Examining factors contributing to fatigue among KLM cabin crew

Abstract

This research study examines the factors influencing fatigue levels among cabin crew members. The study utilizes interviews and a survey questionnaire to collect data on various variables. While factor analysis was initially intended, it was found unsuitable due to low variable correlation and a high unsuitable number of identified components. Consequently, regression and ANOVA analysis was performed. The dependent variables, reveals average fatigue levels among respondents compared to other healthy adult populations. The independent variable, time difference of 6-7 hours and quality of the hotel facilities have a positive significant influence and a flight duration of 8-12 hours has a negative significant influence on current fatigue levels in the regression model. Alarming fatigue signals from cabin crew are observed from West-American destinations and the Airbus A330 aircraft. The influence of WIFI on fatigue levels is also studied with a situational recall experiment. A paired sample t-test shows a significant difference of increased fatigue levels on planes with WIFI than those without. Although the appropriateness of using current fatigue levels as the dependent variable is questioned, the findings offer valuable insights into identifying fatigue among cabin crew members. These results emphasize the importance of considering multiple factors to mitigate fatigue-related issues in the aviation industry.

Date of Award	29 Jun 2023
Original language	English
Awarding Institution	Universidade Católica Portuguesa
Supervisor	Daniel Fernandes (Supervisor)