@article{https://doi.org/10.1029/2025GH001654,
author = {Zhou, Yakun and He, Xin and Skipper, T. Nash and Li, Zongrun and Gao, Ziqi and Russell, Armistead G. and Kaiser, Jennifer},
title = {Can Electric Vehicles Reduce Summertime Air Pollution Exposure Inequalities in Metro Atlanta? A High-Resolution Analysis},
journal = {GeoHealth},
volume = {10},
number = {9},
pages = {e2025GH001654},
keywords = {electric vehicle, air quality, health impact, environmental inequalities},
doi = {https://doi.org/10.1029/2025GH001654},
url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2025GH001654},
eprint = {https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2025GH001654},
note = {e2025GH001654 2025GH001654},
abstract = {Abstract Electric vehicles (EVs) are widely expected to improve air quality by reducing on-road emissions, but their impacts on exposure inequalities remain uncertain. To assess whether EVs can reduce summertime air pollution exposure inequalities in the Atlanta metropolitan area, we conduct high-resolution (1 km) photochemical air quality simulations using the Community Multiscale Air Quality (CMAQ) model. A 30\% EV adoption of heavy-duty and light-duty vehicles is simulated to evaluate changes in nitrogen dioxide (NO2), maximum daily 8-hr average ozone (MDA8 O3), and fine particulate matter (PM2.5) during summer. EV adoption leads to average domain-wide concentration reductions of 0.22 ppb in NO2, 0.94 ppb in MDA8 O3, and 0.06 μg/m3 in PM2.5, with localized increases in NO2 and PM2.5 near power plants from increased electricity demand. The primary driver of air quality improvement from EV adoption is the reduction in on-road vehicle emissions, which outweighs any increases in emissions from electric generating units. The largest exposure reductions are observed in communities with higher proportions of Asian, Hispanic, and Black populations, underscoring the potential for EV adoption to alleviate exposure burdens in the communities of color. However, exposure disparities persist even with EV adoption, despite overall reductions in exposure levels across all racial/ethnic groups. Coarse-resolution (12 km) simulations tend to underestimate exposure for minority groups by up to 25\% for NO2 and 10\% for PM2.5 but still capture the overall patterns of exposure disparities.},
year = {2026}
}