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Pre-disaster investment decisions for strengthening the Chinese railway system under earthquakes

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  • Yan, Yongze
  • Hong, Liu
  • He, Xiaozheng
  • Ouyang, Min
  • Peeta, Srinivas
  • Chen, Xueguang

Abstract

This study proposes a framework to determine the investment plan to strengthen a railway system which is subject to earthquake hazard. The proposed framework includes four parts: (1) Construct a two-layer (physical layer and service layer) railway network representation; (2) Generate earthquake scenarios based on historical earthquake data; (3) Formulate an investment optimization model to minimize the expected railway system service loss subjected to an investment budget constraint, where the service loss is quantified based on the affected train flow; (4) Solve the optimization model by using Genetic Algorithm. Taking the Chinese railway system (CRS) as an example, the proposed framework has been applied and the results show that the solution of the proposed framework is more responsive to the earthquake impact on railway system compared to topology-based methods. Note that the proposed framework can also be extended to identify pre-disaster investment plans for other transportation systems under natural disasters.

Suggested Citation

  • Yan, Yongze & Hong, Liu & He, Xiaozheng & Ouyang, Min & Peeta, Srinivas & Chen, Xueguang, 2017. "Pre-disaster investment decisions for strengthening the Chinese railway system under earthquakes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 39-59.
    • Handle: RePEc:eee:transe:v:105:y:2017:i:c:p:39-59
    DOI: 10.1016/j.tre.2017.07.001
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    7. Bellè, Andrea & Abdin, Adam F. & Fang, Yi-Ping & Zeng, Zhiguo & Barros, Anne, 2023. "A data-driven distributionally robust approach for the optimal coupling of interdependent critical infrastructures under random failures," European Journal of Operational Research, Elsevier, vol. 309(2), pages 872-889.
    8. Wenjuan Sun & Paolo Bocchini & Brian D. Davison, 2020. "Applications of artificial intelligence for disaster management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 2631-2689, September.
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    11. Zhou, Yaoming & Wang, Junwei & Sheu, Jiuh-Biing, 2019. "On connectivity of post-earthquake road networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 123(C), pages 1-16.
    12. Xiaozheng He & Hong Zheng & Srinivas Peeta & Yongfu Li, 2018. "Network Design Model to Integrate Shelter Assignment with Contraflow Operations in Emergency Evacuation Planning," Networks and Spatial Economics, Springer, vol. 18(4), pages 1027-1050, December.
    13. Hong, Liu & Ouyang, Min & Xu, Min & Hu, Peipei, 2020. "Time-varied accessibility and vulnerability analysis of integrated metro and high-speed rail systems," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    14. Wang, Zhaojing & Jia, Limin & Ma, Xiaoping & Sun, Xuehui & Tang, Qianxue & Qian, Sina, 2022. "Accessibility-oriented performance evaluation of high-speed railways using a three-layer network model," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    15. Yingliang Zhou & Qiwei Jiang & Jin Qin, 2019. "Pre-Disaster Retrofit Decisions for Sustainable Transportation Systems in Urban Areas," Sustainability, MDPI, vol. 11(15), pages 1-18, July.

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