Method for discriminating urban functional area by using mobile phone signaling data
A mobile phone signaling and urban function technology, applied in the field of transportation, can solve the problems of strong subjective factors, lack of data guidance, time-consuming and labor-intensive efficiency, etc., and achieve the effects of long recording period, wide coverage and low cost
Inactive Publication Date: 2020-06-05
BEIJING UNIV OF TECH
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Problems solved by technology
The acquisition of data is not only time-consuming, labor-intensive, efficient and low-cost, but also subjective factors are too strong when determining the weight coefficient
In short, the previous studies on the identification of urban functional areas were mostly high-cost, low-efficiency, and lack of data guidance
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[0020] The specific implementation process of the present invention will be described in detail below in conjunction with the accompanying drawings. The overall process is as figure 1 : Shown in the identification process of city functional areas under mobile phone signaling data. First, clean the mobile phone signaling data, extract the communication user data set, and select urban traffic districts as the research object; then, count the number of base stations in each traffic district, and count the traffic volume of users in each traffic district at intervals of 5 minutes, and distinguish between weekends and working days; secondly, based on the area of each traffic area, calculate the average communication intensity on weekdays and weekends, and obtain the communication intensity matrix on working days and non-working days; thirdly, calculate the labels of the traffic areas, and use the k-means algorithm to calculate the average communication intensity on working days a...
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The invention discloses a method for judging an urban functional area by using mobile phone signaling data, and the method comprises the following steps: cleaning the mobile phone signaling data, extracting a communication user data set, and selecting an urban traffic cell as a research object; then, counting the number of base stations of each traffic cell and determining the relation between thebase stations; based on the area of each traffic cell, calculating the average communication intensity of the workdays and weekends to obtain workday and non-workday communication intensity matrixes;calculating traffic cell labels, clustering the workday and non-workday communication intensity matrixes, and performing time distribution display on workday and non-workday clustering results; determining the functional characteristics of different labels, and determining the functional areas of different labels representing traffic zones according to the peak number, the peak intensity, the peak time period, the time-varying characteristics of the communication intensity and the like in the time distribution of the workdays and the non-workdays. According to the method, the discrimination precision of the mobile phone signaling data on the urban functional area can be improved, and an important method basis is provided for urban calculation research of the mobile phone data.
Description
technical field [0001] The invention belongs to the technical field of transportation. It can accurately determine the nature of urban functional areas, and can be used for urban computing research with big data. Background technique [0002] In the era of big data, various data in the city, such as GPS trajectory data, IC card swiping data, shared data, mobile phone data, and social network data, provide important basic data in locating individual travel locations in cities and describing individual travel behaviors. At the same time, urban travel demand and layout rely heavily on the layout of urban functions. Urban traffic congestion greatly reduces the quality of life in the city and seriously affects the quality of urban life. In order to alleviate urban traffic congestion, find the essence of traffic congestion, and tap urban functional space Layout, grasp the spatial distribution of urban traffic travel demand, and provide important theoretical support and decision-m...
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Login to View More IPC IPC(8): H04W4/021H04W4/029H04W8/18H04B17/309G06K9/62
CPCH04W4/021H04W4/029H04W8/18H04B17/309G06F18/23213
Inventor 孙立山袁广孔德文许琰白紫熙邵娟
Owner BEIJING UNIV OF TECH