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Serial Article

DOI data
DOI 10.3280/rgioa3-2021oa12532
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Journal Data

Full Title
Publisher (01) FrancoAngeli
Country of publication Italy (IT)
ISSN 0035-6697
Product Form Printed Journal (JB)
ISSN 2499-748X
Product Form Online Journal (JD)

Journal Issue Data
Journal Issue Number 3
Journal Issue Designation 3
Journal Issue Date (YYYY) 2021
Serial Article Data
Title Tourism Peaks on the Three Peaks. Using big data to monitor where, when and how many visitors impact the Dolomites UNESCO World Heritage Site
By (author) (A01) Dario  Bertocchi
By (author) (A01) Nicola Camatti
By (author) (A01) Jan van der Borg
First Page 59
Last Page 81
Language of text English (eng)
Publication Date (YYYY/MM) 2021 / 09
Copyright 2021, FrancoAngeli srl
Introduction or preface (33)
Overtourism studies are increasingly focused on the relationship between tourists and residents. This includes the livability of the destination and the well-being of its residents; the growth of the tourism sector (particularly unchecked or unlimited growth), as well as the threat to natural heritage, such as beaches and mountains. A number of researchers have also highlighted the popularity of the term, as well as the lack of a theoretical understanding of the implications of it, and practical solutions to the problems posed by overtourism. This research aims to monitor the impact of, and understand the problems posed by, overtourism through approaching the phenomenon through the lens of big data analytics. The location of thisresearch is a UNESCO World Heritage site in Italy, namely the Dolomites. By using telco data, we were able to apply a big data analysis of a destination in order to monitor the movement of tourists and day visitors. By analyzing their behaviour at the destination, it has been possible to quantify daily visitors and analyse how they impact this natural site. In addition, it has beenpossible to compare statistical data with big data, which offers new insights into tourism at the destination. This research, by exploiting the value of big data in tourism, creates a heritage usage rate as well as new indicators for the measurement of overtourism. Ultimately, this can help to control tourism flows and mitigate negative externalities.