Intermittent and persistent movement patterns of dance event visitors in large sporting venues
| Autor: | Peter M. A. Sloot, Michael Lees, Philip Rutten, Sander Klous |
|---|---|
| Přispěvatelé: | Computational Science Lab (IVI, FNWI), System and Network Engineering (IVI, FNWI) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
Dance Movement (music) Computer science Foraging Scale (descriptive set theory) Condensed Matter Physics 01 natural sciences Stadium Motion (physics) 010305 fluids & plasmas Bounded function 0103 physical sciences Econometrics 010306 general physics Set (psychology) Event (probability theory) |
| Zdroj: | Physica A: Statistical Mechanics and its Applications, 563:125448. Elsevier |
| ISSN: | 0378-4371 |
| Popis: | There has been a number of reports showing evidence that human movement behaviour follows patterns resembling Levy walks. These studies focus on the foraging patterns of rural humans and human hunter-gatherers. Here, we investigate motion patterns of visitors of a large dance event in the Johan Cruijff ArenA football stadium in Amsterdam. We find intermittent, persistent motion patterns. Using a path segmentation algorithm, we measure displacements (step lengths), and movement durations. We explore an alternative approach in the analysis of the movement tracks to overcome the limitations set by the bounded, concentric space of the building. Displacement distributions resulting from our alternative model deviate from the exponential and are best fit by a stretched exponential distribution. To further investigate the motion, we look at the mean-square displacement and autocorrelation of the turning angles. Although we find no evidence of Levy walks, individuals move with directional persistence and superdiffusively up to a scale set by the size of the stadium. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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