Visitors flow management at Uffizi Gallery in Florence, Italy

Alessandro Attanasio (), Maurizio Maravalle (), Henry Muccini (), Fabrizio Rossi (), Gianluca Scatena () and Francesco Tarquini ()
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Alessandro Attanasio: University of L’Aquila, Via Vetoio
Maurizio Maravalle: University of L’Aquila, Via Vetoio
Henry Muccini: University of L’Aquila, Via Vetoio
Fabrizio Rossi: University of L’Aquila, Via Vetoio
Gianluca Scatena: University of L’Aquila, Via Vetoio
Francesco Tarquini: University of L’Aquila, Via Vetoio

Information Technology & Tourism, 2022, vol. 24, issue 3, No 4, 409-434

Abstract: Abstract We present a data-driven solution to manage visitors’ access at the Uffizi Gallery in Florence, Italy. The goal is to avoid the long lines outside the Museum, improving not only visitors’ experience, but also decency and security in the urban area. The solution implements a queue management system based on two data analytics models, one predictive and one prescriptive, which determine the entry time of each visitor. The system, which requires a minimal hardware and software infrastructure, was on the field from October 2018 to January 2020 during the most crowded visiting days, namely the free access days. First we report on the whole design and implementation process, then we show the solutions effectiveness and discuss the lesson learned.

Keywords: Access management; Cultural tourism; Predictive analytics; Prescriptive analytics; Queue management system; Smart cities (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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DOI: 10.1007/s40558-022-00231-y

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