Housing Choice Vouchers and Crime in Charlotte, NC

Mast, Brent D.; Wilson, Richard L.

doi:10.1080/10511482.2013.794853

Cited by 15 publications

(19 citation statements)

References 42 publications

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“…Studies have found that voucher households tend to be concentrated in poorer neighborhoods (Devine, Gray, Rubin, & Taghavi, 2003;Guhathakurta & Mushkatel, 2000;McClure, Schwartz, & Taghavi, 2015;Metzger, 2014) and in areas with lower performing schools (Horn, Ellen, & Schwartz, 2014). The evidence, however, is mixed on the association between voucher locations and crime (Lens, 2014; see Mast & Wilson, 2013).…”

Section: Mobility Of Households With Subsidized Housingmentioning

confidence: 99%

Residential mobility of low-income, subsidized households: a synthesis of explanatory frameworks

Basolo

Yerena

2016

Housing Studies

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Mobility, residential quality, and life outcomes are linked in the literature and these relationships have influenced low-income housing policy. This research investigates the determinants of mobility for households with a federal housing subsidy. Combining unique data from a survey of Housing Choice Voucher households, client program files, and secondary data, this study uses logistic regression to test several explanations for mobility, including the life cycle, housing market perceptions, and perceived and actual neighborhood conditions. The results indicate that a synthesis of explanations produce the best model to predict residential mobility. Neighborhood quality, perceived and actual, variables most strongly influence mobility, but life cycle factors and perception of the local housing market also impact moving choices. At the same time, the results suggest a gap in our understanding of the relationship among individuals' environmental perceptions, formation of feelings of neighborhood satisfaction, and actual neighborhood conditions. The article concludes with a discussion of the research and policy implications from this study.

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Section: Mobility Of Households With Subsidized Housingmentioning

confidence: 99%

Residential mobility of low-income, subsidized households: a synthesis of explanatory frameworks

Basolo

Yerena

2016

Housing Studies

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“…Brown et al, 2004;Kurtz, Koons, & Taylor, 1998;Perkins, Wandersmann, Rich, & Taylor, 1993;Sampson & Raudenbush, 1999;Taylor, 2001;Taylor, Shumaker, & Gottfredson, 1985 ). Recent evidence indicates the importance of concentrations of housing choice voucher holders (Ellen, Lens, & O'Regan, 2011;Mast & Wilson, 2013;Popkin, Rich, Hendey, Parilla, & Galster, 2012) in predicting crime rates nearby. Finally, the evidence examining the impact of housing stock characteristics suggests that violent and property crime rates are higher in neighborhoods with higher housing vacancy rates (Krivo & Peterson, 1996;Roncek, 1981), foreclosed homes (Cui, 2010;Ellen, Lacoe, & Sharygin, 2012;Goodstein & Lee, 2010;Immergluck & Smith, 2006;Katz, Wallace, & Hedberg, 2011;Williams, Galster, & Verma, 2013) and more abandoned, unsecured buildings (Spelman, 1993), although with one exception (Plerhoples, 2012).…”

Section: Neighborhood Conditions As Causes Of Crimementioning

confidence: 99%

Neighborhood Disinvestment, Abandonment, and Crime Dynamics

Raleigh

Galster

2015

Journal of Urban Affairs

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This article develops a conceptual framework of neighborhood crime dynamics based on a synthesis of criminology and neighborhood change literatures which suggests that neighborhood decline can produce a nonlinear response in crime rates. The authors probe this relationship using a rich Detroit data set containing detailed, block-level information about housing, land, abandonment, population, schools, liquor outlets, and crime reports of various categories. Negative binomial models reveal that several neighborhood attributes are consistently associated with all types of crime (renter occupancy, population density, establishments with liquor licenses) while other attributes are only associated with particular types of crime. A simulation using estimated parameters suggests that processes of disinvestment and abandonment can generate a nonlinear pattern in the rate of growth in neighborhood crimes that vary in intensity by crime type. The authors explore the implications of their findings for anticrime strategies focusing on demolishing abandoned housing, "right-sizing" urban footprints, and regulating liquor-selling establishments.

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“…Among numerous studies examining the associations between subsidized housing and crime, many researchers have also estimated the impacts of the Housing Choice Voucher (HCV) program on neighborhood crime in recent years (Ellen et al, 2012;Mast & Wilson, 2013;Popkin et al, 2012;Suresh & Vito, 2009). However, surprisingly few studies have focused on the relationships between LIHTC developments and neighborhood crime.…”

Section: Previous Evidence On Impacts Of Subsidized Housing On Neighbmentioning

confidence: 99%

Beyond anecdotal evidence: Do subsidized housing developments increase neighborhood crime?

Woo

Joh

2015

Applied Geography

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Housing Choice Vouchers and Crime in Charlotte, NC

Cited by 15 publications

References 42 publications

Residential mobility of low-income, subsidized households: a synthesis of explanatory frameworks

Residential mobility of low-income, subsidized households: a synthesis of explanatory frameworks

Neighborhood Disinvestment, Abandonment, and Crime Dynamics

Beyond anecdotal evidence: Do subsidized housing developments increase neighborhood crime?

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