Activity-aware map: identifying human daily activity pattern using mobile phone data

  • Authors:

  • Santi Phithakkitnukoon;Teerayut Horanont;Giusy Di Lorenzo;Ryosuke Shibasaki;Carlo Ratti

  • Affiliations:

  • SENSEable City Laboratory, School of Architecture and Planning, Massachusetts Institute of Technology, Cambridge, MA;SENSEable City Laboratory, School of Architecture and Planning, Massachusetts Institute of Technology, Cambridge, MA and Department of Civil Engineering, School of Engineering, The University of T ...;SENSEable City Laboratory, School of Architecture and Planning, Massachusetts Institute of Technology, Cambridge, MA;Department of Civil Engineering, School of Engineering, The University of Tokyo, Tokyo, Japan;SENSEable City Laboratory, School of Architecture and Planning, Massachusetts Institute of Technology, Cambridge, MA

  • Venue:
  • HBU'10 Proceedings of the First international conference on Human behavior understanding
  • Year:
  • 2010

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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.