Araştırma Makalesi
BibTex RIS Kaynak Göster

The Impact of Geodemographic Factors on Airport Traffic in Türkiye: An Aviation Analysis

Yıl 2025, Cilt: 9 Sayı: 1, 91 - 99, 26.02.2025

Mustafa Ergün

https://doi.org/10.30518/jav.1575091

Öz

This study examines the relationship between passenger volumes at Turkish airports and the demographic and geodemographic characteristics of the provinces in which they are located. By analyzing data on passenger traffic, cargo traffic, and aircraft movements, the research highlights how population size, economic activity, and tourism shape airport traffic patterns. The findings indicate that tourist-heavy regions, such as Antalya and Muğla, experience significant seasonal spikes driven by summer tourism, while industrial hubs like Istanbul and Izmir exhibit consistent cargo traffic linked to economic activity. Larger, economically active cities tend to have higher levels of aircraft movements, reflecting the dual impact of business and population density. These results emphasize the need for tailored airport planning strategies, including enhanced infrastructure in tourist regions and improved logistics capabilities in economic centers. The study underscores the importance of incorporating geodemographic factors into aviation planning to promote regional connectivity and support economic growth.

Anahtar Kelimeler

Airport Traffic Patterns Geodemographic Factors Seasonal Traffic Fluctuations Passenger and Cargo Traffic Air Travel Demand

Kaynakça

  • Albayrak, M. B. K., Özcan, İ. Ç., Can, R., & Dobruszkes, F. (2020). The determinants of air passenger traffic at Turkish airports. Journal of Air Transport Management, 86, 101818.
  • Baltaci, N., Sekmen, O., & Akbulut, G. (2015). The relationship between air transport and economic growth in Türkiye: Cross-regional panel data analysis approach. Journal of Economics and Behavioral Studies, 7(1 (J)), 89-100.
  • Budd, T., Intini, M., & Volta, N. (2020). Environmentally sustainable air transport: A focus on airline productivity. Sustainable aviation: Greening the flight path, 55-77.
  • Calisir, N., Basak, E., & Calisir, F. (2016). Key drivers of passenger loyalty: A case of Frankfurt–Istanbul flights. Journal of Air Transport Management, 53, 211-217.
  • Cecen, A. A., Doğruel, A. S., & Doğruel, F. (1994). Economic growth and structural change in Türkiye 1960–88. International Journal of Middle East Studies, 26(1), 37-56.
  • Doğan, O., Ayçin, E., & Bulut, Z. (2018). Customer segmentation by using RFM model and clustering methods: a case study in retail industry. International Journal of Contemporary Economics and Administrative Sciences, 8.
  • Dziedzic, M., Njoya, E. T., Warnock-Smith, D., & Hubbard, N. (2020). Determinants of air traffic volumes and structure at small European airports. Research in Transportation Economics, 79, 100749.
  • Enzler, H. B. (2017). Air travel for private purposes. An analysis of airport access, income and environmental concern in Switzerland. Journal of Transport Geography, 61, 1-8.
  • Erdem, U., Mert Cubukcu, K., & Tsiotas, D. (2020). Mapping the topology of the air transport network in Türkiye. Environment and Planning A: Economy and Space, 52(1), 6-9.
  • Ferhatosmanoglu, N., & Macit, B. (2016). Incorporating Explanatory Effects of Neighbour Airports in Forecasting Models for Airline Passenger Volumes. In ICORES (pp. 178-185).
  • Fu, X., Oum, T. H., & Zhang, A. (2010). Air transport liberalization and its impacts on airline competition and air passenger traffic. Transportation Journal, 49(4), 24-41.
  • Grančay, M. (2010). The economic impacts of air transport liberalization. Zagreb International Review of Economics & Business, 13(2), 73-88.
  • Gunter, U., & Zekan, B. (2021). Forecasting air passenger numbers with a GVAR model. Annals of Tourism Research, 89, 103252.
  • Güreş, N., Demirer, H., & Kara, M. (2009). European Passengers Satisfaction and Fairness Perceptions About Turkish Airports. International Business & Economics Research Journal (IBER), 8(10).
  • https://www.dhmi.gov.tr/
  • https://www.iata.org/
  • https://www.tuik.gov.tr/
  • Kesgin, U. (2006). Aircraft emissions at Turkish airports. Energy, 31(2-3), 372-384.
  • Kim, N., & Yoon, Y. (2021). Regionalization for urban air mobility application with analyses of 3D urban space and geodemography in San Francisco and New York. Procedia Computer Science, 184, 388-395.
  • Koçak, B. B. (2022). Improving Consumer Engagement with Airline Brands: A Case of SKYTRAX 100’s YouTube Pages. Journal of Internet Applications and Management, 13(1), 1-19.
  • Koçak, B. B. (2023). Comparison of Artificial Intelligence Techniques for The UK Air Passenger Short-Term Demand Forecasting: A Destination Insight Study. Journal of Aviation, 7(3), 415-424.
  • Koçak, C. B., Atalık, Ö., & Koçak, B. B. (2024). The effect of figurative language on consumer engagement: case of Turkish airline Instagram pages. Journal of Marketing and Marketing Research, 17(1), 1-38.
  • Koçak, H. (2011). Efficiency examination of Turkish airports with DEA approach. International Business Research, 4(2), 204.
  • Leung, A., Yen, B. T., & Lohmann, G. (2017). Why passengers’ geo-demographic characteristics matter to airport marketing. Journal of Travel & Tourism Marketing, 34(6), 833-850.
  • Nalçacıgil, E., & Kaçar, B. (2022). A Comprehensive Literature Search on Crises Affecting the Aviation Industry. Journal of Aviation, 6(2), 235-240.
  • Paköz, M. Z., & Sakarya, A. (2021). Evaluating changes in spatial accessibility to airports in Türkiye between 2000 and 2018. Transportation Research Record, 2675(10), 425-439.
  • Riwo-Abudho, M., Njanja, L. W., & Ochieng, I. (2013). Key success factors in airlines: Overcoming the challenges.
  • Ryley, T. (2017). Charting the aviation industry in a time of change. Journal of Transport Geography, 58, 286-287.
  • Sivadas, E. (1997). A preliminary examination of the continuing significance of social class to marketing: a geodemographic replication. Journal of Consumer Marketing, 14(6), 463-479.
  • Sun, M., Tian, Y., Zhang, Y., Nadeem, M., & Xu, C. (2021). Environmental impact and external costs associated with hub-and-spoke network in air transport. Sustainability, 13(2), 465.
  • Taaffe, E. J. (1956). Air transportation and United States urban distribution. Geographical Review, 46(2), 219-238.
  • Yadav, D. K., & Goriet, M. O. (2022). An illustrative evaluation of external factors that affect performance of an airline. Journal of Aerospace Technology and Management, 14, e1122.
  • Yaylali, M., Çelik, A. K., & Dilek, Ö. (2016). Analyzing key socio-economic and socio-demographic drivers of domestic passengers’ airline choice behavior in Turkey using multinomial and mixed logit models. Transportation Letters, 8(3), 121-130.

Yıl 2025, Cilt: 9 Sayı: 1, 91 - 99, 26.02.2025

Mustafa Ergün

https://doi.org/10.30518/jav.1575091

Öz

Kaynakça

  • Albayrak, M. B. K., Özcan, İ. Ç., Can, R., & Dobruszkes, F. (2020). The determinants of air passenger traffic at Turkish airports. Journal of Air Transport Management, 86, 101818.
  • Baltaci, N., Sekmen, O., & Akbulut, G. (2015). The relationship between air transport and economic growth in Türkiye: Cross-regional panel data analysis approach. Journal of Economics and Behavioral Studies, 7(1 (J)), 89-100.
  • Budd, T., Intini, M., & Volta, N. (2020). Environmentally sustainable air transport: A focus on airline productivity. Sustainable aviation: Greening the flight path, 55-77.
  • Calisir, N., Basak, E., & Calisir, F. (2016). Key drivers of passenger loyalty: A case of Frankfurt–Istanbul flights. Journal of Air Transport Management, 53, 211-217.
  • Cecen, A. A., Doğruel, A. S., & Doğruel, F. (1994). Economic growth and structural change in Türkiye 1960–88. International Journal of Middle East Studies, 26(1), 37-56.
  • Doğan, O., Ayçin, E., & Bulut, Z. (2018). Customer segmentation by using RFM model and clustering methods: a case study in retail industry. International Journal of Contemporary Economics and Administrative Sciences, 8.
  • Dziedzic, M., Njoya, E. T., Warnock-Smith, D., & Hubbard, N. (2020). Determinants of air traffic volumes and structure at small European airports. Research in Transportation Economics, 79, 100749.
  • Enzler, H. B. (2017). Air travel for private purposes. An analysis of airport access, income and environmental concern in Switzerland. Journal of Transport Geography, 61, 1-8.
  • Erdem, U., Mert Cubukcu, K., & Tsiotas, D. (2020). Mapping the topology of the air transport network in Türkiye. Environment and Planning A: Economy and Space, 52(1), 6-9.
  • Ferhatosmanoglu, N., & Macit, B. (2016). Incorporating Explanatory Effects of Neighbour Airports in Forecasting Models for Airline Passenger Volumes. In ICORES (pp. 178-185).
  • Fu, X., Oum, T. H., & Zhang, A. (2010). Air transport liberalization and its impacts on airline competition and air passenger traffic. Transportation Journal, 49(4), 24-41.
  • Grančay, M. (2010). The economic impacts of air transport liberalization. Zagreb International Review of Economics & Business, 13(2), 73-88.
  • Gunter, U., & Zekan, B. (2021). Forecasting air passenger numbers with a GVAR model. Annals of Tourism Research, 89, 103252.
  • Güreş, N., Demirer, H., & Kara, M. (2009). European Passengers Satisfaction and Fairness Perceptions About Turkish Airports. International Business & Economics Research Journal (IBER), 8(10).
  • https://www.dhmi.gov.tr/
  • https://www.iata.org/
  • https://www.tuik.gov.tr/
  • Kesgin, U. (2006). Aircraft emissions at Turkish airports. Energy, 31(2-3), 372-384.
  • Kim, N., & Yoon, Y. (2021). Regionalization for urban air mobility application with analyses of 3D urban space and geodemography in San Francisco and New York. Procedia Computer Science, 184, 388-395.
  • Koçak, B. B. (2022). Improving Consumer Engagement with Airline Brands: A Case of SKYTRAX 100’s YouTube Pages. Journal of Internet Applications and Management, 13(1), 1-19.
  • Koçak, B. B. (2023). Comparison of Artificial Intelligence Techniques for The UK Air Passenger Short-Term Demand Forecasting: A Destination Insight Study. Journal of Aviation, 7(3), 415-424.
  • Koçak, C. B., Atalık, Ö., & Koçak, B. B. (2024). The effect of figurative language on consumer engagement: case of Turkish airline Instagram pages. Journal of Marketing and Marketing Research, 17(1), 1-38.
  • Koçak, H. (2011). Efficiency examination of Turkish airports with DEA approach. International Business Research, 4(2), 204.
  • Leung, A., Yen, B. T., & Lohmann, G. (2017). Why passengers’ geo-demographic characteristics matter to airport marketing. Journal of Travel & Tourism Marketing, 34(6), 833-850.
  • Nalçacıgil, E., & Kaçar, B. (2022). A Comprehensive Literature Search on Crises Affecting the Aviation Industry. Journal of Aviation, 6(2), 235-240.
  • Paköz, M. Z., & Sakarya, A. (2021). Evaluating changes in spatial accessibility to airports in Türkiye between 2000 and 2018. Transportation Research Record, 2675(10), 425-439.
  • Riwo-Abudho, M., Njanja, L. W., & Ochieng, I. (2013). Key success factors in airlines: Overcoming the challenges.
  • Ryley, T. (2017). Charting the aviation industry in a time of change. Journal of Transport Geography, 58, 286-287.
  • Sivadas, E. (1997). A preliminary examination of the continuing significance of social class to marketing: a geodemographic replication. Journal of Consumer Marketing, 14(6), 463-479.
  • Sun, M., Tian, Y., Zhang, Y., Nadeem, M., & Xu, C. (2021). Environmental impact and external costs associated with hub-and-spoke network in air transport. Sustainability, 13(2), 465.
  • Taaffe, E. J. (1956). Air transportation and United States urban distribution. Geographical Review, 46(2), 219-238.
  • Yadav, D. K., & Goriet, M. O. (2022). An illustrative evaluation of external factors that affect performance of an airline. Journal of Aerospace Technology and Management, 14, e1122.
  • Yaylali, M., Çelik, A. K., & Dilek, Ö. (2016). Analyzing key socio-economic and socio-demographic drivers of domestic passengers’ airline choice behavior in Turkey using multinomial and mixed logit models. Transportation Letters, 8(3), 121-130.
Toplam 33 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İşletme
Bölüm Araştırma Makaleleri
Yazarlar

Mustafa Ergün 0000-0003-1675-0802

Erken Görünüm Tarihi 24 Şubat 2025
Yayımlanma Tarihi 26 Şubat 2025
Gönderilme Tarihi 28 Ekim 2024
Kabul Tarihi 25 Kasım 2024
Yayımlandığı Sayı Yıl 2025 Cilt: 9 Sayı: 1

Kaynak Göster

APA Ergün, M. (2025). The Impact of Geodemographic Factors on Airport Traffic in Türkiye: An Aviation Analysis. Journal of Aviation, 9(1), 91-99. https://doi.org/10.30518/jav.1575091
 Kapak Resmi İndir

Journal of Aviation - JAV 

www.javsci.com - editor@javsci.com


9210This journal is licenced under a Creative Commons Attiribution-NonCommerical 4.0 İnternational Licence