Actual problems of innovative economy and law

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Intelligent transport systems as a tool for implementing ESG strategies of industrial enterprises

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УДК: 658.012:656.025.4:502.131.1

DOI: https://doi.org/10.36887/2524-0455-2026-3-8

Volikov Volodymyr,
PhD in Economics,
Institute for Single Crystals of National Academy of Sciences of Ukraine, Kharkiv, Ukraine,
https://orcid.org/0000-0002-4107-6277
Horot Andriy,
PRIMARILY LLC, 1317 Edgewater dr., #514, Orlando, FL 32821,
https://orcid.org/0009-0006-8715-9752

The purpose of the article is to substantiate the role of intelligent transport systems (Intelligent Transport Systems, ITS) in ensuring the environmental, social, and managerial effectiveness of industrial enterprises, as well as to develop a conceptual model for integrating ITS into the overall strategy of sustainable development of the enterprise. It is substantiated that modern ITS are evolving into a comprehensive tool for ensuring the environmental, social, and managerial effectiveness of business. The author’s definition of ITS is proposed as a dynamic organizational and technological complex that combines information and communication technologies, telematics and analytical algorithms for coordinating transport and logistics processes in real time, which ensures synchronization of warehouse, production and sales processes and transforms intra-factory logistics into a flexible system capable of instantly responding to changes in production schedules, which increases its adaptability, minimizing unplanned downtime, optimizing routes and maximizing the efficiency of using enterprise resources. Based on an analysis of experience in the EU and the USA, world practice in ITS development is summarized. It is established that the European model is focused on decarbonization and climate neutrality, while the American one is focused on economic sustainability and the security of logistics systems. It is proven that the common drivers of both approaches are artificial intelligence, the industrial Internet of Things, digital twins, and predictive analytics. The specifics of the impact of ITS tools on the components of the ESG concept are determined. A conceptual model of ITS integration into the sustainable development strategy of an industrial enterprise has been developed, which illustrates the connection between digital technologies, logistics, and ESG results. An organizational and economic mechanism for implementing ITS has been proposed, based on the interaction of managerial, digital, and adaptive circuits. The practical significance of the results lies in creating a methodological basis for digital modernization of enterprise infrastructure in accordance with the principles of sustainable development. A promising direction for further exploration is the development of a system for integral assessment of the ESG efficiency of the use of ITS tools.

Keywords: ESG, intelligent transportation systems, industrial enterprises, digital logistics, digital twin, decarbonization, transportation analytics.

References.

  1. Woschank, M., Steinwiedder, D., Kaiblinger, A., Miklautsch, P., Pacher, C., & Zsifkovits, H. (2022). The Integration of Smart Systems in the Context of Industrial Logistics in Manufacturing Enterprises. Procedia Computer Science, 200, 727–737. https://doi.org/10.1016/j.procs.2022.01.271
  2. Pham, N., Tran, P., Le, M.-H., Vo, H., Pham, C., & Nguyen, H.-D. (2022). The Effects of ESG Combined Score on Business Performance of Enterprises in the Transportation Industry. Sustainability, 14, Article 8354. https://doi.org/10.3390/su14148354
  3. European Commission. (2024). Intelligent Transport Systems – Cooperative, Connected and Automated Mobility (ITS-CCAM) and Electromobility (RP2024). European Union. https://interoperable-europe.ec.europa.eu/collection/rolling-plan-ict-standardisation/intelligent-transport-systems-cooperative-connected-and-automated-mobility-its-ccam-and-2
  4. S. Government Accountability Office. (2023). Intelligent Transportation Systems: Benefits Related to Traffic Congestion and Safety Can Be Limited by Various Factors (Report No. GAO-23-105740). GAO. https://www.gao.gov/products/gao-23-105740
  5. Petrella, M., et al. (2024). Intelligent Transportation Systems Deployment Tracking Survey: 2023 Key Findings (Report No. FHWA-JPO-24-144). U.S. Department of Transportation Volpe National Transportation Systems Center. https://rosap.ntl.bts.gov/view/dot/78507
  6. Yan, H., & Li, Y. (2025). Generative AI for Intelligent Transportation Systems: Road Transportation Perspective. ACM Computing Surveys, 57(12), 1–45. https://doi.org/10.1145/3719290
  7. Symonenko, R. V. (2021). Pidvyshchennia efektyvnosti ekspluatatsii kolisnykh transportnykh zasobiv na osnovi intelektualnykh telematychnykh tekhnolohii [Improving the operational efficiency of wheeled vehicles based on intelligent telematics technologies] (Doctoral dissertation, National Transport University).
  8. Kovalevych, L. A. (2023). Obhruntuvannia parametriv roboty tekhnolohichnoho transportu v umovakh shchebenevykh karieriv [Substantiation of operational parameters of technological transport in crushed stone quarries] (Doctoral dissertation, Zhytomyr Polytechnic State University).
  9. Volikov, V., & Panchenko, I. (2025). Stratehichnyi analiz vprovadzhennia kamernykh system monitorynhu (CMS) na tansporti Ukrainy (PEST ta SWOT) [Strategic analysis of camera monitor systems (CMS) implementation in Ukrainian transport (PEST and SWOT)]. Modeling the Development of the Economic Systems, (4), 225–233. https://doi.org/10.31891/mdes/2025-18-28
  10. Lenort, R., Wicher, P., Samolejová, A., Zsifkovits, H., Raith, C., Miklautsch, P., & Pelikanova, J. (2022). Selecting Sustainability Key Performance Indicators for Smart Logistics Assessment. Acta Logistica, 9(4), 467–478. https://doi.org/10.22306/al.v9i4.350
  11. Volikov, V., & Panchenko, I. (2026). Predyktyvne upravlinnia ta zabezpechennia tsyfrovoi stiikosti lohystychnykh protsesiv transportnykh pidpryiemstv na osnovi intehratsii CMS u zakhyshcheni tsyfravi dviinyky [Predictive management and ensuring digital resilience of logistics processes of transport enterprises based on CMS integration into secure digital twins]. Terytoriia Bezpeky, 2(1), 10–19. https://doi.org/10.20998/3083-6298.2026.01.02
  12. Kar, A. K., Choudhary, S. K., & Singh, V. K. (2022). How can artificial intelligence impact sustainability: A systematic literature review. Journal of Cleaner Production, 376, Article 134120. https://doi.org/10.1016/j.jclepro.2022.134120
  13. Kays, H. M. I. (2022). Towards Unifying Resilience and Sustainability for Transportation Infrastructure Systems: Conceptual Framework, Critical Indicators, and Research Needs. arXiv. https://arxiv.org/abs/2208.10039
  14. Saad, S. M., & Khamkham, M. (2022). Advances in Manufacturing Technology XXXV: Proceedings of the 19th International Conference on Manufacturing Research. University of Derby.
  15. European Commission. (2024). European Green Deal: Transport and Mobility Sector Report 2024. European Union.
  16. US Department of Transportation. (2023). Smart Mobility Strategy 2023-2025.
  17. TechNode Global. (2023). BEST Inc. Publishes 2022 ESG Report, Driving Green Logistics through Digitalization. TechNode Global. https://technode.global/prnasia/best-inc-publishes-2022-esg-report-driving-green-logistics-through-digitalization/
  18. CH Robinson. (2023). CH Robinson Meets Emissions Goal Early, Releases 2022 ESG Report. CH Robinson. https://www.chrobinson.com/en-au/about-us/newsroom/press-releases/2023/05-30-2022-esg-report/
  19. EP Logistics International. (2024). Sustainability Report 2024. EP Logistics International. https://www.eplogistics.cz/en/clanek/399_sustainability-report-2024
  20. Li, K., & Zheng, B. (2026). A Big Data-Enabled Model for Optimizing Corporate Governance Decisions and HR Allocation. Journal of Cases on Information Technology, 28, 1–16. https://doi.org/10.4018/JCIT.405426

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Volikov V. , Horot A. Intelligent transport systems as a tool for implementing ESG strategies of industrial enterprises. Actual problems of innovative economy and law. 2026. №3. 50-57 pp. https://doi.org/10.36887/2524-0455-2026-3-8

Quote article, MLA style

Volikov V. , Horot A. Intelligent transport systems as a tool for implementing ESG strategies of industrial enterprises. Actual problems of innovative economy and law. https://doi.org/10.36887/2524-0455-2026-3-8