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Forecasting Statewide Freight Toolkit (2008)

Chapter: Appendix C - References with Mode Components

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Page 152
Suggested Citation:"Appendix C - References with Mode Components." National Academies of Sciences, Engineering, and Medicine. 2008. Forecasting Statewide Freight Toolkit. Washington, DC: The National Academies Press. doi: 10.17226/14133.
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Suggested Citation:"Appendix C - References with Mode Components." National Academies of Sciences, Engineering, and Medicine. 2008. Forecasting Statewide Freight Toolkit. Washington, DC: The National Academies Press. doi: 10.17226/14133.
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Page 154
Suggested Citation:"Appendix C - References with Mode Components." National Academies of Sciences, Engineering, and Medicine. 2008. Forecasting Statewide Freight Toolkit. Washington, DC: The National Academies Press. doi: 10.17226/14133.
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Page 155
Suggested Citation:"Appendix C - References with Mode Components." National Academies of Sciences, Engineering, and Medicine. 2008. Forecasting Statewide Freight Toolkit. Washington, DC: The National Academies Press. doi: 10.17226/14133.
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Suggested Citation:"Appendix C - References with Mode Components." National Academies of Sciences, Engineering, and Medicine. 2008. Forecasting Statewide Freight Toolkit. Washington, DC: The National Academies Press. doi: 10.17226/14133.
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Suggested Citation:"Appendix C - References with Mode Components." National Academies of Sciences, Engineering, and Medicine. 2008. Forecasting Statewide Freight Toolkit. Washington, DC: The National Academies Press. doi: 10.17226/14133.
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Suggested Citation:"Appendix C - References with Mode Components." National Academies of Sciences, Engineering, and Medicine. 2008. Forecasting Statewide Freight Toolkit. Washington, DC: The National Academies Press. doi: 10.17226/14133.
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152 This appendix includes references that were reviewed during the development of this Toolkit. These references may be useful to practitioners undertaking freight forecasting. The references are annotated by the model component(s) to which it applies. The model components are those described in Section 4.0 of the Toolkit. A P P E N D I X C References with Mode Components

Table C.1. References. Model Component Reference Direct Factoring Trip Generation Trip Distribution Mode Choice Assignment Economic and Land Use Modeling Abrahamsson, T., Estimation of Origin-Destination Matrices Using Traffic Counts – A Literature Survey, IR-98-0212, International Institute for Applied Systems Analysis, May 1998. Aerde, M., Rakha, H. and Paramahamsan, H., Estimation of O-D Matrices: The Relationship between Practical and Theoretical Considerations, Transportation Research Board CD-ROM, 2003. Ashtakala, B. and Murthy, A.S.N., Optimized Gravity Models for Commodity Transportation, Journal of Transportation Engineering, Vol. 114, No. 4, 1988, pp. 393-409. Ashtakala, B. and Murthy, A.S.N., Sequential Models to Determine Intercity Commodity Transportation Demand, Transportation Research A, Vol. 27A, No. 5, 1993, pp. 373-382. Black, W.R., The Utility of the Gravity Model and Estimates of Its Parameters in Commodity Flow Studies, Proceedings of the Association of American Geographers, Volume 3, 1971, pp. 28-32. Black, W.R., Transport Flows in the State of Indiana: Commodity Database Development and Traffic Assignment, Phase 2, Transportation Research Center, Indiana University, Bloomington, July 15, 1997. Branyan, C.O. and Mickle, G.D., Projecting Commodity Movements for Inland Waterways Port Development, Transportation Research Record #669, 1978, pp. 5-7. C. Apffel, J. Jayawardana, et al., Freight Components in Louisiana’s Statewide Intermodal Transportation Plan, Transportation Research Record 1552, 32-41, 1996. Cambridge Systematics, et al., Quick Response Freight Manual, Federal Highway Administration, Travel Model Improvement Program, Report DOT-T-97-10, September 1996. (continued on next page)

Model Component Reference Direct Factoring Trip Generation Trip Distribution Mode Choice Assignment Economic and Land Use Modeling Cambridge Systematics, Inc., Alternative Planning Approaches: Structural and Direct, Statewide Freight Demand Forecasting, National Cooperative Highway Research Program (NCHRP) Project 20-17, May 1980. Cambridge Systematics, Inc., Characteristics and Changes in Freight Transportation Deman d, National Cooperative Highway Research Program (NCHRP) Report 388, 1993. Cambridge Systematics, Inc.; Vermont Statewide Freight Study; Final Report, prepared for the Vermont Department of Transportation; March 2001. Casavant, K.L. et al., Survey Methodology for Collecting Freight Truck and Destination Data, Transportation Research Record, No. – 1477, 1995, pp. 7-14. Center for Transportation Research and Education, State University, Developer’s Guide for the Statewide Freight Transportation Model, undated. http://www.ctre.iastate.edu/statmod/dev_guid.pdfIowa. Chang, T. et al., Routing Hazardous Materials With Stochastic, Dynamic Link Attributes: A Case Study, Transportation Research Board 2002 CD-ROM. Chin, S. et al., Estimating State-Level Truck Activities in America, Journal of Transportation and Statistics, January 1998, pp. 63-74. Coutinho-Rodrigues, et al., Interactive Spacial Decision-Support Systems for Multiobjective Hazardous materials Location-Routing Problems, Transportation Research Record, No. #1602, 1997, pp. 101-109. De la Barra, T., Integrated Land Use and Transport Modeling: Decision Chains and Hierarchies., Cambridge University Press, 1989. E. Jones, A. Sharma, Development of Statewide Freight Forecasting Model for Nebraska, Transportation Research Board, 2003. Hewitt, et al., Infrastructure and Economic Impacts of Changes in Truck Weight Regulations in Montana, Transportation Research Record, No. #1653, 1999, pp. 42-51. Table C.1. (Continued).

Model Component Reference Direct Factoring Trip Generation Trip Distribution Mode Choice Assignment Economic and Land Use Modeling Holguin-Veras and Thorson, E., Trip Length Distributions in Commodity-Based and Trip-Based Freight Demand Modeling Investigation of Relationships, Transportation Research Record, No. – 1707, 2000, pp. 37-48. Horowitz, A.J., Guidebook on Statewide Travel Forecasting, Federal Highway Administration, FHWA-HEP-99-007, July 1999. Hu, P. et al., Estimating Commercial Truck VMT of Interstate Motor Carriers: Data Evaluation, Oak Ridge national Laboratory Report, November 1989. J. Brogan, S. Brich, M. Demetsky, Identification and Forecasting of Key Commodities for Virginia, Transportation Research Record 1790, 73-79, 2002. Kim, H. et al., Origin-Destination Matrices Estimated with a Genetic Algorithm from Link Traffic Counts, Transportation Research Record, No. #1771, pp. 156- 163, 2001. Lau, S., Truck Travel Surveys: A Review of the Literature and State-of-the- Art, MTC, Oakland, CA, January 1995, NCHRP Web Doc 3 Multimodal Transportation Planning Data: Final Report, 1997, http://books.nap.edu/books/nch003/html/166.html Lawrence, M.B. & Sharp, R.G., Freight Transportation Productivity in the 1980s: A Retrospective, Journal of the Transportation Research Forum, Vol. XXXII, No. 1, 158-171, 1991. Lee, H. and Viele, K, Loglinear Models and Goodness-of-Fit Statistics for Train Waybill Data, Journal of Transportation and Statistics, Vol. 4, No. 1, 2001, http://www.bts.gov/publications/jts/v4n1/paper5/lee.html. Linsenmeyer, D., Effect of Unit-Train Grain Shipments on Rural Nebraska Roads, Transportation Research Record, No. #875, 1982, pp. 60-64. Mahmassani et al., Air Freight Usage Patterns of Technology-Based Industries, Transportation Research Record, No. #1179, 1988, pp. 33-39. Table C.1. (Continued). (continued on next page)

Model Component Reference Direct Factoring Trip Generation Trip Distribution Mode Choice Assignment Economic and Land Use Modeling McCrary, J. and Harrison, R., North American free Trade Agreement Trucks on U.S. Highway Corridors, Transportation Research Record, No. #1653, 1999, pp. 79-85. Mendoza et al., Multiproduct Network Analysis of Freight Land Transport Between Mexico and the United States, Transportation Research Record, No. #1653, 1999, pp. 69-78. Metaxatos, P., Accuracy of Origin-Destination Highway Freight Weight and Value Flows, Transportation Research Board 2003 CD-ROM. Middleton et al., Trip Generation for Special-Use Truck Traffic, Transportation Research Record, No. – 1090, 1986, pp. 8-13. Morlok, E. and Riddle, S., Estimating the Capacity of Freight Transportation Systems, Transportation Research Record, No. #1653, 1999, pp. 1-8. Morlok, E.K. et al., A Sequential Shipper-Carrier Network Model for Predicting Freight Flows, Transportation Science, Vol. 20, No. 2, May 1986, pp. 80-91. Morlok, E.K., and Warner, J.A., Approximation Equations for Costs of Rail, Trailer- on-Flatcar, and Truck Intercity Freight Systems, Transportation Research Record. No. – 637, 1997, pp. 71-77. Morton, A.L., A Statistical Sketch of Intercity Freight Demand, Highway Research Record 296, 47-65, 1969. Murthy, A.S.N. and Ashtakala, B., Modal Split Analysis Using Logit Models, Journal of Transportation Engineering, Vol. 113, No. 5, 1987, pp. 502-519. National Cooperative Highway Research Program (NCHRP) Synthesis 298, Truck Trip Generation Data, Transportation Research Board, 2001. URS Greiner Woodward Clyde, “Statewide Model Truck Trip Table Update Project,” prepared for the New Jersey Department of Transportation, January 1999. Table C.1. (Continued).

Model Component Reference Direct Factoring Trip Generation Trip Distribution Mode Choice Assignment Economic and Land Use Modeling Ohio Department of Transportation, Interim Model on Freight Impacts on Ohio’s Roads, (to be fully functional on 2005). Ozment, J, Demand for Intermodal Transportation in Arkansas, Walton College of Business, University of Arkansas, Unpublished Paper (undated, about 2001). Park, M. and Smith, R., Development of a Statewide Truck-Travel Demand Model with Limited Origin-Destination Survey Data, Transportation Research Record, No. #1602, 1997, pp. 14-21. Pendyala, et al., Freight Travel Demand Modeling: Synthesis of Approaches and Development of a Framework, Transportation Research Record, No. #1725, 2000, pp. 9-16. Rios, A. et al., The Value of Different Categories of Information in Estimating Freight Origin-Destination Tables, presented at the 81st Annual Meeting of the Transportation Research Board (CD-ROM), January 2002. Russel, E. et al., Monitoring Travel Patterns of Heavy Trucks – Summary Report, Unpublished, Prepared for the Kansas Department of Transportation, K-Trans Study No. 92-3, 1997. Russel, E.; Sorenson, L.; Miller, R.; Microcomputer Transportation Planning Models used to Develop Key Highway Commodity Flows and to Estimate ESAL Values; Unpublished, prepared for the Midwest Transportation Center at Iowa State University and the Kansas Department of Transportation. Sivakumar, A. and Bhat, C., Fractional Split-Distribution Model for Statewide Commodity-Flow Analysis, Transportation Research Record, No. – 1790, 2002, pp. 80-88. Sorratini, J.A., and Smith, R.L., Development of a Statewide Truck Trip Forecasting Model Based on Commodity Flows and Input-Output Coefficients, Transportation Research Board 2000 CD-ROM. Table C.1. (Continued). (continued on next page)

Model Component Reference Direct Factoring Trip Generation Trip Distribution Mode Choice Assignment Economic and Land Use Modeling Sorratini, J.A., Estimating Statewide Truck Trips Using Commodity Flows and Input-Output Coefficients, Journal of Transportation and Statistics, April 2000, pp. 53-67. V. Eusebio and S. Rindom, Grain Transportation Service Demand Projections for Kansas: 1995 and Beyond, Kansas Department of Transportation, July 1990. Veith, M. and Bronzini, M.S., Commodity Flow and Multimodal Transportation Analysis for Inland Waterway Planning, Transportation Research Record, No. #636, 1977, pp. 8-14. Vilain, et al., Estimation of Commodity Inflows to a Substate Region, Transportation Research Record, No. #1653, 1999, pp. 17-26. Wang, X. and Regan, A., Assignment Models for Local Truckload Trucking Problems with Stochastic Service Times and Time Window Constraints, Transportation Research Record, No. #1771, 2001, pp. 61-68. Wilbur Smith Associates, Kentucky Statewide Traffic Model Final Calibration Report, April 1997. Wilbur Smith Associates, Kentucky Statewide Traffic Model Update, January 2001. Wilbur Smith Associates, Modal Analysis of Wisconsin Freight Traffic Data, prepared for Wisconsin Department of Transportation,, August 2002. Wilson, F.R. et al., Factors That Determine Mode Choice in the Transportation of General Freight, Transportation Research Record, No. #1061, 1986, pp. 26-31. Ziliaskopoulos, et al., Solution Algorithm for Combined Interregional Commodity Flow and Transportation Network Model with Link Capacity Constraints, Transportation Research Record, No. #1771, 2001, pp. 114-121. Table C.1. (Continued).

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TRB's National Cooperative Highway Research Program (NCHRP) Report 606: Forecasting Statewide Freight Toolkit explores an analytical framework for forecasting freight movements at the state level.

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