Akademik Veri Yönetim Sistemi
Journal of the Faculty of Engineering and Architecture of Gazi University, cilt.41, sa.1, ss.609-624, 2026 (SCI-Expanded, Scopus, TRDizin)
To mitigate traffic congestion, operational inefficiencies, and environmental externalities caused by conventional delivery vehicles in parcel distribution, sustainable and smart urban solutions, such as electric delivery vehicles, autonomous ground transporters, and cargo trams, have recently come to the fore. In this study, the Neutrosophic Fuzzy Simple Additive Weighting (NF-SAW) method is employed to evaluate sustainable last-mile delivery vehicles. The implementation of the method is carried out using Microsoft Excel. The analysis is conducted based on fourteen criteria spanning environmental, economic, social, and operational dimensions. The results indicate that the highest criterion weights are assigned to energy savings, development investments, and air pollution. Based on the performance ranking derived from these weights, the electric cargo vehicle demonstrates the highest overall performance, whereas conventional delivery vehicle exhibits the lowest performance. To evaluate the robustness of the obtained results and the methodological consistency, the proposed approach has been comparatively analyzed with the Neutrosophic Fuzzy WASPAS method, and sensitivity analyses are also performed. The findings reveal that electric solutions, in particular, are strongly aligned with sustainability goals in urban logistics and that policymakers should encourage such innovative applications.