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.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A complex network approach to understand commercial vehicle movement


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2012




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    BKL:    74.75$jVerkehrsplanung$jVerkehrspolitik / 55.80$jVerkehrswesen$jTransportwesen: Allgemeines / 55.80 Verkehrswesen, Transportwesen: Allgemeines / 74.75 Verkehrsplanung, Verkehrspolitik



    A complex network approach to understand commercial vehicle movement

    Joubert, Johan W. / Axhausen, Kay W. | Online Contents | 2012


    Urban Commercial Vehicle Movement Model for Calgary

    National Research Council (U.S.) | British Library Conference Proceedings | 2005


    Urban Commercial Vehicle Movement Model for Calgary, Alberta, Canada

    Stefan, K. J. / McMillan, J. D. P. / Hunt, J. D. | Transportation Research Record | 2005


    Urban Commercial Vehicle Movement Model for Calgary, Alberta, Canada

    Stefan, K. / McMillan, J. / Hunt, J. | Transportation Research Record | 2005