交通信息与安全2017，Vol.35Issue(3)：51-58,8.DOI:10.3963/j.issn.1674-4861.2017.03.007
基于站点爬虫数据的公共自行车系统时空特征分析
Spatial-temporal Characteristics of a Shared Bicycle System Based on Web Crawler Data
庄楚天 1吴戈1
作者信息
- 1. 苏州大学城市轨道交通学院 江苏 苏州 215131
- 折叠
摘要
Abstract
It is a prerequisite to optimize the operation of a shared bicycle system by collecting spatial-temporal characteristics of it.A web crawler technology is used to obtain data of stations.After that, indices like activity score (AS) are defined to measure operation of the system.In order to identify a valid cluster algorithm for computing AS, several methods are compared by using Dunn index and Davies-Bouldin index.Global and local Moran's statistics are introduced to analyze spatial-temporal characteristics of stations usage.In a case study of a shared bicycle system in Suzhou, stations are clustered into four types according to the changing regularity of AS.It is found that activity of one station has positive spatial correlation with 13 stations during rush hours in evening and 20 stations during rush hours in morning.It is speculated that average riding distance are 1.7 km and 2.2 km, respectively.Although majority of the normalized available bicycles (NABs) at peak times are spatially distributed at random, this study still finds that stations with high NAB are gathered in several different areas.Stations with low NABs are centrally located in a larger area in the city.The results also clearly reveal existing problems of coordination between stations in the system.关键词
城市交通/公共自行车/网络爬虫/空间分析/聚类分析/站点活跃度/车桩比Key words
urban traffic/shared bicycle/web crawler/spatial analysis/cluster analysis/activity score/normalized available bicycles分类
交通工程引用本文复制引用
庄楚天,吴戈..基于站点爬虫数据的公共自行车系统时空特征分析[J].交通信息与安全,2017,35(3):51-58,8.
