Airbnb analysis
| Author: | Bc. Lenka Šáchová |
|---|---|
| Year: | 2022 - summer |
| Leaders: | Mgr. Petr Polák MSc. Ph.D. |
| Consultants: | |
| Work type: | Bachelors |
| Language: | English |
| Pages: | 54 |
| Awards and prizes: | |
| Link: | https://dspace.cuni.cz/handle/20.500.11956/175538 |
| Abstract: | This thesis investigates the eect of the COVID-19 pandemic on the Airbnb market in the Czech Republic. 10501 Prague listings were analysed using the method of cross-sectional logistic regression, and the key factors dierentiating the listings that remained active despite the pandemic were determined. The author indicates sixteen explanatory variables covering general information, location, space attributes and the professionality level and provides empirical evidence that the most negative influence factors were outside centre location and the accommodation types of shared and private rooms. The thesis informs on the post-pandemic situation of Airbnb market in Prague and provides a better understanding of the impact of COVID-19 on the platform. |
