2. WHO, 2015. Global status report on road safety. Available at: https://www.who.int/violence_injury_prevention/road_safety_status/2015/GSRRS2015_Summary_EN_final2.pdf?ua=1 (accessed: August 7, 2021).
3. Trubitsyn K.A. Safety and Organization of Labor Protection at the Motor Transport in the Russian Federation: Problems and Solutions. Bezopasnost Truda v Promyshlennosti = Occupational Safety in Industry. 2018. № 3. pp. 40–45. (In Russ.). DOI: 10.24000/0409-2961-2018-3-40-45
4. Azami-Aghdash S., Sadeghi-Bazargani H., Saadati M., Mohseni M., Gharaee H. Experts’ perspectives on the application of public-private partnership policy in prevention of road traffic injuries. Chinese Journal of Traumatology (English Edition). 2020. Vol. 23. Iss. 3. pp. 152–158. DOI: 10.1016/j.cjtee.2020.03.001
5. Çelik A.K., Oktay E. A multinomial logit analysis of risk factors influencing road traffic injury severities in the Erzurum and Kars Provinces of Turkey. Accident Analysis and Prevention. 2014. Vol. 72. pp. 66–77. DOI: 10.1016/j.aap.2014.06.010
6. Berecki-Gisolf J., Collie A., McClure R. Work disability after road traffic injury in a mixed population with and without hospitalization. Accident Analysis and Prevention. 2013. Vol. 51. pp. 129–134. DOI: 10.1016/j.aap.2012.11.010
7. STO Gazprom 18000.1-001—2021. Integrated System of Process Safety Management. Main Provisions. Available at: https://www.gazprom.ru/about/production/safety/ (accessed: May 10, 2021). (In Russ.).
8. Korotkiy A.A., Bakhteev O.A. Traffic accidents: main causes, accidents analysis, reduction methods. Bezopasnost tekhnogennykh i prirodnykh sistem = Safety of Technogenic and Natural Systems. 2019. № 2. pp. 50–55. (In Russ.). DOI: 10.23947/2541-9129-2019-2-50-55
9. Dementeva Yu.V. The impact of professional work experience on industrial injuries rate. Mir transporta = World of Transport and Transportation. 2015. Vol. 13. № 1 (56). pp. 198–204. (In Russ.).
10. Dementeva Yu.V. Correlation analysis of quantitative factor characteristic influence on statistic indicators of workplace injuries (using the Kuibyshev railway track facilities as an example). Vestnik Uralskogo gosudarstvennogo universiteta putey soobshcheniya = Herald of the Ural State University of Railway Transport. 2016. № 3 (31). pp. 139–147. (In Russ.). DOI: 10.20291/2079-0392-2016-3-139-147
11. Kvaginidze V.S., Zaripova S.N., Koretskaya N.A. Analysis of variance for assessment of industrial injury rates. Gornyy informatsionno-analiticheskiy byulleten (nauchno-tekhnicheskiy zhurnal) = Mining informational and analytical bulletin (scientific and technical journal). 2012. № 6. pp. 162–168. (In Russ.).
12. Ryabokonenko K.R. Analysis of the dependence of the driver age and length of service on safe driving. Logistika — evraziyskiy most: materialy 10-y Mezhdunar. nauch.-prakt. konf. (Logistics — the Eurasian Bridge: Materials of the 10th International Scientific and Practical Conference). Krasnoyarsk, 2015. pp. 537–541. (In Russ.).
13. Bar J.T. Quality tools. Part 4. Pareto diagrams. Metody menedzhmenta kachestva = Methods of quality management. 2000. № 7. pp. 27–30. (In Russ.).
14. Titova T.S. Industrial safety: textbook. Moscow: FGBOU «UMTs ZhDT», 2016. 415 p. (In Russ.).