Impact Analysis of Weather Factors on Aircraft Cancellation using Multilayer Complex Network

Abstract

Abstract Aircraft is one of the most popular and important transportation services for passengers. However, its increased importance has become proportional to the increased aircraft cancellations, especially, by abnormal weather factors such as rainfall and wind speed. The previous studies have concentrated on ripple effects and individual factors of the cancellations rather than combined analysis of the factors. That is to say, we have studied aircraft cancellation using network analysis for only aircraft elements such as seat number and aircraft operation. Therefore, this study applied a multilayer complex network with three different factors of aircraft, rainfall, and wind speed for aircraft cancellation to 14 airports in South Korea. The multilayer complex network is useful for analyzing network which has various different factors. The results showed that rainfall had greater impact on aircraft cancellations than wind speed. Jeju airport was the greatest influence node by vital node identification analysis, because it had high demand of aircraft and was frequently affected by rainfall and wind speed. Through overall results, we have known that the multilayer complex network methodology can consider the relationship between the factors as well as the characteristics of each factor in analyzing the complex phenomenon.