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dc.contributor.authorChloe Johansen
dc.contributor.authorJennifer Horney
dc.contributor.authorIris Tien
dc.date.accessioned2017-12-16T09:05:54Z
dc.date.available2017-12-16T09:05:54Z
dc.date.issued2017
dc.identifier.other%28ASCE%29IS.1943-555X.0000329.pdf
dc.identifier.urihttp://138.201.223.254:8080/yetl1/handle/yetl/4238495
dc.description.abstractThe growing risk of natural and artificial or manufactured hazards combined with a lack of community preparedness have revealed the necessity for comprehensive and effective metrics for evaluating and improving a community’s resilience, i.e., the ability of communities to prepare for, withstand, and recover from disasters. In this paper, the authors review existing community resilience metrics and tools, classifying them into one of three main categories: community-level, sector-specific, or sociological. The paper provides short descriptions of each metric and comparisons across metrics within the three main categories and across classes. The authors assess the strengths and limitations of these metrics, discuss challenges in improving community resilience, and provide recommendations for the development of new measures of resilience. The paper concludes with an outlook on the future of community resilience, particularly the need for metrics that apply across hazards, geographic areas, and factors affecting resilience. The authors propose that effective metrics are characterized by: breadth, measures that address community resilience comprehensively; utility, measures that are able to be utilized by the relevant entities to undertake actions to improve resilience; and scientific merit, measures that are scientifically validated through statistical methods, case studies, and fieldwork.
dc.publisherAmerican Society of Civil Engineers
dc.titleMetrics for Evaluating and Improving Community Resilience
dc.typeJournal Paper
dc.journal.volume23
dc.journal.issue2
dc.journal.titleJournal of Infrastructure Systems
dc.identifier.doi10.1061/(ASCE)IS.1943-555X.0000329
dc.treeJournal of Infrastructure Systems:;2017:;Volume ( 023 ):;issue: 002
dc.contenttypeFulltext


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