Vulnerability research of rail transit network under bus connection scenarios

doi:10.16265/j.cnki.issn1003-3033.2021.08.020

Abstract

Abstract: In order to evaluate vulnerability of rail transit network in emergencies accurately and improve ability of resisting network risks, based on research of rail transit topology vulnerability, actual passenger flow in network and connecting effect of public transport on passenger flow under scenario of station failure was consided, a vulnerability assessment model was constructed based on average travel time loss of passengers, taking Shanghai Metro network as an example. At the same time, vulnerability of rail transit network under different bus connection efficiency was analyzed. The results show that under bus connection scenarios, stations with high time weighted degree and passengers weighted betweenness will cause more average travel time loss once these stations failed. In the actual emergency connection management, priority should be given to these stations. In addition, the higher the bus connection efficiency is, the lower the vulnerability of rail transit network will be. When connection efficiency is higher than 0.4, the average travel time loss of passengers can be reduced to less than 5%.

Key words: bus connection, urban rail transit, network vulnerability, time loss, passenger flow

CLC Number:

X951

LU Qingchang, CUI Xin, XU Biao, LIU Peng, WANG Yan. Vulnerability research of rail transit network under bus connection scenarios[J]. China Safety Science Journal, 2021, 31(8): 141-146.

References

[1] 侯秀芳, 梅建萍, 左超,等. 2019年城市轨道交通线路统计分析[J]. 都市快轨交通, 2020,33(4):1-8.
HOU Xiufang, MEI Jianping, ZUO Chao, et al. Statistics and analysis of urban rail transit in 2019 [J]. Urban Rapid Rail Transit, 2020,33(4):1-8.
[2] MATTSON L G, JENELIUS E. Vulnerability and resilience of transport systems: a discussion of recent research[J]. Transportation Research Part A: Policy and Practice, 2015, 81:16-34.
[3] 叶青. 基于复杂网络理论的轨道交通网络脆弱性分析[J]. 中国安全科学学报, 2012,22(2):122-126.
YE Qing. Vulnerability analysis of rail transit based on complex network theory [J]. China Safety Science Journal, 2012,22(2):122-126.
[4] 薛锋,何传磊,黄倩. 成都地铁网络的关键节点识别方法及性能分析[J]. 中国安全科学学报, 2019,29(1):93-99.
XUE Feng, HE Chuanlei, HUANG Qian. Identification of key nodes in Chengdu metro network and analysis of network performance [J]. China Safety Science Journal, 2019,29(1): 93-99.
[5] 刘海旭,荣新. 基于出行时间损失的城轨网络脆弱性评估[J]. 综合运输, 2017,39(6):53-57.
LIU Haixu, RONG Xin. Evaluation of urban rail transit network vulnerability based on travel time loss [J]. China Transportation Review, 2017,39(6):53-57.
[6] RODRÍGUEZ-NÚÑEZ E, GARCÍA-PALOMARES J C. Measuring the vulnerability of public transport networks[J]. Journal of Transport Geography, 2014, 35(2):50-63.
[7] BERDICA K. An introduction to road vulnerability: what has been done, is done and should be done[J]. Transport Policy, 2002, 9(2):117-127.
[8] 张振江,张玉召,王小荣. 铁路快捷货运网络鲁棒性分析[J]. 中国安全科学学报, 2020,30(3):150-156.
ZHANG Zhenjiang, ZHANG Yuzhao, WANG Xiaorong. Robustness analysis of railway express freight network [J]. China Safety Science Journal, 2020,30(3):150-156.
[9] JENELIUS E, MATTSSON L G. Road network vulnerability analysis: conceptualization, implementation and application[J]. Computers, Environment and Urban Systems, 2015, 49:136-147.
[10] D'ESTE G M, TAYLOR M A P. Network vulnerability: an approach to reliability analysis at the level of national strategic transport networks[C]. Proceedings of the 1^st International Symposium on Transportation Network Reliability (INSTR). Oxford: Pergamon, 2003: 23-24.
[11] 李晓璐,于昕明,雷方舒,等. 城市轨道交通系统灾害链网络模型构建与评价[J]. 中国安全科学学报, 2018,28(6):179-184.
LI Xiaolu, YU Xinming, LEI Fangshu, et al. Construction of disaster chain network model and evaluation of network index for urban rail transit system [J]. China Safety Science Journal, 2018,28(6):179-184.
[12] SUN Lishan, HUANG Yuchen, CHEN Yanyan, et al. Vulnerability assessment of urban rail transit based on multi-static weighted method in Beijing, China[J]. Transportation Research Part A: Policy and Practice, 2018, 108:12-24.
[13] XING Yingying, LU Jian, CHEN Shengdi, et al. Vulnerability analysis of urban rail transit based on complex network theory: a case study of Shanghai Metro[J]. Public Transport, 2017, 9(3):501-525.
[14] 李秋璇. 基于客流加权的重庆轨道网络复杂性分析及关键节点识别[D]. 重庆: 重庆交通大学, 2019.
LI Qiuxuan. Study on network characteristics and key station identification of chongqing urban rail transit identification of chongqing urban rail transit network based on passenger flow[D]. Chongqing: Chongqing Jiaotong University, 2019.