IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-04665720.html
   My bibliography  Save this paper

Does the Chinese coastal ports disruption affect the reliability of the maritime network? Evidence from port importance and typhoon risk

Author

Listed:
  • Naixia Mou

    (Shandong University of Science and Technology)

  • Huanqing Xu

    (Shandong University of Science and Technology)

  • Yong Liu

    (Shandong University of Science and Technology)

  • Guoqing Li

    (AIRICAS - Aerospace Information Research Institute - CAS - Chinese Academy of Sciences [Beijing])

  • Lingxian Zhang

    (Shandong University of Science and Technology)

  • César Ducruet

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • Xianghao Zhang

    (Shandong University of Science and Technology)

  • Yanci Wang

    (Shandong University of Science and Technology)

  • Tengfei Yang

    (AIRICAS - Aerospace Information Research Institute - CAS - Chinese Academy of Sciences [Beijing])

Abstract

Traditional studies typically employed random and deliberate attack methods to explore port failure, overlooking real-world factors. In this research, we focus on exploring the reliability of the Maritime Silk Road (MSR) container shipping networks after the failure of Chinese coastal ports due to the impact of typhoons. This article analyzes AIS trajectory data and typhoon occurrence data through entropy weight method and grey correlation analysis, to construct an evaluation model for the failure of Chinese critical ports. Then, we will look at the effects of deliberately removing Chinese critical ports from the MSR container shipping system. The main conclusions drawn are as follows: (1) Except for some of the largest ports (i.e., Ningbo-Zhoushan, Shanghai, and Kaohsiung), the importance of Chinese coastal ports varies slightly in the MSR container maritime network, while it varies widely in their exposure and resistance to typhoons. (2) Ports of Ningbo Zhoushan, Shanghai, Hong Kong, Shekou, Kaohsiung, and Yantian rank high in the comprehensive evaluation results. They have a higher probability of failure when affected by typhoon risks. (3) After the failure of Chinese crucial ports, the reliability of the MSR container maritime network successively declined, recovered, and stabilized. This study can offer a valuable reference for relevant actors involved in safeguarding crucial ports, finding alternative ports, optimizing shipping routes, and improving the reliability of maritime networks under typhoons and other major natural disasters.

Suggested Citation

  • Naixia Mou & Huanqing Xu & Yong Liu & Guoqing Li & Lingxian Zhang & César Ducruet & Xianghao Zhang & Yanci Wang & Tengfei Yang, 2024. "Does the Chinese coastal ports disruption affect the reliability of the maritime network? Evidence from port importance and typhoon risk," Post-Print halshs-04665720, HAL.
  • Handle: RePEc:hal:journl:halshs-04665720
    DOI: 10.1016/j.jag.2024.103846
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-04665720v1
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-04665720v1/document
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jag.2024.103846?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Bešinović, Nikola & Ferrari Nassar, Raphael & Szymula, Christopher, 2022. "Resilience assessment of railway networks: Combining infrastructure restoration and transport management," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    2. Peng, Peng & Yang, Yu & Lu, Feng & Cheng, Shifen & Mou, Naixia & Yang, Ren, 2018. "Modelling the competitiveness of the ports along the Maritime Silk Road with big data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 852-867.
    3. Majid Forghani-elahabad & Nelson Kagan, 2019. "Reliability evaluation of a stochastic-flow network in terms of minimal paths with budget constraint," IISE Transactions, Taylor & Francis Journals, vol. 51(5), pages 547-558, May.
    4. Yeh, Cheng-Ta & Lin, Yi-Kuei & Yeng, Louis Cheng-Lu & Huang, Pei-Tzu, 2021. "Reliability evaluation of a multistate railway transportation network from the perspective of a travel agent," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    5. Niu, Yi-Feng & Gao, Zi-You & Lam, William H.K., 2017. "Evaluating the reliability of a stochastic distribution network in terms of minimal cuts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 75-97.
    6. Naixia Mou & Chunying Wang & Tengfei Yang & Lingxian Zhang, 2020. "Evaluation of Development Potential of Ports in the Yangtze River Delta Using FAHP-Entropy Model," Sustainability, MDPI, vol. 12(2), pages 1-24, January.
    7. Yuhong Wang & Kevin Cullinane, 2008. "Measuring Container Port Accessibility: An Application of the Principal Eigenvector Method (PEM)," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 10(1-2), pages 75-89, March.
    8. Ilalokhoin, Ohis & Pant, Raghav & Hall, Jim W., 2023. "A model and methodology for resilience assessment of interdependent rail networks – Case study of Great Britain's rail network," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    9. Cheung, Kam-Fung & Bell, Michael G.H. & Pan, Jing-Jing & Perera, Supun, 2020. "An eigenvector centrality analysis of world container shipping network connectivity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    10. Yao He & Yongchun Yang & Meimei Wang & Xudong Zhang, 2022. "Resilience Analysis of Container Port Shipping Network Structure: The Case of China," Sustainability, MDPI, vol. 14(15), pages 1-17, August.
    11. Cai, Wenxue & Liang, Fenfen & Wan, Yanchun & Zhong, Huiling & Gu, Yimiao, 2021. "An innovative approach for constructing a shipping index based on dynamic weighted complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    12. Mahendra Piraveenan & Mikhail Prokopenko & Liaquat Hossain, 2013. "Percolation Centrality: Quantifying Graph-Theoretic Impact of Nodes during Percolation in Networks," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-14, January.
    13. Asadabadi, Ali & Miller-Hooks, Elise, 2020. "Maritime port network resiliency and reliability through co-opetition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).
    14. César Ducruet, 2016. "The polarization of global container flows by interoceanic canals: geographic coverage and network vulnerability," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(2), pages 242-260, February.
    15. Baoyin Liu & Yim Ling Siu & Gordon Mitchell & Wei Xu, 2016. "The danger of mapping risk from multiple natural hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 139-153, May.
    16. Low, Joyce M.W. & Lam, Shao Wei & Tang, Loon Ching, 2009. "Assessment of hub status among Asian ports from a network perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(6), pages 593-606, July.
    17. Tocchi, Daniela & Sys, Christa & Papola, Andrea & Tinessa, Fiore & Simonelli, Fulvio & Marzano, Vittorio, 2022. "Hypergraph-based centrality metrics for maritime container service networks: A worldwide application," Journal of Transport Geography, Elsevier, vol. 98(C).
    18. Mou, Naixia & Wang, Chunying & Yang, Tengfei & Ren, Haonan & Zhang, Lingxian & Xu, Huanqing & Liu, Wenbao, 2022. "Spatiotemporal patterns of maritime trade between China and Maritime Silk Road: Evidence from a quantitative study using social network analysis," Journal of Transport Geography, Elsevier, vol. 102(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. César Ducruet, 2023. "Shipping network analysis: state-of-the-art and application to the global financial crisis," Post-Print halshs-04588340, HAL.
    2. Deshmukh, Ajay & Song, Dong-Wook, 2024. "Probing into hinterland connectivity with a web of transport modes and logistics nodes: A case of Indian container ports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 189(C).
    3. Ducruet, César, 2020. "The geography of maritime networks: A critical review," Journal of Transport Geography, Elsevier, vol. 88(C).
    4. Tocchi, Daniela & Sys, Christa & Papola, Andrea & Tinessa, Fiore & Simonelli, Fulvio & Marzano, Vittorio, 2022. "Hypergraph-based centrality metrics for maritime container service networks: A worldwide application," Journal of Transport Geography, Elsevier, vol. 98(C).
    5. Wu, Di & Yu, Changqing & Zhao, Yannan & Guo, Jialun, 2024. "Changes in vulnerability of global container shipping networks before and after the COVID-19 pandemic," Journal of Transport Geography, Elsevier, vol. 114(C).
    6. Sugimura, Yoshihisa & Akakura, Yasuhiro & Yotsushima, Tatsuki & Kawasaki, Tomoya, 2023. "Evaluation of Japanese port policies through network analysis," Transport Policy, Elsevier, vol. 135(C), pages 59-70.
    7. César Ducruet, 2020. "The geography of maritime networks: A critical review," Post-Print halshs-02922543, HAL.
    8. Niu, Yi-Feng & Zhao, Xia & Xu, Xiu-Zhen & Zhang, Shi-Yun, 2023. "Reliability assessment of a stochastic-flow distribution network with carbon emission constraint," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    9. Monfared, M.A.S. & Rezazadeh, Masoumeh & Alipour, Zohreh, 2022. "Road networks reliability estimations and optimizations: A Bi-directional bottom-up, top-down approach," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    10. Marc-Antoine Faure & Bárbara Polo Martin & Fabio Cremaschini & César Ducruet, 2024. "Shipping Trade and Geopolitical Turmoils: The Case of the Ukrainian Maritime Network," EconomiX Working Papers 2024-24, University of Paris Nanterre, EconomiX.
    11. Nguyen Tran & Hans-Dietrich Haasis, 2014. "Empirical analysis of the container liner shipping network on the East-West corridor (1995–2011)," Netnomics, Springer, vol. 15(3), pages 121-153, November.
    12. Hou, Weilu & Shi, Qin & Guo, Liquan, 2022. "Impacts of COVID-19 pandemic on foreign trade intermodal transport accessibility: Evidence from the Yangtze River Delta region of mainland China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 419-438.
    13. Kozyra, Paweł Marcin, 2023. "The usefulness of (d,b)-MCs and (d,b)-MPs in network reliability evaluation under delivery or maintenance cost constraints," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    14. Bai, Xiwen & Ma, Zhongjun & Zhou, Yaoming, 2023. "Data-driven static and dynamic resilience assessment of the global liner shipping network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    15. Liu, Qing & Yang, Yang & Ke, Luqi & Ng, Adolf K.Y., 2022. "Structures of port connectivity, competition, and shipping networks in Europe," Journal of Transport Geography, Elsevier, vol. 102(C).
    16. Vikas Kumar Mishra & Bapi Dutta & Mark Goh & José Rui Figueira & Salvatore Greco, 2021. "A robust ranking of maritime connectivity: revisiting UNCTAD’s liner shipping connectivity index (LSCI)," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(3), pages 424-443, September.
    17. Forghani-elahabad, Majid & Yeh, Wei-Chang, 2022. "An improved algorithm for reliability evaluation of flow networks," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    18. Cui, Hongjun & Wang, Fei & Ma, Xinwei & Zhu, Minqing, 2022. "A novel fixed-node unconnected subgraph method for calculating the reliability of binary-state networks," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    19. Yeh, Wei-Chang, 2020. "A new method for verifying d-MC candidates," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    20. Yi-Feng Niu & Can He & De-Qiang Fu, 2022. "Reliability assessment of a multi-state distribution network under cost and spoilage considerations," Annals of Operations Research, Springer, vol. 309(1), pages 189-208, February.

    More about this item

    Keywords

    Reliability; Container shipping; Typhoon risk assessment; Maritime silk road; China; Ports;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:halshs-04665720. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.