This paper explores the use of passively collected data on the location of mobile phones in the development of external travel models, which capture trips to, from, and through an area. The data were collected 24 h a day for 1 month during May 2013 for the North Carolina Department of Transportation. The data cover the French Broad River Metropolitan Planning Organization and surrounding counties in North Carolina. This paper details the format of the data collected and the required processing and cleaning to support the development of the external trip models. The process for developing a through-trip table and estimating external trip interchanges in the region is presented, along with validation techniques for both. The results of this effort show that passively collected mobile phone data can be a good source of local information for developing external trip models.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Using Mobile Phone Location Data to Develop External Trip Models


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:
    Huntsinger, Leta F. (Autor:in) / Ward, Kyle (Autor:in)


    Erscheinungsdatum :

    01.01.2015




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Trip Distribution Modeling Using Mobile Phone Data: Emphasis on Intra-Zonal Trips

    Demissie, Merkebe Getachew / Phithakkitnukoon, Santi / Kattan, Lina | IEEE | 2019


    A Novel Trip Coverage Index for Transit Accessibility Assessment Using Mobile Phone Data

    Zhengyi Cai / Dianhai Wang / Xiqun (Michael) Chen | DOAJ | 2017

    Freier Zugriff

    Methodology for Mobile Phone Location Data Mining

    Yang, Fei / Yao, Zhenxing | Springer Verlag | 2022


    Trip mode identification method and system based on mobile phone positioning data

    XING JIPING / HUO JINBIAO / ZHANG YUAN et al. | Europäisches Patentamt | 2022

    Freier Zugriff