Integrated modelling for sustainability assessment and decision making of alternative fuel buses

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Elagouz N., Onat N. C., Kucukvar M., AYVAZ B., Kutty A. A., Osman Kusakci A.

Transportation Research Part D: Transport and Environment, cilt.117, 2023 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 117
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1016/j.trd.2023.103656
  • Dergi Adı: Transportation Research Part D: Transport and Environment
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, EconLit, Environment Index, Geobase, INSPEC, Metadex, Pollution Abstracts, Public Affairs Index, Civil Engineering Abstracts
  • Anahtar Kelimeler: Alternative fuel buses, Decision making, Life cycle sustainability assessment, Neutrosophic fuzzy sets, Sustainable transportation, Transport policy
  • İstanbul Ticaret Üniversitesi Adresli: Evet

Özet

In this paper, a hybrid life cycle sustainability assessment (LCSA) model integrating multi region input–output analysis with novel multi-criteria decision-making techniques is proposed to assess three different fuel alternatives: compressed natural gas (CNG), electric buses (EBs), and diesel buses (DBs). A global hybrid LCSA model first quantified the environmental, economic, and social impacts of alternative fuel buses. The results were investigated in terms of multiple combinations of manufacturing and end-of-life scenarios by encompassing impacts embedded in the global supply chains taking Qatar as a case applied to the proposed model. The Interval-Valued Neutrosophic Fuzzy (IVNF)-Analytic Hierarchy Process with the Combined Compromise Solution (CoCoSo) approach is used to rank the alternative fuel buses based on their corresponding sustainability performance. The proposed model will help in quantitatively capturing the macro-level life cycle socioeconomic and environmental impacts along with optimally selecting alternatives to support sustainable urban transport policy towards a net-zero transportation system globally.