ABSTRACT
The rapid expansion of short-term rental platforms such as Airbnb has transformed urban tourism and housing markets worldwide. While the platform provides economic benefits and increased accommodation flexibility, concerns have emerged regarding housing availability, commercialization of residential properties, and neighborhood stability. This study examines structural patterns within Airbnb operations in New York City using the 2019 listing-level dataset. Specifically, the research focuses on three structural indicators: host concentration, spatial clustering, and turnover intensity. Using quantitative descriptive analysis and visualization techniques, the study identifies patterns of listing distribution, ownership concentration, and usage intensity across boroughs. The findings indicate signs of partial commercialization, geographic concentration of listings, and varying levels of short-term rental activity that may influence housing availability over time. The study contributes by providing a structured analytical framework that can support policymakers and researchers in monitoring housing sustainability in urban environments.
Keywords: Airbnb, Urban sustainability, Housing Availability, Host Concentration, Spatial Clustering, Turnover Intensity