The structural optimization of urban green space (UGS) is especially important as a crucial component in enhancing thermal comfort. Using block-level form space and UGS structural classification, this study investigates how different UGS spatial types affect thermal comfort at the neighborhood scale. It also examines the relationship between the green space landscape pattern index and thermal comfort. The findings show that, first, there are significant differences in the optimal green space structure types across different spatial typologies. The optimal green space structure is UGS 3 (low uniformity, high connectivity, low heterogeneity) for Cluster 1 (High-rise buildings, high plot ratio, high density, low green space) and Cluster 5 (Low plot ratio, low density, high green space). UGS 4 (High uniformity, high connectivity, high heterogeneity) for Cluster 2 (Mid-rise buildings, medium plot ratio, medium density, low green space) and Cluster 4(Low buildings, medium plot ratio, medium density, low green space). UGS 6 (low uniformity, medium connectivity, medium heterogeneity) for Cluster 3(Mid-rise buildings, medium plot ratio, medium density, high green space). Furthermore, strong correlations were used for in-depth analysis. The results show that, for Cluster 4 and Cluster 3, the strongly correlated indices are the landscape division index and the landscape shape index, respectively. Finally, UGS structures within each block's morphological space can be converted to their corresponding ideal UGS type by adjusting UGS structural types using highly correlated indices. This improves thermal comfort and successfully reduces UTCI values.
LIU et al. (Fri,) studied this question.