EDF and our partners are working to better understand air pollution, its behavior and its impact on our health. As part of that effort, we are working in cities across the globe to test new methods. Our teams are learning what works, what kinds of resources are required and how to scale these efforts to empower more cities get involved.

Collaborative efforts, rooted in science

Starting with our first study in Oakland, EDF has convened a diverse group of partners from industry, academia, local government, health care and community environmental justice organizations who are informing our approach and helping us better understand our findings. These efforts have already produced a series of peer-reviewed studies and user-friendly maps that are supporting local organizations, air pollution managers and policymakers create and implement solutions to reduce pollution.

  • Explore Our Findings

    Visit our case studies on Oakland, London and Houston and learn how we’re expanding our work to Salt Lake City, China, Mexico, India and beyond.

    Explore Now
  • Houston ship channel
    Houston ship channel

Research supported by EDF’s Global Clean Air program

Assessing the Distribution of Air Pollution Health Risks within Cities: A Neighborhood-Scale Analysis Leveraging High-Resolution Data Sets in the Bay Area, California (March 2021)

Characterizing Elevated Urban Air Pollutant Spatial Patterns with Mobile Monitoring in Houston, Texas (January 2020)

A Distributed Network of 100 Black Carbon Sensors for 100 Days of Air Quality Monitoring in West Oakland, California (June 2019)

High-spatial-resolution mapping and source apportionment of aerosol composition in Oakland, California, using mobile aerosol mass spectrometry (November 2018)

Mapping Air Pollution with Google Street View Cars: Efficient Approaches with Mobile Monitoring and Land Use Regression (October 2018)

Observing local CO2 sources using low-cost, near-surface urban monitors (September 2018)

High-resolution mapping of traffic related air pollution with Google street view cars and incidence of cardiovascular events within neighborhoods in Oakland, CA (May 2018)

Robustness of intra urban land-use regression models for ultrafine particles and black carbon based on mobile monitoring (September 2017)

High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data (June 2017)

Comparison of Ultrafine Particle and Black Carbon Concentration Predictions from a Mobile and Short-Term Stationary Land-Use Regression Model (November 2016)

Maximizing Health Benefits and Minimizing Inequality: Incorporating Local-Scale Data in the Design and Evaluation of Air Quality Policies (2011)