Collection of data from a variety of sources, including apps, ad networks and open data
Aggregation of data in anonymous forms and in line with privacy regulations
Monitoring of turnout and mobility flows in the EUR district
Hourly analysis of attendance peaks – the maximum attendance was recorded at the race's start time of 4pm
Assessment of where the spectators came from – mostly from the Metropolitan City of Rome, but also from other regions of Italy as well as from abroad
Analysis of the most used means of public transport – the underground was chosen by the most people (44%) – in addition to which train stations and airports were most used
Assessment of the number of spectators that visited other places of interest in Rome on race day
Optimise the range of services in response to actual demand
Better plan tourist hospitality and the positioning of info points
Efficiently organise mobility services
Improve security and the management of public infrastructure
Through the analysis of Big Data, City Analytics is the tool that provides access, in a way that's intuitive, to information, figures and scenarios useful for planning services and managing cities as effectively as possible.
Find out more about our solutions
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