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Towards green logistics: An innovative decision support model for zero-emission transportation modes development

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  • Moktadir, Md. Abdul
  • Ren, Jingzheng

Abstract

The transition towards sustainable and eco-friendly transportation modes is a critical step in alleviating the adverse impacts of climate change and reducing carbon emissions. In this aspect, the zero-emission transportation modes development (ZETMD) has received growing interest from policymakers and researchers across the globe. However, developing zero-emission transportation modes is a complex task, as numerous challenges exist in real-life scenarios that must be addressed. Additionally, the identification and modeling of challenges related to ZETMD considering large-scale uncertainty are absent in the literature. Therefore, this study uniquely contributes to the existing literature by identifying and analyzing the critical challenges of ZETMD by offering an integrated and novel decision support method that combines Interval Type-2 Trapezoidal Fuzzy Set (IT2TrFS) Pareto and a generalized IT2TrFS weighted averaging (GIT2TrFSWA) operator-based IT2TrFS-Best-Worst Method (BWM) with lower defuzzification (LD). This integrated model is robust and capable of handling a broader scale of uncertainty during the subjective judgment of challenges. The IT2TrFS-Pareto analysis helps identify the most critical challenges, while GIT2TrFSWA operator-based IT2TrFS-BWM with LD aids in determining the importance of these challenges. The IT2TrFS-Pareto analysis identifies nine challenges as critical challenges from an initially selected sixteen challenges. The findings of the IT2TrFS-BWM-LD analysis suggest that the “High cost of clean technologies development for transport” is the most critical challenge for ZETMD carrying a normalized IT2TrFS defuzzified weight of 0.26067. Further, comprehensive sensitivity, comparative, and statistical correlation analyses confirm the robustness and reliability of the proposed model. The study findings can serve as a benchmark for policymakers and decision-makers to overcome these challenges by formulating and implementing appropriate strategic policies in real-life scenarios that can further mitigate carbon emissions.

Suggested Citation

  • Moktadir, Md. Abdul & Ren, Jingzheng, 2024. "Towards green logistics: An innovative decision support model for zero-emission transportation modes development," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
    • Handle: RePEc:eee:transe:v:189:y:2024:i:c:s1366554524002394
    DOI: 10.1016/j.tre.2024.103648
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    References listed on IDEAS

    as
    1. Divya Choudhary & Ajay Kumar & Baofeng Huo, 2023. "Examination of sustainability risk in freight shipping based on the theory of planned behavior with temporal analysis," Post-Print hal-04325731, HAL.
    2. Chen, Qingjuan & Wang, Qunwei & Zhou, Dequn & Wang, Honggang, 2023. "Drivers and evolution of low-carbon development in China's transportation industry: An integrated analytical approach," Energy, Elsevier, vol. 262(PB).
    3. Echeverría, Lucía & Giménez-Nadal, J. Ignacio & Alberto Molina, José, 2022. "Who uses green mobility? Exploring profiles in developed countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 247-265.
    4. Gan, Yu & Wang, Michael & Lu, Zifeng & Kelly, Jarod, 2021. "Taking into account greenhouse gas emissions of electric vehicles for transportation de-carbonization," Energy Policy, Elsevier, vol. 155(C).
    5. Shantanu Saraswat & Ahmad Abdullah & Faisal Talib, 2023. "Analysis of barriers to electric vehicles adoption: an integrated Pareto cum FUCOM approach," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 22(4), pages 434-471.
    6. Mei, Mei & Chen, Zhihua, 2021. "Evaluation and selection of sustainable hydrogen production technology with hybrid uncertain sustainability indicators based on rough-fuzzy BWM-DEA," Renewable Energy, Elsevier, vol. 165(P1), pages 716-730.
    7. Harris, Irina & Mumford, Christine L. & Naim, Mohamed M., 2014. "A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 1-22.
    8. Choudhary, Divya & Kumar, Ajay & Huo, Baofeng, 2023. "Examination of sustainability risk in freight shipping based on the theory of planned behavior with temporal analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 176(C).
    9. Leinert, Stephan & Daly, Hannah & Hyde, Bernard & Gallachóir, Brian Ó, 2013. "Co-benefits? Not always: Quantifying the negative effect of a CO2-reducing car taxation policy on NOx emissions," Energy Policy, Elsevier, vol. 63(C), pages 1151-1159.
    10. Ju, Chunhua & Liu, Huajin & Xu, Aidi & Zhang, Jie, 2023. "Green logistics of fossil fuels and E-commerce: Implications for sustainable economic development," Resources Policy, Elsevier, vol. 85(PB).
    11. Kitthamkesorn, Songyot & Chen, Anthony, 2017. "Alternate weibit-based model for assessing green transport systems with combined mode and route travel choices," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 291-310.
    12. Celik, Erkan & Bilisik, Ozge Nalan & Erdogan, Melike & Gumus, Alev Taskin & Baracli, Hayri, 2013. "An integrated novel interval type-2 fuzzy MCDM method to improve customer satisfaction in public transportation for Istanbul," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 28-51.
    13. Kuo, Ming-Shin, 2011. "A novel interval-valued fuzzy MCDM method for improving airlines’ service quality in Chinese cross-strait airlines," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1177-1193.
    14. Li Liu & Ahsan Anwar & Esma Irmak & Irem Pelit, 2022. "Asymmetric linkages between public-private partnership, environmental innovation, and transport emissions," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 6519-6540, December.
    15. Resende, Carlos Henrique Lopes & Lima-Junior, Francisco Rodrigues & Carpinetti, Luiz Cesar Ribeiro, 2023. "Decision-making models for formulating and evaluating supplier development programs: A state-of-the-art review and research paths," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    16. Wang, Tingsong & Cheng, Peiyue & Zhen, Lu, 2023. "Green development of the maritime industry: Overview, perspectives, and future research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    17. Kuo, Hsin-Tsz & Choi, Tsan-Ming, 2024. "Metaverse in transportation and logistics operations: An AI-supported digital technological framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    18. Liang, Fuqi & Brunelli, Matteo & Rezaei, Jafar, 2020. "Consistency issues in the best worst method: Measurements and thresholds," Omega, Elsevier, vol. 96(C).
    19. Deveci, Muhammet & Pamucar, Dragan & Gokasar, Ilgin & Delen, Dursun & Wu, Qun & Simic, Vladimir, 2022. "An analytics approach to decision alternative prioritization for zero-emission zone logistics," Journal of Business Research, Elsevier, vol. 146(C), pages 554-570.
    20. Jafar Rezaei, 2020. "A Concentration Ratio for Nonlinear Best Worst Method," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 891-907, May.
    21. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    22. Yang, Binxin & Wu, Guangdong, 2023. "Multi-criteria analysis of cross-regional railways interconnection under the post COVID-19 pandemic crisis: A hybrid BWM-FAISM-DFS evaluation framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    23. Faruk Görçün, Ömer. & Chatterjee, Prasenjit. & Stević, Željko. & Küçükönder, Hande., 2024. "An integrated model for road freight transport firm selection in third-party logistics using T-spherical Fuzzy sets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    24. Mohammadi, Majid & Rezaei, Jafar, 2020. "Bayesian best-worst method: A probabilistic group decision making model," Omega, Elsevier, vol. 96(C).
    25. Awan, Ashar & Alnour, Mohammed & Jahanger, Atif & Onwe, Joshua Chukwuma, 2022. "Do technological innovation and urbanization mitigate carbon dioxide emissions from the transport sector?," Technology in Society, Elsevier, vol. 71(C).
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