Articles | Volume 16, issue 6
https://doi.org/10.5194/nhess-16-1387-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-1387-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
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
CORRESPONDING AUTHOR
Birkbeck, University of London, London, UK
J. Fitton
University of Glasgow, Glasgow, UK
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21 citations as recorded by crossref.
- Comparing index-based vulnerability assessments in the Mississippi Delta: Implications of contrasting theories, indicators, and aggregation methodologies C. Anderson et al. 10.1016/j.ijdrr.2019.101128
- GIS-based seismic vulnerability mapping: a comparison of artificial neural networks hybrid models P. Yariyan et al. 10.1080/10106049.2021.1892208
- Assessing influences on social vulnerability to wildfire using surveys, spatial data and wildfire simulations T. Paveglio et al. 10.1016/j.jenvman.2018.02.068
- How to construct and validate an Integrated Socio-Economic Vulnerability Index: Implementation at regional scale in urban areas prone to flash flooding E. Aroca-Jiménez et al. 10.1016/j.scitotenv.2020.140905
- Unveiling social vulnerability to natural hazards in the EEA and UK: A systematic review with insights for enhanced emergency planning and risk reduction I. Lapietra et al. 10.1016/j.ijdrr.2024.104507
- Evaluation of social vulnerability to natural hazards: a case of Barton on Sea, England K. Kantamaneni 10.1007/s12517-019-4819-9
- Analyzing Spatial Patterns of Health Vulnerability to Drought in the Brazilian Semiarid Region J. Menezes et al. 10.3390/ijerph18126262
- The importance of indicator weights for vulnerability indices and implications for decision making in disaster management M. Papathoma-Köhle et al. 10.1016/j.ijdrr.2019.101103
- Analysis of social vulnerability of residential community to hazards in Tianjin, China Y. Lixin et al. 10.1007/s11069-017-2781-y
- Qualitative Assessment of Social Vulnerability to Flood Hazards in Romania I. Török 10.3390/su10103780
- Implications of indicator aggregation methods for global change vulnerability reduction efforts E. Machado & S. Ratick 10.1007/s11027-017-9775-7
- Social Vulnerability Assessment for Flood Risk Analysis L. Tascón-González et al. 10.3390/w12020558
- Flood event attribution and damage estimation using national‐scale grid‐based modelling: Winter 2013/2014 in Great Britain A. Kay et al. 10.1002/joc.5721
- Bayesian networks for assessment of disruption to school systems under combined hazards A. Vatteri et al. 10.1016/j.ijdrr.2022.102924
- Editorial to the special issue on resilience and vulnerability assessments in natural hazard and risk analysis S. Fuchs et al. 10.5194/nhess-17-1203-2017
- Global patterns of disaster and climate risk—an analysis of the consistency of leading index-based assessments and their results M. Garschagen et al. 10.1007/s10584-021-03209-7
- Disaster vulnerability analysis of small towns in Brazil D. Ribeiro et al. 10.1016/j.ijdrr.2021.102726
- Fine-Scale Spatiotemporal Analysis of Population Vulnerability to Earthquake Disasters: Theoretical Models and Application to Cities H. Yuan et al. 10.3390/su11072149
- Mapping social vulnerability to floods. A comprehensive framework using a vulnerability index approach and PCA analysis I. Ajtai et al. 10.1016/j.ecolind.2023.110838
- Evaluating the vulnerability of farming communities to winter storms in Iowa, US Y. Zhang & B. Liang 10.1016/j.indic.2021.100126
- Contextualizing community-based landslide risk reduction: an evolutionary perspective P. Raška 10.1007/s10346-018-1099-5
1 citations as recorded by crossref.
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Latest update: 14 Dec 2024
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...
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