International tourism and high-speed rail mobility: Evidence from Mobile network data at Florence Santa Maria Novella

Tourism has been a widely studied phenomenon for many years, using established methodologies and official statistics derived from surveys or accommodation registers. There are also studies that explore tourism linked to mobility, such as surveys on international tourism. This study aims to further explore this phenomenon by approaching it from a new perspective, investigating the dynamics linking international tourism and the presence of a high-speed rail hub in a destination. The study was conducted using mobile phone big data, from which foreign travellers who had made at least one train journey to or from Florence S.M.N. station were identified, analysing points of entry and exit from Italy, the various Italian tourist destinations visited, and excursion routes within the Tuscany region.

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Publication Details

Journal
Statistical Journal of the IAOS
Published
2026-09-16
DOI
https://doi.org/10.1177/18747655261487344
Primary Topic
Aviation Industry Analysis and Trends
Type
article
Field-Weighted Citation Impact
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article

International tourism and high-speed rail mobility: Evidence from Mobile network data at Florence Santa Maria Novella

Lorenzo Vannacci, D. Di Sorte, Mario Tartaglia, Bruno Zamengo et al.
Statistical Journal of the IAOS
Aviation Industry Analysis and Trends
article

International tourism and high-speed rail mobility: Evidence from Mobile network data at Florence Santa Maria Novella

Lorenzo Vannacci, D. Di Sorte, Mario Tartaglia, Bruno Zamengo, Andrea Zaramella, Alessandro Cicco, Luigi Mancino, Eddie Rossi, Chiara Bonvicini, Luigi Galieni
article en

Abstract

Tourism has been a widely studied phenomenon for many years, using established methodologies and official statistics derived from surveys or accommodation registers. There are also studies that explore tourism linked to mobility, such as surveys on international tourism. This study aims to further explore this phenomenon by approaching it from a new perspective, investigating the dynamics linking international tourism and the presence of a high-speed rail hub in a destination. The study was conducted using mobile phone big data, from which foreign travellers who had made at least one train journey to or from Florence S.M.N. station were identified, analysing points of entry and exit from Italy, the various Italian tourist destinations visited, and excursion routes within the Tuscany region.

Statistical Journal of the IAOS
Vodafone (Italy) (IT), Trenitalia (Italy) (IT), Istituto di Genomica Applicata (IT)
Decent work and economic growth
Openalex Percentile: Top 5%
Aviation Industry Analysis and Trends
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