Integrating system dynamics and agent-based modeling: A data-driven framework for predicting electric vehicle market penetration and GHG emissions reduction under various incentives scenarios-Reference-Cited by-同舟云学术

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Integrating system dynamics and agent-based modeling: A data-driven framework for predicting electric vehicle market penetration and GHG emissions reduction under various incentives scenarios

Published:2024-10 Issue: Volume:372 Page:123749
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Zhan Weipeng,Wang Zhenpo,Deng Junjun,Liu Peng,Cui Dingsong

Funder

Beijing Nova Program

Ministry of Science and Technology of the People's Republic of China

Beijing Municipal Science and Technology Commission

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference53 articles.

1. Multi-scale urban passenger transportation CO2 emission calculation platform for smart mobility management;Liu;Appl. Energy,2023

2. China’s pathways to peak carbon emissions: new insights from various industrial sectors;Fang;Appl. Energy,2022

3. Designing government subsidy schemes to promote the electric vehicle industry: a system dynamics model perspective;Li;Transp Res Part A Policy Pract,2023

4. The system dynamics (SD) analysis of the government and power producers’ evolutionary game strategies based on carbon trading (CT) mechanism: a case of China;Zhao;Sustainability,2018

5. How to face the challenges caused by the abolishment of subsidies for electric vehicles in China?;Wang;Energy,2019

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