| 城市轨道交通客流加权复杂网络分析 |
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| 引用本文： | 邢莹莹,陈圣迪,陆键.城市轨道交通客流加权复杂网络分析[J].北京理工大学学报,2016,36(S2):17-20. |
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| 作者姓名： | 邢莹莹 陈圣迪 陆键 |
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| 作者单位： | 上海交通大学 船舶海洋与建筑工程学院, 上海 200240,上海海事大学交通运输学院, 上海 201306,同济大学 交通运输工程学院, 上海 201804 |
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| 摘 要： | 本文以上海轨道交通网络为例，使用复杂网络理论构建拓扑网络并以断面客流为权重分析了节点强度、加权最短路径等指标及其分布规律，定量计算各个站点对于蓄意攻击的脆弱性，以鉴定对网络连通度影响最大的关键站点.仿真结果表明，上海轨道交通网络节点强度服从幂律分布，网络加权平均最短路径长度较大，连通性有待提高.面对蓄意攻击时，上海火车站、曹杨路和镇坪路作为关键节点对网络效率和网络最大连通子图的影响都较大，应在运营中加强保护.
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| 关 键 词： | 轨道交通 复杂网络理论 拓扑结构及动态特性 脆弱性 |
| 收稿时间： | 2016/10/30 0:00:00 |
Weighted Complex Network Analysis of Passenger Flow on Urban Rail Transit Network |
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| XING Ying-ying,CHEN Sheng-di and LU Jian.Weighted Complex Network Analysis of Passenger Flow on Urban Rail Transit Network[J].Journal of Beijing Institute of Technology(Natural Science Edition),2016,36(S2):17-20. |
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| Authors: | XING Ying-ying CHEN Sheng-di and LU Jian |
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| Institution: | School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiaotong University, Shanghai 200240, China,College of Transport & Communications, Shanghai Marine University, Shanghai 201306, China and College of Transportation Engineering, Tongji University, Shanghai 201804, China |
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| Abstract: | Taking Shanghai railtransit system as an example, topology of rail transit network was made by Space L method and the node strength, weighted shortest path were then computed and analyzed by considering passenger flows as edge weight. Simulation results show that the node strength of Shanghai rail transit network follows power-law distribution and the weighted shortest pathis large, thusconnectivityof it shouldbeimproved. Shanghai Railway Station, Caoyang Road and Zhenping Road have great influence on both network efficiency and the largestconnected cluster under intentional attack, which indicates they arethemost critical nodes in the network and there is a necessityfor enhanced protection in operation especially. |
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| Keywords: | rail transit complex network theory topological and dynamic characteristics vulnerability |
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