Technical Papers
Aug 5, 2016

Metrics for Evaluating and Improving Community Resilience

Publication: Journal of Infrastructure Systems
Volume 23, Issue 2

Abstract

The 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.

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Acknowledgments

This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE-1148903. Partial support from National Science Foundation Grant No. CNS-1541074 is also acknowledged.

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Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 23Issue 2June 2017

History

Received: Aug 14, 2015
Accepted: Jun 21, 2016
Published online: Aug 5, 2016
Discussion open until: Jan 5, 2017
Published in print: Jun 1, 2017

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Authors

Affiliations

Chloe Johansen [email protected]
Ph.D. Student, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr. NW, Atlanta, GA 30332 (corresponding author). E-mail: [email protected]
Jennifer Horney, Ph.D. [email protected]
Associate Professor, School of Public Health, Texas A&M Univ., 1266 TAMU, 214 Administrative, College Station, TX 77843. E-mail: [email protected]
Iris Tien, Ph.D., A.M.ASCE [email protected]
Assistant Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr. NW, Atlanta, GA 30332. E-mail: [email protected]

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