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Inferring asymmetry of inhabitant flow using call detail records

Phithakkitnukoon, Santi and Ratti, Carlo (2011). Inferring asymmetry of inhabitant flow using call detail records. Journal of Advances in Information Technology, 2(4) pp. 239–249.

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In this research, we carry out a study of the inhabitant flow using a large mobile phone data with location estimates from subscribers in Suffolk county, Massachusetts, USA that reveals the asymmetry in the flows, which reflects the way that people travel daily. People occasionally travel in a non-symmetrical way. For instance, they would take one route traveling from home to a destination and a different route while returning home. By analyzing the flow over the space, the results show that there exists asymmetrical flows, which account for 33% of all inhabitant flows. In addition, high asymmetrical flows are observed in trips between low and high congested areas e.g. urban and suburban areas, as well as trips made to and from low populated areas e.g. ommercial areas.

Item Type: Journal Item
Copyright Holders: 2011 Academy Publisher
ISSN: 1798-2340
Keywords: inhabitant flow; mobile phone data mining; urban computing
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 35027
Depositing User: Santi Phithakkitnukoon
Date Deposited: 06 Nov 2012 09:38
Last Modified: 09 Dec 2018 02:30
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