School of Architecture, Southwest Jiaotong University, Chengdu, China.
Front Public Health. 2022 Apr 29;10:883177. doi: 10.3389/fpubh.2022.883177. eCollection 2022.
The lack of physical activity has become a rigorous challenge for many countries, and the relationship between physical activity and the built environment has become a hot research topic in recent decades. This study uses the Strava Heatmap (novel crowdsourced data) to extract the distribution of cycling and running tracks in central Chengdu in December 2021 (during the COVID-19 pandemic) and develops spatial regression models for numerous 500 × 500 m grids ( = 2,788) to assess the impacts of the built environment on the cycling and running intensity indices. The findings are summarized as follows. First, land-use mix has insignificant effects on the physical activity of residents, which largely contrasts with the evidence gathered from previous studies. Second, road density, water area, green space area, number of stadiums, and number of enterprises significantly facilitate cycling and running. Third, river line length and the light index have positive associations with running but not with cycling. Fourth, housing price is positively correlated with cycling and running. Fifth, schools seem to discourage these two types of physical activities during the COVID-19 pandemic. This study provides practical implications (e.g., green space planning and public space management) for urban planners, practitioners, and policymakers.
缺乏身体活动已成为许多国家面临的严峻挑战，身体活动与建成环境之间的关系成为近几十年来的热门研究课题。本研究使用 Strava Heatmap（新颖的众包数据）提取 2021 年 12 月（新冠疫情期间）成都市中心的骑行和跑步轨迹分布，并为众多 500×500 m 网格（=2788）开发空间回归模型，以评估建成环境对骑行和跑步强度指数的影响。研究结果总结如下。首先，土地利用混合度对居民的身体活动没有显著影响，这与以往研究的结果有很大出入。其次，道路密度、水域面积、绿地面积、体育场数量和企业数量显著促进了骑行和跑步。第三，河流长度和光照指数与跑步呈正相关，但与骑行无关。第四，房价与骑行和跑步呈正相关。第五，在新冠疫情期间，学校似乎对这两种类型的身体活动起到了抑制作用。本研究为城市规划者、从业者和决策者提供了实际意义（如绿地规划和公共空间管理）。
