Places as Recovery Machines
Vulnerability and Neighborhood Change After Major Hurricanes
Bibliographic Data
| ID | 8046464 |
|---|---|
| Authors | Jeremy Pais (University at Albany, State University of New York), J F Pais, J R Elliott (0000-0002-9790-5433) |
| Year | 2008 |
| Volume | 86 |
| Issue | 4 |
| Pages | 1415-1453 |
| Publication date | 2008-06-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Social Forces (JOURNAL) |
| Journal identifiers | ISSN: 0037-7732 • E-ISSN: 1534-7605 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1353/sof.0.0047 |
| OpenAlex | W1994270162 |
| Language | EN |
| Citations received | 120 |
| References cited | 12 |
This study advances a conceptual framework for understanding the transformation of places into recovery machines after major hurricanes. This framework contends that in the years following such disasters, pro-growth coalitions take advantage of new sources of material and symbolic capital to promote further demographic growth. It also contends that the spatial nature of this growth varies significantly as a result of social inequalities among residential subpopulations, contributing to uneven transformation of local neighborhoods across affected regions. To test hypotheses derived from this framework, we combine innovative Geographic Information Systems data from "billion dollar" storms of the early 1990s with demographic data from local census tracts. Results support the recovery machine framework and imply that post-disaster resilience may contribute to the creation of larger, more segregated versions of affected regions that await exposure with the next major disaster
Conceptual framework · Liberian dollar · Resilience · Vulnerability · Disaster Management and Resilience · Flood Risk Assessment and Management · Tropical and Extratropical Cyclones Research
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| Unique citing works | 120 |
|---|---|
| Citations per year | 7,06 |
| Citation span | 2009 - 2026 (18) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 117 |