Journal article
How Valid Are Social Vulnerability Models?
Annals of the American Association of Geographers, Vol.109(4), pp.1131-1153
03/18/2019
DOI: 10.1080/24694452.2018.1535887
Abstract
Social vulnerability models are becoming increasingly important for hazard mitigation and recovery planning, but it remains unclear how well they explain disaster outcomes. Most studies using indicators and indexes employ them to either describe vulnerability patterns or compare newly devised measures to existing ones. The focus of this article is construct validation, in which we investigate the empirical validity of a range of models of social vulnerability using outcomes from Hurricane Sandy. Using spatial regression, relative measures of assistance applicants, affected renters, housing damage, and property loss were regressed on four social vulnerability models and their constituent pillars while controlling for flood exposure. The indexes best explained housing assistance applicants, whereas they poorly explained property loss. At the pillar level, themes related to access and functional needs, age, transportation, and housing were the most explanatory. Overall, social vulnerability models with weighted and profile configurations demonstrated higher construct validity than the prevailing social vulnerability indexes. The findings highlight the need to expand the number and breadth of empirical validation studies to better understand relationships among social vulnerability models and disaster outcomes.
Details
- Title: Subtitle
- How Valid Are Social Vulnerability Models?
- Creators
- Samuel Rufat - Université de Cergy PontoiseEric Tate - University of Iowa [Iowa City]Christopher EmrichFederico Antolini
- Resource Type
- Journal article
- Publication Details
- Annals of the American Association of Geographers, Vol.109(4), pp.1131-1153
- DOI
- 10.1080/24694452.2018.1535887
- ISSN
- 2469-4452
- eISSN
- 2469-4460
- Grant note
- DOI: 10.13039/100000001, name: U.S. National Science Foundation, award: 1333190, 1707947
- Language
- English
- Date published
- 03/18/2019
- Academic Unit
- Civil and Environmental Engineering; Public Policy Center (Archive); Geographical and Sustainability Sciences
- Record Identifier
- 9983984517102771
Metrics
32 Record Views