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A Model of Build Back Better Utilization: Long-Term Recovery Groups and Post-Disaster Housing Recovery

Author

Listed:
  • Eduardo Landaeta

    (Faculty Affiliated, Institute for Coastal Adaptation and Resilience, Old Dominion University, Norfolk, VA 23529, USA)

  • Jesse Richman

    (Department of Political Science and Geography, Old Dominion University, Norfolk, VA 23529, USA)

Abstract

Housing recovery, especially for vulnerable populations, can be a challenging process. Questions regarding whether to rebuild damaged housing and whether to restore it to its previous state or to build back better must be answered. In the United States, Long-Term Recovery Groups (LTRGs) play a crucial role in channeling assistance to vulnerable community members as they embark on housing recovery. However, the experiences of LTRGs have been understudied. To address this gap, the study utilizes interviews with a diverse range of LTRG members and develops an agent-based model following the Overview, Design concepts, and Details (ODD) protocol. The results highlight the consequences of adopting or not adopting a Build Back Better (BBB) approach in post-disaster recovery. Communities do not uniformly adhere to the same reconstruction approach, as evidenced by insights from LTRG interviews. BBB implementation is uneven in US LTRGs. BBB has higher initial costs but lower long-term costs because it increases community resilience and sustainability.

Suggested Citation

  • Eduardo Landaeta & Jesse Richman, 2023. "A Model of Build Back Better Utilization: Long-Term Recovery Groups and Post-Disaster Housing Recovery," Sustainability, MDPI, vol. 15(23), pages 1-16, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16424-:d:1290814
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    References listed on IDEAS

    as
    1. Susan Cutter, 2016. "The landscape of disaster resilience indicators in the USA," 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. 80(2), pages 741-758, January.
    2. Brian Sauser & Clifton Baldwin & Saba Pourreza & Wesley Randall & David Nowicki, 2018. "Resilience of small- and medium-sized enterprises as a correlation to community impact: an agent-based modeling approach," 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. 90(1), pages 79-99, January.
    3. Saeed Moradi & Ali Nejat, 2020. "RecovUS: An Agent-Based Model of Post-Disaster Household Recovery," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(4), pages 1-13.
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