ICA-Proc Proceedings of the ICA ICA-Proc Proc. Int. Cartogr. Assoc. 2570-2092 Copernicus Publications Göttingen, Germany 10.5194/ica-proc-4-90-2021 A social media-based framework for tourist behaviour analysis and characterization in urban environments Porras-Bernardez Francisco 1 Gartner Georg 1 https://orcid.org/0000-0003-2002-5339 Research Group Cartography, TU Wien, Vienna, Austria 03 12 2021 4 90 Copyright: © 2021 Francisco Porras-Bernardez 2021 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://ica-proc.copernicus.org/articles/ica-proc-4-90-2021.html The full text article is available as a PDF file from https://ica-proc.copernicus.org/articles/ica-proc-4-90-2021.pdf

Tourism is a very important and fast growing industry worldwide that has generated 25% of all global net new jobs during the last 5 years. New tools can be valuable for relaunching the sector and provide alternative analysis and segmentation capabilities to organizations involved. We present an analysis and visualization framework for tourist behaviour study and segmentation based on tested methods and technologies, combined and extended in an innovative way. Our framework uses Flickr data as input and classifies users according to country of origin. Then, urban distribution patterns are obtained in two different spatial levels by using [Network] Kernel Density Estimation in 1D and 2D spaces, as well as spatial clustering with HDBSCAN. Basic Natural Language Processing is applied to extract and visualize semantics generated in the social media platform and a visualization of typologies of Points of Interest by nationality is proposed for the development of tourism dashboards. We have applied our framework to three European cities of different size to test the segmentation capabilities of the approach. Results suggest a good potential for tourism management in urban environments.