MATHEMATICAL MODELS FOR MONITORING PHYSICAL CONDITION OF RESIDENTIAL BUILDINGS FOR SUSTAINABLE MAINTENANCE IN TAMBARI HOUSING ESTATE, BAUCHI STATE, NIGERIA

This research aimed to developed a predictive mathematical model for sustainable residential building maintenance and assessed the level of physical condition of residential buildings in Tambari Housing Estate (Bauchi state). A case study design approach was adopted for this research to develop models for sustainable residential building maintenance and the population consists sof the personnel and some selected buildings of the Estate. The survey method using structured questionnaire was adopted throughout the research work. Thus, sixty (60) questionnaires were distributed and total o forty-eight (48) questionnaires were collected back and used for the analysis. Data collected were analyzed using descriptive statistics and regression analysis. Tables were used to display the percentage and frequency of distribution. Multiple regression model was used to establish relationship between the dependent variable (physical condition of buildings) and other predictor variables. Statistical Package for Social Science (SPSS) software, version 17, was used to further analyze the data using mean and standard deviation. The result findings based on the responses of the respondents shows that the physical condition of their buildings is very poor and need attention for the sustainability of the residential buildings. It also shows that the level of maintenance of residential buildings is very poor and the developed model is appropriate for monitoring and quick evaluation of residential building maintenance.