Please use this identifier to cite or link to this item: https://doi.org/10.1098/rsif.2009.0495
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dc.titleThe complex network of global cargo ship movements
dc.contributor.authorKaluza, Pablo
dc.contributor.authorKoelzsch, Andrea
dc.contributor.authorGastner, Michael T
dc.contributor.authorBlasius, Bernd
dc.date.accessioned2020-06-03T03:53:53Z
dc.date.available2020-06-03T03:53:53Z
dc.date.issued2010-07-06
dc.identifier.citationKaluza, Pablo, Koelzsch, Andrea, Gastner, Michael T, Blasius, Bernd (2010-07-06). The complex network of global cargo ship movements. JOURNAL OF THE ROYAL SOCIETY INTERFACE 7 (48) : 1093-1103. ScholarBank@NUS Repository. https://doi.org/10.1098/rsif.2009.0495
dc.identifier.issn17425689
dc.identifier.issn17425662
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/169013
dc.description.abstractTransportation networks play a crucial role in human mobility, the exchange of goods and the spread of invasive species. With 90 per cent of world trade carried by sea, the global network of merchant ships provides one of the most important modes of transportation. Here, we use information about the itineraries of 16 363 cargo ships during the year 2007 to construct a network of links between ports. We show that the network has several features that set it apart from other transportation networks. In particular, most ships can be classified into three categories: bulk dry carriers, container ships and oil tankers. These three categories do not only differ in the ships' physical characteristics, but also in their mobility patterns and networks. Container ships follow regularly repeating paths whereas bulk dry carriers and oil tankers move less predictably between ports. The network of all ship movements possesses a heavy-tailed distribution for the connectivity of ports and for the loads transported on the links with systematic differences between ship types. The data analysed in this paper improve current assumptions based on gravity models of ship movements, an important step towards understanding patterns of global trade and bioinvasion. © 2010 The Royal Society.
dc.language.isoen
dc.publisherROYAL SOC
dc.sourceElements
dc.subjectScience & Technology
dc.subjectMultidisciplinary Sciences
dc.subjectScience & Technology - Other Topics
dc.subjectcomplex network
dc.subjectcargo ships
dc.subjectbioinvasion
dc.subjecttransportation
dc.subjectTRANSPORTATION NETWORK
dc.subjectINVASIONS
dc.subjectDISTRIBUTIONS
dc.subjectCENTRALITY
dc.subjectEPIDEMIC
dc.subjectSPREAD
dc.typeArticle
dc.date.updated2020-05-27T08:15:20Z
dc.contributor.departmentYALE-NUS COLLEGE
dc.description.doi10.1098/rsif.2009.0495
dc.description.sourcetitleJOURNAL OF THE ROYAL SOCIETY INTERFACE
dc.description.volume7
dc.description.issue48
dc.description.page1093-1103
dc.published.statePublished
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