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Social Vulnerability Metrics and Mapping

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Title: Social Vulnerability Metrics and Mapping


1
Social Vulnerability Metrics and Mapping
  • Susan L. Cutter
  • Hazards Vulnerability Research Institute
  • University of South Carolina

scutter_at_sc.edu
Living with Floods Conference March 11-12,
2009 Iowa City, Iowa
2
Vulnerability and Resilience Science
  • What circumstances place people and localities at
    risk?
  • What enhances or reduces the ability to respond
    to environmental threats?
  • What are the geographic patterns between and
    among places?
  • Development of methods and metrics for
    analyzing societal vulnerability and resilience
    to environmental hazards and extreme events

Goal Provide scientific basis for disaster and
hazard reduction policies
3
Problem Disparities in vulnerability,
inequalities in impacts
Social Systems
Inherent Vulnerability
Built Environment
Inherent Resilience
Natural Systems
4
Social Vulnerability
  • Identification of population characteristics that
    influence the social burdens of risks
  • How those factors affect the distribution of
    risks and losses

Based on extensive post-disaster field work
monitoring the location of losses including
surveys of affected populations as well as
pre-impact studies
5
Some US examples
  • Special needs populations
  • difficult to identify (infirm, transient) let
    alone measure invariably left out of recovery
    efforts often invisible in communities
  • Age (elderly and children)
  • affect mobility out of harms way need
    special care more susceptible to harm
  • Socioeconomic status (rich poor)
  • ability to absorb losses and recover
    (insurance, social safety nets), but more
    material goods to lose
  • Race and ethnicity (non-white non-Anglo)
  • impose language and cultural barriers
    affect access to post-disaster recovery funding
    tend to occupy high hazard zones
  • Gender (women)
  • gender-specific employment, lower wages,
    care-giving role
  • Housing type and tenure (mobile homes, renters)

Heinz Center, 2002. Human Links to Coastal
Disasters. Washington D.C. The H. John Heinz
III Center for Science, Economics and the
Environment.
6
Mapping social vulnerability The Social
Vulnerability Index (SoVI)
  • County level socioeconomic profiles based on
    decennial census
  • 1960-2000
  • 42 variables reduced to factors (11)
  • Explains 74 to 76 of variance in
  • data

See Cutter et al. 2003. Social Vulnerability to
Environmental Hazards, Social Science Quarterly
84 (1) 242-261.
7
Social Vulnerability Factors
  • Socioeconomic status
  • Development density
  • Age
  • Race and gender (Black females)
  • Rural
  • Race-Asian
  • Economic dependence (debt/revenue)
  • Ethnicity-Hispanic
  • Migration/growth
  • Gendered employment (Working women)

8
Mapping Social Vulnerability
sovius.org
9
Advancements in Social Vulnerability Metrics
sovius.org
10
http//www.sovius.org
11
Downscaling to Metro areas
Components Race/ethnicity class Age
ethnicity (Hispanic kids) Urban/rural Elderly
Variance explained 75.2 8 factors N1404
12
  • Deployment of NGO response assets
  • Targeting of special needs populations

13
Integrating hazards and social vulnerability
14
9 factors, 76.7 variance explained,
socioeconomic status (poverty), race/ethnicity
(Hispanics), age (elderly)
15
(No Transcript)
16
Catastrophic Failures
Mormon Slough
Pocket
Modeled levee failure in HAZUS-MH
17
Mormon Slough
Pocket
Images from Google Earth
18
Disparities in Impacts
Pocket scenario
Mormon Slough scenario
Burton, C. and S. L. Cutter, 2008. Levee
failures and social vulnerability in the
Sacramento-San Joaquin Delta area, California,
Natural Hazards Review 9 (3) 136-149.
19
74.9 variance explained by 7 factors race
class, young families, housing project
residents, elderly, Hispanics, special needs,
natural resources employment
20
REDO SLIDE
21
Assess and monitor social and spatial
inequalities in impacts and recovery
  • Pre-event determinations
  • Vulnerability and resilience
  • Preparedness, response,
  • recovery, and mitigation

22
Take home messages
  • Social metrics possible to construct and scale
  • Intersection of social and physical process
    possible within a geospatial framework
  • More work on built environment
  • More work on social resilience (or adaptive
    capacity) within a geospatial environment

23
http//www.cas.sc.edu/geog/hrl

24
Visualizing SoVI and Mortality
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