On the regularity of human mobility

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• 作者：Eduardo Mucelli Rezende Oliveira^a ; ^b ; ^{edumucelli@inria.fr} ; Aline Carneiro Viana^b ; Carlos Sarraute^c ; Jorge Brea^c ; Ignacio Alvarez-Hamelin^d
• 关键词：Human mobility ; Mobility ; Dataset ; Analysis
• 刊名：Pervasive and Mobile Computing
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：33
• 期：Complete
• 页码：73-90
• 全文大小：2235 K
• 卷排序：33

文摘

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 favorite venues using the shortest-path available.