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Annals of Behavioral Medicine
Published in: Annals of Behavioral Medicine 1/2013

01-02-2013 | Brief Report

Using Google Street View to Audit the Built Environment: Inter-rater Reliability Results

Authors: Cheryl M. Kelly, PhD, Jeffrey S. Wilson, PhD, Elizabeth A. Baker, PhD, MPH, Douglas K. Miller, MD, Mario Schootman, PhD

Published in: Annals of Behavioral Medicine | Special Issue 1/2013

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Abstract

Background

Observational field audits are recommended for public health research to collect data on built environment characteristics. A reliable, standardized alternative to field audits that uses publicly available information could provide the ability to efficiently compare results across different study sites and time.

Purpose

This study aimed to assess inter-rater reliability of built environment audits conducted using Google Street View imagery.

Methods

In 2011, street segments from St. Louis and Indianapolis were geographically stratified to ensure representation of neighborhoods with different land use and socioeconomic characteristics in both cities. Inter-rater reliability was assessed using observed agreement and the prevalence-adjusted bias-adjusted kappa statistic (PABAK).

Results

The mean PABAK for all items was 0.84. Ninety-five percent of the items had substantial (PABAK ≥ 0.60) or nearly perfect (PABAK ≥ 0.80) agreement.

Conclusions

Using Google Street View imagery to audit the built environment is a reliable method for assessing characteristics of the built environment.
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Metadata
Title
Using Google Street View to Audit the Built Environment: Inter-rater Reliability Results
Authors
Cheryl M. Kelly, PhD
Jeffrey S. Wilson, PhD
Elizabeth A. Baker, PhD, MPH
Douglas K. Miller, MD
Mario Schootman, PhD
Publication date
01-02-2013
Publisher
Springer-Verlag
Published in
Annals of Behavioral Medicine / Issue Special Issue 1/2013
Print ISSN: 0883-6612
Electronic ISSN: 1532-4796
DOI
https://doi.org/10.1007/s12160-012-9419-9

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