Abstract
This study aims at assessing runner’s TRAP exposure to PM2.5, PM10, and NO2 along alternative travel routes in the City of College Station, where Texas A&M University is located. The study attempts to bridge a gap in the literature by employing emerging low-cost sensor technology to implement a community-based air quality monitoring approach and study the relationship between exposure levels to air pollution, and influence of key parameters (traffic, meteorology, and route taken etc.) In recent years, emerging wearable low-cost sensors have offered the possibility to cover larger samples and provide time-specific contribution based on crowd-sourced data and this has the potential to revolutionize the way air pollution data has been collected and reported. The goal of this study is to use micro/low-cost sensors to implement a community-based air quality monitoring approach to enhance traditional air quality monitoring. Real-time air quality maps that will be developed will help to better understand actual exposure experienced by runners and use the findings for outreach and communication.
Research Investigators (PI*)
Suriya Vallamsundar*, Texas A&M Transportation Institute
Jeremy Johnson, Texas A&M Transportation Institute
Benjamin Ettelman, Texas A&M Transportation Institute
Project Information
Start Date: 01/01/2021
End Date: 08/31/2022
Status: Active
Grant Number: 69A3551747128
Source Organization: CARTEEH UTC
Project Number: TTI-05-36
CARTEEH Focus Area(s)
Sponsor
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC 20590 United States
Performing Organization
Texas A&M Transportation Institute
1111 RELLIS Parkway
Bryan, Texas 77807
