Transport Studies Unit, School of Geography and the Environment, University of Oxford, Oxford OX1 3QY, UK.
School of Management Science and Real Estate, Chongqing University, Chongqing 400045, PR China.
Sci Total Environ. 2024 Oct 15;947:174759. doi: 10.1016/j.scitotenv.2024.174759. Epub 2024 Jul 14.
Outdoor jogging is one of the most popular practised exercises worldwide, providing various benefits for health and wellbeing. However, PM exposure risks of jogging behaviors were rarely explored. This study aims to investigate the association between jogging behavior and PM exposure with big data. PM exposure concentration and dose inhalation of individuals were calculated by integrating hourly PM concentration data and jogging GPS trajectory recorded by a sports app during 2015 in Beijing, after which relationships between jogging behaviors and PM exposure were unpacked using statistics analysis and structural equation modelling. Experimental results on massive jogging trajectories show that: (1) the average jogging PM exposure concentration is 60.43 μg/m, and female joggers inhaled significantly less air pollution dose (19.70 μg) than men (24.91 μg). (2) There exist significant spatiotemporal disparities in jogging exposure to PM. Joggings in the city center, in the morning, on weekdays and in autumn and winter seasons were exposed to higher pollution concentrations. (3) Jogging behavior characteristics, especially distance, activity space size, duration and rotation, were systematically associated with PM exposure across space and time. (4) The role of gender directly shaped joggers' dose inhalation of PM pollution and indirectly via duration, timing choice and distance. (5) The effects of weather conditions on joggers' exposure to PM are mainly via direct effects, whereas the direct impacts of precipitation and wind speed are mitigated by indirect effects stemming from jogging behavior patterns. Our findings provide insights for personal guidance and policy intervention for the sake of promoting physical activity and reducing PM exposure.
户外慢跑是全球最受欢迎的运动之一，它对健康和幸福有很多益处。然而，慢跑行为与 PM 暴露的关系很少被探索。本研究旨在利用大数据研究慢跑行为与 PM 暴露的关系。通过整合 2015 年北京每小时 PM 浓度数据和运动应用程序记录的慢跑 GPS 轨迹，计算个体 PM 暴露浓度和吸入剂量，然后使用统计分析和结构方程模型来剖析慢跑行为与 PM 暴露之间的关系。在大量慢跑轨迹上的实验结果表明：（1）平均慢跑 PM 暴露浓度为 60.43μg/m，女性慢跑者吸入的空气污染剂量（19.70μg）明显低于男性（24.91μg）。（2）慢跑 PM 暴露存在显著的时空差异。在市中心、早晨、工作日和秋冬季节慢跑，会接触到更高的污染浓度。（3）慢跑行为特征，尤其是距离、活动空间大小、时长和旋转，与 PM 暴露在空间和时间上都有系统的关联。（4）性别直接影响慢跑者 PM 污染的吸入剂量，也通过时长、时间选择和距离间接影响。（5）天气条件对慢跑者 PM 暴露的影响主要是直接影响，而降水和风速的直接影响则通过源自慢跑行为模式的间接影响得到缓解。本研究结果为促进身体活动和减少 PM 暴露提供了个人指导和政策干预的见解。
