Evaluation of integrated sustainable last-mile delivery methods in an intuitionistic fuzzy environment

dc.authoridYILMAZ, SABAN FATIH/0000-0002-4095-7187
dc.contributor.authorBilgili, F.
dc.contributor.authorYilmaz, S. F.
dc.contributor.authorZarali, F.
dc.contributor.authorDemirel, N.
dc.date.accessioned2025-03-17T12:27:37Z
dc.date.available2025-03-17T12:27:37Z
dc.date.issued2024
dc.departmentTarsus Üniversitesi
dc.description.abstractThe ever-increasing population in urban centers, technological developments, and changing purchasing habits increase the demand for last-mile (LM) delivery services. This growing demand causes a rise in commercial mobility in city centers and leads to a series of problems in terms of the sustainability of cities. Some of these troubles are traffic congestion and parking problems, accident risks, emissions, and air and noise pollution. To combat such issues conventional home delivery is being replaced by sustainable LM delivery methods such as delivery via parcel locker, drone, cargo bike, and micro-hubs. Moreover, the integrated use of these sustainable LM delivery methods has become widespread in literature and practice due to the opportunities they offer to increase efficiency, reduce costs, and mitigate environmental degradation. In this study, the integrated sustainable LM delivery methods have been ranked using an intuitionistic fuzzy TOPSIS approach. While evaluating integrated sustainable LM methods, in addition to economic, environmental, and social ones, technical criteria have also been considered and a wide set of criteria have been used. According to the findings, the mobile depot and e-bike integrated delivery method has been determined to be the most sustainable LM delivery method.
dc.identifier.doi10.1007/s10668-024-05461-0
dc.identifier.issn1387-585X
dc.identifier.issn1573-2975
dc.identifier.scopus2-s2.0-85205731039
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1007/s10668-024-05461-0
dc.identifier.urihttps://hdl.handle.net/20.500.13099/2353
dc.identifier.wosWOS:001326398200001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofEnvironment Development and Sustainability
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250316
dc.subjectLast-mile delivery
dc.subjectMulti-criteria decision-making
dc.subjectIntuitionistic fuzzy environment
dc.subjectIntegrated
dc.titleEvaluation of integrated sustainable last-mile delivery methods in an intuitionistic fuzzy environment
dc.typeArticle

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