Evaluation of integrated sustainable last-mile delivery methods in an intuitionistic fuzzy environment
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Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Last-mile delivery, Multi-criteria decision-making, Intuitionistic fuzzy environment, Integrated
Kaynak
Environment Development and Sustainability
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
