Commercial employee group residence recognition method based on mobile phone positioning data

A technology of positioning data and identification methods, applied in the directions of location information-based services, wireless communication services, nan, etc., can solve problems such as the inability to form a change feature analysis network, and achieve a highly practical, consistent result, and broad prospects. Effect

Active Publication Date: 2016-06-08
SOUTHEAST UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, it is only possible to obtain information on residents’ occupation and residence within a lo

Method used

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  • Commercial employee group residence recognition method based on mobile phone positioning data
  • Commercial employee group residence recognition method based on mobile phone positioning data
  • Commercial employee group residence recognition method based on mobile phone positioning data

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Embodiment Construction

[0031] The following will combine the urban area of ​​Shanghai (excluding the three islands of Chongming Island, Changxing Township and Hengsha Township, its spatial distribution covers the central urban area of ​​Shanghai and the new towns on the periphery, with an area of ​​about 6540km 2 ) method case and accompanying drawings to describe the method scheme of the present invention in detail.

[0032] The purpose of the present invention is to provide a method for identifying the residence of business workers based on mobile phone positioning data, comprising the following steps:

[0033] Step 1) Label the types of commercial land and residential land in the whole city of Shanghai.

[0034] 1.1) Re-divide the space according to the road red lines of expressways, main and secondary arterial roads and some major branch roads in the Shanghai urban area, refer to the "Urban Land Classification and Planning and Construction Land Use Standards", and use the graphics drawing module...

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Abstract

The invention discloses a commercial employee group residence recognition method based on mobile phone positioning data, comprising: (1), making survey, marking and statistics on types of commercial lands and residential lands; (2), setting conditions: at both 10:00 AM and 15:00 PM time points of more than 80% of workdays, presence is all in a same signal cell or adjacent signal cells of a commercial land, (3), at 2:00 AM time points of more than 80% of workdays, presence is all out of the commercial land, and (4), on more than 80% of holidays and festivals, no presence is in the signal cell of the condition (2); marking users meeting the above-mentioned conditions, recording the signal cells that the users locate at 2:00 AM, and marking them as commercial land employee group residences if all of more than 80% of the signal cells are the same residential land signal cell or adjacent residential land signal cells. Employee group residences in specific land types are recognized by using positioning information in a mobile phone communication network dependent on existing mobile communication network resources, and the method features low cost, high frequency, automation and high time efficiency.

Description

technical field [0001] The invention belongs to the technical field of mobile phone signaling processing and urban planning data analysis, and relates to a method for identifying residences of commercially employed people based on mobile phone positioning data. Background technique [0002] With the process of urbanization and the introduction of the new normal, the urban spatial structure is constantly evolving and changing, which is also directly reflected in the changes in the spatial distribution of the urban population and the spatial distribution of industries. In other words, the identification of residents' occupation and residence and their spatial relationship are important components of urban spatial structure. However, the traditional survey method of residents' occupation and residence is costly, involves many people, is difficult to organize, and takes a long time to implement. Generally speaking, only large-scale cities have the strength to carry out large-sc...

Claims

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Application Information

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IPC IPC(8): H04W4/02H04W4/04
CPCH04W4/02H04W4/04
Inventor 杨俊宴熊伟婷史宜
Owner SOUTHEAST UNIV
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