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Integration of Freight Network and Computable General Equilibrium Models

In: Network Infrastructure and the Urban Environment

Author

Listed:
  • Terry L. Friesz

    (George Mason University)

  • Zhong-Gui Suo

    (PB Farradyne Inc)

  • Lars Westin

    (University of Umeå)

Abstract

Over the past 30 years very significant progress has occurred in the understanding and modeling of passenger trip making behavior over networks. Yet, corresponding advances in understanding and modeling of freight transportation decision making over inter-regional, inter-modal networks have not occurred. In fact the most recent large scale U.S. freight network model is able to predict equilibrium network link volumes agreeing with Federal Railway Administration (FRA) density codes (reported data describing annual tonnages on every physical link of the rail system) with a frequency of only about 60% (Friesz et al., 1981; 1983a; 1983b; 1985). This is poor performance since density codes denote upper and lower bounds for link volumes; the difference between those upper and lower bounds is frequently of the same order of magnitude as the predicted volumes themselves. Poor as this accuracy is, it is substantially greater (about three times greater) than that reported for earlier models (Bronzini, 1980) and was achieved by straight-forward extensions of the urban passenger network modeling paradigm. Still greater accuracy may be obtained from a model designed specifically for freight applications from the outset.

Suggested Citation

  • Terry L. Friesz & Zhong-Gui Suo & Lars Westin, 1998. "Integration of Freight Network and Computable General Equilibrium Models," Advances in Spatial Science, in: Lars Lundqvist & Lars-Göran Mattsson & Tschangho John Kim (ed.), Network Infrastructure and the Urban Environment, chapter 12, pages 212-223, Springer.
    • Handle: RePEc:spr:adspcp:978-3-642-72242-4_12
    DOI: 10.1007/978-3-642-72242-4_12
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    Citations

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    Cited by:

    1. Edward N. Robson & Vinayak V. Dixit, 2017. "A General Equilibrium Framework for Integrated Assessment of Transport and Economic Impacts," Networks and Spatial Economics, Springer, vol. 17(3), pages 989-1013, September.
    2. Erik Bergkvist, 2001. "The value of time and forecasting of flowsin freight transportation," ERSA conference papers ersa01p271, European Regional Science Association.
    3. Euijune Kim & Geoffrey J.D. Hewings & Hidayat Amir, 2015. "Project Evaluation of Transportation Projects: an Application of Financial Computable General Equilibrium Model," ERSA conference papers ersa15p453, European Regional Science Association.
    4. Hensher, David A. & Teye, Collins, 2019. "Commodity interaction in freight movement models for New South Wales," Journal of Transport Geography, Elsevier, vol. 80(C).
    5. Robson, Edward N. & Wijayaratna, Kasun P. & Dixit, Vinayak V., 2018. "A review of computable general equilibrium models for transport and their applications in appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 31-53.
    6. World Bank, 2008. "Brazil : Evaluating the Macroeconomic and Distributional Impacts of Lowering Transportation Costs," World Bank Publications - Reports 8083, The World Bank Group.

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