Beile Su

Mr. Beile Su

orcid

Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 September 2026 in Land
Verified
Journal Article
Open access
PDF file
BSBeile Su
Beile Su
CQCailin Qiu
Cailin Qiu
LZLili Zhang
Lili Zhang
LPLei Pang
Lei Pang
XRXi Ren
Xi Ren
HYHaosen Yang
Haosen Yang
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.