Associations of built environments with spatiotemporal patterns of public bicycle use |
| |
| Affiliation: | 1. Department of Civil Engineering, 23 College Walk, Monash University, Victoria 3800, Australia;2. Department of Physical Planning, School of Planning and Architecture, New Delhi, India;3. Georgia Institute of Technology, 788 Atlantic Dr NW, Atlanta, GA 30332, USA;4. Institute of Transport Studies, Department of Civil Engineering, 23 College Walk, Monash University, Victoria 3800, Australia;5. Institute of Transport Studies, Department of Civil Engineering, 22 Alliance Lane, Monash University, Victoria 3800, Australia;1. Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;2. The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, China;3. School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA;4. Singapore-MIT Alliance for Research and Technology, 1 Create Way, Singapore;5. Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services, School of Architecture and Urban Planning & Research Institute for Smart Cities, Shenzhen University, Shenzhen, China;6. Senseable City Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA;7. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, China |
| |
| 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. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
