Estimation of Space-time of Urban Building Population Based on Mobile Phone Big Data

Authors

Hu Yang, Beijing Information Science Technology University Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100101, China;
Xiaoyong Zhang, Beijing Information Science Technology University Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100101, China;
Xiao Di, Beijing Information Science Technology University Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100101, China;

Abstract

Abstract: With the acceleration of the urbanization process, mastering the population distribution on a fine scale is of great significance for urban disaster assessment, emergency response management and public resource allocation. The rapid development of the Internet and the popularity of smartphones have prompted mobile phones to become the sensors of human activity. A method of urban building population estimation based on mobile phone big data is proposed. The method analyzes the crowd activity law of buildings with different functions based on mobile phone positioning big data in typical areas, calculates the population capacity of different functional buildings, and establishes the spatial and temporal distribution model of urban building population. Experimental results show that the method basically achieves the spatial and temporal distribution of population on the scale of urban buildings.

Recommended Citation

Yang, Hu; Zhang, Xiaoyong; and Di, Xiao (2020) "Estimation of Space-time of Urban Building Population Based on Mobile Phone Big Data," Journal of System Simulation: Vol. 32: Iss. 10, Article 4.
DOI: 10.16182/j.issn1004731x.joss.20-FZ0325
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss10/4

First Page

1874

Revised Date

2020-06-18

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-FZ0325

Last Page

1883

CLC

TP391.9

Recommended Citation

Hu Yang, Zhang Xiaoyong, Xiao Di. Estimation of Space-time of Urban Building Population Based on Mobile Phone Big Data[J]. Journal of System Simulation, 2020, 32(10): 1874-1883.

DOI

10.16182/j.issn1004731x.joss.20-FZ0325