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Identifying Contributions of On-road Motor Vehicles to Urban Air Pollution Using Travel Demand Model Data

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  • Wang, Guihua
  • Bai, Song
  • Ogden, Joan M.

Abstract

Ambient concentrations of pollutants are correlated with emissions, but the contribution to ambient air quality of on-road mobile sources is not necessarily equal to their contribution to regional emissions. This is true for several reasons such as the distribution of other pollution sources and regional topology, as well as meteorology. In this paper, using a dataset from a travel demand model for the Sacramento metropolitan area for 2005, regional vehicle emissions are disaggregated into hourly, gridded emission inventories, and transportation- related concentrations are estimated using an atmospheric dispersion model. Contributions of on-road motor vehicles to urban air pollution are then identified at a regional scale. The contributions to ambient concentrations are slightly higher than emission fractions that transportation accounts for in the region, reflecting that relative to other major pollution sources, mobile sources tend to have a close proximity to air quality monitors in urban areas. The contribution results indicate that the impact of mobile sources on PM10 is not negligible, and mobile sources have a significant influence on both NOx and VOC pollution that subsequently results in secondary particulate matter and ozone formation.

Suggested Citation

  • Wang, Guihua & Bai, Song & Ogden, Joan M., 2009. "Identifying Contributions of On-road Motor Vehicles to Urban Air Pollution Using Travel Demand Model Data," Institute of Transportation Studies, Working Paper Series qt2700q8x1, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt2700q8x1
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    Cited by:

    1. Kuo-Cheng Kuo & Hsiao-Yun Yu & Wen-Min Lu & Thu-Thao Le, 2022. "Sustainability and Corporate Performance: Moderating Role of Environmental, Social, and Governance Investments in the Transportation Sector," Sustainability, MDPI, vol. 14(7), pages 1-21, March.
    2. Tian Wu & Mengbo Zhang & Xunmin Ou, 2014. "Analysis of Future Vehicle Energy Demand in China Based on a Gompertz Function Method and Computable General Equilibrium Model," Energies, MDPI, vol. 7(11), pages 1-29, November.
    3. Sheng Yang & Ling-Yun He, 2016. "Transport pollution in China – Evidence from Beijing," Energy & Environment, , vol. 27(3-4), pages 377-388, May.
    4. Habib Gürbüz & Cennet Gürbüz, 2025. "The Mediating Effect of the Sustainability Committee on the Relationship of Size of Board of Directors with Environmental Sustainability Disclosures: A Study in the Transportation Sector," Sustainability, MDPI, vol. 17(7), pages 1-23, April.
    5. Jianmin Wang & Victor Sifamen Sekei & Sherif Abdul Ganiyu & Jesse Jackson Makwetta, 2021. "Research on the Sustainability of the Standard Gauge Railway Construction Project in Tanzania," Sustainability, MDPI, vol. 13(9), pages 1-17, May.
    6. Ahanchian, Mohammad & Biona, Jose Bienvenido Manuel, 2014. "Energy demand, emissions forecasts and mitigation strategies modeled over a medium-range horizon: The case of the land transportation sector in Metro Manila," Energy Policy, Elsevier, vol. 66(C), pages 615-629.
    7. Sánchez-Braza, Antonio & Pablo-Romero, María del P., 2014. "Evaluation of property tax bonus to promote solar thermal systems in Andalusia (Spain)," Energy Policy, Elsevier, vol. 67(C), pages 832-843.

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