TY - JOUR
T1 - EV-driven decarbonization of China's road transport
T2 - Linking historical drivers and future trends
AU - Lu, Ye
AU - Li, Yufan
AU - Peng, Tianduo
AU - Chen, Weiming
AU - Pan, Xunzhang
N1 - Publisher Copyright:
© 2026 Published by Elsevier Ltd.
PY - 2026/4/1
Y1 - 2026/4/1
N2 - The road transport sector, due to its heavy reliance on oil, remains one of the most challenging to decarbonize. Existing studies have typically focused on historical drivers or future scenarios, without explicitly linking past dynamics to future transition pathways. To address this gap, this study develops a “history–future” framework integrating LMDI decomposition with the LEAP model to assess China's road transport decarbonization. Results show that China's road transport CO2 emissions increased by 168 Mt (6.5%) during 2015–2019, mainly driven by socio-economic growth, while improvements in energy intensity offset about 45% of emissions. Early electrification of urban buses significantly reduced carbon intensity, highlighting the growing mitigation role of electric vehicles (EVs). Scenario analysis shows that large-scale EV diffusion fundamentally reshapes future pathways. China's total vehicle stock is projected to peak at 497 million in 2042, while fuel-based energy consumption and CO2 emissions peak earlier, around 2025, under the 'deep decarbonization' scenario (DDS) and 'near-zero-emissions' scenario (NZS). By 2060, road transport CO2 emissions decline to 137 Mt under the DDS and to 2 Mt under the NZS, with EVs dominating vehicle stocks. Future LMDI decomposition reveals a shift in mitigation drivers. During the peaking phase, energy intensity and vehicle structure dominate, contributing −77 Mt and −72 Mt, respectively, while carbon intensity becomes the main driver in the carbon neutrality phase, contributing −470 Mt. These results support a phased strategy emphasizing near-term efficiency improvements and long-term vehicle electrification with clean energy supply.
AB - The road transport sector, due to its heavy reliance on oil, remains one of the most challenging to decarbonize. Existing studies have typically focused on historical drivers or future scenarios, without explicitly linking past dynamics to future transition pathways. To address this gap, this study develops a “history–future” framework integrating LMDI decomposition with the LEAP model to assess China's road transport decarbonization. Results show that China's road transport CO2 emissions increased by 168 Mt (6.5%) during 2015–2019, mainly driven by socio-economic growth, while improvements in energy intensity offset about 45% of emissions. Early electrification of urban buses significantly reduced carbon intensity, highlighting the growing mitigation role of electric vehicles (EVs). Scenario analysis shows that large-scale EV diffusion fundamentally reshapes future pathways. China's total vehicle stock is projected to peak at 497 million in 2042, while fuel-based energy consumption and CO2 emissions peak earlier, around 2025, under the 'deep decarbonization' scenario (DDS) and 'near-zero-emissions' scenario (NZS). By 2060, road transport CO2 emissions decline to 137 Mt under the DDS and to 2 Mt under the NZS, with EVs dominating vehicle stocks. Future LMDI decomposition reveals a shift in mitigation drivers. During the peaking phase, energy intensity and vehicle structure dominate, contributing −77 Mt and −72 Mt, respectively, while carbon intensity becomes the main driver in the carbon neutrality phase, contributing −470 Mt. These results support a phased strategy emphasizing near-term efficiency improvements and long-term vehicle electrification with clean energy supply.
KW - Carbon neutrality
KW - Decarbonization pathways
KW - Emissions drivers
KW - Road transport
UR - https://www.scopus.com/pages/publications/105034488645
U2 - 10.1016/j.energy.2026.140489
DO - 10.1016/j.energy.2026.140489
M3 - Article
AN - SCOPUS:105034488645
SN - 0360-5442
VL - 348
JO - Energy
JF - Energy
M1 - 140489
ER -