Spatial Relationship Between Eviction Filings, Neighborhood Characteristics, and Proximity to the Central Business District: A Case Study of Salt Lake County, Utah

Keuntae Kim, Ivis Garcia and Simon Brewer

Housing Policy Debate, 2021, vol. 31, issue 3-5, 601-626

Abstract: There has been an increasing body of literature analyzing eviction in different cities and contexts in urban studies, public health, sociology, geography, and housing studies. Still, little has been known about the underlying spatial point process of how housing evictions are generated. After geocoding eviction filing cases in Salt Lake County in 2015, this study analyzed factors affecting the intensity of eviction using the inhomogeneous Poisson point process (IPP) model. The IPP model result identified demographic, economic, and housing covariates associated with the high intensity of eviction filings. This study also found a significant relationship between eviction filings and the built environment characteristics—such as proximity to central business district (CBD) and light rail transit stations, intersection density, and land use mix score. Particularly, this study found that the intensity of housing evictions is negatively associated with an increase in the distance to CBD when CBD was transformed into gentrified areas led by new high-end apartment constructions during the housing boom since 2000. The article ends with some recommendations for policymakers, including the implementation of an “anti-eviction zone” in CBD areas to reduce the high intensity of housing evictions led by new high-end apartment constructions.

Date: 2021
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DOI: 10.1080/10511482.2020.1838598

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