The Influence of Visibility, Cloud Ceiling, Financial Incentive, and Personality Factors on General Aviation Pilots' Willingness to Take Off into Marginal Weather, Part I: The Data and Preliminary Conclusions

Knecht, William; Harris, H.; Shappell, Scott

i

The Influence of Visibility, Cloud Ceiling, Financial Incentive, and Personality Factors on General Aviation Pilots' Willingness to Take Off into Marginal Weather, Part I: The Data and Preliminary Conclusions

2005-04-01
By Knecht, William ; Harris, H. ; Shappell, Scott

File Language:

English

Details

Creators:

Knecht, William ; Harris, H. ; Shappell, Scott
Corporate Creators:

United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Civil Aerospace Medical Institute
Corporate Contributors:

United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Office of Aerospace Medicine
Subject/TRT Terms:
Publication/ Report Number:

DOT/FAA/AM-05/7
Resource Type:

Tech Report
Right Statement:

Public Domain
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Civil Aerospace Medical Institute
Abstract:

Adverse weather is the leading cause of fatalities in general aviation (GA). In this research, influences of ground visibility, cloud ceiling height, financial incentive, and personality were tested on 60 GA pilots' willingness to take off into simulated adverse weather. Results suggested that pilots do not see “weather” as a monolithic cognitive construct but, rather, as an interaction between its separate factors. This was supported by the finding that the multiplicative statistical effect of visibility and ceiling could better predict takeoff than could the linear effect of either variable considered separately. Also found was a statistical trend toward financial incentive being able to predict takeoffs. However, none of the 10 personality tests (incorporating over 500 separate response items) could predict takeoff.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/58469/dot_58469_DS1.pdf
File Type:

[PDF - 1.37 MB]
Collection(s):

FAA Civil Aerospace Medical Institute
Main Document Checksum:

urn:sha256:5616391380bb78c857acde8f6acd040a1108b23195a2287087275503e23ceb74

File Language:

English

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