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Assessing and Modelling the Influence of Household Characteristics on Per Capita Water Consumption

Author

Listed:
  • Wa’el A. Hussien

    (University of Exeter)

  • Fayyaz A. Memon

    (University of Exeter)

  • Dragan A. Savic

    (University of Exeter)

Abstract

Sustainable urban water supply management requires, ideally, accurate evidence based estimations on per capita consumption and a good understanding of the factors influencing the consumption. The information can then be used to achieve improved water demand forecasts. Water consumption patterns in the developed countries have been extensively investigated. However, very little is known for the developing world. This paper investigates per capita water consumption resulting from water use activities in different types of households typically found in urban areas of the developing world. A data collection programme was executed for 407 households to extract information on household characteristics, water user behaviour and intensity and the nature of indoor and outdoor water use activities. The rigorous statistical analysis of the data shows that per capita water consumption increases with income: 241, 272 and 290 l/capita/day for low, medium and high income households, respectively. Additionally, the results suggest that per capita consumption increases with the number of adult female members in the household and almost one-third of consumption is via taps. The collected data has been used to develop statistical models using two different regression techniques: multiple linear (STEPWISE) and evolutionary polynomial regression (EPR). The inclusion of demographic parameters in the developed models considerably improved the prediction accuracy. Two of the best performing models are used to forecast the water demand for the city, using four future scenarios: market forces, fortress world, policy reform and great transition. The results suggest that the domestic water demand would be highest in the fortress world scenario due to the increase in population and size of built-up area.

Suggested Citation

  • Wa’el A. Hussien & Fayyaz A. Memon & Dragan A. Savic, 2016. "Assessing and Modelling the Influence of Household Characteristics on Per Capita Water Consumption," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(9), pages 2931-2955, July.
  • Handle: RePEc:spr:waterr:v:30:y:2016:i:9:d:10.1007_s11269-016-1314-x
    DOI: 10.1007/s11269-016-1314-x
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    References listed on IDEAS

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    1. Nauges, Céline & Van Den Berg, Caroline, 2009. "Perception of Health Risk and Averting Behavior: An Analysis of Household Water Consumption in Southwest Sri Lanka," TSE Working Papers 09-139, Toulouse School of Economics (TSE).
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    Cited by:

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    2. Ukasha Ramli, 2021. "Social Norms Based Eco-Feedback for Household Water Consumption," Sustainability, MDPI, vol. 13(5), pages 1-13, March.
    3. Roberta Padulano & Giuseppe Giudice, 2019. "Pattern Detection and Scaling Laws of Daily Water Demand by SOM: an Application to the WDN of Naples, Italy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(2), pages 739-755, January.
    4. Peter Zeisl & Michael Mair & Ulrich Kastlunger & Peter M. Bach & Wolfgang Rauch & Robert Sitzenfrei & Manfred Kleidorfer, 2018. "Conceptual Urban Water Balance Model for Water Policy Testing: An Approach for Large Scale Investigation," Sustainability, MDPI, vol. 10(3), pages 1-24, March.
    5. Azar Niknam & Hasan Khademi Zare & Hassan Hosseininasab & Ali Mostafaeipour & Manuel Herrera, 2022. "A Critical Review of Short-Term Water Demand Forecasting Tools—What Method Should I Use?," Sustainability, MDPI, vol. 14(9), pages 1-25, April.
    6. I-Chun Chen & Kuang-Ly Cheng & Hwong-Wen Ma & Cathy C.W. Hung, 2021. "Identifying Spatial Driving Factors of Energy and Water Consumption in the Context of Urban Transformation," Sustainability, MDPI, vol. 13(19), pages 1-18, September.

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