Reexamining exposure from truck emissions considering daily movement of individuals

With the growing demand for urban freight transportation, trucks emit a large amount of pollutants such as particulate matters and nitrogen oxides, increasingly affecting public health. This study establishes a modelized air dispersion structure to simulate pollutant concentration distribution. By integrating multiple data sources including mobile phone signals and satellite images, the authors reconstruct the daily trajectories of individuals and further incorporate simulated pollution concentrations in calculating dynamic and static exposure of individuals to truck emissions. Econometric models considering spatial dependence are developed to evaluate the influencing factors and elucidate the mechanisms of pollutant exposure. Results show factors including freight demand, road network, residential and employment locations, personal commuting distance, and population age structure matter in assessing truck emission exposure. As a result, a mixture of vehicular emission standards, urban traffic control, land planning, and industrial policies is proposed to reduce truck pollutant exposure and safeguard public health.

• Record URL:
  • https://doi.org/10.1016/j.trd.2024.104441
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1361920924003985
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Abstract reprinted with permission of Elsevier.
• Authors:
  • Xiao, Tong
  • Qin, Zhengtao
  • Lu, Yougeng
  • Chao, Yuan
  • Yang, Chao
  • Yuan, Quan
• Publication Date: 2024-11

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 104441
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 136
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Air quality; Econometric models; Freight transportation; Pollutants; Public health; Simulation; Trucks
• Geographic Terms: Shanghai (China)
• Subject Areas: Environment; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01933467
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 14 2024 9:03AM