Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace

Research Article

Detecting Urban Functional Area Based on Clustering on Base Station Data

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  • @INPROCEEDINGS{10.4108/eai.27-8-2020.2296733,
        author={Yuan  Cheng and Yahong  Wang and Ronghua  Chi},
        title={Detecting Urban Functional Area Based on Clustering on Base Station Data},
        proceedings={Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace},
        publisher={EAI},
        proceedings_a={MOBIMEDIA},
        year={2020},
        month={11},
        keywords={urban functional area uncertain clustering base station data calling behaviors},
        doi={10.4108/eai.27-8-2020.2296733}
    }
    
  • Yuan Cheng
    Yahong Wang
    Ronghua Chi
    Year: 2020
    Detecting Urban Functional Area Based on Clustering on Base Station Data
    MOBIMEDIA
    EAI
    DOI: 10.4108/eai.27-8-2020.2296733
Yuan Cheng1,*, Yahong Wang2, Ronghua Chi3
  • 1: Harbin University of Science and Technology
  • 2: Beijing Institue of Technology, Zhuhai
  • 3: Heilongjiang University of Science and Technology
*Contact email: changuang7@sina.com

Abstract

Detecting urban functional area can contribute to rational planning of urban functions, which is conducive to urban construction. Because the call data correlates with the users' locations and their behavior characteristics, we use the uncertain clustering method to find the aggregate characteristics of the users' calling behaviors, based on the data produced by base station providing the communication services, and then analyze the related land functions. Finally, we will verify the effectiveness of the proposed method through experimental results.