Abstract To inform the station-area planning, previous studies use direct ridership models to examine the relationship between the built environment around stations and transit ridership. Based on this framework, this study innovatively applies gradient boosting decision trees to investigate the non-linear effects of built environment variables on station boarding. Using the Metrorail data in the Washington metropolitan area, we found that station-area built environment characteristics collectively contribute to 34% of the predictive power for Metrorail ridership, after controlling for transit service factors and demographics. Built environment variables show threshold effects on Metrorail ridership. We further identified their effective ranges, guiding land use planning around stations. This study highlights the roles of compact and mixed land use development, the number of bus stops, and car ownership in determining the station-level ridership.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds


    Beteiligte:
    Ding, Chuan (Autor:in) / Cao, Xinyu (Autor:in) / Liu, Chao (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2019-04-22


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Navigate through the haze: Wildfire smoke exposure and Metrorail ridership

    Han, Xianru / Wang, Haoluan / Yu, Jiaao | Elsevier | 2024




    METRORAIL STATION OF DEEP UNDERGROUND SPACE

    WOO SUNG WON / KIM YONG MAN / YOON HEE CHUL et al. | Europäisches Patentamt | 2017

    Freier Zugriff