An analytics approach to decision alternative prioritization for zero-emission zone logistics

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dc.authoridDursun Delen / 0000-0001-8857-5148en_US
dc.authorscopusidDursun Delen / 55887961100en_US
dc.authorwosidDursun Delen / AGA-9892-2022
dc.contributor.authorDeveci, Muhammet
dc.contributor.authorPamucar, Dragan
dc.contributor.authorGökaşar, Ilgın
dc.contributor.authorDelen, Dursun
dc.contributor.authorWu, Qun
dc.contributor.authorSimic, Vladimir
dc.date.accessioned2022-04-25T08:30:53Z
dc.date.available2022-04-25T08:30:53Z
dc.date.issued2022en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractUrban freight transportation requires wise management considerations since it is one of the most challenging issues cities face to attain sustainability. To help with the challenging decision process, an integrated two-stage decision analysis approach is proposed. In the first stage, the Defining Interrelationships Between Ranked criteria (DIBR) method is used to consolidate the experts’ opinions to compute the weights of the predetermined decision criteria. In the second stage, a novel approach that integrates Combined Compromise Solution (CoCoSo) with the context of type-2 neutrosophic numbers is used to identify the most optimal management decision alternative. A case study is developed to show the viability and practicability of the proposed methodology. The results indicated that “building a logistics center (for fast and cheap delivery)” is the highest-ranked decision alternative, followed by “optimized and integrated operation of urban logistics,” and “zero-emission zone implementation,” respectively. The proposed methodology can be used as a decision analysis framework for urban city authorities while selecting the most optimal policies and related solution alternatives towards achieving and sustaining low-emission urban freight transportation. © 2022 Elsevier Inc.en_US
dc.identifier.citationDeveci, M., Pamucar, D., Gokasar, I., Delen, D., Wu, Q., & Simic, V. (2022). An analytics approach to decision alternative prioritization for zero-emission zone logistics. Journal of Business Research, 146, 554-570. doi:10.1016/j.jbusres.2022.03.059en_US
dc.identifier.doi10.1016/j.jbusres.2022.03.059en_US
dc.identifier.endpage570en_US
dc.identifier.issn0148-2963en_US
dc.identifier.issue146en_US
dc.identifier.scopus2-s2.0-85127663452en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage554en_US
dc.identifier.urihttps://10.1016/j.jbusres.2022.03.059
dc.identifier.urihttps://hdl.handle.net/20.500.12713/2657
dc.identifier.wosWOS:000799273800021en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorDelen, Dursun
dc.language.isoenen_US
dc.publisherElsevier Inc.en_US
dc.relation.ispartofJournal of Business Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCoCoSo Approachen_US
dc.subjectFuzzy Setsen_US
dc.subjectManagement Decisionen_US
dc.subjectMCDMen_US
dc.subjectUrban Logisticsen_US
dc.subjectZero-Emission Zoneen_US
dc.titleAn analytics approach to decision alternative prioritization for zero-emission zone logisticsen_US
dc.typeArticleen_US

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