On the regularity of human mobility

CARLOS SARRAUTE; EDUARDO MUCELLI REZENDE OLIVEIRA; JORGE BREA; ALINE CARNEIRO VIANA; IGNACIO ALVAREZ HAMELIN

Pervasive and Mobile Computing

ELSEVIER SCIENCE BV

Año: 2016 p. 73 - 90

Understanding human mobility patterns is crucial to fields such as urban mobility and mobile network planning. For this purpose, we make use of large-scale datasets recording individuals spatio-temporal locations, from eight major world cities: Beijing, Tokyo, New York, Paris, San Francisco, London, Moscow and Mexico City. Our contributions are two-fold: first, we show significant similarities in people?s mobility habits regardless of the city and nature of the dataset. Second, we unveil three persistent traits present in an individual?s urban mobility: repetitiveness, preference for shortest-paths, and confinement. These characteristics uncover people?s tendency to revisit few favourite venues using the shortest-path available.