A bikeshare station area typology to forecast the station-level ridership of system expansion

The continuous introduction and expansion of docked bikeshare systems with publicly available origin-destination data have opened exciting avenues for bikeshare research. In response, a flux of recent studies has examined the sociodemographic determinants and safety or natural environment deterrents...

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Bibliographische Detailangaben
Veröffentlicht in:Journal of Transport and Land Use. - Journal of Transport and Land Use, 2008. - 12(2019), 1, Seite 221-235
1. Verfasser: Gehrke, Steven R. (VerfasserIn)
Weitere Verfasser: Welch, Timothy F.
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2019
Zugriff auf das übergeordnete Werk:Journal of Transport and Land Use
Schlagworte:Applied sciences Biological sciences Social sciences Economics Information science Physical sciences
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520 |a The continuous introduction and expansion of docked bikeshare systems with publicly available origin-destination data have opened exciting avenues for bikeshare research. In response, a flux of recent studies has examined the sociodemographic determinants and safety or natural environment deterrents of system ridership. An increasing abundance of disaggregate spatial data has also spurred recent calls for research aimed at extending the utility of these contextual data to model bikeshare demand and trip patterns. As planners and operators seek to expand bikeshare services into underserved areas, a need exists to provide a data-driven understanding of the spatial dynamics of bikeshare use. This study of the Washington, DC, metro region's Capital Bikeshare (CaBi) program answers this call by performing a latent class cluster analysis to identify five bikeshare station area types based on variation in a set of land development pattern, urban design, and transportation infrastructure features. This typology is integrated into a planning application exploring the potential for system expansion into nearby jurisdictions and forecasting the associated trip-making potential between existing and proposed station locations. 
540 |a Copyright 2019 Steven R. Gehrke and Timothy F. Welch 
650 4 |a Applied sciences  |x Engineering  |x Transportation  |x Traffic  |x Passenger traffic  |x Ridership 
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650 4 |a Social sciences  |x Human geography  |x Land use 
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700 1 |a Welch, Timothy F.  |e verfasserin  |4 aut 
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