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Updated: Jan 9, 2026
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Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running
Published on: July 17, 2020
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Associations between the built environment and jogging behaviour based on voluntarily contributed tracking data: a
Dengkai Huang1, Wenjun Xu1, Marco Helbich2
1State Key Laboratory of Subtropical Building and Urban Science, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, 518060, China.
International Journal of Health Geographics
|December 10, 2025
Summary
The built environment significantly impacts running behavior, with factors like floor area ratio and land use mix showing the strongest influence. Future research should integrate diverse geospatial data and analyses to create cities that encourage running and improve public health.
Area of Science:
- Urban planning and public health
- Geospatial analysis of physical activity
- Environmental determinants of health behaviors
Background:
- The built environment influences engagement in physical activity like running, crucial for public health.
- Existing research on built environment and running behavior is inconsistent, lacking quantified effect sizes.
- Gaps exist in utilizing emerging geospatial data, such as volunteered geographic information (VGI), to understand runnability.
Purpose of the Study:
- To synthesize literature and meta-analyze the effects of the built environment on jogging behavior.
- To identify methodological limitations in current research.
- To propose future research priorities for promoting running-inclusive urban environments.
Main Methods:
- Systematic literature search across three databases (Web of Science, Scopus, PubMed) up to December 31, 2024.
- Meta-analysis of 14 studies using VGI-derived physical activity data to calculate pooled effect sizes.
- Inclusion of 39 studies from 1,884 identified articles.
Main Results:
- Floor area ratio demonstrated the largest effect size, followed by land use mix and blue space density.
- Natural environment features positively correlated with running activity; terrain slope showed context-dependent effects.
- Methodological limitations included insufficient spatiotemporal analysis and reliance on single-platform VGI data.
Conclusions:
- Future research should utilize dynamic spatiotemporal modeling and integrate multi-platform VGI with participatory GIS.
- Employing equity-focused metrics and demographic-stratified analyses is recommended.
- These strategies will inform urban planning for running-inclusive environments and population health.
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