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Analyzing vehicle operator deviations / Alfretia Scarborough, Larry Bailey, Julia Pounds.
- Format:
- Book
- Government document
- Author/Creator:
- Scarborough, Alfretia
- Series:
- DOT/FAA/AM (Series) ; 08/17.
- DOT/FAA/AM ; 08/17
- Language:
- English
- Subjects (All):
- Runways (Aeronautics)--Safety measures.
- Runways (Aeronautics).
- Air traffic control--Safety measures.
- Air traffic control.
- Aircraft accidents--Human factors.
- Aircraft accidents.
- Aircraft accidents--Prevention.
- Physical Description:
- 1 online resource (44 unnumbered pages)
- Place of Publication:
- Washington, DC : Federal Aviation Administration, Office of Aerospace Medicine, [2008]
- Summary:
- Runway incursions (RIs) are one of the top safety issues for the Federal Aviation Administration (FAA). Considerable effort has gone into understanding how pilot deviations and air traffic control (ATC) operational errors contribute to RIs. In contrast, little is known about human factors issues related to vehicle operator deviations (VODs). VODs occur when a vehicle enters the airport movement area without ATC approval. We developed a VOD prediction model to help understand the human factors causes associated with different types of VODs. We then examined the validity of the model, using logistic regression and directed graphical modeling. Although the results of our analyses provided partial support for our prediction model, much of the data that we needed was missing due to incomplete reporting of the human factors associated with a given VOD. To aid in the development of a more comprehensive VOD reporting process, we adapted a human factors taxonomy used in air traffic control (JANUS-ATC) to ground operations (JANUS-GRO). JANUS-GRO was then used to demonstrate how VOD reporting could be improved.
- Notes:
- Title from title screen (viewed on November 25, 2008).
- "July 2008."
- Includes bibliographical references (page 12).
- "DOT/FAA/AM-08/17."
- Other Format:
- Scarborough, Alfretia. Analyzing vehicle operator deviations
- OCLC:
- 276930229
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