Resilience Enhancement of an Urban Rail Transit Network by Jointly Optimizing Restoration Sequences and Bus Bridging Services

Enhancing the urban rail transit network (URT) resilience under disruptions is crucial for improving its ability to respond to such events. However, prior studies have rarely enhanced the URT network resilience by jointly optimizing the restoration sequences of failed components and bus bridging services (BBSs). To address this gap, a URT network resilience enhancement strategy combining a restoration sequence and extended BBS optimization (ESCRB strategy) is developed herein to improve the URT network resilience under disruptions. The real-world Chengdu subway network is utilized as an example to validate the effectiveness of the proposed ESCRB strategy. Results imply that the travel weight between stations is critical in assessing the network resilience. The proposed ESCRB strategy can effectively enhance the URT network resilience by simultaneously optimizing restoration sequences and extended BBSs. After employing the ESCRB strategy, the network resilience metrics under random and deliberate disruptions are decreased by 83.96% and 81.80%, respectively. Finally, a sensitivity analysis is conducted to discuss the impact of parameters on the effectiveness of the formulated ESCRB strategy, and some practical implications are provided to improve the URT network resilience.

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Publication Details

Journal
Journal of Transportation Engineering Part A Systems
Published
2026-02-24
DOI
https://doi.org/10.1061/jtepbs.teeng-9530
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
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article

Resilience Enhancement of an Urban Rail Transit Network by Jointly Optimizing Restoration Sequences and Bus Bridging Services

Xiaowei Liu, Jinqu Chen, Yong Yin, Shaochuan Zhu et al.
Journal of Transportation Engineering Part A Systems
Infrastructure Resilience and Vulnerability Analysis
article

Resilience Enhancement of an Urban Rail Transit Network by Jointly Optimizing Restoration Sequences and Bus Bridging Services

Xiaowei Liu, Jinqu Chen, Yong Yin, Shaochuan Zhu, Bo Du, Yun Liu, Mengru Ou
article en

Abstract

Enhancing the urban rail transit network (URT) resilience under disruptions is crucial for improving its ability to respond to such events. However, prior studies have rarely enhanced the URT network resilience by jointly optimizing the restoration sequences of failed components and bus bridging services (BBSs). To address this gap, a URT network resilience enhancement strategy combining a restoration sequence and extended BBS optimization (ESCRB strategy) is developed herein to improve the URT network resilience under disruptions. The real-world Chengdu subway network is utilized as an example to validate the effectiveness of the proposed ESCRB strategy. Results imply that the travel weight between stations is critical in assessing the network resilience. The proposed ESCRB strategy can effectively enhance the URT network resilience by simultaneously optimizing restoration sequences and extended BBSs. After employing the ESCRB strategy, the network resilience metrics under random and deliberate disruptions are decreased by 83.96% and 81.80%, respectively. Finally, a sensitivity analysis is conducted to discuss the impact of parameters on the effectiveness of the formulated ESCRB strategy, and some practical implications are provided to improve the URT network resilience.

Journal of Transportation Engineering Part A SystemsVol. 152(5)
Griffith University (AU), Southwest Jiaotong University (CN)
Sustainable cities and communities
Openalex Percentile: Top 45%
Infrastructure Resilience and Vulnerability Analysis
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