{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T21:32:58Z","timestamp":1762896778725,"version":"build-2065373602"},"reference-count":50,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T00:00:00Z","timestamp":1605571200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Knowledge about the spots where tourist activity is undertaken, including which segments from the tourist market visit them, is valuable information for tourist service managers. Nowadays, crowdsourced smartphones applications are used as part of tourist surveys looking for knowledge about the tourist in all phases of their journey. However, the representativeness of this type of source, or how to validate the outcomes, are part of the issues that still need to be solved. In this research, a method to discover hotspots using clustering techniques and give to these hotspots a data-driven interpretation is proposed. The representativeness of the dataset and the validation of the results against existing statistics is assessed. The method was evaluated using 124,725 trips, which have been gathered by 1505 devices. The results show that the proposed approach successfully detects hotspots related with the most common activities developed by overnight tourists and repeat visitors in the region under study.<\/jats:p>","DOI":"10.3390\/ijgi9110686","type":"journal-article","created":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T07:23:28Z","timestamp":1605597808000},"page":"686","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Density-Based Spatial Clustering and Ordering Points Approach for Characterizations of Tourist Behaviour"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7878-1471","authenticated-orcid":false,"given":"Jorge","family":"Rodr\u00edguez-Echeverr\u00eda","sequence":"first","affiliation":[{"name":"Department of Industrial Systems Engineering and Product Design, Ghent University, Technologiepark 46, 9052 Gent-Zwijnaarde, Belgium"},{"name":"Flanders Make, B-3920 Lommel, Belgium"},{"name":"Facultad de Ingenier\u00eda en Electricidad y Computaci\u00f3n, Campus Gustavo Galindo Km 30.5 V\u00eda Perimetral, ESPOL Polytechnic University, Escuela Superior Polit\u00e9cnica del Litoral, ESPOL, P.O. Box 09-01-5863, Guayaquil EC090112, Ecuador"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2795-8094","authenticated-orcid":false,"given":"Ivana","family":"Semanjski","sequence":"additional","affiliation":[{"name":"Department of Industrial Systems Engineering and Product Design, Ghent University, Technologiepark 46, 9052 Gent-Zwijnaarde, Belgium"},{"name":"Flanders Make, B-3920 Lommel, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1425-0719","authenticated-orcid":false,"given":"Casper","family":"Van Gheluwe","sequence":"additional","affiliation":[{"name":"Department of Industrial Systems Engineering and Product Design, Ghent University, Technologiepark 46, 9052 Gent-Zwijnaarde, Belgium"},{"name":"Flanders Make, B-3920 Lommel, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2707-7457","authenticated-orcid":false,"given":"Daniel","family":"Ochoa","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda en Electricidad y Computaci\u00f3n, Campus Gustavo Galindo Km 30.5 V\u00eda Perimetral, ESPOL Polytechnic University, Escuela Superior Polit\u00e9cnica del Litoral, ESPOL, P.O. 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