Water Consumption Range Prediction in Huelva’s Households Using Classification and Regression Trees

This paper uses the numerical results of surveys sent to Huelva’s (Andalusia, Spain) households determine degree knowledge they have about urban water cycle, needs, values, and attitudes regarding in an intermediary city with low stress. In previous research, we achieved three different households’ clusters. The first one grouped high integral cycle a positive attitude smart devices at home. second cluster described sensitivity price. third showed average predisposition closer relationship company. continues this research line, applying Classification Regression Trees (CART) which hierarchy variables/factors/independent components obtained from are decisive ones predict range household consumption Huelva. Positive towards improved cleaning habits for personal or purposes highest component range. Second hierarchy, variable Knowledge Global Score associated literacy, also contributes predicting Together clusters previously, these will allow us design demand management strategies (WDM) fit purpose that enable use more efficiently.