A community facility supply-demand matching analysis method and related device
By acquiring population location and profile data, combined with community boundary and facility data, precise analysis of the supply and demand matching of community facilities was achieved, solving the problems of high cost and poor effectiveness in existing technologies, and improving the accuracy and efficiency of community construction.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA ACAD OF URBAN PLANNING & DESIGN
- Filing Date
- 2026-04-23
- Publication Date
- 2026-06-05
Smart Images
Figure CN122155121A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the fields of urban health check, renewal and governance technology, and in particular to a method and related apparatus for analyzing the supply and demand matching of community facilities. Background Technology
[0002] The integrated approach of urban health checks and renewal, and the construction of complete communities, is crucial for sustainable urban development. While relevant national ministries have formulated urban health check indicator systems, technical guidelines for good communities, guidelines for building convenient 15-minute living circles in cities, guidelines for building child-friendly spaces, evaluation standards for youth-oriented cities, and guidelines for creating age-friendly communities, these lack systematic integration and in-depth application at the community level. Current methods for urban health checks, community health checks, community renewal, complete community construction, and urban governance rely heavily on traditional approaches such as manpower, questionnaires, indicator reporting, experience analysis, and inductive synthesis. These methods primarily focus on indicator analysis and qualitative evaluation, lacking quantitative, spatial, and precise technical means. This prevents accurate analysis of the supply and demand of community facilities, resulting in inaccurate policy implementation in urban renewal and complete community construction, leading to high research costs, large construction investments, and unsatisfactory implementation results. Summary of the Invention
[0003] The purpose of this application is to provide a method and related apparatus for analyzing the supply and demand matching of community facilities, which can adopt a data-driven approach to effectively improve the objectivity and accuracy of the analysis results on whether the supply and demand of community facilities are matched.
[0004] To achieve the above objectives, this application provides the following solution: Firstly, this application provides a method for analyzing the supply and demand matching of community facilities, including: Acquire population location service data and population profile data within the target area; based on the population location service data and population profile data, determine the population distribution data for different target age groups within the target area; the population profile data includes age group information of the population. Obtain community boundary data within the target area, and combine it with population distribution data for different target age groups within the target area to derive population distribution data for different age groups within each community of the target area; Acquire data on community facility interest points within the target area, and combine this with the types of community facilities suitable for different target age groups to determine the types and quantities of community facilities already configured for different target age groups in each community; Based on the population distribution data of different age groups in each community within the target area and the types and quantities of community facilities already configured for different target age groups in each community, the community facilities to be improved for each target age group in each community within the target area are determined.
[0005] Secondly, this application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to implement the above-described community facility supply and demand matching analysis method.
[0006] Thirdly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the aforementioned community facility supply and demand matching analysis method.
[0007] Fourthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the aforementioned community facility supply and demand matching analysis method.
[0008] According to the specific embodiments provided in this application, this application has the following technical effects: This application provides a method and related apparatus for analyzing the supply and demand matching of community facilities. The method includes: acquiring population location service data and population profile data within a target area to determine population distribution data for different target age groups; acquiring community boundary data within the target area and, combined with the population distribution data for different target age groups, deriving population distribution data for different age groups within each community of the target area; acquiring community facility point of interest data within the target area and, combined with the types of community facilities suitable for different target age groups, determining the types and quantities of community facilities already configured for different target age groups in each community; and, combined with the population distribution data for different age groups within each community of the target area, determining the community facilities to be improved for each target age group in each community of the target area. This application adopts a data-driven approach, which can avoid the problems of subjective judgment errors and the difficulty in implementing qualitative analysis results in the existing community survey and construction process, effectively improving the objectivity and accuracy of the analysis results, significantly reducing existing survey costs, improving the efficiency of supply and demand matching analysis, and providing decision-makers with intuitive and reliable reference data. Attached Figure Description
[0009] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0010] Figure 1 This is a diagram illustrating the application environment of a community facility supply and demand matching analysis method according to one embodiment of this application. Figure 2 A flowchart illustrating a community facility supply and demand matching analysis method provided in an embodiment of this application; Figure 3 A schematic diagram of the technical route for a community facility supply and demand matching analysis method provided in an embodiment of this application; Figure 4 A radar diagram of the facilities in a community from an age-friendly perspective, provided as an embodiment of this application; Figure 5 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation
[0011] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0012] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.
[0013] The community facility supply and demand matching analysis method provided in this application embodiment can be applied to, for example... Figure 1In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be set up independently, integrated into server 104, or placed in the cloud or on other servers. Terminal 102 can send population location service data and population profile data within the target area to server 104. Server 104, based on the population location service data and population profile data, determines the population distribution data for different target age groups within the target area; acquires community boundary data within the target area, and combines it with the population distribution data for different target age groups within the target area to derive the population distribution data for different age groups within each community of the target area; acquires community facility point of interest data within the target area, and combines it with the community facility types suitable for different target age groups to determine the types and quantities of community facilities already configured for different target age groups in each community; and, based on the population distribution data for different age groups within each community of the target area and the types and quantities of community facilities already configured for different target age groups in each community of the target area, determines the community facilities to be improved for each target age group within each community of the target area. Server 104 can provide feedback to terminal 102 on the community facilities to be improved for each target age group within each community. Furthermore, in some embodiments, the community facility supply and demand matching analysis method can also be implemented independently by server 104 or terminal 102. For example, terminal 102 can directly perform community facility supply and demand matching analysis based on population location service data and population profile data within the target area, or server 104 can obtain population location service data and population profile data within the target area from the data storage system and perform community facility supply and demand matching analysis.
[0014] Among them, terminal 102 can be, but is not limited to, various desktop computers, laptops, smartphones, tablets, IoT devices and portable wearable devices, and server 104 can be implemented by independent servers or server clusters composed of multiple servers, or it can be a cloud server.
[0015] In one exemplary embodiment, such as Figure 2 and Figure 3 As shown, a method for matching supply and demand of community facilities is provided. This method is executed by computer equipment, specifically by a terminal or server alone, or by both a terminal and a server. In this embodiment, the method is applied to... Figure 1 Taking server 104 as an example, the explanation includes the following steps 201 to 204. Wherein: Step 201: Obtain population location service data and population profile data within the target area. Based on the population location service data and population profile data, determine the population distribution data for different target age groups within the target area. The population profile data includes age group information. As an example, different target age groups can be divided into child age group (0-17 years old), youth age group (18-64 years old), and elderly age group (>65 years old). The population location service data and population profile data only contain location information and age group information, and do not involve privacy information such as names.
[0016] Step 202: Obtain community boundary data within the target area, and combine it with population distribution data of different target age groups within the target area to obtain population distribution data of different age groups in each community within the target area.
[0017] Step 203: Obtain community facility interest point data within the target area, and determine the types and quantities of community facilities configured for different target age groups in each community, based on the community facility types suitable for different target age groups.
[0018] Step 204: Based on the population distribution data of different age groups in each community of the target area and the types and quantities of community facilities already configured for different target age groups in each community, determine the community facilities to be improved for each target age group in each community of the target area.
[0019] This application, through the acquisition of population location service data and population profiling data, can accurately identify the quantity and distribution of different target age groups such as children, youth, and the elderly at the community level, solving the problem that existing survey methods cannot accurately analyze the age structure and needs of the community population. Through the acquisition of facility point of interest (POI) data, it can accurately analyze the quantity and location of child-, youth-, and elderly-friendly facilities at the community level, solving the problem that existing survey methods cannot accurately analyze the current distribution and composition of community facilities. Through the matching analysis of the needs of the community's child, youth, and elderly population with the supply of community facilities, it can accurately identify the shortcomings and weaknesses of community facilities (items requiring improvement). By analyzing the composition and quantity of child-, youth-, and elderly-friendly facilities in the community, it can accurately assess the progress of complete community construction from an all-age-friendly perspective. This application adopts a data-driven approach, avoiding the problems of subjective judgment errors and the difficulty in implementing qualitative analysis results in existing community surveys and construction processes, effectively improving the objectivity and accuracy of community facility supply and demand matching analysis results. This application not only optimizes the workflow of community assessment and renovation construction but also provides important technical support for smart city construction, promoting urban governance towards refinement and intelligence.
[0020] In another exemplary embodiment of this application, in step 201, population location service data, including grid points, coordinate values, and population information, is obtained from a population mobile data service provider. Based on the coordinate values in the population location service data, a geographic coordinate system (Shp) format file is generated using GIS software. Using a GIS projection tool, the geographic coordinate system Shp file is converted into a population distribution Shp file in a specified projection coordinate system. Based on the boundaries of the Shp file in the specified projection coordinate system, an 80m × 80m fishing net file is created. Using a GIS spatial connection tool, the fishing net file and the population distribution Shp file are connected, and the population values are associated to obtain a population distribution fishing net Shp file. Population profile data, including grid points, coordinate values, and the population proportion of each age group, is obtained from a population mobile data service provider. Using a GIS spatial connection tool, the population number in the population distribution fishing net file is associated with the population proportion of each age group in the population profile file based on the coordinate values to obtain a population profile fishing net file. Add fields for "Number of Children", "Number of Youths", and "Number of Elderly", and summarize the number of children, youths, and elderly people in each fishing net grid according to 0-17 years old, 18-64 years old, and >65 years old respectively.
[0021] Based on the above, step 201 involves acquiring population location service data and population profile data within the target area. Based on the population location service data and population profile data, the population distribution data for different target age groups within the target area is determined, specifically including: (a1) Obtain population location service data and population profile data within the target area; the population location service data includes several grids within the target area, each grid point having corresponding coordinate values and population information, etc.; the population profile data includes several grids within the target area, each grid point having corresponding coordinate values and population number / proportion information for each age group, etc.
[0022] (a2) Preprocess the population location service data to generate population distribution data, i.e., generate population distribution net data (i.e., population distribution net Shp file).
[0023] (a3) Based on the coordinate values of the grid points, the population distribution net data and the population profile data are associated to obtain the population profile net data (i.e., the population profile net file); the population profile net data includes the population distribution data of different target age groups in the target area.
[0024] In another exemplary embodiment of this application, step 202 involves obtaining community boundary Shhp data, including information such as community name and boundaries. If the community boundary Shhp data is a line layer, it is converted into a community boundary polygon Shhp file using a GIS feature to polygon tool. If necessary, the community boundary polygon Shhp file is converted to the same projection coordinate system as the population profile net Shhp file using a GIS projection tool. The population profile net Shhp file and the community boundary polygon Shhp file are intersected using a GIS spatial intersection tool to obtain the community population profile Shhp file. Based on the community population profile Shhp file, fields for "Total Children," "Total Youth," "Total Elderly," and "Total Population" are added to summarize the population size for different target age groups.
[0025] Based on the above, in step 202, community boundary data within the target area is obtained, and combined with population distribution data for different target age groups within the target area, population distribution data for different age groups within each community of the target area is derived, specifically including: (b1) Obtain community boundary data within the target area, including community name, boundary and other information.
[0026] (b2) Preprocess the community boundary data to generate a community boundary surface layer with the same coordinate system as the population distribution data.
[0027] (b3) Spatially intersect the population profile fishing net data with the community boundary surface layer to obtain the community population profile data (i.e., the community population profile Shp file); the community population profile data includes the population distribution data of different age groups in each community of the target area.
[0028] In another exemplary embodiment of this application, in step 203, facility point of interest (POI) data, including name, type, coordinate values, etc., is obtained through an existing map service platform, and the coordinate values are converted into a geographic coordinate system. Based on the geographic coordinate values of the facility point of interest, a geographic coordinate system Shhp file is generated using GIS software. Using a GIS projection tool, the POI data is converted into a facility point of interest Shhp file with the same projection coordinate system as the community population profile file. Using a GIS spatial intersection tool, the community population profile Shhp file and the facility point of interest Shhp file are intersected to obtain a community facility point of interest distribution Shhp file containing the population profile.
[0029] Based on the above, in step 203, data on community facility interest points within the target area are obtained. Combined with the types of community facilities suitable for different target age groups, the types and quantities of community facilities already configured for different target age groups in each community are determined. Specifically, this includes: (c1) Obtain community facility points of interest (POI) data within the target area, including information such as name, type, and coordinates.
[0030] (c2) Preprocess the community facility point of interest data to generate community facility point of interest distribution data with the same coordinate system as the community population profile data.
[0031] (c3) Determine the appropriate type of community facilities for different target age groups.
[0032] Based on the Ministry of Housing and Urban-Rural Development's Standards for the Construction of Complete Residential Communities (Trial), the Urban Health Check Basic Indicator System at the Residential Community Level, and relevant indicators from the Technical Guidelines for Good Residential Communities and Good Communities, and referencing the Urban Health Check Indicator System of Territorial Spatial Planning (2025), the Guidelines for the Construction of Urban 15-Minute Convenience Living Circles, the Guidelines for the Construction of Child-Friendly Spaces, the Evaluation Standards for Youth-Oriented Development Cities, and the Guidelines for the Creation of Elderly-Friendly Communities, community facilities are divided into three categories: child-friendly, youth-friendly, and elderly-friendly. Considering the needs and pain points of different age groups, child-friendly community facilities are further subdivided into three categories: childcare services, children's education, and children's play areas; youth-friendly community facilities are subdivided into three categories: living services, cultural and sports activities, and parking and charging facilities; and elderly-friendly community facilities are subdivided into three categories: elderly care services, elderly meal assistance, and elderly services. Table 1 lists the search keywords for each type of community facility.
[0033] Table 1. Classification of Community Facilities and Examples of Keywords from an Age-Friendly Perspective
[0034] (c4) Based on the distribution data of community facility interest points (i.e., the community facility interest point distribution Shp file containing population profiles) and the community facility types suitable for different target age groups (establish the correspondence between various community facility keywords and community facility interest point types), generate a community facility classification distribution map containing population profiles; the community facility classification distribution map includes the types and quantities of community facilities configured for different target age groups in each community.
[0035] Based on the community facility interest point distribution Shapefile containing demographic profiles, add fields for "Child-Friendly Facility Category," "Youth-Friendly Facility Category," and "Senior-Friendly Facility Category." Using the child-friendly facility keywords in Table 1, retrieve the type value of each facility interest point. If a match is found, assign the value to the "Child-Friendly Facility Category" field. Similarly, assign values to the "Youth-Friendly Facility Category" and "Senior-Friendly Facility Category" fields by searching and matching keywords. Also based on the same Shapefile, add fields for "Child-Friendly Facility Subcategories," "Youth-Friendly Facility Subcategories," and "Senior-Friendly Facility Subcategories." Using the child-friendly facility keywords in Table 1, retrieve the type value of each facility interest point. If a match is found, assign the corresponding facility subcategory value (childcare, children's education, or children's play) to the "Child-Friendly Facility Subcategory" field. Similarly, assign values to the "Youth-Friendly Facility Subcategories" and "Senior-Friendly Facility Subcategories" fields by searching and matching keywords. Using GIS software, generate and display a community facility classification and distribution map that includes population profiles.
[0036] In another exemplary embodiment of this application, in step 204, based on a community facility classification and distribution map containing population profiles, the composition and quantity of child-, youth-, and elderly-friendly facilities in each community are statistically analyzed to generate the current status and structure of community facility construction from an all-age-friendly perspective. This is then displayed through visual charts to identify shortcomings and weaknesses in community facilities from an all-age-friendly perspective. For example... Figure 4 As shown.
[0037] In another exemplary embodiment of this application, the community facility supply and demand matching analysis method further includes: step 205: numerical quantitative analysis of the degree of perfection of community facility supply and demand matching, specifically: (d1) Calculate the construction score of age-friendly community facilities for each community based on the types and quantities of community facilities configured for different target age groups in each community.
[0038] (d2) Analyze the degree of matching between supply and demand of community facilities in each community based on the construction score of age-friendly community facilities in each community.
[0039] In step 205, based on an age-friendly perspective and using a 100-point scale, the scoring weights for the major and minor categories of child-, youth-, and elderly-friendly facilities are determined. Based on the composition and quantity of the major and minor categories of child-, youth-, and elderly-friendly facilities in each community, the construction score of age-friendly community facilities in each community is calculated. The progress of the complete community construction from an age-friendly perspective is then displayed through a visual chart, serving as a reference for formulating community renewal and complete community construction plans.
[0040] In another exemplary embodiment of this application, the community facility supply and demand matching analysis method further includes: step 206: analyzing communities with a high proportion of population in each target age group and analyzing the community facilities that need improvement, specifically: (e1) Determine the population size of each target age group in each community based on the population distribution data of different age groups in each community of the target area.
[0041] (e2) For each target age group, identify communities where the population of the corresponding target age group exceeds the corresponding preset population threshold, and find communities with a high population proportion in each target age group.
[0042] Based on the community population profile (Shp) files, the total number of children and the total population of each community's grid area are calculated, along with the percentage of children in each community. Communities with a higher percentage or total number of children than the average are identified as communities with a high number of children, and this information is visualized in charts. Similarly, the total number and percentage of young people in each community's grid area are calculated, and communities with a higher percentage or total number of young people than the average are identified as communities with a high number of young people, and this information is also visualized in charts. Finally, the total number and percentage of elderly people in each community's grid area are calculated, and communities with a higher percentage or total number of elderly people than the average are identified as communities with a high number of elderly people, and this information is also visualized in charts.
[0043] (e3) For each community with a high proportion of the target age group, determine the community facilities to be improved for the corresponding target age group based on the types and quantities of community facilities already configured for the corresponding target age group.
[0044] Based on community facility classification and distribution maps incorporating population profiles, this study analyzes the categories, subcategories, and quantities of child-friendly facilities in communities with a high number or proportion of children. Visual charts are used to identify shortcomings and weaknesses in these facilities (i.e., areas for improvement). Similarly, for communities with a high number or proportion of young people, this study analyzes the categories, subcategories, and quantities of youth-friendly facilities, identifying shortcomings and weaknesses in these facilities. Finally, for communities with a high number or proportion of elderly people, this study analyzes the categories, subcategories, and quantities of age-friendly facilities, identifying shortcomings and weaknesses in these facilities.
[0045] In another exemplary embodiment of this application, the community facility supply and demand matching analysis method, step 207, further includes: analyzing the supply of population-friendly facilities for each target age group in the community, specifically: (f1) Based on the types and quantities of community facilities configured for different target age groups in each community, identify communities where the number of community facilities for each target age group exceeds the corresponding preset facility threshold, and determine communities with a high proportion of population-friendly facilities for each target age group.
[0046] (f2) Visualize the communities with a high proportion of population-friendly facilities for each target age group and the corresponding types and quantities of community facilities.
[0047] Based on a community facility classification and distribution map including population profiles, the composition and quantity of child-friendly facilities in each community were statistically analyzed. Communities with a higher number or proportion of child-friendly facilities than the average were identified as communities with high numbers or proportions of child-friendly facilities, and this data was visualized in charts. Similarly, the composition and quantity of youth-friendly facilities in each community were statistically analyzed, and communities with a higher number or proportion of youth-friendly facilities than the average were identified as communities with high numbers or proportions of youth-friendly facilities, and this data was visualized in charts. Finally, the composition and quantity of senior-friendly facilities in each community were statistically analyzed, and communities with a higher number or proportion of senior-friendly facilities than the average were identified as communities with high numbers or proportions of senior-friendly facilities, and this data was visualized in charts.
[0048] The beneficial effects of this application are as follows: it does not rely on massive and complex data; the data requirements are simple, efficient, and without consistency issues. It only requires obtaining population location service data and population profile data from population mobile data service providers, overlaying community boundary data, to determine the distribution, quantity, and proportion of children, youth, and the elderly at the community level. It only requires obtaining facility point-of-interest data from existing map service platforms (such as Gaode Maps and Baidu Maps), overlaying community boundary data, to determine the distribution, quantity, and composition of child-, youth-, and elderly-friendly facilities at the community level. For communities with a high number or proportion of children, youth, and the elderly, comparative analysis of the composition and quantity of child-, youth-, and elderly-friendly facilities can accurately identify the shortcomings and weaknesses of certain types of facilities. Based on the composition and quantity of child-, youth-, and elderly-friendly facilities, it can accurately identify the shortcomings and weaknesses of community facilities from an all-age-friendly perspective. By determining the scoring weights for child-, youth-, and elderly-friendly facilities, it is possible to calculate the construction score of all-age-friendly facilities in each community, accurately assessing the progress of complete community construction from an all-age-friendly perspective.
[0049] This application can be implemented using software such as ArcGIS and QGIS, or through programming such as Arcpy and Python. It is easy to operate, has a rigorous process, is simple and efficient, easy to replicate and promote, has a wide range of application scenarios, and has strong scalability. It can flexibly adjust the analysis model according to the characteristics of different cities, communities, or urban areas to meet diverse practical needs.
[0050] This invention addresses the problems of traditional methods used in urban renewal and urban development, including comprehensive community construction and governance, which rely on large-scale manpower, questionnaires, indicator reporting, experience analysis, and inductive reasoning. These methods fail to accurately analyze the age structure and needs of the community population, the current distribution and composition of community facilities, or the matching of supply and demand for community facilities. This results in high community survey costs, large construction investments, and unsatisfactory implementation effects. This invention can pinpoint the distribution of children, youth, and the elderly population and the distribution of child-, youth-, and elderly-friendly facilities to each community, and conduct supply and demand matching analysis. It can accurately identify community shortcomings and weaknesses, precisely assess the progress of comprehensive community construction from an age-friendly perspective, significantly reduce survey costs, improve work efficiency, and provide decision-makers with intuitive and reliable reference data. This supports precise policy implementation in urban renewal and comprehensive community construction, making resource allocation more scientific and rational, achieving "great results with little money," and effectively enhancing the people's sense of gain, happiness, and security. It promotes the refinement and intelligence of urban governance and contributes to the high-quality development of people-oriented cities.
[0051] This application also provides an application scenario in which the above-mentioned community facility supply and demand matching analysis method is applied. Specifically, the community facility supply and demand matching analysis method provided in this embodiment can be applied to a complete community facility construction scenario in a city. This scenario includes a data collection stage and a data analysis stage; the data collection stage is used to collect population location service data and population profile data within the target area; the data analysis stage is used to analyze the community facility improvement items for each target age group in each community within the target area based on the data collected in the data collection stage, so as to assess the degree of facility construction improvement in each community in the city. The community facility supply and demand matching analysis method provided in this embodiment belongs to the data analysis stage.
[0052] In one exemplary embodiment, a computer device is provided, which may be a server or a terminal, and its internal structure diagram may be as follows. Figure 5As shown, the computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operating system and computer programs in the non-volatile storage media to run. The database stores community facility supply and demand matching analysis data. The I / O interfaces are used for information exchange between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a community facility supply and demand matching analysis method.
[0053] Those skilled in the art will understand that Figure 5 The structures shown are merely block diagrams of some structures related to the present application and do not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than shown in the figures, or combine certain components, or have different component arrangements. In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.
[0054] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.
[0055] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.
[0056] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Moreover, the collection, use and processing of the relevant data are carried out in compliance with the relevant data protection laws and policies of the country where the location is located, and with the authorization granted by the owner of the corresponding device.
[0057] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).
[0058] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.
[0059] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0060] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.
Claims
1. A community facility supply and demand matching analysis method, characterized by, include: Acquire population location service data and population profile data within the target area; based on the population location service data and population profile data, determine the population distribution data for different target age groups within the target area; the population profile data includes age group information of the population. Obtain community boundary data within the target area, and combine it with population distribution data for different target age groups within the target area to derive population distribution data for different age groups within each community of the target area; Acquire data on community facility interest points within the target area, and combine this with the types of community facilities suitable for different target age groups to determine the types and quantities of community facilities already configured for different target age groups in each community; Based on the population distribution data of different age groups in each community within the target area and the types and quantities of community facilities already configured for different target age groups in each community, the community facilities to be improved for each target age group in each community within the target area are determined.
2. The community facility supply and demand matching analysis method according to claim 1, characterized in that, The community facility supply and demand matching analysis method also includes: Calculate the construction score of age-friendly community facilities for each community based on the types and quantities of community facilities already configured for different target age groups in each community; Based on the construction score of age-friendly community facilities in each community, the degree of matching between supply and demand of community facilities in each community is analyzed.
3. The community facility supply and demand matching analysis method according to claim 1, characterized in that, The community facility supply and demand matching analysis method also includes: Based on the population distribution data of different age groups in each community of the target area, determine the population size of each target age group in each community. For each target age group, identify communities where the population of the corresponding target age group exceeds the corresponding preset population threshold, and determine the communities with a high proportion of population in each target age group. For each community with a high proportion of the target age group, the community facilities to be improved for the corresponding target age group are determined based on the types and quantities of community facilities already configured for that target age group.
4. The community facility supply and demand matching analysis method according to claim 1, characterized in that, The community facility supply and demand matching analysis method also includes: Based on the types and quantities of community facilities already configured for different target age groups in each community, communities with more than the corresponding preset facility threshold for each target age group are identified, and communities with a high proportion of population-friendly facilities for each target age group are determined. Visual charts are used to show the communities with a high proportion of population-friendly facilities for each target age group, along with the types and quantities of the corresponding community facilities.
5. The community facility supply and demand matching analysis method according to claim 1, characterized in that, Acquire population location service data and population profile data within the target area. Based on the population location service data and population profile data, determine the population distribution data for different target age groups within the target area, specifically including: Acquire population location service data and population profile data within the target area; the population location service data includes several grids within the target area, each grid point has corresponding coordinate values and population information; the population profile data includes several grids within the target area, each grid point has corresponding coordinate values and population information for each age group. Preprocess the population location service data to generate population distribution fishing net data; Based on the coordinate values of the grid points, the population distribution net data and the population profile data are correlated to obtain the population profile net data; the population profile net data includes population distribution data for different target age groups within the target area.
6. The community facility supply and demand matching analysis method according to claim 5, characterized in that, Obtain community boundary data within the target area, and combine it with population distribution data for different target age groups within the target area to derive population distribution data for different age groups within each community of the target area, specifically including: Obtain community boundary data within the target area; The community boundary data is preprocessed to generate a community boundary surface layer with the same coordinate system as the population distribution data. The population profile fishing net data is spatially intersected with the community boundary surface layer to obtain community population profile data; the community population profile data includes population distribution data of different age groups in each community of the target area.
7. The community facility supply and demand matching analysis method according to claim 6, characterized in that, Acquire data on community facility points of interest within the target area, and combine this data with the types of community facilities suitable for different target age groups to determine the types and quantities of community facilities already configured for different target age groups in each community. Specifically, this includes: Obtain data on points of interest for community facilities within the target area; The community facility point of interest data is preprocessed to generate community facility point of interest distribution data with the same coordinate system as the community population profile data; Determine the appropriate types of community facilities for different target age groups; Based on the distribution data of community facilities points of interest and the types of community facilities suitable for different target age groups, a community facility classification distribution map containing population profiles is generated. The community facility classification distribution map includes the types and quantities of community facilities configured for different target age groups in each community.
8. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that the processor executes the computer program to implement the community facility supply and demand matching analysis method according to any one of claims 1-7.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the community facility supply and demand matching analysis method as described in any one of claims 1-7.
10. A computer program product, comprising a computer program, characterized in that, When executed by a processor, the computer program implements the community facility supply and demand matching analysis method as described in any one of claims 1-7.