TR
EN
Modeling Vehicle Number Change and Carbon Footprint Trends in Turkey (2030–2040) Using Polynomial Regression
Abstract
This study analyzes the changes in registered vehicle types in Turkey from 2004 to 2024 and presents forecasts for vehicle numbers and transportation-related carbon footprint for the years 2030, 2035, and 2040. Using a polynomial regression-based time series model, future trends for gasoline, diesel, and LPG-powered vehicles are projected, and their environmental impacts are evaluated under three distinct policy scenarios. The results show that if fossil-fueled vehicles continue to dominate, the carbon footprint will increase significantly; however, a rapid transition to electric and hybrid vehicles can substantially reduce emissions. The scenario-based projections indicate that advanced sustainability policies could achieve meaningful reductions in emissions by 2040. This study offers evidence-based policy recommendations to support Turkey’s pathway toward its 2053 Net Zero Emission target, emphasizing the critical role of low-carbon mobility transitions.
Keywords
References
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Details
Primary Language
English
Subjects
Modelling and Simulation
Journal Section
Research Article
Early Pub Date
October 22, 2025
Publication Date
October 25, 2025
Submission Date
May 7, 2025
Acceptance Date
June 24, 2025
Published in Issue
Year 2025 Volume: 8 Number: 2
APA
Söyler, H., & Karaoğlu, A. (2025). Modeling Vehicle Number Change and Carbon Footprint Trends in Turkey (2030–2040) Using Polynomial Regression. Akıllı Ulaşım Sistemleri Ve Uygulamaları Dergisi, 8(2), 133-146. https://doi.org/10.51513/jitsa.1695061
AMA
1.Söyler H, Karaoğlu A. Modeling Vehicle Number Change and Carbon Footprint Trends in Turkey (2030–2040) Using Polynomial Regression. Jitsa. 2025;8(2):133-146. doi:10.51513/jitsa.1695061
Chicago
Söyler, Hüseyin, and Ahmet Karaoğlu. 2025. “Modeling Vehicle Number Change and Carbon Footprint Trends in Turkey (2030–2040) Using Polynomial Regression”. Akıllı Ulaşım Sistemleri Ve Uygulamaları Dergisi 8 (2): 133-46. https://doi.org/10.51513/jitsa.1695061.
EndNote
Söyler H, Karaoğlu A (October 1, 2025) Modeling Vehicle Number Change and Carbon Footprint Trends in Turkey (2030–2040) Using Polynomial Regression. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi 8 2 133–146.
IEEE
[1]H. Söyler and A. Karaoğlu, “Modeling Vehicle Number Change and Carbon Footprint Trends in Turkey (2030–2040) Using Polynomial Regression”, Jitsa, vol. 8, no. 2, pp. 133–146, Oct. 2025, doi: 10.51513/jitsa.1695061.
ISNAD
Söyler, Hüseyin - Karaoğlu, Ahmet. “Modeling Vehicle Number Change and Carbon Footprint Trends in Turkey (2030–2040) Using Polynomial Regression”. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi 8/2 (October 1, 2025): 133-146. https://doi.org/10.51513/jitsa.1695061.
JAMA
1.Söyler H, Karaoğlu A. Modeling Vehicle Number Change and Carbon Footprint Trends in Turkey (2030–2040) Using Polynomial Regression. Jitsa. 2025;8:133–146.
MLA
Söyler, Hüseyin, and Ahmet Karaoğlu. “Modeling Vehicle Number Change and Carbon Footprint Trends in Turkey (2030–2040) Using Polynomial Regression”. Akıllı Ulaşım Sistemleri Ve Uygulamaları Dergisi, vol. 8, no. 2, Oct. 2025, pp. 133-46, doi:10.51513/jitsa.1695061.
Vancouver
1.Hüseyin Söyler, Ahmet Karaoğlu. Modeling Vehicle Number Change and Carbon Footprint Trends in Turkey (2030–2040) Using Polynomial Regression. Jitsa. 2025 Oct. 1;8(2):133-46. doi:10.51513/jitsa.1695061
Cited By
Yeşil Ekonomi ve Yeşil Ulaşımın Sürdürülebilirliğe Etkisi
Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi
https://doi.org/10.51513/jitsa.1892313