This study investigates the impact of Airbnb listings on land values in the Austin, Texas area, focusing on single-family homes. Using three models—ordinary least squares regression, geographically weighted regression (GWR), and Bayesian analysis—it examines spatial distribution and temporal effects on land parcel data within Travis County. Results suggest that from 2013 to 2019, higher Airbnb listings correlated with lower percentage increases in land value, particularly in northern and eastern tracts. The Bayesian model highlights the role of unobserved factors within census tracts. This research contributes by employing spatial and temporal analyses, departing from previous studies, and offering insights for policymakers into the nuanced effects of Airbnb listings on land values across different parts of cities.
