Abstract A range of early studies have been conducted to illustrate human mobility patterns using different tracking data, such as dollar notes, cell phones and taxicabs. Here, we explore human mobility patterns based on massive tracking data of US flights. Both topological and geometric properties are examined in detail. We found that topological properties, such as traffic volume (between air...

As a result of population growth and urbanization, the interdependencies between infrastructure, services, and individuals in urban areas continue to increase. Urban areas already consume up to 80% of the world’s energy, and the expected population increase of nearly 70% by 2050 will drive a further rise in energy consumption. It is, therefore, vital for us to develop a better understanding of ...

Researchers studying daily life mobility patterns have recently shown that humans are typically highly predictable in their movements. However, no existing work has examined the boundaries of this predictability, where human behaviour transitions temporarily from routine patterns to highly unpredictable states. To address this shortcoming, we tackle two interrelated challenges. First, we develo...

Understanding human mobility patterns—how people move in their everyday lives—is an interdisciplinary research field. It is a question with roots back to the 19th century that has been dramatically revitalized with the recent increase in data availability. Models of human mobility often take the population distribution as a starting point. Another, sometimes more accurate, data source is land-u...

Human mobility and activity patterns mediate contagion on many levels, including: spatial spread of infectious diseases, diffusion of rumors, and emergence of consensus. These patterns however are often dominated by specific locations and recurrent flows and poorly modeled by the random diffusive dynamics generally used to study them. Here we develop a theoretical framework to analyze contagion...

Abstract Human mobility is an important characteristic of human behavior, but since tracking personalized position to high temporal and spatial resolution difficult, most studies on patterns rely sparsely sampled data. In this work, we re-examined via comprehensive cell-phone data recorded at a frequency up every second. We constructed networks found that individuals exhibit origin-dependent, p...

This paper provides insights into human mobility by analyzing cell tower traces. Cell tower trace data is an attractive method for studying mobility as the data can be collected in an energy-efficient and privacy-preserving way. Our new data set is useful for confirming or determining fundamental mobility parameters and for understanding mobile networks. In particular, we identify patterns in t...

The mobility behavior of human beings is predictable to a varying degree e.g. depending on the traits of their personality such as the trait extraversion introversion: the mobility of introvert users may be more dominated by routines and habitual movement patterns, resulting in a more predictable mobility behavior on the basis of their own location history while, in contrast, extrovert users ge...