Development and deployment of the Computer Assisted Neighborhood Visual Assessment System (CANVAS) to measure health-related neighborhood conditions.
Development and deployment of the Computer Assisted Neighborhood Visual Assessment System (CANVAS) to measure health-related neighborhood conditions.
复制标题
DOI：
10.1016/j.healthplace.2014.10.012
复制
发表时间：
2015-01
期刊：
影响因子：
4.8
通讯作者：
Teitler JO
中科院分区：
文献类型：
--
作者：
Bader MD;Mooney SJ;Lee YJ;Sheehan D;Neckerman KM;Rundle AG;Teitler JO
公共卫生研究表明，邻里条件与健康行为和结果有关。系统的邻里审计帮助研究人员测量他们认为理论上相关但在现有行政数据中不可用的邻里条件。然而，系统审计的成本很高，而且在不同地理区域之间很少有可比性。我们描述了一个在线应用程序，计算机辅助邻里视觉评估系统（CANVAS），使用谷歌街景进行虚拟审计的邻里环境的发展。我们使用这个系统来评估187个项目的评分员之间的可靠性有关的步行性和身体障碍在美国的150个街道段的国家样本。我们发现，许多项目是可靠的测量跨审计师使用CANVAS和审计师之间的协议似乎是不相关的邻里人口特征。根据我们的研究结果，我们得出结论，谷歌街景和帆布提供了机会，发展更大的可比性，在邻里审计研究。
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.
登录
查看更多内容
DOI：
10.1111/j.1469-7610.2012.02565.x
发表时间：
2012-10
期刊：
Journal of child psychology and psychiatry, and allied disciplines
影响因子：
--
作者：
Odgers CL;Caspi A;Bates CJ;Sampson RJ;Moffitt TE
通讯作者：
Moffitt TE
影响因子：
5.5
作者：
Rundle AG;Bader MD;Richards CA;Neckerman KM;Teitler JO
通讯作者：
Teitler JO
影响因子：
5
作者：
Mujahid, Mahasin S.;Roux, Ana V. Diez;Raghunathan, Trivellore
通讯作者：
Raghunathan, Trivellore
DOI：
10.1007/s11524-010-9505-x
发表时间：
2010-12-01
影响因子：
6.6
作者：
Badland, Hannah M.;Opit, Simon;Mavoa, Suzanne
通讯作者：
Mavoa, Suzanne
影响因子：
5.5
作者：
Brownson, Ross C.;Hoehner, Christine M.;Day, Kristen;Forsyth, Ann;Sallis, James F.
通讯作者：
Sallis, James F.