Advancing the measurement of social vulnerability to earthquakes at subnational levels of geography: a contextually valid and robust framework.

Saved in:
Bibliographic Details
Title: Advancing the measurement of social vulnerability to earthquakes at subnational levels of geography: a contextually valid and robust framework.
Authors: Burton, Christopher G.1 (AUTHOR) christopher.burton@uconn.edu, Kraemer, Daniel1 (AUTHOR)
Source: Natural Hazards. Jun2026, Vol. 122 Issue 12, p1-34. 34p.
Abstract: Measuring risk and social vulnerability to natural hazards is central to the Sendai Framework for Disaster Risk Reduction since communities that understand and reduce their vulnerabilities are better positioned to absorb the impacts of events such as earthquakes. This has driven strong interest in quantifying social vulnerability, typically through composite indicators. Yet existing metrics face three key limitations: validation efforts are largely absent, leading indices rely on variables that ignore hazard context, and no agreed-upon framework guides indicator construction for earthquake applications. This study addresses these gaps by identifying a validated set of indicators specific to the earthquake context and applying uncertainty analysis (UA) and sensitivity analysis (SA) to identify robust modelling decisions for composite index construction. The resulting index reveals geographic variation in communities’ differential susceptibility to earthquake damage, with population density, the type and density of residential infrastructure, poverty, and unemployment emerging as primary drivers. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
FullText Text:
  Availability: 0
Header DbId: enr
DbLabel: Energy & Power Source
An: 194650533
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Advancing the measurement of social vulnerability to earthquakes at subnational levels of geography: a contextually valid and robust framework.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Burton%2C+Christopher+G%2E%22">Burton, Christopher G.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> christopher.burton@uconn.edu</i><br /><searchLink fieldCode="AR" term="%22Kraemer%2C+Daniel%22">Kraemer, Daniel</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Natural+Hazards%22">Natural Hazards</searchLink>. Jun2026, Vol. 122 Issue 12, p1-34. 34p.
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Measuring risk and social vulnerability to natural hazards is central to the Sendai Framework for Disaster Risk Reduction since communities that understand and reduce their vulnerabilities are better positioned to absorb the impacts of events such as earthquakes. This has driven strong interest in quantifying social vulnerability, typically through composite indicators. Yet existing metrics face three key limitations: validation efforts are largely absent, leading indices rely on variables that ignore hazard context, and no agreed-upon framework guides indicator construction for earthquake applications. This study addresses these gaps by identifying a validated set of indicators specific to the earthquake context and applying uncertainty analysis (UA) and sensitivity analysis (SA) to identify robust modelling decisions for composite index construction. The resulting index reveals geographic variation in communities’ differential susceptibility to earthquake damage, with population density, the type and density of residential infrastructure, poverty, and unemployment emerging as primary drivers. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194650533
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11069-026-08272-w
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 34
        StartPage: 1
    Titles:
      – TitleFull: Advancing the measurement of social vulnerability to earthquakes at subnational levels of geography: a contextually valid and robust framework.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Burton, Christopher G.
      – PersonEntity:
          Name:
            NameFull: Kraemer, Daniel
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 0921030X
          Numbering:
            – Type: volume
              Value: 122
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: Natural Hazards
              Type: main
ResultId 1