Issue |
E3S Web Conf.
Volume 617, 2025
2024 International Conference on Environment Engineering, Urban Planning and Design (EEUPD 2024)
|
|
---|---|---|
Article Number | 02002 | |
Number of page(s) | 5 | |
Section | Study on Urban Renewal and Low Carbon Transport and Energy Systems | |
DOI | https://doi.org/10.1051/e3sconf/202561702002 | |
Published online | 21 February 2025 |
Research on the Impact of New Energy Vehicles on Carbon Emissions of Urban Transportation
Qingdao Middle School (Qingdao academy), Qingdao, 266114, China
* Corresponding author’s e-mail: Hongru_Lin@outlook.com
With the acceleration of urbanization, the growth of urban travel demand has led to rising carbon emissions, and the development of low-carbon urban transport has become particularly urgent. This study focuses on the prediction of carbon emissions in the road traffic sector of City A in 2030, and explores the potential changes in carbon emissions under different scenarios. The research objects include private cars, taxis, buses and ordinary trucks, and two prediction scenarios are constructed: baseline scenario and policy scenario. The baseline scenario reflects the natural development trend of future carbon emissions under the existing technology and policy conditions, while the policy scenario considers the implementation of new energy vehicle promotion policies and evaluates the potential contribution of new energy vehicles to reducing road traffic carbon emissions. The multiple linear regression model and S-curve model are used to predict the total number of motor vehicles under different scenarios, and the “bottom-up” method of IPCC is used to calculate the carbon emissions of transportation. The results show that the promotion of new energy vehicles, especially pure electric vehicles, has a significant effect on reducing carbon emissions in the field of transportation.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.