Author(s): Cutter SL, Boruff BJ, Shirley WL
Objective. County-level socioeconomic and demographic data were used to construct an index of social vulnerability to environmental hazards, called the Social Vulnerability Index (SoVI) for the United States based on 1990 data.
Methods. Using a factor analytic approach, 42 variables were reduced to 11 independent factors that accounted for about 76 percent of the variance. These factors were placed in an additive model to compute a summary score—the Social Vulnerability Index.
Results. There are some distinct spatial patterns in the SoVI, with the most vulnerable counties clustered in metropolitan counties in the east, south Texas, and the Mississippi Delta region.
Conclusion. Those factors that contribute to the overall score often are different for each county, underscoring the interactive nature of social vulnerability—some components increase vulnerability; others moderate the effects.
Author(s): Turner BL, Kasperson RE, Matson PA, McCarthy JJ, Corell RW, et al.
Author(s): Luers AL
Author(s): Adger WN
Author(s): Folke C
Author(s): Gallopín GC
Author(s): Polsky C, Neff R, Yarnal B
Author(s): Yarnal B
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Author(s): Wu SY, Yarnal B, Fisher A
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Author(s): Birkmann J
Author(s): Cutter SL, Barnes L, Berry M, Burton C, Evans E, et al.
Author(s): Godschalk DR, Brody S, Burby R
Author(s): Frazier TG, Wood N, Yarnal B, Bauer DH (2010b) Influence of potential sea level rise on societal vulnerability to hurricane storm-surge hazards, Sarasota County, Florida
Author(s): Adger NW, Arnell N, Tompkins E