Long term characterization of the vehicle stock in Turkey
Projections of vehicle profiles play an essential role in developing government policies for emissions reductions in the automotive sector. Determining the trends of key parameters related to tailpipe emissions is critical for analyzing the adverse effects of vehicle emissions on air quality. This study presents a framework that can be used to assess the impacts of the vehicle fleet characteristics on pollutant emissions. Passenger cars and light commercial category vehicles in the Turkish vehicle fleet are analyzed in terms of size (sales and scrappage rates), age distribution, fuel type, engine displacement, and mileage. The distributions based on these parameters are forecasted for the 2020–2030 period under five alternative policy scenarios for Turkey. Should no scrappage incentives be imposed, the average vehicle age is estimated to increase significantly, and shares of hybrid and electric vehicles will be minor.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
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Supplemental Notes:
- © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Köksal, Merih Aydınalp
- Tekeli, Ş. Elçin
- Aksoy, Shihomi Ara
- Kızıltan, Anna
- Kızıltan, Mustafa
- Duran, Nilhan
- Aslanoğlu, S. Yeşer
- Öztürk, Fatma
- Özyürek, Nazan
- Doğan, Pervin
- Yılmaz, Ağça Gül
- Köksal, Canan Esin
- Gürtepe, İrde Çetintürk
- Yereli, Ahmet Burçin
- Birpınar, Mehmet Emin
- Güllü, Gülen
- Publication Date: 2021-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
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Serial:
- Transportation Research Part D: Transport and Environment
- Volume: 99
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1361-9209
- Serial URL: http://www.sciencedirect.com/science/journal/13619209
Subject/Index Terms
- TRT Terms: Forecasting; Policy; Pollutants; Vehicle classification
- Geographic Terms: Turkey
- Subject Areas: Environment; Highways; Policy; Vehicles and Equipment;
Filing Info
- Accession Number: 01781722
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 20 2021 2:52PM