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Author:

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

Indexed by:

EI Scopus

Abstract:

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.

Keyword:

Cellular telephones Location Pattern recognition Land use Surveys Housing Population statistics

Author Community:

  • [ 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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Source :

Journal of Networks

ISSN: 1796-2056

Year: 2014

Issue: 8

Volume: 9

Page: 2183-2188

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:188

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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