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Delimiting port hinterlands based on intermodal network flows: Model and algorithm

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  • Wang, Xinchang
  • Meng, Qiang
  • Miao, Lixin

Abstract

This study aims to propose a tangible approach to delimiting the probabilistic hinterland of a port of interest. We first build a geometric model for the probabilistic port hinterland based on intermodal network flows jointly using discrete choice analysis and geographical information of shippers. We further design an algorithm that can efficiently determine the hinterland boundaries using the sample approximation of shippers’ choice probabilities. We provide theoretical results that characterize the minimum computational effort required to achieve a certain degree of accuracy in the sample approximation. We also offer two numerical case studies to justify the proposed approach.

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  • Wang, Xinchang & Meng, Qiang & Miao, Lixin, 2016. "Delimiting port hinterlands based on intermodal network flows: Model and algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 88(C), pages 32-51.
    • Handle: RePEc:eee:transe:v:88:y:2016:i:c:p:32-51
    DOI: 10.1016/j.tre.2016.02.004
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    9. Bouchery, Yann & Woxenius, Johan & Fransoo, Jan C., 2020. "Identifying the market areas of port-centric logistics and hinterland intermodal transportation," European Journal of Operational Research, Elsevier, vol. 285(2), pages 599-611.
    10. Souza, Marlon Fernandes de & Tisler, Trevor Ray & Castro, Gustavo Spadotti Amaral & Oliveira, Andréa Leda Ramos de, 2023. "Port regionalization for agricultural commodities: Mapping exporting port hinterlands," Journal of Transport Geography, Elsevier, vol. 106(C).
    11. Talley, Wayne K. & Ng, ManWo, 2017. "Hinterland transport chains: Determinant effects on chain choice," International Journal of Production Economics, Elsevier, vol. 185(C), pages 175-179.
    12. Zhang, Ruiyou & Zhao, Haishu & Moon, Ilkyeong, 2018. "Range-based truck-state transition modeling method for foldable container drayage services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 225-239.
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    14. Wan, Shulin & Luan, Weixin & Ma, Yu & Haralambides, Hercules, 2020. "On determining the hinterlands of China's foreign trade container ports," Journal of Transport Geography, Elsevier, vol. 85(C).
    15. Tan, Zhijia & Meng, Qiang & Wang, Fan & Kuang, Hai-bo, 2018. "Strategic integration of the inland port and shipping service for the ocean carrier," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 90-109.
    16. Santos, Tiago A. & Martins, P. & Soares, C. Guedes, 2021. "The impact of container terminal relocation on hinterland geography," Journal of Transport Geography, Elsevier, vol. 92(C).
    17. Chen, Hong & Cullinane, Kevin & Liu, Nan, 2017. "Developing a model for measuring the resilience of a port-hinterland container transportation network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 282-301.
    18. 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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    20. Wan, Shulin & Luan, Weixin, 2022. "Hinterland evolution and port growth decomposition: The case of Shanghai," Journal of Transport Geography, Elsevier, vol. 100(C).

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