Author(s): T. M. X. M. Lopes; A. D. M. Junior; S. M. O. Da Silva; J. G. S. M. Uchoa
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Abstract: Mekonnen and Hoekstra (2016) estimated that four billion people worldwide live in areas that experience water shortages at least once a year. It is necessary to know the aspects that interfere with urban water demand for an efficient water resources management. In this context, decision trees (DTs) have been used in studies to build water demand projection models (Shuang and Zhao, 2021; Abu-Bakar et al., 2021). Several studies consider different socioeconomic factors (Darr et al., 1976; Alamanos et al., 2020; Panagopoulos, 2014). In addition, the recent study of Brentan et al. (2017) reported that social and environmental aspects should be considered when building water demand projection models. In this scenario, this work aims to identify the socioeconomic variables that contribute most to the water demand of Fortaleza city, the fifth largest city in Brazil by population, using DTs in conjunction with the Gini index.
Year: 2022