Open Conference Systems, 50th Scientific meeting of the Italian Statistical Society

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Spatiotemporal Prevision for Emergency Medical System Events in Milan
Andrea Gilardi, Riccardo Borgoni, Andrea Pagliosa, Rodolfo Bonora

Last modified: 2018-05-18

Abstract


Organizing the emergency medical system in a big city is an extremelydifficult task given the huge number of people that everyday pass through the cityarea. In this paper we employ a spatio-temporal process to model the emergencyevent occurrences in Milan. The proposed approach has been found effective inpredicting events through the city area and computationally efficient despite the bigamount of data to be processed.

L’organizzazione di un servizio di emergenza sul territorio risulta essereun compito complesso nelle aree metropolitane come Milano dato l’enorme numerodi persone che vi transitano quotidianamente. In questo lavoro si adotta un modellospazio temporale per rappresentare la dinamica delle chiamate di emergenzasul territorio del capologuo Lombardo. Il metodo adottato si ´e dimostrato essereefficace nel prevedere gli eventi sul territorio comunale nel periodo di tempo consideratoe computazionalmente efficiente nonostante la consistente mole di dati daelaborare.


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