Dear Group,
We recently published an article on using an agent-based modeling framework to study
population exposure to traffic-related pollution and issues pertaining to environmental
justice and data-resolution. I thought this article may be of interest to the members of
this group. Please find it attached (I provided the link below if you want to directly
access it on the journal website):
https://authors.elsevier.com/c/1YPzH_4XYgghYC
Some key highlights of the article:
* We developed an exposure modeling framework by integrating an activity-based
travel demand model (DaySIM), a dynamic traffic assignment model (MATSim), a mobile source
emissions model (EPA MOVES), and a dispersion model (RLINE)
o This framework was used to estimate human activities, roadway link-level emissions,
concentrations on a 500 meter grid, and exposure to NOx at the person-level and population
subgroup-level
* The study area is Hillsborough County, Florida (Tampa)
* Below poverty group, blacks, working adults, and individuals with longer travel
times had disproportionately high exposures
* Exposure disparities for minorities increased sharply at higher exposure levels
* Use of low-resolution activities and concentration data underestimated exposures
on average
o This underestimation of exposure is more pronounced with the use of just
low-resolution concentration data as opposed to the use of just low-resolution activity
data; this suggests use of high-resolution concentration data may be more important than
use of high-resolution activity data to estimate exposures
Thanks,
Sashi
Sashi Gurram, Ph.D.
Transportation Engineer/Data Scientist
Ph: (678) 399-6984
AirSage Inc.
1350 Spring St NW, Atlanta, GA 30309
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