What affects Airbnb's
occupancy rate in
Asia Pacific?

Purpose:

To investigate the factors that affect the rooms’ high occupancy rate in Airbnb

Research scope: Used datasets of Airbnb in Beijing, Shanghai, Singapore, Sydney, Hong Kong, Tokyo, Taiwan, South Australia and Melbourne between 2019 and 2020, all which are compiled by Inside Airbnb through Python.

This project aims to identify the correlation of two speculated factors towards the occupancy rate of Airbnb using dynamic visualisation constructed by Python libraries such as plolty and ggplot

It would also hopes to answer questions such as:

  • 1) Are these factors relevant for the Asia Pacific region?
  • 2) Do these factors remain significant in determining the occupancy rate?
  • 3) Are these factors impacted by representativeness bias?

Factors

COVID-19 pandemic

First reported in Wuhan City, China in December 2019, the total number of occupied Airbnb rooms have been reduced in Asia Pacific since then.

Number of Reviews

There is a strong correlation between the number of reviews and the high occupancy rate of Airbnb

Conclusion

Do these speculated factors affect the room occupancy rate in AirBnb Asia Pacific?