Analysis and visualization of KLIA flight departure delay pattern

Abstract

The number of aircraft operating at Kuala Lumpur International Airport (KLIA) and at KLIA Terminal Control Area (TMA) has steadily increased over the year. It has been forecasted that by 2020, KLIA will reach a number of 63 million passengers per annum, which is more than 80% of its capacity. The aim of the study is to find a correlation between flight departure delay and air occupancy, as well as ground parameters of the departure. To achieve this, regression and correlation analysis were conducted on the traffic delay, air occupancy, runway departure and runway occupancy time. The data was acquired using Automatic Dependent Surveillance Broadcast (ADS-B) from 1/2/2019 to 28/2/2019. Based on the analysis, it was observed that the mean daily flight departure delay has a moderate positive relationship with TMA air occupancy with a correlation of r(26) = 0.550, p = 0.004. It can also be concluded that different combinations of routes used for the flight to depart, from its taxiing points to the departure runway, affects the delay of the departure. However, other parameters such as runway occupancy time and distance to runway only had a weak correlation (r lower than 0.5) towards departure delay.