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Resilience modeling and pre-hazard mitigation planning of transportation network to support post-earthquake emergency medical response

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  • Wu, Yangyang
  • Chen, Suren

Abstract

Earthquakes can cause traffic network disruption, extensive blacked-out traffic signals, considerable dislocation trips, and numerous injuries. To avoid injury-transporting private vehicles jamming on few routes on a first-come, first-served basis, existence of redundant routes is essential for transporting injured people to hospitals in a timely manner. To save as many lives as possible, a resilient transportation network with redundant paths between injured people and hospitals is crucial following major earthquakes. This study aims to support the emergency medical response through improving system resilience with a focus on redundancy by integrating post-hazard emergency response and pre-hazard mitigation planning holistically. First, a new methodology to quantify the resilience of transportation networks is developed with two main contributions: incorporating infrastructure fragility, seismic uncertainty, search-and-rescue activity, and life vitality decay of injured people to quantify the urgency of hospitalization trips; and introducing equivalent resistance theory to model the redundancy of road networks. Second, the feasibility of developing a resilience-based pre-hazard mitigation strategy of vulnerable infrastructures to proactively support post-earthquake emergency medical response is investigated. A comparison with existing resilience metrics is conducted to reveal the advantage of the proposed methodology. Shelby County, Tennessee, is selected as the prototype community to demonstrate the proposed framework.

Suggested Citation

  • Wu, Yangyang & Chen, Suren, 2023. "Resilience modeling and pre-hazard mitigation planning of transportation network to support post-earthquake emergency medical response," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
  • Handle: RePEc:eee:reensy:v:230:y:2023:i:c:s0951832022005336
    DOI: 10.1016/j.ress.2022.108918
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