Dept of Computing Science GAAG University of Glasgow

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Dept of Computing ScienceGAAGUniversity of
Glasgow

• Xavier Lacaze
• 12/05/2005

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Pourquoi Glasgow ?

• Research Training Network
• Dept of computing science
• Glasgow Accident Analysis Group (GAAG)
• Prof. Chris Johnson
• Nick Chozos
• Tomasz Mistrzyk
• Sandra Basnyat

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Starting point

• One case study
• Five accident / incident analysis on the same
  case study
• And compare results

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Rhode Island

• A fire occurred on the night of 20/02/2003 in a
  night club in Rhode Island with 440 people
  inside. A band was performing on stage, between
  the dance floor and the raised platform. The band
  used pyrotechnics that ignited walls and ceiling,
  bans stop playing 30 seconds after the fire
  started, then evacuation begun. Fire and smoke
  spread quickly in the room, and the night club
  was not equipped with sprinkler. Most of people
  (two third) tried to escape via the main
  entrance. A crowd rush occurred in front of the
  main entrance, mainly due to the arrangement of
  the entrance.

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Reports of NIST (National Institute of Standards
and Technology).

• history of the building
• the timeline of the incident
• the emergency incident response
• materials testing
• computer simulation of fire and smoke spread
• analysis of building egress, standards, and the
  findings and recommendations

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Key points

• Building
• No sprinkler
• Ceiling ? acoustical wall ? wood
• 440 people instead of 420
• Evacuation delayed (part of the show)
• 2/3 people escape via the main entrance
• Corridor in main entrance
• Simulation shows that 90s after ignition the
  environment was untenable (gt400C)

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420 max
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PRISMA

• Prevention and Recovery Information System for
  Monitoring and Analysis Van der Schaaf 92, 96
• Classify causes of incidents or accidents
• Technical failure
• Human failure
• Skill-Based
• Rule-Based
• Knowledge-Based
• Organizational failure
• Two approaches are used
• Causal tree incident
• Eindhoven Classification Model (ECM) Van der
  Schaaf 92

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Results
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En plus de PRISMA

• Two different perspectives on classifying human
  error Svenson, 92.
• Lekberg, 97
• Human factor people Vs Computer Scientist
  background

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Perspectives

• Make experiments with
• People with human factor background
• People with computer scientist background
• Follow Lekberg prediction or not
• Modify ECM order change results?
• Technical reports for ADVISES
• To be presented in York (25/05/2005)

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University of Glasgow
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The end