An Environmental Data Science Solution for Data Analytics Exploration of Traffic Interaction on Air Quality

In this technological and data-driven world that we live in, the analysis of large volumes of rich and diverse big data has led to the discovery of useful information and knowledge. Some real-life applications of big data include healthcare, video games, stocks, and business analytics. The analysis of big data can also be used for improving environmental sustainability. The polluted environment in cities is often cited as one of the main factors affecting human health. The emission of greenhouse gases from vehicles may contribute to the pollution in urban areas. In this paper, we present a big data science solution to analyze the interactions between urban factors and air quality via data mining. In particular, this paper focuses on real-world traffic data to support our analysis. These results can be used to help propose clear, actionable measures, such as green infrastructure and zoning regulations.