Metro systems have become the most preferred public transit services in many cities. It is important to understand individual passengers' spatio-temporal travel patterns inside metro. More specifically, for a specific passenger: what is the temporal access pattern? what is the spatio access pattern? is there any relationship between the temporal and spatio patterns? is this passenger's patterns normal or special? Answer all these questions can help us understanding the major reasons of why this passenger takes metro. In this paper, we analyze and understand the spatio-temporal travel patterns of individual passengers in Shenzhen, China. A systematic approach is proposed to extract temporal, spatial and anomaly features related to metro passengers. We analyze one month smart card data collected from Shenzhen. Combined with bus transaction data, we give an in-depth analysis and explanations for different groups.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Understanding temporal and spatial travel patterns of individual passengers by mining smart card data


    Beteiligte:
    Juanjuan Zhao (Autor:in) / Chen Tian (Autor:in) / Fan Zhang (Autor:in) / Chengzhong Xu (Autor:in) / Shengzhong Feng (Autor:in)


    Erscheinungsdatum :

    01.10.2014


    Format / Umfang :

    300528 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch