Phithakkitnukoon, Santi; Horanont, Teerayut; Di Lorenzo, Giusy; Shibasaki, Ryosuke and Ratti, Carlo
(2010).
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| URL: | http://rd.springer.com/chapter/10.1007/978-3-642-1... |
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| DOI (Digital Object Identifier) Link: | http://dx.doi.org/doi:10.1007/978-3-642-14715-9_3 |
| Google Scholar: | Look up in Google Scholar |
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.
| Item Type: | Conference Item |
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| Copyright Holders: | 2010 Springer-Verlag |
| ISSN: | 0302-9743 |
| Extra Information: | Human Behavior Understanding
First International Workshop, HBU 2010, Istanbul, Turkey, August 22, 2010. Proceedings 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) pp 14-25 |
| Academic Unit/Department: | Mathematics, Computing and Technology |
| Item ID: | 35088 |
| Depositing User: | Santi Phithakkitnukoon |
| Date Deposited: | 31 Oct 2012 11:34 |
| Last Modified: | 20 Nov 2012 21:36 |
| URI: | http://oro.open.ac.uk/id/eprint/35088 |
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