Date of Graduation
Master of Science in Geography (MS)
Second Committee Member
Game Theory, Geospatial Data Science, Machine Learning, Spatiotemporal Analysis
This thesis uses a geospatially-enhanced, machine learning approach to investigate variations in rental success on the peer-to-peer property sharing website Airbnb.com. Geographic factors, listing attributes and amenities, customer response metrics, and host attributes are included in decision tree modeling to predict the short-term probability of receiving a review. The most important variables in increasing model accuracy are assessed and variations in the importance of these variables investigated using Shapley values.
Wyatt, K. (2023). Airbnb Valuation: A Machine Learning Approach. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/etd/5144