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Analysis of the Schiphol Cell Complex fire using a Bayesian belief net based model

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  • Hanea, D.M.
  • Jagtman, H.M.
  • Ale, B.J.M.

Abstract

In the night of the 26 and 27 October 2005, a fire broke out in the K-Wing of the Schiphol Cell Complex near Amsterdam. Eleven of 43 occupants of this wing died due to smoke inhalation. The Dutch Safety Board analysed the fire and released a report 1 year later. This article presents how a probabilistic model based on Bayesian networks can be used to analyse such a fire. The paper emphasises the usefulness of the model for this analysis. In additional it discusses the applicability for prioritisation of the recommendations such as those posed by the investigation board for the improvements of fire safety in special buildings. The big advantage of the model is that it can be used not only for fire analyses after accidents, but also prior to the accident, for example in the design phase of the building, to estimate the outcome of a possible fire given different possible scenarios. This contribution shows that if such a model was used before the fire occurred the number of fatalities would have not come as a surprise, since the model predicts a larger percentage of people dying than happened in the real fire.

Suggested Citation

  • Hanea, D.M. & Jagtman, H.M. & Ale, B.J.M., 2012. "Analysis of the Schiphol Cell Complex fire using a Bayesian belief net based model," Reliability Engineering and System Safety, Elsevier, vol. 100(C), pages 115-124.
    • Handle: RePEc:eee:reensy:v:100:y:2012:i:c:p:115-124
    DOI: 10.1016/j.ress.2012.01.002
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    References listed on IDEAS

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    1. Morales, O. & Kurowicka, D. & Roelen, A., 2008. "Eliciting conditional and unconditional rank correlations from conditional probabilities," Reliability Engineering and System Safety, Elsevier, vol. 93(5), pages 699-710.
    2. Zio, E., 2009. "Reliability engineering: Old problems and new challenges," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 125-141.
    3. Hanea, D.M. & Jagtman, H.M. & van Alphen, L.L.M.M. & Ale, B.J.M., 2010. "Quantitative and qualitative analysis of the expert and non-expert opinion in fire risk in buildings," Reliability Engineering and System Safety, Elsevier, vol. 95(7), pages 729-741.
    4. Ale, B.J.M. & Bellamy, L.J. & Cooper, J. & Ababei, D. & Kurowicka, D. & Morales, O. & Spouge, J., 2010. "Analysis of the crash of TK 1951 using CATS," Reliability Engineering and System Safety, Elsevier, vol. 95(5), pages 469-477.
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    Cited by:

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    2. Panagiotis K. Marhavilas & Michael G. Tegas & Georgios K. Koulinas & Dimitrios E. Koulouriotis, 2020. "A Joint Stochastic/Deterministic Process with Multi-Objective Decision Making Risk-Assessment Framework for Sustainable Constructions Engineering Projects—A Case Study," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
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    5. Qi Yuan & Hongqinq Zhu & Xiaolei Zhang & Baozhen Zhang & Xingkai Zhang, 2022. "An Integrated Quantitative Risk Assessment Method for Underground Engineering Fires," IJERPH, MDPI, vol. 19(24), pages 1-26, December.
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