Geoinformation modeling in transportation management
Abstract
The purpose of this paper is to study the application of geoinformation modeling in transportation process management. A comparative analysis of logistics and geoinformation technologies is provided. Common areas of application are highlighted. A taxonomy of logistics technologies is presented, and the application of geoinformation science to these areas is demonstrated. It is shown that, in the context of the digitalization of transport and logistics, digital modeling in geoinformation science is suitable for the implementation of digital logistics technologies. Geoinformation modeling incorporates digital and non-digital methods, thereby uniting digital and non-digital logistics. Geoinformation modeling in logistics allows for the creation of more reliable transportation plans and the accumulation of experience in executing transportation in complex conditions.
About the Author
I. A. DubchakRussian Federation
Dubchak I.A. ― Head of the Department of New Projects and Technologies
References
1. Markelov V.M. Application Geodata in Logistics // European Researcher. 2012, (33), № 11-1. -pp 1835-1837.
2. Shekhovtsov R. V. Service logistics //Rostov-on-Don: Publishing House of the APSN of the Russian Academy of Sciences. – 2003. - pp 240.
3. Markelov V.M. Logistics and spatial economics // Slavic Forum. - 2013. - 1(3). - pp.91-95.
4. Markelov V.M. Spatial information as a management factor // State Councilor. – 2013. - No. 4. – pp 34-38.
5. Palagin Yu. I. Logistics—planning and management of material flows. – St. Petersburg: Polytechnic, 2012. - 286 p.:
6. Kovalenko N.I. Integration of geoinformatics and logistics // Prospects of science and education- 2014. - No. 6. - pp.26-30.
7. Tsvetkov V. Ya. Geoinformation morphism. Educational resources and technologies. 2024. No. 4 (49). pp. 84-91.
8. Khazanova L. E. Logistics. Methods and models of material flow management - M.: BECK, 2003. -113 p.
9. Haralambides H. E. Gigantism in container shipping, ports and global logistics: a timelapse into the future //Maritime Economics & Logistics. – 2019. – Vol. 21. – No. 1. – pp. 1-60.
10. Selviaridis K., Norrman A. Performance-based contracting for advanced logistics services: challenges in its adoption, design and management //International Journal of Physical Distribution & Logistics Management. – 2015.
11. Uusitalo J. A framework for CTL method-based wood procurement logistics //International Journal of Forest Engineering. - 2005. – Vol. 16. – No. 2. – pp. 37-46.
12. Konstantakopoulos G. D., Gayialis S. P., Kechagias E. P. Vehicle routing problem and related algorithms for logistics distribution: A literary review and classification //Operational research. – 2022. – Vol. 22. – No. 3. – pp. 2033-2062.
13. Xu J., Shi Y., Zhao S. Reverse logistics network-based multiperiod optimization for construction and demolition waste disposal //Journal of Construction Engineering and Management. – 2019. – Vol. 145. – No. 2.
14. Prajapati H., Kant R., Shankar R. Bequeath life to death: State-of-art review on reverse logistics //Journal of cleaner production. – 2019. – Vol. 211. – pp. 503-520.
15. Baah C., Jin Z., Tang L. Organizational and regulatory stakeholder pressures friends or foes to green logistics practices and financial performance: investigating corporate reputation as a missing link //Journal of cleaner production, 2020, vol. 247.
16. Wegelius-Lehtonen T. Performance measurement in construction logistics //International journal of production economics. – 2001. – Vol. 69. – No. 1. – pp. 107-116.
17. Levin B.A., Efimova O. V. Digital logistics and electronic data exchange in freight transportation //Mir transport. – 2017. – Vol. 15. – No. 2. – pp. 142-149.
18. Levin B.A., Tsvetkov V.Ya. Digital railway: principles and technologies // The world of transport. - 2018. - T. 16. - №3 (76). - pp. 50-61.
19. Dolgy A.I., Rozenberg I.N., Tsvetkov V.Ya. Spatial logic in the process of unauthorized vehicle operation // In the collection: AIP Conference Proceedings. Melville, New York, United States of America, 2021.
20. Bratus, N. V. Formal models of information certainty and uncertainty in the information field / N. V. Bratus, A.V. Rachkov // Educational Resources and technologies. – 2025. – № 2(51). – pp. 85-92.
21. Tsvetkov V. Ya., Markelov V.M. Application of digital models in logistics // Geodesy and cartography. - 2013. - No. 7. - pp.59-62.
22. Tsvetkov V.Ya. Intellectualization of transport logistics // Railway transport. - 2011. - No. 4. – pp. 38-40
23. Savinykh V.P., Tsvetkov V.Ya. Development of artificial intelligence methods in geoinformatics // Transport of the Russian Federation. - 2010. -No. 5. - pp.41-43.
24. Buchkin D.V. The state and development of intelligent GIS // Information and space. 2020. - No. 3. pp. 119-123.
25. Mayorov A.A., Tsvetkov V.Ya., Markelov V.M. Geoinformation approach in logistics // Geodesy and Aerial Photography, 2012, No. 6, pp. 93-97.
Review
For citations:
Dubchak I.A. Geoinformation modeling in transportation management. Logistics and Supply Chain Management. 2025;22(4):4-14. (In Russ.)