IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v121y2022icp90-99.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X22000956
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tranpol.2022.04.006?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. César Ducruet & Theo Notteboom, 2012. "The worldwide maritime network of container shipping : Spatial structure and regional dynamics," Post-Print hal-03246962, HAL.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. César Ducruet & Faraz Zaidi, 2012. "Maritime constellations : A complex network approach to shipping and ports," Post-Print hal-03246963, HAL.
    12. 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.
    13. 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).
    14. 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.
    15. César Ducruet & Faraz Zaidi, 2012. "Maritime constellations: A complex network approach to shipping and ports," Post-Print halshs-00551207, HAL.
    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. 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.
    20. 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.
    21. César Ducruet & Theo E. Notteboom, 2012. "The worldwide maritime network of container shipping: Spatial structure and regional dynamics," Post-Print halshs-00538051, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peng, Wenhao & Bai, Xiwen, 2022. "Prospects for improving shipping companies’ profit margins by quantifying operational strategies and market focus approach through AIS data," Transport Policy, Elsevier, vol. 128(C), pages 138-152.
    2. Olabisi Michael Olapoju, 2023. "Appraising the impact of COVID-19 on trading volume of selected vessel types in sub-Saharan Africa," Journal of Shipping and Trade, Springer, vol. 8(1), pages 1-12, December.
    3. Ahmed Karam & Abdelrahman E. E. Eltoukhy & Ibrahim Abdelfadeel Shaban & El-Awady Attia, 2022. "A Review of COVID-19-Related Literature on Freight Transport: Impacts, Mitigation Strategies, Recovery Measures, and Future Research Directions," IJERPH, MDPI, vol. 19(19), pages 1-27, September.
    4. Zhiyuan Yu & Kun Zhang, 2022. "The Determinants of Purchase Intention on Agricultural Products via Public-Interest Live Streaming for Farmers during COVID-19 Pandemic," Sustainability, MDPI, vol. 14(21), pages 1-22, October.
    5. Yanan Yu & Marcin Lorenc & Yude Shao, 2022. "Legal Challenges in Protecting the Rights of Cruise Ship Crew at the Post COVID-19 Pandemic Era," Sustainability, MDPI, vol. 14(16), pages 1-14, August.

    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, 2020. "The geography of maritime networks: A critical review," Post-Print halshs-02922543, HAL.
    2. 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).
    3. 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.
    4. 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).
    5. 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).
    6. Deng, Ping & Song, Lian & Xiao, Ruiqi & Huang, Chengfeng, 2022. "Evaluation of logistics and port connectivity in the Yangtze River Economic Belt of China," Transport Policy, Elsevier, vol. 126(C), pages 249-267.
    7. Calatayud, Agustina & Mangan, John & Palacin, Roberto, 2017. "Connectivity to international markets: A multi-layered network approach," Journal of Transport Geography, Elsevier, vol. 61(C), pages 61-71.
    8. César Ducruet & Hidekazu Itoh & Justin Berli, 2020. "Urban gravity in the global container shipping network," Post-Print halshs-02588449, HAL.
    9. Ducruet, César, 2020. "The geography of maritime networks: A critical review," Journal of Transport Geography, Elsevier, vol. 88(C).
    10. Ducruet, César & Itoh, Hidekazu & Berli, Justin, 2020. "Urban gravity in the global container shipping network," Journal of Transport Geography, Elsevier, vol. 85(C).
    11. Tovar, Beatriz & Hernández, Rubén & Rodríguez-Déniz, Héctor, 2015. "Container port competitiveness and connectivity: The Canary Islands main ports case," Transport Policy, Elsevier, vol. 38(C), pages 40-51.
    12. 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.
    13. 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.
    14. 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).
    15. 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.
    16. Hongchu Yu & Zhixiang Fang & Guojun Peng & Mingxiang Feng, 2017. "Revealing the Linkage Network Dynamic Structures of Chinese Maritime Ports through Automatic Information System Data," Sustainability, MDPI, vol. 9(10), pages 1-17, October.
    17. Tagawa, Hoshi & Kawasaki, Tomoya & Hanaoka, Shinya, 2022. "Evaluation of international maritime network configuration and impact of port cooperation on port hierarchy," Transport Policy, Elsevier, vol. 123(C), pages 14-24.
    18. 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.
    19. 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.
    20. Ducruet, César, 2017. "Multilayer dynamics of complex spatial networks: The case of global maritime flows (1977–2008)," Journal of Transport Geography, Elsevier, vol. 60(C), pages 47-58.

    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:eee:trapol:v:121:y:2022:i:c:p:90-99. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    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.