Identifying Individual Activity Patterns from Mobile Phone Tracking Data
Author:
Affiliation:
1. City Mobility Transport Laboratory (LVMT), École des Ponts ParisTech, Université Gustave Eiffel, Champs-sur-Marne, France.
Publisher
American Society of Civil Engineers
Link
http://ascelibrary.org/doi/pdf/10.1061/9780784483565.020
Reference10 articles.
1. Using mobile positioning data to model locations meaningful to users of mobile phones;Ahas R.;Journal of Urban Technology,2010
2. Batty M. (2007). "Cities and complexity: understanding cities with cellular automata agentbased models and fractals." The MIT press.
3. Activity-based modeling of travel demand;Bhat C. R.;In Handbook of Transportation Science,1999
4. Understanding individual mobility patterns from urban sensing data: A mobile phone trace example;Calabrese F.;Transportation Research Part C: Emerging Technologies,2013
5. From traces to trajectories: how well can we guess activity locations from mobile phone traces;Chen C.;Transportation Research Part C: Emerging Technologies,2014
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