Understanding the Resilience of Urban Rail Transit:Concepts,Reviews,and Trends  

认知城市轨道交通的韧性--概念、方法与趋势

作　　者：Yun Wei Xin Yang Xiao Xiao Zhiao Ma Tianlei Zhu Fei Dou Jianjun Wu Anthony Chen Ziyou Gao 魏运;杨欣;肖骁;马智傲;朱天雷;豆飞;吴建军;Anthony Chend;高自友

机构地区：[1]Beijing Mass Transit Railway Operation Corporation Ltd.,Beijing 100044,China [2]School of Systems Science,Beijing Jiaotong University,Beijing 100044,China [3]Traffic Control Technology Corporation Ltd.,Beijing 100160,China [4]Department of Civil and Environmental Engineering,The Hong Kong Polytechnic University,Hong Kong 999077,China

出　　处：《Engineering》2024年第10期7-18,共12页工程（英文）

基　　金：supported by the National Natural Science Foundation of China(72288101,72331001,and 72071015);the Research Grants Council of the Hong Kong Special Administrative Region(PolyU 15222221);the 111 Center(B20071);an XPLORER PRIZE.

摘　　要：As the scale of urban rail transit(URT)networks expands,the study of URT resilience is essential for safe and efficient operations.This paper presents a comprehensive review of URT resilience and highlights potential trends and directions for future research.First,URT resilience is defined by three primary abilities:absorption,resistance,and recovery,and four properties:robustness,vulnerability,rapidity,and redundancy.Then,the metrics and assessment approaches for URT resilience were summarized.The metrics are divided into three categories:topology-based,characteristic-based,and performance-based,and the assessment methods are divided into four categories:topological,simulation,optimization,and datadriven.Comparisons of various metrics and assessment approaches revealed that the current research trend in URT resilience is increasingly favoring the integration of traditional methods,such as conventional complex network analysis and operations optimization theory,with new techniques like big data and intelligent computing technology,to accurately assess URT resilience.Finally,five potential trends and directions for future research were identified:analyzing resilience based on multisource data,optimizing train diagram in multiple scenarios,accurate response to passenger demand through new technologies,coupling and optimizing passenger and traffic flows,and optimal line design.

关 键 词：Urban rail transit Resilience assessment Resilience improvement Network disruption 

分 类 号：TN9[电子电信—信息与通信工程]