Field theory for recurrent mobility
arXiv:1908.11814 · doi:10.1038/s41467-019-11841-2
Abstract
Understanding human mobility is crucial for applications such as forecasting epidemic spreading, planning transport infrastructure and urbanism in general. While, traditionally, mobility information has been collected via surveys, the pervasive adoption of mobile technologies has brought a wealth of (real time) data. The easy access to this information opens the door to study theoretical questions so far unexplored. In this work, we show for a series of worldwide cities that commuting daily flows can be mapped into a well behaved vector field, fulfilling the divergence theorem and which is, besides, irrotational. This property allows us to define a potential for the field that can become a major instrument to determine separate mobility basins and discern contiguous urban areas. We also show that empirical fluxes and potentials can be well reproduced and analytically characterized using the so-called gravity model, while other models based on intervening opportunities have serious difficulties.
11 pages, 7 figures
References in corpus (26)
- Understanding individual human mobility patterns
- A universal model for mobility and migration patterns
- Multiscale mobility networks and the large scale spreading of infectious diseases
- Human Mobility: Models and Applications
- Geo-located Twitter as the proxy for global mobility patterns
- A tale of many cities: universal patterns in human urban mobility
- On the use of human mobility proxy for the modeling of epidemics
- Constructing cities, deconstructing scaling laws
- Gravity vs radiation model: on the importance of scale and heterogeneity in commuting flows
- Phase transitions in contagion processes mediated by recurrent mobility patterns
- Systematic comparison of trip distribution laws and models
- Predicting commuter flows in spatial networks using a radiation model based on temporal ranges
- Cross-checking different sources of mobility information
- Unraveling the origin of exponential law in intra-urban human mobility
- Modeling collective human mobility: Understanding exponential law of intra-urban movement
- A Universal Model of Commuting Networks
- Mesoscopic structure and social aspects of human mobility
- The Distance-Decay Function of Geographical Gravity Model: Power Law or Exponential Law?
- Comparing and modeling land use organization in cities
- Limits of Predictability in Commuting Flows in the Absence of Data for Calibration
- Mobile phone records to feed activity-based travel demand models: MATSim for studying a cordon toll policy in Barcelona
- Human diffusion and city influence
- Modeling the relation between income and commuting distance
- Supersampling and network reconstruction of urban mobility
- Statistical Mechanics of Multi-Edge Networks
- The role of adjacency matrix degeneration in maximum entropy weighted network models
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- Urban spatial structures from human flow by Hodge-Kodaira decomposition
- Spontaneous symmetry breaking in ride-sharing adoption dynamics
- Identifying sinks and sources of human flows: A new approach to characterizing urban structures
- Multiple gravity laws for human mobility within cities
- Disparate Patterns of Movements and Visits to Points of Interests Located in Urban Hotspots across U.S. Metropolitan Cities during COVID-19
- Flow descriptors of human mobility networks
- Vector fields as a framework for modelling the mobility of commodities
- Optimal transport by a Lagrangian dynamics of population distribution
- Scaling of variations in traveling distances and times of taxi routes