Scenarios for a post-COVID-19 world airline network
Jiachen Ye, Peng Ji, Marc Barthelemy

TL;DR
This paper analyzes the resilience of the global airline network post-COVID-19, introducing a new airline company network model and exploring how demand reductions impact airline connectivity and traffic, revealing vulnerabilities in the industry’s structure.
Contribution
It introduces the airline company network model to assess failure impacts and analyzes how demand reductions affect airline traffic and network robustness under various scenarios.
Findings
Failure of highly connected companies significantly impacts network connectivity.
Local demand can be much lower than average demand for non-monopolistic airlines.
A substantial portion of airlines could lose over 50% of traffic even with partial demand recovery.
Abstract
The airline industry was severely hit by the COVID-19 crisis with an average demand decrease of about (IATA, April 2020) which triggered already several bankruptcies of airline companies all over the world. While the robustness of the world airline network (WAN) was mostly studied as an homogeneous network, we introduce a new tool for analyzing the impact of a company failure: the `airline company network' where two airlines are connected if they share at least one route segment. Using this tool, we observe that the failure of companies well connected with others has the largest impact on the connectivity of the WAN. We then explore how the global demand reduction affects airlines differently, and provide an analysis of different scenarios if its stays low and does not come back to its pre-crisis level. Using traffic data from the Official Aviation Guide (OAG) and simple…
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