Shading is one of the most effective strategies to mitigate urban local-scale heat stress during summer. Therefore, this study investigates the effects of shading caused by buildings and trees via exhaustive field measurement research on urban outdoor 3D radiant environment and human thermal comfort. We analyzed the characteristics of micrometeorology and human thermal comfort at shaded areas, and compared the difference between building and tree shading effects as well as that between shaded and sunlit sites. The results demonstrate that mean radiant temperature T_mrt (mean reduction values of 28.1°C for tree shading and 28.8°C for building shading) decreased considerably more than air temperature T_a (mean reduction values of 1.9°C for tree shading and 1.2°C for building shading) owing to shading; furthermore, the reduction effect of shading on UTCI synthesized the variation in the above two parameters. Within the shaded areas, short-wave radiant components (mean standardized values of 0.104 for tree shading and 0.087 for building shading) decreased considerably more than long-wave radiant components (mean standardized values of 0.848 for tree shading and 0.851 for building shading) owing to shading; the proportion of long-wave radiant flux densities absorbed by the reference standing person was high, leading to a relatively high long-wave mean radiant temperature, and R² between long-wave mean radiant temperature and air temperature exceeded 0.8. Moreover, the directional sky view factor (SVF) was utilized in this study, and it showed significant positive correlation with short-wave radiant flux densities, but no statistically evident correlation with long-wave radiant flux densities. Meanwhile, T_mrt was most relevant with SVF_S⟶ with R² of 0.9756. Furthermore, UTCI rose two categories at the sunlit areas compared with that at the shaded areas. In contrast, T_a and T_mrt played the first positive role in UTCI at shaded and sunlit areas, respectively.

University campuses have various functional outdoor spaces characterized by diversified spatial morphology. This study focuses on the local thermal environment of a university campus by conducting fixed weather station monitoring and a mobile survey on a typical summer day. Questionnaire results of college students accompanied by the surrounding climatic conditions reveal obvious linear relationships between thermal sensation voting (TSV) and thermal index physiological equivalent temperature (PET). The range from 29.16 °C to 32.04 °C of the PET is discussed as evaluating the thermal neutral sensation. The PET variations at nine test sites are different due to their different surrounding environments. Mobile survey results across the whole university campus emphasize that the PET varied with time and space in local zones. Spatial differences in the thermal environment are small at 9:00 and larger at 14:00. A correlation analysis of the local T_a and relative humidity (RH) reveals the different effects of spatial morphology characteristic parameters. After calculating the averaged PET values of local zones, problem zones with a higher PET exceeding the thermal neutral limit are recognized. Appropriate optimization on the geometry layouts and land cover patterns is proposed, which would help guide environmentally comfortable university campus design.

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