Investigating strategies of the european air transport network after covid-19: A complex network theory analysis

Title Investigating strategies of the european air transport network after covid-19: A complex network theory analysis
Author Aldemir, Huseyin Onder, Ersoz, Cem
Publication Date: 2024-01-01
Publication Place - IEEE
Subject Air transport, Strategic management, Complex network theory, European airport network
Type Document
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 978-80-01-07181-6
Record ID 444b9abe-93a8-4e8e-8f92-47ffb92d9245
Library Location Aviation Management
Date 2024-01-01
Sample Text This study explores the new strategic planning of the airports in Europe after COVID-19 based on number of connections and passenger seat capacity. Complex network theory was applied to reveal the European airport network using the Official Airline Guide dataset between September 2021 and August 2022. This study aims to identify changes in the strategy of airports operating in Europe and variations in European hubs for passenger transport based on supply (seat capacity) in the year following the COVID-19 pandemic. 693 airports (nodes) and 10 333 routes (edges) were examined in 44 European countries. Centrality metrics have highlighted different airports as pivots. While London Stansted Airport came to the forefront with the highest degree centrality, Amsterdam Schiphol Airport emerged as leader by connecting to highly influential airports with the best eigenvector and strength centrality metrics. Betweenness centrality also demonstrated that Istanbul Airport served as a critical connector, facilitating efficient routes between other airports. Connectivity, efficiency, and organizational patterns were also examined to provide a comprehensive overview of the European airport network. Average degree, clustering coefficient, average path length, diameter, reciprocity, and assortativity were calculated in the scope of connectivity. Each airport in the network is connected to around 29 others. The average path length was calculated as 2.66 to demonstrate how many average flights are needed to travel from one airport to any other in the network.
DOI 10.23919/NTCA60572.2024.10517819
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Investigating strategies of the european air transport network after covid-19: A complex network theory analysis

Author Aldemir, Huseyin Onder, Ersoz, Cem
Publication Date 2024-01-01
Publication Place - IEEE
Subject Air transport, Strategic management, Complex network theory, European airport network
Type Document
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 978-80-01-07181-6
Record ID 444b9abe-93a8-4e8e-8f92-47ffb92d9245
Library Location Aviation Management
Date 2024-01-01
Sample Text This study explores the new strategic planning of the airports in Europe after COVID-19 based on number of connections and passenger seat capacity. Complex network theory was applied to reveal the European airport network using the Official Airline Guide dataset between September 2021 and August 2022. This study aims to identify changes in the strategy of airports operating in Europe and variations in European hubs for passenger transport based on supply (seat capacity) in the year following the COVID-19 pandemic. 693 airports (nodes) and 10 333 routes (edges) were examined in 44 European countries. Centrality metrics have highlighted different airports as pivots. While London Stansted Airport came to the forefront with the highest degree centrality, Amsterdam Schiphol Airport emerged as leader by connecting to highly influential airports with the best eigenvector and strength centrality metrics. Betweenness centrality also demonstrated that Istanbul Airport served as a critical connector, facilitating efficient routes between other airports. Connectivity, efficiency, and organizational patterns were also examined to provide a comprehensive overview of the European airport network. Average degree, clustering coefficient, average path length, diameter, reciprocity, and assortativity were calculated in the scope of connectivity. Each airport in the network is connected to around 29 others. The average path length was calculated as 2.66 to demonstrate how many average flights are needed to travel from one airport to any other in the network.
DOI 10.23919/NTCA60572.2024.10517819
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