Mobile phone big data-based floating population classification identification analysis method

Abstract

The invention provides a mobile phone big data-based floating population classification identification analysis method. According to the method, the limitation of conventional survey is broken through; objective time-space information is extracted from a behavior track by utilizing big data to perform analysis mining; the limitation of low sampling rate is broken through and multi-time full information extraction of different dimensions can be performed; population mobility is observed and identified in space and time to distinguish floating population groups; and floating population is classified into long-term floating population, short-term floating population and short-time immigration population by considering different categories of the floating population from the perspective of users based on behavior characteristics and staying durations of the groups, so that the application of data can generate values in different fields.

Description

Technical field [0001] The invention relates to a method for carrying out classification, identification, mining and analysis of floating population in a big data environment based on massive anonymous and encrypted mobile terminal individual (such as independent mobile terminals such as mobile phones, tablets, Internet cards, etc., hereinafter referred to as individual) data. This method measures the classification and identification of different types of migrants based on the spatial displacement and duration of the movement of people, and on this basis, further obtains the distribution and travel characteristics of such groups of people, and is useful for urban population management, urban planning, and tourist attractions. Planning and management, business planning and other work provide objective data services and decision support, which belong to the technical field of urban operation management, urban planning, and regional planning. Background technique [0002] Floating ...

AI Technical Summary

Problems solved by technology

At the same time, the residence of the floating population is relatively unstable, and it is very difficult to conduct interviews through household surveys

On the other hand, since the household survey is a one-time survey, with the adjustment of the survey content and the change of the statistical caliber, such as the 1982 and 1990 censuses: "cross-county" and "more than one year" floating population; In 1995, the floating population of “inside the county” and “more than half a year” were further identified; the 2000 census: the screening of the population of “separation of households in the city”; in 2005, the investigation of the inflowing population who left the place of residence registration for less than half a year was added, see Causes of Floating Population There are huge differences in quantity and scale, and it is impossible to continuously track and compare them in depth

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