Wesonga, RonaldNabugoomu, FabianbMasimbi, Brian2022-12-052022-12-052013Ronald, W., Fabian, N., & Brian, M. Assessing Aircraft Timeliness Variations By Major Airlines: Passenger Travel Practice In Uganda.ISSN 2307-4531https://nru.uncst.go.ug/handle/123456789/5844Flight delays do not only affect passenger satisfaction but also carry along costly consequences to airlines. The overall objective of the study was to assess aircraft timeliness variations by major airlines so as to determine passenger travel practice in Uganda. The study hypotheses were tested using a two-way ANOVA F-test and further measures of associations. The study found out that the number of schedules of each airline per day had a positive effect on the delay duration, whereby an additional schedule increased the average delay by a proportion of 11%. Whereas the day of the week F(16, 1129) = 1.36, p >0.01 had no significant difference in the delays amongst the airlines, the month of the year F(33, 1107) = 1.88, p < 0.001 showed a significant difference. However, the total variance of the delays was attributed to the airline (29%). It was also demonstrated from the analysis that Eagle Air (EA), Kenya Airways (KA) and South African Airways (SAA) experienced more delays than the British Airways (BAW) by 33%, 62% and 55% respectively. Other than Wednesday, flights were delayed more on all the days of the week and less delayed in the months of October and November than in June by 26% and 3% respectively. On Saturdays and Sundays, flights were found to have longer periods of delay (p<0.05) that averaged 14 and 13 minutes respectively. The flights in January and March had longer delays (15 and 14 minutes) than that recorded in the other months. Therefore, it can be concluded that the passengers who use BAW are less likely to delay than the other (EA, KA and SAA) airlines and travelling in the months of October and November is highly recommended. Given that airline delay is positively correlated with the number of scheduled flights, a policy framework could be developed to optimise schedules and airline delays during departure at the airport. The template is used to format your paper and style the text. All margins, column widths, line spaces, and text fonts are prescribed; please do not alter them. The template is used to format your paper and style the text. All margins, column widths, line spaces, and text fonts are prescribed; please do not alter them.enAirport managementdeparture delayanalysis of variancemonthArticle