Air delay propagation patterns in Europe from 2015 to 2018: an information processing perspective

Abstract

The characterisation of delay propagation is one of the major topics of research in air transport management, due to its negative effects on the cost-efficiency, safety and environmental impact of this transportation mode. While most research works have naturally framed it as a transportation process, the successful application of network theory in neuroscience suggests a complementary approach, based on describing delay propagation as a form of information processing. This allows reconstructing propagation patterns from the dynamics of the individual elements, i.e. from the evolution observed at individual airports, without the need of additional a priori information. We here apply this framework to the analysis of delay propagation in the European airspace between 2015 and 2018, describe the evolution of the observed structure, and identify the role of individual airports in it. We further use this analysis to illustrate the limitations and challenges associated to this approach, and to sketch a roadmap of future research in this evolving topic.

Low Cost Carriers Induce Specific and Identifiable Delay Propagation Patterns: An Analysis of the EU and US Systems

“…These propagation instances are the result of the high level of optimisation of the system, and of the limited resources available to airlines, airports, and air traffic managers. Not surprising, the appearance of delays and their propagation has been studied using a plethora of complementary approaches, from the analysis of the local dynamics of individual flights and airports [4]- [6]; the use of large-scale synthetic models [6]- [10]; to functional network representations inspired by statistical physics and neuroscience [11]- [15].…”