Perceptions of human thermal comfort in an urban tourism destination – A case study of Porto (Portugal)

Abstract

Tourism is one of the fastest growing economic sectors on an international scale. Based on this growth, it became necessary to consider climatic-meteorological conditions as determinants for boosting tourism in some geographical areas. The main objective of this paper is to characterize the perception of bioclimatic comfort of tourists who visited the city of Porto in the summer seasons of 2019 and 2020 (in the on-going pandemic). Primary data were obtained from a questionnaire on perceptions of bioclimatic comfort and microclimatic measurements applied to 207 tourists in the summer of 2019, 146 in the winter of 2019–2020 and 210 in the summer of 2020. It took place in one of the main places of passage for tourists visiting the city of Porto. Based on statistical analysis, responses were parameterized according to the environmental and sociodemographic characteristics of the tourists. In addition, summary indicators (Physiological Equivalent Temperature – PET, Thermal Sensation Vote – TSV, Thermal Preference Vote – TPV) were used to characterize the profile of visiting tourists. The influence of microclimate conditions on the thermal comfort of tourists was evident, showing, however, that they still felt comfortable regardless of the situation. The results demonstrated a good effort to reduce thermal discomfort through adapted behavior. Air temperature and relative humidity seem to be more directly related to mean thermal sensation votes in the summer of 2019 (r2 = 0.86 and r2 = 0.68, respectively). In the winters of 2019–2020 and summer of 2020, these indicators do not show such a strong correlation. Anyway, it is verified that there is a greater tolerance for higher and lower temperatures than those that are verified for the residents, when compared to previous studies. The consideration of average thresholds for thermal comfort in tourism is crucial. In future studies and planning proposals, it will be necessary to consider the optimal climatic conditions of local climate change adaptation and mitigation policies.