Places as recovery machines: Vulnerability and neighborhood change after major hurricanes
Places as recovery machines: Vulnerability and neighborhood change after major hurricanes
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DOI：
10.1353/sof.0.0047
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发表时间：
2008-06-01
期刊：
影响因子：
4.8
通讯作者：
Elliott, James R.
中科院分区：
文献类型：
--
作者：
Pais, Jeremy F.;Elliott, James R.
这项研究提出了一个概念框架，用于理解大飓风过后地方转变为恢复机器的过程。这一框架认为，在这类灾难之后的几年里，支持增长的联盟利用新的物质来源和象征性资本来促进进一步的人口增长。它还认为，由于居住人口之间的社会不平等，这种增长的空间性质有很大不同，导致受影响地区的当地社区改造不均衡。为了检验从这一框架中得出的假设，我们结合了20世纪90年代早期“十亿美元”风暴的创新地理信息系统数据和当地人口普查数据。结果支持了恢复机器框架，并意味着灾后恢复能力可能有助于创建更大、更隔离的受影响地区版本，等待下一次重大灾难的暴露。
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.