Population subdivision method based on mobile signaling data on premise of difference compensation

Abstract

The invention provides a population subdivision method based on signaling data on the premise of difference compensation, and the method comprises the steps: carrying out the division of user types according to the space-time information of mobile users, and carrying out the difference compensation of mobile data in a space dimension and a time dimension before division; according to the method, the actual population of the city is divided into resident population and non-resident population according to the residence duration, the movement range, the movement rule and other space-time information of the user in the city; resident population is further divided into stable resident population and instable resident population, the stable resident population is further subdivided into job-living integrated population, regular commuting population and college students, and the instable resident population is subdivided into daytime instable resident population and night instable resident population; and the non-resident population is further divided into tourists, business trip users, visiting users and other users. The method is used for urban population statistics work, real-time andaccurate population data can be provided, and timely and effective decision basis is provided for management departments.

Description

technical field [0001] The invention relates to the technical field of statistical analysis and application of mobile big data, in particular to a method for finely dividing population by using mobile signaling data under the premise of differential compensation. Background technique [0002] Effective statistics of the flow of people in various areas of the city is an important part of the current urban information construction. The traditional statistical methods mainly adopt temporary residence management, door-to-door statistics, etc., which are costly and difficult to keep up with the changes in population flow; especially the relative concentration of work and residence, resulting in a wide range of personnel flow, resulting in sub-regional Statistics cannot cover the needs of some demographics. [0003] At present, the number of mobile phone users is huge, covering most of the population to be counted. Using mobile signaling data for census and population classificat...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of low cost and high work efficiency of traditional population statistics, and use mobile signaling data to provide a population subdivision method based on mobile signaling data under the premise of differential compensation, by dynamically monitoring the mobile behavior of mobile phone users , with the help of the analysis of mobile phone big data, combined with statistical principles, the urban population is counted and subdivided to provide decision-making basis for the management department