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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data
verfasst von : Santi Phithakkitnukoon, Teerayut Horanont, Giusy Di Lorenzo, Ryosuke Shibasaki, Carlo Ratti
Erschienen in: Human Behavior Understanding
Verlag: Springer Berlin Heidelberg
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Being able to understand dynamics of human mobility is essential for urban planning and transportation management. Besides geographic space, in this paper, we characterize mobility in a profile-based space (
activity-aware map
) that describes most probable activity associated with a specific area of space. This, in turn, allows us to capture the individual daily activity pattern and analyze the correlations among different people’s work area’s profile. Based on a large mobile phone data of nearly one million records of the users in the central Metro-Boston area, we find a strong correlation in daily activity patterns within the group of people who share a common work area’s profile. In addition, within the group itself, the similarity in activity patterns decreases as their work places become apart.