Optimized holistic municipal right-of-way capital improvement planning

Abstract: Much of North America’s critical municipal right-of-way (ROW) infrastructure is facing a severe deficit in planned maintenance, rehabilitation, and renewal spending. An optimized holistic approach for capital improvement planning allows for the consideration of contiguity savings and effic...

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Main Authors: Carey, Brad, Lueke, Jason
Format: Journal Article
Published: Canadian Society of Civil Engineering 2013
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/43277
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author Carey, Brad
Lueke, Jason
author_facet Carey, Brad
Lueke, Jason
author_sort Carey, Brad
building Curtin Institutional Repository
collection Online Access
description Abstract: Much of North America’s critical municipal right-of-way (ROW) infrastructure is facing a severe deficit in planned maintenance, rehabilitation, and renewal spending. An optimized holistic approach for capital improvement planning allows for the consideration of contiguity savings and efficiencies through the synchronization of rehabilitation and renewal projects for collocated segments from different ROW infrastructure component systems. This paper presents the results of the application of a holistic methodology to a small ROW network made up of segments of varying condition and criticality. This methodology was developed utilizing an evolutionary genetic algorithm to optimize a five-year capital improvement plan. The results from the application of the holistic model to an existing ROW network indicate that it is successful in achieving savings through synchronization and in providing superior maintenance, rehabilitation, and renewal plans when compared to the traditional paradigm where independent plans are created for road, sewer, and water utilities.
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spelling curtin-20.500.11937-432772018-12-14T00:51:30Z Optimized holistic municipal right-of-way capital improvement planning Carey, Brad Lueke, Jason genetic algorithms maintenance optimization renewal infrastructure capital planning rehabilitation Abstract: Much of North America’s critical municipal right-of-way (ROW) infrastructure is facing a severe deficit in planned maintenance, rehabilitation, and renewal spending. An optimized holistic approach for capital improvement planning allows for the consideration of contiguity savings and efficiencies through the synchronization of rehabilitation and renewal projects for collocated segments from different ROW infrastructure component systems. This paper presents the results of the application of a holistic methodology to a small ROW network made up of segments of varying condition and criticality. This methodology was developed utilizing an evolutionary genetic algorithm to optimize a five-year capital improvement plan. The results from the application of the holistic model to an existing ROW network indicate that it is successful in achieving savings through synchronization and in providing superior maintenance, rehabilitation, and renewal plans when compared to the traditional paradigm where independent plans are created for road, sewer, and water utilities. 2013 Journal Article http://hdl.handle.net/20.500.11937/43277 10.1139/cjce-2012-0183 Canadian Society of Civil Engineering restricted
spellingShingle genetic algorithms
maintenance
optimization
renewal
infrastructure
capital planning
rehabilitation
Carey, Brad
Lueke, Jason
Optimized holistic municipal right-of-way capital improvement planning
title Optimized holistic municipal right-of-way capital improvement planning
title_full Optimized holistic municipal right-of-way capital improvement planning
title_fullStr Optimized holistic municipal right-of-way capital improvement planning
title_full_unstemmed Optimized holistic municipal right-of-way capital improvement planning
title_short Optimized holistic municipal right-of-way capital improvement planning
title_sort optimized holistic municipal right-of-way capital improvement planning
topic genetic algorithms
maintenance
optimization
renewal
infrastructure
capital planning
rehabilitation
url http://hdl.handle.net/20.500.11937/43277