Daily and weekly patterns in human mobility.

Abstract

Abstract. Most location-based services provide recommendations based on a user’s current location or a given route or destination. Even though there are indications that human movement is highly predictable, daily and weekly routines of individual users constitute a largely unexplored and unexploited area. In this paper, we show and discuss such patterns, based on a large dataset of GPS trajectories. In particular, we show what information can be derived from the data of one exemplary user. These observations pave the way for personalization techniques that are based on the user’s ‘personal vicinity’, as well as timely or delayed recommendations.

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