Phithakkitnukoon, Santi; Horanont, Teerayut; Di Lorenzo, Giusy; Shibasaki, Ryosuke and Ratti, Carlo
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|DOI (Digital Object Identifier) Link:||https://doi.org/10.1007/978-3-642-14715-9_3|
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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.
|Item Type:||Conference Item|
|Copyright Holders:||2010 Springer-Verlag|
|Extra Information:||Human Behavior Understanding
First International Workshop, HBU 2010,
Istanbul, Turkey, August 22, 2010.
Editors: Albert Ali Salah, Theo Gevers, Nicu Sebe, Alessandro Vinciarelli
Lecture Notes in Computer Science, 6219 2010
ISBN: 978-3-642-14714-2 (Print)
ISBN: 978-3-642-14715-9 (Online)
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Santi Phithakkitnukoon|
|Date Deposited:||31 Oct 2012 11:34|
|Last Modified:||05 Oct 2016 19:30|
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