Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 26, issue 9
Articles | Volume 26, issue 9
https://doi.org/10.5194/acp-26-6197-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-6197-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 9
Research article
 | 
11 May 2026
Research article |  | 11 May 2026

An improved high-resolution passenger vehicle emission inventory for China using ride-hailing big data

Baojie Li, Zhihui Shen, Yan Li, Yongqi Zhao, Wanglijin Gu, Junjie Liu, Yunkai Yang, Weimeng Zhang, Ziqian Ma, and Hong Liao

Viewed

Total article views: 2,790 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,709 850 231 2,790 246 279 270
  • HTML: 1,709
  • PDF: 850
  • XML: 231
  • Total: 2,790
  • Supplement: 246
  • BibTeX: 279
  • EndNote: 270
Views and downloads (calculated since 28 Dec 2025)
Cumulative views and downloads (calculated since 28 Dec 2025)

Viewed (geographical distribution)

Total article views: 2,790 (including HTML, PDF, and XML) Thereof 2,771 with geography defined and 19 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 11 May 2026
Download
Short summary
As the global automotive industry continues to grow rapidly, the increasing number of passenger vehicles has contributed to worsening air pollution. This study develops an hourly-resolution emission inventory based on multi-source big data to achieve precise control of air pollution. The results showed that passenger vehicle emissions exhibit significant day-to-day variations and traditional calculation methods underestimated emissions by 31.5%.
Read more
Share
Altmetrics
Final-revised paper
Preprint