Building running-friendly cities: effects of streetscapes on running using 9.73 million fitness tracker data in Shanghai, China
Year: 2024
Type: article
Abstract: The association between built environment and physical activity has been recognized. However, how and to what extent microscale streetscapes are related to running activity remains underexplored, partly due to the lack of running data in large urban areas. Moreover, few studies have examined the interactive effects of macroscale built environment and microscale streetscapes. This study examines the main and interactive effects of the two-level environments on running intensity, using 9.73 million fitness tracker data from Keep in Shanghai, China. Results of spatial error model showed that: 1) the explanatory power of microscale streetscapes was higher than that of macroscale built environment with R 2 of 0.245 and 0.240, respectively, which is different from the prior finding that R 2 is greater for macroscale built environment than for microscale streetscape; 2) sky and green view indexes were positively associated with running intensity, whereas visual crowdedness had a negative effect; 3) there were negative interactions of land use Herfindahl–Hirschman index with sky and green view indexes, while a positive interaction was observed for visual crowdedness. To conclude, greener, more open and less visually crowded streetscapes, can promote running behavior and enhance the benefits of land use mix as well. The findings highlight the importance of streetscapes in promoting running behavior, instead of a supplement to macroscale built environment.
Source: BMC Public Health
Authors: Huagui Guo, Shuyu Zhang, Yufei Liu, Runrong Lin, Jiang Liu
Institutions: Fuzhou University, Fujian University of Technology
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $3,190
Awards: G2423391317, G8238534276
OpenAlex ID: W4401729448