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Locating transit hubs in a multi-modal transportation network: A cluster-based optimization approach

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  • Yuan, Yun
  • Yu, Jie

Abstract

This paper develops a mathematical model with equilibrium constraints for integrated design of transit hub locations and link establishments in a multimodal network, grounded on the cluster-based framework to capture real-world geographical and administrative features as well as to improve the overall transit-oriented system performance. By explicitly capturing multimodal transfer activities and cost implications with virtual transfer nodes and arcs, this study models transit hub as a realistic transportation infrastructure rather than a single node in the network. A genetic-algorithm-based heuristic embedded with the Augmented Lagrangian Dual algorithm is developed to solve the problem to meta-optimality.

Suggested Citation

  • Yuan, Yun & Yu, Jie, 2018. "Locating transit hubs in a multi-modal transportation network: A cluster-based optimization approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 85-103.
  • Handle: RePEc:eee:transe:v:114:y:2018:i:c:p:85-103
    DOI: 10.1016/j.tre.2018.03.008
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    References listed on IDEAS

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    Cited by:

    1. Mohammadi, Mehrdad & Jula, Payman & Tavakkoli-Moghaddam, Reza, 2019. "Reliable single-allocation hub location problem with disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 123(C), pages 90-120.
    2. Schmidt, Carise E. & Silva, Arinei C.L. & Darvish, Maryam & Coelho, Leandro C., 2019. "The time-dependent location-routing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 293-315.

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