Cargando…
Investigating the Association between Streetscapes and Mental Health in Zhanjiang, China: Using Baidu Street View Images and Deep Learning
Mental health is one of the main factors that significantly affect one’s life. Previous studies suggest that streets are the main activity space for urban residents and have important impacts on human mental health. Existing studies, however, have not fully examined the relationships between streets...
Autores principales: | Zhang, Anjing, Zhai, Shiyan, Liu, Xiaoxiao, Song, Genxin, Feng, Yuke |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779280/ https://www.ncbi.nlm.nih.gov/pubmed/36554515 http://dx.doi.org/10.3390/ijerph192416634 |
Ejemplares similares
-
Assessing streetscape greenery with deep neural network using Google Street View
por: Kameoka, Taishin, et al.
Publicado: (2022) -
Alcohol in urban streetscapes: a comparison of the use of Google Street View and on-street observation
por: Clews, Chris, et al.
Publicado: (2016) -
The influence of neighborhood quality on tourism in China: Using Baidu Street View pictures and deep learning techniques
por: Chen, Jieping, et al.
Publicado: (2022) -
Modeling the Effect of Streetscape Environment on Crime Using Street View Images and Interpretable Machine-Learning Technique
por: Xie, Huafang, et al.
Publicado: (2022) -
Virtual audits of the urban streetscape: comparing the inter-rater reliability of GigaPan® to Google Street View
por: Bromm, Katherine N., et al.
Publicado: (2020)