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Distributed travel time savings of a multiscale transportation access management program

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  • Junrui Xu

    (University of Virginia)

  • James H. Lambert

    (University of Virginia)

Abstract

Access management in transportation planning can save travel time, reduce crashes, and increase route capacities. The planning literature suggests a need for performance metrics and a decision-aiding framework to guide access management programs across large corridor networks and diverse time horizons. This paper describes a quantitative framework to support access management programs, applying multicriteria analysis and cost-benefit analysis with parameter uncertainties. The metrics used to assess relative priorities at existing access points include the following: travel time delay index, traffic exposure, value of time, and costs of typical access management activities. Uncertain parameters that influence the estimates of the potential benefits and costs are identified and treated via a numerical interval analysis. The framework is demonstrated at several geographic scales and locations including 7,000 km of highway arterials of a 110,000 square-kilometer region and several sub-regions. The results assist decision makers to identify route segments that should be addressed sooner by eliciting additional information, reserving right-of-way, closing access points, planning new alignments, facilitating development proffers, etc. The approach is transferable to other topics involving resource allocation for preservation and improvement of multiscale infrastructure systems.

Suggested Citation

  • Junrui Xu & James H. Lambert, 2013. "Distributed travel time savings of a multiscale transportation access management program," Environment Systems and Decisions, Springer, vol. 33(3), pages 362-375, September.
    • Handle: RePEc:spr:envsyd:v:33:y:2013:i:3:d:10.1007_s10669-013-9459-0
    DOI: 10.1007/s10669-013-9459-0
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    References listed on IDEAS

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    1. James H. Lambert & Thomas Turley, 2005. "Priority Setting for the Distribution of Localized Hazard Protection," Risk Analysis, John Wiley & Sons, vol. 25(3), pages 745-752, June.
    2. Scott Farrow, 2004. "Using Risk Assessment, Benefit‐Cost Analysis, and Real Options to Implement a Precautionary Principle," Risk Analysis, John Wiley & Sons, vol. 24(3), pages 727-735, June.
    3. James H. Lambert & Mark W. Farrington, 2006. "Risk‐Based Objectives for the Allocation of Chemical, Biological, and Radiological Air Emissions Sensors," Risk Analysis, John Wiley & Sons, vol. 26(6), pages 1659-1674, December.
    4. John Merrifield, 1997. "Sensitivity Analysis In Benefit Cost Analysis: A Key To Increased Use And Acceptance," Contemporary Economic Policy, Western Economic Association International, vol. 15(3), pages 82-92, July.
    5. Ellen C. Rogerson & James H. Lambert & Alexander F. Johns, 2013. "Runway safety program evaluation with uncertainties of benefits and costs," Journal of Risk Research, Taylor & Francis Journals, vol. 16(5), pages 523-539, May.
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    Cited by:

    1. Junrui Xu & James H. Lambert, 2015. "Risk‐Cost‐Benefit Analysis for Transportation Corridors with Interval Uncertainties of Heterogeneous Data," Risk Analysis, John Wiley & Sons, vol. 35(4), pages 624-641, April.
    2. Thorisson, Heimir & Lambert, James H., 2017. "Multiscale identification of emergent and future conditions along corridors of transportation networks," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 255-263.
    3. Peter A. Beling, 2013. "Multi-scale decision making: challenges in engineering and environmental systems," Environment Systems and Decisions, Springer, vol. 33(3), pages 323-325, September.
    4. Alsultan, Marwan & Jun, Jungwook & Lambert, James H., 2020. "Program evaluation of highway access with innovative risk-cost-benefit analysis," Reliability Engineering and System Safety, Elsevier, vol. 193(C).

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