铁道运输与经济2026，Vol.48Issue(8)：30-39,10.DOI:10.16668/j.cnki.issn.1003-1421.20251114003
基于改进投影寻踪的城市轨道交通基础设施韧性评估研究
Research on Resilience Assessment of Urban Rail Transit Infrastructure Based on Improved Projection Pursuit
摘要
Abstract
Conducting resilience analysis and assessment of typical transportation infrastructure is the foundation for identifying critical facility nodes and enhancing the ability to respond to emergencies.To solve the problems of long operating time,accelerated equipment aging,and numerous safety hazards in urban rail transit infrastructure,starting from the structural characteristics and failure modes of the infrastructure,a fault tree model was established to analyze the failure mechanisms and probabilities of the facilities and identify the critical failure modes.The influencing factors of resilience were analyzed from three aspects:resistance,recovery,and adaptability,and based on this,a resilience assessment indicator system was constructed.The resilience levels of typical urban rail transit infrastructure were assessed using a projection pursuit evaluation algorithm based on improved particle swarm optimization,and vulnerable indicators were determined based on the optimal projection direction.Nanjing Metro Line 2 was taken as an example for verification.The results show that 40%of the stations have a high resilience level,reaching Grade Ⅳ;45%of the stations have a moderate resilience level;the remaining 15%of the stations have a low resilience level.The maintenance strategies proposed for the vulnerable indicators can provide an effective reference for improving the resilience of urban rail transit infrastructure.关键词
城市轨道交通/基础设施/韧性评估/投影寻踪模型/粒子群优化算法Key words
Urban Rail Transit/Infrastructure/Resilience Assessment/Projection Pursuit Model/Particle Swarm Optimization Algorithm分类
交通工程引用本文复制引用
李馨悦,徐永能..基于改进投影寻踪的城市轨道交通基础设施韧性评估研究[J].铁道运输与经济,2026,48(8):30-39,10.基金项目
国家自然科学基金项目(52072214) （52072214）
国家重点研发计划项目(2021YFE0194600) （2021YFE0194600）
