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Street Audits to Measure Neighborhood Disorder: Virtual or In-Person?
Journal article   Open access   Peer reviewed

Street Audits to Measure Neighborhood Disorder: Virtual or In-Person?

Stephen J. Mooney, Michael D. M. Bader, Gina S. Lovasi, Julien O. Teitler, Karestan C. Koenen, Allison E. Aiello, Sandro Galea, Emily Goldmann, Daniel M. Sheehan and Andrew G. Rundle
American journal of epidemiology, v 186(3), pp 265-273
01 Aug 2017
PMID: 28899028
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1093/aje/kwx004View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze) Open

Abstract

Life Sciences & Biomedicine Public, Environmental & Occupational Health Science & Technology
Neighborhood conditions may influence a broad range of health indicators, including obesity, injury, and psychopathology. In particular, neighborhood physical disorder-a measure of urban deterioration-is thought to encourage crime and high-risk behaviors, leading to poor mental and physical health. In studies to assess neighborhood physical disorder, investigators typically rely on time-consuming and expensive in-person systematic neighborhood audits. We compared 2 audit-based measures of neighborhood physical disorder in the city of Detroit, Michigan: One used Google Street View imagery from 2009 and the other used an in-person survey conducted in 2008. Each measure used spatial interpolation to estimate disorder at unobserved locations. In total, the virtual audit required approximately 3% of the time required by the in-person audit. However, the final physical disorder measures were significantly positively correlated at census block centroids (r = 0.52), identified the same regions as highly disordered, and displayed comparable leave-one-out cross-validation accuracy. The measures resulted in very similar convergent validity characteristics (correlation coefficients within 0.03 of each other). The virtual audit-based physical disorder measure could substitute for the in-person one with little to no loss of precision. Virtual audits appear to be a viable and much less expensive alternative to in-person audits for assessing neighborhood conditions.

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44 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
Web of Science research areas
Public, Environmental & Occupational Health
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