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Selecting Indicators for Assessing Community Sustainable Resilience
Author(s) -
GillespieMarthaler Leslie,
Nelson Katherine,
Baroud Hiba,
Abkowitz Mark
Publication year - 2019
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/risa.13344
Subject(s) - operationalization , resilience (materials science) , vulnerability (computing) , variety (cybernetics) , risk analysis (engineering) , process (computing) , environmental resource management , sustainability , identification (biology) , popularity , community resilience , computer science , set (abstract data type) , sustainable development , process management , adaptation (eye) , vulnerability assessment , business , psychological resilience , computer security , environmental science , political science , ecology , artificial intelligence , resource (disambiguation) , psychology , philosophy , law , computer network , biology , operating system , epistemology , thermodynamics , programming language , physics , neuroscience , psychotherapist
Communities are complex systems subject to a variety of hazards that can result in significant disruption to critical functions. Community resilience assessment is rapidly gaining popularity as a means to help communities better prepare for, respond to, and recover from disruption. Sustainable resilience, a recently developed concept, requires communities to assess system‐wide capability to maintain desired performance levels while simultaneously evaluating impacts to resilience due to changes in hazards and vulnerability over extended periods of time. To enable assessment of community sustainable resilience, we review current literature, consolidate available indicators and metrics, and develop a classification scheme and organizational structure to aid in identification, selection, and application of indicators within a dynamic assessment framework. A nonduplicative set of community sustainable resilience indicators and metrics is provided that can be tailored to a community's needs, thereby enhancing the ability to operationalize the assessment process.