کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4929016 | 1432206 | 2016 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Applying spatial-temporal analysis and retail location theory to public bikes site selection in Taipei
ترجمه فارسی عنوان
استفاده از تجزیه و تحلیل مکانی-زمانی و تئوری مکان های خرده فروشی به انتخاب محل های دوچرخه عمومی در تایپه
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کلمات کلیدی
سیستم اجاره دوچرخه عمومی دوچرخه های کمبود / دوچرخه بدون قفل نقاط داغ، تجزیه و تحلیل فضایی و زمانی، نظریه خرده فروشی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی عمران و سازه
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Part A: Policy and Practice - Volume 94, December 2016, Pages 45-61
Journal: Transportation Research Part A: Policy and Practice - Volume 94, December 2016, Pages 45-61
نویسندگان
Jenhung Wang, Ching-Hui Tsai, Pei-Chun Lin,