Study on Camping Behavior Patterns for Thermal Comfort at Riverside Parks

People-oriented landscape experiences have become the focus of park design with increasing demand outdoor activities from urban residents, whereas thermal-comfort-guided has attracted more attention in academic circles. Based on investigation microclimate typical subregions riverside parks, this paper uses AI recognition to analyze spatiotemporal distribution camping crowds, and considers correlation between morphological parameters, microclimates, crowd behavior. Finally, we built a model raise number optimization strategies for design. The results show that such as tree height, crown canopy, sky visibility factor (SVF), can significantly affect air temperature (Ta), relative humidity (RH), physiological (PET) an environment, while hardly affecting wind speed (WS). For Ta moderate behavior, coefficient −0.145 p-value 0.040, corresponding PET was non-significant 0.622. temporal campers per day linear upward trend reasonable goodness-of-fit, adjusted R2 above 0.789 all subregions. based parameters good fit, coefficients height canopy −0.195 1.316, respectively. This study provides theoretical support suggestions parks behavior patterns.