Advanced Spatial Analysis

This website is preserved as an Archive for the NIH-funded GISPopSci / Advanced Spatial Analysis Training Programs (2005–2013). Current resources in support of
Spatially Integrated Social Science
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Research Project Details

Places as Recovery Machines: Neighborhood Change Following Major Hurricanes

Discipline: Population and Environment     Sociology     Urban Studies          

Project Category:
Institution: State University of New York at Albany University of Oregon
Principal Investigators: Jeremy Pais James Elliott

Description: Abstract: Much research has examined the social, psychological, and economic impacts of natural disasters, but few have considered their demographic effects and fewer still have moved beyond specific case studies to consider how places, in general, recover after such catastrophes. In this study, we contribute to sociological understanding of disasters by advancing a conceptual framework of places as recovery machines and by introducing an innovative method for testing and refining general propositions about how neighborhoods change after major coastal disasters, paying particular attention to patterns and processes of power and vulnerability. Results from major hurricanes of the early 1990s show that affected regions grow substantially after major storms and this growth is highly uneven, with elite entrenchment characterizing the core zone of recovery and rapid, ethno-racially diverse growth dominating the surrounding, inner ring of recovery.

Expected Outputs: Full draft currently under review; Presenting at the 2007 PAA

Software Used: ArcGIS; Geoda; HAZUS-MR-1

Contact: Jeremy Pais