Analysis on the changes of China's liner shipping network from the perspective of big data

Lianjie Jin; Zilin Chen; Jing Chen; Zhongli Yi

doi:10.1117/12.2619682

22 December 2021 Analysis on the changes of China's liner shipping network from the perspective of big data

Lianjie Jin, Zilin Chen, Jing Chen, Zhongli Yi

Proceedings Volume 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021); 1205856 (2021) https://doi.org/10.1117/12.2619682
Event: 5th International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 2021, Chongqing, China

Abstract

Container shipping networks play a vital role in global trade. Using AIS data, this paper analyzes the evolution and characteristics of China's foreign trade container route network in recent years. The study found that, from 2016 to 2019, the scope of China’s international liner shipping network was expanded. The number of nodes increased from 468 to 622, and the efficiency of the network has increased by 7.8%. In the meantime, the importance of ports in the network has changed, as Busan replaced Singapore as the highest connectivity node of China's container shipping network. Finally, this paper gives suggestions to improve the connectivity and hub degree of China's container route network.

Citation Download Citation

Lianjie Jin, Zilin Chen, Jing Chen, and Zhongli Yi "Analysis on the changes of China's liner shipping network from the perspective of big data", Proc. SPIE 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 1205856 (22 December 2021); https://doi.org/10.1117/12.2619682

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