An eigenvector centrality analysis of world container shipping network connectivity
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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
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Supplemental Notes:
- © 2020 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Cheung, Kam-Fung
- Bell, Michael G H
- Pan, Jing-Jing
- Perera, Supun
- Publication Date: 2020-8
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
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Serial:
- Transportation Research Part E: Logistics and Transportation Review
- Volume: 140
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1366-5545
- Serial URL: http://www.sciencedirect.com/science/journal/13665545
Subject/Index Terms
- TRT Terms: Algorithms; Connectivity; Containerships; Eigenvectors; Links (Networks); Network analysis (Planning); Optimization; Shipping
- Subject Areas: Freight Transportation; Marine Transportation; Planning and Forecasting;
Filing Info
- Accession Number: 01746071
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 23 2020 4:10PM