居住在感知安全、活跃且美观的邻里环境中的人群更有可能参与身体活动，而居住在感知单调和压抑的邻里环境中的人群则较少参与身体活动。此外，邻里感知与身体活动之间的关系在不同强度的身体活动水平中存在差异。腾讯街景影像与深度学习技术相结合，为评估中国大城市邻里环境暴露提供了一种准确的自动化工具。

People living in perceived safe, lively and beautiful neighbourhoods were more likely to engage in PA, and people living in perceived boring and depressing neighbourhoods were less likely to engage in PA. Additionally, the relationship between neighbourhood perception and PA varies across different PA intensity levels. A combination of Tencent Street View imagery and deep learning techniques provides an accurate tool to automatically assess neighbourhood environment exposure for Chinese large cities.