Measuring vulnerability of urban metro network from line operation perspective

被引:170
作者
Sun, Daniel [1 ,2 ]
Guan, Shituo [2 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, Transportat Res Ctr, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
Metro network; Vulnerability; Disruption; Passenger flow; Line operation; TRANSPORT; ROBUSTNESS; RESILIENCE; SHANGHAI;
D O I
10.1016/j.tra.2016.09.024
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:348 / 359
页数:12
相关论文
共 23 条
[1]  
Berdica K., 2002, TRANSPORT POLICY, V9, P117, DOI DOI 10.1016/S0967-070X(02)00011-2
[2]   Recovery of disruptions in rapid transit networks [J].
Cadarso, Luis ;
Marin, Angel ;
Maroti, Gabor .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2013, 53 :15-33
[3]   Planning for the unexpected: The value of reserve capacity for public transport network robustness [J].
Cats, Oded ;
Jenelius, Erik .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2015, 81 :47-61
[4]   Dynamic Vulnerability Analysis of Public Transport Networks: Mitigation Effects of Real-Time Information [J].
Cats, Oded ;
Jenelius, Erik .
NETWORKS & SPATIAL ECONOMICS, 2014, 14 (3-4) :435-463
[5]   Attack structural vulnerability of power grids: A hybrid approach based on complex networks [J].
Chen, Guo ;
Dong, Zhao Yang ;
Hill, David J. ;
Zhang, Guo Hua ;
Hua, Ke Qian .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2010, 389 (03) :595-603
[6]   Evaluating passenger robustness in a rail transit network [J].
De-Los-Santos, Alicia ;
Laporte, Gilbert ;
Mesa, Juan A. ;
Perea, Federico .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2012, 20 (01) :34-46
[7]   The complexity and robustness of metro networks [J].
Derrible, Sybil ;
Kennedy, Christopher .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2010, 389 (17) :3678-3691
[8]   Characterizing metro networks: state, form, and structure [J].
Derrible, Sybil ;
Kennedy, Christopher .
TRANSPORTATION, 2010, 37 (02) :275-297
[9]   Network Analysis of World Subway Systems Using Updated Graph Theory [J].
Derrible, Sybil ;
Kennedy, Christopher .
TRANSPORTATION RESEARCH RECORD, 2009, (2112) :17-25
[10]   Compared analysis of metro networks supported by graph theory [J].
Gattuso, D ;
Miriello, E .
NETWORKS & SPATIAL ECONOMICS, 2005, 5 (04) :395-414