Timothy Ogunbode - Environmental Management and Crop Production, College of Agriculture, Engineering and Science, Assistant Professor
Oladotun Ogunlaran - Mathematics Programme, College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria
Victor Oyebamiji - Department of Geography, Obafemi Awolowo University, Ile-Ife, Nigeria
John Akande - ۱Environmental Management and Crop Production Unit, College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria

Spatio-temporal accessibility to water, especially, for household use is expedient to a healthy living. This work attempted the development of predictive models using multiple regression to forecast household water use and also assess the significance of water demand forecasting to water use efficiency and its accessibility in homes. Data used for the study were generated through questionnaire administration and these were analyzed using descriptive and inferential statistics. Domestic water uses consist of ۱۰ defined components (Drinking, Cooking, Bathing, Washing, Cleaning, Car wash, Lawn watering, Coolant/Chiller, Incidental and Livestock) proportionately distributed within Coolant/Chiller and Washing regime and ranged from ۰.۱۲% to ۳۸.۵۳% respectively among the regime components. Results of the regression analyses revealed that two home water use components namely Washing and Car wash predict home water use at ۹۵% level of confidence with R۲ of ۰.۸۷۲ and the Standard Error of ۲۸.۹۱. With this result, Model ۳ showed better accuracy than Models ۱ and ۲ comparatively. The Incidental use component was not significant and may be ignored in the computation. Two predictive components namely Washing and Car wash generally explain excessive use of water in homes and must be considered to enhance the efficient use and unrestricted accessibility of this vital resource.

Household water use, water accessibility, Water use efficiency, Regression Model, water demand forecast