SMART LOGISTICS IN THE MANAGEMENT OF URBAN PUBLIC TRANSPORT ENTERPRISES
DOI:
https://doi.org/10.25313/3083-7782-2026-5-39Keywords:
smart city, smart logistics, logistics, logistics management, logistics flows, urban public transport, transportation planning, digital economy, digital platforms, digital technologies, digitalization, artificial intelligenceAbstract
Introduction. In the current conditions of economic digitalization and the development of the smart-city concept, smart logistics is becoming increasingly important as an innovative direction in the management of urban public transport enterprises. The use of digital technologies, intelligent transport systems, Big Data, the Internet of Things, and artificial intelligence contributes to increasing the efficiency of transport processes, improving the quality of passenger services, and ensuring the sustainable development of transport infrastructure. At the same time, the implementation of smart logistics in the activities of transport enterprises requires the generalization of scientific approaches and the identification of key principles and components of its functioning.
Purpose. The purpose of the study is to substantiate the theoretical foundations of smart logistics in the management of urban public transport enterprises, determine its principles, and characterize its main components in the context of the digital transformation of the transport system.
Materials and Methods. The study is based on the analysis of scientific works of domestic and foreign scholars concerning smart logistics, digitalization of transport infrastructure, and the development of intelligent transport systems. The methods of theoretical generalization, systematization, comparative analysis, and logical generalization were used in the research.
Results. The study summarizes scientific approaches to interpreting the essence of smart logistics and identifies technological and managerial-integrative approaches to its understanding. The author’s definition of smart logistics as an integrated digital system for managing transport, information, and resource flows is proposed. The main principles of smart logistics functioning are determined, including digitalization, integration, adaptability, automation, customer orientation, and sustainable development. The key components of smart logistics in the management of urban public transport enterprises are also characterized, including intelligent transport systems, GPS monitoring, Big Data, IoT, artificial intelligence, digital management platforms, and automated dispatching systems.
Prospects. Further research should focus on the development of practical mechanisms for implementing smart logistics at urban public transport enterprises, assessing the effectiveness of digital technologies, and substantiating models of digital transformation of transport infrastructure within the development of the smart-city concept.
References
Balbin P. P. et al. Predictive analytics on open big data for supporting smart transportation services. Procedia Computer Science. 2020. Vol. 176. P. 3009–3018. DOI: https://doi.org/10.1016/j.procs.2020.09.202
Bushuev S. et al. Creating urban transportation networks grounded in the principles of the smart port-city paradigm. Procedia Computer Science. 2023. Vol. 231. P. 323–328. DOI: https://doi.org/10.1016/j.procs.2023.12.211
Chung S. Applications of smart technologies in logistics and transport: A review. Transportation Research Part E: Logistics and Transportation Review. 2021. Vol. 153. DOI: https://doi.org/10.1016/j.tre.2021.102455
Elassy M. et al. Intelligent transportation systems for sustainable smart cities. Transportation Engineering. 2024. Vol. 16. DOI: https://doi.org/10.1016/j.treng.2024.100252
Huang Y. Smart logistics management in digital economy. Journal of Industrial Information Integration. 2021. Vol. 24. DOI: https://doi.org/10.1016/j.jii.2021.100233
Ivanov D. The Industry 5.0 framework: viability-based integration of the resilience, sustainability, and human-centricity perspectives. International Journal of Production Research. 2023. Vol. 61(5). DOI: https://doi.org/10.1080/00207543.2022.2118892
Varsányiné Szeredi V., Trenka Z. J., Pogatsnik M. Smart Logistics and Sustainability in Logistics 5.0. 2024 IEEE 6th International Symposium on Logistics and Industrial Informatics (LINDI). Karaganda, Kazakhstan, 23–25 October 2024. IEEE, 2024. DOI: 10.1109/LINDI63813.2024.10820412
Vidović K. et al. Methodology for public transport mode detection using telecom big data sets: Case study in Croatia. Transportation Research Procedia. 2022. Vol. 64. P. 76–83. DOI: https://doi.org/10.1016/j.trpro.2022.09.010
Zhu W. A spatial decision-making model of smart transportation and urban planning based on coupling principle and Internet of Things. Computers and Electrical Engineering. 2022. Vol. 102. DOI: 10.1016/j.compeleceng.2022.108222
Башмаков М. С. Умови ефективного управління логістичною транспортно-розподільчою системою регіону в сучасних умовах. Ефективна економіка. 2025. № 2. DOI: https://doi.org/10.32702/2307-2105.2025.2.105
Мартинович Н. О., Сандулов Є. Г. Проблеми та перспективи інтеграції штучного інтелекту у громадський транспорт в Україні: аналітичний контекст. Бізнес Інформ. 2025. № 9. C. 229–238. https://doi.org/10.32983/2222-4459-2025-9-229-238
Мацелюх Ю., Литвин В. Метод K-середніх для аналізу даних з організації пасажирських перевезень у розумному місті. Сучасний стан наукових досліджень та технологій в промисловості. 2025. № 1 (31). С. 83–101. DOI: https://doi.org/10.30837/2522-9818.2025.1.083
Нечипоренко Т. Д., Нарбут А. Р. Цифрова трансформація логістичної інфраструктури в контексті впровадження Smart Logistics. Сталий розвиток економіки. 2025. № 5(56). С. 432-438. https://doi.org/10.32782/2308-1988/2025-56-59
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Олександр Анатолійович Юрченко, Катерина Олегівна Никонюк, Аліна Василівна Ємець

This work is licensed under a Creative Commons Attribution 4.0 International License.