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Forecasting Visitors’ behaviour in Crowded Museums

2020; Volume: 5; Linguagem: Inglês

10.17815/cd.2020.82

2366-8539

Caterina Balzotti, Maya Briani, Alessandro Corbetta, Emiliano Cristiani, Marina Minozzi, Roberto Natalini, Sara Suriano, Federico Toschi,

Art History and Market Analysis

In this paper, we tackle the issue of measuring and understanding the visitors’ dynamics in a crowded museum in order to create and calibrate a predictive mathematical model. The model is then used as a tool to manage, control and optimize the fruition of the museum. Our contribution comes with one successful use case, the Galleria Borghese in Rome, Italy.