Understanding the Disparities of PM2.5 Air Pollution in Urban Areas via Deep Support Vector Regression
Yuling Xia,
Teague McCracken,
Tong Liu
et al.
Abstract:In densely populated urban areas, PM2.5 has a direct impact on the health and quality of residents' life. Thus, understanding the disparities of PM2.5 is crucial for ensuring urban sustainability and public health. Traditional prediction models often overlook the spillover effects within urban areas and the complexity of the data, leading to inaccurate spatial predictions of PM2.5. We propose Deep Support Vector Regression (DSVR) that models the urban areas as a graph, with grid center points as the nodes and … Show more
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