Spatial analysis of Airbnb apartment locations in Prague
|Author:||Bc. Filip Kroutil|
|Year:||2021 - summer|
|Leaders:|| Mgr. Barbara Pertold-Gebicka M.A., Ph.D.
|Work type:|| Bachelors
|Awards and prizes:|
|Abstract:||This paper investigates the determinants of the spatial distribution of Airbnb listings in Prague,
the capital city of the Czech Republic, and compares it with the distribution of traditional
accommodation units such as hotels. The analysis is based on two datasets, one containing all
14 864 Airbnb listings in Prague in November 2019 and the other including a snapshot of 864
hotels from March 2020. Local indicators of spatial association and traditional OLS regression
were used to study the determinants and differences between the distributions. The results show
a simpler and more centered distribution in the case of Airbnb units. The study also provides a
model describing Airbnb density in each municipal district with high predicting power. Insights
from this thesis could help understand the principles behind Airbnb dispersion and so create a
basis for future regulations of this relatively new market segment.