Identifying Rehabilitation Options for Optimum Improvement in Municipal Asset Condition
Publication: Journal of Infrastructure Systems
Volume 21, Issue 2
Abstract
Sustainability in municipal services calls for a comprehensive asset management approach that balances between the needs of a growing portfolio of aging infrastructure and the increased demand(s) arising from new growth—all while staying within the financial means of the community. Best practices for municipal asset management require municipalities and communities to clearly define and state their respective goals that reflect their expectations in terms of level of service. The challenge lies in the fact that asset performance from a community perspective may be quite different from that of a municipal perspective. There is need to interrelate the two perspectives and accordingly determine the optimum quantity of improvement required in the condition of a municipal asset. A complete solution should lead to the most appropriate technique for asset rehabilitation. A methodology to address these issues is proposed and illustrated that identifies and adopts: (1) a model to express asset level of service, (2) a model to measure asset condition based on performance, and (3) a fuzzy logic–based method that maps the level of service to the asset condition rating. Based on the inputs of these models, a structured method for analyzing the capacity and suitability of rehabilitation techniques is designed. Case study of a water main is presented to illustrate the concept and to quantitatively demonstrate the implementation of the methodology. This methodology will assist municipal asset managers to quantify the condition improvement required in their assets, in order to meet service goals, and to thereby make more informed decisions on the type and priority of rehabilitation.
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Acknowledgments
The authors would like to acknowledge the financial support extended for this study by the Natural Sciences and Engineering Research Council of Canada (NSERC). Further, the authors deeply appreciate Tony DiFruscia, Director of Strategic Planning Water Network, City of Montreal (East), for his cooperation during the course of this study.
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Information & Authors
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Published In
Journal of Infrastructure Systems
Volume 21 • Issue 2 • June 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Apr 15, 2013
Accepted: Mar 14, 2014
Published online: Jun 26, 2014
Discussion open until: Nov 26, 2014
Published in print: Jun 1, 2015
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