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卡特里娜飓风后新奥尔良企业恢复的预测因素。

Predictors of business return in New Orleans after Hurricane Katrina.

机构信息

Department of Environmental Sciences, Louisiana State University, Baton Rouge, Louisiana, United States of America.

出版信息

PLoS One. 2012;7(10):e47935. doi: 10.1371/journal.pone.0047935. Epub 2012 Oct 24.

DOI:10.1371/journal.pone.0047935
PMID:23133530
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3480509/
Abstract

We analyzed the business reopening process in New Orleans after Hurricane Katrina, which hit the region on August 29, 2005, to better understand what the major predictors were and how their impacts changed through time. A telephone survey of businesses in New Orleans was conducted in October 2007, 26 months after Hurricane Katrina. The data were analyzed using a modified spatial probit regression model to evaluate the importance of each predictor variable through time. The results suggest that the two most important reopening predictors throughout all time periods were the flood depth at the business location and business size as represented by its wages in a logarithmic form. Flood depth was a significant negative predictor and had the largest marginal effects on the reopening probabilities. Smaller businesses had lower reopening probabilities than larger ones. However, the nonlinear response of business size to the reopening probability suggests that recovery aid would be most effective for smaller businesses than for larger ones. The spatial spillovers effect was a significant positive predictor but only for the first nine months. The findings show clearly that flood protection is the overarching issue for New Orleans. A flood protection plan that reduces the vulnerability and length of flooding would be the first and foremost step to mitigate the negative effects from climate-related hazards and enable speedy recovery. The findings cast doubt on the current coastal protection efforts and add to the current debate of whether coastal Louisiana will be sustainable or too costly to protect from further land loss and flooding given the threat of sea-level rise. Finally, a plan to help small businesses to return would also be an effective strategy for recovery, and the temporal window of opportunity that generates the greatest impacts would be the first 6∼9 months after the disaster.

摘要

我们分析了卡特里娜飓风(2005 年 8 月 29 日袭击该地区)后新奥尔良的商业重启过程,以更好地了解主要预测因素是什么,以及它们的影响如何随时间而变化。2007 年 10 月对新奥尔良的企业进行了电话调查,这是在卡特里娜飓风发生后 26 个月。使用修正的空间概率回归模型分析数据,以评估每个预测变量随时间的重要性。结果表明,在所有时期,两个最重要的重启预测因素是企业所在地的洪水深度和以对数形式表示的企业规模(工资)。洪水深度是一个显著的负预测因子,对重启概率的边际影响最大。规模较小的企业比规模较大的企业的重启概率较低。然而,企业规模对重启概率的非线性响应表明,对于较小的企业来说,恢复援助将比对于较大的企业更有效。空间溢出效应是一个显著的正预测因子,但仅在前九个月有效。研究结果清楚地表明,洪水保护是新奥尔良的首要问题。减少脆弱性和洪水持续时间的洪水保护计划将是减轻与气候相关的灾害的负面影响并实现快速恢复的第一步。研究结果对当前的沿海保护工作提出了质疑,并增加了当前关于路易斯安那州沿海地区是否可持续的辩论,因为海平面上升的威胁使得从进一步的土地流失和洪水中保护沿海地区变得过于昂贵。最后,帮助小企业恢复的计划也是一种有效的恢复策略,产生最大影响的时间窗口将是灾难发生后的前 6∼9 个月。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d632/3480509/64cd42c0dbc0/pone.0047935.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d632/3480509/a4d460aff3a3/pone.0047935.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d632/3480509/64cd42c0dbc0/pone.0047935.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d632/3480509/a4d460aff3a3/pone.0047935.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d632/3480509/64cd42c0dbc0/pone.0047935.g002.jpg

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