Cargando…
The linkage between the perception of neighbourhood and physical activity in Guangzhou, China: using street view imagery with deep learning techniques
BACKGROUND: Neighbourhood environment characteristics have been found to be associated with residents’ willingness to conduct physical activity (PA). Traditional methods to assess perceived neighbourhood environment characteristics are often subjective, costly, and time-consuming, and can be applied...
Autores principales: | Wang, Ruoyu, Liu, Ye, Lu, Yi, Yuan, Yuan, Zhang, Jinbao, Liu, Penghua, Yao, Yao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6659285/ https://www.ncbi.nlm.nih.gov/pubmed/31345233 http://dx.doi.org/10.1186/s12942-019-0182-z |
Ejemplares similares
-
Using deep learning to examine street view green and blue spaces and their associations with geriatric depression in Beijing, China
por: Helbich, Marco, et al.
Publicado: (2019) -
Assessing the Impact of Street-View Greenery on Fear of Neighborhood Crime in Guangzhou, China
por: Jing, Fengrui, et al.
Publicado: (2021) -
The Relationship between Air Pollution and Depression in China: Is Neighbourhood Social Capital Protective?
por: Wang, Ruoyu, et al.
Publicado: (2018) -
Dynamic spatiotemporal analysis of indigenous dengue fever at street-level in Guangzhou city, China
por: Liu, Kangkang, et al.
Publicado: (2018) -
Associations between neighbourhood street pattern, neighbourhood socioeconomic status and sleep in adults
por: Lukic, R., et al.
Publicado: (2021)