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Method for identifying an economically active population based on big data

An identification method and big data technology, applied in the field of identification of economically active population, can solve the problems of low sampling ratio, time lag of statistics, large consumption of time and manpower and material resources, etc.

Active Publication Date: 2018-05-01
上海世脉信息科技有限公司 +1
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  • Abstract
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AI Technical Summary

Problems solved by technology

Traditional statistics of economically active population often rely on large samples and long-term sampling surveys. This survey method consumes a lot of time, manpower and material resources, and its sampling ratio is not high, and the timeliness of statistics will also lag behind. problems, seriously reducing the usefulness of economically active population surveys

Method used

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  • Method for identifying an economically active population based on big data
  • Method for identifying an economically active population based on big data
  • Method for identifying an economically active population based on big data

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Embodiment Construction

[0070] In order to make the present invention more comprehensible, preferred embodiments are described in detail below with accompanying drawings.

[0071]The purpose of the present invention is to use the spatial activity data sets of mobile terminal individuals within a specified time range to mine a large number of individual travel trajectory data, perform fitting interpolation to it, and obtain individual travel time-space sequences with equal time intervals; adopt the spatial clustering method Search for possible clustering areas in the individual travel time-space sequence to obtain the individual's residence point; classify the individual's economic activity types, and use the samples of identified economic activity types to train the characteristics of each economic activity type; use these characteristics Discriminate the time-space sequence of travel to be identified, and classify the types of economic activities for it. In order to achieve the above purpose, the pr...

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Abstract

The invention provides a method for identifying an economically active population based on big data. The method comprises by using an active data set (namely a communication record between the individual mobile terminal and a fixed position sensor) of an individual mobile terminal within a specified time range and space range, constituting an individual travel trajectory, interpolating the traveltrajectory to expand nodes, and establishing an individual travel trajectory; dividing an individual travel space into a plurality of regions by a spatial clustering method and extracting long-term resident places of the regions; selecting and training the travel trajectory of the sample individual, obtaining the spatial distribution characteristics and related parameters of the travel activitiesof various economically active populations; analyzing the full-sample data to identify economically active population in the sample; finally sampling a fixed proportion for expansion to obtain the real-time economically active population.

Description

technical field [0001] The invention relates to a method for identifying economically active population based on massive anonymous encrypted time series positioning data, constructing massive individual travel trajectories according to individual time and spatial position data; dividing individual travel trajectories into several regions through spatial clustering , to judge and extract its long-term residence points; through sample training and learning, the daily travel pattern characteristics of various economically active populations and related parameter values ​​are obtained; Economically active population, and which type of economically active population it belongs to; expand the sample data to obtain the number and distribution of economically active population in the whole society. Background technique [0002] The economically active population refers to all the population aged 16 and above who provide labor supply for various economic production and service activi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F17/30H04W4/02
CPCG06F16/2477G06F18/23
Inventor 刘杰冷燮周示莹彭成阳顾高翔张颖吴佳玲
Owner 上海世脉信息科技有限公司
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