期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 563, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.physa.2020.125448
关键词
Human mobility; Wi-Fi data; Positioning methods; Stretched exponential distribution
资金
- Netherlands eScience Center, Netherlands [027.015.001]
The study investigates human motion patterns at a large dance event, finding intermittent and persistent motion patterns among participants. It reveals that displacement distributions deviate from exponential distribution and are best fit by a stretched exponential distribution. Although no evidence of Levy walks is found, individuals exhibit directional persistence and superdiffusivity within the scale set by the stadium size.
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. (C) 2020 The Authors. Published by Elsevier B.V.
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