Research Article
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The Effect of Generational Transitions in Commercial Jet Technology on Aviation Safety

Year 2026, Volume: 21 Issue: 1 , 139 - 148 , 30.03.2026
https://doi.org/10.55525/tjst.1759407
https://izlik.org/JA85RL99UG

Abstract

The technological development of commercial jets has led to a long-term declining trend in accident risks and the frequency of fatal accidents in the aviation industry. Examining the factors behind this trend is necessary from an aviation technology perspective. The aim of this study is to determine the factors affecting fatal accidents in commercial jets and the importance of these factors. In the research, the number of fatal accidents was used as the dependent variable, while the number of hull losses and the number of flights were used as independent variables. A generalized linear model was applied to examine these relationships. According to the results obtained, the increase in the number of hull losses had a statistically significant and positive effect on fatal accidents. Accordingly, hull losses are a critical determinant for fatal accident risk. Additionally, the increase in the number of flights had a negative and significant effect on fatal accidents. This finding shows that as flight volume increased, the fatal accident rate decreased in a statistically significant manner. This situation confirms the positive effect of technological innovations in new generation commercial jets on aviation safety.

References

  • ICAO. Aircraft accident and incident investigation. 11th ed. Quebec, Canada: International Civil Aviation Organization, 2016.
  • IATA. Annual safety report addendum and appendices first half year 2024. https://www.iata.org/contentassets/ 4d18cb077c5e419b8a888d387a50c638/appendices-for-safety-report---2024-hy.pdf (Accessed April 30, 2025).
  • Cusick SK, Cortes AI, Rodrigues CC. Commercial Aviation Safety. 6th edition. New York, USA: McGraw-Hill Education, 2017.
  • Tiabtiamrat S, Wiriyacosol S. Hull loss accident model for narrow body commercial aircraft. Songklanakarin J Sci Technol 2010; 32(5):489–96.
  • Oster CV, Strong JS, Zorn CK. Analyzing aviation safety: Problems, challenges, opportunities. Res Transp Econ 2013; 43(1):148–64.
  • European Commission. Aviation safety: Challenges and ways forward for a safe future. Luxembourg: European Commission, 2018.
  • Balcerzak T, Kostur K, Rajchel J. The Black Swan theory in aviation safety. Ius Novum 2024; 18(3):34–46.
  • McFadden KL. Risk models for analyzing pilot-error at US airlines: A comparative safety study. Comput Ind Eng 2003; 44(4):581–93.
  • Janic M. An assessment of risk and safety in civil aviation. J Air Transp Manag 2000; 6(1):43–50.
  • Ayres Jr. M, Shirazi H, Carvalho R, Hall J, Speir R, Arambula E, David R, Gadzinski J, Caves R, Wong D. Modelling the location and consequences of aircraft accidents. Safety Sci 2013; 51(1):178–86.
  • Shao PC, Chang YH, Chen HJ. Analysis of an aircraft accident model in Taiwan. J Air Transp Manag 2013; 27:34–8.
  • Muecklich N, Sikora I, Paraskevas A, Padhra A. Safety and reliability in aviation – A systematic scoping review of normal accident theory, high-reliability theory, and resilience engineering in aviation. Safety Sci 2023; 162:106097.
  • Harms-Ringdahl L. Guide to safety analysis for accident prevention. Stockholm, Sweden: IRS Riskhantering, 2013.
  • Maurino D. Why SMS: An introduction and overview of safety management systems. Paris, France: OECD/ITF, 2017.
  • Rios ID, Alfaro C, Gomez J, Hernandez-Coronado P, Bernal F. Forecasting and assessing consequences of aviation safety occurrences. Safety Sci 2019; 111:243–52.
  • Airbus. Hull losses. A Statistical Analysis of Commercial Aircraft Accidents 1958-2024. https://accidentstats.airbus.com/hull-losses. (Accessed May 10, 2025).
  • Sena A, Baby Callista A, Nina Rizkyanti F. The pursuit of aviation security and safety: Dalil Naqli and Aqli. JAET 2024; 5(1):9–16.
  • The Boeing Company. Statistical summary of commercial jet airplane accidents 2025. https://www.faa.gov/ sites/faa.gov/ files/2023-10/ statsum_summary_2022.pdf. (Accessed May 25, 2025).
  • Brillinger DR. A Generalized Linear Model With Gaussian Regressor Variables. In: Guttorp P, Brillinger D, editors. Selected Works of David Brillinger. Selected Works in Probability and Statistics New York, USA: Springer, 2012, p. 589–606.
  • Fox J. Applied regression analysis and generalized linear models. 3rd edition. Canada: Sage, 2016.
  • Ormerod JT. STAT3014 Applied Statistics 2013. https://www.maths.usyd.edu.au/u/jormerod/stat3014/STAT3014_
  • https://www.sciencedirect.com/science/article/pii/S000291652312692X
  • Barker LE, Shaw KM. Best (but oft-forgotten) practices: Checking assumptions concerning regression residuals. Am J Clin Nutr 2015; 102(3):533–9.
  • Ellison SLR, Farrant TJ, Barwick V. Practical statistics for the analytical scientist: A bench guide. 2nd ed. Cambridge, UK: RSC, 2009.
  • Dönmez, K, Uslu, S İnsan Faktörleri Analiz ve Sınıflandırma Sistemi’nin (HFACS) literatürde yaygın kullanımının değerlendirilmesi. J Aviat 2018; 2(2): 156-176.
  • Karakuş, ÖY., Coşkun, MTD. Hava aracı kaza ve kırımlarında insan faktörünün araştırılması. Doktora tezi, Ankara Üniversitesi, Ankara, Türkiye, 2006.

Ticari Jet Teknolojisindeki Nesiller Arası Değişimin Havacılık Güvenliğine Etkisi

Year 2026, Volume: 21 Issue: 1 , 139 - 148 , 30.03.2026
https://doi.org/10.55525/tjst.1759407
https://izlik.org/JA85RL99UG

Abstract

Ticari jetlerin teknolojik gelişimiyle birlikte havacılık sektöründe kaza riskleri ve ölümcül kazaların sıklığı uzun vadede azalma eğilimi göstermektedir. Bu eğilimin arkasındaki faktörlerin incelenmesi havacılık teknolojisi açısından gereklidir. Bu çalışmanın amacı, ticari jetlerde meydana gelen ölümcül kazaları etkileyen faktörleri ve bu faktörlerin önemini belirlemektir. Araştırmada bağımlı değişken olarak ölümcül kaza sayısı, bağımsız değişkenler olarak ise gövde kaybı sayısı ve uçuş sayısı kullanılmıştır. Bu ilişkileri incelemek amacıyla genelleştirilmiş doğrusal model (GLM) uygulanmıştır. Elde edilen sonuçlara göre, gövde kaybı sayısındaki artış ölümcül kazaları istatistiksel olarak anlamlı ve pozitif yönde etkilemektedir. Buna göre gövde kayıpları, ölümcül kaza riski için kritik bir belirleyicidir. Ayrıca, uçuş sayısındaki artışın ölümcül kazalar üzerinde negatif ve anlamlı bir etkisi bulunmaktadır. Bu bulgu, uçuş hacmi arttıkça ölümcül kaza oranının istatistiksel olarak anlamlı biçimde azaldığını göstermektedir. Bu durum, yeni nesil ticari jetlerdeki teknolojik yeniliklerin havacılık güvenliğinde sağladığı olumlu etkiyi doğrulamaktadır.

References

  • ICAO. Aircraft accident and incident investigation. 11th ed. Quebec, Canada: International Civil Aviation Organization, 2016.
  • IATA. Annual safety report addendum and appendices first half year 2024. https://www.iata.org/contentassets/ 4d18cb077c5e419b8a888d387a50c638/appendices-for-safety-report---2024-hy.pdf (Accessed April 30, 2025).
  • Cusick SK, Cortes AI, Rodrigues CC. Commercial Aviation Safety. 6th edition. New York, USA: McGraw-Hill Education, 2017.
  • Tiabtiamrat S, Wiriyacosol S. Hull loss accident model for narrow body commercial aircraft. Songklanakarin J Sci Technol 2010; 32(5):489–96.
  • Oster CV, Strong JS, Zorn CK. Analyzing aviation safety: Problems, challenges, opportunities. Res Transp Econ 2013; 43(1):148–64.
  • European Commission. Aviation safety: Challenges and ways forward for a safe future. Luxembourg: European Commission, 2018.
  • Balcerzak T, Kostur K, Rajchel J. The Black Swan theory in aviation safety. Ius Novum 2024; 18(3):34–46.
  • McFadden KL. Risk models for analyzing pilot-error at US airlines: A comparative safety study. Comput Ind Eng 2003; 44(4):581–93.
  • Janic M. An assessment of risk and safety in civil aviation. J Air Transp Manag 2000; 6(1):43–50.
  • Ayres Jr. M, Shirazi H, Carvalho R, Hall J, Speir R, Arambula E, David R, Gadzinski J, Caves R, Wong D. Modelling the location and consequences of aircraft accidents. Safety Sci 2013; 51(1):178–86.
  • Shao PC, Chang YH, Chen HJ. Analysis of an aircraft accident model in Taiwan. J Air Transp Manag 2013; 27:34–8.
  • Muecklich N, Sikora I, Paraskevas A, Padhra A. Safety and reliability in aviation – A systematic scoping review of normal accident theory, high-reliability theory, and resilience engineering in aviation. Safety Sci 2023; 162:106097.
  • Harms-Ringdahl L. Guide to safety analysis for accident prevention. Stockholm, Sweden: IRS Riskhantering, 2013.
  • Maurino D. Why SMS: An introduction and overview of safety management systems. Paris, France: OECD/ITF, 2017.
  • Rios ID, Alfaro C, Gomez J, Hernandez-Coronado P, Bernal F. Forecasting and assessing consequences of aviation safety occurrences. Safety Sci 2019; 111:243–52.
  • Airbus. Hull losses. A Statistical Analysis of Commercial Aircraft Accidents 1958-2024. https://accidentstats.airbus.com/hull-losses. (Accessed May 10, 2025).
  • Sena A, Baby Callista A, Nina Rizkyanti F. The pursuit of aviation security and safety: Dalil Naqli and Aqli. JAET 2024; 5(1):9–16.
  • The Boeing Company. Statistical summary of commercial jet airplane accidents 2025. https://www.faa.gov/ sites/faa.gov/ files/2023-10/ statsum_summary_2022.pdf. (Accessed May 25, 2025).
  • Brillinger DR. A Generalized Linear Model With Gaussian Regressor Variables. In: Guttorp P, Brillinger D, editors. Selected Works of David Brillinger. Selected Works in Probability and Statistics New York, USA: Springer, 2012, p. 589–606.
  • Fox J. Applied regression analysis and generalized linear models. 3rd edition. Canada: Sage, 2016.
  • Ormerod JT. STAT3014 Applied Statistics 2013. https://www.maths.usyd.edu.au/u/jormerod/stat3014/STAT3014_
  • https://www.sciencedirect.com/science/article/pii/S000291652312692X
  • Barker LE, Shaw KM. Best (but oft-forgotten) practices: Checking assumptions concerning regression residuals. Am J Clin Nutr 2015; 102(3):533–9.
  • Ellison SLR, Farrant TJ, Barwick V. Practical statistics for the analytical scientist: A bench guide. 2nd ed. Cambridge, UK: RSC, 2009.
  • Dönmez, K, Uslu, S İnsan Faktörleri Analiz ve Sınıflandırma Sistemi’nin (HFACS) literatürde yaygın kullanımının değerlendirilmesi. J Aviat 2018; 2(2): 156-176.
  • Karakuş, ÖY., Coşkun, MTD. Hava aracı kaza ve kırımlarında insan faktörünün araştırılması. Doktora tezi, Ankara Üniversitesi, Ankara, Türkiye, 2006.
There are 26 citations in total.

Details

Primary Language English
Subjects Data Management and Data Science (Other)
Journal Section Research Article
Authors

Fethi Aslan 0000-0002-5567-9706

Kamil Abdullah Eşidir 0000-0002-8106-1758

Submission Date August 6, 2025
Acceptance Date September 24, 2025
Publication Date March 30, 2026
DOI https://doi.org/10.55525/tjst.1759407
IZ https://izlik.org/JA85RL99UG
Published in Issue Year 2026 Volume: 21 Issue: 1

Cite

APA Aslan, F., & Eşidir, K. A. (2026). The Effect of Generational Transitions in Commercial Jet Technology on Aviation Safety. Turkish Journal of Science and Technology, 21(1), 139-148. https://doi.org/10.55525/tjst.1759407
AMA 1.Aslan F, Eşidir KA. The Effect of Generational Transitions in Commercial Jet Technology on Aviation Safety. TJST. 2026;21(1):139-148. doi:10.55525/tjst.1759407
Chicago Aslan, Fethi, and Kamil Abdullah Eşidir. 2026. “The Effect of Generational Transitions in Commercial Jet Technology on Aviation Safety”. Turkish Journal of Science and Technology 21 (1): 139-48. https://doi.org/10.55525/tjst.1759407.
EndNote Aslan F, Eşidir KA (March 1, 2026) The Effect of Generational Transitions in Commercial Jet Technology on Aviation Safety. Turkish Journal of Science and Technology 21 1 139–148.
IEEE [1]F. Aslan and K. A. Eşidir, “The Effect of Generational Transitions in Commercial Jet Technology on Aviation Safety”, TJST, vol. 21, no. 1, pp. 139–148, Mar. 2026, doi: 10.55525/tjst.1759407.
ISNAD Aslan, Fethi - Eşidir, Kamil Abdullah. “The Effect of Generational Transitions in Commercial Jet Technology on Aviation Safety”. Turkish Journal of Science and Technology 21/1 (March 1, 2026): 139-148. https://doi.org/10.55525/tjst.1759407.
JAMA 1.Aslan F, Eşidir KA. The Effect of Generational Transitions in Commercial Jet Technology on Aviation Safety. TJST. 2026;21:139–148.
MLA Aslan, Fethi, and Kamil Abdullah Eşidir. “The Effect of Generational Transitions in Commercial Jet Technology on Aviation Safety”. Turkish Journal of Science and Technology, vol. 21, no. 1, Mar. 2026, pp. 139-48, doi:10.55525/tjst.1759407.
Vancouver 1.Fethi Aslan, Kamil Abdullah Eşidir. The Effect of Generational Transitions in Commercial Jet Technology on Aviation Safety. TJST. 2026 Mar. 1;21(1):139-48. doi:10.55525/tjst.1759407