Differences in Exposure to Vehicle Emissions: Comparing Dynamic Analysis to Conventional Static Exposure Analysis at The Home Address

Vehicle traffic is responsible for a significant portion of toxic air pollution that has been linked to a wide range of adverse health outcomes. Exposure to vehicle emissions is typically evaluated through modeling. The most common evaluation approach assumes all exposure occurs at a person’s home. This is referred to as the “static” exposure approach, and it is common because data on the travel patterns of the population are difficult to obtain and work with. Activity based travel demand models provide a new source of detailed travel data that has been used to create “dynamic” exposure estimates. In their study the authors complete a dynamic exposure assessment in Atlanta, Georgia and compare the results to a static approach. They also evaluate the contribution of individual activities to daily exposure and map the spatial variation in errors that occur when using a static approach. Overall, the authors find that the static approach underestimates population exposure by 34%. Errors are larger in suburban and rural areas and exposure is overestimated close to high volume roadways. Results also indicate traveling is responsible for a sizable portion of a person’s total daily vehicle emission exposure as does where they work. Errors may be larger in lower density cities like Atlanta than the denser regions considered in prior studies.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADC20 Standing Committee on Transportation and Air Quality.
  • Corporate Authors:

    Transportation Research Board

  • Authors:
    • Tayarani, Mohammad
    • Rowangould, Gregory
  • Conference:
  • Date: 2019


  • English

Media Info

  • Media Type: Digital/other
  • Features: Maps; References; Tables;
  • Pagination: 8p

Subject/Index Terms

Filing Info

  • Accession Number: 01698067
  • Record Type: Publication
  • Report/Paper Numbers: 19-05208
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:45AM