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

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Title: Evaluation of integrated sustainable last-mile delivery methods in an intuitionistic fuzzy environment.
Authors: Bilgili, F.1 (AUTHOR) fbilgili@erciyes.edu.tr, Yılmaz, Ş. F.2 (AUTHOR) fatihyilmaz@tarsus.edu.tr, Zaralı, F.3 (AUTHOR) fzarali@kayseri.edu.tr, Demirel, N.3 (AUTHOR) ndemirel@kayseri.edu.tr
Source: Environment, Development & Sustainability. May2026, Vol. 28 Issue 5, p12769-12807. 39p.
Subject Terms: *Delivery of goods, *Sustainability, *Freight & freightage, *Multiple criteria decision making, *Drone aircraft delivery, *Lockers
Abstract: The 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. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 193284036
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Evaluation of integrated sustainable last-mile delivery methods in an intuitionistic fuzzy environment.
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  Data: <searchLink fieldCode="AR" term="%22Bilgili%2C+F%2E%22">Bilgili, F.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> fbilgili@erciyes.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Yılmaz%2C+Ş%2E+F%2E%22">Yılmaz, Ş. F.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> fatihyilmaz@tarsus.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Zaralı%2C+F%2E%22">Zaralı, F.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> fzarali@kayseri.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Demirel%2C+N%2E%22">Demirel, N.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> ndemirel@kayseri.edu.tr</i>
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  Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. May2026, Vol. 28 Issue 5, p12769-12807. 39p.
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  Data: *<searchLink fieldCode="DE" term="%22Delivery+of+goods%22">Delivery of goods</searchLink><br />*<searchLink fieldCode="DE" term="%22Sustainability%22">Sustainability</searchLink><br />*<searchLink fieldCode="DE" term="%22Freight+%26+freightage%22">Freight & freightage</searchLink><br />*<searchLink fieldCode="DE" term="%22Multiple+criteria+decision+making%22">Multiple criteria decision making</searchLink><br />*<searchLink fieldCode="DE" term="%22Drone+aircraft+delivery%22">Drone aircraft delivery</searchLink><br />*<searchLink fieldCode="DE" term="%22Lockers%22">Lockers</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: The 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. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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        Value: 10.1007/s10668-024-05461-0
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 39
        StartPage: 12769
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      – SubjectFull: Delivery of goods
        Type: general
      – SubjectFull: Sustainability
        Type: general
      – SubjectFull: Freight & freightage
        Type: general
      – SubjectFull: Multiple criteria decision making
        Type: general
      – SubjectFull: Drone aircraft delivery
        Type: general
      – SubjectFull: Lockers
        Type: general
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      – TitleFull: Evaluation of integrated sustainable last-mile delivery methods in an intuitionistic fuzzy environment.
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            NameFull: Yılmaz, Ş. F.
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 28
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              Value: 5
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            – TitleFull: Environment, Development & Sustainability
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