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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/20830
Title: An inclusive and adaptive framework for measuring social resilience to disasters
Authors: Goonetilleke, Ashantha
Keywords: Civil engineering
Community resilience
Disaster management
Disaster resilience
Resilience assessment
Issue Date: Jun-2018
Publisher: Elsevier
Abstract: Resilience is a multifaceted phenomenon, and approaches to measure resilience across disciplines have produced wide-ranging methods. This paper presents an inclusive and adaptive ā€˜5S’ social resilience framework that was developed based on the critical review of existing social resilience frameworks discussed in the literature. The proposed social resilience framework consists of five sub-dimensions of social resilience, namely, social structure, social capital, social mechanisms, social equity, and social belief, a set of 16 characteristics, and corresponding 46 indicators. While the key social resilience characteristics are integrated within a single framework, it is flexible enough for adapting to a specific context as needed. Key challenges in resilience measurement approaches developed in disaster management context are also highlighted in this paper. The direct measures of social resilience are resource intensive. Hence, proxy measures have been widely used using data available in the public domain which often result in inadequate measurement of social resilience. It is imperative to explore use of surrogates in measuring social resilience characteristics that are complex and not easily measurable directly.
URI: https://www.sciencedirect.com/science/article/pii/S2212420918301547
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/20830
Appears in Collections:Department of Civil Engineering

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