A Mathematical Model Analyzing Household Water Consumption Based on Socioeconomic and Behavioral Factors: Evidence from Primary Field Data in Peshawar
DOI:
https://doi.org/10.64229/zzw15b78Keywords:
Household Water Use, Linear Regression, Household Size, Water-Using Appliances, Income, City Water DemandAbstract
This research creates a simple math model to look at household water use in Peshawar. It uses information collected from 200 homes. The model looks at how family size, income, and the number of appliances that use water affect daily water use. The findings show that family size is the best predictor of water use. Each additional person in a household increases water use. Owning more appliances also increases water use by about 42 liters per appliance each day. This shows how technology affects home water demand. Income also matters, but not as much. It suggests that as people's living standards rise, they will use more water. The model correctly predicts water use 58% of the time. This is pretty good for a simple model. The research shows that simple models are helpful when there isn't much data. It gives practical ideas for policymakers to create conservation and water management plans.
References
[1]Arbués, F., García-Valiñas, M. Á., & Martínez-Espiñeira, R. (2010). Estimation of residential water demand: A state-of-the-art review. Journal of Socio-Economics, 38(4), 625-634. https://doi.org/10.1016/j.socec.2009.03.015
[2]Breyer, B., Chang, H., & Parandvash, G. H. (2022). Household water use and conservation: A data-driven approach. Water Resources Research, 58(4). https://doi.org/10.1029/2022WR032510
[3]Dolnicar, S., & Hurlimann, A. (2010). Desalinated versus recycled water: What does the public think? Sustainable Development, 18(3), 135-148. https://doi.org/10.1002/sd.446
[4]Duncan, H. P., & Mitchell, V. G. (2008). A stochastic demand generator for domestic water use. Journal of the American Water Resources Association, 44(3), 684-693. https://doi.org/10.1111/j.1752-1688.2008.00186.x
[5]Environmental Protection Agency. (2023). Water use statistics for residential homes. https://www.epa.gov
[6]Fielding, K. S., Russell, S., Spinks, A., & Mankad, A. (2012). Determinants of household water conservation: The role of demographic, infrastructure, behavior, and psychosocial variables. Water Resources Research, 48(10). https://doi.org/10.1029/2012WR012398
[7]Gleick, P. H. (2021). The world’s water volume 9: The biennial report on freshwater resources. Island Press.
[8]Grafton, R. Q., Ward, M. B., & Kompas, T. (2017). Determinants of residential water consumption: Evidence and analysis from a 10-year panel. Applied Economics, 49(19), 1891-1901. https://doi.org/10.1080/00036846.2016.1221045
[9]Inman, D., & Jeffrey, P. (2006). A review of residential water conservation tool performance and influences on implementation effectiveness. Urban Water Journal, 3(3), 127-143. https://doi.org/10.1080/15730620600961288
[10]Jia-hong, L., Yue, L., & Jian-hua, W. (2013). A mathematic model for rational domestic water demand considering climate and economic development factors. Journal of Hydraulic Engineering, 44(10), 1208-1214. https://doi.org/10.13243/j.cnki.slxb.2013.10.017
[11]Lombardi, F., Silvagni, G., Sirini, P., Passariello, G., & Cintura, S. (2018). Daily water demand: A probabilistic approach to evaluate household behavior. Water, 10(6), 696. https://doi.org/10.3390/w10060696
[12]Rachunok, B., Verma, A., & Fletcher, S. (2023). Predicting and understanding residential water use with interpretable machine learning. Environmental Research Letters, 18(12), 124015. https://doi.org/10.1088/1748-9326/ad1434
[13]Wentz, E. A., Kim, Y., & Myint, S. W. (2014). Factors influencing water consumption in multifamily housing in Phoenix, Arizona. Professional Geographer, 66(3), 501-510. https://doi.org/10.1080/00330124.2013.872144
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Copyright (c) 2025 Zia Ullah, Ayaz Ahmad, Hassan Khan, Mohib Ullah (Author)

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