This article is published in the Case Study category.

Analysing Crowd Patterns and Behaviours at The Turin International Book Fair

During the five days of the 32nd edition of the Salone Internazionale del Libro di Torino, Turin’s International Book Fair, held from May 9th until May 13th 2019, LBASense sensors were deployed to analyse the visitors’ behaviours.

As part of the Horizon 2020 European project ROCK, focusing on Cultural Heritage, Turin Municipality and DFRC teamed up to deploy a system able to analyse crowds during this major Italian and international cultural event.

Born in the capital of Piedmont in 1988, the Turin International Book Fair aims at promoting culture through books, thematic workshops and conferences, concerts and exhibitions.


7 LBASense sensors were deployed at the event’s location, grouped in 4 regions to cover the different pavilions of the Fair and analyse the visitors’ behaviours and flow.

Deployment of LBASense sensors during the Turin International Book Fair 2019. ("Padiglione" refers to pavilions numbered from 1 to 4, where all sensors were located)

Peak Day

According to the data retrieved from the LBASense system, the most popular day at the Fair was the third day of the event, Saturday 11/05/2019.

Daily comparative footfall at the Turin International Book Fair, per pavilion

Peak Hour

The peak hour, on Saturday 11/05, was at 14:00, as shown by the hourly analytics from the LBASense Dashboard.

Hourly Footfall on Saturday 11/05/2019 at the Turin International Book Fair
Hourly Footfall on Saturday 11/05/2019 at the Turin International Book Fair

By comparing these results with the event’s agenda, organisers will be able to monitor which events, from the Fair’s official programme or the “Off” programme, were the most popular and attractive. They will also have the possibility to adapt their offer for the next editions of the Fair, by improving the venue’s access, or promotion in favour of less visited areas.

Interested in deploying a similar system to monitor events in your city? Contact us and we will be happy to help.



This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730280. The sole responsibility for the content of this publication lies with the ROCK project and in no way reflects the views of the European Union.


Data team

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