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Sakurako Tanida, Kana Fuji, Tetsuya Hiraiwa, Makiko Nonomura, Masaki Sano,
Managing the flow and density of attendees at international conferences, exhibitions, and other large-scale events is essential to creating an engaging atmosphere while minimizing the downsides of excessive crowding. To achieve this, it is crucial to quantitatively assess how people perceive congestion. However, the way attendees interpret and experience crowding at large-scale events has not been thoroughly explored. This research is the first to conduct a quantitative comparison between perceived congestion and measured crowd levels at events with over 10,000 participants.
Over the course of three years, we carried out surveys and Bluetooth-based mobility analyses at large-scale events hosted at Tokyo Big Sight, one of Japan's leading venues for exhibitions and conferences. The surveys gathered data through three methods: participants provided open-ended answers about the times they felt congestion, identified congested areas on maps, and selected photos that they felt best represented the crowd density. Concurrently, trajectory data collected via beacons distributed to attendees was used to analyze when, where, and how intensely crowding occurred.
By comparing the survey responses with the beacon data, the study found that participants could accurately pinpoint the most crowded times and locations. However, the correlation between their selected crowd-density photos and actual congestion levels was weak, suggesting that crowd perception is influenced by factors other than the physical density. Furthermore, reported times of perceived crowding often aligned more closely with participants’ departure times rather than the periods of highest congestion, indicating that recent experiences play a significant role in shaping these perceptions.
This research sheds light on how individuals perceive and recall crowding, offering actionable insights for optimizing crowd flow and density management in event planning. By addressing congestion near departure times, organizers can enhance attendee experiences while ensuring safety and efficiency. The findings lay the groundwork for developing effective strategies to balance the benefits of large gatherings with the challenges of crowd management.
Sakurako Tanida, Kana Fuji, Tetsuya Hiraiwa, Makiko Nonomura, Masaki Sano,
Organoids are self-organizing cells that are grown from stem cells in vitro and are widely used to model organ development and disease. In organoids, while cell growth and hence proliferation are mechanically constrained due to the geometrical requirements to keep maintaining the cell cluster, various morphologies of organoids are achieved. However, it remains elusive how such mechanical constraint can affect organoid growth and the final morphology. In this study, we investigate the influences of mechanical constraint on organoid morphogenesis by numerical simulations with a multicellular phase-field model. In this mathematical model, we can isolate out mechanical interaction from other biological processes. More specifically, we examine the pattern formations of organoids emerging when changing luminal fluid pressure and proliferation time. Even if most organoids seem to be the same in the initial phase, they have distinctive features in the later phase in this numerical model. The patterns in the later phase include spheroid-like shape, star-like shape, and so on. Although all cells have identical natures, in the star-like organoid, cells that can divide are spatially fixed and show behavior like spontaneous differentiation. Classifying the patterns of organoids by several indexes, we discuss the mechanisms which generate the different pattern.
Sakurako Tanida
Elevators can be regarded as oscillators driven by the calls of passengers who arrive randomly. We study the dynamic behavior of elevators during the down peak period by simulation and analytical calculation. We assume that new passengers arrive according to a Poisson process on each floor and call the elevators to go down to the ground floor. We numerically examine how the round trip time depends on the inflow rate of passengers on each floor and reproduce it by an equation considering the combination of floors where call occurs. We also examine the degree of the synchronization of two elevators by setting an order parameter.
Sakurako Tanida, "Dynamic behavior of elevators under random inflow of passengers", PhysRevE, 2021
URL: https://journals.aps.org/pre/abstract/10.1103/PhysRevE.103.042305
DOI: 10.1103/PhysRevE.103.042305
Sakurako Tanida, Ken‘ya Furuta, Kaori Nishikawa, Tetsuya Hiraiwa, Hiroaki Kojima, Kazuhiro Oiwa, Masaki Sano
Collective motion is ubiquitous in biological systems of all sizes, from fish school to cell tissue. Although the materials of moving particles are different, they often show common dynamical orders such as nematic alignment and cluster. This suggests that there are common mechanisms of collective motion regardless of particle compositions. However, the collective behavior of the condensed particles cannot be derived. In this study, to investigate the relation between steric interaction and pattern of collective motion, we observed high density motility assay of microtubules gliding of kinesin-coated glass surface. In this experiment, strength of steric interaction can be changed owing to a novel treatment of the glass surface.
We found that strong steric interaction produces perfect alignment of a pair of colliding filaments but nonetheless prevents global alignment and rather forms clusters. Surprisingly, weaker steric interactions that allow microtubules to overlap can form global alignment. To explain this discrepancy of microscopic and macroscopic alignment behaviors, statics of binary collision of microtubules were examined. It appears that a pair of microtubules change their orientation nematically after collision in both strong and weak steric interaction cases. Based on this result, numerical simulations were also performed, which reproduced this observation. Furthermore, our experimental system showed various other collective behaviors, including order-disorder coexistence, global rotation, and looping.
In previous studies on collective motion in various systems, such as bacteria gliding on agar, bacteria swimming in thin chambers and cytoskeletal filaments driven by motor proteins, global aligning or clustering patterns have been reported. These two patterns are discernible by nematic order and density distribution, although the symmetries of particles of motion and alignment interaction in those system are the same. Our study shows this difference of pattern can be produced by the subtle difference of steric interaction, i.e. whether moving particles can overlap or not. This will provide new insights that those discernible patterns can be reproduced by changing the strength parameter of steric interaction.
The characteristic of our experimental system is that both microtubule density and strength of steric interaction can be controlled. It enables us to obtain the phase diagram of collective motion in microtubule-and-kinesin motility assay system.
Sakurako Tanida, Ken'ya Furuta, Kaori Nishikawa, Tetsuya Hiraiwa, Hiroaki Kojima, Kazuhiro Oiwa, Masaki Sano, "Gliding filament system giving both orientational order and clusters in collective motion ",
URL: https://link.aps.org/doi/10.1103/PhysRevE.101.032607
Sakurako Tanida, Ken'ya Furuta, Kaori Nishikawa, Tetsuya Hiraiwa, Hiroaki Kojima, Kazuhiro Oiwa, Masaki Sano, "Gliding filament system giving both orientational order and clusters in collective motion ", arXiv:1806.01049