Equating these ratings to academic grades suggests that several communities fail to achieve standards of accessibility but do achieve minimal levels of access in their civic cores. Google Street View offers a data source for human observers to assess the accessibility of communities. Researchers should explore the feasibility of using supervised and unsupervised learning to establish machine recognition of access features.
This research is supported by a grant from the National Institute on Disability and Rehabilitation Research (H133 B00028). The authors wish to acknowledge Valerie Costilla for her early contributions, and Ashley Bailey and Courtney Damron for their work on this line of research.
Seekins, T., Rennie, B. and Hammond, J. (2014), "Exploring the Feasibility of Using “Google Street View” to Assess the Accessibility of Community Environments: Developing Definitions and Observational Protocol for Image Recognition and Classification", Environmental Contexts and Disability (Research in Social Science and Disability, Vol. 8), Emerald Group Publishing Limited, Bingley, pp. 123-139. https://doi.org/10.1108/S1479-354720140000008007
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