Study on node importance and failure recovery of regional rail transit system

doi:10.16265/j.cnki.issn 1003-3033.2021.02.016

China Safety Science Journal ›› 2021, Vol. 31 ›› Issue (2): 112-119.doi: 10.16265/j.cnki.issn 1003-3033.2021.02.016

• Public safety • Previous Articles Next Articles

Study on node importance and failure recovery of regional rail transit system

JU Yanni^1,2,3, LI Zongping^1,2,3, CHEN Yufan^1,2,3, YAN Huawei⁴, CAO Liwen^1,2,3, LIU Can^1,2,3

1 School of Transportation and Logistics, Southwest Jiaotong University, Chengdu Sichuan 611756, China;
2 Nation United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu Sichuan 611756, China;
3 Comprehensive Transportation Key Laboratory of Sichuan Province, Chengdu Sichuan 611756, China;
4 Transport and Urban Planning and Design Research Institute, China Railway Eryuan Engineering Group Co., Ltd, Chengdu Sichuan 610031, China

Received:2020-11-10 Revised:2021-01-15 Online:2021-02-28 Published:2021-08-18

Abstract

Abstract: In order to improve reliability under normal operation and resilience under failures of RRTS, topological characteristics of regional rail transit network(RRTN) were analyzed and a quantitative evaluation model for resilience of topological structure was proposed to achieve system resilience evaluation under failures. A structure evaluation method based on system resilience was proposed, and key nodes were identified based on the node importance evaluation. The resilience loss triangle was applied to find system's optimal recovery strategy under various failures. The results show that RRTN has characteristics of typical scale-free networks under Space L model. The system resilience analysis combined with Copeland scoring method improves accuracy of node importance evaluation. Optimal fault recovery strategy seeks the maximum value of system resilience under different recovery strategies from global perspective and optimizes structural resilience and recovery capabilities of RRTS.

Key words: regional rail transit system(RRTS), system resilience, node connectivity, evaluation of node importance, optimal recovery strategy

CLC Number:

X951

JU Yanni, LI Zongping, CHEN Yufan, YAN Huawei, CAO Liwen, LIU Can. Study on node importance and failure recovery of regional rail transit system[J]. China Safety Science Journal, 2021, 31(2): 112-119.

References

[1] 国家新型城镇化规划(2014—2020年)[EB/OL]. (2014-03-16). http://www.gov.cn/zhengce/2014-03/16/content_2640075.htm.
[2] 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.
[3] 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.
[4] 乔珂,赵鹏,姚向明. 城市轨道交通网络性能分析[J]. 交通运输系统工程与信息,2012,12(4): 115-121.
QIAO Ke,ZHAO Peng,YAO Xiangming. Performance analysis of urban rail transit network [J]. Journal of Transportation Systems Engineering and Information Technology,2012,12(4): 115-121.
[5] ZHANG Dongming,DU Fei,HUANG Hongwei,et al. Resiliency assessment of urban rail transit networks: Shanghai metro as an example[J]. Safety Science,2018,106: 230-243.
[6] 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.
[7] BRUNEAU M,CHANG S E,EGUCHI R T,et al. A framework to quantitatively assess and enhance the seismic resilience of communities[J]. Earthquake Spectra,2003,19(4): 733-752.
[8] 尹荣荣,尹学良,崔梦頔,等. 基于重要度贡献的无标度网络节点评估方法[J]. 软件学报,2019,30(6): 1 875-1 885.
YIN Rongrong,YIN Xueliang,CUI Mengdi,et al. Node evaluation method based on importance contribution in scale-free networks [J]. Journal of Software,2019,30(6): 1 875-1 885.
[9] 陈刘瑜,李希建,尹鑫,等. 复杂网络理论下燃气管网节点重要性分析方法[J]. 中国安全科学学报,2018,28(9): 74-80.
CHEN Liuyu,LI Xijian, YIN Xin,et al. Complex network theory based analysis of importance of urban gas pipeline network nodes[J]. China Safety Science Journal,2018,28(9): 74-80.
[10] 陈谦昱. 基于网络节点失效理论的交通运输网节点重要性评价的研究[D]. 北京:北京邮电大学,2012.
CHEN Qianyu. Researeh on importance of road network node based on key node failure [D]. Beijing:Beijing University of Posts and Telecommunications, 2012.
[11] BARKER K,RAMIREZ-MARQUEZ J E,ROCCO C M. Resilience-based network component importance measures[J]. Reliability Engineering & System Safety,2013,117: 89-97.
[12] 王镭鑫. 复杂网络中关键故障节点定位与恢复技术研究[D]. 西安:西安电子科技大学,2019.
WANG Leixin. Study on key fault node location and recovery technology in complex networks [D]. Xi'an:Xidian University, 2019.
[13] 崔琼,李建华,王宏,等. 基于节点修复的网络化指挥信息系统弹性分析模型[J]. 计算机科学,2018,45(4): 117-121.
CUI Qiong,LI Jianhua,WANG Hong,et al. Resilience analysis model of networked command information system based on node repairability [J]. Computer Science,2018,45(4): 117-121.
[14] 袁朋伟,宋守信,董晓庆,等. 城市轨道交通系统脆弱性因素辨识模型研究[J]. 交通运输系统工程与信息,2014,14(5): 110-118.
YUAN Pengwei,SONG Shouxin,DONG Xiaoqing,et al. Vulnerability identification model of urban rail transit system [J]. Journal of Transportation Systems Engineering and Information Technology,2014,14(5): 110-118.

Study on node importance and failure recovery of regional rail transit system

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 1

Recommended Articles

Metrics

Comments