National Academies, Washington, D.C. Dougherty, M. 1995. A Review of Neural Networks Applied to Trans- port. Transportation Research Part C: Emerging Technologies, Vol. 3, No. 4, pp. 247–260. Eatough, C. J., S. C. Brich, and M. J. Demetsky. 1998. A Methodology for Statewide Intermodal Freight Transportation Planning. Report 99-R12. Virginia Transportation Research Council, Charlottesville. Federal Highway Administration. 2009a. Freight Management and Operations. Conclusions. U.S. Department of Transportation. Federal Highway Administration. 2009b. Freight Management and Operations. Summary of Benefits and Challenges. U.S. Department of Transportation. Federal Highway Administration. 2009c. Freight Management and Oper- ations. Swiss Heavy Goods Vehicle Control Sites Peer Exchange Meet- ing. U.S. Department of Transportation. http://ops.fhwa.dot.gov/ freight/sw/doc/swisspeerexchgmtg/index.htm. Accessed Nov. 9, 2012. Federal Highway Administration. 2010. Freight Management and Operations. Announcing a New Freight Course: Uses of Multimodal Freight Forecasting in Transportation Planning. U.S. Department of Transportation. Federal Motor Carrier Safety Administration. 2010. Commercial Vehicle Information Systems and Networks (CVISN). U.S. Department of Transportation. Federal Motor Carrier Safety Administration. 2011. Commercial Motor Vehicle (CMV) Roadside Technology Corridor. U.S. Depart- ment of Transportation. www.fmcsa.dot.gov/facts-research/art- CMV-Roadside-Technology-Corridor.htm. Accessed Nov. 12, 2012. Fries, N., G. C. de Jong, Z. Patterson, and U. Weidmann. 2010. Shipper Willingness to Pay to Increase Environmental Performance in Freight Transportation. In Transportation Research Record: Journal of the Transportation Research Board, No. 2168, Transportation Research Board of the National Academies, Washington, D.C., pp. 33–42. Friesz, T. L., R. L. Tobin, and P. T. Harker. 1983. Predictive Intercity Freight Network Models: The State-of-the-Art. Transportation Research Part A: Policy and Practice, Vol. 17A, No. 6, pp. 409–417. Guo, J., and Q. Gong. 2010. A Firm-Based Freight Demand Modeling Framework Capturing Intra-Firm Interaction and Joint Logistic Decision Making. 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. Hancock, K. 2008. Conference Proceedings 40: Freight Demand Modeling: Tools for Public-Sector Decision Making. Transportation Research Board of the National Academies, Washington, D.C. Hansen, M., and S. Meissner. 2007. Identification and Tracking of Individuals and Social Networks Using the Electronic Product Code on RFID Tags. Independent Centre for Privacy Protections, Kiel, Germany. Holguín-Veras, J. 2011. NCFRP Project 25[Active]: Freight Trip Genera- tion and Land Use. Transportation Research Board of the National Academies, Washington, D.C. Holguín-Veras, J., G. List, A. Meyburg, K. Ozbay, R. Paaswell, H. Teng, and S. Yahalom. 2001. An Assessment of the Methodological Alterna- tives for a Regional Freight Model in the NYMTC Region. New York Metropolitan Transportation Council, New York. Holguín-Veras, J., and E. Thorson. 2000. Distributions in Commodity- Based and Trip-Based Freight Demand Modeling: Investigation of Relationships. In Transportation Research Record: Journal of the Trans- portation Research Board, No. 1707, TRB, National Research Council, Washington, D.C., pp. 37–48. Hovi, I. B., and W. Hansen. 2010. A Model System for Forecasting National and International Freight Transport in Norway. 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. Hyodo, T. 2010. Modeling Truck Route Choice Behavior by Traffic Electronic Application Data. Presented at Innovations in Freight Demand Modeling and Data Symposium, Second Strategic High- way Research Program, Transportation Research Board of the National Academies, Washington, D.C. IHS Global Insight. 2010. Transearch. Englewood, Colo. www.ihs.com/ products/global-insight/industry-analysis/commerce-transport/ database.aspx. Accessed Nov. 12, 2012. IntelliDrive Program. 2010. Smart Roadside Initiative. U.S. Department of Transportation. Intelligent Transportation Systems. 2008. CEFM Evaluation Report Overview. Research and Innovative Technology Administration, U.S. Department of Transportation. Intelligent Transportation Systems Joint Program Office. 2009. ITS/ Operations Resource Guide. Research and Innovative Technology Administration, U.S. Department of Transportation. www.its.dot.gov/ press/announcement/resource_guide.htm. Accessed Nov. 9, 2012. Jack Faucett Associates. 1999. Research and Development of Destination, Mode, and Routing Choice Models for Freight. Small Business Innova- tion Research Office, DTS-22, U.S. Department of Transportation. Jinhua, X., K. L. Hancock, and F. Southworth. 2003. Dynamic Freight Traffic Simulation Providing Real-Time Information. Proc., Winter Simulation Conference, New Orleans, La., pp. 1711–1719. John, L. 2009. How the AVG System Works. John Bean Technologies Corporation, Chalfont, Pa. Kuzmyak, J. R. 2008. NCHRP Synthesis of Highway Practice 384: Fore- casting Metropolitan Commercial and Freight Travel. Transportation Research Board of the National Academies, Washington, D.C. Liao, C. 2010. Fusing Public and Private Truck Data to Support Regional Freight Planning and 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. Lieb, R., and B. Bentz. 2005. The Use of Third-Party Logistics Services by Large American Manufacturers: The 2004 Survey. Transportation Journal, Vol. 44, No. 2, pp. 5–15. Maes, T., and K. Ramaekers. 2010. Innovative Freight Transportation Framework for Flanders. Presented at Innovations in Freight

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. American Journal of Agricultural Economics, Vol. 58, No. 2, pp. 217–223. Murray, M. 2012. Logistics/Supply Chain. Selecting A Third Party Logistics (3PL) Provider. http://logistics.about.com/od/strategicsupplychain/ a/select_3PL.htm. Accessed Nov. 12. Norikane, S. 2008. Technical Overview. California Department of Trans- portation, Sacramento. Oregon Department of Transportation. 2008. Commercial Vehicle Infor- mation Systems and Networks. Salem. Pak Mail WorldWide. 2010. Freight Forwarding and Logistics. Packaging Services & Shipping Services, Tampa, Fla. Peterson, B., and F. Southworth. 2010. Generation of a U.S. Commodity Flows Matrix Using Log-Linear Modeling and Iterative Propor- tional Fitting (Freight Analysis Framework 3). Oak Ridge National Laboratory, Oak Ridge, Tenn. Pratyush, B. 2003. ITS/Commercial Vehicle Operations. University of California Transportation Center, Berkeley. Prozzi, J., P. Siegesmund, and R. Harrison. 2006. Estimating Truck Travel Data for Texas. Report No. 5-4713-01-1. Center for Transportation Research at the University of Texas, Austin. Quiroga, C., N. Koncz, E. Kraus, J. Villa, J. Warner, Y. Li, D. Winterich, T. Trego, and J. Short. 2011. NCFRP Report 9: Guidance for Devel- oping a Freight Transportation Data Architecture. Transportation Research Board of the National Academies, Washington, D.C. Reino, R. 2010. Zippity-Do-Dah; I-95 High Speed E-ZPass Lanes Open in Hampton. Fosters News. June 18. www.fosters.com/apps/pbcs .dll/article?AID=/20100618/GJNEWS_01/706189934/-1/fosnews. Accessed Nov. 12, 2012. Research and Innovative Technology Administration. 2009. 2007 Com- modity Flow Survey United States. Bureau of Transportation Statis- tics, U.S. Department of Transportation. www.rita.dot.gov/bts/ publications/commodity_flow_survey/final_tables_december_ 2009/index.html. Accessed Jan. 31, 2013. Research and Innovative Technology Administration. 2012. National Transportation Atlas Database. Bureau of Transportation Statis- tics, U.S. Department of Transportation. www.rita.dot.gov/bts/ publications/national_transportation_atlas_database/. Accessed Jan. 31, 2013. Ruan, M., J. Lin, and K. Kawamura. 2010. Modeling Commercial Vehicle Daily Tour Chaining. 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. Safefreight Technology. 2010. Our GPS Tracking System: Your Fleet Man- agement System for Visibility on Demand. Edmonton, Alberta, Canada. www.safefreight.com/gps-tracking-system. Accessed Nov. 12, 2012. Sharman, B., and Roorda, M. 2010. Analysis Tool to Process Passively Col- lected GPS Data for Commercial Vehicle Demand Modeling Applica- tions. Presented at Innovations in Freight Demand Modeling and Data Symposium, Second Strategic Highway Research Program, Transportation Research Board of the National Academies, Washing- ton, D.C. Sivakumar, A., and C. R. Bhat. 2002. Fractional Split Distribution Model for Statewide Commodity-Flow Analysis. In Transportation Research Record: Journal of the Transportation Research Board, No. 1790, Trans- portation Research Board of the National Academies, Washington, D.C., pp. 80–88. Southworth, F., D. Davidson, H. Hwang, B. E. Peterson, S. Chin. 2010. Freight Management and Operations. The Freight Analysis Frame- work, Version 3: Overview of the FAF3 National Freight Flow Tables. Federal Highway Administration, U.S. Department of Transportation. Spasovic, L. N. 2004. Study to Determine the Need for Innovative Tech- nologies for Container Transportation System. National Center for Transportation and Industrial Productivity, New Jersey Institute of Technology, Newark. Stefan, K., J. McMillan, and J. Hunt. 2005. Urban Commercial Vehicle Movement Model for Calgary, Alberta, Canada. In Transportation Research Record: Journal of the Transportation Research Board, No. 1921, Transportation Research Board of the National Acade- mies, Washington, D.C., pp. 1–10. Swedburg, C. 2009. MicroSD Card Brings NFC to Phones for Credit Card Companies, Banks. RFID Journal. www.rfidjournal.com/article/ view/7224. Accessed Nov. 12, 2012. Ta, C., A. V. Goodchild, and B. Ivanov. 2010. Building Resilience into Freight Transportation Systems. In Transportation Research Record: Journal of the Transportation Research Board, No. 2168, Transporta- tion Research Board of the National Academies, Washington, D.C., pp. 129–135. Tarnoff, P. J., D. M. Bullock, S. E. Young, J. Wasson, N. Ganig, and J. R. Sturdevant. 2009. Continuing Evolution of Travel Time Data Information Collection and Processing. Presented at 88th Annual Meeting of the Transportation Research Board, Washington, D.C. Tavasszy, L. A. 2008. Freight Modeling: An Overview of International Experiences. In Conference Proceedings 40: Freight Demand Model- ing: Tools for Public-Sector Decision Making. Transportation Research Board of the National Academies, Washington, D.C., pp. 47–55. Tay, L. P. 2007. HDB Introduces RFID Season Parking Ticket. RFID Asia Journal. Singapore. www.rfid-asia.info/2007/11/hdb-introduce-rfid- season-parking.htm. Accessed Nov. 12, 2012. Tri-State Transportation Campaign. 2002. E-ZPass Gains New Customers. Mobilizing the Region, No. 386, October 7. www.tstc.org/bulletin/ 20021007/mtr38609.htm. Accessed Nov. 9, 2012. Trucking Industry Mobility & Technology Coalition. 2008. Programs/ Initiatives. Arlington, Va. www.freightmobility.com/Programs_ Initiatives.html. Accessed Nov. 9, 2012. U.S. Census Bureau. 2009. Service Annual Survey: 2007. U.S. Depart- ment of Commerce. Valdehueza, G. D. E. 2008. The Circular Flow of Economic Activity. Lourdes College, Sylvania, Ohio. Vilain, P., and T. Muhammad. 2010. Freight Demand Modeling Using Econometric Models. Presented at Innovations in Freight Demand Modeling and Data Symposium, Second Strategic Highway Research Program, Transportation Research Board of the National Acade- mies, Washington, D.C.

80 Wang, H., K. Jang, and C. Chan. 2010. Analysis and Multi-Level Model- ing of Truck Freight Demand. 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. Wang, Q., and J. Holguín-Veras. 2010. A Tour-Based Urban Freight Demand Model Using Entropy Maximization. Presented at Innova- tions in Freight Demand Modeling and Data Symposium, Second Strategic Highway Research Program, Transportation Research Board of the National Academies, Washington, D.C. Washington State Department of Transportation. 2010a. Commercial Vehicle Information Systems and Networks. Olympia. http://wsdot .wa.gov/CommercialVehicle/CVISN/. Accessed Nov. 12, 2012. Washington State Department of Transportation. 2010b. Weigh-in- Motion (WIM) Systems. University of Washington, Seattle. Wiegmans, B. 2010. The Freight Transport Portfolio: A New Way to Analyze Intermodal Freight Transport As Compared to Single-Mode Road Transport. Transportation Journal, Vol. 49, No. 2, pp. 44–52. Wilson, G. W. 1980. Economic Analysis of Intercity Freight Transporta- tion. Indiana University Press, Bloomington. Winston, C. 1983. The Demand for Freight Transportation: Models and Applications. Transportation Research Part A: Policy and Practice, Vol. 17A, No. 6, pp. 419–427. Zsidisin, G., M. D. Voss, and M. Schlosser. 2007. Shipper–Carrier Rela- tionships and Their Effect on Carrier Performance. Transportation Journal, Vol. 46, No. 2, pp. 5–18.