Exercise & Training

Analysis of spatiotemporal characteristics and influencing factors of residents' physical activity in urban green spaces.

TL;DR

Park-based physical activity in Zhengzhou urban parks is associated with both temporal rhythms tied to daily work-rest cycles and perceived environmental conditions, with facility provision, perceived safety, and management of noise and crowding emerging as particularly relevant factors for sustaining park use.

Key Findings

Activity frequency in urban parks was higher on weekends than on weekdays, with peaks occurring mainly during midday and evening periods.

  • Data were collected through systematic field observations yielding 18,650 valid activity records geo-tagged via GPS across six typical urban parks in Zhengzhou, China.
  • Temporal patterns reflected daily work-rest cycles of park users.
  • Activity timing concentrated around midday and evening periods rather than being evenly distributed throughout the day.

Middle-aged and older adults represented the largest share of observed park users across the six studied urban parks.

  • Age-group differences were identified through systematic field observations of 18,650 valid activity records.
  • Group-specific patterns were compared using GIS-based spatial analysis.
  • The study documented differences across gender, age group, and activity intensity in park use patterns.

Physical activity hotspots were spatially concentrated in leisure, fitness, and recreation zones within the parks, with differences across gender, age group, and activity intensity.

  • GIS-based spatial analysis was used to identify activity hotspots across six typical urban parks.
  • Volunteered Geographic Information (VGI) comprising OpenStreetMap-sourced park boundary and facility data were used to document spatiotemporal patterns.
  • Spatial differentiation was observed based on gender, age group, and activity intensity within park zones.

Perceived safety, facility convenience, and environmental quality were positively associated with PA-related outcomes at the individual level.

  • Individual-level analyses were based on questionnaire data from 345 valid responses.
  • Associations were identified between perceived environmental conditions and self-reported PA outcomes.
  • These findings are analytically distinct from the observational spatiotemporal data, serving complementary but separate analytical purposes.

Perceived noise and crowding tended to show negative associations with PA-related outcomes.

  • Questionnaire-based individual-level analyses examined associations between perceived environmental conditions and PA-related outcomes.
  • 345 valid questionnaire responses provided the individual-level basis for these associations.
  • Noise and crowding were identified alongside safety, facility convenience, and environmental quality as relevant perceived environmental factors.

The study employed a multi-source dataset combining systematic field observations, questionnaires, and Volunteered Geographic Information to examine park-based physical activity.

  • Field observations yielded 18,650 valid activity records geo-tagged via GPS.
  • Questionnaire data comprised 345 valid responses.
  • VGI data comprised OpenStreetMap-sourced park boundary and facility data.
  • The two main data sources served 'complementary but analytically distinct purposes': observational and VGI data documented spatiotemporal patterns, while questionnaire data examined perceived environment associations.
  • Six typical urban parks in Zhengzhou, China were studied.

What This Means

This research suggests that when and where people exercise in urban parks follows predictable patterns tied to daily life routines. Researchers tracked physical activity across six parks in Zhengzhou, China, collecting over 18,000 GPS-tagged observations alongside surveys from 345 park visitors. They found that park use was busier on weekends than weekdays, that activity clustered during midday and evening hours, and that middle-aged and older adults made up the largest group of park users. Within parks, exercise activity was not spread evenly — it concentrated in specific zones designed for leisure, fitness, and recreation, and these hotspots differed depending on people's age, gender, and the intensity of activity they were doing. The survey portion of the study revealed that how people perceive their park environment matters for how much physical activity they report getting. When park visitors felt the space was safe, facilities were convenient, and the environment was pleasant, they reported more physical activity. Conversely, when parks felt noisy or crowded, people reported less physical activity. These findings point to specific design and management factors — such as providing adequate facilities, improving perceived safety, and controlling noise and crowding — as potentially important for encouraging people to use parks for exercise. This research suggests that park planners and city managers could improve physical activity levels among residents by paying attention to both the physical layout of parks and the day-to-day experience of using them. However, the authors caution that these findings come from one Chinese city and may not apply universally — similar research in more diverse urban settings would be needed before drawing broader conclusions.

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Citation

Liu X, Chao J. (2026). Analysis of spatiotemporal characteristics and influencing factors of residents' physical activity in urban green spaces.. Frontiers in public health. https://doi.org/10.3389/fpubh.2026.1710326