A complex network approach to understand commercial vehicle movement

Johan Joubert () and Kay Axhausen ()

Transportation, 2013, vol. 40, issue 3, 729-750

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 prove 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. Copyright Springer Science+Business Media, LLC. 2013

Keywords: Network analysis; Clustering; Transport planning; Freight (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s11116-012-9439-0

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