Research Project (RP) 5 - New Demographics (NEW NOLA)

摘要 卡特里娜飓风后新奥尔良的人口变化 伊丽莎白·福塞尔 KATRINA@10计划的总体目标是通过包括广泛的 和深度的一系列相关研究。本项目（RP 5;新NOLA）的目标是使用 美国社区调查（ACS）的限制使用数据，以调查人口统计学和 新奥尔良市人口的社会经济组成。受限数据将允许我们 准确测量卡特里娜飓风发生以来的时间，并区分进出移民和非移民。 移民。我们重点关注（1）新奥尔良人口组成随时间的变化和（2）差异 在人口和社会经济特点的移民和移民相比，非 移民和卡特里娜飓风前的新奥尔良人口。此外，该项目还将提供趋势数据， 背景信息的其他方案组成部分，重点是特定的弱势群体（RP 1， RP 2和RP 3）和卡特里娜飓风前的居民在灾难发生四年后（RP 4）。这项研究填补了一个关键的 对灾害响应规划人员有用的灾后与恢复有关的迁移知识存在空白 以及参与中长期灾后恢复的公共和私营机构。它将使几个 重大贡献。首先，它将扩大新奥尔良人口恢复的知识， 一年的时间，更长的时间是目前可用的，并揭示社会经济和移民之间的差异， 人口群体。其次，在考察个体迁移行为的同时， 新奥尔良的组成最终对灾害响应规划者、城市规划者和 其他利益相关者在城市的复苏。第三，它将通过检查 个人行为和社会环境之间的相互关系，从而将这两种环境结合起来， 通常是分开处理的。本课题的创新之处在于倾向评分法的应用 重新加权技术，以限制使用ACS数据，以证明这种相对较新的来源， 移徙数据可用于分析基于地点的人口再分布。结果将提供更好的 了解灾难后的人口重新分布，这将有助于研究人员，政策制定者和 为未来的灾难做好准备。

Abstract POPULATION CHANGE IN NEW ORLEANS AFTER HURRICANE KATRINA Elizabeth Fussell The overall objective of the KATRINA@10 Program is to advance disaster science by including both breadth and depth in a set of interrelated studies. The objective of this project (RP5; NEW NOLA) is to use the restricted use data of the American Community Survey (ACS) to investigate change in the demographic and socio-economic composition of the population of the City of New Orleans. The restricted data will allow us to accurately measure time since the date of Hurricane Katrina and to distinguish in- and out-migrants and non- migrants. We focus on (1) change in the population composition of New Orleans over time and (2) differences in the demographic and socio-economic characteristics of in-migrants and out-migrants compared to non- migrants and to the pre-Katrina New Orleans population. In addition, this project will provide trend data and contextual information to the other program components, which focus on specific vulnerable populations (RP1, RP2, and RP3) and on pre-Katrina residents four years after the disaster (RP4). This research fills a critical gap in knowledge of recovery-related migration after a disaster that will be of use to disaster response planners and public and private agencies involved in medium- and long-term disaster recovery. It will make several significant contributions. First, it will extend knowledge about New Orleans' recovery of population over a ten year period, much longer is currently available, and reveal migratory differences between socio-economic and demographic groups. Second, while examining individual migratory behavior, its focus on the population composition of New Orleans is ultimately more useful for disaster response planners, urban planners, and other stakeholders in the recovery of the City. Third, it will advance disaster research by examining the reciprocal relationship between individual behavior and social context, thus joining these two contexts which have typically been treated separately. The project's innovation is the application of propensity score reweighting techniques to the restricted use ACS data to demonstrate how this relatively new source of migration data can be used to analyze place-based population redistribution. The results will provide a better understanding of population redistribution after a disaster that will assist researchers, policymakers, and the public in preparing for future disasters.