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Spatially Generated Transportation Demands

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  • Train, Kenneth
  • Wilson, Wesley W.

Abstract

Transportation demanders are located at different points in geographical space and have differential access to modes. Central to the planning of transportation infrastructure is the aggregation of different shippers by mode over space. We estimate a modal choice model for rail and barge. However, shippers may not have direct access to one or both modes and incur access (truck) costs. The results indicate that access costs, barge and rail rates, and shippers' attributes matter significantly in mode choice. The choice model is then augmented by rate functions defined over space and used to derive spatially generated modal demand functions.

Suggested Citation

  • Train, Kenneth & Wilson, Wesley W., 2007. "Spatially Generated Transportation Demands," Research in Transportation Economics, Elsevier, vol. 20(1), pages 97-118, January.
  • Handle: RePEc:eee:retrec:v:20:y:2007:i:1:p:97-118
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    References listed on IDEAS

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    1. Winston, Clifford, 1985. "Conceptual Development in the Economics of Transportation: An Interpretive Survey," Journal of Economic Literature, American Economic Association, vol. 23(1), pages 57-94, March.
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    6. Bitzan, John D & Keeler, Theodore E, 2007. "Economies of Density and Regulatory Change in the U.S. Railroad Freight Industry," Journal of Law and Economics, University of Chicago Press, vol. 50(1), pages 157-179, February.
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    9. Yu, Tun-Hsiang & Fuller, Stephen W., 2005. "The Measurement of Grain Barge Demand on Inland Waterways: A Study of the Mississippi River," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 44(1).
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    Cited by:

    1. Jo, Jungkeon & Secor, William, 2022. "Demand for Rail Transportation of Grain to the Southeastern U.S," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322453, Agricultural and Applied Economics Association.
    2. Woxenius, Johan, 2012. "Directness as a key performance indicator for freight transport chains," Research in Transportation Economics, Elsevier, vol. 36(1), pages 63-72.

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