| description abstract | The massive number of infrastructure intervention activities occurring in cities leads to detrimental social, environmental, and economic impacts on the community. Thus, integrating the asset intervention activities is required to minimize the community disruption and maintain an acceptable level of service throughout the assets’ lifecycle. This paper presents an integrated multiobjective asset management system for the road and water infrastructure that enables asset managers to trade off intervention alternatives and compare the outcomes of both conventional and integrated asset management systems. The multiobjective framework considers (1) physical state, (2) lifecycle costs, (3) user costs, and (4) replacement value. It revolves through three core models: (1) a database model that contains detailed asset inventory for the road and water networks; (2) key performance indicator (KPI) computational models for assessing the impact of the intervention plan on the predefined set of KPIs; and (3) an optimization model that relies on a combination of metaheuristics, dynamic programming, and goal optimization to schedule the intervention activities throughout the planning horizon. The system is applied to road and water networks in Kelowna, British Columbia, and the results show 33 and 50% savings in lifecycle costs and user costs, respectively. Moreover, it shows the potential ability to scale the framework to include other infrastructure such as sewer, electricity, gas, and telecom, provided that the information can be shared among these entities. | |
