jtl Journal of Transportation and Logistics 2459-1718 Istanbul University 10.26650/JTL.2025.1516842 Manufacturing and Industrial Engineering (Other) Üretim ve Endüstri Mühendisliği (Diğer) Investigation of Urban Freight Logistics Performance in Smart Cities Using the Fuzzy AHP Method https://orcid.org/0000-0001-6069-5981 Erdoğan Fahri Alp ISTANBUL UNIVERSITY, INSTITUTE OF SOCIAL SCIENCES, BUSINESS ADMINISTRATION (DR) https://orcid.org/0000-0002-9451-1842 Demir Bülent ISTANBUL KENT UNIVERSITY, FACULTY OF HUMAN AND SOCIAL SCIENCES, DEPARTMENT OF BUSINESS ADMINISTRATION https://orcid.org/0000-0001-5179-7425 Sağbaş Murat NATIONAL DEFENSE UNIVERSITY, ATATURK STRATEGIC RESEARCH INSTITUTE, DEPARTMENT OF DEFENCE MANAGEMENT https://orcid.org/0000-0002-8037-7603 Uğural Mehmet N. ISTANBUL KULTUR UNIVERSITY, FACULTY OF ENGINEERING, DEPARTMENT OF CIVIL ENGINEERING 11 11 2025 10 2 430 453 07 16 2024 03 13 2025 Copyright © 2015, Journal of Transportation and Logistics 2015 Journal of Transportation and Logistics

Urban freight logistics in smart cities is an interdisciplinary approach to logistics that seeks to maximize efficiency and sustainability in the movement of goods and services within these urban areas. As cities become more intelligent, urban freight logistics must adapt to handle problems including traffic, the environment, and last-mile delivery efficiency. The aim of this study is to identify the criteria that are important for urban freight logistics in smart cities. This study is unique because, to our knowledge, no quantitative research has been done on the subject, despite its significance. As a research method, the Fuzzy Analytical Hierarchy Process (Fuzzy AHP) methodology was used to determine the elements that are essential to the efficiency of urban freight logistics in smart cities. Transport engineering is the most crucial field for the performance of urban freight logistics in smart cities. Sustainability has been identified as the most crucial factor in evaluating the success of urban freight logistics in smart cities. By determining which factors are crucial, the results of this study will help develop more efficient methods for improving the performance of urban transport logistics in smart cities.

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