Strategic conflicts in the aviation industry: Evolution and impact analysis using Graph Model with application to airspace conflict between European Countries and Russia

In this paper, a general framework of analyzing strategic conflicts in aviation industry is proposed based on Graph Model for Conflict Resolution (GMCR). The ongoing conflict regarding the mutual closure of airspace between Russia and the European countries (EUC) and the nationalization of leased aircrafts by Russia are investigated using GMCR for the first time. Outcomes at five possible scenarios are analyzed by calculating the equilibria in which decision makers (DM) behave with different preferences, or with new choice of actions. The evolution analysis is further carried out at each scenario to demonstrate how the conflict could evolve from the starting state to the calculated equilibria. Amidst the ongoing military conflict, it can be suggested whether the conflicts regarding the airspace closure and the nationalization of aircraft can be solved at various scenarios and under what conditions, through convenient modeling and rigorous computation. The calculation result indicates that negotiation could help solve the conflict, while sanctions along could not force Russia to reopen its airspace. This research can provide an enhanced understanding of the conflict regarding airspace sanctions between Russia and the EUC and the guidance of actions for concerned decision makers.

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Publication Details

Journal
Transport Economics and Management
Published
2025-05-01
DOI
https://doi.org/10.1016/j.team.2025.04.003
Citations
4
Primary Topic
Aviation Industry Analysis and Trends
Type
article
Field-Weighted Citation Impact
12.34

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article

Strategic conflicts in the aviation industry: Evolution and impact analysis using Graph Model with application to airspace conflict between European Countries and Russia

Changmin Jiang, Shawei He
4 citations
Transport Economics and Management
Aviation Industry Analysis and Trends
12.34
article

Strategic conflicts in the aviation industry: Evolution and impact analysis using Graph Model with application to airspace conflict between European Countries and Russia

Changmin Jiang, Shawei He
article en
4 citations

Abstract

In this paper, a general framework of analyzing strategic conflicts in aviation industry is proposed based on Graph Model for Conflict Resolution (GMCR). The ongoing conflict regarding the mutual closure of airspace between Russia and the European countries (EUC) and the nationalization of leased aircrafts by Russia are investigated using GMCR for the first time. Outcomes at five possible scenarios are analyzed by calculating the equilibria in which decision makers (DM) behave with different preferences, or with new choice of actions. The evolution analysis is further carried out at each scenario to demonstrate how the conflict could evolve from the starting state to the calculated equilibria. Amidst the ongoing military conflict, it can be suggested whether the conflicts regarding the airspace closure and the nationalization of aircraft can be solved at various scenarios and under what conditions, through convenient modeling and rigorous computation. The calculation result indicates that negotiation could help solve the conflict, while sanctions along could not force Russia to reopen its airspace. This research can provide an enhanced understanding of the conflict regarding airspace sanctions between Russia and the EUC and the guidance of actions for concerned decision makers.

Transport Economics and ManagementVol. 3
Hong Kong Polytechnic University (HK), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality
Openalex Percentile: Top 2%
Aviation Industry Analysis and Trends
12.34
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Strategic conflicts in the aviation industry: Evolution and impact analysis using Graph Model with application to airspace conflict between European Countries and Russia — Changmin Jiang, Shawei He · Transport Economics and Management (2025) | TGRS Research Map | TGRS