TY - JOUR
T1 - Applying spatial-temporal analysis and retail location theory to pubic bikes site selection in Taipei
AU - Wang, Jenhung
AU - Tsai, Ching Hui
AU - Lin, Pei Chun
N1 - Funding Information:
The authors gratefully acknowledges the helpful comments of the editor and the reviewers who provided valuable input and comments that have contributed to improving the content and exposition of this paper. This research was supported in part by grants from the Ministry of Science and Technology of the Republic of China in Taiwan under grants MOST 104-2815-C-006-035-H held by the second author, and under grants NSC 105-2410-H-006-054 held by the third author.
Publisher Copyright:
© 2016 Elsevier Ltd
PY - 2016/12/1
Y1 - 2016/12/1
N2 - In order to turn Taipei into a sustainable, green metropolis, in 2009, the Department of Transportation of Taipei City Government launched a public bike rental system (YouBike) to meet people's daily commute and/or leisure needs. Given that users may return bikes to sites differing from their starting locations, rental stations frequently lack bikes or bike racks. This study sought to identify lacking-bike and/or lacking-bike rack hot spots utilizing spatial-temporal analysis. In addition, it applied retail location theory to determine site selection of further rental stations. Historical data indicated that shortage of bikes was much more severe than shortage of bike racks in the YouBike public bike system and lacking-bike and lacking-bike rack hot spots were clustered significantly. The study demonstrated that spatial-temporal analysis can be used to effectively identify rental stations’ spatial patterns, determine the most suitable locations for further installation of rental stations, help to provide public bike users with a more effective rental system, and greatly assist public bikes’ operational management and decision-making in Taiwan.
AB - In order to turn Taipei into a sustainable, green metropolis, in 2009, the Department of Transportation of Taipei City Government launched a public bike rental system (YouBike) to meet people's daily commute and/or leisure needs. Given that users may return bikes to sites differing from their starting locations, rental stations frequently lack bikes or bike racks. This study sought to identify lacking-bike and/or lacking-bike rack hot spots utilizing spatial-temporal analysis. In addition, it applied retail location theory to determine site selection of further rental stations. Historical data indicated that shortage of bikes was much more severe than shortage of bike racks in the YouBike public bike system and lacking-bike and lacking-bike rack hot spots were clustered significantly. The study demonstrated that spatial-temporal analysis can be used to effectively identify rental stations’ spatial patterns, determine the most suitable locations for further installation of rental stations, help to provide public bike users with a more effective rental system, and greatly assist public bikes’ operational management and decision-making in Taiwan.
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U2 - 10.1016/j.tra.2016.08.025
DO - 10.1016/j.tra.2016.08.025
M3 - Article
AN - SCOPUS:84987941441
SN - 0965-8564
VL - 94
SP - 45
EP - 61
JO - Transportation Research Part A: Policy and Practice
JF - Transportation Research Part A: Policy and Practice
ER -