Modelling of Human-System Risk and Safety: Aviation Case Studies as Exemplars

The authors have created an Aviation System Risk Model (ASRM) to support advanced risk evaluations by using analytic generalization from multiple Bayesian models and influence diagrams. This method is a process that combines three concepts: Human Factors Analysis and Classification Systems, Bayesian Belief Networks and case studies to aid in safety-risk management. Three case studies of controlled-flight into terrain air traffic accidents are analyzed. Using the possible impact of the National Aeronautics and Space Administration's Aviation Security Program's product mapping for the case studies, the ASRM provides a percentage of the possible risk intensity of the consequence of the error.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/47250898
• Authors:
  • Andres, Denise M
  • Luxhoj, James T
  • Coit, David W
• Publication Date: 2005

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 137-167
• Serial:
  • Human Factors and Aerospace Safety
  • Volume: 5
  • Issue Number: 5
  • Publisher: Ashgate Publishing Limited
  • ISSN: 1468-9456
  • Serial URL: http://www.ashgate.com/subject_area/aviation/aviation_journals.htm

Subject/Index Terms

• TRT Terms: Air transportation crashes; Bayes' theorem; Case studies; Errors; Human factors in crashes; Risk assessment; Risk management; Safety management
• Identifier Terms: Human Factors Analysis and Classification System; U.S. National Aeronautics and Space Administration
• Uncontrolled Terms: Bayesian belief networks; Consequences; Controlled flight into terrain
• Subject Areas: Aviation; Safety and Human Factors;

Filing Info

• Accession Number: 01025285
• Record Type: Publication
• Files: TRIS
• Created Date: May 31 2006 9:31AM