Mining maritime schedules for analysing global shipping networks
Author
Doshi, Deepen
Malhotra, Baljeet
Bressan, Stéphane
Lam, Jasmine Siu Lee
Date of Issue
2012School
School of Civil and Environmental Engineering
Abstract
Shipping plays a vital role as trade facilitator in providing cost-efficient transportation. The International Maritime Organisation (IMO) reports that over 90% of the world trade volume is carried by merchant ships. The analysis of shipping networks therefore can create invaluable insight into global trade. In this paper we study the appropriateness of various graph centrality measures to rate, compare and rank ports from various perspectives of global shipping networks. In particular, we illustrate the potential of such analysis on the example of shipping networks constructed from the schedules, readily available on the World Wide Web, of six shipping companies that transport 35-40% of the total volume traded (in TEUs) worldwide.
Type
Journal Article
Series/Journal Title
International journal of business intelligence and data mining.
Collections
http://dx.doi.org/10.1504/IJBIDM.2012.049554
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