IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i13p10613-d1187551.html
   My bibliography  Save this article

Identification of the Most Important Events to the Occurrence of a Disaster Using Maritime Examples

Author

Listed:
  • Dorota Chybowska

    (Independent Researcher, 72-123 Goleniów, Poland)

  • Leszek Chybowski

    (Department of Machine Construction and Materials, Faculty of Marine Engineering, Maritime University of Szczecin, 2 Willowa St., 71-650 Szczecin, Poland)

  • Jarosław Myśków

    (Department of Marine Power Plants, Faculty of Marine Engineering, Maritime University of Szczecin, 2 Willowa St., 71-650 Szczecin, Poland)

  • Jerzy Manerowski

    (Air Force Institute of Technology, 6 Księcia Bolesława St., 01-494 Warsaw, Poland)

Abstract

Previous studies on maritime disasters have noted the importance of searching for their causal factors in the analysis of different types of vessels and various regions where accidents have occurred. The main objective of the study that this article presents was to develop a new approach to modelling and causal analysis of the course of maritime disasters in order to provide a holistic evaluation of this phenomenon. The novel approach adopted to support the thesis combined event network analysis and fault tree analysis (used in functional analysis for modelling the structures of systems) in the process analysis. The authors advanced a thesis that, in the studied population of disasters, there were dominant classes of basic events in each phase of the process during the course of a disaster (distinguished by means of an event network). Thirty maritime disasters that occurred between 1912 and 2019 were selected for quantitative and qualitative analyses. In each disaster, the different phases of its course were distinguished: latent, initiating, escalating, critical, and energy release. A total of 608 basic events were identified in the population, enabling the identification and characterisation of 44 classes of events. The importance of the events in each of the phases was calculated by means of importance measures. The findings confirmed the thesis. At the same time, an analysis of the importance of basic events in each phase revealed that the most common basic events are not always the most important.

Suggested Citation

  • Dorota Chybowska & Leszek Chybowski & Jarosław Myśków & Jerzy Manerowski, 2023. "Identification of the Most Important Events to the Occurrence of a Disaster Using Maritime Examples," Sustainability, MDPI, vol. 15(13), pages 1-25, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10613-:d:1187551
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/13/10613/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/13/10613/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wróbel, Krzysztof & Montewka, Jakub & Kujala, Pentti, 2018. "Towards the development of a system-theoretic model for safety assessment of autonomous merchant vessels," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 209-224.
    2. Kyujin Jung & Minsun Song & Han Woo Park, 2018. "Filling the gap between bureaucratic and adaptive approaches to crisis management: lessons from the Sewol Ferry sinking in South Korea," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 277-294, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Leszek Chybowski & Marcin Szczepanek & Katarzyna Gawdzińska, 2024. "Arrhenius Equation for Calculating Viscosity in Assessing the Dilution Level of Lubricating Oil with Diesel Oil—A Case Study of SAE 30 and SAE 40 Grade Marine Lubricating Oils," Energies, MDPI, vol. 17(2), pages 1-19, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chang, Chia-Hsun & Kontovas, Christos & Yu, Qing & Yang, Zaili, 2021. "Risk assessment of the operations of maritime autonomous surface ships," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    2. Read, G.J.M. & Naweed, A. & Salmon, P.M., 2019. "Complexity on the rails: A systems-based approach to understanding safety management in rail transport," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 352-365.
    3. Victor Bolbot & Gerasimos Theotokatos & LA Wennersberg & Jerome Faivre & Dracos Vassalos & Evangelos Boulougouris & Ørnulf Jan Rødseth & Pål Andersen & Ann-Sofie Pauwelyn & Antoon Van Coillie, 2023. "A novel risk assessment process: Application to an autonomous inland waterways ship," Journal of Risk and Reliability, , vol. 237(2), pages 436-458, April.
    4. BahooToroody, Ahmad & Abaei, Mohammad Mahdi & Banda, Osiris Valdez & Kujala, Pentti & De Carlo, Filippo & Abbassi, Rouzbeh, 2022. "Prognostic health management of repairable ship systems through different autonomy degree; From current condition to fully autonomous ship," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    5. Johansen, Thomas & Blindheim, Simon & Torben, Tobias Rye & Utne, Ingrid Bouwer & Johansen, Tor Arne & Sørensen, Asgeir J., 2023. "Development and testing of a risk-based control system for autonomous ships," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    6. Hristos Karahalios, 2020. "Appraisal of a Ship’s Cybersecurity efficiency: the case of piracy," Journal of Transportation Security, Springer, vol. 13(3), pages 179-201, December.
    7. Li, Xue & Oh, Poong & Zhou, Yusheng & Yuen, Kum Fai, 2023. "Operational risk identification of maritime surface autonomous ship: A network analysis approach," Transport Policy, Elsevier, vol. 130(C), pages 1-14.
    8. Chen, Xi & Bose, Neil & Brito, Mario & Khan, Faisal & Thanyamanta, Bo & Zou, Ting, 2021. "A Review of Risk Analysis Research for the Operations of Autonomous Underwater Vehicles," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    9. Gil, Mateusz, 2021. "A concept of critical safety area applicable for an obstacle-avoidance process for manned and autonomous ships," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    10. Khastgir, Siddartha & Brewerton, Simon & Thomas, John & Jennings, Paul, 2021. "Systems Approach to Creating Test Scenarios for Automated Driving Systems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    11. Antão, P. & Sun, S. & Teixeira, A.P. & Guedes Soares, C., 2023. "Quantitative assessment of ship collision risk influencing factors from worldwide accident and fleet data," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    12. Zhang, Aibo & Yin, Zhaoyuan & Wu, Zhiying & Xie, Min & Liu, Yiliu & Yu, Haoshui, 2023. "Investigation of the compressed air energy storage (CAES) system utilizing systems-theoretic process analysis (STPA) towards safe and sustainable energy supply," Renewable Energy, Elsevier, vol. 206(C), pages 1075-1085.
    13. Fan, Cunlong & Montewka, Jakub & Zhang, Di, 2022. "A risk comparison framework for autonomous ships navigation," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    14. Shin, Sung-Min & Lee, Sang Hun & Shin, Seung Ki & Jang, Inseok & Park, Jinkyun, 2021. "STPA-Based Hazard and Importance Analysis on NPP Safety I&C Systems Focusing on Human–System Interactions," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    15. Fonseca, Tiago & Lagdami, Khanssa & Schröder-Hinrichs, Jens-Uwe, 2021. "Assessing innovation in transport: An application of the Technology Adoption (TechAdo) model to Maritime Autonomous Surface Ships (MASS)," Transport Policy, Elsevier, vol. 114(C), pages 182-195.
    16. de Vos, Jiri & Hekkenberg, Robert G. & Valdez Banda, Osiris A., 2021. "The Impact of Autonomous Ships on Safety at Sea – A Statistical Analysis," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    17. Wang, Yang & Chen, Peng & Wu, Bing & Wan, Chengpeng & Yang, Zaili, 2022. "A trustable architecture over blockchain to facilitate maritime administration for MASS systems," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    18. Utne, Ingrid Bouwer & Rokseth, Børge & Sørensen, Asgeir J. & Vinnem, Jan Erik, 2020. "Towards supervisory risk control of autonomous ships," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    19. Antonello, Federico & Buongiorno, Jacopo & Zio, Enrico, 2022. "A methodology to perform dynamic risk assessment using system theory and modeling and simulation: Application to nuclear batteries," Reliability Engineering and System Safety, Elsevier, vol. 228(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10613-:d:1187551. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.