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Workforce/Population, Economy, Infrastructure, Geography, Hierarchy, and Time (WEIGHT): Reflections on the Plural Dimensions of Disaster Resilience

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  • Joost Santos
  • Christian Yip
  • Shital Thekdi
  • Sheree Pagsuyoin

Abstract

The concept of resilience and its relevance to disaster risk management has increasingly gained attention in recent years. It is common for risk and resilience studies to model system recovery by analyzing a single or aggregated measure of performance, such as economic output or system functionality. However, the history of past disasters and recent risk literature suggest that a single‐dimension view of relevant systems is not only insufficient, but can compromise the ability to manage risk for these systems. In this article, we explore how multiple dimensions influence the ability for complex systems to function and effectively recover after a disaster. In particular, we compile evidence from the many competing resilience perspectives to identify the most critical resilience dimensions across several academic disciplines, applications, and disaster events. The findings demonstrate the need for a conceptual framework that decomposes resilience into six primary dimensions: workforce/population, economy, infrastructure, geography, hierarchy, and time (WEIGHT). These dimensions are not typically addressed holistically in the literature; often they are either modeled independently or in piecemeal combinations. The current research is the first to provide a comprehensive discussion of each resilience dimension and discuss how these dimensions can be integrated into a cohesive framework, suggesting that no single dimension is sufficient for a holistic analysis of a disaster risk management. Through this article, we also aim to spark discussions among researchers and policymakers to develop a multicriteria decision framework for evaluating the efficacy of resilience strategies. Furthermore, the WEIGHT dimensions may also be used to motivate the generation of new approaches for data analytics of resilience‐related knowledge bases.

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  • Joost Santos & Christian Yip & Shital Thekdi & Sheree Pagsuyoin, 2020. "Workforce/Population, Economy, Infrastructure, Geography, Hierarchy, and Time (WEIGHT): Reflections on the Plural Dimensions of Disaster Resilience," Risk Analysis, John Wiley & Sons, vol. 40(1), pages 43-67, January.
    • Handle: RePEc:wly:riskan:v:40:y:2020:i:1:p:43-67
    DOI: 10.1111/risa.13186
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    References listed on IDEAS

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    Cited by:

    1. Lianlong Ma & Dong Huang & Xinyu Jiang & Xiaozhou Huang, 2022. "Analysis of Influencing Factors of Urban Community Function Loss in China under Flood Disaster Based on Social Network Analysis Model," IJERPH, MDPI, vol. 19(17), pages 1-14, September.
    2. Xinghua Feng & Yan Tang & Manyu Bi & Zeping Xiao & Yexi Zhong, 2022. "Analysis of Urban Resilience in Water Network Cities Based on Scale-Density-Morphology-Function (SDMF) Framework: A Case Study of Nanchang City, China," Land, MDPI, vol. 11(6), pages 1-23, June.
    3. Joost Santos, 2020. "Reflections on the impact of “flatten the curve” on interdependent workforce sectors," Environment Systems and Decisions, Springer, vol. 40(2), pages 185-188, June.
    4. Kourtit, Karima & Nijkamp, Peter & Banica, Alexandru, 2023. "An analysis of natural disasters’ effects – A global comparative study of ‘Blessing in Disguise’," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    5. Poulin, Craig & Kane, Michael B., 2021. "Infrastructure resilience curves: Performance measures and summary metrics," Reliability Engineering and System Safety, Elsevier, vol. 216(C).

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