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Locating urban and regional container terminals in a competitive environment: An entropy maximising approach

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  • Teye, Collins
  • Bell, Michael GH
  • Bliemer, Michiel CJ

Abstract

A flexible and policy-oriented model based on the principle of entropy maximisation is proposed for locating competitive multi-user freight facilities in general and inland multi-user intermodal container terminals (IMTs) in particular in a context where multiple users have choices which include whether or not to use the facilities. The overall problem is decomposed into a linked facility location problem (FLP) and a mode choice problem (MCP). The MCP is cast as a three-level nested probability model for determining modal and IMT demands. It was shown that for terminals with sufficiently large handling capacities, the objective function of the overall problem reduces to that of the MCP, the result is a single level mathematical program, which locates facilities to maximise shippers’ expected utility or consumer surplus. The model is suitable for urban or regional planning, but may also be used by terminal operators to estimate shipper demand for given locations. Algorithms for solving the model, principal features of the algorithms and the model are also presented.

Suggested Citation

  • Teye, Collins & Bell, Michael GH & Bliemer, Michiel CJ, 2018. "Locating urban and regional container terminals in a competitive environment: An entropy maximising approach," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 971-985.
    • Handle: RePEc:eee:transb:v:117:y:2018:i:pb:p:971-985
    DOI: 10.1016/j.trb.2017.08.017
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    1. Arnold, Pierre & Peeters, Dominique & Thomas, Isabelle, 2004. "Modelling a rail/road intermodal transportation system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(3), pages 255-270, May.
    2. G. M. Hyman, 1969. "The Calibration of Trip Distribution Models," Environment and Planning A, , vol. 1(1), pages 105-112, June.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, November.
    4. Niérat, Patrick, 1997. "Market area of rail-truck terminals: Pertinence of the spatial theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(2), pages 109-127, March.
    5. Bontekoning, Y. M. & Macharis, C. & Trip, J. J., 2004. "Is a new applied transportation research field emerging?--A review of intermodal rail-truck freight transport literature," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(1), pages 1-34, January.
    6. Teye, Collins & Bell, Michael G.H. & Bliemer, Michiel C.J., 2017. "Entropy maximising facility location model for port city intermodal terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 1-16.
    7. Lamond, B. & Stewart, N. F., 1981. "Bregman's balancing method," Transportation Research Part B: Methodological, Elsevier, vol. 15(4), pages 239-248, August.
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    Cited by:

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