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Applying spatial-temporal analysis and retail location theory to public bikes site selection in Taipei
Institution:1. Department of Logistics Management, National Kaohsiung First University of Science and Technology, No. 1, University Road, Yanchao District, Kaohsiung City 824, Taiwan;2. Department of Transportation and Communication Management Science, National Cheng Kung University, No. 1, University Road, Tainan 701, Taiwan;1. Institute of Traffic Engineering, Inner Mongolia University, China;2. Inner Mongolia Engineering Research Center for Urban Transportation Data Science and Application, China;3. School of Mathematical Sciences, Inner Mongolia University, China;1. Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Dongnandaxue Road 2, Nanjing, Jiangsu, China;2. School of Transportation, Southeast University, Dongnandaxue Road 2, Nanjing, Jiangsu, China;3. Department of Transport Science, School of Architecture and the Built Environment, Royal Institute of Technology (KTH), Stockholm 11428, Teknikringen 41506, Sweden;4. Department of Transport & Planning, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, PO Box 5048, 2600, GA, Delft, the Netherlands;1. Department of Geography, and NTU Research Center for Future Earth, National Taiwan University, Taiwan;2. College of Urban and Environmental Sciences, Peking University, China;3. Department of Architecture and Urban Environment, Tokyo Denki University, Japan;4. Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Japan;5. Department of Geography, National Taiwan University, Taiwan
Abstract: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.
Keywords:Public bike rental system  Lacking-bike/lacking-bike rack hot spots  Spatial-temporal analysis  Retail location theory
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