Most travel demand models assume that individuals’ daily travel patterns are stable or follow a fixed routine. This hypothesis is being questioned by more and more researchers. In this study, longitudinal mobile phone data were used to study the stability of individual daily travel patterns from three aspects, including activity space, activity points, and daily trip-chain patterns. The activity space was represented by the number of nonhome activity points, the radius of nonhome activity points, and the distance from home. The visitation pattern of activity points was analyzed by entropy and predictability measures. The stability of trip-chain patterns was described by the number of distinct trip chains, the typical trip chain, and the typical trip-chain ratio. Analysis of 21 days of mobile phone data from three communities in Shanghai, China, revealed that individuals’ daily travel patterns showed considerable variation. Although individuals’ visitation patterns to activity points were very regular, the day-to-day variations of individual trip-chain patterns were quite significant. On average, an individual exhibited about eight types of daily trip chains during the 21-day period. The daily travel patterns of residents in the outskirts were more stable than those of residents in the city center. Individuals’ travel patterns on weekdays were more complex than those on weekends. As individuals’ activity spaces increased, the stability of their travel patterns decreased.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Using Longitudinal Mobile Phone Data to Understand the Stability of Individual Travel Patterns


    Untertitel :

    Case Study of Three Communities in Shanghai, China


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:
    Duan, Zhengyu (Autor:in) / Wang, Chun (Autor:in) / Zhang, H. Michael (Autor:in) / Lei, Zengxiang (Autor:in) / Li, Haifeng (Autor:in) / Yang, Dongyuan (Autor:in)


    Erscheinungsdatum :

    01.01.2017




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Individual travel activity prediction method and system based on mobile phone signaling data

    YAO ZHENXING / LIU JIANPING / JIANG YANLIN et al. | Europäisches Patentamt | 2024

    Freier Zugriff


    Individual travel purpose identification method and system based on mobile phone sensor positioning data

    YAO ZHENXING / DONG MINGYU / BIAN WEI et al. | Europäisches Patentamt | 2025

    Freier Zugriff