Urban business center and retailing format concentrated area identification method based on POI data

A business center and identification method technology, applied in the direction of electrical digital data processing, character and pattern recognition, special data processing applications, etc., can solve the problem of less involvement

Inactive Publication Date: 2015-12-09
SUN YAT SEN UNIV
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Problems solved by technology

[0006] Overall, the use of big data for commercial agglomeration spatial analysis has gradually become a new trend in commercial quantitative research. However, in existing related research, the selection of hot commercial districts bas

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  • Urban business center and retailing format concentrated area identification method based on POI data
  • Urban business center and retailing format concentrated area identification method based on POI data
  • Urban business center and retailing format concentrated area identification method based on POI data

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Embodiment Construction

[0038] The present invention will be further described below in conjunction with accompanying drawing and embodiment, in the accompanying drawing:

[0039]This example is a method for identifying urban commercial centers and retail business clusters based on POI data. The flow chart is shown in figure 1 , mainly including the following steps:

[0040] The first step is to divide the spatial area into regular grids, such as 1000m×1000m, according to the accuracy requirements of the area of ​​the study area.

[0041] The second step is to calculate the appropriate bandwidth according to the kernel density estimation method, convert the distribution data of retail outlets into grid density values, and connect the density data of commercial outlets to the center point of the grid.

[0042] Kernel Density Estimation (KernelDensityEstimation) uses a moving cell to estimate the density of a point or line pattern. Given a sample point x 1 , x 2 ,...,x n , using kernel estimation ...

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Abstract

The invention provides an urban business center and retailing format concentrated area identification method based on POI data. The method comprises the steps that interest point data serve as study objects, the spatial range and the distribution situation of an urban business center are identified through a kernel density method; hot spot areas of retailing activities are detected by combining local space associated indexes, and the distributional difference of retailing format concentrated areas is further explored by taking a central urban area as a study area. The urban business center and retailing format concentrated area identification method based on the POI data has the advantages of being large in data volume and strong in real-time performance, the objectivity and the accuracy of business center hot spot recognition and retailing format concentrated area characteristic analysis can be improved, and a novel data source is provided for business space layout analysis within an urban scale; the method is beneficial for further clearing and defining a business network layout goal and improving the scientificity of government department commercial planning and retailer site selection preliminary study.

Description

technical field [0001] The spatial agglomeration phenomenon of retail activities concerned by the present invention involves the interdisciplinary fields of geography and economics, more specifically, a method for identifying urban commercial centers and retail business agglomeration areas based on POI data, which can reflect the behavior and commercial The correlation of economic distribution helps to improve the objectivity and scientificity of government department business planning and retailer site selection preliminary research. Background technique [0002] The spatial agglomeration of retail activities is an important area of ​​concern for geography, economics and other disciplines. The rational layout of the retail industry plays an important role in the development of the urban economy, the rational allocation of circulation resources, and the satisfaction of residents' consumption needs. Geographical research on retail business locations in western countries mainl...

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Application Information

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IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/9537G06F18/2321
Inventor 梁育填柳林陈蔚珊李璐刘鲁论
Owner SUN YAT SEN UNIV
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