Urban Functional Area Identification Method Based on Mobile Big Data

Authors

Xiao Di, 1. Beijing Information Science & Technology University, School of Information and Telecommunication Engineering, Beijing 100101, China; ;2. Beijing Key Laboratory of High Dynamic Navigation Technology, University of Beijing Information Science & Technology, Beijing 100101, China;
Xiaoyong Zhang, 2. Beijing Key Laboratory of High Dynamic Navigation Technology, University of Beijing Information Science & Technology, Beijing 100101, China;
Hu Yang, 2. Beijing Key Laboratory of High Dynamic Navigation Technology, University of Beijing Information Science & Technology, Beijing 100101, China;

Abstract

Abstract: With the rapid development of urbanization, the function of urban land is constantly evolving. It is of great significance to identify urban functional areas in real time and accurately. In recent years, accompanied by the popularity of smart phones and the rapid development of the Internet, mobile phones have become sensors of human activities. In this paper, a method of urban functional area identification based on time series mobile phone data mining and POI semantics analysis is proposed. The time series feature of remaining mobile phone positioning is extracted facing block scale. And a FCM clustering algorithm based on this feature is constructed. Combining the point density distribution of POI in different regions, the functional attributes of clustering results are analyzed and explained. The experimental results show that the method basically realizes the identification of urban functional area.

Recommended Citation

Di, Xiao; Zhang, Xiaoyong; and Yang, Hu (2019) "Urban Functional Area Identification Method Based on Mobile Big Data," Journal of System Simulation: Vol. 31: Iss. 11, Article 11.
DOI: 10.16182/j.issn1004731x.joss.19-FZ0272
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss11/11

First Page

2281

Revised Date

2019-07-02

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-FZ0272

Last Page

2288

CLC

TP391.9

Recommended Citation

Xiao Di, Zhang Xiaoyong, Hu Yang. Urban Functional Area Identification Method Based on Mobile Big Data[J]. Journal of System Simulation, 2019, 31(11): 2281-2288.

DOI

10.16182/j.issn1004731x.joss.19-FZ0272