Proposal of policies based on temporal-spatial dynamic characteristics and co-benefits of CO₂ and air pollutants from vehicles in Shanghai, China

In megacities, vehicle emissions face urgent challenges related to air pollution and CO₂ control. To achieve the refinement of vehicle control policies for the co-control of air pollutants and CO₂, this study established a vehicle emission inventory with high spatial and temporal resolution based on the hourly traffic flow in Shanghai and analyzed the spatial and temporal distribution characteristics of the real-time vehicle emissions. Meanwhile, a policy evaluation framework was constructed by combining pollutant emission predictions with quantitative co-control effect assessments. The results indicated that spatio-temporal variations in different air pollutants and CO₂ could mainly be attributed to primary contributing vehicle types. The pollutants (CO₂, CO and VOCs) primarily contributed by private cars exhibited a bimodal pattern in 24-h time series and their spatial distribution was concentrated in the urban city center. The spatial distribution of NOx and PM primarily contributed by heavy trucks was still obvious on non-urban center areas. Furthermore, the results of synergistic effect analysis revealed that the alternative energy replacement scenario demonstrated the most significant potential for the co-control. Based on temporal-spatial and co-benefit analysis, the precise control policy of vehicle emissions can be established through time-, region-, and model-control. This study provides references and research methods for the formulation of the vehicle refinement control policies in worldwide megacities.

• Record URL:
  • https://doi.org/10.1016/j.jenvman.2023.119736
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0301479723025240
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03014797
• Supplemental Notes:
  • © 2023 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Dai, Yuntong
  • Shi, Xiahong
  • Huang, Zining
  • Du, Weiyi
  • Cheng, Jinping
  • 0000-0002-6750-6562
• Publication Date: 2024-2

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 119736
• Serial:
  • Journal of Environmental Management
  • Volume: 351
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0301-4797
  • EISSN: 1095-8630
  • Serial URL: http://www.sciencedirect.com/science/journal/03014797

Subject/Index Terms

• TRT Terms: Carbon dioxide; Environmental policy; Exhaust gases; Pollutants; Spatial analysis; Time series analysis; Traffic flow
• Geographic Terms: Shanghai (China)
• Subject Areas: Environment; Highways; Policy; Vehicles and Equipment;

Filing Info

• Accession Number: 01911434
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 11 2024 3:53PM