TR
EN
Modeling Vehicle Number Change and Carbon Footprint Trends in Turkey (2030–2040) Using Polynomial Regression
Öz
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.
Anahtar Kelimeler
Kaynakça
- Ağbulut, Ü. (2022). Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms. Sustainable Production and Consumption, 29, 141-157. https://doi.org/10.1016/j.spc.2021.10.001
- Asgarian, F., Hejazi, S. R., Khosroshahi, H., & Safarzadeh, S. (2024). Vehicle pricing considering EVs promotion and public transportation investment under governmental policies on sustainable transportation development: The case of Norway. Transport Policy, 153, 204-221. https://doi.org/10.1016/j.tranpol.2024.05.017
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- Belany, P., Hrabovsky, P., Sedivy, S., Cajova Kantova, N., & Florkova, Z. (2024). A Comparative Analysis of Polynomial Regression and Artificial Neural Networks for Prediction of Lighting Consumption. Buildings, 14(6), 1712. https://doi.org/10.3390/buildings14061712
- Bleviss, D. L. (2021). Transportation is critical to reducing greenhouse gas emissions in the United States. WIREs Energy and Environment, 10(2), e390. https://doi.org/10.1002/wene.390
- Brand, C., Anable, J., & Morton, C. (2019). Lifestyle, efficiency and limits: Modelling transport energy and emissions using a socio-technical approach. Energy Efficiency, 12(1), 187-207. https://doi.org/10.1007/s12053-018-9678-9
- Cevheribucak, G. (2021). Energy Transition and Sustainable Road Transportation in Turkey: Multiple Policy Challenges for Inclusive Change. Frontiers in Sustainable Cities, 3, 631337. https://doi.org/10.3389/frsc.2021.631337
- Cremades, L., & Canals Casals, L. (2022). Analysis of the Future of Mobility: The Battery Electric Vehicle Seems Just a Transitory Alternative. Energies, 15(23), 9149. https://doi.org/10.3390/en15239149
Ayrıntılar
Birincil Dil
İngilizce
Konular
Modelleme ve Simülasyon
Bölüm
Araştırma Makalesi
Erken Görünüm Tarihi
22 Ekim 2025
Yayımlanma Tarihi
25 Ekim 2025
Gönderilme Tarihi
7 Mayıs 2025
Kabul Tarihi
24 Haziran 2025
Yayımlandığı Sayı
Yıl 2025 Cilt: 8 Sayı: 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, ve 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 (01 Ekim 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 ve A. Karaoğlu, “Modeling Vehicle Number Change and Carbon Footprint Trends in Turkey (2030–2040) Using Polynomial Regression”, Jitsa, c. 8, sy 2, ss. 133–146, Eki. 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 (01 Ekim 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, ve Ahmet Karaoğlu. “Modeling Vehicle Number Change and Carbon Footprint Trends in Turkey (2030–2040) Using Polynomial Regression”. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, c. 8, sy 2, Ekim 2025, ss. 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. 01 Ekim 2025;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