The Covid-19 pandemic has caused many industries, especially the air transport industry, to
experience a crisis. It is important to analyze the change in the financial performance of …

Air transportation systems are exposed to disruptions, which have significant impact on
operations. Airlines operate tight schedules to maximise resource utilisation, however, the …

This paper presents an extensive theoretical and empirical analysis of the choice of
schedule buffers by airlines. With airline delays a continuing problem around the world, such …

This paper offers a simple approach for identifying propagated departure delays and
measuring their contribution to arrival delays. Under our approach, a propagated departure …

This study presents three different machine learning (ML) models to estimate the flight block
time for commercial airlines. The models rely only on explanatory variables that airlines …

The air transportation industry in South Korea has been growing since the 2000s. Although
the number of air passengers has continuously increased, the flight delay rate has fluctuated …

Flight delays are a well-known source of concern for the air traffic management. Numerous
assessments of delay causes have revealed that reactionary delay contributes the most to …

Airlines may manage their on-time performance by lengthening schedules with engineered
increases in planned flight times. We develop an econometric model of high dimensional …

Schedule padding is a frequent strategy applied by transport providers, often used to
improve their on-time performance. Normally, time efficiency is evaluated in terms of arrival …

Network-wide flight delay prediction has emerged as a severe and prominent issue within
the realm of intelligent aviation systems, owing to its crucial impact on flight scheduling …