Non-standard risk model for applications in railway transport

• Autorzy: Gill Adrian

Identyfikatory

DOI

10.20858/sjsutst.2024.124.5

• Języki publikacji: EN

Abstrakty

EN

In risk management in railway transport, standard risk models are usually used based on its typical definition and discrete quantification. This approach allows for easy justification of the adopted model, most often by referring to appropriate norms or standards (such as IRIS). The scientific approach does not disqualify the practical use of standard risk models, but its disadvantages (especially typical risk matrices, including their subjectivity) are increasingly being pointed out. In risk management procedures, most frequently one model is used to assess the risk of all identified hazards. This may turn out to be a mistake, considering the specific characteristics of the hazards. A risk model applied to one hazard may not be adequate to assess the risk of another. Therefore, it should be individually adapted both in terms of variables and the ranges of their measurement values. For some hazards, it will even be necessary to develop or adopt non-standard models. The aim of the article is to present non-standard risk models that provide a base for their easy implementation in safety management procedures used by railway entities.

Słowa kluczowe

EN

railway; risk model; RAMS

PL

kolej; model ryzyka; RAMS

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Transport / Politechnika Śląska
• Rocznik: 2024
• Tom: z. 124
• Strony: 63--75
• Opis fizyczny: Bibliogr. 39 poz.

Twórcy

autor

Gill Adrian

• Faculty of Civil and Transport Engineering, Poznan University of Technology, pl. M. Skłodowskiej-Curie 5, 60-965 Poznań, Poland

• https://orcid.org/0000-0002-2655-4584

Bibliografia

• 1. An M., Y. Chen. 2018. “Fuzzy Reasoning Approach and Fuzzy Analytical Hierarchy Process for Expert Judgment Capture and Process in Risk Analysis”. In: Handbook of RAMS in Railway Systems - Theory and Practice, edited by Q. Mahboob, E. Zio. P.: 441-474. Boca Raton: CRC Press Taylor & Francis Group. ISBN: 1351978799.
• 2. Appoh F., A. Yunusa-Kaltungo. 2022. „Dynamic Hybrid Model for Comprehensive Risk Assessment: A Case Study of Train Derailment Due to Coupler Failure”. IEEE Access 10: 24587-24600. DOI: 10.1109/ACCESS.2022.3155494.
• 3. Appoh F., A. Yunusa-Kaltungo, J.K. Sinha, M. Kidd. 2021. „Practical Demonstration of a Hybrid Model for Optimising the Reliability, Risk, and Maintenance of Rolling Stock Subsystem”. Urban Rail Transit 7(2): 139-157. DOI: 10.1007/s40864-021-00148-5.
• 4. Aven T. 2015. Risk Analysis. West Sussex: John Wiley & Sons, Ltd. ISBN: 9781119057796.
• 5. Aven T., E. Zio. 2014. „Foundational Issues in Risk Assessment and Risk Management”. Risk Analysis 34(7): 1164-1172. DOI: 10.1111/risa.12132.
• 6. Berrado A. 2011. „A Framework for Risk Management in Railway Sector: Application to Road-Rail Level Crossings”. The Open Transportation Journal 5(1): 34-44. DOI: 10.2174/1874447801105010034.
• 7. Bianchini A., F. Donini, M. Pellegrini, C. Saccani. 2017. „An innovative methodology for measuring the effective implementation of an Occupational Health and Safety Management System in the European Union”. Safety Science 92: 26-33. DOI: 10.1016/j.ssci.2016.09.012.
• 8. Bureika G., E. Gaidamauskas, J. Kupinas, M. Bogdevičius, S. Steišūnas. 2017. „Modelling the assessment of traffic risk at level crossings of Lithuanian railways”. Transport 32(3): 282-290. DOI: 10.3846/16484142.2016.1244114.
• 9. Center for Chemical Process and Safety - New York. 2010. Guidelines for Developing Quantitative Safety. Hoboken New Jersey: John Wiley & Sons, Inc. ISBN: 9780470261408.
• 10. Chai N., W. Zhou. 2022. „Evaluating operational risk for train control system using a revised risk matrix and FD-FAHP-Cloud model: A case in China”. Engineering Failure Analysis 137: 106268. DOI: 10.1016/j.engfailanal.2022.106268.
• 11. Cox L.A. 2008. „What’s wrong with risk matrices?” Risk Analysis 28(2): 497-512. DOI: 10.1111/j.1539-6924.2008.01030.x.
• 12. Mac Donald D. 2004. Practical Machinery Safety. Burlington: Elsevier Ltd. ISBN: 9780750662703.
• 13. Ercegovac P., G. Stojić, M. Kopić, Ž. Stević, F. Sinani, I. Tanackov. 2021. „Model for risk calculation and reliability comparison of level crossings”. Entropy 23(9): 1230. DOI: 10.3390/e23091230.
• 14. Fu Y., Y. Qin, W. Wang, X. Liu, L. Jia. 2020. „An Extended FMEA Model Based on Cumulative Prospect Theory and Type-2 Intuitionistic Fuzzy VIKOR for the Railway Train Risk Prioritization”. Entropy 22(12): 1418. DOI: 10.3390/e22121418.
• 15. Gajewska P., I. Szewczyk, G. Koulouris. 2023. „Enhancing the accessibility of railway transportation for individuals with physical disabilities”. Transport Problems 18(3): 213-225. DOI: 10.20858/tp.2023.18.3.18.
• 16. Gashaw T., K. Jilcha. 2022. „Developing a fuzzy synthetic evaluation model for risk assessment: a case of Addis-Djibouti railway construction Project”. Innovative Infrastructure Solutions 7(2): 154. DOI: 10.1007/s41062-022-00753-8.
• 17. Gill A., P. Smoczyński P. 2018. „Layered model for convenient designing of safety system upgrades in railway”. Safety Science 110PB: 168-176. DOI: 10.1016/j.ssci.2017.11.024.
• 18. Huang W., R. Zhang, M. Xu, Y. Yu, Y. Xu, G.J. De Dieu. 2020. „Risk state changes analysis of railway dangerous goods transportation system: Based on the cusp catastrophe model”. Reliability Engineering and System Safety 202: 107059. DOI: 10.1016/j.ress.2020.107059.
• 19. Huang Y., Z. Zhang, Y. Tao, H. Hu. 2022. „Quantitative risk assessment of railway intrusions with text mining and fuzzy Rule-Based Bow-Tie model”. Advanced Engineering Informatics 54: 101726. DOI: 10.1016/j.aei.2022.101726.
• 20. Kadziński A. 2013. Studium wybranych aspektów niezawodności systemów oraz obiektów pojazdów szynowych. [In Polish: Study on selected dependability aspects of systems and rail vehicles objects]. Poznań: Poznań University of Technology Publishing House. ISBN: 9788377752890.
• 21. Kobaszyńska-Twardowska A., A. Kadziński A. 2013. „The model of railway crossings as areas of analyses of hazard risk management”. Logistics and Transport 2(18).
• 22. Liang C., M. Ghazel, O. Cazier, L. Bouillaut. 2020. „Advanced model-based risk reasoning on automatic railway level crossings”. Safety Science 124: 104592. DOI: 10.1016/j.ssci.2019.104592.
• 23. Macura D., M. Laketić, D. Pamučar, D. Marinković. 2022. „Risk Analysis Model with Interval Type-2 Fuzzy FMEA - Case Study of Railway Infrastructure Projects in the Republic of Serbia”. Acta Polytechnica Hungarica 19(3): 103-118. DOI: 10.12700/APH.19.3.2022.3.9
• 24. Nedeliaková E., M.P. Hranický, M. Valla. 2022. „Risk identification methodology regarding the safety and quality of railway services”. Production Engineering Archives 28(1): 21-29. DOI: 10.30657/pea.2022.28.03.
• 25. PKP Polskie Linie Kolejowe S.A. 2021. Procedura SMS/MMS-PR-02 - Ocena ryzyka technicznego i operacyjnego. Warszawa: PKP Polskie Linie Kolejowe S.A. [In Polish: PKP Polish Railway Lines S.A. 2021. SMS/MMS-PR-02 procedure - Technical and operational risk assessment. Warsaw: PKP Polish Railway Lines S.A.].
• 26. PN-EN 50126-2:2018. Zastosowania kolejowe. Specyfikowanie i wykazywanie niezawodności, dostępności, podatności utrzymaniowej i bezpieczeństwa (RAMS). Część 2: Sposoby podejścia do bezpieczeństwa. Warszawa: Polski Komitet Normalizacyjny. [In Polish: PN-EN 50126-2:2018. Railway applications - Specifying and demonstrating reliability, availability, maintainability and safety (RAMS) - Part 2: Safety approaches. Warsaw: Polish Committee of Standardization].
• 27. Rahimdel M.J., B. Ghodrati. 2021. „Risk prioritization for failure modes in mining railcars”. Sustainability 13(11): 6195. DOI: 10.3390/su13116195.
• 28. Saracino A., M. Curcurutob, V. Pacinic, G. Spadoni, D. Guglielmi, C. Saccani, V.M. Bocci, M. Cimarelli. 2012. „IPESHE: an Index for Quantifying the Performance for Safety and Health in a Workplace”. Chemical Engineering Transactions 26: 489-494. DOI: 10.3303/CET1226082
• 29. Schöne E.J., Q Mahboob. 2018. “Application of Risk Analysis Methods for Railway Level Crossing Problems”. In: Handbook of RAMS in Railway Systems - Theory and Practice, edited by Q. Mahboob, E. Zio. P. 551-569. Boca Raton: CRC Press Taylor & Francis Group. ISBN: 1351978799.
• 30. Smoczyński P. 2018. „Zarządzanie ryzykiem zagrożeń generowanych podczas eksploatacji infrastruktury kolejowej”. PhD thesis. Poznań: Politechnika Poznańska. [In Polish: „Risk management of hazards generated during the operation of railway infrastructure”. PhD thesis. Poznan: Poznan University of Technology].
• 31. Society for Risk Analysis (SRA). 2018. Society for Risk Analysis Glossary. Herndon, Wirginia: Society for Risk Analysis.
• 32. Szaciłło L., M. Krześniak, D. Jasiński, D. Valis. 2022. „The use of the risk matrix method for assessing the risk of implementing rail freight services”. Archives of Transport 64(4): 89-106. DOI: 10.5604/01.3001.0016.1185.
• 33. Szmel D., D. Wawrzyniak. 2017. „Application of FMEA method in railway signalling project”. Journal of KONBiN 42(1): 93-110. DOI: 10.1515/jok-2017-0020.
• 34. Terabe S., T. Kato, H. Yaginuma, N. Kang, K. Tanaka. 2019. „Risk Assessment Model for Railway Passengers on a Crowded Platform”. Transportation Research Record: Journal of the Transportation Research Board 2673(1): 524-531. DOI: 10.1177/0361198118821925.
• 35. Thekdi S., T. Aven. 2024. „Characterization of biases and their impact on the integrity of a risk study”. Safety Science 170: 106376. DOI: 10.1016/j.ssci.2023.106376.
• 36. Vincoli J.W. 2014. Basic Guide to System Safety. New Jersey: John Wiley & Sons Inc. ISBN: 9781118904589.
• 37. Willis H.H. 2007. „Guiding Resource Allocations Based on Terrorism Risk”. Risk Analysis 27(3): 597-606. DOI: 10.1111/j.1539-6924.2007.00909.x.
• 38. Xu T., Z. Song, D. Guo, Y. Song. 2020. „A Cloud Model-Based Risk Assessment Methodology for Tunneling-Induced Damage to Existing Tunnel”. Advances in Civil Engineering 2020: 11. DOI: 10.1155/2020/8898362.
• 39. Zięba M. 2022. „Model oceny ryzyka w transporcie kolejowym w kontekście wdrażania interoperacyjności systemu kolei w Polsce”. PhD thesis. Warszawa: Politechnika Warszawska. [In Polish: „Risk assessment model for rail transport in the context of implementing interoperability on the railway system in Poland”. PhD thesis. Warsaw: Warsaw University of Technology].