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Multidimensional resource allocation for freight transportation project planning and decision making

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  • Bhattarai, Santosh
  • Golias, Mihalis M.
  • Mishra, Sabyasachee
  • Talebian, Ahmadreza

Abstract

This paper develops and compares four multidimensional resource allocation models aimed to prioritize freight improvement projects for regional, state, and local transportation agencies such that return on investment is maximized. The proposed models are based on economic competitiveness with and without mutual exclusiveness in location, and equity in opportunity and outcome. Multiple dimensions of the models include the transportation mode, performance measures, improvement type, geographic regions, policy criteria, and time. Results from a case study in the State of Tennessee show that project selection based on equity in outcome provides the optimal balance between benefits and their distribution among counties, while project selection based on equity in opportunity results in the lowest total return on investment.

Suggested Citation

  • Bhattarai, Santosh & Golias, Mihalis M. & Mishra, Sabyasachee & Talebian, Ahmadreza, 2020. "Multidimensional resource allocation for freight transportation project planning and decision making," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 95-110.
    • Handle: RePEc:eee:transa:v:137:y:2020:i:c:p:95-110
    DOI: 10.1016/j.tra.2020.04.017
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    References listed on IDEAS

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    Cited by:

    1. Lu, Changxiang & Ye, Yong & Fang, Yongjun & Fang, Jiaqi, 2023. "An optimal control theory approach for freight structure path evolution post-COVID-19 pandemic," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    2. Talebian, Ahmadreza & Mishra, Sabyasachee, 2022. "Unfolding the state of the adoption of connected autonomous trucks by the commercial fleet owner industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).

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