The Temporal Structure of Urban Residence

小行星9308889 大多数关于城市住宅流动性的研究将住房存量和通过住房流动的家庭作为单独的分析对象。 在进行住房研究时很少考虑到人口动态，人口研究对人们居住的住房重视不够。 住房单元和住户都有其生命周期，这些生命周期通过一定时间的占用而连接在一起。 需要对具体住房单元与具体住户之间的这种联系进行研究，以便更好地了解城市住宅结构。 本研究将通过整合住房存量、人口以及将两者联系起来的住宅流动过程，检验时间在城市住宅结构和住房搬迁中的作用的理论。 它采用了一种分层的模式，将住房建设和老龄化、户主群体和按迁入单元的年份定义的占用群体结合起来，从而将单个家庭和住房单元的历史结合起来。 该框架将用于测试美国大都市地区居民流动率的差异。 多元模型将估计解释的持久性，从1980年至1990年的占用不同类型的家庭和住宅在不同的大都市条件。 数据将来自美国人口普查的公共使用微数据样本。 住房年龄是家庭居住流动性的一个重要因素，但住房在这一过程中发挥的作用尚不清楚。 本研究将联合收割机的空间和时间维度的家庭住宅流动，以更清楚地了解如何家庭和住房单元联合收割机在时间和空间，以确定在城市地区的住宅流动率。 通过这项研究开发的模型将能够在全国任何地方使用现成的人口普查数据，这将使研究人员和政策规划人员都能了解住房年龄如何影响搬迁。 ***

9308889 MYERS Most research on urban residential mobility treats the housing stock and the households moving through it as separate objects of analysis. Housing research has been conducted with only slight regard to population dynamics, and population research has under-emphasized the housing in which people live. Both housing units and households have life cycles which are joined together by an occupancy of some duration. This linkage between specific housing units and specific households requires study in order to gain a better understanding of urban residential structure. This research project will test a theory of the role of time in urban residential structure and housing relocation by integrating housing stock, population, and the residential mobility process that links the two. It uses a model of cohort layering to integrate housing construction and aging, cohorts of householders, and occupancy cohorts defined by year moved into the unit, thus joining the histories of individual households and housing units. This framework will be used to test for differences in residential mobility rates observed across metropolitan areas in the United States. Multivariate models will be estimated to explain the persistence of occupancies from 1980 to 1990 for different types of households and dwellings under different metropolitan conditions. Data will come from the Public Use Microdata Sample of the U.S. Census. Age of housing is an important factor in residential mobility of households, but it is unclear what role housing plays in this process. This research will combine both spatial and temporal dimensions of household residential mobility to give a clearer understanding of how households and housing units combine in time and space to define rates of residential mobility in urban areas. The model to be developed through this research will be able to be implemented with readily available census data for any location in the nation, which will make it of use to both researchers and policy planners wishing to understand how housing age affects relocation. ***