Resilience assessment of an urban rail transit network under natural disasters

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI:10.1016/j.trd.2024.104587

Jinqu Chen , Xiaowei Liu , Xinyue Hu , Bo Du , Yong Yin

{"title":"Resilience assessment of an urban rail transit network under natural disasters","authors":"Jinqu Chen , Xiaowei Liu , Xinyue Hu , Bo Du , Yong Yin","doi":"10.1016/j.trd.2024.104587","DOIUrl":null,"url":null,"abstract":"<div><div>Assessment of the resilience of an urban rail transit (URT) network under natural disasters is of practical importance, especially with the intensification of global warming. This study develops a train schedule-based resilience assessment model to assess the resilience of a URT network under natural disasters, addressing a critical gap in existing research that often ignores the influence of the train schedule on resilience assessment. Numerical experiments on the Chengdu Metro network demonstrate that the travel time-based performance indicator can effectively evaluate the network performance, revealing that the train schedule has a significant influence on the network’s resilience. Counties Shuangliu and Wuhou are identified as the most important county-level administrative districts in Chengdu during rainstorms and strong wind events, respectively. Furthermore, this study explores the influence of parameters on the network’s resilience and provides some policy implications based on the results obtained from the sensitivity analysis.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104587"},"PeriodicalIF":7.3000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1361920924005455","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}

引用次数: 0

Abstract

Assessment of the resilience of an urban rail transit (URT) network under natural disasters is of practical importance, especially with the intensification of global warming. This study develops a train schedule-based resilience assessment model to assess the resilience of a URT network under natural disasters, addressing a critical gap in existing research that often ignores the influence of the train schedule on resilience assessment. Numerical experiments on the Chengdu Metro network demonstrate that the travel time-based performance indicator can effectively evaluate the network performance, revealing that the train schedule has a significant influence on the network’s resilience. Counties Shuangliu and Wuhou are identified as the most important county-level administrative districts in Chengdu during rainstorms and strong wind events, respectively. Furthermore, this study explores the influence of parameters on the network’s resilience and provides some policy implications based on the results obtained from the sensitivity analysis.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Transportation Research Part D-transport and Environment 工程技术-运输科技

CiteScore

14.40

自引率

9.20%

发文量

314

审稿时长

39 days

期刊介绍： Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution. We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.