Based on the smart card and GPS records of No. 976 buses from April 13 to April 19, 2015 in Shanghai, this study conducted analyses on travel time and locations. It found that workday and weekends have a great influence on the travel time and location rules. On workdays, the commuting demand was more average at each station, with obvious peak hours in the morning and evening. During non-working hours, residents traveled into areas with more leisure and entertainment places. Furthermore, through clustering for card users, four types of trip characteristics were defined: random travelers, leisure travelers, commuters, and night actives. Different types have their own features on travel time, frequency, and station preferences. Using these situations, the significance of improving the operation of urban public transport system was explored.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Travel Pattern Analysis Based on Bus GPS and Card Record


    Beteiligte:
    Lu, Huapu (Autor:in) / Chen, Mingyu (Autor:in)

    Kongress:

    19th COTA International Conference of Transportation Professionals ; 2019 ; Nanjing, China


    Erschienen in:

    CICTP 2019 ; 1248-1258


    Erscheinungsdatum :

    2019-07-02




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Inferring temporal motifs for travel pattern analysis using large scale smart card data

    Lei, Da / Chen, Xuewu / Cheng, Long et al. | Elsevier | 2020


    Travel behavior analysis using smart card data

    Ali, Atizaz / Kim, Jooyoung / Lee, Seungjae | Springer Verlag | 2015


    Travel behavior analysis using smart card data

    Ali, Atizaz / Kim, Jooyoung / Lee, Seungjae | Online Contents | 2016


    The Danish Travel Card Project

    Clemmensen, Niel | IuD Bahn | 2004