Outdoor human thermal comfort is a complex phenomenon that depends on many meteorological, physiological and psychological factors. In addition, the thermal comfort of people outdoors in urban environments varies spatially. In this master thesis, we used cellular automata and WUDAPT methods to classify local climate zones (LCZ) in the city of Ljubljana. Using the ENVI-met software tool, we quantified and evaluated the outdoor human thermal comfort in selected LCZs of the WUDAPT method by calculating the Universal Thermal Climate Index (UTCI) and the Physiological Equivalent Temperature (PET). The results showed that there were statistically significant differences in outdoor human thermal comfort between most LCZs. Heat stress was highest in LCZ 8 (large lowrise ) and lowest in LCZ A (dense trees). We also found that the presence of green infrastructure had a significant impact on improving outdoor human thermal comfort at the microclimatic level.
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