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Improving the Resilience of Port–Hinterland Container Logistics Transportation Systems: A Bi-Level Programming Approach

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  • Song Gao

    (School of Management, Zhejiang University, Hangzhou 310058, China)

  • Nan Liu

    (School of Management, Zhejiang University, Hangzhou 310058, China)

Abstract

Port–hinterland container logistics transportation systems (PHCLTSs) are significant to economic and social development. However, various kinds of unconventional emergency events (UEEs), such as natural or human-caused disasters, threaten PHCLTSs. This study aims to measure and improve the resilience of PHCLTSs. Bi-level programming models with two different lower level models are established to help PHCLTSs recover their capacity efficiently in the face of UEEs. In the upper level model, the government makes immediate recovery decisions about a damaged PHCLTS with the goal of improving the resilience of the PHCLTS. In the lower level models, truck carriers make decisions about transportation routes and freight volume in the recovered PHCLTS. They cooperate fully to pursue the maximization of total profit and are coordinated by a central authority, or they make their own decisions to pursue maximization of their own profit noncooperatively. An algorithm combining particle swarm optimization (PSO) and traditional optimization algorithms is proposed to solve the bi-level programming models. The numerical experimental results show the validity of the proposed models.

Suggested Citation

  • Song Gao & Nan Liu, 2021. "Improving the Resilience of Port–Hinterland Container Logistics Transportation Systems: A Bi-Level Programming Approach," Sustainability, MDPI, vol. 14(1), pages 1-33, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2021:i:1:p:180-:d:710657
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    References listed on IDEAS

    as
    1. Chen, Hong & Lam, Jasmine Siu Lee & Liu, Nan, 2018. "Strategic investment in enhancing port–hinterland container transportation network resilience: A network game theory approach," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 83-112.
    2. Lichun Chen & Elise Miller-Hooks, 2012. "Resilience: An Indicator of Recovery Capability in Intermodal Freight Transport," Transportation Science, INFORMS, vol. 46(1), pages 109-123, February.
    3. Talley, Wayne K. & Ng, ManWo, 2018. "Hinterland transport chains: A behavioral examination approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 94-98.
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