Validation and development of composite indices for measuring vulnerability to earthquakes using a socio-economic perspective

Christopher G. Burton (), Miguel Toquica (), Khan Mortuza Bin Asad () and Michael Musori ()
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Christopher G. Burton: University of Connecticut
Miguel Toquica: Global Earthquake Model
Khan Mortuza Bin Asad: Texas State University
Michael Musori: Global Earthquake Model

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2022, vol. 111, issue 2, No 9, 1334 pages

Abstract: Abstract While many approaches for assessing earthquake risk exist within the literature and practice, it is the dynamic interrelationships between earthquake hazard, physical risk, and the social conditions of populations that are the focal point for disaster risk reduction. Here, the measurement of vulnerability to earthquakes (i.e., characteristics that create the potential for harm or loss) has become a major focus area. However, metrics aimed at measuring vulnerability to earthquakes suffer from several key limitations. For instance, hazard and community context are often ignored, and attempts to validate metrics are largely non-existent. The purpose of this paper is to produce composite indices of the vulnerability of countries to earthquakes within three topical areas: social vulnerability, economic vulnerability, and recovery potential. To improve upon the status quo in indicators development for measuring vulnerability to seismic events, our starting point was to: (1) define a set of indicators that are context specific to earthquakes as defined by the literature; (2) delineate indicators within categorical areas of vulnerability that are easy to understand and could be put into practical use by DRR practitioners; and (3) propose indicators that are validated using historical earthquake impacts. When mapped, the geographic variations in the differential susceptibility of populations and economies to the adverse effects of damaging earthquake impacts become evident, as does differential ability of countries to recover from them. Drivers of this geographic variation include average country debt, the type and density of infrastructure, poverty, governance, and educational attainment, to name just a few.

Keywords: Social vulnerability; Economic vulnerability; Recovery; Disaster resilience; Earthquakes (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11069-021-05095-9

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