Analysis of visitors’ mobility patterns through random walk in the Louvre Museum
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12652_2019_1428_ReferencePDF.pdf
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Author(s)
Yoshimura, Yuji
Sinatra, Roberta
Krebs, Anne
Ratti, Carlo
Date Issued
August 28, 2019
Publisher
Springer Science and Business Media LLC
Citation
Yoshimura, Y., Sinatra, R., Krebs, A. et al. Analysis of visitors’ mobility patterns through random walk in the Louvre Museum. J Ambient Intell Human Comput 15, 1643–1658 (2024).
Version
Author's final manuscript
Abstract
This paper examines visitors’ sequential movements and their patterns in a large-scale art museum. Visitors’ available time makes their visiting styles different, resulting in dissimilarity in the order and number of visited places and in path sequence length. Since the probability of the appearance of short combinations of nodes is higher than that of long combinations of nodes, shorter path sequences tend to appear more frequently than longer path sequences. This prevents us from evaluating the strength of visitors’ mobility patterns, independent of their path sequence length. In order to solve this problem, we propose the random walk simulation model and compare the results with observed data. A random walk is a minimalistic model providing a reference line for the frequency of sequences as induced by the graph structure of the museum. The random walk simulations can therefore provide us with the probability of transitions between nodes and hence with the probability of each path of a given length. Thus, it enables us to compare the frequency of different path sequence lengths in the same framework. Our results indicate that short-stay visitors exhibit stronger patterns than long-stay visitors, confirming that short-stay visitors are more selective than long-stay visitors in terms of their visiting style. This is suggestive of the informal learning settings in which visitors shape their experiences through exploration in space.
Subjects
General Computer Science
MIT Department
Senseable City Laboratory
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1007/s12652-019-01428-6
