Effects of Free-Floating Shared Bicycles on Urban Public Transportation
Effects of Free-Floating Shared Bicycles on Urban Public Transportation
复制标题
自由浮动共享单车对城市公共交通的影响
DOI：
10.3390/ijgi8080323
复制
发表时间：
2019-07
影响因子：
3.4
通讯作者：
Chen Min
中科院分区：
文献类型：
--
作者：
Cao Min;Ma Shangjing;Huang Mengxue;Lu Guonian;Chen Min
作为互联网和共享经济发展的产物，共享单车有利于解决城市居民公共交通最后一公里问题，在一定程度上扩大城市公共交通的服务范围。采用核密度估计和统计分析方法，分析了北京市共享单车的时空特征。最大覆盖选址问题模型用于量化共享单车对地铁和公交城市公共交通系统的影响。分析结果对于从时空角度研究共享单车的使用对城市公交系统的影响具有重要意义。研究结果表明：（1）共享单车主要分布在地铁站1.5公里和公交站500米范围内;（2）共享单车使用量沿着距离地铁站和公交站的距离变化;（3）根据共享单车的“汇-源”特征，将地铁站和公交站分为6种类型;（4）地铁和公交车站的服务区域在共享单车实施后分别扩大约2.34倍和1.33倍。
As a product of the development of the Internet and the sharing economy, shared bicycles are beneficial in solving the last mile problem of public transportation for urban residents and expanding the service area of urban public transportation to a certain extent. This paper analyses the spatial-temporal characteristics of shared bicycles in the city of Beijing by using kernel density estimation and statistical analysis methods. The maximum coverage location problem model is used to quantify the effects of shared bicycles on the subway and bus urban public transportation systems. The analysis results are of great importance to identify the effects of shared bicycle usage on an urban bus public transportation system from the view of space-time. The results show that (1) shared bicycles are largely located within 1.5 km from the subway station and 500 meters from the bus stations; (2) the number of the shared bicycle usage changes along with the distance from the subway and bus stations; (3) subway and bus stations are divided into six types based on the sink-source characteristics of shared bicycles; (4) the service areas of subway and bus stations are expanded by approximately 2.34 and 1.33 times, respectively, after the implementation of shared bicycles.
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DOI：
10.1145/3267305.3274156
发表时间：
2018-04
期刊：
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
影响因子：
--
作者：
Fernando Munoz-Mendez;Konstantin Klemmer;Ke Han;S. Jarvis
通讯作者：
Fernando Munoz-Mendez;Konstantin Klemmer;Ke Han;S. Jarvis
DOI：
--
发表时间：
2014-01
期刊：
--
影响因子：
--
作者：
E. Côme;Njato Andry Randriamanamihaga;L. Oukhellou;P. Aknin
通讯作者：
E. Côme;Njato Andry Randriamanamihaga;L. Oukhellou;P. Aknin
DOI：
10.1016/j.compenvurbsys.2008.05.001
发表时间：
2008-09-01
影响因子：
6.8
作者：
Xia, Zhixiao;Yan, Jun
通讯作者：
Yan, Jun
影响因子：
7.3
作者：
Jon E. Froehlich;Joachim Neumann;Nuria Oliver
通讯作者：
Jon E. Froehlich;Joachim Neumann;Nuria Oliver
影响因子：
6.1
作者：
O'Brien, Oliver;Cheshire, James;Batty, Michael
通讯作者：
Batty, Michael