Method for estimating occupational and residential population characteristics based on mobile phone signaling

Abstract

The invention discloses a method for estimating the occupational and residential population characteristics based on mobile phone signaling, and the method comprises the steps: S1), obtaining the signaling data of a target city, calculating a Geohash character string corresponding to a signaling record, and carrying out the sorting according to the time; S2) eliminating ping-pong and drift signaling records, and combining adjacent same Geohash grids to obtain resident model data; S3) selecting data of the working time and the night sleep period, and judging whether the working and living conditions are met or not to obtain working and living model data; S4) processing the mobile service user data table and the real-name system width table provided by the operator to obtain a user data table; S5) matching the user data table with the job-house model data to obtain job-house user basic information model data; and S6) carrying out statistical analysis on the corresponding characteristicsof the occupational and residential population, and relatively accurately identifying the occupational and residential places of the users and obtaining the characteristics of the occupational and residential population by utilizing mobile phone signaling data and a user data table provided by an operator, so that the time cost and the human resources are saved compared with a traditional survey way.

Description

technical field [0001] The invention relates to the field of traffic planning, in particular to a method for estimating occupational and residential population characteristics based on mobile phone signaling. Background technique [0002] In traditional transportation planning, the common survey method to obtain basic data such as residents' travel, age and gender is questionnaire survey, which generally has problems such as long cycle, low sampling rate, time-consuming and laborious. Questionnaire surveys every few years cannot meet the long-term and continuous transportation planning needs, and cannot support the rapid infrastructure construction of modern cities. In the case of unbalanced population distribution, problems such as unreasonable sampling rate and low sampling rate are prone to occur, and the accuracy and objectivity of data cannot be guaranteed, and may even mislead the direction of transportation facility construction in some cases. The preparation of the ...

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Problems solved by technology

[0002] In traditional transportation planning, the common survey method to obtain basic data such as residents' travel, age and gender is questionnaire survey, which generally has problems such as long cycle, low sampling rate, time-consuming and laborious

The frequent questionnaire survey after several years cannot meet the long-term and continuous transportation planning needs, and cannot support the rapid infrastructure construction of modern cities

In the case of uneven population distribution, it is easy to have problems such as unreasonable sampling rate and low sampling rate, which cannot guarantee the accuracy and objectivity of data, and may even mislead the direction of transportation facility construction in some cases

The preparation of questionnaire content, manual distribution and collection of questionnaires largely lead to time-consuming and laborious data acquisition, which lags behind the subsequent development of traffic planning

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