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Vulnerability analysis of global container shipping liner network based on main channel disruption

Author

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  • Di Wu
  • Nuo Wang
  • Anqi Yu
  • Nuan Wu

Abstract

The Malacca Strait, the Suez Canal and the Panama Canal play an important role in the global container shipping. To study the impact of main channel interruption on the container shipping, we analysed statistical data on all routes operated by the top 100 global container liner companies and constructed a network model. We selected four topological metrics to measure the network’s connectivity and used the network weekly total shipping capacity and average shortest shipping time to measure the network’s transportation capacity and transportation time. The interruption of the main channel is simulated, and the changes in the metrics are analysed. The results indicated that the network’s vulnerability is sensitive to main channel interruption. If the Malacca Strait is interrupted, the network’s prosperity degree fall by almost half and the network’s transportation time increase by more than a quarter if the Suez Canal is interrupted. In addition, East Asian and European container liner shipping have more than 50% dependence on the Malacca Strait and the Suez Canal. Moreover, the container transport time between ports in East Asia, Europe, and North America and the rest of the world increases by an average of 4–9 days in the main channel interruption.

Suggested Citation

  • Di Wu & Nuo Wang & Anqi Yu & Nuan Wu, 2019. "Vulnerability analysis of global container shipping liner network based on main channel disruption," Maritime Policy & Management, Taylor & Francis Journals, vol. 46(4), pages 394-409, May.
    • Handle: RePEc:taf:marpmg:v:46:y:2019:i:4:p:394-409
    DOI: 10.1080/03088839.2019.1571643
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    Cited by:

    1. Dirzka, Christopher & Acciaro, Michele, 2022. "Global shipping network dynamics during the COVID-19 pandemic's initial phases," Journal of Transport Geography, Elsevier, vol. 99(C).
    2. Cao, Xinhu & Lam, Jasmine Siu Lee, 2019. "A fast reaction-based port vulnerability assessment: Case of Tianjin Port explosion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 11-33.
    3. Zhongyun Yue & John Mangan, 2024. "A framework for understanding reliability in container shipping networks," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(3), pages 523-544, September.
    4. Asghari, Mohammad & Jaber, Mohamad Y. & Mirzapour Al-e-hashem, S.M.J., 2023. "Coordinating vessel recovery actions: Analysis of disruption management in a liner shipping service," European Journal of Operational Research, Elsevier, vol. 307(2), pages 627-644.
    5. Zhang, Qiang & Pu, Shunhao & Luo, Lihua & Liu, Zhichao & Xu, Jie, 2022. "Revisiting important ports in container shipping networks: A structural hole-based approach," Transport Policy, Elsevier, vol. 126(C), pages 239-248.
    6. Pisit Jarumaneeroj & Jorge Barnett Lawton & Morten Svindland, 2024. "An evolution of the Global Container Shipping Network: port connectivity and trading community structure (2011–2017)," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(2), pages 283-306, June.
    7. Pisit Jarumaneeroj & Amar Ramudhin & Jorge Barnett Lawton, 2023. "A connectivity-based approach to evaluating port importance in the global container shipping network," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(3), pages 602-622, September.
    8. César Ducruet, 2020. "The geography of maritime networks: A critical review," Post-Print halshs-02922543, HAL.
    9. Ge, Jiawei & fu, Qiang & Zhang, Qiang & Wan, Zheng, 2022. "Regional operating patterns of world container shipping network: A perspective from motif identification," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    10. Song, Yunting & Wang, Nuo & Yu, Anqi, 2019. "Temporal and spatial evolution of global iron ore supply-demand and trade structure," Resources Policy, Elsevier, vol. 64(C).
    11. 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).
    12. Wang, Yixuan & Wang, Nuo, 2019. "The role of the port industry in China's national economy: An input–output analysis," Transport Policy, Elsevier, vol. 78(C), pages 1-7.
    13. 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.
    14. Nicanor García Álvarez & Belarmino Adenso-Díaz & Laura Calzada-Infante, 2021. "Maritime Traffic as a Complex Network: a Systematic Review," Networks and Spatial Economics, Springer, vol. 21(2), pages 387-417, June.
    15. Liupeng, Jiang & Guangsheng, Wang & Xuejun, Feng & Tong, Yu & Zhiyi, Lei, 2024. "Study on cascading failure vulnerability of the 21st-century Maritime Silk Road container shipping network," Journal of Transport Geography, Elsevier, vol. 117(C).
    16. Ducruet, César, 2020. "The geography of maritime networks: A critical review," Journal of Transport Geography, Elsevier, vol. 88(C).
    17. Yunting Song & Nuo Wang, 2021. "On probability distributions of the time deviation law of container liner ships under interference uncertainty," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 354-367, January.

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