1/2020 to 5/2021
The spatial autocorrelation analysis (Local Indicators of Spatial Association) is used to identify statistically significant clusters and outliers based on German municipalities and travel areas. The results should help to better understand the spatial dimension of Airbnb in Germany. In comparison with other data, e.g. from official accommodation statistics, this opens up new possibilities for understanding tourism demand and its spatial effects.
The aim of the project is to determine statistically significant spatial clusters of supply and demand for Airbnb throughout Germany. In the case of major German cities, the research also focuses on inner-city spatial concentration.
West Coast University of Applied Sciences
German Institute for Tourism Research
Fritz-Thiedemann-Ring 20
25746 Heide
