城市公共自行车复杂网络特性研究
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摘要
文章利用某市公共自行车公司的自行车租还车数据,结合公共自行车系统结构及其动态特性,构建了某市公共自行车运营网络的复杂网络模型,通过对网络中节点度、聚类系数、平均直径和最短路径等参数进行分析,结果显示,该市的公共自行车运营网络具有小世界的网络特点。利用分布特性发现了网络关键节点,并且居民使用公共自行车出行距离不长,公共自行车作为其他公共交通的有力补充,有效地解决了公共交通出行"最后一公里"的问题。此外文章还根据已构建的公共自行车运营网络,重点分析了早晚高峰时期、自然天气环境条件、节假日状况对公共自行车租换车的影响。
Combined with public bicycle system structure and its dynamic characteristics, the city public bicycle network model is constructed using return and rent data from public bicycle company.Based on the analysis of the properties of node degree, clustering coefficient average diameter and the shortest path etc., the results showed that the city's public bicycle operation network has the characteristics of Smallworld network.Using the distribution characteristics, the key nodes of the network are found out, and it is not long distance for residents to use public bicycle.The problem about "last mile" of public transportation when public bicycle as a powerful supplement to other public transport is effectively solved.Besides, according public bicycle operation network, the influences of morning and evening peak period,natural weather conditions and holidays status on public bicycle return and rent are also mainly discussed.
Combined with public bicycle system structure and its dynamic characteristics, the city public bicycle network model is constructed using return and rent data from public bicycle company.Based on the analysis of the properties of node degree, clustering coefficient average diameter and the shortest path etc., the results showed that the city's public bicycle operation network has the characteristics of Smallworld network.Using the distribution characteristics, the key nodes of the network are found out, and it is not long distance for residents to use public bicycle.The problem about "last mile" of public transportation when public bicycle as a powerful supplement to other public transport is effectively solved.Besides, according public bicycle operation network, the influences of morning and evening peak period,natural weather conditions and holidays status on public bicycle return and rent are also mainly discussed.
引文
[1]俞桂杰,彭语冰,褚衍昌.复杂网络理论及其在航空网络中的应用[J].复杂系统与复杂性科学,2006,3(01):79-84.
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[4]王燚,杨超.上海市轨道交通网络的复杂网络特性研究[J].城市轨道交通研究,2009(02):33-36.
[5]胡一竑,吴勤旻,朱道立.城市道路网络的拓扑性质和脆弱性分析[J].复杂系统与复杂性科学,2009,9(03):69-76.
[6]赵月,杜文,陈爽.复杂网络理论在城市交通网络分析中的应用[J].城市交通.2009,7(01):57-65.
[7]高峰,党亚茹.世界航空客运网络的节点度分布特征[J].科学学与科学技术管理,2009(07):75-79.
[8]宗跃光,陈眉舞,杨伟,马强.基于复杂网络理论的城市交通网络结构特征[J].吉林大学学报(工学版),2009,39(04):910-915.
[9]朱强,郭晟.广州市公共自行车交通系统实施策略研究[J].黑龙江交通科技,2009(08):199-202.
[10]马玄,江腾,张靓靓,林懿东,王芳,李艳君.杭州市公共自行车网络现状及其模型特性研究[J].城市交通,2011,6(01):19-22.
[2]赵伟,何红生,林中材,杨孔庆.中国铁路客运网网络性质的研究[J].物理学报,2006,55(08):3906-3911.
[3]龚迪嘉,朱忠东.城市公共自行车交通系统实施机制[J].城市交通,2008,6(06):27-32.
[4]王燚,杨超.上海市轨道交通网络的复杂网络特性研究[J].城市轨道交通研究,2009(02):33-36.
[5]胡一竑,吴勤旻,朱道立.城市道路网络的拓扑性质和脆弱性分析[J].复杂系统与复杂性科学,2009,9(03):69-76.
[6]赵月,杜文,陈爽.复杂网络理论在城市交通网络分析中的应用[J].城市交通.2009,7(01):57-65.
[7]高峰,党亚茹.世界航空客运网络的节点度分布特征[J].科学学与科学技术管理,2009(07):75-79.
[8]宗跃光,陈眉舞,杨伟,马强.基于复杂网络理论的城市交通网络结构特征[J].吉林大学学报(工学版),2009,39(04):910-915.
[9]朱强,郭晟.广州市公共自行车交通系统实施策略研究[J].黑龙江交通科技,2009(08):199-202.
[10]马玄,江腾,张靓靓,林懿东,王芳,李艳君.杭州市公共自行车网络现状及其模型特性研究[J].城市交通,2011,6(01):19-22.