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High-resolution spatiotemporal inference of urban road traffic emissions using taxi GPS and multi-source urban features data: a case study in Chengdu, China

Crossref DOI link: https://doi.org/10.1007/s44212-024-00045-9

Published Online: 2024-06-13

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Li, Jiaxing

Jiang, Chaozhe

Han, Ke

Yu, Qing https://orcid.org/0000-0003-2513-2969
Zhang, Haoran
Funding

Funding for this research was provided by:

Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University (K202301)
License Information

Text and Data Mining valid from 2024-06-13

Version of Record valid from 2024-06-13
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Article History

Received: 14 November 2023

Revised: 24 February 2024

Accepted: 8 March 2024

First Online: 13 June 2024

Declarations

:

: There are no conflicts of interest to declare.

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