Technical Papers
Jul 6, 2015

Integrated Risk-Assessment Framework for Municipal Infrastructure

Publication: Journal of Construction Engineering and Management
Volume 142, Issue 1

Abstract

Decision-makers frequently argue that municipal infrastructure is at risk. Given the current state of risk for infrastructure, municipalities face challenging decisions to plan the integrated repair/renewal of road, water, and sewer (RWS) networks. The research presented in this article identifies a methodology and framework that facilitates decision-making processes used during corridor rehabilitation project planning. A risk-based decision-making approach is developed to aid integrating repair/renewal of RWS assets. The risk model was developed using a mixed Delphi-Analytical Hierarchy Process approach. The impacts of four main consequences of failure with eighteen subfactors were considered. The RWS networks indices were amalgamated and grouped into an overall integrated risk index using K-means Clustering technique. Data provided by the City of Guelph was used in a case study in order to demonstrate the model features. Results show that pipe/road size and accessibility factors had the highest impact on the integrated risk index. The developed models can be used by researchers and practitioners (municipal engineers and consultants) to prioritize corridor rehabilitation projects thereby easing the challenge faced by stakeholders regarding the future of municipal infrastructure.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 142Issue 1January 2016

History

Received: Aug 6, 2014
Accepted: May 11, 2015
Published online: Jul 6, 2015
Discussion open until: Dec 6, 2015
Published in print: Jan 1, 2016

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Authors

Affiliations

Khaled Shahata, Ph.D. [email protected]
P.Eng.
Asset Management Specialist, City of London, ON, Canada N6A 4L9 (corresponding author). E-mail: [email protected]; [email protected]
Tarek Zayed, Ph.D.
P.Eng.
Professor, Dept. of Building, Civil and Environmental Engineering, Concordia Univ., Montreal, QC, Canada H3G 1M8.

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