Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 25, issue 11
Articles | Volume 25, issue 11
https://doi.org/10.5194/acp-25-5537-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-25-5537-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 11
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

Viewed

Total article views: 1,377 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
820 231 326 1,377 51 27 43
  • HTML: 820
  • PDF: 231
  • XML: 326
  • Total: 1,377
  • Supplement: 51
  • BibTeX: 27
  • EndNote: 43
Views and downloads (calculated since 11 Oct 2024)
Cumulative views and downloads (calculated since 11 Oct 2024)

Viewed (geographical distribution)

Total article views: 1,377 (including HTML, PDF, and XML) Thereof 1,371 with geography defined and 6 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 16 Jul 2025
Download
Short summary
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.
Read more
Share
Special issue
Air quality research at street level – Part II (ACP/GMD inter-journal...
Altmetrics
Final-revised paper
Preprint