Can lesser-known Points of Interest be a solution for mitigating overtourism? The case of Val Gardena, Italy

Adriana Pompejano (), Bianca Tescașiu, Sébastien Laborie () and Maxime Masson ()
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Adriana Pompejano: LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour - UPPA - Université de Pau et des Pays de l'Adour, UPPA - Université de Pau et des Pays de l'Adour, Transilvania University of Brasov
Bianca Tescașiu: Transilvania University of Brasov
Sébastien Laborie: LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour - UPPA - Université de Pau et des Pays de l'Adour, UPPA - Université de Pau et des Pays de l'Adour
Maxime Masson: LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour - UPPA - Université de Pau et des Pays de l'Adour, UPPA - Université de Pau et des Pays de l'Adour

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Abstract: This research proposes an interdisciplinary framework to address the issue of overtourism in mountain regions, using Val Gardena in the Dolomites as a case study. It is proposed that the excessive concentration of visitors could be mitigated by promoting lesser-known points of interest through the principles of slow tourism. Our framework is based on a four-phase structure that integrates geographic data, digital footprints, and insights from local stakeholders to map the territory. Through an analysis operating at both a macro-regional and micro-individualPOI level, the carrying capacity of well-known and lesser-known locations can be evaluated to prevent environmental degradation. The ultimate goal is the development of recommender systems that prioritize ecological sustainability over algorithmic popularity, helping tourism organizations redistribute flows in a more balanced manner.

Keywords: Decision support System; Overtourism; Slow tourism; Lesser-known POIs; Points of interest; Territorial marketing; Sustainability (search for similar items in EconPapers)
Date: 2026-03-26
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Published in Proceedings of the 20th International Conference on Business Excellence 2026: Driving competitive advantage through AI and digital ecosystems, Society for Business Excellence (SBE); Bucharest University of Economic Studies (ASE), Mar 2026, Bucarest, Romania

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05585940

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