Abstract
A new integrated approach for optimal renewal planning of municipal infrastructure systems has been developed. This chapter discusses the application of the proposed approach to implement a GIS-based Decision Support System (DSS) to support the renewal planning of sewer networks. The approach involves several steps addressing condition rating, risk assessment, and prioritization of sewers. It also incorporates a procedure for identifying and selecting the most suitable renewal technologies. A genetic algorithm (GA)-based multi-objective optimization (MOO) technique is used to find a Pareto front and identify a set of feasible solutions, in which a set of sewers is selected for renewal each year, along with the associated costs and expected benefits in terms of condition improvement and risk reduction. The chapter also presents an example application of the prototype DSS on the sewer network in Regina, Canada.
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