Abstract
The article discusses the problem of determining safe work experience in conditions of increased intensity of hard work in Russia. It is especially relevant in construction industry. The need for an objective analysis of industrial accidents is an urgent task not only for the prevention of injuries, but also for improving environmental safety, interpreted as occupational risk management in order to protect the health of people of active working age. The research methodology was based on the analysis of the characteristics of the occupational diseases risk, depending on the level of existing harmful production factors, as well as the length of service. Occupational risk gradually increases nonlinearly over the course of the employee’s work experience, and in the experience sector the risk begins changing at an increasing rate. The new system for assessing working conditions introduced in 2014 cannot provide completely environmentally friendly and safe working conditions and acceptable risk (R). The environmental safety of production activities is a big question and is at high risk in the construction industry, in particular due to the huge number of concealment of occupational injuries, violations of the regenerative capacity of the human body, as well as the extension of the retirement age to 65 and 70 years. Therefore, it is required to introduce a mechanism (model), providing a real system for assessing working conditions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Reese CD (2018) Occupational Health and Safety Management: A Practical Approach. CRC Press, Boca Raton, FL
Kelloway EK, Francis L, Gatien B, Montgomery J (2021) Management of Occupational Health and Safety. Nelson, Toronto
McKinnon RC (2020) The Design, Implementation, and Audit of Occupational Health and Safety Management Systems. CRC Press, Boca Raton, FL
Dentch MP (2018) The ISO 45001: Guidance on Building an Occupational Health and Safety Management System. WI: Quality Press, Milwaukee
Idrisova JI, Myasnikov VN, Uljanov AI, Belina NV (2018) Increasing the efficiency of labor protection in the enterprise. In: Kwahakhoe HC (ed) The 32nd International Conference on Information Networking (ICOIN 2018), pp 586–588. IEEE, New York. https://doi.org/10.1109/ICOIN.2018.8343186
Sorokin, GA, Syurin SA (2019) Assessment of the impact of harmful working conditions and smoking on the health of industrial workers. Gigiena i Sanitaria (Hyg Sanit Russ J) 98(6):646–651. https://doi.org/10.18821/0016-9900-2019-98-6-646-651
Vadulina, NV, Gallyamov MA, Devyatova SM (2020) Occupational morbidity in Russia: problems and solutions. Saf Tech Nat Syst 3(1):7–15. https://doi.org/10.23947/2541-9129-2020-3-7-15
Hämäläinen P, Saarela KL, Takala J (2009) Global trend according to estimated number of occupational accidents and fatal work-related diseases at region and country level. J Saf Res 40(2):125–139. https://doi.org/10.1016/j.jsr.2008.12.010
Larionov A, Nezhnikova E, Smirnova E (2021) Risk assessment models to improve environmental safety in the field of the economy and organization of construction: a case study of Russia. Sustainability 13(24):13539. https://doi.org/10.3390/su132413539
Smirnova E (2020) The use of the Monte Carlo method for predicting environmental risk in construction zones. J Phys Conf Ser 1614:012083. https://doi.org/10.1088/1742-6596/1614/1/012083
Smirnova E (2020) Environmental risk analysis in construction under uncertainty. In: Sementsov S, Leontyev A, Huerta S, De Nava IMP (eds) Reconstruction and Restoration of Architectural Heritage, pp 222–227. CRC Press, London. https://doi.org/10.1201/9781003129097-47
Smirnova E (2021) Monte Carlo simulation of environmental risks of technogenic impact. In: Rybnov E, Akimov P, Khalvashi M, Vardanyan E (eds) Contemporary Problems of Architecture and Construction, pp 355–360. CRC Press, London. https://doi.org/10.1201/9781003176428
Nezhnikova E, Larionov A, Smirnova E (2021) Ecological risk assessment to substantiate the efficiency of the economy and the organization of construction. Hum Ecol Risk Ass 27(8):2069–2079. https://doi.org/10.1080/10807039.2021.1949262
Sorokin GA (2016) The age and work experience dynamics of indices of health of employees - criteria for comparison of occupational and nonoccupational risks. Gigiena i Sanitaria (Hyg Sanit Russ J) 95(4):355–360. https://doi.org/10.18821/0016-9900-2016-95-4-355-360
Swaen GMH, van Amelsvoort LGPM, Bültmann U, Kant IJ (2003) Fatigue as a risk factor for being injured in an occupational accident: results from the Maastricht Cohort Study. Occup Environ Med 60:i88–i92. https://doi.org/10.1136/oem.60.suppl_1.i88
Lukyanchikova TL, Yamschikova TN, Kletsova NV (2018) Komparativistskiy analiz proizvodstvennogo travmatizma: Rossiya i mir (Komparativistic analysis of production traumatism: Russia and the world). Ekonomika Truda (Ek Tr Russ) 5(3):647–662. https://doi.org/10.18334/et.5.3.39334
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Smirnova, E., Subbotina, N. (2023). Modeling Professional Risk. In: Guda, A. (eds) Networked Control Systems for Connected and Automated Vehicles. NN 2022. Lecture Notes in Networks and Systems, vol 510. Springer, Cham. https://doi.org/10.1007/978-3-031-11051-1_96
Download citation
DOI: https://doi.org/10.1007/978-3-031-11051-1_96
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-11050-4
Online ISBN: 978-3-031-11051-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)