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Locating dry ports on a network: a case study on Tianjin Port

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  • Chuanxu Wang
  • Qian Chen
  • Rongbing Huang

Abstract

A mathematical model for optimizing the location of dry ports is developed. The objective is to minimize the sum of the transportation costs and the fixed facility opening/closing costs. Unlike previous research on this subject, the possibility of closing existing dry ports is investigated. The dry port location problem is formulated as an integer programming and it is shown that the CFLP is a special case of our problem. The proposed model is then applied to the port of Tianjin in China and the sensitivity analysis is performed to demonstrate the robustness of the model. Our model suggests that while Tianjin Port should open some new dry ports, it might be better off closing those existing dry ports without enough throughputs. Although all parameters estimated should be uncertain in reality, sensitivity analysis shows that the results returned by the model are quite stable.

Suggested Citation

  • Chuanxu Wang & Qian Chen & Rongbing Huang, 2018. "Locating dry ports on a network: a case study on Tianjin Port," Maritime Policy & Management, Taylor & Francis Journals, vol. 45(1), pages 71-88, January.
    • Handle: RePEc:taf:marpmg:v:45:y:2018:i:1:p:71-88
    DOI: 10.1080/03088839.2017.1330558
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    Citations

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    Cited by:

    1. Alena Khaslavskaya & Violeta Roso, 2020. "Dry ports: research outcomes, trends, and future implications," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(2), pages 265-292, June.
    2. Mohammed Mojahid Hossain Chowdhury & Ziaul Haque Munim, 2023. "Dry port location selection using a fuzzy AHP-BWM-PROMETHEE approach," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(2), pages 301-329, June.
    3. Sarmadi, Kamran & Amiri-Aref, Mehdi & Dong, Jing-Xin & Hicks, Christian, 2020. "Integrated strategic and operational planning of dry port container networks in a stochastic environment," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 132-164.
    4. Godson Okpara & Hope Okpara, Esq, 2022. "Influence of Government Policy on Law for Sustainability of Dry Ports in Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(7), pages 465-478, July.
    5. Van Nguyen, Truong & Zhang, Jie & Zhou, Li & Meng, Meng & He, Yong, 2020. "A data-driven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    6. Snežana Tadić & Mladen Krstić & Violeta Roso & Nikolina Brnjac, 2020. "Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model," Sustainability, MDPI, vol. 12(17), pages 1-22, August.
    7. Chakat Chueadee & Preecha Kriengkorakot & Nuchsara Kriengkorakot, 2022. "MDEALNS for Solving the Tapioca Starch Logistics Network Problem for the Land Port of Nakhon Ratchasima Province, Thailand," Logistics, MDPI, vol. 6(4), pages 1-24, October.
    8. Jiang, Xiaodan & Fan, Houming & Luo, Meifeng & Xu, Zhenlin, 2020. "Strategic port competition in multimodal network development considering shippers’ choice," Transport Policy, Elsevier, vol. 90(C), pages 68-89.
    9. Dadashpoor, Hashem & Arasteh, Mojtaba, 2020. "Core-port connectivity: Towards shaping a national hinterland in a West Asia country," Transport Policy, Elsevier, vol. 88(C), pages 57-68.
    10. Bogusz Wiśnicki & Dorota Dybkowska-Stefek & Justyna Relisko-Rybak & Łukasz Kolanda, 2021. "Methodology for Determining the Location of River Ports on a Modernized Waterway Based on Non-Cost Criteria: A Case Study of the Odra River Waterway," Sustainability, MDPI, vol. 13(6), pages 1-18, March.

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