Treffer: How Valid Are Social Vulnerability Models?

Title:
How Valid Are Social Vulnerability Models?
Contributors:
Université de Cergy Pontoise (UCP), Université Paris-Seine, Institut universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), University of Iowa [Iowa City], University of Central Florida [Orlando] (UCF), European Project: NSF 1333190,U.S. National Science Foundation 1333190, European Project: NSF 1707947,U.S. National Science Foundation 1707947
Source:
Annals of the American Association of Geographers. 109(4):1131-1153
Publisher Information:
CCSD; Taylor & Francis, 2019.
Publication Year:
2019
Collection:
collection:SHS
collection:UNIV-CERGY
collection:AO-GEOGRAPHIE
collection:GIP-BE
Original Identifier:
HAL:
Document Type:
Zeitschrift article<br />Journal articles
Language:
English
ISSN:
2469-4452
2469-4460
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.1080/24694452.2018.1535887; info:eu-repo/grantAgreement//NSF 1333190/EU/Measuring social equity in flood recovery funding/U.S. National Science Foundation 1333190; info:eu-repo/grantAgreement//NSF 1707947/EU/Humans, Disasters, and the Built Environment program/U.S. National Science Foundation 1707947
DOI:
10.1080/24694452.2018.1535887
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.halshs.02485376v1
Database:
HAL

Weitere Informationen

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.