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Modelling, Measuring, and Visualising Community Resilience: A Systematic Review

Author

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  • Hoang Long Nguyen

    (Big Data Research Group, Western Norway Research Institute, P.O.Box 163, NO-6851 Sogndal, Norway)

  • Rajendra Akerkar

    (Big Data Research Group, Western Norway Research Institute, P.O.Box 163, NO-6851 Sogndal, Norway)

Abstract

The concept of community resilience receives much attention in studies and applications due to its ability to provide preparedness against hazards, to protect our life against risks, and to recover to stable living conditions. Nevertheless, community resilience is complex, contextual, multifaceted, and therefore hard to define, recognise, and operationalise. An essential advantage of having a complete process for community resilience is the capacity to be aware of and respond appropriately in times of adversity. A three-step process constituting of modelling, measurement, and visualisation is crucial to determine components, to assess value, and to represent information of community resilience, respectively. The goal of this review is to offer a general overview of multiple perspectives for modelling, measuring, and visualising community resilience derived from related and emerging studies, projects, and tools. By engaging throughout the entire process, which involves three sequential steps as we mentioned above, communities can discover important components of resilience, optimise available local and natural resources, and mitigate the impact of impairments effectively and efficiently. To this end, we conduct a systematic review of 77 different literature records published from 2000 to 2020, concentrating on five research questions. We believe that researchers, practitioners, and policymakers can utilise this paper as a potential reference and a starting point to surpass current hindrances as well as to sharpen their future research directions.

Suggested Citation

  • Hoang Long Nguyen & Rajendra Akerkar, 2020. "Modelling, Measuring, and Visualising Community Resilience: A Systematic Review," Sustainability, MDPI, vol. 12(19), pages 1-26, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:7896-:d:418379
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    3. Sarah L. Jackson & Sahar Derakhshan & Leah Blackwood & Logan Lee & Qian Huang & Margot Habets & Susan L. Cutter, 2021. "Spatial Disparities of COVID-19 Cases and Fatalities in United States Counties," IJERPH, MDPI, vol. 18(16), pages 1-21, August.
    4. Vanda Ningrum & Chotib & Athor Subroto, 2022. "Urban Community Resilience Amidst the Spreading of Coronavirus Disease (COVID-19): A Rapid Scoping Review," Sustainability, MDPI, vol. 14(17), pages 1-12, September.
    5. Eriko Miyama, 2023. "Regional Agriculture and Social Capital after Massive Natural Disasters: The Case of Miyagi Prefecture after the Great East Japan Earthquake," Sustainability, MDPI, vol. 15(15), pages 1-15, July.
    6. Fabio Bento & Kalliu Carvalho Couto, 2021. "A Behavioral Perspective on Community Resilience during the COVID-19 Pandemic: The Case of Paraisópolis in São Paulo, Brazil," Sustainability, MDPI, vol. 13(3), pages 1-18, January.
    7. Jelena Budak & Edo Rajh & Sunčana Slijepčević & Bruno Škrinjarić, 2021. "Conceptual Research Framework of Consumer Resilience to Privacy Violation Online," Sustainability, MDPI, vol. 13(3), pages 1-14, January.
    8. Morven G. McEachern & Gary Warnaby & Caroline Moraes, 2021. "The Role of Community-Led Food Retailers in Enabling Urban Resilience," Sustainability, MDPI, vol. 13(14), pages 1-17, July.
    9. Karolina Dmochowska-Dudek & Marcin Wójcik, 2022. "Socio-Economic Resilience of Poland’s Lignite Regions," Energies, MDPI, vol. 15(14), pages 1-18, July.
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    11. Grazia Brunetta & Alessandra Faggian & Ombretta Caldarice, 2021. "Bridging the Gap: The Measure of Urban Resilience," Sustainability, MDPI, vol. 13(3), pages 1-4, January.

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