Doctoral Dissertation Research: Affordable Housing and Support Networks in U.S. Cities

该项目将分析私人拥有的经济适用房-美国最普遍的基于项目的补贴住房类型-如何影响低收入社区。具体而言，它将评估负担得起的住房对形成相互依赖的物质、服务和信息援助的支持网络或个人团体的影响。本项目将比较经济适用住房的支助网络形成与市场价格租赁住房的支助网络形成。这种比较的目的是确定经济适用住房的特点，如住房综合体的物理设计和租赁所需的规则和条例，这可能会影响邻里之间的支持网络的形成。 比较将使用原始调查和采访数据收集在圣地亚哥市的低收入社区。将对调查数据进行统计分析，以确定两个住房环境内部和之间的支助网络形成模式。访谈数据将用于解释统计分析中确定的模式所依据的社会过程。研究结果将有助于住房和社会资本的社会学理论，同时也增加了美国社会安全网的知识。该项目将帮助经济适用住房的提供者了解其居民获得日常生活和社会经济流动所需资源的能力。该项目向经济适用住房提供者提供了一种收集和分析数据的方法，以评估其住房服务。

This project will analyze how privately owned affordable housing - the most prevalent type of project-based subsidized housing in the US - affects low-income communities. Specifically, it will evaluate affordable housing's effect on the formation of support networks or groups of individuals who depend on each other for material, service, and information-based assistance. This project will compare support network formation in affordable housing with support network formation in market-rate rental housing. The objective in this comparison is to identify the characteristics of affordable housing, such as the physical design of housing complexes and the rules and regulations required for tenancy, which may influence the formation of support networks among neighbors. The comparison will be made using original survey and interview data collected in a low-income neighborhood in the City of San Diego. The survey data will be statistically analyzed to identify patterns of support network formation within and between the two housing environments. The interview data will then be used to explain the social processes underpinning the patterns identified in the statistical analysis. The findings will contribute to sociological theory of housing and social capital while also increasing knowledge of the US social safety net. This project will help the providers of affordable housing understand its residents' ability to access resources needed for daily life and socioeconomic mobility. This project makes available to affordable housing providers a method of collecting and analyzing data to evaluate their housing services.