Departments of transportation and municipalities are expected to implement infrastructure management systems powered by analytical tools. The tools perform long-term strategic analysis capable of identifying alternatives that achieve the most cost-effective solution and that provide sustainability to networks of infrastructure assets. However, results from such analyses reflect uncoordinated programs of works represented by actions scattered across time and space. The implementation of strategic analysis results as they emerge from life-cycle optimization bring about many small contracts, which translate into constant disruption of services for users and higher costs to the government. In addition, uncoordinated actions may result in utility cuts or premature damage to recently rehabilitated assets. This paper adapts classical time–space adjacency modeling to translate results from strategic analysis into coordinated tactical and operational plans addressing the aforementioned drawbacks. A case study of Kindersley, Saskatchewan, Canada, is used to illustrate the proposed approach for coordinating the program of works of pavements, sanitary and storm sewers, and water mains for one of the scenarios of the original strategic analysis. The approach can incorporate time and space considerations among neighboring assets for selected compatible actions (investments) guided by a heuristic simulation that follows the guiding objectives of the original optimization. The results from coordinated actions are compared with results from classical life-cycle optimization to determine the degree of optimality.


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    Title :

    Adjacency Modeling for Coordination of Investments in Infrastructure Asset Management


    Subtitle :

    Case Study of Kindersley, Saskatchewan, Canada


    Additional title:

    Transportation Research Record


    Contributors:


    Publication date :

    2011-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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