Impact of Highway Traffic on Air Quality and Respiratory Health

The relationship between highway traffic and air quality is often overlooked. However, highway traffic can significantly impact air quality, leading to increased levels of pollutants such as nitrogen oxides (NOx), particulate matter (PM), and volatile organic compounds (VOCs). These pollutants can have serious health effects, particularly for vulnerable populations such as children, the elderly, and those with pre-existing respiratory conditions. The health impacts of highway traffic can be particularly pronounced in low-income and minority communities, which are often located near major highways and transportation corridors. These communities may be exposed to higher levels of air pollution, leading to increased rates of respiratory illnesses such as asthma and chronic obstructive pulmonary disease (COPD).

NYSERDA, in collaboration with the Climate Working Justice Group (CWJG) and the CLCPA, have provided a rich dataset for categorizing disadvantaged communities for 2023. Factors such as pollution exposure, historical disinvestment of land, climate vulnerabilities and socioeconomic factors provide a chance to map varying economic and environmental conditions in New York State. This project aims to visualize these disparities and empower policymakers and community members to better understand the challenges.

In this project, we will look at six variables that are associated with highway traffic and air quality. The variables are:

  • Pollution Exposures: Number of Vehicles, Highway Truck Traffic
  • Outputs: Particulate Matter 2.5, Benzene Concentration
  • Effects: Asthma and COPD Emergency Department Visits
A toggle switch allows you to find areas with high levels of of benzene and particulate matter 2.5.

Benzene Concentration (%) 0%
Particulate Matter 2.5 (%) 0%
PM 2.5
Benzene
Number of Vehicles
Highway Truck Traffic
Asthma ED Rate
COPD ED Rate

This project is the final project for GTECH 78534, offered at CUNY Hunter College.
It was also funded by the Masters of GeoInformatics program as part of my mentored research.