In this short paper we summarize the ongoing work pertaining the use and combination of mobile phone data to characterize the spatio-temporal dynamic of the presence and the movements of people in the context of smart cities. We develop ad-hoc statistical approaches with the aim of developing small area indicators and forecasting traffic flows. The application of these strategies is related to the evaluation of flood risk in urban areas
(2023). Spatio-temporal statistical analyses for risk evaluation using big data from mobile phone network . Retrieved from https://hdl.handle.net/10446/247030
Spatio-temporal statistical analyses for risk evaluation using big data from mobile phone network
Metulini, Rodolfo;
2023-01-01
Abstract
In this short paper we summarize the ongoing work pertaining the use and combination of mobile phone data to characterize the spatio-temporal dynamic of the presence and the movements of people in the context of smart cities. We develop ad-hoc statistical approaches with the aim of developing small area indicators and forecasting traffic flows. The application of these strategies is related to the evaluation of flood risk in urban areasFile allegato/i alla scheda:
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