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Connectivity Reliability on an Urban Rail Transit Network from the Perspective of Passenger Travel
Urban Rail Transit ( IF 1.7 ) Pub Date : 2019-12-09 , DOI: 10.1007/s40864-019-00117-z
Jie Liu , Qiyuan Peng , Jinqu Chen , Yong Yin

Under the background of urbanization and the rapid development of urban rail transit (URT), serious attention has been focused on URT network reliability in recent years. In this work, in order to measure network reliability, three indicators are constructed based on passengers’ tolerable travel paths, passenger travel efficiency and passenger travel realization on a URT network. The passenger tolerability coefficient, which is the ratio of passengers’ tolerable travel time to the shortest possible travel time, is proposed and added to the indicators. It reflects passengers’ behavior with respect to choice of travel paths. The ratio of affected passenger volume (RAPV) is proposed to identify important stations. Finally, the connectivity reliability of Wuhan’s subway network is analyzed by simulating attacks on stations. The results show that the degree centrality, betweenness centrality and RAPV indicators of stations can effectively identify the important stations that have a significant impact on the connectivity reliability of the network. In particular, the RAPV indicator effectively identifies stations that have the greatest influence on passenger travel realization. The connectivity reliability of Wuhan’s subway network is sensitive to passenger tolerability coefficient, and reliability is greater during non-peak hours than during peak hours. In addition, the stations that are important to the connectivity reliability of the Wuhan subway have two features, i.e., they are located at the center of the city, and they are important for connecting subgraphs of the network.

中文翻译:

从旅客出行角度看城市轨道交通网络的连通可靠性

在城市化和城市轨道交通(URT)飞速发展的背景下,近年来人们对UTR网络的可靠性给予了高度关注。在这项工作中,为了衡量网络的可靠性,根据乘客的可忍受的旅行路径,乘客的出行效率和在URT网络上实现的乘客出行,构建了三个指标。提出了旅客可忍受系数,该系数是旅客可忍受的出行时间与最短的出行时间之比。它反映了乘客在选择行进路线方面的行为。建议使用受影响乘客量的比率(RAPV)来识别重要车站。最后,通过模拟对站点的攻击来分析武汉地铁网络的连接可靠性。结果表明,站点的度中心度,中间度中心度和RAPV指标可以有效地识别对网络的连接可靠性有重要影响的重要站点。特别是,RAPV指标可有效识别对旅客出行实现影响最大的车站。武汉地铁网络的连接可靠性对乘客的容忍度系数敏感,在非高峰时段的可靠性要高于高峰时段。此外,对于武汉地铁的连接可靠性至关重要的站点具有两个功能,即它们位于城市中心,对于连接网络的子图非常重要。站点的中间性中心度和RAPV指标可以有效地识别对网络的连接可靠性有重大影响的重要站点。特别是,RAPV指标可有效识别对旅客出行实现影响最大的车站。武汉地铁网络的连接可靠性对乘客的容忍度系数敏感,在非高峰时段的可靠性要高于高峰时段。此外,对于武汉地铁的连接可靠性至关重要的站点具有两个功能,即它们位于城市中心,对于连接网络的子图非常重要。站点的中间性中心度和RAPV指标可以有效地识别对网络的连接可靠性有重大影响的重要站点。特别是,RAPV指标可有效识别对旅客出行实现影响最大的车站。武汉地铁网络的连接可靠性对乘客的容忍度系数敏感,在非高峰时段的可靠性要高于高峰时段。此外,对于武汉地铁的连接可靠性至关重要的站点具有两个功能,即它们位于城市中心,对于连接网络的子图非常重要。RAPV指标可有效识别对旅客出行实现影响最大的车站。武汉地铁网络的连接可靠性对乘客的容忍度系数敏感,在非高峰时段的可靠性要高于高峰时段。此外,对于武汉地铁的连接可靠性至关重要的站点具有两个功能,即它们位于城市中心,对于连接网络的子图非常重要。RAPV指标可有效识别对旅客出行实现影响最大的车站。武汉地铁网络的连接可靠性对乘客的容忍度系数敏感,在非高峰时段的可靠性要高于高峰时段。此外,对于武汉地铁的连接可靠性至关重要的站点具有两个功能,即它们位于城市中心,对于连接网络的子图非常重要。
更新日期:2019-12-09
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