Federico Delussu
Department of Applied Mathematics and Computer Science, Danish Technical University, Copenhagen, Denmark
Fri, Dec 6, 2024
4:30 PM UTC
Fri, Dec 6, 2024
4:30 PM UTC
In-person
4 Thomas More St
London E1W 1YW, UK
London E1W 1YW, UK
The Roux Institute
Room
100 Fore Street
Portland, ME 04101
Portland, ME 04101
Network Science Institute
2nd floor
2nd floor
Network Science Institute
11th floor
11th floor
177 Huntington Ave
Boston, MA 02115
Boston, MA 02115
Room
58 St Katharine's Way
London E1W 1LP, UK
London E1W 1LP, UK
Talk recording
In this work, we study individual pollution exposure and its relationship with human mobility using large-scale behavioral data collected from smartphones and wristbands. In particular, we estimate PM2.5 exposure by employing GPS trajectories of approximately 500,000 individuals and global PM2.5 concentration data, aiming to explore the relationship between human mobility behavior and pollution exposure. We compare home-based and mobility-based exposure estimates and, following WHO 2021 guidelines, investigate how mobility-based risk changes with respect to residential estimates and conduct an individual stratification analysis to examine the role of socio-economic factors, aiming to identify high-risk classes of individuals and quantify disparities in pollution exposure. Finally, we analyze weekly patterns of mobility impact on exposure to examine how exposure differs between weekdays and weekend.
About the speaker
Federico Delussu holds an M.Sc. in Physics of Complex Systems from the University of Turin. After completing his master's degree, he conducted research in data science, focusing on applications related to smart cities, human mobility, and epidemiology. He is currently a Ph.D. student at the Danish Technical University, working under the supervision of Professor Laura Alessandretti. His research focuses on analyzing the connections between air pollution, physical activity, and human mobility using large-scale behavioral data.
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