Cost forecast model for sewer infrastructure

Sewer authorities are facing the onerous task of planning strategies for allocating funding levels to rehabilitate aging sewer infrastructure. Numerous modelling approaches have been developed by previous researchers that predict future condition based on various physical criteria. This paper develops a cost forecast model that employs a deterioration prediction. The deterioration model uses condition assessment data from inspections and incorporates these into a logit regression model that includes five independent parameters: age; waste type; material type; diameter; and depth. The deficiency probability generated from the logit regression model provides the catalyst for the cost forecasting model of sewer infrastructure presented in this paper.