Assess how urban blue-green spaces and heat interact to influence jogging-based public space use using ML and SEM analyses.
Key Takeaways
- Crowdsourced jogging data were analyzed with nine machine learning models and SEM
- Distance to vegetation, green view, sky view, and land surface temperature predicted jogging flow
- SEM showed green and blue spaces increased jogging flow while heat stress reduced it