Investigating the Association between Streetscapes and Mental Health in Zhanjiang, China: Using Baidu Street View Images and Deep Learning —Anjing Zhang, 2022

This is an audio summary of the article "Investigating the Association between Streetscapes and Mental Health in Zhanjiang, China: Using Baidu Street View Images and Deep Learning" by Zhang in 2022. This study explored the spatial patterns of urban streetscape features and their associations with residents' mental health by age and sex in Zhanjiang, China. Using Baidu Street View (BSV) images and deep learning, the Green View Index (GVI) and the street enclosure were extracted to represent two physical features of the streetscapes. The results of Pearson's correlation analysis showed that GVI and street enclosures tend to cluster, but show almost opposite spatial distributions. Mental health does not correlate with GVI, but it has a significant positive correlation with pavement enclosure, especially for men aged 31 to 70 and women over 70-year-old. These findings emphasize the important effects of treescapes on human health and provide useful information for urban planning. This is the end of this informational audio track on Investigating the Association between Streetscapes and Mental Health in Zhanjiang, China: Using Baidu Street View Images and Deep Learning.

Zhang, A., Zhai, S., Liu, X., Song, G., & Feng, Y. (2022). Investigating the Association between Streetscapes and Mental Health in Zhanjiang, China: Using Baidu Street View Images and Deep Learning. International journal of environmental research and public health, 19(24), 16634. https://doi.org/10.3390/ijerph192416634