This working paper demonstrates a data-driven approach to identify overtourism signals in tourist destinations, suggesting potential governance strategies.
This is the author’s self-archived version of a working paper accepted through double-blind peer review and presented at the ENTER26 eTourism Conference, held in January 2026 in Breda, The Netherlands. The paper was published in ENTER26 Working Paper Proceedings (Version 1.0), edited by Peter O’Connor, Mattia Rainoldi, and Julia Neidhardt, and appears on pp. [141–146] of the proceedings volume published by the International Federation for Information Technology and Travel & Tourism (IFITT). The proceedings are distributed under the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) license.
No takes yet. Share an insight, caveat, or question.
Arruda et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: