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Measuring Neighborhood Walkable Environments: A Comparison of Three Approaches

Multiple studies have revealed the impact of walkable environments on physical activity. Scholars attach considerable importance to leisure and health-related walking. Recent studies have used Google Street View as an instrument to assess city streets and walkable environments; however, no study has...

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Autores principales: Chiang, Yen-Cheng, Sullivan, William, Larsen, Linda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486279/
https://www.ncbi.nlm.nih.gov/pubmed/28587186
http://dx.doi.org/10.3390/ijerph14060593
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author Chiang, Yen-Cheng
Sullivan, William
Larsen, Linda
author_facet Chiang, Yen-Cheng
Sullivan, William
Larsen, Linda
author_sort Chiang, Yen-Cheng
collection PubMed
description Multiple studies have revealed the impact of walkable environments on physical activity. Scholars attach considerable importance to leisure and health-related walking. Recent studies have used Google Street View as an instrument to assess city streets and walkable environments; however, no study has compared the validity of Google Street View assessments of walkable environment attributes to assessments made by local residents and compiled from field visits. In this study, we involved nearby residents and compared the extent to which Google Street View assessments of the walkable environment correlated with assessments from local residents and with field visits. We determined the assessment approaches (local resident or field visit assessments) that exhibited the highest agreement with Google Street View. One city with relatively high-quality walkable environments and one city with relatively low-quality walkable environments were examined, and three neighborhoods from each city were surveyed. Participants in each neighborhood used one of three approaches to assess the walkability of the environment: 15 local residents assessed the environment using a map, 15 participants made a field visit to assess the environment, and 15 participants used Google Street View to assess the environment, yielding a total of 90 valid samples for the two cities. Findings revealed that the three approaches to assessing neighborhood walkability were highly correlated for traffic safety, aesthetics, sidewalk quality, and physical barriers. Compared with assessments from participants making field visits, assessments by local residents were more highly correlated with Google Street View assessments. Google Street View provides a more convenient, low-cost, efficient, and safe approach to assess neighborhood walkability. The results of this study may facilitate future large-scale walkable environment surveys, effectively reduce expenses, and improve survey efficiency.
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spelling pubmed-54862792017-06-30 Measuring Neighborhood Walkable Environments: A Comparison of Three Approaches Chiang, Yen-Cheng Sullivan, William Larsen, Linda Int J Environ Res Public Health Article Multiple studies have revealed the impact of walkable environments on physical activity. Scholars attach considerable importance to leisure and health-related walking. Recent studies have used Google Street View as an instrument to assess city streets and walkable environments; however, no study has compared the validity of Google Street View assessments of walkable environment attributes to assessments made by local residents and compiled from field visits. In this study, we involved nearby residents and compared the extent to which Google Street View assessments of the walkable environment correlated with assessments from local residents and with field visits. We determined the assessment approaches (local resident or field visit assessments) that exhibited the highest agreement with Google Street View. One city with relatively high-quality walkable environments and one city with relatively low-quality walkable environments were examined, and three neighborhoods from each city were surveyed. Participants in each neighborhood used one of three approaches to assess the walkability of the environment: 15 local residents assessed the environment using a map, 15 participants made a field visit to assess the environment, and 15 participants used Google Street View to assess the environment, yielding a total of 90 valid samples for the two cities. Findings revealed that the three approaches to assessing neighborhood walkability were highly correlated for traffic safety, aesthetics, sidewalk quality, and physical barriers. Compared with assessments from participants making field visits, assessments by local residents were more highly correlated with Google Street View assessments. Google Street View provides a more convenient, low-cost, efficient, and safe approach to assess neighborhood walkability. The results of this study may facilitate future large-scale walkable environment surveys, effectively reduce expenses, and improve survey efficiency. MDPI 2017-06-03 2017-06 /pmc/articles/PMC5486279/ /pubmed/28587186 http://dx.doi.org/10.3390/ijerph14060593 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chiang, Yen-Cheng
Sullivan, William
Larsen, Linda
Measuring Neighborhood Walkable Environments: A Comparison of Three Approaches
title Measuring Neighborhood Walkable Environments: A Comparison of Three Approaches
title_full Measuring Neighborhood Walkable Environments: A Comparison of Three Approaches
title_fullStr Measuring Neighborhood Walkable Environments: A Comparison of Three Approaches
title_full_unstemmed Measuring Neighborhood Walkable Environments: A Comparison of Three Approaches
title_short Measuring Neighborhood Walkable Environments: A Comparison of Three Approaches
title_sort measuring neighborhood walkable environments: a comparison of three approaches
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486279/
https://www.ncbi.nlm.nih.gov/pubmed/28587186
http://dx.doi.org/10.3390/ijerph14060593
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