Abstract
In this paper, a maintenance prediction model is developed for school building assets using a large data set provided by the Queensland Department of Education and Training (DET). DET data on the asset condition, historical maintenance expenditure, and asset characteristics, was analyzed to evaluate which characteristics affect the maintenance needs of the school assets. The condition of the assets was quantified using data on the estimated maintenance backlog. Using statistical methods, models for key building element groups were constructed and the statistical significance of each factor was evaluated. It was found that the school region, the gross floor area, and the maintenance expenditure significantly affected the degradation of key building element groups.
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