Assessment of infrastructure inspection needs using logistic models

Samuel Ariaratnam, Ashraf El-Assaly, Yuqing Yang

Research output: Contribution to journalArticle

101 Citations (Scopus)

Abstract

Use of various deterioration models in the area of infrastructure management has provided decision makers with a vehicle for predicting future deterioration. This paper presents a methodology for predicting the likelihood that a particular infrastructure system is in a deficient state, using logistic regression models, a special case of linear regression. What distinguishes these two models is that the outcome variable in the logistic regression model is binary or dichotomous and assumes a Bernoulli distribution. The methodology is illustrated in a case study involving the evaluation of the local sewer system of Edmonton, Alta. Canada. Variables of age, diameter, material, waste type, and average depth of cover are modeled, using historical data, as factors contributing to deterioration of the sewer network. The outcome of this model does not produce a prediction of condition rating but rather uses historical inspection records to provide decision makers with a means of evaluating sewer sections for the planning of future scheduled inspection, based on the deficiency probability.

Original languageEnglish (US)
Pages (from-to)160-165
Number of pages6
JournalJournal of Infrastructure Systems
Volume7
Issue number4
DOIs
StatePublished - Dec 2001

Fingerprint

Logistics
logistics
Inspection
infrastructure
Sewers
Deterioration
regression
decision maker
sewer network
methodology
Linear regression
rating
inspection
need
Canada
Planning
planning
prediction
evaluation
management

ASJC Scopus subject areas

  • Transportation
  • Ocean Engineering
  • Water Science and Technology

Cite this

Assessment of infrastructure inspection needs using logistic models. / Ariaratnam, Samuel; El-Assaly, Ashraf; Yang, Yuqing.

In: Journal of Infrastructure Systems, Vol. 7, No. 4, 12.2001, p. 160-165.

Research output: Contribution to journalArticle

Ariaratnam, Samuel ; El-Assaly, Ashraf ; Yang, Yuqing. / Assessment of infrastructure inspection needs using logistic models. In: Journal of Infrastructure Systems. 2001 ; Vol. 7, No. 4. pp. 160-165.
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