This study empirically analyzes the spatial distribution and accessibility of tourism infrastructure in response to domestic demand for traveling with pets, diagnoses imbalances between supply and demand across regions, and proposes measures to enhanc...
This study empirically analyzes the spatial distribution and accessibility of tourism infrastructure in response to domestic demand for traveling with pets, diagnoses imbalances between supply and demand across regions, and proposes measures to enhance the effectiveness of policies for traveling with pets. To achieve this, we constructed a database of 5,129 pet-friendly facilities using data from the Korea Tourism Organization and the Korea Culture and Information Service. Demand was categorized into actual and potential demand based on travel experience and preferred regions. Analysis methods included density analysis, average nearest neighbor index (ANN), Ripley’s K function, spatial autocorrelation (Moran’s I), and dual accessibility analysis (2SFCA). The results revealed that infrastructure is concentrated in the capital area and in some tourist cities, while many regions have an insufficient supply relative to demand or poor accessibility. In particular, the 2SFCA analysis confirmed that connectivity with adjacent regions and accessibility based on living areas are key factors, rather than the simple number of facilities. This study classified regions into types based on their accessibility levels and compared the characteristics of six pet-friendly tourism cities by type. This study quantitatively diagnoses the spatial imbalance in the demand-supply structure by applying GIS-based spatial analysis techniques to the tourism sector. It provides foundational data that can contribute both practically and academically to the development of travel policies with pets and region-based tourism strategies in the future.