Sustainability performance assessment of freight transportation modes using an integrated decision‑making framework based on m‑generalized q‑neutrosophic sets

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dc.contributor.authorGörçün, Ömer Faruk
dc.contributor.authorTirkolaee, Erfan Babaee
dc.contributor.authorAytekin, Ahmet
dc.contributor.authorKorucuk, Selçuk
dc.date.accessioned2024-11-25T05:28:30Z
dc.date.available2024-11-25T05:28:30Z
dc.date.issued2024
dc.departmentAÇÜ, Hopa İktisadi ve İdari Bilimler Fakültesi, İşletme Bölümüen_US
dc.description.abstractThe freight transport industry is one of the primary sectors responsible for excessive energy consumption and greenhouse gas emissions. Restructuring international and domestic freight transport chains based on sustainability and green transportation is critical for practitioners and policymakers to reduce pressure on the logistics and transportation industries. This study aims to develop a mathematical model for selecting the most appropriate transportation type, and accordingly, the optimal route in transportation operations to improve the sustainability performance of the freight transportation industry. Therefore, the main goal is to choose the most suitable route and transportation type which contributes to create a more eco-friendly and sustainable transportation system. For this purpose, Neutrosophic Number-based Delphi (NN-Delphi), m-Generalized q-Neutrosophic Sets (mGqNSs)-based Stepwise Weight Assessment Ratio Analysis (MGqNS-SWARA) and mGqNSs-based Additive Ratio Assessment (mGqNS-ARAS) are developed and implemented to set the influential criteria, compute the weights of these criteria, and identify the sustainability performance of the freight mode variants, respectively. According to the final results, "Cargo security" and "Accident rates" are the most important criteria with a relative importance score of 0.0237, contributing to the sustainability of load transport modes. Moreover, "Maritime Transport Mode" is identified as the most sustainable transportation type with a relative importance score of 0.7895. Finally, it is revealed that there is a positive relationship between maritime transport and sustainability.
dc.identifier.doi10.1007/s10462-024-10751-0
dc.identifier.endpage38en_US
dc.identifier.issn0269-2821
dc.identifier.issue5en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage1en_US
dc.identifier.urihttp://dx.doi.org/10.1007/s10462-024-10751-0
dc.identifier.urihttps://hdl.handle.net/11494/4996
dc.identifier.volume57en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.relation.ispartofArtificial Intelligence Review
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDecision-Making Frameworken_US
dc.subjectFreight Transportationen_US
dc.subjectMGqNS-ARAS Methoden_US
dc.subjectMGqNS-SWARA Methoden_US
dc.subjectNN-Delphien_US
dc.subjectSustainability Performanceen_US
dc.titleSustainability performance assessment of freight transportation modes using an integrated decision‑making framework based on m‑generalized q‑neutrosophic setsen_US
dc.typeArticle

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