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Post-Disaster Resilience Optimization for Road–Bridge Transportation Systems Considering Economic Loss

Author

Listed:
  • Jiangbin Zhao

    (School of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Detection and Control, Xi’an 710054, China)

  • Mengtao Liang

    (School of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Detection and Control, Xi’an 710054, China)

  • Zaoyan Zhang

    (School of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Detection and Control, Xi’an 710054, China)

  • Xiangang Cao

    (School of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Detection and Control, Xi’an 710054, China)

  • Qi Lu

    (School of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Detection and Control, Xi’an 710054, China)

  • Zhiqiang Cai

    (Department of Industrial Engineering, School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China)

Abstract

After a disaster, the recovery sequence of damaged bridges in a road–bridge transportation system greatly influences system restoration time and total economic loss. In this paper, the skew of recovery trajectory is introduced to evaluate the average restoration time, and the total economic loss is extended to consider the indirect loss, such as the energy consumption of detours or the emergency service fee. So, the post-disaster resilience optimization model is constructed by minimizing the total economic loss. The improved genetic algorithm is developed to obtain the optimal recovery scheme for damaged bridges by considering the recovery sequence and repair modes. The composition and influence factors of total economic loss are analyzed through three experiments. The experimental results show that the indirect loss accounts for approximately half of the economic loss, while the higher price of emergency service promotes the reduction of indirect loss using the expedited modes to repair damaged bridges. Moreover, to minimize the total economic loss, it is essential to design the optimal recovery scheme (repair sequence and repair mode) wisely to balance the conflicts between indirect loss and direct loss.

Suggested Citation

  • Jiangbin Zhao & Mengtao Liang & Zaoyan Zhang & Xiangang Cao & Qi Lu & Zhiqiang Cai, 2023. "Post-Disaster Resilience Optimization for Road–Bridge Transportation Systems Considering Economic Loss," Sustainability, MDPI, vol. 15(19), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14380-:d:1251028
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    References listed on IDEAS

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    1. Tsai-Yun Liao & Ta-Yin Hu & Yi-No Ko, 2018. "A resilience optimization model for transportation networks under disasters," 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. 93(1), pages 469-489, August.
    2. Magoua, Joseph Jonathan & Li, Nan, 2023. "The human factor in the disaster resilience modeling of critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    3. Sun, Li & D'Ayala, Dina & Fayjaloun, Rosemary & Gehl, Pierre, 2021. "Agent-based model on resilience-oriented rapid responses of road networks under seismic hazard," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
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