The effectiveness of Habitat for Humanity as a neighborhood stabilization program: The case of Charlotte, North Carolina

Delmelle, Elizabeth C.; Morrell, Elizabeth; Bengle, Tara; Howarth, Joe; Sørensen, Janni

doi:10.1080/15575330.2017.1344717

Cited by 4 publications

(1 citation statement)

References 26 publications

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“…This approach allows for differences in competition, race, population and income growth, and urban form to be controlled for between the subject and control sites. This counterfactual technique borrows from Isserman and Merrifield’s (1987) study of regional growth and has been used to evaluate the impact of opportunity zones on employment growth (Arefeva et al 2020) as well as housing development and neighborhood stability (Delmelle et al 2017).…”

Section: Methodsmentioning

confidence: 99%

The Role of Demographic Data Bias in the Under-Provision of Retail: A Quasi-Experimental Case Study of Low Food Access Neighborhoods in Twenty-Five Southern Metros

Graves

Zhang

2021

Urban Affairs Review

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Municipal policy attempting to remediate low food access neighborhoods tends to focus on improving demand conditions in these neighborhoods. We investigate the role of two fundamental measures of food demand (population and income) and the biases inherent in these data in creating low food access neighborhoods. Population and income data were collected for a 1-mile radius surrounding seventy-one grocery desert sites in Southern U.S. metro areas, those results were compared to thirty-eight low-income, non-desert sites in the same metros. No significant difference between the demand characteristics of desert and non-desert sites was found in our sample—suggesting that policy may need to be refocused on issues other than demand metrics. In addition, we detected significant demand underestimation bias from one source commonly used by grocery stores. Given these findings we believe that parcel level characteristics such as visibility, accessibility, and buildability may play a larger role in remediating low food access than addressing demand conditions.

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Section: Methodsmentioning

confidence: 99%

The Role of Demographic Data Bias in the Under-Provision of Retail: A Quasi-Experimental Case Study of Low Food Access Neighborhoods in Twenty-Five Southern Metros

Graves

Zhang

2021

Urban Affairs Review

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The Effect of Homeownership on Low-Income Families: A Pilot Study with Habitat for Humanity

PlaHovinsak

2022

Journal of Real Estate Literature

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Neighborhood change in Cincinnati, Ohio, 2000-2016: The effect of the Great Recession

Ravuri

2022

Community Development

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The effectiveness of Habitat for Humanity as a neighborhood stabilization program: The case of Charlotte, North Carolina

Cited by 4 publications

References 26 publications

The Role of Demographic Data Bias in the Under-Provision of Retail: A Quasi-Experimental Case Study of Low Food Access Neighborhoods in Twenty-Five Southern Metros

The Role of Demographic Data Bias in the Under-Provision of Retail: A Quasi-Experimental Case Study of Low Food Access Neighborhoods in Twenty-Five Southern Metros

The Effect of Homeownership on Low-Income Families: A Pilot Study with Habitat for Humanity

Neighborhood change in Cincinnati, Ohio, 2000-2016: The effect of the Great Recession

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