Traffic-related

This page has a list of publications and news articles related to Traffic-related Air Pollution. Find more information about our research on Air Pollution.

Spring 2021 Update now available

June 9, 2021

In this issue of Update, read about a newly published HEI study suggesting health improvements from the 2006 California Goods Movement Plan; our very successful Virtual Conference webinar series in April and May; important transitions in HEI Communications; an HEI New Investigator study on mechanisms of lung injury by ozone; a two-day workshop on air pollution and health in Southeast Europe; and more.

Update Spring 2021

Newsletter

Health Effects Institute

2021

Topics:

Winter 2021 Update published

March 12, 2021

In the new issue of Update, read about Ellen Mantus, the new HEI Director of Science; HEI’s timely and targeted 2021 Virtual Conference (Sign Up Now!); five HEI studies underway on COVID-19, air pollution, and health; a transition in HEI’s Global Health program… and more!

Update Winter 2021

Newsletter

Health Effects Institute

2021

Topics:

In this issue of Update, read about Ellen Mantus, the new HEI Director of Science; HEI’s timely and targeted 2021 Virtual Conference (Sign Up Now!); five HEI studies underway on COVID-19, air pollution, and health; a transition in HEI’s Global Health program… and more!

HEI hosts virtual workshop on non-tailpipe particulate matter emissions and exposure

December 2, 2020

HEI held a virtual scientific workshop on the emissions, air quality, and exposure impacts of non-tailpipe particulate emissions from on-road vehicular traffic. Over two days of interactive sessions, participants discussed achievements and knowledge gaps in non-tailpipe emissions characterization, exposure assessment, and assessment of potential health risks.

Study compares statistical models for use in exposure assessment

March 23, 2020

HEI has published Research Report 202, Enhancing Models and Measurements of Traffic-Related Air Pollutants for Health Studies Using Dispersion Modeling and Bayesian Data Fusion, which describes a study led by Dr. Stuart Batterman at the University of Michigan, Ann Arbor and colleagues. The investigators evaluated the ability to predict traffic-related air pollution using a variety of methods and models, including a line source air pollution dispersion model and sophisticated spatiotemporal Bayesian data fusion methods.

Enhancing Models and Measurements of Traffic-Related Air Pollutants for Health Studies Using Dispersion Modeling and Bayesian Data Fusion

Research Report 202

Stuart Batterman

Veronica J Berrocal

Chad Milando

Owais Gilani

Saravanan Arunachalam

K Max Zhang

2020

Topics:

Traffic-related

Exposure Methods

Research Report 202 describes a study led by Dr. Stuart Batterman at the University of Michigan, Ann Arbor and colleagues. The investigators evaluated the ability to predict traffic-related air pollution using a variety of methods and models, including a line source air pollution dispersion model and sophisticated spatiotemporal Bayesian data fusion methods.

Winter 2020 Update now available

March 3, 2020

In this issue of HEI Update, read about our upcoming Annual Conference in April; our search for the next HEI Review Committee chair; the launch of 11 new HEI studies — four evaluating the effectiveness of air quality actions, five aiming to improve exposure assessment, and two led by our 2019 Walter A. Rosenblith New Investigators; and more.

Update Winter 2020

Newsletter

Health Effects Institute

2020

Topics:

Five new studies aim to improve exposure assessment

February 6, 2020

There are many challenges in conducting epidemiological studies of long-term exposure to air pollutants because concentrations vary widely over space and time. Read how HEI investigators will soon begin five new studies, using novel strategies to address these challenges.