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

摘要 卡特里娜飓风过后新奥尔良的人口变化 伊丽莎白·福塞尔 卡特里娜飓风@10计划的总体目标是通过包括两个广度来推进灾害科学 以及一系列相互关联的研究的深度。该项目(Rp5；新NOLA)的目标是使用 美国社区调查(ACS)的限制使用数据，以调查人口和 新奥尔良市人口的社会经济构成。受限制的数据将允许我们 准确测量卡特里娜飓风以来的时间，区分进出移民和非移民 移民。我们的重点是(1)新奥尔良人口构成随时间的变化和(2)差异 与非移民相比，迁入和迁出移民的人口和社会经济特征 移民和卡特里娜飓风前的新奥尔良人口。此外，该项目将提供趋势数据和 向其他方案组成部分提供背景信息，这些内容侧重于特定的弱势群体(RP1， RP2和RP3)和灾难发生四年后卡特里娜飓风前的居民(RP4)。这项研究填补了一个关键的 灾难发生后与恢复相关的迁移知识差距，这将对灾难应对规划者有用 以及参与中长期灾后恢复的公共和私营机构。它会让几个人 做出了重大贡献。首先，它将扩展关于新奥尔良人口恢复十年以上的知识 在一年的时间内，目前有更长的数据，并显示了移民在社会经济和 人口统计群体。第二，在考察个体迁徙行为的同时，它把重点放在人口上 新奥尔良的组成最终对灾难应对规划者、城市规划者和 参与城市恢复的其他利益攸关方。第三，它将通过研究 个人行为和社会语境之间的相互关系，从而连接这两个语境， 通常都是单独治疗的。该项目的创新之处在于应用了倾向性评分 对受限使用的ACS数据进行重新加权的技术，以演示这一相对较新的来源 迁移数据可以用来分析基于地点的人口再分布。结果将提供更好的 对灾后人口再分布的理解将有助于研究人员、政策制定者和 让公众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.