Seasonality of tourist points of interest – a big data approach
We used big data from passive location events recorded by smartphones vie the wetter.com-application to determine levels of seasonality for 11 PoI in the years 2022 and 2023.We use three seasonality indicators to assess the level of seasonality: Relative TCSI, corrected Gini and the share of the top 3 weeks in a year.Results show significant differences between PoI and between years, but a high correlation between indicators. Results can be used as reference points for other research on PoI seasonality.
Institutions
- West Coast University of Applied Sciences (DE)
- Institute for Tourism (HR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-11-22
- DOI
- https://doi.org/10.5281/zenodo.14204319
- Primary Topic
- Diverse Aspects of Tourism Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00