Urban and Regional Planning and Design Theses and Dissertations
Permanent URI for this collectionhttp://hdl.handle.net/1903/26355
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Item Housing Value and Light Rail Transit Construction: Evidence from Three Essays(2020) Peng, Qiong; Knaap, Gerrit Jan; Urban and Regional Planning and Design; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)In three essays, this dissertation explores what’s the determinants of multifamily rents and whether an anticipated investment in light rail transit influences multifamily rents and single-family housing prices in the rail transit pre-service period. In the first essay, I applied a multilevel linear model approach to account for the multifamily housing hierarchical data structure, and assessed the effects of service provision and management on multifamily rents. The findings show that pet allowance, availability of a short-term lease, and storage service increase rents significantly, while general renovations and availability of services for those with disabilities do not increase rents. The second essay empirically tests whether light rail transit in the pre-service period impacts multifamily housing rent in the transit corridor. Two approaches, a first-difference method and a difference-in-difference method, are used to test the research question. The results indicate that the rents of two-bedroom, three-bedroom, and four-bedroom units within a half-mile from planned light rail stops have significantly increased from 2015 to 2018 compared with the rent of units in other areas in Montgomery County. The third essay examines the temporal and spatial variation of the effect of the Purple Line on single-family home prices during the rail line pre-service period. The results show that the housing market saw a premium in 2012, the year the Purple Line project progressed into the preliminary engineering phase. The results also show that the effect of the new light rail transit line is distributed unevenly across the catchment areas of newly built stations and established stations.Item Modeling the Relationship Between the Housing First Approach and Homelessness(2020) Boston, David; Lung-Amam, Willow; Urban and Regional Planning and Design; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)A growing body of evidence from individual-level studies demonstrating that the Housing First approach is effective at keeping those experiencing homelessness in stable housing has led to the approach being championed by many leading experts, especially as a way to address chronic homelessness (O'Flaherty, 2019). This helps us understand the relationship between Housing First and an individual’s homelessness, but we know very little about the relationship between implementation of a Housing First approach and overall homelessness rates in a community. In a 2019 survey of homelessness research published by the Journal of Housing Economics, Brendan O’Flaherty wrote: “What has been missing in studies of Housing First are estimates of aggregate impact: does operating a Housing First program actually reduce the total amount of homelessness in a community?” Through this study, I sought to understand if Continuums of Care (CoC) that have adopted a Housing First approach by dedicating a higher proportion of their resources towards permanent housing units are associated with a lower proportion of people experiencing homelessness between the years 2009 and 2017 than CoCs dedicating a higher proportion of their resources towards emergency shelter and other short-term solutions. Additionally, I sought to understand how that relationship between the implementation of a Housing First approach and homelessness rates change as the values of median rent, unemployment, and other covariates typically associated with homelessness rates change. I hypothesized that CoCs adopting a Housing First approach, as defined in the context of this study, would experience lower homelessness rates. The hypothesis that homelessness rates would decrease as the Housing First index increases was supported by the results, but the relationship is more complex than hypothesized. The relationship between Housing First and homelessness rates was quadratic in nature and influenced by an interaction effect with housing tenure. Jurisdictions that adopted a Housing First approach generally experienced lower homelessness rates, except where a vast majority of households are owner-occupied.