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Impact of COVID-19 on China's international liner shipping network based on AIS data

Author

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  • Jin, Lianjie
  • Chen, Jing
  • Chen, Zilin
  • Sun, Xiangjun
  • Yu, Bin

Abstract

As an essential sub-network of the global liner shipping network, China's international liner shipping network was the earliest to be affected by the COVID-19 and also had a significant impact on the global shipping network. This paper uses Automatic Identification System (AIS) data to analyze the impact of COVID-19 on the typical route networks and major ports of China's international liner shipping. On this basis, the changes in network efficiency and connectivity under the failure of important nodes is simulated. The research finds that, during the epidemic period, the scale of China's international liner shipping network increased, with more routes gathering at fewer hub ports. Still, the overall connectivity and connection strength declined. Meanwhile, the epidemic caused fluctuations in container volume and the mismatch of ship cargo capacity supply, in which China-U.S. routes was the most prominent. From the view of node, the competitiveness of China's mainland ports was significantly promoted during the epidemic. In addition, ports such as Busan, Singapore, and Hong Kong substantially impacted China's international liner shipping network. The current study might be helpful for the industry management departments and related companies to prepare contingency plans, thus enhancing the resilience of the logistics chain and ensuring the stability of the global supply chain.

Suggested Citation

  • Jin, Lianjie & Chen, Jing & Chen, Zilin & Sun, Xiangjun & Yu, Bin, 2022. "Impact of COVID-19 on China's international liner shipping network based on AIS data," Transport Policy, Elsevier, vol. 121(C), pages 90-99.
    • Handle: RePEc:eee:trapol:v:121:y:2022:i:c:p:90-99
    DOI: 10.1016/j.tranpol.2022.04.006
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    References listed on IDEAS

    as
    1. Peng, Peng & Poon, Jessie P.H. & Yang, Yu & Lu, Feng & Cheng, Shifen, 2019. "Global oil traffic network and diffusion of influence among ports using real time data," Energy, Elsevier, vol. 172(C), pages 333-342.
    2. Viljoen, Nadia M. & Joubert, Johan W., 2016. "The vulnerability of the global container shipping network to targeted link disruption," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 396-409.
    3. Pais Montes, Carlos & Freire Seoane, Maria Jesus & González Laxe, Fernando, 2012. "General cargo and containership emergent routes: A complex networks description," Transport Policy, Elsevier, vol. 24(C), pages 126-140.
    4. César Ducruet & Faraz Zaidi, 2012. "Maritime constellations : A complex network approach to shipping and ports," Post-Print hal-03246963, HAL.
    5. Xu, Mengqiao & Li, Zhenfu & Shi, Yanlei & Zhang, Xiaoling & Jiang, Shufei, 2015. "Evolution of regional inequality in the global shipping network," Journal of Transport Geography, Elsevier, vol. 44(C), pages 1-12.
    6. César Ducruet & Faraz Zaidi, 2012. "Maritime constellations: a complex network approach to shipping and ports," Maritime Policy & Management, Taylor & Francis Journals, vol. 39(2), pages 151-168, March.
    7. Wilmsmeier, Gordon & Hoffmann, Jan & Sanchez, Ricardo J., 2006. "The Impact of Port Characteristics on International Maritime Transport Costs," Research in Transportation Economics, Elsevier, vol. 16(1), pages 117-140, January.
    8. Hu, Yihong & Zhu, Daoli, 2009. "Empirical analysis of the worldwide maritime transportation network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(10), pages 2061-2071.
    9. Berle, Øyvind & Asbjørnslett, Bjørn Egil & Rice, James B., 2011. "Formal Vulnerability Assessment of a maritime transportation system," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 696-705.
    10. César Ducruet & Theo E. Notteboom, 2012. "The worldwide maritime network of container shipping: Spatial structure and regional dynamics," Post-Print halshs-00538051, HAL.
    11. Mengqiao Xu & Qian Pan & Alessandro Muscoloni & Haoxiang Xia & Carlo Vittorio Cannistraci, 2020. "Modular gateway-ness connectivity and structural core organization in maritime network science," Nature Communications, Nature, vol. 11(1), pages 1-15, December.
    12. César Ducruet & Theo Notteboom, 2012. "The worldwide maritime network of container shipping : Spatial structure and regional dynamics," Post-Print hal-03246962, HAL.
    13. Zhang, Liye & Meng, Qiang & Fang Fwa, Tien, 2019. "Big AIS data based spatial-temporal analyses of ship traffic in Singapore port waters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 287-304.
    14. Chen, Chao & Feng, Tao & Gu, Xiaoning & Yao, Baozhen, 2022. "Investigating the effectiveness of COVID-19 pandemic countermeasures on the use of public transport: A case study of The Netherlands," Transport Policy, Elsevier, vol. 117(C), pages 98-107.
    15. 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).
    16. Wang, Grace W.Y. & Zeng, Qingcheng & Li, Kevin & Yang, Jinglei, 2016. "Port connectivity in a logistic network: The case of Bohai Bay, China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 341-354.
    17. Wang, Yuhong & Cullinane, Kevin, 2016. "Determinants of port centrality in maritime container transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 326-340.
    18. César Ducruet, 2015. "Maritime Networks. Spatial Structures and Time Dynamics," Post-Print hal-03246485, HAL.
    19. 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.
    20. César Ducruet & Faraz Zaidi, 2012. "Maritime constellations: A complex network approach to shipping and ports," Post-Print halshs-00551207, HAL.
    21. Jiang, Jianlin & Lee, Loo Hay & Chew, Ek Peng & Gan, Chee Chun, 2015. "Port connectivity study: An analysis framework from a global container liner shipping network perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 47-64.
    Full references (including those not matched with items on IDEAS)

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