Using mobile phone data to determine spatial correlations between tourism facilities

Abstract Mobile phone data provide a more complete and accurate description of tourism transportation demand than traditional and Internet data sources. In this paper, a framework is proposed to determine spatial correlations between tourism destinations, rest places, and transportation hubs based on mobile phone data. Firstly, nine rules for identifying visitors based on four spatial and temporal features are established. Then, the spatial correlations are analyzed from three aspects. A case study of Shanghai is carried out to verify the proposed methodology, and the addition of a tour bus network based on the evaluation of transportation accessibility is discussed. It is concluded that tourists tend to rest near next-day destinations and choose transportation hubs in the city center. The rest places that are sightseeing destinations, amusement parks, and convention centers exhibit polycentric characteristics. The research framework and results of this study are useful for tourism transportation planning.

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