Resource allocation across multiple assets in transportation systems has gained significant attention over the past few years. In this context, a framework was proposed to help decision makers estimate the optimal resource allocation across multiple assets considering functional, structural, and environmental performance indicators. Carbon dioxide equivalent emissions were considered in the calculations, along with condition measures to evaluate the optimal budget allotment scenario that will lead to structural and functional integrity and environmental sustainability. The application of the framework was demonstrated in a case study with pavement and bridge assets. Results showed that the framework could be used as a supporting tool for decision makers and transportation agencies to estimate the optimal budget to invest on each asset. Also, the impact of different parameters on resource allocation policy was evaluated with a sensitivity analysis. Findings showed that the initial condition of assets and the priority (weights) assigned to each indicator (functional, structural, and environmental) could change the optimal resource allocation scenarios. The relative size of the assets was also found to have had a notable impact on the optimal budget share. Finally, the need for agencies to consider their own data inputs is discussed and recommendations for future research are given.


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    Title :

    Cross-Asset Resource Allocation Framework for Achieving Performance Sustainability


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board




    Publication date :

    2013-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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