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- Publisher Website: 10.1016/j.healthplace.2014.10.012
- Scopus: eid_2-s2.0-84920920607
- PMID: 25545769
- WOS: WOS:000348202100021
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Article: Development and deployment of the Computer Assisted Neighborhood Visual Assessment System (CANVAS) to measure health-related neighborhood conditions
Title | Development and deployment of the Computer Assisted Neighborhood Visual Assessment System (CANVAS) to measure health-related neighborhood conditions |
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Authors | |
Keywords | Google street view Systematic social observation Disorder Neighborhood audit Walkability |
Issue Date | 2015 |
Citation | Health and Place, 2015, v. 31, p. 163-172 How to Cite? |
Abstract | © 2014 Elsevier Ltd. Public health research has shown that neighborhood conditions are associated with health behaviors and outcomes. Systematic neighborhood audits have helped researchers measure neighborhood conditions that they deem theoretically relevant but not available in existing administrative data. Systematic audits, however, are expensive to conduct and rarely comparable across geographic regions. We describe the development of an online application, the Computer Assisted Neighborhood Visual Assessment System (CANVAS), that uses Google Street View to conduct virtual audits of neighborhood environments. We use this system to assess the inter-rater reliability of 187 items related to walkability and physical disorder on a national sample of 150 street segments in the United States. We find that many items are reliably measured across auditors using CANVAS and that agreement between auditors appears to be uncorrelated with neighborhood demographic characteristics. Based on our results we conclude that Google Street View and CANVAS offer opportunities to develop greater comparability across neighborhood audit studies. |
Persistent Identifier | http://hdl.handle.net/10722/277016 |
ISSN | 2023 Impact Factor: 3.8 2023 SCImago Journal Rankings: 1.276 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Bader, Michael D.M. | - |
dc.contributor.author | Mooney, Stephen J. | - |
dc.contributor.author | Lee, Yeon Jin | - |
dc.contributor.author | Sheehan, Daniel | - |
dc.contributor.author | Neckerman, Kathryn M. | - |
dc.contributor.author | Rundle, Andrew G. | - |
dc.contributor.author | Teitler, Julien O. | - |
dc.date.accessioned | 2019-09-18T08:35:21Z | - |
dc.date.available | 2019-09-18T08:35:21Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Health and Place, 2015, v. 31, p. 163-172 | - |
dc.identifier.issn | 1353-8292 | - |
dc.identifier.uri | http://hdl.handle.net/10722/277016 | - |
dc.description.abstract | © 2014 Elsevier Ltd. Public health research has shown that neighborhood conditions are associated with health behaviors and outcomes. Systematic neighborhood audits have helped researchers measure neighborhood conditions that they deem theoretically relevant but not available in existing administrative data. Systematic audits, however, are expensive to conduct and rarely comparable across geographic regions. We describe the development of an online application, the Computer Assisted Neighborhood Visual Assessment System (CANVAS), that uses Google Street View to conduct virtual audits of neighborhood environments. We use this system to assess the inter-rater reliability of 187 items related to walkability and physical disorder on a national sample of 150 street segments in the United States. We find that many items are reliably measured across auditors using CANVAS and that agreement between auditors appears to be uncorrelated with neighborhood demographic characteristics. Based on our results we conclude that Google Street View and CANVAS offer opportunities to develop greater comparability across neighborhood audit studies. | - |
dc.language | eng | - |
dc.relation.ispartof | Health and Place | - |
dc.subject | Google street view | - |
dc.subject | Systematic social observation | - |
dc.subject | Disorder | - |
dc.subject | Neighborhood audit | - |
dc.subject | Walkability | - |
dc.title | Development and deployment of the Computer Assisted Neighborhood Visual Assessment System (CANVAS) to measure health-related neighborhood conditions | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.healthplace.2014.10.012 | - |
dc.identifier.pmid | 25545769 | - |
dc.identifier.scopus | eid_2-s2.0-84920920607 | - |
dc.identifier.volume | 31 | - |
dc.identifier.spage | 163 | - |
dc.identifier.epage | 172 | - |
dc.identifier.eissn | 1873-2054 | - |
dc.identifier.isi | WOS:000348202100021 | - |
dc.identifier.issnl | 1353-8292 | - |