Urban rail transit resilience under different operation schemes: A percolation-based approach
To assess the resilience of urban rail transit (URT) systems under various operational conditions accurately and enhance their operation, this study develops a percolation model for nonfree flow transportation networks on the basis of percolation theory, which integrates multisource information and...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-12-01
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| Series: | Communications in Transportation Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772424725000174 |
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| author | Tianlei Zhu Xin Yang Yun Wei Anthony Chen Jianjun Wu |
| author_facet | Tianlei Zhu Xin Yang Yun Wei Anthony Chen Jianjun Wu |
| author_sort | Tianlei Zhu |
| collection | DOAJ |
| description | To assess the resilience of urban rail transit (URT) systems under various operational conditions accurately and enhance their operation, this study develops a percolation model for nonfree flow transportation networks on the basis of percolation theory, which integrates multisource information and operational characteristics. Our model accounts for the state evolution of different hierarchical structures within the network and identifies nonlinear features. Specifically, we observed significant percolation transitions in the URT network, with distinct differences in critical percolation thresholds at different times, leading to multistate behavior. Network bottlenecks spatially shift with network phase transitions, exhibiting power-law frequency characteristics. On the basis of the full-day resilience assessment results, we analyzed the impact of different operational schemes on network resilience during the morning peak, the period with the lowest resilience. The results demonstrate that our resilience analysis framework effectively evaluates URT network resilience, providing theoretical support for enhancing operational management efficiency and accident prevention measures. |
| format | Article |
| id | doaj-art-48365afd5529471ea18730bbfa7db746 |
| institution | OA Journals |
| issn | 2772-4247 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Communications in Transportation Research |
| spelling | doaj-art-48365afd5529471ea18730bbfa7db7462025-08-20T01:55:11ZengElsevierCommunications in Transportation Research2772-42472025-12-01510017710.1016/j.commtr.2025.100177Urban rail transit resilience under different operation schemes: A percolation-based approachTianlei Zhu0Xin Yang1Yun Wei2Anthony Chen3Jianjun Wu4School of Systems Science, Beijing Jiaotong University, Beijing, 100044, ChinaSchool of Systems Science, Beijing Jiaotong University, Beijing, 100044, China; Corresponding author.Beijing Mass Transit Railway Operation Corporation Ltd., Beijing, 100044, ChinaDepartment of Civil and Environmental Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, ChinaSchool of Economics and Management, Dalian University of Technology, Dalian, 116024, ChinaTo assess the resilience of urban rail transit (URT) systems under various operational conditions accurately and enhance their operation, this study develops a percolation model for nonfree flow transportation networks on the basis of percolation theory, which integrates multisource information and operational characteristics. Our model accounts for the state evolution of different hierarchical structures within the network and identifies nonlinear features. Specifically, we observed significant percolation transitions in the URT network, with distinct differences in critical percolation thresholds at different times, leading to multistate behavior. Network bottlenecks spatially shift with network phase transitions, exhibiting power-law frequency characteristics. On the basis of the full-day resilience assessment results, we analyzed the impact of different operational schemes on network resilience during the morning peak, the period with the lowest resilience. The results demonstrate that our resilience analysis framework effectively evaluates URT network resilience, providing theoretical support for enhancing operational management efficiency and accident prevention measures.http://www.sciencedirect.com/science/article/pii/S2772424725000174Urban rail transit (URT)PercolationResilience assessmentNetwork bottlenecksOperation schemes |
| spellingShingle | Tianlei Zhu Xin Yang Yun Wei Anthony Chen Jianjun Wu Urban rail transit resilience under different operation schemes: A percolation-based approach Communications in Transportation Research Urban rail transit (URT) Percolation Resilience assessment Network bottlenecks Operation schemes |
| title | Urban rail transit resilience under different operation schemes: A percolation-based approach |
| title_full | Urban rail transit resilience under different operation schemes: A percolation-based approach |
| title_fullStr | Urban rail transit resilience under different operation schemes: A percolation-based approach |
| title_full_unstemmed | Urban rail transit resilience under different operation schemes: A percolation-based approach |
| title_short | Urban rail transit resilience under different operation schemes: A percolation-based approach |
| title_sort | urban rail transit resilience under different operation schemes a percolation based approach |
| topic | Urban rail transit (URT) Percolation Resilience assessment Network bottlenecks Operation schemes |
| url | http://www.sciencedirect.com/science/article/pii/S2772424725000174 |
| work_keys_str_mv | AT tianleizhu urbanrailtransitresilienceunderdifferentoperationschemesapercolationbasedapproach AT xinyang urbanrailtransitresilienceunderdifferentoperationschemesapercolationbasedapproach AT yunwei urbanrailtransitresilienceunderdifferentoperationschemesapercolationbasedapproach AT anthonychen urbanrailtransitresilienceunderdifferentoperationschemesapercolationbasedapproach AT jianjunwu urbanrailtransitresilienceunderdifferentoperationschemesapercolationbasedapproach |