Modeling Framework of Population Exposure to Traffic-related PM2.5 and Environmental Equity Analysis: Case Study in Atlanta, Georgia

The exposure to fine particular matter of 2.5 μm or smaller (PM2.5) has been widely connected with adverse impacts on human health, but exposure estimation is often limited by a lack of high-resolution modeling framework, which is of crucial importance for quantifying inhaled particulate mass and in conducting environmental equity analysis. The existing models of population exposure are mostly based on coarse input data (area-wide concentration, for instance), and are not sensitive to reflect the change of travel paths. Although there are a few exposure models that provide detailed outputs, these models have not been comprehensively integrated to a complete modeling framework, quantifying both off-and in-vehicle inhalation. In this work, a modeling framework of population exposure to PM2.5 with high spatiotemporal resolution is proposed and applied to the region of Atlanta, GA for environmental equity analysis. The research is conducted with the following steps: First, the output database of Atlanta Regional Commission’s (ARC) Activity-Based Model 2015 (ABM15) is retrieved, and a refined path retention algorithm is proposed based on previous study (Zhao, et al., 2019) to generate individual travel paths and population temporospatial distribution. The high-resolution concentration profiles by AERMOD is also retrieved from the previous study (Kim, et al., 2019). Second, the travel activity data is integrated with MOVES-Matrix (Guensler, et al., 2017) to obtain the individual PM2.5 emission for comparison with the inhalation. Third, the exposure modeling will be conducted based upon the quantification of both off-vehicle and in-vehicle inhaled mass, derived from detailed spatial and temporal attributions of concentration and travel activity input. Analysis will also include an assessment of temporospatial uncertainty analysis. The outputs will be aggregated into household/demographic group levels and environmental equity will be evaluated across the demographic groups for exposure to traffic-related PM2.5. The products of this research provide exposure/emission analysis at an individual level, with an appropriate number of input data. The proposed modeling framework can be used to link concentration profiles and population exposure for analysis such as environmental equity issues, and the output dataset also benefits the decision-making in the Atlanta region.

Language

  • English

Project

  • Status: Active
  • Funding: $60000
  • Contract Numbers:

    DOT 69A3551747114

  • Sponsor Organizations:

    National Center for Sustainable Transportation

    University of California, Davis
    Davis, CA  United States 

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590

    Georgia State Road and Tollway Authority

    Atlanta,   United States 
  • Managing Organizations:

    National Center for Sustainable Transportation

    University of California, Davis
    Davis, CA  United States 

    Georgia Tech University, Atlanta

    Atlanta, GA  United States 
  • Project Managers:

    Iacobucci, Lauren

  • Performing Organizations:

    National Center for Sustainable Transportation

    University of California, Davis
    Davis, CA  United States 

    Georgia Tech University, Atlanta

    Atlanta, GA  United States 
  • Principal Investigators:

    Lu, Hongyu

    Rodgers, Michael

  • Start Date: 20190401
  • Expected Completion Date: 20201231
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01714354
  • Record Type: Research project
  • Source Agency: National Center for Sustainable Transportation
  • Contract Numbers: DOT 69A3551747114
  • Files: UTC, RiP
  • Created Date: Aug 19 2019 2:51PM