ISSN 2756-3308
African Journal of Estate and Property Management Vol. 1 (5), pp. 166-176, May, 2014. © International Scholars Journals
Full Length Research Paper
Building typology in the estimate of demand for drinking water in developing country towns and cities: Application to Yaoundé - Cameroon
Arit Burgus1, Temeka Benson2 and Stephen Aoster2
1FASA, The University of Dschang, P. O. Box 222, Cameroon.
2Laboratory of Civil Engineering and Design Sciences, Department of Civil Engineering, ENSP, The University of Yaoundé I, P. O. Box 8390, Cameroon.
*Corresponding author. E-mail: [email protected].
Accepted 12 April, 2014
Abstract
The lack of mastery of housing problems in developing countries causes difficulties in the forecasting of the demand for potable water, which in turn causes waste and high cost of water. We modeled the forecasting of the demand for potable water in a city, taking into account the housing typology. The latter depends on parameters such as: household income, size of households, price of water, annual rainfall height, the average summer temperatures, the number of households and the number of subscribers to the existing water distribution network. The stratification of a town was done using a definition of the housing typology and using multiple linear regression, the total potable water consumption was estimated to depend on the aforementioned parameters. This was applied to Yaoundé in Cameroon for the years 2020 and 2035, and the results obtained yield forecasts for the demand for potable water of 115 778 781 m3 and 281 815 641 m3 respectively, with a distribution yield of 70%. This leads to the deduction that the demand for potable water, as well as investment requirements as previously assessed were overestimated, thus restricting new extensions in the districts where the drinking water problem of demand for drinking water was solvable.
Key words: Housing typology, forecast, consumption, modeling, multiple linear regressions.