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Estimating city-level travel patterns using street imagery: A case study of using Google Street View in Britain.

08:00 EDT 2nd May 2018 | BioPortfolio

Summary of "Estimating city-level travel patterns using street imagery: A case study of using Google Street View in Britain."

Street imagery is a promising and growing big data source providing current and historical images in more than 100 countries. Studies have reported using this data to audit road infrastructure and other built environment features. Here we explore a novel application, using Google Street View (GSV) to predict travel patterns at the city level.

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This article was published in the following journal.

Name: PloS one
ISSN: 1932-6203
Pages: e0196521

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