Demographic Inversion in U.S. Metropolitan Areas

这项研究项目将调查被称为“人口倒置”的人口动力学模型是否以及如何成为美国大城市地区的特征。这一模型表明，富裕、受过教育的人口越来越多地居住在城市核心地带，而更多社会经济多元化的群体则居住在郊区。该项目将提供有关年龄、种族、收入和教育等人口特征如何与城市和郊区内的住宅位置相关的新信息和见解，并将加强对这些关系如何随时间和不同类型的大都市地区变化的理解。通过对美国城市和郊区人口变化的当前动态产生新的见解，项目成果将使需要有关其社区特征的最新信息的企业主、政府官员和研究人员受益。项目成果和材料将以多种方式公开分享，包括交互式地图和数据可视化、为从业人员提供的帮助分析和解释美国人口普查数据的教程，以及关于数据分析和绘图的公开研讨会。该项目还将为本科生提供数据科学方面的高级教育和培训机会。了解当代城市和郊区人口变化的趋势对私营和公共部门的专业人员来说都是至关重要的。关于这些转变的信息往往受到公共人口资源粗略解析的限制。调查员将使用联邦统计研究数据中心提供的机密人口普查微观数据，开发社区层面的人口变化和大都市移民模式的模型。他将对当代美国城市的人口结构进行高度精确的分析，以评估人口倒置过程如何与城市人口结构理论相一致或提出挑战。这些分析的结果将与使用公共人口普查数据的分析相互参照，从而为研究大都市人口变化的公共数据的准确性提供新的方法学见解。通过开发可重复使用的软件和可视化工具来处理该项目中的人口普查和其他人口数据，调查员将帮助企业、政策制定者和社区了解当代大都市人口统计正在发生变化的方式，并为他们配备新的方法，将人口统计数据整合到他们自己的查询中。

This research project will investigate whether and how a model of population dynamics termed "demographic inversion" characterizes large metropolitan areas in the United States. This model suggests that affluent, educated populations are increasingly populating urban cores, while more socioeconomically diverse groups populate the suburbs. The project will provide new information and insights regarding how demographic characteristics like age, race, income, and education relate to residential location within cities and suburbs, and it will enhance understanding about how these relationships vary over time and across different types of metropolitan areas. By generating new insights on the current dynamics of demographic change within U.S. cities and suburbs, project results will benefit business owners, government officials, and researchers who require up-to-date information about the characteristics of their communities. Project results and materials will be publicly shared in several ways, including interactive maps and data visualizations, tutorials for practitioners to help analyze and interpret U.S. census data, and public workshops on data analysis and mapping. The project also will provide advanced education and training opportunities in data science for undergraduate students.An understanding of contemporary trends in urban and suburban demographic change is essential for professionals in both the private and public sectors. Information about these shifts often is limited by the coarse resolution of public demographic resources. The investigator will develop models of neighborhood-level demographic shifts and metropolitan migration patterns using confidential census microdata available at a federal statistical research data center. He will conduct highly precise analyses of the contemporary demographic structure of American cities in order to assess how processes of demographic inversion are consistent with or challenge theories of urban demographic structure. The results of these analyses will be cross-referenced with analyses using public census data, thereby providing new methodological insights into the accuracy of public data for the study of metropolitan demographic change. By developing reproducible software and visualization tools for working with census and other demographic data in this project, the investigator will help businesses, policymakers, and communities understand the ways in which contemporary metropolitan demographics are changing and equip them with new approaches for integrating demographic data into their own inquiries.