Evaluating Sustainable Vehicle Technologies for Freight Transportation Using Spherical Fuzzy AHP and TOPSIS

dc.authorscopusid36158256500
dc.authorscopusid56008026000
dc.contributor.authorJaller, M.
dc.contributor.authorOtay, I.
dc.date.accessioned2024-07-18T20:16:37Z
dc.date.available2024-07-18T20:16:37Z
dc.date.issued2021
dc.descriptionInternational Conference on Intelligent and Fuzzy Systems, INFUS 2020 -- 21 July 2020 through 23 July 2020 -- -- 242349en_US
dc.description.abstractFreight transportation is vital for the economy and everyday life. It brings the goods and services needed for industrial and manufacturing processes, as well as those to be consumed by the population. However, the vehicles (mostly diesel trucks) used are responsible for a disproportionate amount of environmental externalities. Therefore, it is imperative to manage transport demand, and foster the use of cleaner vehicles, fuels and technologies. The most common alternatives include compressed (renewable) natural gas (CNG/RNG), hybrid electric (HE), battery electric (BE) and fuel-cell hydrogen (H2) vehicles. However, the technical and operational characteristics, market readiness, and other factors related to these technologies can be very different. Therefore, the most appropriate option for different uses (e.g., last mile, long-haul distribution) and users’ preferences is not necessarily clear. Consequently, this paper proposes Analytic Hierarchy Process (AHP) and The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) based on Spherical fuzzy sets to evaluate the sustainable vehicle technology alternatives over multiple criteria for freight transportation. Spherical fuzzy sets have been receiving increasing attention because of their ability to better consider uncertainty by defining membership functions on a Spherical surface and covering a larger domain. Specifically, the authors evaluate the alternatives using five criteria: Financial; Business & market-related; Environmental & legal; Maintenance & repair availability; and Safety & vehicle performance factors, and 21 sub-criteria. Moreover, the authors also performed sensitivity analysis. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.description.sponsorshipU.S. Department of Transportation, DOTen_US
dc.description.sponsorshipThe authors would like to thank the U.S. Department of Transportation, and the National Center for Sustainable Transportation and the Institute of Transportation Studies at the University of California Davis for the funding support for this research. The authors also appreciate the experts surveyed in this research.en_US
dc.identifier.doi10.1007/978-3-030-51156-2_15
dc.identifier.endpage126en_US
dc.identifier.isbn9783030511555
dc.identifier.issn2194-5357
dc.identifier.scopus2-s2.0-85088750438en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage118en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-51156-2_15
dc.identifier.urihttps://hdl.handle.net/11411/6194
dc.identifier.volume1197 AISCen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofAdvances in Intelligent Systems and Computingen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFreight Transportationen_US
dc.subjectMulti-Criteria Decision Makingen_US
dc.subjectSpherical Fuzzy Ahpen_US
dc.subjectSpherical Fuzzy Setsen_US
dc.subjectSpherical Fuzzy Topsısen_US
dc.subjectVehicle And Fuel Pathwaysen_US
dc.subjectAnalytic Hierarchy Processen_US
dc.subjectCommerceen_US
dc.subjectCompressed Natural Gasen_US
dc.subjectEnvironmental Regulationsen_US
dc.subjectFuel Cellsen_US
dc.subjectFuzzy Setsen_US
dc.subjectHierarchical Systemsen_US
dc.subjectMembership Functionsen_US
dc.subjectNatural Gas Vehiclesen_US
dc.subjectSensitivity Analysisen_US
dc.subjectSpheresen_US
dc.subjectSustainable Developmenten_US
dc.subjectVehicle Performanceen_US
dc.subjectAnalytic Hierarchy Process (Ahp)en_US
dc.subjectIdeal Solutionsen_US
dc.subjectManufacturing Processen_US
dc.subjectMultiple Criteriaen_US
dc.subjectOperational Characteristicsen_US
dc.subjectSpherical Surfaceen_US
dc.subjectTransport Demanden_US
dc.subjectVehicle Technologyen_US
dc.subjectFreight Transportationen_US
dc.titleEvaluating Sustainable Vehicle Technologies for Freight Transportation Using Spherical Fuzzy AHP and TOPSISen_US
dc.typeConference Objecten_US

Dosyalar