Using Google Street View to examine associations between built environment characteristics and U.S. health outcomes.

ABSTRACT: Neighborhood attributes have been shown to influence health, but advances in neighborhood research has been constrained by the lack of neighborhood data for many geographical areas and few neighborhood studies examine features of nonmetropolitan locations. We leveraged a massive source of Google Street View (GSV) images and computer vision to automatically characterize national neighborhood built environments. Using road network data and Google Street View API, from December 15, 2017-May 14, 2018 we retrieved over 16 million GSV images of street intersections across the United States. Computer vision was applied to label each image. We implemented regression models to estimate associations between built environments and county health outcomes, controlling for county-level demographics, eco

SUBMITTER: Nguyen QC 

PROVIDER: S-EPMC6488538 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature