A systems engineering approach to behavioral predictions of an advanced air traffic management concept

2002 ◽  
Author(s):  
B.F. Gore ◽  
K.M. Corker
Keyword(s):  
Systems Engineering ◽  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Engineering Approach ◽  
Management Concept ◽  
Behavioral Predictions

scholarly journals Co-Operative Air Traffic Management: Concept and Transition

2005 ◽  
Author(s):  
Thomas Prevot ◽  
Todd Callantine ◽  
Paul Lee ◽  
Joey Mercer ◽  
Vernol Battiste ◽  
...  
Keyword(s):  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Management Concept

Capacity-Enhancing Air Traffic Management Concept

2005 ◽  
Vol 42 (1) ◽  
pp. 105-112 ◽  
Author(s):  
Alvin L. Sipe ◽  
Robert W. Schwab ◽  
Aslaug Haraldsdottir ◽  
Ewald G. Schoemig ◽  
Marissa K. Singleton ◽  
...  
Keyword(s):  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Management Concept

A Capacity Enhancing Air Traffic Management Concept

2003 ◽  
Author(s):  
Alvin Sipe ◽  
Robert Schwab ◽  
Aslaug Haraldsdottir ◽  
Ewald Schoemig ◽  
Paul van Tulder ◽  
...  
Keyword(s):  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Management Concept

Safety Culture and Safety-Relevant Behavior in Air Traffic Management

2015 ◽  
Vol 5 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Michaela Schwarz ◽  
K. Wolfgang Kallus
Keyword(s):  
Safety Culture ◽  
Traffic Management ◽  
Service Providers ◽  
Five Factor Model ◽  
Principal Component ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Psychometric Validation ◽  
Safety Attitudes ◽  
Culture Development

Since 2010, air navigation service providers have been mandated to implement a positive and proactive safety culture based on shared beliefs, assumptions, and values regarding safety. This mandate raised the need to develop and validate a concept and tools to assess the level of safety culture in organizations. An initial set of 40 safety culture questions based on eight themes underwent psychometric validation. Principal component analysis was applied to data from 282 air traffic management staff, producing a five-factor model of informed culture, reporting and learning culture, just culture, and flexible culture, as well as management’s safety attitudes. This five-factor solution was validated across two different occupational groups and assessment dates (construct validity). Criterion validity was partly achieved by predicting safety-relevant behavior on the job through three out of five safety culture scores. Results indicated a nonlinear relationship with safety culture scales. Overall the proposed concept proved reliable and valid with respect to safety culture development, providing a robust foundation for managers, safety experts, and operational and safety researchers to measure and further improve the level of safety culture within the air traffic management context.

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