Name
Abstract | ||
|---|---|---|
This paper proposes a random walk model to analyze visitorsu0027 mobility patterns in a large museum. Visitorsu0027 available time makes their visiting styles different, resulting in dissimilarity in the order and number of visited places and in path sequence length. We analyze all this by comparing a simulation model and observed data, which provide us the strength of the visitorsu0027 mobility patterns. The obtained results indicate that shorter stay-type visitors exhibit stronger patterns than those with the longer stay-type, confirming that the former are more selective than the latter in terms of their visitation type. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s12652-019-01428-6 | Journal of Ambient Intelligence and Humanized Computing |
DocType | Volume | ISSN |
Journal | abs/1811.02918 | Journal of Ambient Intelligence and Humanized Computing (2019) |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuji Yoshimura | 1 | 14 | 2.53 |
| Sinatra Roberta | 2 | 112 | 8.65 |
| Anne Krebs | 3 | 5 | 0.87 |
| Carlo Ratti | 4 | 1211 | 113.38 |