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

研究项目 (RP) 5 - 新人口统计数据 (NEW NOLA)

• 批准号: 9341975
• 负责人: ELIZABETH FUSSELL
• 金额: $ 5.16万
• 依托单位: TULANE UNIVERSITY OF LOUISIANA
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9341975
• 关键词: American; Anniversary; Attention; Behavior; Birth Rate; Censuses; Characteristics; Cities; Community Surveys; Complement; Data; Death Rate; Demographic Impact; Demography; Disasters; Event; Future; Growth; Health; Hurricane; Individual; Internal Migrations; Knowledge; Measures; Modeling; Nomads; Out-Migrations; Policies; Population; Population Sizes; Portraits; Positioning Attribute; Privatization; Recovery; Research; Research Personnel; Research Project Grants; Science; Social Environment; Source; Techniques; Time; Vulnerable Populations; base; climate change; demographics; health disparity; innovation; migration; population based; predictive modeling; programs; resilience; response; socioeconomics; trend

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.

抽象的 卡特里娜飓风过后新奥尔良的人口变化 伊丽莎白·福塞尔（Elizabeth Fussell） Katrina@10计划的总体目标是通过包括广度来推进灾难科学 和一系列相互关联的研究中的深度。该项目的目的（RP5； New Nola）是使用 美国社区调查（ACS）的限制使用数据调查人口统计的变化 新奥尔良市人口的社会经济组成。受限制的数据将使我们能够 准确衡量自卡特里娜飓风日期以来的时间，并区分外移民和非移民和非移民 移民。我们专注于（1）随着时间的流逝，新奥尔良人口组成的变化和（2）差异 与非 - 移民和卡特里娜飓风前新奥尔良人口。此外，该项目将提供趋势数据和 对其他程序组件的上下文信息，该信息侧重于特定易受攻击的人群（RP1，RP1， RP2和RP3）以及灾难前四年（RP4）的卡特里娜飓风前居民。这项研究充满了关键 灾难后与恢复相关的迁移的知识差距，这将用于灾难响应计划者 以及参与中期和长期灾难恢复的公共和私人机构。它会做几个 重大贡献。首先，它将扩大有关新奥尔良人口恢复的知识 一年，目前可用的时间更长，并揭示了社会经济和 人口群体。其次，在检查个人迁徙行为时，其专注于人口 新奥尔良的组成最终对于灾难响应计划者，城市规划师和 恢复城市的其他利益相关者。第三，它将通过研究 个人行为与社会环境之间的相互关系，从而加入了这两个环境 通常对单独处理。该项目的创新是倾向得分的应用 将限制的技术重新权使用ACS数据，以说明这种相对较新的来源如何 迁移数据可用于分析基于场所的人群重新分布。结果将提供更好的 了解一场灾难后人口重新分布，这将有助于研究人员，政策制定者和 公众为将来的灾难做准备。