Comparative qualitative research distinguishing safety features among aviation safety action programs in the United States airlines

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Description
Over the years, aviation safety has been influenced by continuous implementations of both proactive and reactive policies by both regulatory boards and also, aviation service providers. This achievement has been possible mainly because of the safety management tools like the

Over the years, aviation safety has been influenced by continuous implementations of both proactive and reactive policies by both regulatory boards and also, aviation service providers. This achievement has been possible mainly because of the safety management tools like the Aviation Safety Action Program (ASAP) which derives its roots from the much earlier Aviation Safety Reporting System (ASRS). Federal Aviation Administration (FAA) provides guidelines and procedures for installation and development of an ASAP, for every airline in the United States. In this study, how different United States air carriers apply ASAP in their organizations is investigated.
Date Created
2016
Agent

The effect of situation presence assessment method (SPAM) on air traffic control students' workload and performance in high-fidelity simulations

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Description
This study examined the impact of Situation Presence Assessment Method (SPAM) administration on air traffic control (ATC) students’ task workload and performance in high-fidelity ATC simulations. ATC students performed high-fidelity en-route simulations in two conditions: baseline conditions (without SPAM questions)

This study examined the impact of Situation Presence Assessment Method (SPAM) administration on air traffic control (ATC) students’ task workload and performance in high-fidelity ATC simulations. ATC students performed high-fidelity en-route simulations in two conditions: baseline conditions (without SPAM questions) and SPAM conditions. The data collected show that while workload in the two conditions were not significantly different, there was a trend of higher mental workload in SPAM conditions than in baseline conditions. Performance immediately following SPAM questions was revealed to be poorer than that preceding the SPAM questions and that over the equivalent time periods in the baseline conditions. The results suggest that a "Ready" signal before a SPAM question may not be enough to eliminate the impact of SPAM administration on ATC students’ workload and performance in high-fidelity en-route simulations.
Date Created
2016
Agent

Generational differences in safety attitudes among commercial airline pilots

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Description
The objective of this study was to investigate the generational differences among US commercial airline pilots regarding their attitudes toward safety. A survey was distributed to three different US airlines: one major commercial airline, one regional airline, and one charter

The objective of this study was to investigate the generational differences among US commercial airline pilots regarding their attitudes toward safety. A survey was distributed to three different US airlines: one major commercial airline, one regional airline, and one charter airline. A total of 106 pilots participated in this study. The pilots were categorized into three groups of generations based on birth years: Baby Boomers: 1946-1964, Generation X: 1965-1980, and Generation Y: 1981-2000. Through the use of one-way Analysis of Variance (ANOVA), the results of the analyses found that there was no significant difference between the generations of pilots regarding safety attitudes. In the subcategory of self-confidence, the results indicated no significant differences between the different generations of pilots. However, in the subcategories of risk orientation and safety orientation, significant differences were detected among the three generations of pilots. Baby Boomers were found to have the lowest risk tolerance, while Generation Y had the highest. Conversely, Baby Boomers were found to have the highest safety orientation, with the lowest being that of Generation Y.
Date Created
2013
Agent