Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/nhess-2017-74
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
16 Feb 2017
Review status
This discussion paper is under review for the journal Natural Hazards and Earth System Sciences (NHESS).
Weigh(t)ing the dimensions of social vulnerability based on a regression analysis of disaster damages
Vincent David Corvin Heß Wegener Center for Climate and Global Change, University of Graz, Graz, Austria
Abstract. Social vulnerability determines how natural hazards can turn into social disasters. However, large uncertainties remain on how to quantify social vulnerability in a compact and comprehensive way. A principle component analysis (PCA) combines many social indicators, such as population density or the level of education, into a single vulnerability index. Whether the individual indicators increase or decrease vulnerability is usually based on consequential reasoning or derived from previous studies. These assumptions are rarely tested for their applicability to the study area. In a case study for the Austrian federal state of Styria we observe no correlation between disaster damages and an initial vulnerability index which was based on literature-derived assumptions about the influence of each indicator and following best practices for the PCA. We show that a regression analysis of past damages can improve the interpretation of social indicators by better representing the local situation. With the results from the regression-based analysis we can improve the PCA approach and only the updated vulnerability index correlates with observed damages. This indicates that the use of a PCA-based vulnerability index requires a thorough understanding about the regionally specific influence of each indicator on social vulnerability to explain differences in disaster damages.

Citation: Heß, V. D. C.: Weigh(t)ing the dimensions of social vulnerability based on a regression analysis of disaster damages, Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-74, in review, 2017.
Vincent David Corvin Heß
Vincent David Corvin Heß
Vincent David Corvin Heß

Viewed

Total article views: 456 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
375 60 21 456 5 20

Views and downloads (calculated since 16 Feb 2017)

Cumulative views and downloads (calculated since 16 Feb 2017)

Viewed (geographical distribution)

Total article views: 456 (including HTML, PDF, and XML)

Thereof 453 with geography defined and 3 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 28 Jul 2017
Publications Copernicus
Download
Short summary
Large uncertainties remain on how to quantify social vulnerability in a comprehensive way. Standard approaches combine many social indicators into a single vulnerability index. However, we observe no correlation between disaster damages and a vulnerability index based on literature-derived assumptions about the influence of each indicator. A regression analysis of past damages can improve the interpretation of social indicators by representing the local and domain-specific circumstances.
Large uncertainties remain on how to quantify social vulnerability in a comprehensive way....
Share