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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Impacts of Policy-Induced Freight Modal Shifts. Washington, DC: The National Academies Press. doi: 10.17226/25660.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Impacts of Policy-Induced Freight Modal Shifts. Washington, DC: The National Academies Press. doi: 10.17226/25660.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Impacts of Policy-Induced Freight Modal Shifts. Washington, DC: The National Academies Press. doi: 10.17226/25660.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Impacts of Policy-Induced Freight Modal Shifts. Washington, DC: The National Academies Press. doi: 10.17226/25660.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Impacts of Policy-Induced Freight Modal Shifts. Washington, DC: The National Academies Press. doi: 10.17226/25660.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Impacts of Policy-Induced Freight Modal Shifts. Washington, DC: The National Academies Press. doi: 10.17226/25660.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Impacts of Policy-Induced Freight Modal Shifts. Washington, DC: The National Academies Press. doi: 10.17226/25660.
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177 AASHTO (2003). Transportation—Invest in America: Freight–Rail Bottom Line Report. AASHTO (2010a). Analysis of AASHTO “The Case for Freight” http://downloads.transportation.org/ FreightCaseStudies/SD_Unlocking_Freight_0610.pdf. AASHTO (2010b). “Unlocking Freight.” Part 2 of Transportation Reboot: Restarting America’s Most Essential Operating System—The Case For Capacity: To Unlock Gridlock, Generate Jobs, Deliver Freight, and Connect Communities, Washington, D.C. Abate, M. and G. de Jong (2014). “The Optimal Shipment Size and Truck Size Choice—The Allocation of Trucks Across Hauls.” Transportation Research Part A: Policy and Practice, 59: 262–277. Abbot, P. S. (2018). “Continuing Intermodal Gains Seen by Executives of Class I Rail Firms.” AJOT, Issue #674, September 10. https://www.ajot.com/premium/ajot-continuing-intermodal-gains-seen-by-executives-of- class-i-rail-firms Abbot, P. S. (2016). “CSX, NS Grow Roles in Efficiently Linking Northeast Seaports with Inland Consumers. AJOT, Issue #623, April 04. https://www.ajot.com/premium/ajot-csx-ns-grow-roles-in-efficiently-linking- northeast-seaports-with-inlan Abdelwahab, W. M. (1998). “Elasticities of Mode Choice Probabilities and Market Elasticities of Demand: Evi- dence from a Simultaneous Mode Choice/Shipment-Size Freight Transport Model.” Transportation Research Part E: Logistics and Transportation Review, 34(4): 257–266. Abdelwahab, W. M., and M. A. Sargious (1991). “A Simultaneous Decision-Making Approach to Model the Demand for Freight Transportation.” Canadian Journal of Civil Engineering, 18(3): 515–520. Abdelwahab, W. M. and M. A. Sargious (1990). “Freight Rate Structure and Optimal Shipment Size in Freight Transportation.” Logistics and Transportation Review, 26(3): 271–292. Abdelwahab, W. M. and M. A. Sargious (1992). “Modelling the Demand for Freight Transport.” Journal of Transport Economics and Policy, 26(1): 49–70. Akron Railroad Club Blog (2015). “W.Va. Opens First Train-Truck Terminal.” December 28, 2015. https:// akronrrclub.wordpress.com/2015/12/page/2/ American Association of Port Authorities (2005). Building the Future: Infrastructure Needs of Shallow Draft Ports PIDN Case Study. AAPA Shallow Draft Ports Seminar, Pittsburgh, PA. Anderson, E. (2014a). “Barges Could Bring New Cargo Traffic to Albany Port—East Coast Surge from Panama Canal Could Lift Port of Albany.” Timesunion website, May 3, 2014. Retrieved 20 December 2014, from http://www.timesunion.com/business/article/Barges-could-bring-new-cargo-traffic-to-Albany-5450933.php. Anderson, E. (2014b). “Port of Albany Might Help Congestion at Ports Downstate—Barge Service at Port Could Help Ease Cargo Backups Further South.” Timesunion website, May 3, 2014. Retrieved 20 December 2014, from http://www.timesunion.com/business/article/Port-of-Albany-might-help-congestion-at-ports- 5446973.php. Apostolides, A. (2003). Productivity Growth in Transportation. Bureau of Transportation Statistics, U.S. DOT. Washington, D.C. Appalachian Regional Commission (2009). The Heartland Corridor: Opening New Access to Global Opportunity: 12. Arunotayanun, K. and J. Polak (2007a). “Taste Heterogeneity in Freight Shippers’ Mode Choice Behaviour.” Presented at 86th Annual Meeting of the Transportation Research Board, Washington, D.C. Arunotayanun, K. and J. Polak (2007b). Unobserved Heterogeneity in Freight Shippers’ Mode Choice Behaviour. World Conference on Transport Research, Berkeley, CA. Association of American Railroads (2011). Great Expectations 2011 - Freight Rail’s Role in U.S. Economic Recovery. Washington, D.C. Association of American Railroads (2014). The Economic Impact of America’s Freight Railroads. References

178 Impacts of Policy-Induced Freight Modal Shifts Baumol, W. J. and H. D. Vinoud (1970). “An Inventory Theoretic Model of Freight Transport Demand.” Management Science, 16(7): 413–421. Ben-Akiva, M. and B. Boccara (1995). “Discrete Choice Models with Latent Choice Sets.” International Journal of Research in Marketing, 12(1): 9–24. Ben-Akiva, M. and S. Lerman (2010). Discrete Choice Analysis: Theory and Application to Travel Demand. Cambridge, Massachusetts, The MIT Press. Beuthe, M., F. Degrandsart, J. F. Geerts, and B. Jourquin (2002). “External Costs of the Belgian Interurban Freight Traffic: A Network Analysis of Their Internalisation.” Transportation Research Part D: Transport and Environment, 7(4): 285–301. Bhat, C. R. (1995). “A Heteroscedastic Extreme Value Model of Intercity Travel Mode Choice.” Transportation Research Part B: Methodological, 29(6): 471–483. Blauwens, G., N. Vandaele, E. Van de Voorde, B. Vernimmen, and F. 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180 Impacts of Policy-Induced Freight Modal Shifts Transportation Energy Futures Series. Prepared by Cambridge Systematics, Inc., and the National Renew- able Energy Laboratory (Golden, CO) for the U.S. Department of Energy, Washington, DC. Hall, R. W. (1985). “Dependence Between Shipment Size and Mode in Freight Transportation.” Transportation Science, 19(4): 436–444. Harris, F. (1915). Operations and Costs. Chicago, IL, A.W. Shaw. Heckman, J. J. (1976). Simultaneous Equation Models with Both Continuous and Discrete Endogenous Vari- ables with and Without Structural Shift in the Equations. Studies in Nonlinear Estimation. S. Goldfeld and R. Quant, Ballinger. Hedges, C. A. (1971). “Demand Forecasting and Development of a Framework for Analysis of Urban Commod- ity Flow: Statement of the Problem.” In Special Report 120: Urban Commodity Flow: Report of a Conference Held December 6–9 1970. Highway Research Board, National Research Council, Washington, D.C.:145–148. HERE (2018). “NAVTEQ is now HERE: 30 Years of Providing Leading Mapping, Navigation and Location Services.” Retrieved 12 October 2018, from https://www.here.com/en/navteq. Herman, C. (2014). Interview with Christopher Herman, Program Manager, Freight Rail Policy, Washington State Department of Transportation. J. F. a. Associates. Holguín-Veras, J. (1984). Desarrollo de un Modelo para Cuantificar la Oferta Vehicular en el Transporte de Carga Thesis (M.S. in transportation planning), Universidad Central de Venezuela Instituto de Urbanismo 1984. Holguín-Veras, J. (2002). “Revealed Preference Analysis of Commercial Vehicle Choice Process.” Journal of Transportation Engineering, 128(4): 336. Holguín-Veras, J., C. A. Torres, and X. Ban (2011). “On the Comparative Performance of Urban Delivery Vehicle Classes.” Transportmetrica A: Transport Science, 9(1): 50–73. Holguín-Veras, J., C. Lawson, C. Wanga, M. Jallerc, C. González-Calderóna, S. Campbella, L. Kalahashtia, J. Wojtowicza, and D. Ramirez-Ríosa. (2017). NCFRP Research Report 37: Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Transportation Research Board, Washington, D.C. Holguín-Veras, J., J. Wojtowicz, C. Gonzalez-Calderon, M. Lawrence, J. Skolnik, M. Brooks, S. Zhang, A. Strauss- Wieder, and L. Tavasszy. (2013). NCFRP Report 22: Freight Data Cost Elements. Transportation Research Board of the National Academies, Washington, D.C.: 130. Holguín-Veras, J. and M. A. Brom (2008). Trucking Costs: Comparison Between Econometric Estimation and Cost Accounting. Presented at the 87th Annual Meeting of the Transportation Research Board, Washington, DC. Huso, D. R. (2016) “Sustainable Growth: Railroads Aim to Pull More Freight Off the Highway.”Rail News, June 2016 (electronic newsletter). https://www.progressiverailroading.com/intermodal/article.aspx?id=48412 Illinois DOT (2018). INFRA Grant Announced for the CREATE Program! CREATE 75th Corridor Improvement Project, June 2018. Jack Faucett Associates et al. (2013). Tiger Discretionary Grant Program Assessment & Evaluation: Tasks 4-1 & 4-2 Report. Tiger Application Database Development for FHWA. Jack Faucett Associates Inc. (2007a). Economic Impacts of New Truck Weight Limits on TBTA Operated Bridges, Tilcon New York Inc. Jack Faucett Associates Inc. (2007b). Estimating Multifactor Productivity (MFP) in Pipeline Transportation, 1987–2004, U.S. DOT, BTS. Jarmin, R. S. and J. Miranda (2002). The Longitudinal Business Database. Center for Economic Studies, Discus- sion Paper. CES-WP-02-17. Jersen News (2018). “The Port of Albany: Giving GE a Reason to Stay.” Jersen News, January 29, 2018 Jiang, F., P. Johnson, and C. Calzada (1999). “Freight Demand Characteristics and Mode Choice: An Analysis of the Results of Modeling with Disaggregate Revealed Preference Data.” Journal of Transportation and Statistics, December: 149–158. Kim, K. S. (2002). “Inherent Random Heterogeneity Logit Model for Stated Preference Freight Mode Choice.” Journal of Korean Society of Transportation, 20(3): 1–10. Kingston, J. (2018). “Barges and Rails Viewed by New York City as a Means to Get Trucks Off City Streets.” Freight Waves, October 15, 2018. Accessed at: https://www.freightwaves.com/news/maritime/new-york- city-barges-rail-truck-traffic Leachman, R. C. (2008). “Port and Modal Allocation of Waterborne Containerized Imports from Asia to the United States.” Transportation Research Part E: Logistics and Transportation Review, 44(2): 313–331. Leachman, R. C., T. Prince, T. R. Brown, and G. R. Fetty (2005). Port and Modal Elasticity Study. Southern California Association of Governments. Lewbel, A. (1998). “Semiparametric Latent Variable Model Estimation With Endogenous or Mismeasured Regressors.” Econometrica 66: 105–121. LICA (2018). Weighing Truck Weight Limits on Area Bridges. June 19, 2018. Accessed at: https://licanys.org/ news/25.php

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In recent public policy debates, much emphasis has been placed on proposals to shift freight from highways to rail. This emphasis is based on goals of reducing emissions and highway congestion. However, prudent planning requires an understanding of the basics of mode choices, what could change those choices, and what the impacts will be.

The TRB National Cooperative Freight Research Program's NCFRP Research Report 40: Impacts of Policy-Induced Freight Modal Shifts provides public policymakers with the factors that shippers and carriers consider when choosing freight modes and provides an analytical methodology to quantify the probability and outcomes of policy-induced modal shifts.

This is the final report of the NCFRP Program, which ends on December 31, 2019. NCFRP has covered a range of issues to improve the efficiency, reliability, safety, and security of the nation's freight transportation system.

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