Methodology of Safety Risk: Assessment of Adequacy of Measures

Article Preview

Abstract:

Safety, by definition, is a state of protection against hazards, which implies measures for reduction/evasion/exclusion of risks. Safety is relative, depending on the degree of implementation of measures in specific conditions. The concept of security should only be considered as a result of risk management. Modern risk management practice is the basic risk levels and balancing between the need to ensure a certain level of security and the economic feasibility of investment in security measures. In practice, despite the declared safety priorities, industries are balanced between investment in security and an acceptable level of risk, without considering the nature and degree of influence of security measures at the stage of their development. This method of balancing is characterized by the desire of business to formally meet the general standards of risk management in order to minimize costs, minimize social and other types of responsibility, for the sake of maximizing income, which is a common problem. This problem is particularly acute in the context of national and industrial security.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

327-334

Citation:

Online since:

January 2026

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2026 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Bielikov, A. S., Matsuk, Z. M., Shalomov, V. A., & Kharchenko, V. V. (2023). Enhancing rolling stock safety through a risk-oriented approach to "friction management" in the "wheel-rail" friction pair. Zaliznychnyi Transport Ukrainy, 3, 23–37

DOI: 10.34029/2311-4061-2023-148-3-23-36

Google Scholar

[2] Tarasiuk, O. (2025). Organizational aspects of the development of fire protection from ancient Rome to the military fire protection of modern Ukraine. National Interests of Ukraine, 4(9), 1026–1038

DOI: 10.52058/3041-1793-2025-4(9)-1026-1038

Google Scholar

[3] Blanco, C. C., Caro, F., & Corbett, C. J. (2019). Managing safety‐related disruptions: Evidence from the U.S. nuclear power industry. Risk Analysis, 39(3), 678–695

DOI: 10.1111/risa.13307

Google Scholar

[4] Zhang, J., Yin, X. L., Xing, J., & An, X. (2023). Dynamic risk assessment for train brake system considering time-dependent components and human factors. Computers & Industrial Engineering, 185, Article 109687

DOI: 10.1016/j.cie.2023.109687

Google Scholar

[5] Zarei, E., Khakzad, N., Cozzani, V., & Reniers, G. (2019). Safety analysis of process systems using fuzzy Bayesian network (FBN). Journal of Loss Prevention in the Process Industries, 57, 7–16

DOI: 10.1016/j.jlp.2018.10.011

Google Scholar

[6] Bazaluk, O., Tsopa, V., Cheberiachko, S., et al. (2023). Ergonomic risk management process for safety and health at work. Frontiers in Public Health, 11, Article 1253141

DOI: 10.3389/fpubh.2023.1253141

Google Scholar

[7] Mandal, M. K., & Mandal, A. (2023). Human reliability: Cognitive bias in people–system interface. In Risk, Reliability and Safety Engineering (p.127–138). Springer

DOI: 10.1007/978-981-99-5005-8_13

Google Scholar

[8] Hollcroft, B., Lyon, B. K., & Popov, G. (2022). Risk assessment: A practical guide to assessing operational risks (2nd ed.). Wiley. Information on https://www.wiley.com/en-us/Risk+Assessment%3A+A+Practical+Guide+to+Assessing+Operational+Risks%2C+2nd+Edition-p-9781119755920

DOI: 10.1002/9781119798323

Google Scholar

[9] Purkait, P., Mondal, S., Changmai, S., Volli, V., & Shu, C. (2024). Hazards and safety in process industries: Case studies. Routledge. https://www.routledge.com/Hazards-and-Safety-in-Process-Industries-Case-Studies/Purkait-Mondal-Changmai-Volli-Shu/p/book/9780367516512

DOI: 10.1201/9781003054764

Google Scholar

[10] Stockholm International Peace Research Institute (SIPRI). (2024). Environment of peace: Security in a new era of risks. Information on https://www.sipri.org/publications/2024/other-publications/environment-peace-security-new-era-risk

DOI: 10.1093/sipri/9780198930570.002.0008

Google Scholar

[11] International Atomic Energy Agency. (1993). Chernobyl accident: Updating of INSAG-1 (INSAG-7). IAEA. Information on https://www-pub.iaea.org/MTCD/Publications/PDF/ Pub913r_web.pdf

DOI: 10.1016/0160-4120(93)90296-t

Google Scholar

[12] International Atomic Energy Agency. (2015). The Fukushima Daiichi accident: Report by the Director General (Y. Amano, Ed.). IAEA. Information on https://www.iaea.org/publications/10962/the-fukushima-daiichi-accident

DOI: 10.61092/iaea.62ab-49j5

Google Scholar

[13] Kelman, M., & Ortynsky, V. (2021). Chernobyl disaster – a tragic lesson for all humanities: 35th anniversary of the Chernobyl accident. Visnyk Natsionalnoho Universytetu «Lvivska Politehnika». Seria: Yurydychni Nauky, 8(30), 1–7. Information on https://science.lpnu.ua/law/all-volumes-and-issues/volume-8-number-230-2021/chernobyl-disaster-tragic-lesson-all-humanities

DOI: 10.23939/law2021.30.001

Google Scholar

[14] Rama, H. F. S., & Bhaskara, A. (2022). Analisis risiko kecelakaan kerja pada proyek pembangunan dengan metode FMEA dan HAZOP. Rang Teknik Journal, 5(1), 110–115

DOI: 10.31869/rtj.v5i1.2844

Google Scholar

[15] Radzikhovska, L., & Husak, L. (2025). Using the theory of probabilities and mathematical statistics while teaching system analysis. Modern Information Technologies and Innovation Methodologies of Education in Professional Training Methodology Theory Experience Problems, 75, 106–114

DOI: 10.31652/2412-1142-2025-75-106-114

Google Scholar

[16] Höke, B., Turgay, Z., Ünsalan, C., & Küçükaydin, H. (2021). Determining and evaluating new store locations using remote sensing and machine learning. Turkish Journal of Electrical Engineering & Computer Sciences, 29, 1509–1523

DOI: 10.3906/elk-2005-202

Google Scholar

[17] WEB, J. (2020). Java coding bootcamp: Learn language basics and algorithm: More than hundred difficult problems with solutions – explained step by step, designed for beginners. Independently Published.

Google Scholar

[18] S.M.H.K., & Sharma, R. (2024). Comparative study of orchestration using gRPC API and REST API in server creation time: An Openstack case. International Journal of Computer Networks & Communications, 16(1), 87–104

DOI: 10.5121/ijcnc.2024.16106

Google Scholar

[19] Sahu, M., Pandey, H., & Deepak, S. S. K. (2025). Enhancing workplace safety to drive productivity: A comprehensive analysis using FMEA and HAZOP in industrial settings. International Journal of Research Publication and Reviews, 6(5), 5142–5148.

DOI: 10.55248/gengpi.6.0525.1755

Google Scholar

[20] Rosberg T., Thorslund B. Impact on driver behavior from ERTMS speed-filtering. Journal of Rail Transport Planning & Management. 2023. Vol. 26. P. 100386. URL:

DOI: 10.1016/j.jrtpm.2023.100386

Google Scholar

[21] Sumiła M. Disturbance of Trains Movement under the ERTMS Control System. Journal of Civil Engineering and Transport. 2023. Vol. 5, no. 2. P. 49–60. URL: https://doi.org/10.24136/tren. 2023.008

DOI: 10.24136/tren.2023.008

Google Scholar

[22] xAI. (2025). Grok (Version 3) [Computer software]. https://x.ai/grok.

Google Scholar

[23] ArcelorMittal Kryvyi Rih. (2022). Act No. 1 on the results of testing the technology of non-destructive friction surface engineering (Report No. 1). Shachtoupravlinnia Pidzemnoho Vydobutku Rudy, Public Joint Stock Company "ArcelorMittal Kryvyi Rih".

DOI: 10.31721/2306-5435-2020-1-107-96-101

Google Scholar