Urban population distribution dynamic perception method based on mobile phone data

Abstract

The present invention discloses an urban population distribution dynamic perception method based on mobile phone data. A mobile phone user's home district is predicated based on mobile phone data, linear regression is employed to represent the relation equation of the population density and the number of the mobile phone users, and the undetermined property value in the regression equation is calibrated to obtain the associated relation between the representation area population density and the area mobile phone user density so as to complete the population distribution perception. The urban population distribution dynamic perception method based on mobile phone data is simple to enforce and low in cost, and more facilitate development at scanty remote regions about other data information; and the mobile data timeliness is high, the urban population distribution dynamic perception method can dynamically perception the urban population distribution compared to a traditional population distribution perception method and provide the basis for the research in the correlated direction such as urban control and urban population flow prediction, etc.

Description

technical field [0001] The invention relates to a dynamic perception method of urban crowd distribution based on mobile phone data. Background technique [0002] The dynamic perception of urban crowd distribution is the research basis for the management and control of key urban areas, urban crowd flow prediction and other related directions, and is of great significance to urban emergency early warning, urban traffic control, and urban public resource allocation. The traditional urban population distribution perception is mainly based on the census method, which consumes a lot of human and material resources, the survey cycle is long, and the results of the population distribution perception lack timeliness; the existing urban population distribution perception methods rely on remote sensing satellites. Methods of modeling geographic information systems, etc. Compared with the census method, the existing method can realize the perception of urban population distribution wit...

AI Technical Summary

Problems solved by technology

[0003] 1. Still need to invest a large cost;

[0004] 2. Relevant modeling data, especially in remote areas, are still lacking;

[0005] 3. The methods and models are complex and the implementation threshold is high;

[0006] 4. It is impossible to realize the dynamic perception of crowd distribution

[0007] To sum up, the current crowd distribution perception methods still have deficiencies. Most of the crowd distribution measurement methods are technically complex, difficult to implement, and difficult to obtain data.

The timeliness of population distribution information in many parts of the world is poor, the update is slow, or even lacks

It is impossible to improve the time precision of realizing urban crowd distribution perception and achieve a dynamic real-time perception mode

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