Abstract
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.
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Phithakkitnukoon, S., Horanont, T., Di Lorenzo, G., Shibasaki, R., Ratti, C. (2010). Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data. In: Salah, A.A., Gevers, T., Sebe, N., Vinciarelli, A. (eds) Human Behavior Understanding. HBU 2010. Lecture Notes in Computer Science, vol 6219. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14715-9_3
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DOI: https://doi.org/10.1007/978-3-642-14715-9_3
Publisher Name: Springer, Berlin, Heidelberg
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