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Discussion papers
https://doi.org/10.5194/nhess-2019-147
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2019-147
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Review article 11 Jun 2019

Review article | 11 Jun 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).

The spatial dimension in the assessment of socio-economic vulnerability challenges for an application on an urban scale, a systematic review

Diana Contreras and Alondra Chamorro Diana Contreras and Alondra Chamorro
  • National Research Center for Integrated Natural Disaster Management (CIGIDEN), CONICYT/FONDAP/15110017, Santiago, 7820436, Chile

Abstract. The social and economic dimensions are only two of the dimensions of vulnerability. This paper aims to review the various case study areas, hazards, methods, spatial variables/indicators/indexes and tools addressed and used in the spatial assessment of socio-economic vulnerability in the period between 2008 and 2018. This review was conducted in December 2018. For the purposes of this study, Clarivate Analytics was the primary source of information. The gross number of articles reviewed was 235. We found 42 highly relevant articles, 27 articles of medium relevance, 15 of low relevance and 151 of no relevance. However, only 21 articles containing content considered highly relevant were included in the final analysis. The highest numbers of case study areas for the spatial analysis of socio-economic vulnerability are in China, the US, India and Germany. Most of the articles that consider the spatial dimension in the assessment of socio-economic vulnerability are related to floods. The Social Vulnerability Index (SoVI®) remains the benchmark for the assessment of socio-economic vulnerability. In the spatial assessment of socio-economic vulnerability, urban facilities are the most frequent variables, and population density is the most common indicator. The Social Vulnerability (SV) index and Spatial Vulnerability Units (SVU) are benchmarks of what it is a spatial index to evaluate socio-economic vulnerability in the urban context. In summary, we identified 21 spatial variables, 19 spatial indicators and four spatial indexes. Geographic Information Systems (GIS), Remote Sensing (RS), statistical analysis and programming languages are tools used by the scientists for the assessment of socio-economic vulnerability. Nevertheless, after the review, we can conclude that it is not sufficient to only estimate the specific level of vulnerability per unit area; it is also necessary to determine the influence of the spatial component in this degree of socio-economic vulnerability.

Diana Contreras and Alondra Chamorro
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Status: open (until 06 Aug 2019)
Status: open (until 06 Aug 2019)
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Diana Contreras and Alondra Chamorro
Diana Contreras and Alondra Chamorro
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Short summary
We identified 21 spatial variables, 19 spatial indicators and four spatial indexes. Geographic Information Systems, Remote Sensing, statistical analysis and programming languages are tools used by the scientists for the assessment of socio-economic vulnerability. We concluded that it is not sufficient to only estimate the specific level of vulnerability per unit area; it is also necessary to determine the influence of the spatial component in this degree of socio-economic vulnerability.
We identified 21 spatial variables, 19 spatial indicators and four spatial indexes. Geographic...
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