全球定位系统
建筑环境
加速度计
回归分析
地理
中国大陆
水平设计
大陆
中国
计算机科学
环境卫生
环境科学
统计
生态学
医学
数学
生物
电信
人机交互
操作系统
考古
游戏设计
作者
Long Chen,Zhaoxi Zhang,Ying Long
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2021-12-31
卷期号:16 (12): e0260570-e0260570
被引量:20
标识
DOI:10.1371/journal.pone.0260570
摘要
To reexamine the relationship between leisure-time physical activity (LTPA) and the built environment (BE), this paper takes advantage of the massive amount of data collected by an accelerometer and GPS-based fitness mobile app. Massive LTPA data from more than 3 million users were recorded by Codoon in 500m by 500m grid cells and aggregated to 742 natural cities in mainland China. Six BE indicators were quantified using GIS at the city scale. Robust regression analysis was used to estimate the correlation between LTPA and BE. Five of six BE indicators—connectivity, road density, land use mix, points of interest density, and density of parks and squares—were significantly, positively, independently, and linearly related to LTPA in the regression analysis. The study obtains findings that are consistent with the previous literature but also provides novel insights into the important role of POI density in encouraging LTPA, as well as how the relationship between LTPA and BE varies by time of day. The study also sheds light on the embrace of new technology and new data in public health and urban studies.
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