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Journals / Journal of Transportation and Logistics / 2025 / Volume: 10 Issue: 2

Investigation of Urban Freight Logistics Performance in Smart Cities Using the Fuzzy AHP Method

Fahri Alp Erdoğan(ISTANBUL UNIVERSITY, INSTITUTE OF SOCIAL SCIENCES, BUSINESS ADMINISTRATION (DR))0000-0001-6069-5981
Bülent Demir(ISTANBUL KENT UNIVERSITY, FACULTY OF HUMAN AND SOCIAL SCIENCES, DEPARTMENT OF BUSINESS ADMINISTRATION)0000-0002-9451-1842
Murat Sağbaş(NATIONAL DEFENSE UNIVERSITY, ATATURK STRATEGIC RESEARCH INSTITUTE, DEPARTMENT OF DEFENCE MANAGEMENT)0000-0001-5179-7425
Mehmet N. Uğural(ISTANBUL KULTUR UNIVERSITY, FACULTY OF ENGINEERING, DEPARTMENT OF CIVIL ENGINEERING)0000-0002-8037-7603
Pages
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Publication Date
2025-11-11
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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.

📌 3 Key Takeaways

🎯
Objective & Hypothesis: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.
📊
Key Findings & Data:Transport engineering is the most crucial field for the performance of urban freight logistics in smart cities.
💡
Conclusion & Impact: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.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Smart Cities · Urban Freight Logistics · Project management

Abstract

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.

🔖

Cite This Article

Erdoğan, F. A., Demir, B., Sağbaş, M., Uğural, M. N. (2025). Investigation of Urban Freight Logistics Performance in Smart Cities Using the Fuzzy AHP Method. Journal of Transportation and Logistics, Volume: 10 Issue: 2. https://doi.org/10.26650/JTL.2025.1516842

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References (54)

  1. Ahamd, M. (2019). State of the Art Compendium of Macro and Micro Energies. ADv. Scı. Technol. Res. J. 13, 88-109. https://doi.org/10. 12913/22998624/103425 google scholar
  2. Angelidou, M. (2014). Smart city policies: A spatial approach. Cities, 41, 3-11. https://doi.org/10.1016/j.cities.2014.06.007 google scholar
  3. Arvidsson N, Givoni M and Woxenius J. (2016). Exploring last mile synergies in passenger and freight transport. Built Environ. 42(4), 523538. https://doi.org/10.2148/benv.42.4.523 google scholar
  4. BarYkin, S. E., StrimovskaYa, A. V., Sergeev, S. M., BorisoglebskaYa, L. N., DedYukhina, N., SklYarov, I.,. & SaYchenko, L. (2023). Smart CitY logistics on the basis of digital tools for ESG goals achievement. Sustainability, 15(6), 5507. https://doi.org/10.3390/su15065507 google scholar
  5. BuYukozkan, G., & Ilicak, O. (2022). Smart urban logistics: Literature review and future directions. Socio-Economic Planning Sciences, 81, Article 101197. https://doi.org/10.1016/j.seps.2021.101197 google scholar
  6. BuYukozkan, G., & Mukul, E. (2019). Evaluation of smart citY logistics solutions with fuzzY MCDM methods. Pamukkale University Journal of Engineering Sciences-Pamukkale Universitesi Muhendislik Bilimleri Dergisi, 25(9), 1033-1040. https://doi.org/10.5505/pajes. 2019.32956 google scholar
  7. Calzada, I., & Cobo, C. (2015). Unplugging: Deconstructing the smart citY. Journal of Urban Technology, 22(1), 23-43. https://doi.org/10. 1080/10630732.2014.971535 google scholar
  8. Camero, A., & Alba, E. (2019). Smart CitY and information technologY: A review. Cities, 93, 84-94. https://doi.org/10.1016/j.cities.2019. 04.014 google scholar
  9. Cerrone, C., & Sciomachen, A. (2022). VRP in urban areas to optimize costs while mitigating environmental impact. Soft Computing, 26(19), 10223-10237. https://doi.org/10.1007/s00500-022-07325-z google scholar
  10. Correia, D., Feio, J. E., Marques, J., & Teixeira, L. (2023). ParticipatorY methodologY guidelines to promote citizens participation in decision-making: Evidence based on a Portuguese case studY. Cities, 135, Article 104213. https://doi.org/10.1016/j.cities.2023.104213 google scholar
  11. Correia, D., Marques, J. L., & Teixeira, L. (2022). The State-of-the-Art of Smart Cities in the European Union. Smart Cities, 5(4), 1776-1810. https://doi.org/10.3390/smartcities5040089 google scholar
  12. Cossu, P. (2016). Clean last mile transport and logistics management for smart and efficient local governments in Europe. Transportation Research Procedia, 14, 1523-1532. https://doi.org/10.1016/j.trpro.2016.05.117 google scholar
  13. Digiesi, S., Fanti, M. P., Mummolo, G., Silvestri, B., & Ieee. (2017). Externalities Reduction Strategies in Last Mile Logistics: a Review. IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 248-253. https://doi.org/10.1109/SOLI. 2017.8121002 google scholar
  14. Dohn, K., Kramarz, M., & PrzYbYlska, E. (2022). Interaction with CitY Logistics Stakeholders as a Factor of the Development of Polish Cities on the WaY to Becoming Smart Cities. Energies, 15(11), Article 4103. https://doi.org/10.3390/en15114103 google scholar
  15. Dudek, T., & Kujawski, A. (2022). The concept of big data management with various transportation sYstems sources as a keY role in smart cities development. Energies, 15(24), 9506. https://doi.org/10.3390/en15249506 google scholar
  16. Feng, X., Chu, F., Chu, C., & Huang, Y. (2021). Crowdsource-enabled integrated production and transportation scheduling for smart citY logistics. International Journal of Production Research, 59(7), 2157-2176. https://doi.org/10.1080/00207543.2020.1808258 google scholar
  17. Gatta, V., Marcucci, E., & Le Pira, M. (2017). Smart urban freight planning process: integrating desk, living lab and modelling approaches in decision-making. European Transport Research Review, 9(3), Article 32. https://doi.org/10.1007/s12544-017-0245-9 google scholar
  18. Gayialis, S. P., Konstantakopoulos, G. D., Papadopoulos, G. A., Kechagias, E., & Ponis, S. T. (2018). Developing an Advanced Cloud-Based Vehicle Routing and Scheduling System for Urban Freight Transportation. İFİP Advances in İnformation and Communication Technology. IFIP WG 5.7 International Conference on Advances in Production Management Systems (APMS). 190-197. https://doi. org/10.1007/978-3-319-99707-0_24 google scholar
  19. Ghaderi, H., Tsai, P. W., Zhang, L. L., & Moayedikia, A. (2022). An integrated crowdshipping framework for green last mile delivery. google scholar
  20. Sustainable Cities and Society, 78, Article 103552. https://doi.org/10.1016/j.scs.2021.103552 google scholar
  21. Golinska-Dawson, P., & Sethanan, K. (2023). Sustainable urban freight for energy-efficient smart cities—systematic literature review. Energies, 16(6), 2617. https://doi.org/10.3390/en16062617 google scholar
  22. Guerlain, C., Renault, S., Ferrero, F., & Faye, S. (2019). Decision Support Systems for Smarter and Sustainable Logistics of Construction Sites. Sustainability, 11(10), Article 2762. https://doi.org/10.3390/su11102762 google scholar
  23. Guimaraes, V. D., Skroder, G. C., Ribeiro, G. M., & Gonzalez, P. H. (2021). Strategic planning of freight transportation to support smart cities design: The Brazilian soybean case. Revista Facultad De Ingenieria-Universidad De Antioquia, 98, 104-116. https://doi.org/ 10.17533/udea.redin.20200583 google scholar
  24. He, Z. Y., & Haasis, H. D. (2020). A Theoretical Research Framework of Future Sustainable Urban Freight Transport for Smart Cities. Sustainability, 12(5), Article 1975. https://doi.org/10.3390/su12051975 google scholar
  25. Holecek, P., & Talasovâ, J. (2016). A free software tool implementing the fuzzY AHP method. Proceedings of the 34th international conference on mathematical methods in economics. 266-271. google scholar
  26. Karakikes, İ., & Nathanail, E. (2016). Simulation Techniques for Evaluating Smart Logistics Solutions for Sustainable Urban Distribution. Procedia Engineering, 178, 569-578. https://doi.org/10.1016/j.proeng.2017.01.110 google scholar
  27. Kim, J., Moon, H., & Jung, H. (2020). Drone-Based Parcel DeliverY Using the Rooftops of CitY Buildings: Model and Solution. Applied Sciences-Basel, 10(12), Article 4362. https://doi.org/10.3390/app10124362 google scholar
  28. Korczak, J., & Kijewska, K. (2018). Smart Logistics in the development of Smart Cities. Transportation Research Procedia, 39, 201-211. https://doi.org/10.1016/j.trpro.2019.06.022 google scholar
  29. Kostadinovic, A., & Savatkic, Z. (2017). İmplementation Of Eco-Vehicles İn CitY Logistics. 3rd Logistics International Conference (LOGIC), 247-252. https://logic.sf.bg.ac.rs/wp-content/uploads/LOGİC_2017_İD_41.pdf google scholar
  30. Lindawati, Wang, C., Cui, W., & Hari, N. (2015). FeasibilitY AnalYsis on Collaborative Platform for DeliverY Fulfillment in Smart CitY. 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity), 147-152. https://doi.org/10.1016/10.1109/SmartCitY. 2015.62 google scholar
  31. Lu, M. (2014). Advanced Logistics For Sustainable Urban Areas. 2nd International Conference on Traffic and Transport Engineering (ICTTE), 868-874. http://ijtte.com/uploads/news_files/İCTTE_Belgrade_2014-Proceedings.pdf google scholar
  32. Marciani, M., & Cossu, P. (2014). How the URBeLOG project will enable a new governance model for citY logistics in İtalian metropolitan areas. Procedia-Social and Behavioral Sciences, 151, 230-243. https://doi.org/10.1016/j.sbspro.2014.10.022 google scholar
  33. Mejia, G., Guerrero, W., Sarmiento, A., Serrano, N., Sarmiento, M., & Sanchez, C. (2019). DeliverY of Perishable Export Products in Smart Cities: A Case StudY in Bogota (Colombia). Procedia Manufacturing, 39, 1946-1952. https://doi.org/10.1016/j.promfg.2020.01.237 google scholar
  34. Meijer, A., & Bolîvar, M. P. R. (2016). Governing the smart citY: a review of the literatüre on smart urban governance. International review of administrative sciences, 82(2), 392-408. https://doi.org/10.1177/0020852314564308 google scholar
  35. Melo, S., Macedo, J., & Baptista, P. (2017). Guiding cities to pursue a smart mobilitY paradigm: An example from vehicle routing guidance and its traffic and operational effects. Research in Transportation Economics, 65, 24-33. https://doi.org/10.1016/j.retrec.2017.09.007 google scholar
  36. Nathanail, E., Gogas, M., & Adamos, G. (2016). Smart interconnections of interurban and urban freight transport towards achieving sustainable citY logistics. Transportation Research Procedia, 14, 983-992. https://doi.org/10.1016/j.trpro.2016.05.078 google scholar
  37. Navarro, C., Roca-Riu, M., Furio, S., & Estrada, M. (2015). Designing new models for energY efficiencY in urban freight transport for smart cities and its application to the Spanish case. Transportation Research Procedia, 12, 314-324. https://doi.org/10.1016/j.trpro.2016. 02.068 google scholar
  38. Pan, S. L., Zhou, W., Piramuthu, S., Giannikas, V., & Chen, C. (2021). Smart citY for sustainable urban freight logistics. International Journal of Production Research, 59(7), 2079-2089. https://doi.org/10.1080/00207543.2021.1893970 google scholar
  39. Ramîk, J., & KorvinY, P. (2010). InconsistencY of pair-wise comparison matrix with fuzzY elements based on geometric mean. Fuzzy Sets and Systems, 161(11), 604-1613. https://doi.org/10.1016/j.fss.2009.10.011 google scholar
  40. Ranieri, L., Digiesi, S., Silvestri, B., & Roccotelli, M. (2018). A Review of Last Mile Logistics Innovations in an Externalities Cost Reduction Vision. Sustainability, 10(3), Article 782. https://doi.org/10.3390/su10030782 google scholar
  41. ReYes-Rubiano, L., Serrano-Hernandez, A., MontoYa-Torres, J. R., & Faulin, J. (2021). The SustainabilitY Dimensions in Intelligent Urban Transportation: A Paradigm for Smart Cities. Sustainability, 13(19), Article 10653. https://doi.org/10.3390/su131910653 google scholar
  42. Rodrigue, J. P., Dablanc, L., & Giuliano, G. (2017). The freight landscape: Convergence and divergence in urban freight distribution. Journal of Transport and Land Use, 10(1), 557-572. https://doi.org/10.5198/jtlu.2017.869 google scholar
  43. Russo, F., & Comi, A. (2021). Sustainable Urban Delivery: The Learning Process of Path Costs Enhanced by İnformation and Communication Technologies. Sustainability, 13(23), Article 13103. https://doi.org/10.3390/su132313103 google scholar
  44. Saaty, T. L. (1980). The analytic process: planning, priority setting, resources allocation. McGraw. google scholar
  45. Sahoo, S. K., & Goswami, S. S. (2023). A comprehensive review of multiple criteria decision-making (MCDM) Methods: advancements, applications, and future directions. Decision Making Advances, 1(1), 25-48. https://doi.org/10.31181/dma1120237 google scholar
  46. Serrano-Hernandez, A., Ballano, A., & Faulin, J. (2021). Selecting Freight Transportation Modes in Last-Mile Urban Distribution in Pamplona (Spain): An Option for Drone Delivery in Smart Cities. Energies, 14(16), Article 4748. https://doi.org/10.3390/en14164748 google scholar
  47. Shah, S. A. A., Solangi, Y. A., & İkram, M. (2019). Analysis of barriers to the adoption of cleaner energy technologies in Pakistan using Modified Delphi and Fuzzy Analytical Hierarchy Process. Journal of Cleaner Production, 235, 1037-1050. https://doi.org/10.1016/j. jclepro.2019.07.020 google scholar
  48. Shee, H. K., Miah, S. J., & De Vass, T. (2021). İmpact of smart logistics on smart city sustainable performance: an empirical investigation. google scholar
  49. International Journal of Logistics Management, 32(3), 821-845. https://doi.org/10.1108/İJLM-07-2020-0282 google scholar
  50. Skultety, F., Benova, D., & Gnap, J. (2021). City Logistics as an İmperative Smart City Mechanism: Scrutiny of Clustered EU27 Capitals. google scholar
  51. Sustainability, 13(7), Article 3641. https://doi.org/10.3390/su13073641 google scholar
  52. Xenou, E., Madas, M., & Ayfandopoulou, G. (2022). Developing a smart city logistics assessment framework (SCLAF): A conceptual tool for identifying the level of smartness of a city logistics system. Sustainability, 14(10), 6039. https://doi.org/10.3390/su14106039 google scholar
  53. Zysinska, M. (2020). Comparative analysis of the selected practices in the field of the urban logistics of Polish cities. 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 1852-1857. https://doi.org/10.23919/MİPRO48935. 2020.9245292 google scholar
  54. BarYkin, S. E., StrimovskaYa, A. V., Sergeev, S. M., BorisoglebskaYa, L. N., DedYukhina, N., SklYarov, I.,. & SaYchenko, L. (2023). Smart CitY logistics on the basis of digital tools for ESG goals achievement. Sustainability, 15(6), 5507. https://doi.org/10.3390/su15065507 google scholar