Analysis of Turkey’s airport network structure and centrality in the opening-out period after the first wave of COVID-19: A complex network approach | Kütüphane.osmanlica.com

Analysis of Turkey’s airport network structure and centrality in the opening-out period after the first wave of COVID-19: A complex network approach

İsim Analysis of Turkey’s airport network structure and centrality in the opening-out period after the first wave of COVID-19: A complex network approach
Yazar Ersöz, Cem, Kılıç, Sena, Aldemir, Hüseyin Önder
Basım Tarihi: 2022-12
Basım Yeri - Elsevier
Konu Turkey’s airport network, Complex network analysis
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane: Özyeğin Üniversitesi
Demirbaş Numarası 2213-624X
Kayıt Numarası 678aee4e-841f-415f-ad4f-0471e179bf08
Lokasyon Aviation Management
Tarih 2022-12
Örnek Metin There are a few studies present analyzing air transport structures of the countries, regions, and the world by using complex network theory. Although Turkey has a complex air network with 56 airports, thorough research has not been carried out applying complex network analysis to reveal the structure of the airport network in Turkey yet. Furthermore, the fact that Turkey is a developing economy and the role of air transport in this development is undeniable, and its use as a transit area due to its geopolitical location, together with social and political factors, makes it important to understand this air transport network in detail. Consequently, in this paper, Turkey's Airport Network (TAN) topology was explored by implementing concepts of complex network theory using domestic and international passenger flight data gathered from FlightRadar during the opening period after the first wave of Covid-19. The average path length and clustering coefficient for connectivity performance and centrality metrics (degree, betweenness, and closeness) were computed and the network correlations were also measured and compared with simulated random, small-world (SW), and scale-free (SF) network models. Also, structural similarities and differences with the air networks of other countries are revealed.
DOI 10.1016/j.cstp.2022.11.013
Cilt 10
Kaynağa git Özyeğin Üniversitesi Özyeğin Üniversitesi
Özyeğin Üniversitesi Özyeğin Üniversitesi
Kaynağa git

Analysis of Turkey’s airport network structure and centrality in the opening-out period after the first wave of COVID-19: A complex network approach

Yazar Ersöz, Cem, Kılıç, Sena, Aldemir, Hüseyin Önder
Basım Tarihi 2022-12
Basım Yeri - Elsevier
Konu Turkey’s airport network, Complex network analysis
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane Özyeğin Üniversitesi
Demirbaş Numarası 2213-624X
Kayıt Numarası 678aee4e-841f-415f-ad4f-0471e179bf08
Lokasyon Aviation Management
Tarih 2022-12
Örnek Metin There are a few studies present analyzing air transport structures of the countries, regions, and the world by using complex network theory. Although Turkey has a complex air network with 56 airports, thorough research has not been carried out applying complex network analysis to reveal the structure of the airport network in Turkey yet. Furthermore, the fact that Turkey is a developing economy and the role of air transport in this development is undeniable, and its use as a transit area due to its geopolitical location, together with social and political factors, makes it important to understand this air transport network in detail. Consequently, in this paper, Turkey's Airport Network (TAN) topology was explored by implementing concepts of complex network theory using domestic and international passenger flight data gathered from FlightRadar during the opening period after the first wave of Covid-19. The average path length and clustering coefficient for connectivity performance and centrality metrics (degree, betweenness, and closeness) were computed and the network correlations were also measured and compared with simulated random, small-world (SW), and scale-free (SF) network models. Also, structural similarities and differences with the air networks of other countries are revealed.
DOI 10.1016/j.cstp.2022.11.013
Cilt 10
Özyeğin Üniversitesi
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