The airline industry was severely hit by the COVID-19 crisis with an average demand decrease of about 64 % (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 a 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 it stays low and does not come back to its pre-crisis level. Using traffic data from the Official Aviation Guide and simple assumptions about customer’s airline choice strategies, we find that the local effective demand can be much lower than the average one, especially for companies that are not monopolistic and share their segments with larger companies. Even if the average demand comes back to 60 % of the total capacity, we find that between 46 % and 59 % of the companies could experience a reduction of more than 50 % of their traffic, depending on the type of competitive advantage that drives customer’s airline choice. These results highlight how the complex competitive structure of the WAN weakens its robustness when facing such a large crisis.
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April 2023
Research Article|
April 25 2023
Scenarios for a post-COVID-19 world airline network
Special Collection:
Disruption of Networks and System Dynamics
Jiachen Ye;
Jiachen Ye
(Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Visualization, Writing – original draft, Writing – review & editing)
1
Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University
, Shanghai 200433, People’s Republic of China
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Peng Ji
;
Peng Ji
a)
(Conceptualization, Data curation, Investigation)
1
Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University
, Shanghai 200433, People’s Republic of China
2
Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education
, Shanghai 200433, People’s Republic of China
3
MOE Frontiers Center for Brain Science, Fudan University
, Shanghai 200433, People’s Republic of China
a)Author to whom correspondence should be addressed: pengji@fudan.edu.cn
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Marc Barthelemy
Marc Barthelemy
b)
(Conceptualization, Formal analysis, Investigation)
4
Institut de Physique Théorique, Université Paris Saclay, CEA, CNRS
, F-91191 Gif-sur-Yvette, France
5
Centre d’Analyse et de Mathématique Sociales, (CNRS/EHESS), 54
, Boulevard Raspail, 75006 Paris, France
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a)Author to whom correspondence should be addressed: pengji@fudan.edu.cn
b)
Electronic mail: marc.barthelemy@ipht.fr
Note: This paper is part of the Focus Issue on Disruption of Networks and System Dynamics.
Chaos 33, 043140 (2023)
Article history
Received:
February 14 2023
Accepted:
April 04 2023
Citation
Jiachen Ye, Peng Ji, Marc Barthelemy; Scenarios for a post-COVID-19 world airline network. Chaos 1 April 2023; 33 (4): 043140. https://doi.org/10.1063/5.0146575
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