The phenomenon of short-term house rentals has rapidly developed in recent years. The most well-known platform offering primarily short-term rentals is “Airbnb”. Initially, the platform allows hosts to rent out accommodations (apartments, houses, or even rooms). The platform allows users to filter accommodation options based on several factors, including cost per night, property category, user feedback, and proximity. The factors influencing the demand in terms of location and setting the spatial distribution of Airbnb properties have been the subject of many studies. These factors include, among others, social, economic, and demographic aspects, as well as considerations of accessibility, the location and attractiveness of popular areas, and the characteristics of the available accommodations. This paper provides an overview of the methods used in previous research papers to analyze the spatial distribution of Airbnb properties and compares the findings. By offering a structured comparison, this article aims to provide an integrated understanding of the spatial dynamics that drive Airbnb property distribution.
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