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Measuring vulnerability of urban metro network from line operation perspective

机译:从线路运营角度衡量城市地铁网络的脆弱性

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Urban metro systems are subject to recurring service disruption for various reasons, such as mechanical or electrical failure, adverse weather, or other accidents. In recent years, studies on metro networks have attracted increasing attention because the consequence of operational accidents is barely affordable. This study proposes to measure the metro network vulnerability from the perspective of line operation by taking the Shanghai metro network as a case study. As opposed to previous studies that focused largely on disruption of important nodes or links, this study investigates the disruption from the line operation perspective. Betweenness centrality (BC) and passenger betweenness centrality (PBC), number of missed trips, weighted average path length, and weighted global efficiency were analyzed considering relative disruption probability of each line. Passenger flow distribution and re-distribution were simulated for different disruption scenarios based on all-or-nothing assignment rule. The results indicate that the metro lines carrying a large number of passengers generally have a significant impact on the network vulnerability. The lines with circular topological form also have a significant influence on passenger flow re-distribution in case of a disruption. The results of this study provide suggestions on metro system administration for potential improvement of the performance of operation, and passengers may meanwhile have an improved alternate plan for their commute trip when a disruption occurs. (C) 2016 Elsevier Ltd. All rights reserved.
机译:由于各种原因(例如机械或电气故障,不利的天气或其他事故),城市地铁系统经常会中断服务。近年来,对地铁网络的研究已引起越来越多的关注,因为运营事故的后果难以承受。本研究建议以上海地铁为例,从线路运营的角度衡量地铁网络的脆弱性。与以前的研究主要集中在重要节点或链接的中断上相反,本研究从线路操作的角度研究中断。考虑到每条线的相对破坏概率,分析了中间度(BC)和乘客中间度(PBC),错失旅程次数,加权平均路径长度以及加权全局效率。基于全有或全无分配规则,针对不同的中断场景模拟了客流分配和再分配。结果表明,载有大量乘客的地铁线路通常会对网络脆弱性产生重大影响。在发生中断的情况下,具有圆形拓扑形式的线也对客流重新分配产生重大影响。这项研究的结果为地铁系统管理提供了可能改善运营绩效的建议,并且当发生干扰时,乘客可能同时为通勤旅行制定了更好的替代计划。 (C)2016 Elsevier Ltd.保留所有权利。

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