Impact of Runway Configuration on Flight Delays

Flight delays have become a major complication for many airlines around the world. In order to reduce the complications like economic loss and customer satisfaction, analyzing the data and causes of flight delays is a must. This study focuses on runway configuration as a factor for flight delays. The paper will also briefly analyze the different types of runway configurations. The study will conduct a statistical two-way ANOVA test to test flight delay data of selected airports in the United States. Runway configuration and hub types are taken as independent variables and flight delay data as the dependent variable for the analysis. The two-way ANOVA result fallouts to reject all the null hypotheses meaning there is no significant level of interaction between runway configuration types, hub types, and the interaction between runway configuration and hub types. This research concludes that there is no need for any specific runway configuration in order to reduce flight delays. The study will also help in the development of new airports according to the findings of the study.