BusinessMafia Proposal
Revision as of 12:55, 4 March 2019 by Jiakhee.lim.2015 (talk | contribs)
Contents
Project Motivation
Airbnb has been democratic in providing its data access to the public for potential analysis. However, there is a lack of an aggregated platform to distill this mass of data into information that allow Airbnb hosts better understand the demands of the travelers coming into their city. Certain Airbnbs possess higher occupancy rates than others, the factors affecting it also differ from city to city and culture to culture. The reasons for visiting and type of travelers attracted also differ; as certain cities may attract more business travelers seeking comfort, while others attract backpackers looking for an affordable bed and breakfast accommodation.
With this in mind, our team is delving into the landscape of Seattle, Washington in United States to identity relationships and spatial patterns affecting the occupancy rate of Airbnbs in Seattle. We aim to help hosts better understand the demands of the travelers coming into their city, and how they can therefore increase their occupancy rates.
Project Objective
Through the project, we aim to:
- Identify airbnb hotspots and coldspots in Seattle
- Analyse the spatial relationships and patterns in Airbnb occupancy rate
Our Starting datasets
| Data | Source | Data Type |
|---|---|---|
Literature Review
Our Approach
