Development Of The Flight Crew Human Factors Integration Tool

Geoffrey D. Gosling and Karlene H. Roberts

Institute of Transportation Studies, Research Reports, Working Papers, Proceedings from Institute of Transportation Studies, UC Berkeley

Abstract: In May 1996, the FAA announced a new and innovative approach to reach a goal of "zero accidents," known as the Global Analysis and Information Network (GAIN). This would be a privately owned and operated international information infrastructure for the collection, analysis, and dissemination of aviation safety information. It would involve the use of a broad variety of worldwide aviation data sources, coupled with comprehensive analytical techniques, to facilitate the identification of existing and emerging aviation safety problems. A major component of the GAIN approach is the application of innovative analysis capabilities to identify the types of human error that contribute to aviation accidents and incidents in order to develop prevention strategies. As part of its Flight Crew Accident and Incident Human Factors Project initiated in 1993, the FAA Office of System Safety has developed a new process that uses a prototype website-based Integration Tool (IT) to access, integrate, and analyze flight crew human factors data relevant to safety. In September 1996, the FAA Office of System Safety funded the National Center of Excellence for Aviation Operations Research to initiate a program of research to provide human factors support for the GAIN concept. The first phase of this research performed a technical review of the results achieved to date by the flight crew human factors project and developed a strategic plan to lay the foundations for a sound scientific approach to the analysis of human factors issues within the framework of the GAIN concept. This report documents follow-on research activities directed at continued development of the Integration Tool and developing better ways to identify error reduction strategies.

Keywords: Aircraft accidents--Human factors--Mathematical models; Aircraft accidents--Human factors--Data processing; Flight crews; Aeronautics--Human factors (search for similar items in EconPapers)
Date: 1998-08-01
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