Grantee Research Project Results
Evaluating the Timeline of Particulate Matter Exposure from UrbanTransportation and Land-Use Greenhouse Gas Mitigation Strategies Using aNovel Modeling Framework
EPA Grant Number: R835885Title: Evaluating the Timeline of Particulate Matter Exposure from UrbanTransportation and Land-Use Greenhouse Gas Mitigation Strategies Using aNovel Modeling Framework
Investigators: Rowangould, Gregory
Institution: University of New Mexico
Current Institution: University of Vermont
EPA Project Officer: Keating, Terry
Project Period: January 1, 2016 through December 31, 2018 (Extended to December 31, 2021)
Project Amount: $335,605
RFA: Particulate Matter and Related Pollutants in a Changing World (2014) RFA Text | Recipients Lists
Research Category: Air , Climate Change , Early Career Awards
Objective:
The aim of the proposed research is creating a clearer picture of how changes in land-use patterns and transportation systems affect population exposure to particulate matter (PM) pollution from vehicle traffic. The research also aims to understand how the timing of land-use and transportation system changes, particularly those strategies intended to mitigate climate change, affect greenhouse gas (GHG) emissions and cumulative exposure to PM emissions. Finally the research will consider how well changes in PM emission inventories, which are widely used to assess improvements in air quality, correspond to changes in PM exposure.
Approach:
These aims will be addressed by developing a novel integrated land-use/transportation/vehicle emission/exposure modeling framework that can map changes in exposure across space and time that result from strategies developed to mitigate GHG emissions. Exposure will be estimated by considering the concentration of PM at locations were people spend the majority of their time and also by accumulating each individual’s daily exposure to PM by simulating their daily travel patterns though a modeled spatially and temporally resolved PM concentration surface. The two exposure approaches are developed to work with the two most common travel demand modeling approaches currently used by regional transportation planning agencies: trip based and activity based travel demand models. Land-use and transportation planning scenarios aimed at mitigating climate change that are being developed by regional planning agencies in the Albuquerque, New Mexico and Atlanta, Georgia metropolitan areas will be evaluated. The research team will also create and evaluate additional planning scenarios that incorporate different packages of common and emerging GHG mitigation strategies.
Expected Results:
The project will provide a new way for researchers and decision makers to evaluate particulate matter emissions exposure across space and through time that may occur from climate change mitigation strategies and other land-use and transportation planning decisions. The research will also provide new information about how the timing of climate change mitigation strategies and other land-use and transportation system changes affects GHG emissions and cumulative PM exposure. The equity of PM exposure will also be evaluated across space and throughout time to evaluate environmental justice concerns.
Publications and Presentations:
Publications have been submitted on this project: View all 16 publications for this projectJournal Articles:
Journal Articles have been submitted on this project: View all 6 journal articles for this projectSupplemental Keywords:
Dispersion Modeling, Mobile Sources, Travel DemandProgress and Final Reports:
The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.
Project Research Results
- Final Report
- 2020 Progress Report
- 2019 Progress Report
- 2018 Progress Report
- 2017 Progress Report
- 2016 Progress Report
6 journal articles for this project