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Crowdsourced Data for Physical Activity-Built Environment Research: Applying Strava Data in Chengdu, China
Linchuan Yang1, Bingjie Yu1, Pengpeng Liang1
1School of Architecture, Southwest Jiaotong University, Chengdu, China.
Frontiers in Public Health
|May 16, 2022
Summary
Physical activity is influenced by urban design. Green spaces, roads, and housing prices encourage cycling and running, while schools may deter it, especially during pandemics.
Area of Science:
- Urban planning and public health
- Environmental psychology
- Geographic information systems (GIS)
Background:
- Physical inactivity is a global challenge, necessitating research into the built environment's impact on activity.
- Crowdsourced data offers novel insights into urban activity patterns.
Purpose of the Study:
- To assess how the built environment influences cycling and running intensity in Chengdu.
- To analyze these relationships during the COVID-19 pandemic using novel data.
Main Methods:
- Utilized Strava Heatmap data for cycling and running tracks in central Chengdu.
- Developed spatial regression models for 2,788 grids (500x500m) to analyze built environment factors.
Main Results:
- Road density, water bodies, green spaces, stadiums, and enterprises positively correlate with cycling and running.
- River length and light index specifically benefit running, while housing prices support both activities.
- Land-use mix showed no significant effect, and schools appeared to discourage activity.
Conclusions:
- Urban planning elements like green space and road infrastructure are crucial for promoting physical activity.
- Understanding these built environment-activity links can inform targeted interventions for public health.
