Articles | Volume 25, issue 11
https://doi.org/10.5194/acp-25-5537-2025
https://doi.org/10.5194/acp-25-5537-2025
Research article
 | 
04 Jun 2025
Research article |  | 04 Jun 2025

High-resolution mapping of on-road vehicle emissions with real-time traffic datasets based on big data

Yujia Wang, Hongbin Wang, Bo Zhang, Peng Liu, Xinfeng Wang, Shuchun Si, Likun Xue, Qingzhu Zhang, and Qiao Wang

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Cited articles

Apte, J. S. and Manchanda, C.: High-resolution urban air pollution mapping, Science, 385, 380–385, https://doi.org/10.1126/science.adq3678, 2024. 
Apte, J. S., Messier, K. P., Gani, S., Brauer, M., Kirchstetter, T. W., Lunden, M. M., Marshall, J. D., Portier, C. J., Vermeulen, R. C. H., and Hamburg, S. P.: High-resolution air pollution mapping with Google Street View cars: Exploiting big data, Environ. Sci. Technol., 51, 6999–7008, https://doi.org/10.1021/acs.est.7b00891, 2017. 
Barreto, E., Holden, P. B., Edwards, N. R., and Rangel, T. F.: PALEO-PGEM-Series: A spatial time series of the global climate over the last 5 million years (Plio-Pleistocene), Global Ecol. Biogeogr., 32, 1034–1045, https://doi.org/10.1111/geb.13683, 2023. 
Belalcazar, L. C., Clappier, A., Blond, N., Flassak, T., and Eichhorn, J.: An evaluation of the estimation of road traffic emission factors from tracer studies, Atmos. Environ., 44, 3814–3822, https://doi.org/10.1016/j.atmosenv.2010.06.038, 2010. 
Böhm, M., Nanni, M., and Pappalardo, L.: Gross polluters and vehicle emissions reduction, Nat. Sustain., 5, 699–707, https://doi.org/10.1038/s41893-022-00903-x, 2022. 
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This study established a bottom-up approach that employs real-time traffic flows and interpolation to obtain a spatially continuous on-road vehicle emission mapping for the main urban area of Jinan. The diurnal variation, spatial distribution, and emission hotspots were analyzed with clustering and hotspot analysis, showing unique fine-scale variation characteristics of on-road vehicle emissions. Future scenario analysis demonstrates remarkable benefits of electrification on emission reduction.
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