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Modeling the Change of the Turkish Air Transport Network (THUA): Dynamic Spatial - Complex Network Approach

Year 2023, Volume: 32 Issue: 1, 173 - 193, 30.06.2023
https://doi.org/10.51800/ecd.1300455

Abstract

The aviation industry is a capital-intensive industry with high-quality social capital and high technology. For this reason, it is of strategic importance for both national and regional economies. Air transport networks are able to attract domestic and foreign investments to the regions by the settlement of the complementary sectors of the aviation industry, as well as the passengers, cargo, and information they circulate. The Turkish Air Transport Network (THUA) has a history of almost a century started in 1930 and continues to grow today with the world's largest airport and a global flag carrier. In this context, this article models the change of THUA for each year in the 2012-2017 period using spatial-complex network analysis, estimates the effects of socio-economic and network criterion-based dynamics on the probability of a new connection between airports in THUA using machine learning models and reveals important results. Although the THUA is a sparse network, it tends to be concentrated. New ties are not formed randomly between nodes, on the contrary, they are formed between certain airports. Income and population, as well as degree centrality and clustering coefficient, increase the likelihood of a new link between airport pairs.

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Türkiye Hava Ulaşım Ağı’nın (THUA) Değişiminin Modellenmesi: Dinamik Mekânsal - Karmaşık Ağ Yaklaşımı

Year 2023, Volume: 32 Issue: 1, 173 - 193, 30.06.2023
https://doi.org/10.51800/ecd.1300455

Abstract

Havacılık sektörü yüksek ve kaliteli sosyal sermaye ve yüksek teknoloji içeren sermaye yoğun bir sektördür. Bu nedenle hem ülke ekonomileri hem de bölge ekonomileri için stratejik önem arz etmektedir. Hava taşımacılığı ağları dolaşımını sağladıkları yolcu, yük ve bilginin yanı sıra havacılık sektörünün tamamlayıcısı sektörlerin bölgelerde yerleşmesiyle yerli ve yabancı yatırımları da bölgelere çekebilmektedirler. Türk Hava Ulaşım Ağı (THUA), 1930'da başlayan neredeyse bir asırlık bir geçmişe sahiptir ve bugün dünyanın en büyük havalimanı ve küresel bir bayrak taşıyıcısı ile büyümeye devam etmektedir. Bu bağlamda, bu makale THUA’nın 2012-2017 periyodunda her yıl için mekânsal-karmaşık ağ analizlerini kullanarak değişimini modellemekte, makine öğrenmesi modelleri kullanarak THUA’da havalimanları arasında yeni bir bağın oluşum olasılığına sosyo-ekonomik ve ağ ölçütü tabanlı dinamiklerin etkilerini tahmin etmekte ve önemli sonuçlar ortaya koymaktadır. THUA her ne kadar seyrek bir ağsa da yoğunlaşma eğilimindedir. Yeni bağlar düğümler arasında rastlantısal olarak oluşmamakta aksine belirli havalimanları arasında oluşmaktadır. Gelir ve nüfus ve ayrıca derece merkeziliği ve kümelenme katsayısı havalimanı çiftleri arasında yeni bir bağın oluşma olasılığını arttırmaktadır.

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  • Guillaumet, M. P. (2018). A complex network approach to the Argentinian Airport Network.
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  • Hossain, M. M., & Alam, S. (2017). A complex network approach towards modeling and analysis of the Australian Airport Network. Journal of Air Transport Management, 60, 1-9.
  • IATA. (2018). Air Passenger Forecasts Country Report, available at https://www.iata.org/publications/Documents/country-report-sample.pdf
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  • Jiang, B., (2007) “A topological pattern of urban street networks: universality and peculiarity”, Physica A, 384, pp.647–655.
  • Jiang, B., & Claramunt, C., (2004) “Topological analysis of urban street networks”, Enviornment and Planning B, 31, pp.151–162.
  • Kasarda, J. D., & Green, J. D. (2005). Air cargo as an economic development engine: A note on opportunities and constraints. Journal of Air-transport Management, 11(6), 459-462.
  • Köroğlu, B. A., & Eceral, T. Ö. (2017). Redefining space in production networks: Network centrality and R&D activities in Ankara defence and aviation cluster. Gazi University Journal of Science, 30(2), 17-33.
  • Köroğlu, N. T., & Köroğlu, B. A. (2014). Çekim Modeli ve Ağ Analizinin Bölgesel Eşitsizlikleri Açıklama Kapasitesi. Ulusal Bölge Bilimi ve Planlama Kongresi Bölge Bilimi Türk Milli Komitesi, 18-19.
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  • Orkcu, H. H., Balıkcı, C., Dogan, M. I., & Genc, A. (2016). An evaluation of the operational efficiency of Turkish airports using data envelopment analysis and the Malmquist productivity index: 2009–2014 case. Transport Policy, 48, 92-104.
  • Paez, A., Scott, D. M., Morency, C., (2012) “Measuring accessibility: positive and normative implementations of various accessibility indicators”, Journal of Transport Geography, 25, pp.141–153.
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There are 79 citations in total.

Details

Primary Language Turkish
Subjects Human Geography
Journal Section Research Articles
Authors

Umut Erdem 0000-0001-9822-3605

Publication Date June 30, 2023
Submission Date May 22, 2023
Acceptance Date June 27, 2023
Published in Issue Year 2023 Volume: 32 Issue: 1

Cite

APA Erdem, U. (2023). Türkiye Hava Ulaşım Ağı’nın (THUA) Değişiminin Modellenmesi: Dinamik Mekânsal - Karmaşık Ağ Yaklaşımı. Ege Coğrafya Dergisi, 32(1), 173-193. https://doi.org/10.51800/ecd.1300455