Improving the Reliability and Efficiency of Transport Systems as a Result of Reducing their Accident Rate
https://doi.org/10.26794/1999-849X-2024-17-3-58-68
Abstract
The subject of the study is the state of accidents in the transport sector of the economy of the Russian Federation.
The objectives of the work are to put forward proposals to improve the methodology for assessing accidents and damage at enterprises in the transport sector and to identify new types of accidents that occur in transport as a result of changes in technologies, processes and social conditions, in order to establish optimal ways to reduce the damage caused. The difference in the interpretation of the concepts of “accident rate” and “damage” in transport has been revealed.
The practical significance of the study lies in the compilation of a typology of accidents, which makes it possible to plan a number of planned preventive measures and thereby prevent the onset of economic damage.
The methodology of accident assessment at transport enterprises is characterized. The causes of the accident of transport systems have been established. Measures aimed at reducing accidents have been identified, contributing to improving the reliability of transport systems and increasing the efficiency of their operation. When assessing the nature of accidents, local and regional aspects of the use of transport systems are taken into account, determining their current state and readiness for use. The author’s classification of accidents is given.
Conclusions are drawn about the need to introduce a single comprehensive program of anti-accident measures for each individual transport sector.
About the Authors
T. L. Melekhina
Financial University
Russian Federation
Russian Federation
Tatyana L. Melekhina — Cand. Sci. (Phys.— Math.), Assoc. Prof., Deputy Head of the Mathematics Department for Academic Affairs, Faculty of Information Technology and Big Data Analysis.
Moscow
A. A. Kochetkov
Financial University
Russian Federation
Russian Federation
Artur A. Kochetkov — Senior Lecturer, Department of Mathematics, Faculty of Information Technology and Big Data Analysis.
Moscow
References
1. Jaynes Edwin J. Prior probabilities. Transactions on Systems Science and Cybernetics, 1968;4(3):227–241.
2. Levenson Nancy. A new accident model for engineering safer systems. Safety Science. 2004;42(4):237–270.
3. Svenson Ola. The accident evolution and barrier function (aeb) model applied to incident analysis in the processing industries. Risk Analysis. 1991;11(3):499–507.
4. Simon H. Theories of decision making in economics and behavioural science. American Economic Review. 1959;49(3):253–283.
5. Makhutov N. A. Safety assurance: problems of quality and technical regulation. Problemy bezopasnosti i chrezvychajnykh situacij = Security and emergency issues. 2007;(6):31–36. (In Russ.).
6. Kjellen U., Albrechtsen E. Prevention of accidents and unwanted occurrences: theory, methods, and tools in safety management, Second Edition, CRC Press, 2017. 517 p.
7. James Reason, James T. Too little and too late. A commentary on accident and incident reporting. In Van Der Schaaf, T.W.; Lucas D.A.; Hale A.R., eds. Near Miss Reporting as a Safety Tool. Butterworth-Heinemann; 1991. 127 p.
8. Asaulenko E.V. Creation of a system for monitoring the innovative activities of a natural monopoly. Nauchnoprakticheskij zhurnal MIR = Scientific and practical journal MIR. 2015;21(2):61–69. (In Russ.).
9. Yakunin V. I. Innovative activities about JSC Russian Railways. Transport v Rossijskoj Federacii = Transport in Russian Federation. 2010;26(1):10–12. (In Russ.).
10. Martynyuk I.V. Risk criteria for transportation in emergency situations. Mir transporta = World of Transport. 2018;75(2):212–219. (In Russ.).
11. Makhutov A. N. Expert assessment of tasks for implementing the requirements of national security strategies and scientific and technological development of Russia in railway transport. Byulleten’ ob»edinennogo uchenogo soveta OAO “RZhD” = Bulletin of the United Academic Council of JSC Russian Railways. 2018;(2):1–13. (In Russ.).
12. Arkhipov E.P. Features of calculations of economic damage from emergencies. Moskovskij ekonomicheskij zhurnal = Moscow Economic Journal. 2019;(9):245–251. (In Russ.).
13. Sultanov R.M. Forecasting emergency situations during the transportation of petroleum products by rail. Zhurnal Problemy sbora, podgotovki i transporta nefti i nefteproduktov = Journal of Problems of collection, preparation and transport of oil and petroleum products. 2017;107(1):176–185. (In Russ.).
14. Fine W. T., Kinney W. D. Mathematical evaluation for controlling hazards. Journal of Safety Research. 1971;3(4):157–166.
15. Jocelyn S., Chinniah Y., Ouali M., Contribution of dynamic experience feedback to the quantitative estimation of risks for preventing accidents: a proposed methodology for machinery safety. Safety Science. 2016;88:64–75.
16. Zwetsloot G. I.H.M., Kines P., Wybo, J. L. Zero accident vision based strategies in organisations: Innovative perspectives. Safety Science. 2017;91:260–268.
17. Smirnov A. Yu. Analysis of the development of the transport system of St. Petersburg. Mir novoj ekonomiki = The world of the new economy. 2021;15(2):89–96. (In Russ.).
18. Malov V. Yu. Problems of forming the backbone transport network of Russia in the context of economic security of transit and export transportation (historical experience). Mir novoj ekonomiki = World of New Economics. 2014;(4):51–57. (In Russ.).
19. Goroshnikova T.A., Donde, O.I. The role of the transport and logistics complex of the Russian Federation in the expansion of integration processes. Mir novoj ekonomiki = World of New Economics. 2022;16(4):88–98. (In Russ.).
20. Malov V. Yu., Melentyev B.V. Political economy and forecasting tools. Mir novoj ekonomiki = World of New economics. 2020;14(2):73–81. (In Russ.).
Review
For citations:
Melekhina T.L., Kochetkov A.A. Improving the Reliability and Efficiency of Transport Systems as a Result of Reducing their Accident Rate. Economics, taxes & law. 2024;17(3):58-68. (In Russ.) https://doi.org/10.26794/1999-849X-2024-17-3-58-68
Views:
15
Email this article 