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Cargo port choice equilibrium: The case of shipping lines and cargo port service providers

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  • Talley, Wayne K.
  • Ng, ManWo

Abstract

The cargo port choice literature has extensively investigated port choice from the shippers and shipping lines’ perspective, and more recently, also from the perspective of cargo port service providers. This paper extends and unifies the shipping lines and cargo port service providers port choice literature by recognizing that shipping lines and providers of cargo port services do not choose their ports in isolation of each other. Instead, their choices are interdependent. To model this interaction, a cargo port choice equilibrium model is proposed. To demonstrate how the model can be used in practice, a discussion is provided of how the proposed equilibrium model can be adopted to forecast directional behavioral changes by carriers and cargo port service providers in the case of disturbances in the equilibrium.

Suggested Citation

  • Talley, Wayne K. & Ng, ManWo, 2022. "Cargo port choice equilibrium: The case of shipping lines and cargo port service providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    • Handle: RePEc:eee:transe:v:164:y:2022:i:c:s1366554522002046
    DOI: 10.1016/j.tre.2022.102817
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    References listed on IDEAS

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    1. Talley, Wayne K. & Ng, ManWo, 2020. "Note: Determinants of cargo port, hinterland cargo transport and port hinterland cargo transport service chain choices by service providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).
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    Cited by:

    1. Yan, Ran & Wang, Shuaian & Zhen, Lu, 2023. "An extended smart “predict, and optimize” (SPO) framework based on similar sets for ship inspection planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    2. Talley, Wayne K. & Ng, ManWo, 2024. "Port congestion probability: Port performance evaluation using cargo port choice equilibrium," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    3. Mo, Jixian & Gao, Ruobin & Fai Yuen, Kum & Bai, Xiwen, 2024. "Predictive analysis of sell-and-purchase shipping market: A PIMSE approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).

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