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  4. Associations of built environments with spatiotemporal patterns of public bicycle use
 
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Associations of built environments with spatiotemporal patterns of public bicycle use

Journal
Journal of Transport Geography
Journal Volume
74
Pages
299-312
Date Issued
2019
Author(s)
Liu, H.-C.
JEN-JIA LIN  
DOI
10.1016/j.jtrangeo.2018.12.010
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/510483
URL
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059103603&doi=10.1016%2fj.jtrangeo.2018.12.010&partnerID=40&md5=eab0808d2ba5afe6eb475e1538b0943f
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. © 2018 Elsevier Ltd
Subjects
Built environment; Public bicycle system; Spatiotemporal pattern
SDGs

[SDGs]SDG11

[SDGs]SDG15

Other Subjects
cycle transport; integrated approach; metropolitan area; public transport; spatiotemporal analysis; Taipei; Taiwan
Type
journal article

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