Bikeshare has gained popularity worldwide and can serve as a first mile/last mile feeder for public transport. In many bikeshare systems, docking stations near a metrorail station are popular trip origins and destinations and bikeshare can help increase the ridership of the metrorail system as well. The goal of this study is to identify the determinants of bikeshare trips between neighborhood stations and bikeshare docking stations near the metrorail in Washington, D.C. For this study, we divided the bikeshare stations in Washington, D.C., into two categories: docking stations near a metrorail station (defined as bikeshare docking stations within a quarter mile radius of metrorail stations) and neighborhood stations (bikeshare docking stations outside the quarter mile radius of metrorail stations). We used two stepwise linear regression models of bikeshare trips between neighborhoods and metrorail stations stratifying the analysis by the determinants of neighborhood docking stations into four categories: socio-demographic conditions, transportation related, land use, and points of interests. In the backward elimination model, expanding the bike trail supply by an additional 100 m was associated with an increase in 70 annual bikeshare trips between a neighborhood station and a docking station near the metrorail. The forward selection model showed that a 1% increase in the poverty rate of the neighborhood stations was associated with 52 fewer annual such bikeshare trips. This study also found that adding bikeshare docking stations near national parks and neighborhoods with higher population density can promote bikeshare that starts/ends near metrorail stations.


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    Titel :

    Bikeshare–Metrorail Integration in Washington, D.C.: What are the Characteristics of Neighborhoods that Encourage Capital Bikeshare Trips to and from the Metrorail?


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:


    Erscheinungsdatum :

    2024-03-03




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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