Preview

The Russian Automobile and Highway Industry Journal

Advanced search

Indices for assessing road safety levels in the regions of Russia

https://doi.org/10.26518/2071-7296-2025-22-1-68-77

EDN: XVCDWQ

Abstract

Introduction. The current problem of road safety state (RTS), which appears mainly in the deterioration of the demographic situation in the Russian Federation (RF), results in the need for a significant strengthening of state activities in increasing the level of road safety. To assess the level of road safety, a system of indicators is used based on the analysis of the number of road accidents with traffic flow density, motorization level, the number of people, etc. taken into account. 80 per cent of road accidents occur in populated areas, the vast majority of them taking place in the subjects of Russian regions. At the same time, about 90 per cent of accidents occur due to violation of traffic rules by drivers, 10 per cent – by pedestrians. Today, among 89 regions of the Russian Federation, there is significant heterogeneity, determined by a number of indicators related to the territorial location, economic, social and climatic conditions that affect certain human actions (human factor) as related to a participant in street and road traffic.

The purpose of the study is to determine indices for comparing cities in the road safety rating.

Materials and methods. The methodological basis of the research is mathematical and statistical assessment methods.

Results and discussion. The main result has been determination of parameters affecting the state of road safety. Eight indices have been grouped that characterize the level of road safety taking into account parameters of the human factor. A most important road safety parameter has been established, by considering the human factor in the “man – car – road – environment” system.

Conclusion. A new methodology for assessing the level of road safety in urban environment is proposed. Identifying the subjects of the Russian Federation is most appropriate for making priority management decisions aimed at improving road safety, taking into account the human factor. The methodology will make it possible to assess the effectiveness of solving key tasks related to the prevention of road accidents, the implementation of federal targeted programs and strategies in the field of road safety in the regions of Russia.

About the Authors

Irina E. Ilyina
Penza State Agrarian University; Penza Region State Budgetary Institution “Safe region”
Russian Federation

Ilina Irina Evgenievna – Cand. of Sci. (Eng.),, Associate Professor, Associate Professor of the Department of “Technical Service of Machines”; 1st category engineer of the Department of Construction and Development of the intelligent Transport system,

 30,  Botany St., Penza, 440014;

p. 3B, Okruzhnaya St., Penza, 440031.



Evgeny E. Vitvitsky
Siberian State Automobile and Highway University (SibADI)
Russian Federation

Vitvitsky Evgeny E. – Dr. of Sci. (Eng.), Professor, Head of the Department of Transport Organization and Traffic Safety Transportation; expert member of the Commission on Digital and Low Carbon Transformation of the Industry, Accelerated Implementation of New Technologies of the Public Council of the Russian Ministry of Transport,

5, Prospect Mira, Omsk, 644080. 



References

1. Korotayev A.V., Tsire S.V. Spectral analysis of the dynamics of the global gross domestic product (GDP): Kondratiev Waves, Kuznets Fluctuations, Jaglar and Kitchin cycles in global economic development and 2008-2009, A economic crisis. Structure and dynamics. 2010; 4.1: 3–57

2. Plotnikov А.М., Zhaнkaziev S.V., Guriн D.О. On the current results of activities aimed at achieving the target level of road safety in the regioнs of Russia. Transport of the Russian Federation. 2019; 5 (84): 45–49. (in Russ.) DOI: 10.47711/0868-6351-206-152-164

3. Petrov A.I. Dynamics and Forecast of Road Traffic Safety Management in Russia until 2030. Studies on Russian Economic Development. 2024; Vol. 35. No. 5: 716–724. DOI: 10.1134/S1075700724700254

4. Novikov A.N., Eremin S.V., Lomakin D.O. Assessment of road safety at the regional level. World of transport and technological machines. 2020; 3 (70): 72–79. (in Russ.) DOI: 10.33979/2073-7432-2020-70-3-72-79

5. Sil’yanov V.V., Kapitanov V.T., Monina O.Yu., Chubukov A.B. Forecast of road traffic fatalities based on socio-economic indicators. Advanced Science and Technology for Highways. 2017; 4: 4–6. (in Russ.)

6. Novikov I.A., Kravchenko A.A., Shevtsova A.G., Vasileva V.V. Scientificmethodological approach to reduce accidents on the roads of the Russian Federation. World of transport and technological machines. 2019; 3(66): 58–65. (in Russ.) DOI: 10.33979/2073-7432-2019-66-3-58-64

7. Kravchenko P.A., Oleshchenko E.M. System approach to road safety management in the Russian Federation. Transport Rossijskoj Federacii. 2018; 2 (75): 14–18. (in Russ.)

8. Ilyina I.E., Vitvitsky E.E. Methodology of stratification of the subjects of the Russian Federation on the state of road safety. World of transport and technological machines. 2022; 3-3 (78): 76–82. (in Russ.) DOI: 10.33979/2073-7432-2022-3(78)-3-76-82

9. Fattakhov R.V., Nizamutdinov M.M., Oreshnikov V.V. Ranking of Regions of Russia by the Demographic Situation Considering the Level of Development of Social Infrastructure. The world of new economy. 2020; 14(4): 96–109. (In Russ.) https://doi.org/10.26794/2220-6469-2020-14-4-96-109

10. Zedgenizov A.V., Bryanskih T.B. Assessment of тне intensity of individual transport traffic то high rise residenтial buildings in тне city of Irkutsk. Vestnik grazhdanskikh inzhenerov – Bulletin of Civil Engineers 2023; 3 (98): 97–104. (In Russ.) DOI: 10.23968/1999-5571-2023-20-3-97-104

11. Evtyukov S.S., Brylev I.S., Blinder M.M. Assessment of the impact of the cycling infrastructure of the city on the road safety of cyclists. The world of new economy. 2022; 3-2 (78): 76–84. (In Russ.) DOI: 10.23968/1999-5571-2023-20-3-97-104

12. Agureev I.E., Akhromeshin A.V. Approaches to formalizing the concept of transport behavior of the population of urban agglomerations. Intellekt. Intellect. Innovations. Investments. 2021; Vol. 2: 60–70. (In Russ.) DOI: 10.25198/2077-7175-2021-2-60.

13. Kravchenko P.A., Oleshchenko E.M. Systemicity, competence, responsibility - key factors in ensuring road safety in Russia. Transport Rossijskoj Federacii. 2016; 4 (65): 22–27. (In Russ.)

14. Novikov I.A., Shevcova A.G., Baharev G.A. Assessment of dynamics of accident rate on roads russian federation and measure for its decrease. Tekhnika i tekhnologii stroitel’stva. 2015; 4 (4): 5–10. (In Russ.)

15. Il’ina I.E. Road safety assessment techniques: a review. Transport Rossijskoj Federacii. 2020; 1 (86): 22–25. (In Russ.)

16. Trofimenko Yu.V., Shashina E.V. Influence of the human factor in road-traffic safety. Bezopasnost’ zhiznedeyatel’nosti. 2016; 1(181): 24–27. (In Russ.)

17. Evtyukov S.S., Golov E.V., Kolomeec A.A. The role of human factors in road traffic crashes. Transport business of Russia. 2018; 2: 196–199. (In Russ.)

18. Bebinov S.E., Trofimova L.S. Theoretical basis for development of indicators for improving training and retraining of specialists and passenger road transport personnel. The Russian Automobile and Highway Industry Journal. 2024; 21 (1): 48–61. (in Russ.) https://doi.org/10.26518/2071-7296-2024-21-1-48-61

19. Englezi I.P. Determining the probability of accidents on road network sections taking into account the human factor. Advanced Science and Technology for Highways. 2017; 4: 9–11. (in Russ.)

20. Zheleznov E.I., Kaz’mina E.V. Influence of driver’s experience and age on safe driving behavior. Izvestiya VolgGTU. 2012; T. 5. No 2(89): 64–66. (in Russ.)

21. Kurakina E.V., Sklyarova A.A. Road safety improvement in road traffic participant – vehicle – road – external environment system. The Russian Automobile and Highway Industry Journal. 2020; 17 (4): 488–499. (in Russ.) https://doi.org/10.26518/2071-7296-2020-17-4-488-499

22. Ageev E.V., Vinogradov E.S. Methodology for predicting errors by a candidate driver in the analysis of road situations. World of transport and technological machines. 2024; 1-1 (84): 63–72. (in Russ.) DOI: 10.33979/2073-7432-2024-1-1(84)-63-72

23. Volkov V.S., Lebedev E.G. Influence of quality of preparation of driving composition on non-hazards of movement. Voronezhskij nauchno-tekhnicheskij vestnik. 2023; 2(44): 81–87. (in Russ.)

24. Baskov V.N., Ignatov A.V.Performance assessment of the driver and its impact on the efficiency and safety of the transport process. World of transport and technological machines. 2022; 1 (76): 78–85. (in Russ.) DOI: 10.33979/2073-7432-2022-76-1-78-85

25. Il’ina, I.E. Identifying and assessing the influence of human factors in the occurrence of a road traffic accident. Transport: nauka, tekhnika, upravlenie. Nauchnyj informacionnyj sbornik. 2020; 9: 59–61. (in Russ.)

26. Vaa T. Cognition and emotion in driver behaviour models: some critical viewpoints. Institute of Transport Economics. Oslo. 2007: 48–59


Review

For citations:


Ilyina I.E., Vitvitsky E.E. Indices for assessing road safety levels in the regions of Russia. The Russian Automobile and Highway Industry Journal. 2025;22(1):68-77. (In Russ.) https://doi.org/10.26518/2071-7296-2025-22-1-68-77. EDN: XVCDWQ

Views: 198


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


ISSN 2071-7296 (Print)
ISSN 2658-5626 (Online)