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Using Bayesian Networks to Model Accident Causation in the UK Railway Industry

  • William Marsh
  • George Bearfield

Abstract

We describe a method of modelling organisational causes of accidents, using Bayesian Networks. A rigorous method is used to relate interactions within the organisation operating the system to causal factors for accidents. Using examples from a model of the causes of SPAD incidents in the UK railways, we describe how such a model can be used for risk assessment.

Keywords

Bayesian Network Causal Model Organisational Factor Driver Trainer Radar Group 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • William Marsh
    • 1
  • George Bearfield
    • 2
  1. 1.RADAR Group, Queen MaryUniversity of LondonLondonUK
  2. 2.Atkins RailEuston TowerLondonUK

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