Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 2.281 IF 2.281
  • IF 5-year value: 2.693 IF 5-year 2.693
  • CiteScore value: 2.43 CiteScore 2.43
  • SNIP value: 1.193 SNIP 1.193
  • SJR value: 0.965 SJR 0.965
  • IPP value: 2.31 IPP 2.31
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 73 Scimago H index 73
Volume 16, issue 6
Nat. Hazards Earth Syst. Sci., 16, 1387-1399, 2016
https://doi.org/10.5194/nhess-16-1387-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Resilience and v​ulnerability assessm​ents in natural haza​rds...

Nat. Hazards Earth Syst. Sci., 16, 1387-1399, 2016
https://doi.org/10.5194/nhess-16-1387-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 15 Jun 2016

Research article | 15 Jun 2016

A review of multivariate social vulnerability methodologies: a case study of the River Parrett catchment, UK

I. Willis and J. Fitton
Viewed  
Total article views: 1,591 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
740 827 24 1,591 32 39
  • HTML: 740
  • PDF: 827
  • XML: 24
  • Total: 1,591
  • BibTeX: 32
  • EndNote: 39
Views and downloads (calculated since 22 Feb 2016)
Cumulative views and downloads (calculated since 22 Feb 2016)
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 21 Jan 2019
Publications Copernicus
Special issue
Download
Short summary
In the field of Disaster Risk Reduction (DRR), there is a proliferation of research into different ways to measure, represent, and ultimately quantify differential social vulnerability to natural hazards. This study shows how the same census data but three alternative multivariate methodologies can lead to radical differences in our assessment of the most vulnerable population groups to flood risk. A case study of the 2013 floods in the Parrett catchment, Somerset (UK), provides context.
In the field of Disaster Risk Reduction (DRR), there is a proliferation of research into...
Citation
Share