2009
DOI: 10.1016/j.jenvman.2009.08.009
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Household water use behavior: An integrated model

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Cited by 301 publications
(256 citation statements)
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“…Several studies have shown that domestic water consumption varies significantly according to the characteristics of the properties, and also due to different water usage behaviours found in individual households [6,9,11,12]. This highlights the importance of an analysis of water consumption at the level of individual households.…”
Section: Introductionmentioning
confidence: 99%
“…Several studies have shown that domestic water consumption varies significantly according to the characteristics of the properties, and also due to different water usage behaviours found in individual households [6,9,11,12]. This highlights the importance of an analysis of water consumption at the level of individual households.…”
Section: Introductionmentioning
confidence: 99%
“…An adequate adjustment level was obtained for the models that were developed in comparison with the results of other water consumption assessment models that incorporate socioeconomic variables [5]. When the treatment group corresponded with all of the programme's beneficiaries, the adjusted model (A) managed to explain 46% of variance in the data.…”
Section: Estimation Of the Mvap Programme's Impact On Consumptionmentioning
confidence: 99%
“…Residential demand for water has been studied with different objectives, such as for forecasting, estimation of price elasticity, analysis of factors determining consumption and user behaviour, among others [1][2][3][4][5]. Estimating residential demand for water is considered a requirement to plan for any policy on water.…”
Section: Introductionmentioning
confidence: 99%
“…Over larger spatial and temporal scales, changes in water demand are difficult to project and add a level of epistemic uncertainty to any water resources planning decision. Water managers often rely on extrapolation processes (Jorgensen et al, 2009;House-Peters and Chang, 2011), yet this process has not been entirely successful, with the UK's largest reservoir at Kielder built to meet projections which did not foresee the decline in heavy 5 industry in the North of England (Walker, 2012), a clear case of the impact of epistemic uncertainty about future boundary conditions but which, opportunely, has served to mitigate the effects of drought in the area. This type of uncertainty, combined with data gaps, makes the modelling tools available largely inadequate to predict drought impacts.…”
Section: Uncertainty Quantification Related To the Consequences Of Namentioning
confidence: 99%