The use of artificial intelligence as a decision support system for residential urban environments

This research used neural networks to develop a decision support system, and model the relationship between one's living environment and residential satisfaction. Residential satisfaction was investigated at two affordable housing multifamily rental properties. The neural network was trained using data from Defoors Ferry Manor and the network was validated using data from Moores Mill. The neural network accurately categorized ninety-eight percent of the cases in the training set and ninety-three percent of the cases in the validation test set. In brief, this research attempts to use neural networking to model the relationship between one's living environment and residential satisfaction.