Airbnblerin Mekânsal Dağılışında Etkili Olan Faktörlerin Mekânsal Analizi: Kaş-Kalkan Örneği (Spatial Analysis of Factors Influencing the Spatial Distribution of Airbnbs: The Case of Kaş-Kalkan)
DOI:
https://doi.org/10.21325/jotags.2024.1506Keywords:
Spatial analysis, Spatial statistics, Geographic Information Systems, Tourism geography, Sharing economy, Kaş, KalkanAbstract
Nowadays, emerging technologies not only transform the way people work and move in urban areas, but also change their perceptions of leisure and tourism. Shared accommodation, which was initially popular in cities, has recently become more common in tourism regions. This study aims to analyze the spatial distribution of secondary residences in Kaş, which have emerged due to the sharing economy and evolved into alternative accommodations for tourism. The study also seeks to identify the factors that influence this distribution. In the context of the research, we analyzed over 18,000 Airbnb listings within the district boundaries of Kaş using statistical and spatial methods. These methods included Kernel Density Analysis, Spatial Autocorrelation (Moran's I), Local Indicators of Spatial Association (LISA), and Network Analysis.The study findings show that in Kaş, the main factors influencing the distribution of Airbnb properties are their proximity to the sea, access to beaches and coves, accessibility to historical sites, and their proximity to the city centre.
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