Evaluating Exposure To Coastal Hazards In the Supervised Offender Population Using Social Disorganization Theory
Document Type
Article
Publication Date
9-1-2020
Department
Geography and Geology
School
Biological, Environmental, and Earth Sciences
Abstract
© 2020, University of North Carolina Press. All rights reserved. A central component of hazards research involves the examination of how specific groups are affected by damaging events and how their unique sociodemographic characteristics contribute to broader variations in resilience and recovery. Supervised offenders are uniquely disadvantaged regarding demographics, housing, and economic opportunity; all of which contribute to heightened vulnerability and reduced resilience. This research sought to understand whether supervised offenders tend to live in areas most at risk from coastal hazards. The primary objectives were to model offender residential patterns in coastal Mississippi using a statistical proxy of social disorganization and examine whether these areas are dis-proportionately exposed to coastal hazard events. Principal component analysis (PCA) consolidated explanatory socioeconomic and demographic measures into the Social Disorganization Index (SDI). The SDI shows those block groups with the highest levels of social disorganization are not at signifi-cantly increased risk from flooding. Development trends explain much of the variation in hazard exposure while the presence of military facilities and higher education institutions likely influence the socioeconomic conditions. This research provides a novel understanding of vulnerability in the offender population and demonstrates that traditional measures of social disorganization may not fully capture the unique contextual characteristics of the Mississippi Gulf Coast.
Publication Title
Southeastern Geographer
Volume
60
Issue
3
First Page
215
Last Page
234
Recommended Citation
Price, A.,
Cochran, D.,
Raber, G.,
Hill, J.
(2020). Evaluating Exposure To Coastal Hazards In the Supervised Offender Population Using Social Disorganization Theory. Southeastern Geographer, 60(3), 215-234.
Available at: https://aquila.usm.edu/fac_pubs/18286