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Built Environment Factors Affecting Bike Sharing Ridership: Data-Driven Approach for Multiple Cities

Duran-Rodas, D; Chaniotakis, E; Antoniou, C; (2019) Built Environment Factors Affecting Bike Sharing Ridership: Data-Driven Approach for Multiple Cities. Transportation Research Record: Journal of the Transportation Research Board , 2673 (12) pp. 55-68. 10.1177/0361198119849908. Green open access

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Abstract

Identification of factors influencing ridership is necessary for policy-making, as well as, when examining transferability and aspects of performance and reliability. In this work, a data-driven method is formulated to correlate arrivals and departures of station-based bike sharing systems with built environment factors in multiple cities. Ridership data from stations of multiple cities are pooled in one data set regardless of their geographic boundaries. The method bundles the collection, analysis, and processing of data, as well as, the model’s estimation using statistical and machine learning techniques. The method was applied on a national level in six cities in Germany, and also on an international level in three cities in Europe and North America. The results suggest that the model’s performance did not depend on clustering cities by size but by the relative daily distribution of the rentals. Selected statistically significant factors were identified to vary temporally (e.g., nightclubs were significant during the night). The most influencing variables were related to the city population, distance to city center, leisure-related establishments, and transport-related infrastructure. This data-driven method can help as a support decision-making tool to implement or expand bike sharing systems.

Type: Article
Title: Built Environment Factors Affecting Bike Sharing Ridership: Data-Driven Approach for Multiple Cities
Open access status: An open access version is available from UCL Discovery
DOI: 10.1177/0361198119849908
Publisher version: http://dx.doi.org/10.1177/0361198119849908
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: bike sharing, built environment, open-source, multiple cities comparison
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10090611
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