Complex network approach to understand commercial vehicle movement

Show simple item record Joubert, Johan W. Axhausen, Kay W. 2012-10-12T10:41:34Z 2012-10-12T10:41:34Z 2013-05
dc.description.abstract We introduce complex network analysis and use a commercial vehicle’s observed trip as a proxy for a business relation between two facilities in its activity chain. We extract facility locations by applying density-based clustering to GPS data of commercial vehicle activities. The network among the facilities is then extracted by analysing the activity chains of more than 25 000 commercial vehicles. Centrality metrics proves useful and novel in identifying and locating key logistics players. Transport planners and decision makers can benefit from such an approach as it allows them to design more targeted initiatives and policy interventions. en_US
dc.description.sponsorship The first author is grateful to the South African National Research Foundation (NRF) for funding the research under Grant FA-2007051100019; and also to the University of Pretoria’s Research Development Programme. en_US
dc.description.uri en_US
dc.identifier.citation Joubert, JW & Axhausen, KW 2012, 'A complex network approach to understand commercial vehicle movement,' Transportation, vol. 40, no. 3, pp 729-750. en_US
dc.identifier.issn 0049-4488 (print)
dc.identifier.issn 1572-9435 (online)
dc.identifier.other 10.1007/s11116-012-9439-0
dc.language.iso en en_US
dc.publisher Springer en_US
dc.rights © Springer Science+Business Media B.V. 2012. The original publication is available at en_US
dc.subject Network analysis en_US
dc.subject Clustering en_US
dc.subject Transport planning en_US
dc.subject Freight en_US
dc.title Complex network approach to understand commercial vehicle movement en_US
dc.type Postprint Article en_US

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