Cost forecast model for sewer infrastructure

A. El-Assaly, Samuel Ariaratnam, J. Ruwanpura, H. Ng

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)155-160
Number of pages6
JournalProceedings of the Institution of Civil Engineers: Municipal Engineer
Volume159
Issue number3
DOIs
StatePublished - Nov 21 2006

Keywords

  • Maintenance & inspection
  • Municipal & public service engineering
  • Sewers & drains

ASJC Scopus subject areas

  • Civil and Structural Engineering

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