Human’s general perception of an open space is influenced by architectonical, psychological but a... more Human’s general perception of an open space is influenced by architectonical, psychological but also physical factors. For this reason, it is important to consider environmental comfort as a crucial element when it comes to designing an urban outdoor space [1]. In this paper, we consider the following research questions: in a Mediterranean climate, is it possible to design an outdoor urban space that is thermally comfortable for a longer time-span, usable just as much as an indoor space? Our purpose is to identify the primary influencing factors that designers can modify in a built environment, and to provide guidelines to better understand the effect of alternative parameter settings on the microclimate. To this end, we propose an innovative two-phases design methodology: first, we use simulation to gather data on thermal comfort for selected configurations of parameters; next, we use these data to train a Machine Learning algorithm. The learned model (a decision tree) is used to s...
Human’s general perception of an open space is influenced by architectonical, psychological but a... more Human’s general perception of an open space is influenced by architectonical, psychological but also physical factors. For this reason, it is important to consider environmental comfort as a crucial element when it comes to designing an urban outdoor space [1]. In this paper, we consider the following research questions: in a Mediterranean climate, is it possible to design an outdoor urban space that is thermally comfortable for a longer time-span, usable just as much as an indoor space? Our purpose is to identify the primary influencing factors that designers can modify in a built environment, and to provide guidelines to better understand the effect of alternative parameter settings on the microclimate. To this end, we propose an innovative two-phases design methodology: first, we use simulation to gather data on thermal comfort for selected configurations of parameters; next, we use these data to train a Machine Learning algorithm. The learned model (a decision tree) is used to s...
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Papers by Eleonora Velluto