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Analysis of behavioral differentiation in smart cities based on mobile users’ usage detail record data

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  • Xianlong Zhao
  • Xianze Xu
  • He Nai
  • Chen Zhou
  • Zhiyi Hu
  • Yi Zhang
  • Hao Jiang

Abstract

The expansion of big data has played an important role in the feasibility of the smart city initiative. The massive amounts of data offer the potential for cities to obtain valuable insights from a large amount of data collected through various sources. Usage detail records not only include plentiful spatial–temporal information, but also describe users’ activities in content space and time. They have three dimensions of information, which makes them favorable for the research of human behavior dynamics. To support smart cities, we collected usage detail records containing three dimensions of information from individuals and analyzed the relationship between them to get modes of users’ behavior. In this article, we propose a method to discover the needed content for users and a way to provide these data to them. The result shows that two of these three dimensions have an invisible association. New behavioral patterns that we discovered from usage detail records can be derived for configuring resources reasonably and supporting creation of smart cities.

Suggested Citation

  • Xianlong Zhao & Xianze Xu & He Nai & Chen Zhou & Zhiyi Hu & Yi Zhang & Hao Jiang, 2018. "Analysis of behavioral differentiation in smart cities based on mobile users’ usage detail record data," International Journal of Distributed Sensor Networks, , vol. 14(4), pages 15501477187, April.
    • Handle: RePEc:sae:intdis:v:14:y:2018:i:4:p:1550147718770087
    DOI: 10.1177/1550147718770087
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    References listed on IDEAS

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