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  • 标题:Identification Method of Residence and Employment Locations Based on Cellular Phone Data
  • 本地全文:下载
  • 作者:Lai, Jianhui ; Chen, Yanyan ; Zhang, Weiwei
  • 期刊名称:Journal of Networks
  • 印刷版ISSN:1796-2056
  • 出版年度:2014
  • 卷号:9
  • 期号:8
  • 页码:2183-2188
  • DOI:10.4304/jnw.9.8.2183-2188
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:Identification method of residential and industrial land use is traditionally achieved by artificial investigation, but the cost of artificial investigation is high, and it can’t timely achieve data. The big-data times brings massive information such as mobile phone positioning information which can realize pursuit tracking on individuals. The paper uses mobile phone positioning information and combines fuzzy pattern recognition to propose a method differentiating individual residential and industrial land use. Compared with census data of National Bureau of Statistics, the highest correlation coefficient of the results achieves 0.94, which has higher accuracy. Therefore, it can be used as a new method of acquiring survey data in practice.
  • 关键词:Cellular Phone Data;Residence Location;Employment Location;Pattern Recognition
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