Urban resident demand supply two-way evaluation method based on big data

A technology of big data and residents, applied in data processing applications, instruments, resources, etc., can solve the problems of unreasonable configuration and low efficiency of public service facilities configuration, and achieve the effect of a better life, small investment, and reduction of repeated construction.

Inactive Publication Date: 2020-07-03
北京融信数联科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a two-way evaluation method for the demand and supply of urban residents based on big data, aiming at the problems of low efficiency and unreasonable allocation of public

Method used

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  • Urban resident demand supply two-way evaluation method based on big data
  • Urban resident demand supply two-way evaluation method based on big data
  • Urban resident demand supply two-way evaluation method based on big data

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Embodiment Construction

[0014] like figure 1 Shown, the concrete realization mode of the present invention is as follows:

[0015] (1) Collection of POI information: Predetermine the types of public service facilities that can provide supplies for residents, and collect POI information in a certain area of ​​the city according to the types of POI facilities. The POI information includes the number of various public service facilities, Type, distribution location, supply capacity information of each facility.

[0016] There are many types of public service facilities. The present invention screens and determines some convenience service facilities related to residents’ daily life, including: convenience stores, vegetable markets, supermarkets, shopping centers, gymnasiums, gymnasiums, subway stations, bus stations, primary schools, kindergartens There are 17 categories in total, middle schools, elderly activity centers, community cultural centers, parks, leisure plazas, elderly care stations, and com...

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Abstract

The invention provides an urban resident demand supply bidirectional evaluation method based on big data. Mobile signaling is effectively utilized to be combined with POI information; the resident living circle is quantified from two perspectives of public service facility supply and demand; on one hand, actual demands of residents can be known; on the other hand, the supply state of the current resident living circle is mastered; the difference between supply and demand is analyzed, the supply and demand relationship of various public service facilities in the resident living circle is evaluated, the supply weakness in resident living circle construction is made up, repeated construction is reduced, community convenience and habitability are created, the use efficiency of urban public resources is improved, and the resident satisfaction is improved.

Description

technical field [0001] The invention belongs to the technical field of mobile communication big data applications, and in particular relates to a method for evaluating demand and supply of urban residents by using mobile communication big data. Background technique [0002] Existing planning and design of urban public service facilities pay too much attention to equalization schemes, such as per capita indicators, thousand people indicators, etc. Although the overall layout is reasonable, it is extremely extensive and does not consider group differences, which may easily lead to problems such as low resource allocation efficiency, repeated allocation, and insufficient regional coordination. Contents of the invention [0003] The purpose of the present invention is to provide a two-way evaluation method for the demand and supply of urban residents based on big data, aiming at the problems of low efficiency and unreasonable allocation of public service facilities at present....

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/30
CPCG06Q10/06315G06Q50/30
Inventor 贺炎俊成立立张广志
Owner 北京融信数联科技有限公司
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