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

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

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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 abil-ities:absorption,resistance,and recovery,and four properties:robustness,vulnerability,rapidity,and redundancy.Then,the metrics and assessment approaches for URT resilience were summarized.The met-rics 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 data-driven.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 conven-tional 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,opti-mizing train diagram in multiple scenarios,accurate response to passenger demand through new tech-nologies,coupling and optimizing passenger and traffic flows,and optimal line design.

Urban rail transitResilience assessmentResilience improvementNetwork disruption

Yun Wei、Xin Yang、Xiao Xiao、Zhiao Ma、Tianlei Zhu、Fei Dou、Jianjun Wu、Anthony Chen、Ziyou Gao

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Beijing Mass Transit Railway Operation Corporation Ltd.,Beijing 100044,China

School of Systems Science,Beijing Jiao tong University,Beijing 100044,China

Traffic Control Technology Corporation Ltd.,Beijing 100160,China

Department of Civil and Environmental Engineering,The Hong Kong Polytechnic University,Hong Kong 999077,China

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaResearch Grants Council of the Hong Kong Special Administrative Region111 Centeran XPLORER PRIZE

722881017233100172071015PolyU 15222221B20071

2024

工程(英文)

工程(英文)

CSTPCDEI
ISSN:2095-8099
年,卷(期):2024.41(10)