Citation

Liu HC, Lin JJ. J. Transp. Geogr. 2019; 74: 299-312.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/j.jtrangeo.2018.12.010

PMID

unavailable

Abstract

This study examines the association of built environment attributes with spatiotemporal patterns of public bicycle use. The study observations are based on the rental records of YouBike, which is a public bicycle system (PBS) in Taipei Metropolitan Area, Taiwan, from July to December 2015. A hierarchical clustering method is applied to identify the spatiotemporal patterns of YouBike use, and multinomial logit regression is used to clarify the associations. Empirical results indicate that the spatiotemporal patterns of PBS utilization differ in weekdays and holidays and are associated with locations, land use and facilities in a city. The empirical evidence fills the knowledge gap on the factors associated with the spatiotemporal patterns of PBS use and provides system operators with a valuable basis for the integrated planning and management of PBSs and built environments.

Language: en

Keywords

Built environment; Public bicycle system; Spatiotemporal pattern