IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v95y2010i2p87-98.html
   My bibliography  Save this article

Development and evaluation of a computer-aided system for analyzing human error in railway operations

Author

Listed:
  • Kim, Dong San
  • Baek, Dong Hyun
  • Yoon, Wan Chul

Abstract

As human error has been recognized as one of the major contributors to accidents in safety-critical systems, there has been a strong need for techniques that can analyze human error effectively. Although many techniques have been developed so far, much room for improvement remains. As human error analysis is a cognitively demanding and time-consuming task, it is particularly necessary to develop a computerized system supporting this task. This paper presents a computer-aided system for analyzing human error in railway operations, called Computer-Aided System for Human Error Analysis and Reduction (CAS-HEAR). It supports analysts to find multiple levels of error causes and their causal relations by using predefined links between contextual factors and causal factors as well as links between causal factors. In addition, it is based on a complete accident model; hence, it helps analysts to conduct a thorough analysis without missing any important part of human error analysis. A prototype of CAS-HEAR was evaluated by nine field investigators from six railway organizations in Korea. Its overall usefulness in human error analysis was confirmed, although development of its simplified version and some modification of the contextual factors and causal factors are required in order to ensure its practical use.

Suggested Citation

  • Kim, Dong San & Baek, Dong Hyun & Yoon, Wan Chul, 2010. "Development and evaluation of a computer-aided system for analyzing human error in railway operations," Reliability Engineering and System Safety, Elsevier, vol. 95(2), pages 87-98.
    • Handle: RePEc:eee:reensy:v:95:y:2010:i:2:p:87-98
    DOI: 10.1016/j.ress.2009.08.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832009002099
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2009.08.005?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ola Svenson, 1991. "The Accident Evolution and Barrier Function (AEB) Model Applied to Incident Analysis in the Processing Industries," Risk Analysis, John Wiley & Sons, vol. 11(3), pages 499-507, September.
    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. Bing Wu & Xinping Yan & Yang Wang & C. Guedes Soares, 2017. "An Evidential Reasoning‐Based CREAM to Human Reliability Analysis in Maritime Accident Process," Risk Analysis, John Wiley & Sons, vol. 37(10), pages 1936-1957, October.
    2. Xu, Bin & Wu, Qi & Xi, Chen & He, Ren, 2020. "Recognition of the fatigue status of pilots using BF–PSO optimized multi-class GP classification with sEMG signals," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    3. Felipe Aguirre & Mohamed Sallak & Walter Schön & Fabien Belmonte, 2013. "Application of evidential networks in quantitative analysis of railway accidents," Journal of Risk and Reliability, , vol. 227(4), pages 368-384, August.
    4. Zhou, Jian-Lan & Tu, Ren-Fang & Xiao, Hai, 2022. "Large-scale group decision-making to facilitate inter-rater reliability of human-factors analysis for the railway system," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    5. Huang, Cheng-Hao & Huang, Ding-Hsiang & Lin, Yi-Kuei, 2023. "Network reliability prediction for random capacitated-flow networks via an artificial neural network," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    6. Al-Baraa Abdulrahman Al-Mekhlafi & Ahmad Shahrul Nizam Isha & Nicholas Chileshe & Mohammed Abdulrab & Ahmed Farouk Kineber & Muhammad Ajmal, 2021. "Impact of Safety Culture Implementation on Driving Performance among Oil and Gas Tanker Drivers: A Partial Least Squares Structural Equation Modelling (PLS-SEM) Approach," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    7. Chen, Yuanjiang & Feng, Wei & Jiang, Zhiqiang & Duan, Lingling & Cheng, Shuangyi, 2021. "An accident causation model based on safety information cognition and its application," Reliability Engineering and System Safety, Elsevier, vol. 207(C).

    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. Singh, Kritika & Maiti, J, 2020. "A novel data mining approach for analysis of accident paths and performance assessment of risk control systems," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    2. Misuri, Alessio & Landucci, Gabriele & Cozzani, Valerio, 2020. "Assessment of safety barrier performance in Natech scenarios," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    3. Jing Wu & Mengchu Song & Xinxin Zhang & Morten Lind, 2023. "Safeguards identification in computer aided HAZOP study by means of multilevel flow modelling," Journal of Risk and Reliability, , vol. 237(5), pages 922-946, October.
    4. Santos-Reyes, Jaime & Olmos-Peña, Samuel & Alvarado-Corona, Rafael & Hernández-Simón, Luis, 2009. "Applying MORT to the analysis of the “Tláhuac†incident," Reliability Engineering and System Safety, Elsevier, vol. 94(10), pages 1547-1556.

    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:eee:reensy:v:95:y:2010:i:2:p:87-98. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    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.