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Empirical Study of Routine Structure in University Campus

  • Kingkarn Sookhanaphibarn
  • Ekachai Kanyanucharat
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8029)

Abstract

This paper presents the use of wireless usage data as a research tool for analyzing the routine structure of people. The patterns of wireless usage can infer the routine of student life in campus. In our experiments, we discover the student routine structure from the volume and time of the wireless usage. Without following an individual trace for any particular person, we use the volume and time of the whole accesses for particular time and location in a university campus. The analysis is based on the large wireless LANs, one-year log data of the city campus of Bangkok University (August 2011 - July 2012), and the experiment is focused on the wireless access points provided in important places of student activity such as canteens, classrooms, libraries. The resulting outputs are the location preference vectors and a new calendar based on student routine structure. The results can support the computational and comparative analysis of space through the lens of service management and enhance user-driven facilitates of the university campus.

Keywords

Eigen-decomposition Eigenplaces Eigenbehaviors Eigenvectors Principal component analysis (PCA) Behavior research Wireless networks Segmentation Classification 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Kingkarn Sookhanaphibarn
    • 1
  • Ekachai Kanyanucharat
    • 2
  1. 1.School of Science and TechnologyBangkok UniversityThailand
  2. 2.Information Network DepartmentBangkok UniversityThailand

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