A method for distributing mobile phone base station data to peripheral space units

Abstract

The invention provides a method for distributing mobile phone base station data to peripheral space units, which is used for distributing the base station data of a user collected by each mobile phonebase station to the peripheral city space units when the user behavior is analyzed by utilizing mobile phone signaling data in a city, and is characterized by comprising the following steps: S1, acquiring the mobile phone signaling data; S2, acquiring position information of the base station; S3, calculating the centroid of the urban space unit and obtaining unit position information corresponding to the centroid; S4, acquiring city space units around the mobile phone base station as surrounding space units; S5, calculating an adjacent distance according to the base station position information and the unit position information; S6, judging the distance with the maximum value in all adjacent distances corresponding to the mobile phone base station as the maximum adjacent distance, and calculating the bandwidth distance; S7, calculating an allocation weight according to the bandwidth distance and the adjacent distance; And S8, distributing the base station data to each urban space unitaccording to the distribution weight.

Description

technical field [0001] The invention relates to a method for distributing mobile phone base station data to peripheral space units. Background technique [0002] In recent years, mobile phone signaling data has been widely used in various fields of urban research and urban planning, ranging from urban and regional spatial structure, urban traffic planning, urban population and employment distribution, urban actual population, to individual behavior Pattern mining, research results have sprung up. [0003] The existing mobile phone signaling data statistics technology can identify the user's "occupation and residence" or other statistical data through the mobile phone signaling data, so as to identify the user's statistical data at the street level. The data obtained through this identification method and The census data are fairly consistent and the associated statistical studies work very well. [0004] However, when the scale of the studied spatial unit becomes smaller, ...

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Problems solved by technology

[0004] However, when the scale of the studied spatial unit becomes smaller, such as at the scale of the neighborhood committee, the above statistical techniques will have problems, because at the level of the neighborhood committee, there are many base stations covering communication data in urban spatial units that are installed in other urban spatial units Among them, there will be an unexpected situation that the urban spatial unit has no "population" after the statistics. At the same time, other urban spatial units will have more lost data, which will obviously have a great impact on the statistics.

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