Predicting walking-to-work using street-level imagery and deep learning in seven Canadian cities

New ‘big data’ streams such as street-level imagery are offering unprecedented possibilities for developing health-relevant data on the urban environment. Urban environmental features derived from street-level imagery have been used to assess pedestrian-friendly neighbourhood design and to predict a...

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Detalles Bibliográficos
Autores principales: Doiron, Dany, Setton, Eleanor M., Brook, Jeffrey R., Kestens, Yan, McCormack, Gavin R., Winters, Meghan, Shooshtari, Mahdi, Azami, Sajjad, Fuller, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626470/
https://www.ncbi.nlm.nih.gov/pubmed/36319661
http://dx.doi.org/10.1038/s41598-022-22630-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626470/
https://www.ncbi.nlm.nih.gov/pubmed/36319661
http://dx.doi.org/10.1038/s41598-022-22630-1

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