MULTI-OBJECTIVE OPTIMIZATION FOR URBAN TREES PATTERN TO IMPROVE PEDESTRIAN THERMAL COMFORT IN OPEN SPACES OF EDUCATIONAL CAMPUSES

Abstract

After the aggravation of urban heat island (UHI) and its hazards, utilizing multi-benefits produced from trees is fundamental to enhance open spaces quality either through users health or on built environment; however, most of locally urban planners and designers in Egypt still commonly believe that the landscape is only a makeup tool for an aesthetic urban context, regardless its multiple climatic functioning dimension. Therefore, this research highlights the importance of multi-objective algorithm in compare to single-objective algorithm and reflects its impact on trees design in semi-open spaces in university campus in Egypt where students spend long time in the spaces, moreover, operational time of this kind of space experiences effect of specified seasons. The research applied hybrid simulation between Envi-met and Climatestudio- grasshopper programs in order to utilize strength of each to enhance users thermal comfort and maximize reduction of solar irradiance on the attached facade. Two types of common trees were applied. Research results show difference between design on multi-objective and single objective, moreover, few trees can substantially improve thermal comfort and efficiently shade building façade in educational campus.