Modelling, Measuring, and Visualising Community Resilience: A Systematic Review
Hoang Long Nguyen and
Rajendra Akerkar
Additional contact information
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
Sustainability, 2020, vol. 12, issue 19, 1-26
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.
Keywords: community resilience; systematic overview; resilience modelling; knowledge representation; resilience assessment; information visualisation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (14)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:19:p:7896-:d:418379
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