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Predictors of Business Return in New Orleans after Hurricane Katrina

机译:商务返回新奥尔良卡特里娜飓风后的预测

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摘要

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.
机译:我们分析了2005年8月29日卡特里娜飓风袭击该地区之后新奥尔良的业务重新开放过程,以更好地了解主要预测因素是什么以及其影响随时间变化的情况。卡特里娜飓风过后的26个月,2007年10月对新奥尔良的企业进行了电话调查。使用改良的空间概率回归模型分析数据,以评估各个预测变量随时间变化的重要性。结果表明,在所有时间段内,重新开放的两个最重要的预测指标是企业所在地的洪水深度和企业规模(以对数形式的工资表示)。洪水深度是一个显着的负面预测指标,对重新开放概率具有最大的边际影响。小型企业的重开概率低于大型企业。但是,企业规模对重新开业概率的非线性响应表明,相比小企业,复苏援助对小企业而言最有效。空间溢出效应是一个显着的积极预测因子,但仅在前九个月内。调查结果清楚地表明,防洪是新奥尔良的首要问题。减少洪灾的脆弱性和持续时间的防洪计划将是减轻与气候有关的危害的不利影响并实现迅速恢复的第一步,也是最重要的一步。这些发现使人们对当前的沿海保护工作产生怀疑,并加剧了当前的争论,即路易斯安那沿海沿海地区是否可持续发展,或者由于海平面上升的威胁而无法保护其免受进一步的土地流失和洪水侵害,其成本过高。最后,帮助小企业回归的计划也将是一种有效的恢复策略,产生最大影响的时间性机会窗口将是灾难发生后的前6到9个月。

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