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The Structure of Spatial Networks and Communities in Bicycle Sharing Systems

机译:自行车共享系统中的空间网络和社区结构

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摘要

Bicycle sharing systems exist in hundreds of cities around the world, with the aim of providing a form of public transport with the associated health and environmental benefits of cycling without the burden of private ownership and maintenance. Five cities have provided research data on the journeys (start and end time and location) taking place in their bicycle sharing system. In this paper, we employ visualization, descriptive statistics and spatial and network analysis tools to explore system usage in these cities, using techniques to investigate features specific to the unique geographies of each, and uncovering similarities between different systems. Journey displacement analysis demonstrates similar journey distances across the cities sampled, and the (out)strength rank curve for the top 50 stands in each city displays a similar scaling law for each. Community detection in the derived network can identify local pockets of use, and spatial network corrections provide the opportunity for insight above and beyond proximity/popularity correlations predicted by simple spatial interaction models.
机译:自行车共享系统遍布全球数百个城市,其目的是提供一种公共交通形式,并为自行车带来相关的健康和环境效益,而无需私人负担和维护。五个城市提供了有关自行车共享系统中旅程(起点和终点时间以及位置)的研究数据。在本文中,我们使用可视化,描述性统计以及空间和网络分析工具来探索这些城市中的系统使用情况,使用技术来调查每个城市的独特地理区域所特有的功能,并揭示不同系统之间的相似性。旅途位移分析表明,在各个采样城市之间的行进距离相似,并且每个城市排名前50位的车架的(强度)等级曲线对每个城市显示出相似的比例定律。派生网络中的社区检测可以识别使用的地方,而空间网络校正则提供了超越简单空间交互模型预测的接近度/受欢迎度相关性的见解机会。

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