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   Dargin, Jennifer S. ; Mostafavi, Ali ( June 2020 , PLOS ONE)

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   https://doi.org/10.1111/mice.12606  

   Sharma, Neetesh ; Tabandeh, Armin ; Gardoni, Paolo ( August 2020 , Computer-Aided Civil and Infrastructure Engineering)

   Reducing hazard‐induced disruptions to infrastructure functionality is cardinal to regional resilience. Specifically, effective strategies to enhance regional resilience require: (a) developing mathematical models for infrastructure recovery; (b) quantifying resilience associated with the developed recovery process; and (c) developing a computationally manageable approach for resilience optimization. This paper proposes a rigorous mathematical formulation to model recovery, quantify resilience, and optimize the resilience of large‐scale infrastructure. Specifically, a multiscale model of the recovery process is proposed that significantly reduces the computational cost, while favoring practical and easily manageable recovery schedules. To quantify regional resilience, resilience metrics are proposed that capture the temporal and spatial variations of the recovery process. The paper then formulates a multiobjective optimization problem that aims to improve regional resilience in terms of the proposed metrics, while minimizing the recovery cost. Finally, the paper illustrates the proposed formulation by considering interdependent infrastructure in Shelby County, Tennessee, United States.

    

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3. COVID-19 as a Harbinger of Transforming Infrastructure Resilience

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5. Tracking the post-disaster evolution of water infrastructure resilience: A study of the 2021 Texas winter storm

   https://doi.org/10.1016/j.scs.2023.104417  

   Tiedmann, Helena R. ; Spearing, Lauryn A. ; Castellanos, Sergio ; Stephens, Keri K. ; Sela, Lina ; Faust, Kasey M. ( January 2023 , Sustainable Cities and Society)

   In February 2021, severe winter weather in Texas caused widespread electrical blackouts, water outages, and boil water notices. Water systems faced extensive challenges due to cascading failures across multiple interde- pendent infrastructure systems. Water utilities have since made considerable progress in improving resilience to extreme events, but ongoing challenges remain. Through a qualitative analysis of semi-structured interviews with 20 large water utilities in Texas, this study tracks the evolution of water infrastructure resilience across three phases: the storm and immediate aftermath, the subsequent one-year period, and the “new normal” in the post-disaster environment. We consider five dimensions of resilience—economic, environmental, governance, infrastructure, and social—to identify where solutions have been implemented and where barriers remain. This study contributes to efforts throughout the United States to build more robust water systems by capturing lessons learned from Winter Storm Uri and providing recommendations to improve hazard preparedness, resilience, and public health. 

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