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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.
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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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