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Uncertainty-based tradeoff analysis methodology for integrated transportation investment decision-making.

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  • Abstract:
    Transportation agencies strive to maintain their systems in good condition and also to provide

    acceptable levels of service to users. However, funding is often inadequate to meet the needs

    of system preservation and expansion, and thus performance- and budget-constrained

    optimization continues to be an issue. Adding complexity to this issue is the increasing visibility

    of different stakeholders who advocate for consideration of a multiplicity of diverse

    perspectives in the highway decision-making process. Thus agencies are grappling with the issue

    of how best to incorporate multiple performance objectives in their decision-making processes.

    Some of these objectives conflict with each other, and therefore a need arises for decisionmakers

    to find optimal solutions that examine the tradeoffs and provide a reasonable balance

    between the different objectives. Furthermore, there is the issue of uncertainty: outcomes of

    projects are never exactly what the decision-makers envisage; if such inevitable uncertainties

    are not duly accounted for, the final decision that may seem optimal may actually be associated

    with high risk. Finally, at most agencies, the management of highway assets is divided into

    several sub-areas such as pavements and safety assets. In this management structure, optimal

    management decisions are carried out separately for specific types of highway assets or

    management systems but do not always guarantee a global optimal strategy for all the

    management systems combined. Thus, a decision-making framework that integrates all asset

    types is needed to enhance decision-making and to ensure more efficient use of scarce funds.

    Clearly, a need exists for a multi-objective decision-making problem that integrates the various

    management systems, duly incorporates uncertainty, and helps decision-makers assess the

    tradeoffs between the performance measures. This study addresses that need.

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    urn:sha256:60359a2961f50f6b6c7b1c1f69203c354051aa47dcaea9e79110fd0bab43f07b
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File Language:
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