Integrated Decision-Support Framework for Municipal Infrastructure Asset

Integration planning of Infrastructure systems reveals a changeling decisions facing Canadian municipalities for planning repair/renewal of road network, water distribution network, wastewater distribution network. Decision-making for these networks requires the incorporation of a massive amount of data collection, building business processes, identifying decision variables and optimization. The objective of this research is to establish a methodology to facilitate decision making process that ensures reliable and optimum decision regarding corridor rehabilitation for road, water and wastewater network. This proposed framework employs the following tasks: (1) analyze risk; (2) conduct performance evaluation; (3) assess the current physical condition of the pipe and road segment; (4) collecting data and performing data gap analysis; (5) document a conceptual business process diagrams; (6) develop decision analysis trees; and (7) implementing optimization of repair/renewal cost and defining the best replacement interval via genetic algorism (GA). In order to demonstrate the model features, a case study has been utilized from the City of Guelph, ON, Canada. The model is developed via genetic algorism (GA) using GIS platform. The results assist in setting priorities for integrated corridor rehabilitation and anticipated to generate a capital planning program for the city's infrastructure. In conclusion, this framework helps Canadian municipalities evaluate and select feasible optimal assets for integrated corridor rehabilitation.