A behavioral freight movement microsimulation model: method and data

REFERENCES

• AASHTO, (2003). Invest in America-Freight Rail Bottom Line Report.
   Google Scholar
• Anderson, M.D., Youngblood, A.D. and Harris, G.A. (2007). "A Statewide Freight Flow Model for Alabama" Proc., the 864th Annual Meeting of the Transportation Research Board, January 2007, Washington, D.C.
   Google Scholar
• American Association of State Highway and Transportation Officials (AASHTO) (2003), Invest in America-Freight Rail Bottom Line Report. Washington D.C.
   Google Scholar
• Auld, J. (2007). "Analysis of National County-Level Heavy-Duty Freight Truck Emissions" M.Sc. Thesis, University of Illinois at Chicago, USA.
   Google Scholar
• Auld, J., Mohammadian A. and Kermit, W. (2009). "Population Synthesis with Subregion-Level Control Variable Aggregation." Journal of Transportation Engineering, 135(9), 632–639.
   Web of Science ®Google Scholar
• Baumol, W.J. and Vinod H.D. (1970). "An Inventory Theoretic Model of Freight Transport Demand." Management Science, 16(7), 413–421.
   Web of Science ®Google Scholar
• Bureau of Economic Analysis (BEA), (2008). Annual Input-Output Accounts of the U.S. Economy. Available at: http://www.bea.gov/industryno_annual.htm, accessed May 2008.
   Google Scholar
• Bureau of Transportation Statistics (BTS), (2008). North American Transportation Atlas Data. Available at: http://www.bts.gov/publications/north_american_transporta-tion_atlas_data/, accessed June 2008.
   Google Scholar
• Cambridge Systematics Inc., (1995). Characteristics and Changes in Freight Transportation Demand: A Guidebook for Planners and Policy Analysts, NCHRP Report 8–30, Transportation Research Board, National Academy Press, Washington, D.C.
   Google Scholar
• Cunningham, W.H.J. (1982). "Freight Modal Choice and Competition in Transportation: A Critique and Categorization of Analysis Techniques" Transportation Journal, 21(4), 66–75.
   Web of Science ®Google Scholar
• Davidsson, P., Henesey, L., Ramstedt, L., Tornquist, J. and Wernstedt, F. (2005). "An Analysis of Agent-Based Approaches to Transport Logistics" Transportation Research Part C, 13(4), 255–271.
   Web of Science ®Google Scholar
• de Jong, G.C. and Ben-Akiva, M. (2007). "A micro-simula-tion model of shipment size and transport chain choice" Transportation Research Part B, 41(9), 950–965.
   Google Scholar
• Federal Highway Administration, (2006). An Overview of the 2002 Commodity Origin-Destination Database: Methodology and Data. Freight Analysis Framework (FAF), Report No.1 (R1).
   Google Scholar
• Fischer, M.J. and Han, M. (2001). Truck Trip Generation Data, Synthesis 298, National Cooperative Highway Research Program, Transportation Research Board, National Academy Press, Washington, D.C.
   Google Scholar
• Fischer, M., Ang-Olson, J., and La, A. (2000). "External urban truck trips based on commodity flows" Transportation Research Record: Journal of the Transportation Research Board, 1707, 73–80.
   Google Scholar
• Harker, P.T. and Friesz, T.L. (1986). "Prediction of Intercity Freight Flows, I: Theory" Transportation Research Part B, 20(2), 139–153.
   Google Scholar
• Hensher, D. and Figliozzi, M.A. (2007). "Behavioural insights into the modelling of freight transportation and distribution systems" Transportation Research Part B, 41(9), 921–923.
   Google Scholar
• Holguin-Veras, J. (2002). "Revealed Preference Analysis of Commercial Vehicle Choice Process" Journal of Transportation Engineering, 128(4), 336–346.
   Web of Science ®Google Scholar
• Hunt, J.D., Stefan, K.J. and Brownlee, A.T. (2006). "Establishment-Based Survey of Urban Commercial Vehicle Movements in Alberta, Canada: Survey Design, Implementation, and Results" Transportation Research Record: Journal of the Transportation Research Board, 1957, 75–83.
   Google Scholar
• Jiang, F., Johnson, P., and Calzada, C. (1999). "Freight demand characteristics and mode choice: an analysis of the results of modeling with disaggregate revealed preference data" Journal of Transportation and Statistics, 2(2), 149–158.
   Google Scholar
• McFadden, D., Winston, C., and Boersh-supan, A. (1985). Joint Estimation of Freight Transportation Decisions under Nomrandom Sampling. In: Analytical Studies in Transport Economics ( edited by A. F. Daughety), 137–157. Cambridge University Press.
   Google Scholar
• Miao, X. and Xi, B. (2008). "Agile Forecasting of Dynamic Logistics Demand" Transport, 23(1), 26–30.
   Web of Science ®Google Scholar
• Newell, A. and Simon, H.A. (1972). Human Problem Solving. Englewood Cliffs, NJ: Prentice Hall.
   Google Scholar
• Proussaloglou, K., Popuri, Y., Tempesta, D., Kasturirangan, K. and Cipra, D. (2007). "Wisconsin Passenger and Freight Statewide Model: A Case Study in Statewide Model Validation" Transportation Research Record: Journal of the Transportation Research Board, 2003, 120–129.
   Google Scholar
• Rodrigue, J.P. (2006). Commodity Chains and Freight Transportation, Chapter 5, Concept 3, in The Geography of Transport Systems, by J. P. Rodrigue, C. Comtois and B. Slack, New York: Routledge.
   Google Scholar
• Samimi, A., Mohammadian, A., and Kawamura, K. (2010) An Online Freight Shipment Survey in US: Lessons Learned and a Non-response Bias Analysis. Proceedings of the 89th Annual Meeting of the Transportation Research Board, Washington DC, 10–14 January 2010.
   Google Scholar
• Schmedding, D., Liedtke, G.T. and Babani, J. (2006). The Rule-Based Freight Transport Simulation System InterLOG, in the Proc. of 85th Annual Meeting of the Transportation Research Board, (CD-ROM), Washington D.C.
   Google Scholar
• Southworth, F. (2003). Freight Transportation Planning: Models and Methods. In Transportation systems plan-ning: methods and applications, by K. G. Goulias.
   Google Scholar
• Stadtler, H. (2005). "Supply chain management and advanced planning — basics, overview and challenges" European Journal of Operational Research, 163,575–588.
   Web of Science ®Google Scholar
• Transportation Research Board, (2008). Forecasting Statewide Freight Toolkit, National Cooperative Highway Research Program: Report 606. Washington D.C.
   Google Scholar
• Tyworth, J. T. (1991). "The inventory theoretic approach in transportation selection models: A critical review" Logistics and Transportation Review, 27(4), 299–318.
   Web of Science ®Google Scholar
• U.S. Census Bureau, Economic Planning and Coordination Division, (2008). County Business Patterns. Available at: http://www.census.gov/epcd/cbp/view/cbpview.html, accessed April 2008.
   Google Scholar
• Vernimmen, B., and Witlox, F. (2003). "The Inventory-Theoretic Approach to Modal Choice in Freight Transport: Literature Review and Case Study" Brussels Economic Review, 46(2), 5–29.
   Google Scholar