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13-1 Improving Assessment of Near-Road Exposure to Traffic Related Pollution

Status: 
Not Active
Number: 
RFA 13-1

RFA 13-1 solicits applications for studies to improve quantification of the relationship between on-road motor vehicle emissions, near-road pollutant concentrations, and human exposures for health studies. RFA 13-1 provides funding for 2- to 3- year studies. 
Winter 2013 RFA booklet

How to Apply

This RFA is closed.

Ongoing studies funded under this RFA

University of Michigan

This study aims to improve estimates of concentrations of traffic-related air pollutants using source-oriented emission and dispersion models and Bayesian Melding, a novel data fusion technique that combines measured and modeled concentrations of traffic pollutants.

Status: 
In review
.  Read more...

North Carolina State University

This study is exploring how traffic activity metrics, land-use parameters, and transport of pollutants influence the near-road concentrations measured through extensive sampling campaigns.

Status: 
In review
.  Read more...

Publications from this RFA

Research Report 194
Benjamin Barratt
Martha Lee
Paulina Wong
Robert Tang
Tsz Him Tsui
Wei Cheng
Yang Yang
Poh-Chin Lai
Linwei Tian
Thuan-Quoc Thach
Ryan Allen
Michael Brauer
February 2018

HEI’s Research Report 194 describes a study led by Benjamin Barratt of King’s College London, United Kingdom, that developed a dynamic three-dimensional land-use regression model for Hong Kong and used it to estimate exposure to traffic-related air pollution.

Research Report 196
Jeremy A Sarnat
Armistead (Ted) G Russell
Donghai Liang
Jennifer L Moutinho
Rachel Golan
Rodney J Weber
Dong Gao
Stephanie Ebelt Sarnat
Howard H Chang
Roby Greenwald
Tianwei Yu
April 2018

Research Report 196, Developing Multipollutant Exposure Indicators of Traffic Pollution: The Dorm Room Inhalation to Vehicle Emissions (DRIVE) Study, describes a study by Dr. Jeremy A. Sarnat that evaluated single- and multipollutant metrics of exposure to traffic-related air pollutants near and farther away from a major highway in Atlanta, as well as biological markers in a panel of students.

Unpublished report
Edmond Seto
Elena Austin
Graeme Carvlin
Jeffry Shirai
Alan Hubbard
Katherine Hammond
Ying-Ying Meng
Michael Jerrett
Ronald Cohen
July 2018

This unpublished report describes a one-year study aimed at evaluating low-cost sensors in a dense network of near-road monitoring sites in the San Francisco Bay area. The overarching goal was to evaluate the ability of low-cost sensors to characterize traffic-related air pollution. The specific aims were to (1) colocate and compare low-cost sensors with regulatory instruments and (2) evaluate the ability of the low-cost sensors to characterize variations in traffic-related air pollution that are associated with different traffic counts. The topic of the study is of interest since the development and use of low-cost air pollution sensors are progressing rapidly, and these sensors have the potential to transform the way air pollution research is conducted.