Urban Thermal Comfort and Cellular Automata
Photo credit Emeka Nwosu
Author Emeka Nwosu
This project develops an algorithm and computational tool that integrates cellular automata (CA) as a generative design (GD) system for pedestrian behaviour prediction in response to thermal discomfort.
The emphasis is on the measurement of perceived outdoor Solar radiation temperature and its optimization through shade trees in an Urban Park. A Cellular Automata model with specific rule-set was used to predict user behaviour in response to the high solar radiation with the MRT values as the evaluation Index. The aim was to find new points of interest for placement of shade trees, in order to improve the general temperature of the urban park during the summer.
