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Characterization and Prediction of Air Transport Delays in China

Institute for Cross-Disciplinary Physics and Complex Systems, Campus Universitat de les Illes Balears, E-07122 Palma de Mallorca, Spain
National Key Laboratory of Communication, Navigation and Surveillance/Air Traffic Management, Beihang University, Beijing 100191, China
Aviation Data Communication Corporation, No. 238 Baiyan Building, Beijing 100191, China
National Engineering Laboratory for Multi-Modal Transportation Big Data, Beijing 100191, China
Department of Computer Science, Humboldt-University Berlin, 10117 Berlin, Germany
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(18), 6165;
Received: 3 August 2020 / Revised: 24 August 2020 / Accepted: 27 August 2020 / Published: 4 September 2020
(This article belongs to the Section Aerospace Science and Engineering)
Air transport delays are a major source of direct and opportunity costs in modern societies, being this problem is especially important in the case of China. In spite of this, our knowledge on delay generation is mostly based on intuition, and the scientific community has hitherto devoted little attention to this topic. We here present the first data-driven systemic study of air transport delays in China, of their evolution and causes, based on 11 million flights between 2016 and 2018. A significant fraction of the delays can be explained by a few variables, e.g., weather conditions and traffic levels, the most important factors being the presence of thunderstorms and the season of the year. Remaining delays can often be explained by en-route weather phenomena or by reactionary delays. This study contributes towards a better understanding of delays and their prediction through a data-driven methodology, leveraging on statistics and data mining concepts. View Full-Text
Keywords: air transportation; delay analysis; delay prediction air transportation; delay analysis; delay prediction
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MDPI and ACS Style

Zanin, M.; Zhu, Y.; Yan, R.; Dong, P.; Sun, X.; Wandelt, S. Characterization and Prediction of Air Transport Delays in China. Appl. Sci. 2020, 10, 6165.

AMA Style

Zanin M, Zhu Y, Yan R, Dong P, Sun X, Wandelt S. Characterization and Prediction of Air Transport Delays in China. Applied Sciences. 2020; 10(18):6165.

Chicago/Turabian Style

Zanin, Massimiliano, Yanbo Zhu, Ran Yan, Peiji Dong, Xiaoqian Sun, and Sebastian Wandelt. 2020. "Characterization and Prediction of Air Transport Delays in China" Applied Sciences 10, no. 18: 6165.

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