Museums often suffer from so-called "hyper-congestion", wherein the number ofvisitors exceeds the capacity of the physical space of the museum. This canpotentially deteriorate the quality of visitor's experience disturbed by othervisitors' behaviors and presences. Although this situation can be mitigated bymanaging visitors' flow between spaces, a detailed analysis of the visitor'smovement is required to fully realize and apply a proper solution to theproblem. This paper analyzes the visitor's sequential movements, the spatiallayout, and the relationship between them in large-scale art museums - LouvreMuseum - using anonymized data collected through noninvasive Bluetooth sensors.This enables us to unveil some features of visitor's behavior and spatialimpact that shed some light on the mechanism of the museum overcrowding. Theanalysis reveals that the visiting style of short and long stay visitors arenot as significantly different as one could expect. Both types of visitors tendto visit a similar number of key locations in the museum while the longer staytype visitors just tend to do so more extensively. In addition, we reveal thatsome ways of exploring the museum appear frequently for both types of visitors,although long stay type visitors might be expected to diversify much more giventhe greater time spent in the museum. We suggest that thesesimilarities/dissimilarities make for an uneven distribution of the quantity ofvisitors in the museum space. The findings increase the understanding of theunknown behaviors of visitors, which is key to improve the museum's environmentand visiting experience.
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