SGER: Tracking Migratory Behavior of Hurricane Katrina Evacuees, Phase I: Sample Identification, Data Collection & Analysis" (Program Reference Code # 7582)

追踪飓风卡特里娜撤离者的迁移行为，第一阶段：样本鉴定，数据收集分析。小约翰逊 James R.摘要：卡特里娜飓风导致了美国历史上最大规模的城市疏散，引发了当代城市化和移民动态的重大，无计划的社会实验。 为了更好地了解这些动态，该项目确定了一个样本的撤离人员从新奥尔良，设计并实施了一项调查，以收集数据，他们的短期迁移行为，并使用收集到的数据，结合生态数据对当前和以前的邻里特征，测试假设的迁移网络和空间和经济流动性之间的联系。 研究结果将提供灾后迁移动态的新信息，并评估这些动态如何以及在多大程度上不同于现有的理解更常规的时间迁移行为。 理论贡献将在三个领域特别强大：（a）路径依赖和社交网络在多大程度上预测疏散者的迁移行为;（B）个人的社会经济地位在多大程度上介导这种行为;（c）与集中贫困和社会孤立相关的邻里特征在多大程度上也发挥作用。 对这些动态的科学理解将对州和地方决策者预测可能返回受灾地区的撤离人员的数量和类型以及联邦决策者寻求改善应急规划和应对飓风和其他类型的灾害（如毁灭性的恐怖袭击或重大工业事故）非常有价值。

TRACKING MIGRATORY BEHAVIOR OF HURRICANE KATRINA EVACUEES,PHASE I: SAMPLE IDENTIFICATION, DATA COLLECTION & ANALYSISCo-Principal Investigators: James H. Johnson, Jr. James R. Elliott Abstract:Hurricane Katrina led to the largest urban evacuation in U.S. history, triggering a major, unplanned social experiment in the dynamics of contemporary urbanization and migration. To improve understanding of these dynamics, this project identifies a sample of evacuees from New Orleans, designs and implements a survey to collect data on their short-term migratory behavior, and uses the collected data, in conjunction with ecological data on current and prior neighborhood characteristics, to test hypotheses regarding migration networks and links between spatial and economic mobility. Results will provide new information on post-disaster migratory dynamics and assess how and to what extent these dynamics differ from existing understanding of migratory behavior in more routine times. Theoretical contributions will be particularly strong in three areas: (a) the extent to which path-dependence and social networks predict the migratory behavior of evacuees; (b) the extent to which individuals' socioeconomic status mediates this behavior; and (c) the extent to which neighborhood characteristics associated with concentrated poverty and social isolation also play a role. Scientific understanding of these dynamics will be valuable for state and local policymakers anticipating the number and types of evacuees likely to return to the affected area, as well as for federal policymakers seeking to improve emergency planning and response to hurricanes and other types of disasters, such as a devastating terrorist attack or major industrial accident.