Master of Science in Business Analytics
Master of Science in Business Analytics
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2021-2022
Airbnb: Enhancing Your Listing
Student Team
Hayden Hancock, Jared Herrera, Kian Hosseinpour, Cameron Iwanaga, Reid Winchester
Faculty Advisors
Dr. Shuo Zeng, Dr. Yuanjie He
Purpose
This paper works to investigate different Airbnb listings within the 2019 calendar year from Los Angeles County. The study investigates increasing revenue for listings, aiming to help new investors in the short-term rental market.
Study Design/Methodology/Approach
Los Angeles County can be distinguished by three geographical regions: Suburban, Urban and Coastal. The study was performed from an investor’sperspective looking to purchase an entire home. A data driven approach was taken to analyze over 43,000 listings within the market, which was reduced to approximately 7,000 listings within our geographic regions.
Findings
Our research recognizes maximal revenues from hosts with the superhost badge, when looking at the highest unit price and highest occupancy rate. When sorted into geographical regions, there are different trends in the values consumers place in certain categories of amenities. The specific categories of amenities that consumers valued more at each location turned out to be a far more significant driver in increasing the occupancy rate of the listings than the total number of generalized amenities.
Originality/Value
Our research brought a unique approach in finding listings from specific geographic locations within Los Angeles County to find what key features provided increased revenue for future investors.
Practical Implications
Hosts should be aware of the amenities that they choose to invest in. This is partially dependent on the geographical location of a listing. With additional data such as real estate and customer demographics, this topic could be expanded into a deeper recommendation business model.
Keywords
Airbnb, Short Term Rentals, Los Angeles County, Amenities, Superhost, Data, Analysis.