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Railway operation recovery method of regional high-speed railway based on optimal resilience after earthquakes

Author

Listed:
  • Tang, Yumeng
  • Li, Shuang
  • Zhai, Changhai
  • Zhao, Jianjun

Abstract

Suffer from a destructive earthquake, the normal operation of the high-speed railway (HSR) system would be interrupted, and infrastructure outage and the demand for special trains for disaster relief would both come to the HSR system. The paper proposes a Railway operation Recovery method based on Optimal Resilience after earthquakes (RROR) as a process to improve the operation of the HSR system after earthquakes. It combines train rescheduling and individual passenger rerouting. Based on the maximum capacity of the HSR infrastructure including main tracks and arrival-departure tracks in stations, it formulates the optimal scheme for the rerouting of passengers and rescheduling of the originally planned trains, additional passenger trains, and special trains for disaster relief, and captures the time-related network performance during the post-earthquake recovery period. The rolling horizon approach (RHA) is introduced as a solution to large-scale RROR. The performance of the proposed method has been demonstrated in the case of the HSR network in the Greater Bay Area (GBA) of China.

Suggested Citation

  • Tang, Yumeng & Li, Shuang & Zhai, Changhai & Zhao, Jianjun, 2023. "Railway operation recovery method of regional high-speed railway based on optimal resilience after earthquakes," Reliability Engineering and System Safety, Elsevier, vol. 238(C).
    • Handle: RePEc:eee:reensy:v:238:y:2023:i:c:s0951832023003149
    DOI: 10.1016/j.ress.2023.109400
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    Cited by:

    1. Xiong, Lijun & Zhou, Wangbao & Jiang, Lizhong, 2026. "A novel risk transfer-control and stiffness coordination strategy for high-speed railway simply supported beam bridges under strong earthquakes," Reliability Engineering and System Safety, Elsevier, vol. 267(PA).
    2. Wang, Feng & Tian, Jin & Ling, Jiamu & Chen, Zian & Xu, Zhengguo, 2025. "A multi-stage resilience analysis framework of critical infrastructure systems based on component importance measures," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
    3. Lou, Ping & Shi, Tao & Yang, T.Y., 2025. "Reliability analysis for running safety of vehicle on slab track via an improved second-order fourth-moment approach," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    4. Li, Tao & Zhu, Ruili & Yang, Xiaojia & Zheng, Qianqian, 2026. "Comprehensive resilience assessment of high-speed rail network in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 204(C).
    5. Zhang, Hui & Xu, Min & Ouyang, Min, 2024. "A multi-perspective functionality loss assessment of coupled railway and airline systems under extreme events," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    6. Zhou, Gaoyang & Zhu, Zhihui & Zheng, Weiqi & Biondini, Fabio, 2026. "Seismic traffic risk assessment method for high-speed railway bridge networks based on multi-level running reliability," Reliability Engineering and System Safety, Elsevier, vol. 267(PB).
    7. Wu, Lingxu & Zhou, Wangbao & Zhong, Tianxuan & Jiang, Lizhong & Wen, Tianxing & Xiong, Lijun & Yi, Jiang, 2025. "Uncertainty quantification in predicting seismic response of high-speed railway simply-supported bridge system based on bootstrap," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
    8. Li, Xinxin & Huang, Wencheng, 2025. "Resilience quantification method of high-speed railway train diagram under operation section interference: Strategies and practices," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
    9. Zhu, Jingbao & Sun, Wentao & Li, Shanyou & Yao, Kunpeng & Song, Jindong, 2024. "Threshold-based earthquake early warning for high-speed railways using deep learning," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
    10. Xiao, Yunjiang & Li, Yang & Liu, Weidong & Wang, Zhiyuan & Chen, Jun & Wang, Wei, 2025. "Resilience assessment of High-speed railway networks from the spatio-temporal perspective: A case study in Jiangsu Province, China," Reliability Engineering and System Safety, Elsevier, vol. 259(C).
    11. Wu, Lingxu & Zhou, Wangbao & Jiang, Lizhong & Liu, Shaohui & Hou, Yu, 2026. "Probabilistic prediction method for seismic response and post-earthquake capacity of regional high-speed railway bridges," Reliability Engineering and System Safety, Elsevier, vol. 265(PB).
    12. Song, Zhuoru & Zhai, Changhai & Liu, Jin & Pei, Shunshun & Zhang, Cheng, 2025. "Functionality assessment and improvement of medical buildings during the emergency: Incorporating resource restructuring and patient priority scheduling," Reliability Engineering and System Safety, Elsevier, vol. 262(C).
    13. Yang, Zhisen & Liu, Xintong & Yang, Zaili & Yu, Qing, 2026. "A novel data-driven risk assessment framework for improved inspection efficiency of port state control," Reliability Engineering and System Safety, Elsevier, vol. 266(PA).
    14. Zhu, Yimo & Zhang, Qian-Bing, 2026. "Lifecycle resilience and sustainability trade-offs for underground infrastructure under multi-hazard scenarios," Reliability Engineering and System Safety, Elsevier, vol. 267(PA).
    15. Wang, Ying & Zhao, Ou & Zhang, Limao, 2024. "Multiplex networks in resilience modeling of critical infrastructure systems: A systematic review," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
    16. Canca, David & Mesa, Juan A., 2026. "A methodology for the analysis of timetables’ resilience in railway rapid transit lines: The case of regular timetables," Reliability Engineering and System Safety, Elsevier, vol. 268(C).
    17. Cai, Xiaopei & Wang, Yuqi & Tang, Xueyang & Wang, Yi & Wang, Tao, 2026. "PEDRA-VTB: A precision-efficient framework for dynamic reliability assessment of vehicle-track-bridge system under extreme disasters," Reliability Engineering and System Safety, Elsevier, vol. 267(PB).

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