Literature DB >> 28899029

Invited Commentary: Observing Neighborhood Physical Disorder in an Age of Technological Innovation.

Jackelyn Hwang.   

Abstract

Researchers across several disciplines have argued that the characteristics of neighborhood environments can affect a variety of individual- and neighborhood-level outcomes. Physical disorder is one feature of neighborhoods that scholars have argued is important, but data that capture physical disorder have been limited because of the time and resources required for in-person audits. The advent of Google Street View, which provides publicly available street-level imagery with nearly complete coverage of the United States, opens new possibilities for researchers. In this issue of the Journal, Mooney et al. (Am J Epidemiol. 2017;186(3):265-273) compare in-person and virtual audits in Detroit, Michigan, and demonstrate that virtual audits offer key advantages to measuring neighborhood physical disorder over in-person audits, including substantial reductions in time and resources with little to no loss of measurement precision. In this invited commentary, I welcome the use of virtual audits for advancing the study of neighborhoods and outline areas in which they can advance understanding of neighborhood effects. I also describe areas of caution in their implementation and outline how new innovations can advance the use of virtual audits for furthering understanding of neighborhood environments.
© The Author(s) 2017. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Google Street View; data collection; disorder; neighborhoods

Mesh:

Year:  2017        PMID: 28899029      PMCID: PMC5860277          DOI: 10.1093/aje/kwx005

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  6 in total

1.  Can virtual streetscape audits reliably replace physical streetscape audits?

Authors:  Hannah M Badland; Simon Opit; Karen Witten; Robin A Kearns; Suzanne Mavoa
Journal:  J Urban Health       Date:  2010-12       Impact factor: 3.671

2.  Using Google Street View to audit the built environment: inter-rater reliability results.

Authors:  Cheryl M Kelly; Jeffrey S Wilson; Elizabeth A Baker; Douglas K Miller; Mario Schootman
Journal:  Ann Behav Med       Date:  2013-02

3.  Assessing the built environment using omnidirectional imagery.

Authors:  Jeffrey S Wilson; Cheryl M Kelly; Mario Schootman; Elizabeth A Baker; Aniruddha Banerjee; Morgan Clennin; Douglas K Miller
Journal:  Am J Prev Med       Date:  2012-02       Impact factor: 5.043

4.  Using Google Street View to audit neighborhood environments.

Authors:  Andrew G Rundle; Michael D M Bader; Catherine A Richards; Kathryn M Neckerman; Julien O Teitler
Journal:  Am J Prev Med       Date:  2011-01       Impact factor: 5.043

5.  The Effects of Exposure to Better Neighborhoods on Children: New Evidence from the Moving to Opportunity Experiment.

Authors:  Raj Chetty; Nathaniel Hendren; Lawrence F Katz
Journal:  Am Econ Rev       Date:  2016-04

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

Authors:  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; Andrew G Rundle
Journal:  Am J Epidemiol       Date:  2017-08-01       Impact factor: 4.897

  6 in total
  3 in total

1.  Improving Efficiency in Mobile Data Collection for Place-Based Public Health Research.

Authors:  Daniel P Giovenco; Torra E Spillane
Journal:  Am J Public Health       Date:  2019-02       Impact factor: 9.308

2.  Mooney et al. Respond to "Observing Neighborhood Physical Disorder".

Authors:  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; Andrew G Rundle
Journal:  Am J Epidemiol       Date:  2017-08-01       Impact factor: 4.897

3.  Estimating city-level travel patterns using street imagery: A case study of using Google Street View in Britain.

Authors:  Rahul Goel; Leandro M T Garcia; Anna Goodman; Rob Johnson; Rachel Aldred; Manoradhan Murugesan; Soren Brage; Kavi Bhalla; James Woodcock
Journal:  PLoS One       Date:  2018-05-02       Impact factor: 3.240

  3 in total

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