Mining maritime schedules for analysing global shipping networks

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 glob...

Full description

Saved in:
Bibliographic Details
Main Authors: Doshi, Deepen, Malhotra, Baljeet, Bressan, Stéphane, Lam, Jasmine Siu Lee
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/102139
http://hdl.handle.net/10220/16941
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-102139
record_format dspace
spelling sg-ntu-dr.10356-1021392020-03-07T11:43:33Z Mining maritime schedules for analysing global shipping networks Doshi, Deepen Malhotra, Baljeet Bressan, Stéphane Lam, Jasmine Siu Lee School of Civil and Environmental Engineering 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. 2013-10-28T02:29:17Z 2019-12-06T20:50:13Z 2013-10-28T02:29:17Z 2019-12-06T20:50:13Z 2012 2012 Journal Article Doshi, D., Malhotra, B., Bressan, S.,& Lam, J. S. L. (2012). Mining maritime schedules for analysing global shipping networks. International Journal of Business Intelligence and Data Mining, 7(3), 186-202. https://hdl.handle.net/10356/102139 http://hdl.handle.net/10220/16941 10.1504/IJBIDM.2012.049554 en International journal of business intelligence and data mining.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
description 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.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Doshi, Deepen
Malhotra, Baljeet
Bressan, Stéphane
Lam, Jasmine Siu Lee
format Article
author Doshi, Deepen
Malhotra, Baljeet
Bressan, Stéphane
Lam, Jasmine Siu Lee
spellingShingle Doshi, Deepen
Malhotra, Baljeet
Bressan, Stéphane
Lam, Jasmine Siu Lee
Mining maritime schedules for analysing global shipping networks
author_sort Doshi, Deepen
title Mining maritime schedules for analysing global shipping networks
title_short Mining maritime schedules for analysing global shipping networks
title_full Mining maritime schedules for analysing global shipping networks
title_fullStr Mining maritime schedules for analysing global shipping networks
title_full_unstemmed Mining maritime schedules for analysing global shipping networks
title_sort mining maritime schedules for analysing global shipping networks
publishDate 2013
url https://hdl.handle.net/10356/102139
http://hdl.handle.net/10220/16941
_version_ 1681045237244362752