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Agent-based model on resilience-oriented rapid responses of road networks under seismic hazard

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  • Sun, Li
  • D'Ayala, Dina
  • Fayjaloun, Rosemary
  • Gehl, Pierre

Abstract

This paper explores a new pathway towards seismic resilience of Road Networks (RNs) under earthquake hazards, by leveraging post-shock rapid responses as the key to minimize the functionality losses of RNs, especially in the immediate aftermath of earthquakes. Accordingly, an agent-based modelling (ABM) framework is developed to enable the nuanced examination on resilience of earthquake-damaged RNs, when different system repair approaches are considered. In this framework, those different approaches are predicated on the damage level of individual bridges and on the system recovery timeline, i.e. the response to rehabilitation need is considered as a function of the time elapsed from the event. Each approach is represented by a different agent, whose behaviour is shaped by a set of pre-defined behavioural attributes, while the interplay among those agents is also accounted for, during the entirety of post-shock recovery campaigns. To demonstrate its applicability, the ABM framework is applied to a real-world RN across Luchon, France. As shown by the case-study, post-shock rapid responses are found to be a viable strategy to increase the recovery rate of RNs’ functionality in the immediate-, and mid-term aftermath of damaging earthquakes, and ultimately, to improve the seismic resilience thereof.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:reensy:v:216:y:2021:i:c:s095183202100538x
    DOI: 10.1016/j.ress.2021.108030
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    References listed on IDEAS

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    Cited by:

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    3. Tong Wang & Yang Liu & Qiyuan Li & Peng Du & Xiaogong Zheng & Qingfei Gao, 2023. "State-of-the-Art Review of the Resilience of Urban Bridge Networks," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
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    5. Taghizadeh, Mehdi & Mahsuli, Mojtaba & Poorzahedy, Hossain, 2023. "Probabilistic framework for evaluating the seismic resilience of transportation systems during emergency medical response," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    6. Yin, Jiateng & Ren, Xianliang & Liu, Ronghui & Tang, Tao & Su, Shuai, 2022. "Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
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    8. Fuad Dellany Shubandrio & Ahmad Mohamad El-Maissi & Moustafa Moufid Kassem & Masrilayanti Masrilayanti & Siti Rahyla Rahmat & Fadzli Mohamed Nazri, 2022. "Evaluating the Interdependencies of Infrastructure Critical Systems during Earthquake Event: A Case Study for Padang City," Sustainability, MDPI, vol. 14(23), pages 1-27, November.
    9. Kim, Gibeom & Heo, Gyunyoung, 2023. "Agent-based radiological emergency evacuation simulation modeling considering mitigation infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    10. Wang, Jie & Zhang, Yangyi & Li, Shunlong & Xu, Wencheng & Jin, Yao, 2024. "Directed network-based connectivity probability evaluation for urban bridges," Reliability Engineering and System Safety, Elsevier, vol. 241(C).

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