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机构地区:[1]上海市政工程设计研究总院(集团)有限公司综合交通规划设计研究院,上海200082 [2]西南交通大学交通运输与物流学院,四川成都610031
出 处:《西华大学学报(自然科学版)》2016年第6期74-78,共5页Journal of Xihua University:Natural Science Edition
基 金:国家自然科学基金项目(71173177)
摘 要:应用复杂网络的理论,结合统计得到的成都市公交数据,构建R空间下公交网络,对网络节点按度值排序,评价度值排名前a的节点构成的子网络的连通性,进一步对线路按性质分类,分析不同性质线路的相互连接特性。结果表明:整个网络聚集系数为0.566,其中度值排名前10%的节点构成网络的聚集系数为0.721,体现出明显的"富人俱乐部"特性;BRT及轨道交通线路是城市公交的换乘核心,市区线路构成城市公交系统的主体,但在一定程度上降低了网络连通性,支线公交及郊区线路对维持整个网络的连通性具有重要作用,社区巴士线路与主要线路相连,在一定程度上提高了整个网络的连通性。Using the theory of the complex network,Chengdu's public traffic network in space R was built combined with the data of Chengdu's public transport. The paper sequenced the network nodes by node degrees to evaluate the connectedness of sub-nets formed by the top a node degrees. Furtherly,the bus lines were sorted according to line properties to analysis the connection properties between different sorts. The results show that the clustering coefficient of the whole network is 0. 566 and the sub-net,formed by the nodes with top 10 percent node degrees,is 0. 721,which demonstrates the obvious"Rich Club"Phenomenon. BRT and rail transit are the core lines for transport transfer. Urban lines formed the main part of the public transport,but they reduced the connectedness of the network at some level. Feeder bus lines and suburban lines play important roles in keeping the connectedness steady. Community bus lines majorly connect main lines and enhance the connectedness at some level.
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