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作者:

Lai, Jianhui (Lai, Jianhui.) | Chen, Yanyan (Chen, Yanyan.) (学者:陈艳艳) | Zhang, Weiwei (Zhang, Weiwei.) | Chen, Zhihong (Chen, Zhihong.)

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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. © 2014 ACADEMY PUBLISHER.

关键词:

Cellular telephones Housing Land use Location Pattern recognition Population statistics Surveys

作者机构:

  • [ 1 ] [Lai, Jianhui]College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
  • [ 2 ] [Chen, Yanyan]College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
  • [ 3 ] [Zhang, Weiwei]College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
  • [ 4 ] [Chen, Zhihong]Beijing Transportation Information Center, Beijing, China

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来源 :

Journal of Networks

ISSN: 1796-2056

年份: 2014

期: 8

卷: 9

页码: 2183-2188

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:133

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 2

ESI高被引论文在榜: 0 展开所有

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