Abstract
Introduzione o prefazione
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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.
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