Work

Seasonality of tourist points of interest – a big data approach

Year: 2024

Type: article

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14204318

Authors: Reif, Julian, Schmücker, Dirk

Institutions: West Coast University of Applied Sciences, Institut für Tourismus- und Bäderforschung in Nordeuropa (NIT) GmbH (Germany)

Language: English

Topic: Human Mobility and Location-Based Analysis

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6893137839

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