Freight transportation has skyrocketed in recent decades due to the globalization-driven increase in demand for transportation. This growth surge would necessitate last-mile delivery, particularly in urban logistics. The increase in urban freight movement contributes to congestion and greenhouse gas emissions. Keeping sudden growth of transportation and its associated negative externalities, different nations have set goals to reduce carbon emissions. This requires the prioritization of determinants of sustainable freight transportation that would contribute to zero carbon emissions. This paper aims to provide insight into sustainable freight transport planning from the perspective of stakeholders. To address this, we have investigated literature-proposed determinants that are significant in achieving net zero carbon emission. In addition, the extracted determinants are discussed with an expert-led focus group. Furthermore, we utilized the Bayesian Best Worst method to establish the importance-based priority. On the basis of the analysis, the significant determinants for sustainable freight transportation have been prioritized. The findings would provide a systematic approach to achieving the nation's goal of carbon neutrality in the coming decades.


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    Title :

    Determinants of Sustainable Freight Transportation: Application of Bayesian Best Worst Method


    Additional title:

    Lecture Notes in Civil Engineering



    Conference:

    Conference of Transportation Research Group of India ; 2023 ; Surat, India December 16, 2023 - December 19, 2023



    Publication date :

    2025-02-27


    Size :

    14 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English