Crowdsourced Data for Physical Activity-Built Environment Research: Applying Strava Data in Chengdu, China

Frontiers in Public Health

article

Linchuan Yang¹  Bingjie Yu¹  Xianglong Tang¹  Ji Li¹ 

[1] School of Architecture, Southwest Jiaotong University

关键词: physical environment;    cycling;    running;    spatial inequality;    Strava;    health;    physical activity;    Chengdu;   

DOI  :  10.3389/fpubh.2022.883177

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

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 ( N = 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.

【 授权许可】

CC BY