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Anna M. Chudyk, Meghan Winters, Erin Gorman, Heather A. McKay and Maureen C. Ashe

The authors investigated the use of Google Earth’s Street View option to audit the presence of built environment features that support older adults’ walking. Two raters conducted virtual (Street View) and in-the-field audits of 48 street segments surrounding urban and suburban assisted living sites in metropolitan Vancouver, BC, Canada. The authors determined agreement using absolute agreement. Their findings indicate that Street View may identify the presence of features that promote older adults’ walking, including sidewalks, benches, public washrooms, and destinations. However, Street View may not be as reliable as in-the-field audits to identify details associated with certain items, such as counts of trees or street lights; presence, features, and height of curb cuts; and sidewalk continuity, condition, and slope. Thus, the appropriateness of virtual audits to identify microscale built environment features associated with older adults’ walking largely depends on the purpose of the audits—specifically, whether the measurer seeks to capture highly detailed features of the built environment.

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Stephen Hunter, Andrei Rosu, Kylie D. Hesketh, Ryan E. Rhodes, Christina M. Rinaldi, Wendy Rodgers, John C. Spence and Valerie Carson

® Streetfiles, CanMap ® Route Logistics, and Google Earth Street View. A higher score indicates greater walkability. The safety domain was represented by Crime Against Persons, Crime Against Property (CAP) Index Inc (Exton, PA) crime scores. Crime scores were obtained and aggregated into the digital

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Carrie M. Geremia, Kelli L. Cain, Terry L. Conway, James F. Sallis and Brian E. Saelens

selected and described for each zone. Each park was mapped using Google Earth views of the park, which were then shaded according to the zone type and numbered so that each observation of a park zone was done consistently over time. Parks were assessed first using SOPARC. During each 2-hour work shift

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Jordan A. Carlson, J. Aaron Hipp, Jacqueline Kerr, Todd S. Horowitz and David Berrigan

wearable cameras (e.g., SenseCam) or stationary cameras. The curated from third party category ( n  = 7) consisted primarily of research using GSV and/or Google Earth but also included one respondent using images from social media and another using images from publicly available webcams (Table  1