IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v237y2023i2p314-331.html
   My bibliography  Save this article

On the use of leading safety indicators in maritime and their feasibility for Maritime Autonomous Surface Ships

Author

Listed:
  • Krzysztof Wróbel
  • Mateusz Gil
  • PrzemysÅ‚aw Krata
  • Karol Olszewski
  • Jakub Montewka

Abstract

Although the safety of prospective Maritime Autonomous Surface Ships will largely depend on their ability to detect potential hazards and react to them, the contemporary scientific literature lacks the analysis of how to achieve this. This could be achieved through an application of leading safety indicators. The aim of the performed study was to identify the research directions of leading safety indicators in three safety-critical operational aspects of Maritime Autonomous Surface Ships: collision avoidance, intact stability, and communication. To achieve this, literature review is performed, taking into account scientific documents including journal and conference papers. The results indicate that the need for establishing operational leading safety indicators is recognized by numerous scholars, who sometimes make suggestions of what the set of indicators shall consist of. Some leading safety indicators for autonomous vessels are readily identifiable in the scientific literature and used in current practice. However, the research effort is lacking a holistic approach to the issue.

Suggested Citation

  • Krzysztof Wróbel & Mateusz Gil & PrzemysÅ‚aw Krata & Karol Olszewski & Jakub Montewka, 2023. "On the use of leading safety indicators in maritime and their feasibility for Maritime Autonomous Surface Ships," Journal of Risk and Reliability, , vol. 237(2), pages 314-331, April.
  • Handle: RePEc:sae:risrel:v:237:y:2023:i:2:p:314-331
    DOI: 10.1177/1748006X211027689
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1748006X211027689
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1748006X211027689?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Martha Grabowski & Premnath Ayyalasomayajula & Jason Merrick & Denise Mccafferty, 2007. "Accident precursors and safety nets: leading indicators of tanker operations safety," Maritime Policy & Management, Taylor & Francis Journals, vol. 34(5), pages 405-425, October.
    2. Montewka, Jakub & Goerlandt, Floris & Innes-Jones, Gemma & Owen, Douglas & Hifi, Yasmine & Puisa, Romanas, 2017. "Enhancing human performance in ship operations by modifying global design factors at the design stage," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 283-300.
    3. Aven, Terje & Heide, Bjørnar, 2009. "Reliability and validity of risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 94(11), pages 1862-1868.
    4. Lutz Kretschmann, 2020. "Leading indicators and maritime safety: predicting future risk with a machine learning approach," Journal of Shipping and Trade, Springer, vol. 5(1), pages 1-22, December.
    5. Govindaraj, T., 2008. "Characterizing performance in socio-technical systems: A modeling framework in the domain of nuclear power," Omega, Elsevier, vol. 36(1), pages 10-21, February.
    Full references (including those not matched with items on IDEAS)

    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. Goerlandt, Floris & Islam, Samsul, 2021. "A Bayesian Network risk model for estimating coastal maritime transportation delays following an earthquake in British Columbia," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    2. 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.
    3. Mazurek, J. & Lu, L. & Krata, P. & Montewka, J. & Krata, H. & Kujala, P., 2022. "An updated method identifying collision-prone locations for ships. A case study for oil tankers navigating in the Gulf of Finland," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    4. Rosqvist, Tony, 2010. "On the validation of risk analysis—A commentary," Reliability Engineering and System Safety, Elsevier, vol. 95(11), pages 1261-1265.
    5. Wu, Bing & Yip, Tsz Leung & Yan, Xinping & Guedes Soares, C., 2022. "Review of techniques and challenges of human and organizational factors analysis in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    6. Yang, Zhisen & Yang, Zaili & Yin, Jingbo, 2018. "Realising advanced risk-based port state control inspection using data-driven Bayesian networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 38-56.
    7. Aven, Terje & Renn, Ortwin, 2018. "Improving government policy on risk: Eight key principles," Reliability Engineering and System Safety, Elsevier, vol. 176(C), pages 230-241.
    8. HÃ¥vold, Jon Ivar, 2010. "Safety culture and safety management aboard tankers," Reliability Engineering and System Safety, Elsevier, vol. 95(5), pages 511-519.
    9. 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).
    10. Terje Aven, 2018. "An Emerging New Risk Analysis Science: Foundations and Implications," Risk Analysis, John Wiley & Sons, vol. 38(5), pages 876-888, May.
    11. Overholts II, Dale L. & Bell, John E. & Arostegui, Marvin A., 2009. "A location analysis approach for military maintenance scheduling with geographically dispersed service areas," Omega, Elsevier, vol. 37(4), pages 838-852, August.
    12. Kunsch, P.L. & Kavathatzopoulos, I. & Rauschmayer, F., 2009. "Modelling complex ethical decision problems with operations research," Omega, Elsevier, vol. 37(6), pages 1100-1108, December.
    13. Qudrat-Ullah, Hassan, 2015. "Independent power (or pollution) producers? Electricity reforms and IPPs in Pakistan," Energy, Elsevier, vol. 83(C), pages 240-251.
    14. Zio, Enrico, 2016. "Challenges in the vulnerability and risk analysis of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 137-150.
    15. Terje Aven, 2012. "Foundational Issues in Risk Assessment and Risk Management," Risk Analysis, John Wiley & Sons, vol. 32(10), pages 1647-1656, October.
    16. Munim, Ziaul Haque & Sørli, Michael André & Kim, Hyungju & Alon, Ilan, 2024. "Predicting maritime accident risk using Automated Machine Learning," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
    17. Wang, Xinjian & Liu, Zhengjiang & Loughney, Sean & Yang, Zaili & Wang, Yanfu & Wang, Jin, 2022. "Numerical analysis and staircase layout optimisation for a Ro-Ro passenger ship during emergency evacuation," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    18. Zhou, Jian-Lan & Lei, Yi, 2020. "A slim integrated with empirical study and network analysis for human error assessment in the railway driving process," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    19. Li, Jue & Li, Heng & Wang, Fan & Cheng, Andy S.K. & Yang, Xincong & Wang, Hongwei, 2021. "Proactive analysis of construction equipment operators’ hazard perception error based on cognitive modeling and a dynamic Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    20. Goerlandt, Floris & Montewka, Jakub, 2015. "Maritime transportation risk analysis: Review and analysis in light of some foundational issues," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 115-134.

    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:sae:risrel:v:237:y:2023:i:2:p:314-331. 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: SAGE Publications (email available below). General contact details of provider: .

    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.