An eigenvector centrality analysis of world container shipping network connectivity

Kam-Fung Cheung, Michael G.H. Bell, Jing-Jing Pan and Supun Perera

Transportation Research Part E: Logistics and Transportation Review, 2020, vol. 140, issue C

Abstract: Container shipping accounts for most of the world merchandise trade. Better maritime connectivity leads to lower freight rates and greater economic growth. This paper presents a novel max–min integer optimization model to facilitate better shipping network connectivity by analysing the largest eigenvalue and its corresponding eigenvector of the (asymmetric) frequency weighted adjacency matrix. An algorithm is presented that can quickly identify which link not currently in the container shipping network would best improve its connectivity. A demand matrix is not required by this method of analysis and network symmetry is not assumed. The method could strengthen direct connection between port pairs.

Keywords: Shipping network connectivity; Eigenvector centrality; Largest eigenvalue; Asymmetric adjacency matrix (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (18)

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DOI: 10.1016/j.tre.2020.101991

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