Social Phases in Human Movement
arXiv:2212.08637 · doi:10.1103/PhysRevE.110.044303
Abstract
Recent empirical studies found different thermodynamic phases for collective motion in animals. However, such a thermodynamic description for human movement remains unclear, mainly due to the limited resolution of existing tracking technologies. In this Letter, we used a new ultra-wideband radio frequency identification technology to collect high-resolution spatial-temporal data for classroom movements. We measured the effective temperatures for the underlying systems, and found two social phases, gas and liquid-vapor coexistence, associated with different temperatures. We also proposed a simple statistical physics model that can reproduce different empirically observed phases.
References in corpus (25)
- Novel type of phase transition in a system of self-driven particles
- Social Force Model for Pedestrian Dynamics
- Understanding individual human mobility patterns
- Simulating Dynamical Features of Escape Panic
- Traffic and Related Self-Driven Many-Particle Systems
- Collective motion
- The scaling laws of human travel
- A universal model for mobility and migration patterns
- Modeling the scaling properties of human mobility
- Hierarchical group dynamics in pigeon flocks
- Onset of collective and cohesive motion
- Statistical mechanics for natural flocks of birds
- Social physics
- Fundamental structures of dynamic social networks
- Collective behaviour without collective order in wild swarms of midges
- Basics of Modelling the Pedestrian Flow
- Traffic Instabilities in Self-Organized Pedestrian Crowds
- Finite-size scaling as a way to probe near-criticality in natural swarms
- Brownian motion at short time scales
- Pedestrian flows in bounded domains with obstacles
- Universal flow-density relation of single-file bicycle, pedestrian and car motion
- Body-rotation behavior of pedestrians for collision avoidance in passing and cross flow
- Physics-based modeling and data representation of pedestrian pairwise interactions
- Pedestrian orientation dynamics from high-fidelity measurements
- Spin-dynamics simulations of the triangular antiferromagnetic XY model