It seems obvious that the Corona Pandemic, which finally seems to be coming to an end, has had the result of strongly reduced travel and overnight stays. Both locally and nationally. However, nothing could be further from the truth. There are certainly Airbnb hosts who have benefited from the Corona Pandemic. This project focusses mainly on the following research question: "Which types of rooms in which neighborhoods benefited the most from the Corona Pandemic in London, United Kingdom?" However, later on the content of this project can be used for research on this topic for any other city. This research will be assessed based on three elements: (1) the number of listings, (2) the score of the reviews and/or (3) price increases. To concretize the research, the different (1) room types and (2) neighborhoods are considered.
The aforementioned research question is based on the available data from the Airbnb dataset. Initially, the research is done using the Airbnb dataset selection from London, United Kingdom. To build a specific GitHub set, based on the 124 room types-neighborhood combinations. However, the research will be delivered in such a way that any city - out of Airbnb's dataset - can be filled in to arrive at the requested data.
This research benefits three stakeholders: (1) potential Airbnb hosts, (2) current Airbnb hosts looking to expand their supply and (3) Airbnb itself. The former can gain insight into their preferred city to what type of room they can most effectively offer and in which neighborhood. In so doing, they can best match the changes from the Corona Pandemic to the needs of the traveler. Airbnb can gain insight into supply and demand, adjust to it in whatever way it can, and also advertise more optimally on its website and app.
Finally, the team decided to compare the beginning of 2021 with the end of 2021. Whereas for many countries the Corona Pandemic played a huge role in daily life at the beginning of 2021, this was much less the case at the end of 2021. For example, the relaxation of strict measures in the United Kingdom from July 18, 2021 (Gutiérrez, P., Duncan, P., Kirk, A., Robyn, M., McIntyre, N., Thomas, T., Blights, G., 2021). Due to limitations in the dataset, it is not possible for this research to compare different years.
As mentioned above, this research will focus on the conbinations of room types and neighborhoods in London, United Kingdom. To be more precise 124 different room types-neighborhood combinations. The number of bookings, the score of the reviews and price increases will be used as explanatory variables in this research. Since the dependent variable in this research (124 room types-neighborhood combinations in London, United Kingdom) is a nominal variable, and the independent variables (number of listings, rating score, price) are metric variables, the method used in the research will be Logistic Analysis.
Literature:
- Gutiérrez, P., Duncan, P., Kirk, A., Robyn, M., McIntyre, N., Thomas, T., Blights, G. (2021). Covid: how has the pandemic changed in the UK in 2021? [Article] Retrieved from: https://www.theguardian.com/world/ng-interactive/2021/dec/22/covid-how-has-the-pandemic-changed-in-the-uk-in-2021
- Institute Of Government (2022). Overview on the Corona Measures in the UK Retrieved from: https://www.instituteforgovernment.org.uk/charts/uk-government-coronavirus-lockdowns
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