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The Effect of COVID-19 Pandemic on the Frequency of Domestic Flights

Yıl 2021, Cilt: 12 Sayı: 34, 1310 - 1333, 31.12.2021

Ertan Çınar , Metin Özgür

https://doi.org/10.31198/idealkent.949748

Öz

The objective of this study is to reveal with different variables the relationship between the frequency of domestic flights of airline passengers in Turkey and the number of daily patients, which is a COVID-19 pandemic data. The data collection tool used in the study is a questionnaire. A correlation test was used in the analysis of the relationship between the annual flight frequency before and after the pandemic (Considering the pandemic is over). Hypotheses on the changes in flight frequency were developed with the demographic data, and these hypotheses were tested by one-way ANOVA method. SPSS 22 program was used to analyze the data. 229 people participated in the survey, and among them 202 eligible people were included in the study. The results of the correlation test were determined to be significant. It is revealed that there is a relationship between the declared number of patients and the flight frequency. As the declared number of patients increases, the flight frequency decreases. A decrease by a maximum of 82% is predicted in the average annual flight frequency per person if the patient number is estimated to be over 3000. All of the socio-demographic variables studied, except the level of education, affect flight frequency.

Anahtar Kelimeler

Air transportation questionary covid-19 flight frequency passenger

Kaynakça

  • Adrienne, N., Budd, L., & Ison, S. (2020). Grounded aircraft: An airfield operations perspective of the challenges of resuming flights post Covid. Journal of Air Transport Management, 89, 101921. https://doi.org/10.1016/j.jairtraman.2020.101921
  • Air traffic will take years to return to 2019 levels. (2020, July 8). Retrieved September 25, 2021, from https://dailybrief.oxan.com/Analysis/DB253776/Air-traffic-will-take-years-to-return-to-2019-levels
  • Altınay Özdemir, M. (2020). How covid-19 outbreak affects tourists’ travel intentions? A case study in Turkey. Social Mentality And Researcher Thinkers Journal, 6(32), 1101–1113. https://doi.org/10.31576/smryj.562
  • Büyüköztürk, Ş. (2018). Sosyal bilimler için veri analizi el kitabı (28th ed.). Ankara, Turkey: Pegem Akademi Yayınları.
  • Coronavirus disease (COVID-19). (2020, Dec). Retrieved June 27, 2021, from https://www.who.int/emergencies/diseases/novel-coronavirus-2019
  • Di Renzo, L., Gualtieri, P., Pivari, F., Soldati, L., Attinà, A., Cinelli, G., De Lorenzo, A. (2020). Eating habits and lifestyle changes during Covid-19 lockdown: An Italian survey. Journal of Translational Medicine, 18(1). https://doi.org/10.1186/s12967-020-02399-5
  • Gallego, I., & Font, X. (2020). Changes in air passenger demand as a result of the Covid-19 crisis: Using big data to inform tourism policy. Journal of Sustainable Tourism, 29(9), 1470–1489. https://doi.org/10.1080/09669582.2020.1773476
  • Gerede, E. (2015). Havayolu taşımacılığı ve ekonomik düzenlemeler teori ve Türkiye uygulaması [Pdf] (1st ed., Vol. 1). Retrieved from http://web.shgm.gov.tr/documents/sivilhavacilik/files/pdf/kurumsal/yayinlar/SHGM_Havayolu_Tasimaciligi_Kitabi.pdf
  • Gudmundsson, S., Cattaneo, M., & Redondi, R. (2021b). Forecasting temporal world recovery in air transport markets in the presence of large economic shocks: The case of Covid-19. Journal of Air Transport Management, 91, 102007. https://doi.org/10.1016/j.jairtraman.2020.102007
  • ICAO. (2020, May 15). icao.int. Retrieved October 15, 2020, from https://www.icao.int/sustainability/Documents/COVID-19/ICAO_Coronavirus_Econ_Impact.pdf
  • İstatistikler. (2020, Nov.). Retrieved November 10, 2020, from https://www.dhmi.gov.tr/Sayfalar/Istatistikler.aspx
  • Lamb, T. L., Winter, S. R., Rice, S., Ruskin, K. J., & Vaughn, A. (2020). Factors that predict passengers willingness to fly during and after the Covid-19 pandemic. Journal of Air Transport Management, 89, 101897. https://doi.org/10.1016/j.jairtraman.2020.101897
  • Lin, Y. H., & Zhang, C. (2021). Investigating air travellers’ travel motivation during a pandemic crisis. Journal of Air Transport Management, 97, 102138. https://doi.org/10.1016/j.jairtraman.2021.102138
  • Rockland, D. B. (2020). Air traveler response to Covid 19 An 11 country survey: Wave III. Retrieved October 15, 2020, from https://www.iata.org/contentassets/5f8235a4ef364ec886ad2594531c04d0/covid-19-survey-press-briefing-presentation-.pdf
  • Suau-Sanchez, P., Voltes-Dorta, A., & Cugueró-Escofet, N. (2020). An early assessment of the impact of Covid-19 on air transport: Just another crisis or the end of aviation as we know it? Journal of Transport Geography, 86, 102749. https://doi.org/10.1016/j.jtrangeo.2020.102749
  • Sun, X., Wandelt, S., & Zhang, A. (2020). How did Covid-19 impact air transportation? A first peek through the lens of complex networks. Journal of Air Transport Management, 89, 101928. https://doi.org/10.1016/j.jairtraman.2020.101928
  • Sun, X., Wandelt, S., Zheng, C., & Zhang, A. (2021). Covid-19 pandemic and air transportation: Successfully navigating the paper hurricane. Journal of Air Transport Management, 94, 102062. https://doi.org/10.1016/j.jairtraman.2021.102062
  • Ye, J. (2020, July 4). Scenarios for a post-Covid-19 world airline network. Retrieved September 21, 2021, from https://arxiv.org/abs/2007.02109

Covid-19 Pandemisinin İç Hatlardaki Uçuş Sıklığına Etkisi

Yıl 2021, Cilt: 12 Sayı: 34, 1310 - 1333, 31.12.2021

Ertan Çınar , Metin Özgür

https://doi.org/10.31198/idealkent.949748

Öz

Bu çalışmanın amacı yolcuların görüşlerine dayalı olarak Türkiye’deki hava yolu yolcularının yurt içinde (iç hatlar) gerçekleştirecekleri uçuş sıklıklarının COVID-19 pandemi verilerinden olan günlük hasta sayıları ile olan ilişkisini çeşitli değişkenlerle birlikte ortaya çıkarmaktır. Araştırmada kullanılan veri toplama aracı ankettir. Pandemi öncesi ile sonrası arasındaki yıllık uçuş sıklığı ilişkisinin analizinde korelasyon testi uygulanmıştır. Ayrıca demografik verilerle uçuş sıklığı değişimine dair hipotezler oluşturulup bu hipotezler tek yönlü ANOVA yöntemi ile sınanmıştır. Verilerin analizinde ise SPSS 22 programından yararlanılmıştır. Ankete 229 kişi katılmış fakat bunların arasından sadece uygun olan 202 kişi değerlendirmeye alınmıştır. Korelasyon test sonuçları anlamlı çıkmıştır, dolayısıyla çeşitli zaman periyodları için verilmiş olan tahmini ortalama hasta sayıları ile uçuş sıklıkları arasında bir ilişki tespit edilmiştir. Bildirilen hasta sayısı arttıkça uçuş sıklığının azaldığı görülmüştür. Hasta sayısı 3000'in üzerinde olduğunda, kişi başına ortalama yıllık uçuş sıklığında en fazla %82'lik bir azalma öngörülmektedir. İncelenen sosyo-demografik değişkenlerden eğitim düzeyi haricindekilerin tamamının uçuş sıklığını etkilediği ortaya çıkmıştır.

Anahtar Kelimeler

hava taşımacılığı covid-19 anket uçuş sıklığı yolcu

Kaynakça

  • Adrienne, N., Budd, L., & Ison, S. (2020). Grounded aircraft: An airfield operations perspective of the challenges of resuming flights post Covid. Journal of Air Transport Management, 89, 101921. https://doi.org/10.1016/j.jairtraman.2020.101921
  • Air traffic will take years to return to 2019 levels. (2020, July 8). Retrieved September 25, 2021, from https://dailybrief.oxan.com/Analysis/DB253776/Air-traffic-will-take-years-to-return-to-2019-levels
  • Altınay Özdemir, M. (2020). How covid-19 outbreak affects tourists’ travel intentions? A case study in Turkey. Social Mentality And Researcher Thinkers Journal, 6(32), 1101–1113. https://doi.org/10.31576/smryj.562
  • Büyüköztürk, Ş. (2018). Sosyal bilimler için veri analizi el kitabı (28th ed.). Ankara, Turkey: Pegem Akademi Yayınları.
  • Coronavirus disease (COVID-19). (2020, Dec). Retrieved June 27, 2021, from https://www.who.int/emergencies/diseases/novel-coronavirus-2019
  • Di Renzo, L., Gualtieri, P., Pivari, F., Soldati, L., Attinà, A., Cinelli, G., De Lorenzo, A. (2020). Eating habits and lifestyle changes during Covid-19 lockdown: An Italian survey. Journal of Translational Medicine, 18(1). https://doi.org/10.1186/s12967-020-02399-5
  • Gallego, I., & Font, X. (2020). Changes in air passenger demand as a result of the Covid-19 crisis: Using big data to inform tourism policy. Journal of Sustainable Tourism, 29(9), 1470–1489. https://doi.org/10.1080/09669582.2020.1773476
  • Gerede, E. (2015). Havayolu taşımacılığı ve ekonomik düzenlemeler teori ve Türkiye uygulaması [Pdf] (1st ed., Vol. 1). Retrieved from http://web.shgm.gov.tr/documents/sivilhavacilik/files/pdf/kurumsal/yayinlar/SHGM_Havayolu_Tasimaciligi_Kitabi.pdf
  • Gudmundsson, S., Cattaneo, M., & Redondi, R. (2021b). Forecasting temporal world recovery in air transport markets in the presence of large economic shocks: The case of Covid-19. Journal of Air Transport Management, 91, 102007. https://doi.org/10.1016/j.jairtraman.2020.102007
  • ICAO. (2020, May 15). icao.int. Retrieved October 15, 2020, from https://www.icao.int/sustainability/Documents/COVID-19/ICAO_Coronavirus_Econ_Impact.pdf
  • İstatistikler. (2020, Nov.). Retrieved November 10, 2020, from https://www.dhmi.gov.tr/Sayfalar/Istatistikler.aspx
  • Lamb, T. L., Winter, S. R., Rice, S., Ruskin, K. J., & Vaughn, A. (2020). Factors that predict passengers willingness to fly during and after the Covid-19 pandemic. Journal of Air Transport Management, 89, 101897. https://doi.org/10.1016/j.jairtraman.2020.101897
  • Lin, Y. H., & Zhang, C. (2021). Investigating air travellers’ travel motivation during a pandemic crisis. Journal of Air Transport Management, 97, 102138. https://doi.org/10.1016/j.jairtraman.2021.102138
  • Rockland, D. B. (2020). Air traveler response to Covid 19 An 11 country survey: Wave III. Retrieved October 15, 2020, from https://www.iata.org/contentassets/5f8235a4ef364ec886ad2594531c04d0/covid-19-survey-press-briefing-presentation-.pdf
  • Suau-Sanchez, P., Voltes-Dorta, A., & Cugueró-Escofet, N. (2020). An early assessment of the impact of Covid-19 on air transport: Just another crisis or the end of aviation as we know it? Journal of Transport Geography, 86, 102749. https://doi.org/10.1016/j.jtrangeo.2020.102749
  • Sun, X., Wandelt, S., & Zhang, A. (2020). How did Covid-19 impact air transportation? A first peek through the lens of complex networks. Journal of Air Transport Management, 89, 101928. https://doi.org/10.1016/j.jairtraman.2020.101928
  • Sun, X., Wandelt, S., Zheng, C., & Zhang, A. (2021). Covid-19 pandemic and air transportation: Successfully navigating the paper hurricane. Journal of Air Transport Management, 94, 102062. https://doi.org/10.1016/j.jairtraman.2021.102062
  • Ye, J. (2020, July 4). Scenarios for a post-Covid-19 world airline network. Retrieved September 21, 2021, from https://arxiv.org/abs/2007.02109
Toplam 18 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Makaleler
Yazarlar

Ertan Çınar 0000-0002-7783-4770

Metin Özgür 0000-0003-1023-0064

Erken Görünüm Tarihi 1 Ocak 2022
Yayımlanma Tarihi 31 Aralık 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 12 Sayı: 34

Kaynak Göster

APA Çınar, E., & Özgür, M. (2021). The Effect of COVID-19 Pandemic on the Frequency of Domestic Flights. İDEALKENT, 12(34), 1310-1333. https://doi.org/10.31198/idealkent.949748
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