Built-Environment Associations with Platform-Observed Exercise Across Commuting-Time Burden Groups: A Spatial Analysis of Exercise Trajectories in Central Jinan

Long commuting times may constrain opportunities for exercise, but evidence remains limited on whether built-environment associations vary across area-level commuting-time burden. This cross-sectional spatial study analyzed 229,563 June 2024 Keep walking, running and cycling trajectories aggregated to 5802 500 m × 500 m grid cells in central Jinan, China. A within-mode, sample-relative activity index based on GPS-reconstructed distance and mean speed classified trajectories into low-, medium- and high-activity groups. Four theory-defined built-environment composites were examined using PPML models with distance to the urban-core reference, district fixed effects and 391 commuting-location clusters; primary models included 5012 grids. Green/recreation, street/public-transport accessibility and development intensity were positively associated with total and activity-specific trajectory counts in the primary models, whereas daily service provision was not independently associated. Continuous commuting time was not statistically associated with any outcome, and no built-environment dimension showed FDR-adjusted overall moderation. Alternative distance–speed weights did not alter the activity-specific conclusions. However, the green/recreation association was substantially attenuated after adjustment for the origin-based observed platform user base, while the street/transit association was sensitive to trajectory assignment and exposure specification. These findings support cautious interpretation of area-level platform-observed activity associations.

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Publication Details

Journal
Land
Published
2026-09-13
DOI
https://doi.org/10.3390/land15091694
Primary Topic
Urban Transport and Accessibility
Type
article
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article

Built-Environment Associations with Platform-Observed Exercise Across Commuting-Time Burden Groups: A Spatial Analysis of Exercise Trajectories in Central Jinan

Lei Pang, Qiu Cailin, Haosen Yang, Beile Su et al.
Land
Urban Transport and Accessibility
article

Built-Environment Associations with Platform-Observed Exercise Across Commuting-Time Burden Groups: A Spatial Analysis of Exercise Trajectories in Central Jinan

Lei Pang, Qiu Cailin, Haosen Yang, Beile Su, Lili Zhang, Xi Ren
article en

Abstract

Long commuting times may constrain opportunities for exercise, but evidence remains limited on whether built-environment associations vary across area-level commuting-time burden. This cross-sectional spatial study analyzed 229,563 June 2024 Keep walking, running and cycling trajectories aggregated to 5802 500 m × 500 m grid cells in central Jinan, China. A within-mode, sample-relative activity index based on GPS-reconstructed distance and mean speed classified trajectories into low-, medium- and high-activity groups. Four theory-defined built-environment composites were examined using PPML models with distance to the urban-core reference, district fixed effects and 391 commuting-location clusters; primary models included 5012 grids. Green/recreation, street/public-transport accessibility and development intensity were positively associated with total and activity-specific trajectory counts in the primary models, whereas daily service provision was not independently associated. Continuous commuting time was not statistically associated with any outcome, and no built-environment dimension showed FDR-adjusted overall moderation. Alternative distance–speed weights did not alter the activity-specific conclusions. However, the green/recreation association was substantially attenuated after adjustment for the origin-based observed platform user base, while the street/transit association was sensitive to trajectory assignment and exposure specification. These findings support cautious interpretation of area-level platform-observed activity associations.

LandVol. 15(9)
University of Jinan (CN), University Transportation Research Center (US), Shandong Jianzhu University (CN), Southwest Jiaotong University (CN), Fuzhou University (CN)
Sustainable cities and communities
Openalex Percentile: Top 6%
Urban Transport and Accessibility
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