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<p>Recently, freight transportation systems have garnered attention as a key driver of sustainability. Accordingly, various measures and initiatives are being implemented, along with the development of diverse conceptual solutions. However, the feasibility of measures and initiatives is influenced by factors like resources, policymakers’ perspectives, interests, demand, trade-offs, and consensus. This study develops a new hybrid MCDM model that combines the Fuzzy Analytical Hierarchy Process (FAHP), Entropy, and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods to select the preferred urban freight transport measures, benefiting both decision-makers and participants. The results indicate that the measure “Ring roads for through traffic” is ranked as the most critical choice, with a final score of 0.785, followed by the measure “Multimodal/Intermodal freight transport center” (relative closeness (RC) = 0.771) and “Real-time information system” (RC = 0.750). However, there is a difference in the results between excluding and including the participation of logistics companies. The priority of measure selection varies significantly when the freight industry’s opinions are not considered. These findings emphasize the necessity of engaging decision-makers at all levels in a fully participatory process to address the urgent need for strong actions aimed at achieving a sustainable urban transport system.</p>

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Multi-criteria decision-making framework for evaluating urban freight transport measures toward sustainable transport system

  • 期刊论文

  • 发表日期：

    2026年1月5日

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  • Nguyen Thi Nhu,
  • Khuat Viet Hung,
  • Nguyen Thi Hong Mai,
  • Yasuhiro Shiomi,
  • Hiroaki Nishiuchi,
  • Doanh Nguyen-Ngoc,
  • An Minh Ngoc

摘要

Recently, freight transportation systems have garnered attention as a key driver of sustainability. Accordingly, various measures and initiatives are being implemented, along with the development of diverse conceptual solutions. However, the feasibility of measures and initiatives is influenced by factors like resources, policymakers’ perspectives, interests, demand, trade-offs, and consensus. This study develops a new hybrid MCDM model that combines the Fuzzy Analytical Hierarchy Process (FAHP), Entropy, and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods to select the preferred urban freight transport measures, benefiting both decision-makers and participants. The results indicate that the measure “Ring roads for through traffic” is ranked as the most critical choice, with a final score of 0.785, followed by the measure “Multimodal/Intermodal freight transport center” (relative closeness (RC) = 0.771) and “Real-time information system” (RC = 0.750). However, there is a difference in the results between excluding and including the participation of logistics companies. The priority of measure selection varies significantly when the freight industry’s opinions are not considered. These findings emphasize the necessity of engaging decision-makers at all levels in a fully participatory process to address the urgent need for strong actions aimed at achieving a sustainable urban transport system.