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A multi-criteria decision support methodology for implementing truck operation strategies

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  • Choong Yang
  • Amelia Regan

Abstract

This study proposes a multi-criteria decision support methodology to enable the prioritization of potential alternative transportation system operations strategies and then demonstrates the effectiveness of the methodology using a case study involving truck operations. The primary feature of this methodology is its ability to help policymakers consider economic, public, and private sector standpoints simultaneously. The economic criterion is cost to the public sector where four criteria related to truck impacts on the transportation system are incorporated. These are traffic congestion, safety hazards, air pollution, and pavement damage. In addition, reliability and productivity are regarded as metrics representing the private sector viewpoint since they can significantly affect profitability. The methodology combines qualitative and quantitative aspects of these standpoints. In order to demonstrate the applicability of this methodology, a corridor with some of the highest truck traffic in the US is selected as a case study and three forms of left lane restrictions for trucks are considered. For qualitative analysis, survey data were collected from two groups classified as public agency and transportation industry professionals who are experts in trucking. In addition, a micro traffic simulation model was used to produce various performance measurements that can describe quantitative impacts. As a result, the methodology provides a rational argument for prioritizing potential alternative truck strategies. Copyright Springer Science+Business Media, LLC. 2013

Suggested Citation

  • Choong Yang & Amelia Regan, 2013. "A multi-criteria decision support methodology for implementing truck operation strategies," Transportation, Springer, vol. 40(3), pages 713-728, May.
    • Handle: RePEc:kap:transp:v:40:y:2013:i:3:p:713-728
    DOI: 10.1007/s11116-012-9432-7
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    References listed on IDEAS

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    1. Parinya Tanadtang & Dongjoo Park & Shinya Hanaoka, 2005. "Incorporating Uncertain and Incomplete Subjective Judgments into the Evaluation Procedure of Transportation Demand Management Alternatives," Transportation, Springer, vol. 32(6), pages 603-626, November.
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    Cited by:

    1. Yang, Choong Heon & Regan, Amelia C. & Kim, In Su, 2014. "Estimating road management equipment inventory needs and associated purchase costs," Transport Policy, Elsevier, vol. 36(C), pages 242-247.
    2. Harpreet Kaur & Surya Prakash Singh, 2019. "Flexible dynamic sustainable procurement model," Annals of Operations Research, Springer, vol. 273(1), pages 651-691, February.
    3. Yang, Choong Heon & Regan, Amelia C., 2014. "Methodology for the prioritization of environmental sensor station installation (case study of South Korea)," Transport Policy, Elsevier, vol. 32(C), pages 53-59.
    4. Castro-Nuño, Mercedes & Arévalo-Quijada, M. Teresa, 2018. "Assessing urban road safety through multidimensional indexes: Application of multicriteria decision making analysis to rank the Spanish provinces," Transport Policy, Elsevier, vol. 68(C), pages 118-129.
    5. Bassan, Shy, 2015. "Review, Experimental Evaluation and Policy Considerations of a Directional Time of Day Truck Restriction on Highways," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 54(1).

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