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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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    References listed on IDEAS

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    1. McCubbin, Donald R. & Delucchi, Mark A., 1996. "The Social Cost of the Health Effects of Motor-Vehicle Air Pollution," University of California Transportation Center, Working Papers qt5jm6d2tc, University of California Transportation Center.
    2. Wang, Guihua & Ogden, Joan M & Chang, Daniel P.Y., 2007. "Estimating changes in urban ozone concentrations due to life cycle emissions from hydrogen transportation systems," Institute of Transportation Studies, Working Paper Series qt21c6p765, Institute of Transportation Studies, UC Davis.
    3. Wang, Guihua & Ogden, Joan M & Chang, Daniel P.Y., 2007. "Estimating changes in urban ozone concentrations due to life cycle emissions from hydrogen transportation systems," Institute of Transportation Studies, Working Paper Series qt4894t868, Institute of Transportation Studies, UC Davis.
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    Cited by:

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    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. 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.
    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. 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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    Keywords

    UCD-ITS-RP-09-13; Engineering;

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