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Asset Levels of Service-based Decision Support System for Municipal Infrastructure Investment Open Access

Descriptions

Other title
Subject/Keyword
Asset Levels of Service
Asset Management
Infrastructure Management
Decision support systems
Multiobjective analysis
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Sharma, Vishal
Supervisor and department
Dr. Hassan Safouhi, Campus Saint Jean, University of Alberta
Dr. Mohamed Al-Hussein, Department of Civil and Environmental Engineering,University of Alberta
Examining committee member and department
Dr. Hassan Safouhi, Campus Saint Jean, University of Alberta
Dr. Ergun Kuru, School of Mining and Petroleum Engineering, University of Alberta
Dr. Charles Robin Lindsay, Department of Economics, University of Alberta
Dr. Tarek Hegazi (Hegazy), Department of Civil Engineering, University of Waterloo
Dr. Mohamed Al-Hussein, Department of Civil and Environmental Engineering,University of Alberta
Dr. Yasser Mohamed, Department of Civil and Environmental Engineering, University of Alberta
Department
Department of Civil and Environmental Engineering
Specialization

Date accepted
2009-12-18T15:21:35Z
Graduation date
2010-06
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
The single biggest challenge facing municipalities today is a shortage of funds and labor for upgrading and expanding aging infrastructure. This continued lack of funding impairs the municipalities’ ability to maintain desired levels of service. Over the last decade, many Canadian municipalities have faced pressures of increasing complexity in infrastructure asset management decision-making which can be partly attributed to cost escalation, increasing service demand and interdependencies between networks. The goal of this research is to develop the framework for Asset Levels of Service (ALOS)-based decision support systems for municipal infrastructure network investment. The proposed framework is based on the fact that ALOS should be one of the main criteria for municipal infrastructure maintenance, repair and rehabilitation (MR&R). Since ALOS is based on qualitative and quantitative parameters, the use of ALOS in municipal infrastructure MR&R decisions will result in improved funding allocation. Secondary parameters used for municipal infrastructure investment decision making in the proposed framework are the physical deterioration of assets, future growth and the impact on the dependent infrastructure network. The proposed framework focuses on funding allocation for the MR&R of municipal networks. The framework is applicable to municipal infrastructure networks, excluding the other assets such as buildings, parks, etc. Application of the proposed framework is demonstrated by its implementation in the case of urban roads. Implementation is carried out in four phases. Phase I involves the quantification of ALOS for urban roads. Quantification of ALOS for urban roads has various challenges such as multiple users and interdependencies of levels of services between various users. An Analytical Hierarchy Process (AHP) has been used to quantify ALOS. Phase II involves the determination of a multiattribute utility function for investment decision. Calculated multiattribute utility of investment decision is used in the multiobjective optimization model in Phase III. In Phase IV, the proposed methodology is incorporated into a computer application called OPTIsys (OPTImum Infrastructure SYStems). OPTIsys will facilitate MR&R decision making based on fully integrated considerations of ALOS, future demand and network interdependencies. Stakeholders benefiting from OPTIsys include the general public, asset-managers, infrastructure departments and municipal councils. OPTIsys will enable infrastructure departments to maintain the operational capability of the network in compliance with the targeted levels of service. Overall, municipalities will be able to reduce the infrastructure deficit while maximizing economic returns.
Language
English
DOI
doi:10.7939/R3XB0P
Rights
License granted by Vishal Sharma (vsharma@ualberta.ca) on 2009-12-17T20:41:45Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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