Characterization of daily tourism behaviors based on place sequence analysis from photo sharing websites

Over the past six decades, tourism becomes one of the largest and fastest-growing economic sectors in the world. Since tourist stays are generally of short duration, it may be interesting to characterize daily behaviors of tourists. Based on geo-located information left by tourists on community websites of photo-sharing, we propose an original approach to characterize daily behaviors of tourists by analyzing sequences of places visited by tourists per day. We concretely experimented our approach with data from Instagram about tourism arrivals in Paris in June 2014.