Delay propagation network in air transport systems based on refined nonlinear Granger causality. Issue 1 (31st December 2022)

• Record Type: Journal Article
• Authors: Jia, Ziyu; Cai, Xiyang; Hu, Yihan; Ji, Junyu; Jiao, Zehui
• Is Part Of: Transportmetrica. Volume 10:Issue 1(2022)
• Page Start: 586
• Page End: 598
• Publication Date: 2022-12-31
• Subjects: Granger causality -- delay propagation -- complex network -- conditional mutual information; Transportation -- Mathematical models -- Periodicals; 388.015118
• DOI: 10.1080/21680566.2021.2024102
• Languages: English
• ISSNs: 2168-0566

Abstract

Abstract : To probe deeply into the underlying mechanism of flight delay propagation, we construct the delay propagation networks among airports via refined nonlinear Granger causality, which is more fitting on nonlinear airport delay data and obtain more precise causal estimation. Specifically, the causal analysis method is used to determine the delay propagation relationship between airports. The delay propagation relationship of these airport pairs constitutes an airport delay propagation network, in which the nodes and edges of the network, respectively, represent the specific airport and the delay propagation relationship between airports. Complex network theory is then applied to analyse the global structure of delay propagation networks, indicating that small airports are inclined to cause or exacerbate delays. In addition, the airlines' delay propagation networks display that the delay propagation by large airlines spread wider while the delay propagation by small airlines spread faster. These findings can be employed to design strategies for delay propagation dampening.