Spatiotemporal tourist behaviour forecast

Fontes, Ruta; Costa, Rui; Martins, Márcio Ribeiro; Correia, Ricardo; Carvalho, Aida

http://hdl.handle.net/10198/35481

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Authors

Fontes, Ruta

Costa, Rui

Martins, Márcio Ribeiro

Correia, Ricardo

Carvalho, Aida

Abstract(s)

This research systematically explores spatiotemporal tourist behaviour forecasting by examining and comparing traditional, machine learning, and hybrid models. Specifically, it seeks to identify key data sources, analyze their impact on prediction accuracy, and evaluate the performance of diverse analytical models. Furthermore, it investigates the practical applications of these forecasts across different areas, offering valuable insights for tourism stakeholders (Zheng et al., 2017)

URI

http://hdl.handle.net/10198/35481

Citation

Fontes, R.; Costa, R.; Martins, M. R.; Carvalho, A.; Correia, R. (2025). Spatiotemporal tourist behaviour forecast. In Book of Abstracts – DSOTT’2025: Diversity and Sustainability: Opportunities and Threats on Tourism. Coimbra:ITSA. p. 21