Evaluation method, system, equipment and medium for the coordination between sports facilities and population coupling

Abstract

The present invention discloses a method, system, equipment and medium for evaluating the coupling coordination between public sports facilities and population, including obtaining public sports facilities data, population data and urban development statistical yearbook; calculating the spatial geographic aggregation of public sports facilities and population according to the public sports facilities data and population data; calculating the development level evaluation value; allocating evaluation weights to the spatial geographic aggregation of public sports facilities and population according to the development level evaluation value; calculating the coupling coordination between public sports facilities and population according to the spatial geographic aggregation of public sports facilities and population and the corresponding evaluation weights. The present invention incorporates the development level of each region into the evaluation process, can more realistically measure the current coupling and coordinated development status of public sports facilities and population, and provides a reference for improving the service level of public sports facilities and promoting high-quality urban development.

Description

Technical Field

[0001] The present invention relates to the technical field of urban planning, and in particular to an evaluation method, system, equipment and medium for the coordination of coupling between public sports facilities and population. Background Art

[0002] Sports is an important way to improve people's health level and an important means to meet people's yearning for a better life and promote people's all-round development. As the main carrier of sports activities, public sports facilities have serious problems such as insufficient total amount, uneven distribution and mismatch between supply and demand, which have seriously affected residents' enthusiasm for participating in sports activities and the sustainability of urban development. Public sports facilities are an important part of urban public services, and population is a key indicator for the configuration of public sports facilities. Coupling coordination is dedicated to studying the relationship and coordination degree between multiple systems (elements) in a region, and providing causal analysis for the coordination results. Scientific and reasonable evaluation of urban public sports facilities based on population distribution is of great value for achieving a benign interaction between public sports facilities and population. It can promote the optimization of urban spatial structure and the tapping of social and economic development potential while meeting people's growing demand for better sports.

[0003] Regarding the research on the evaluation of facility coupling coordination, the existing technology tends to study the temporal evolution trend, change differences and influencing factors of the facility coupling system within a certain period of time, which can reflect the status and existing problems of the facilities in the development process to a certain extent. However, the existing technology often tends to ignore the impact of the urban development level (or development environment) in each period on the facility coupling coordination relationship, resulting in the research results being unable to provide more accurate guidance for configuration optimization. For example, Patent No. CN202011592496.8 discloses a method for configuring public open spaces in urban blocks based on actual population data. It proposes a method for calculating the scale of public open space configuration based on the area of ​​public open space required to accommodate various types of leisure activities, but it also has a defect that cannot be ignored: ignoring the impact of urban development level on public space and facility configuration, resulting in the research results being unable to provide accurate guidance for configuration optimization.

[0004] If the development level of urban areas can be reasonably included as an influencing factor in the study, it will be possible to measure the current coupled and coordinated development of public sports facilities and population in a more realistic way.

[0005] Therefore, the prior art still needs to be improved and developed. Summary of the invention

[0006] The purpose of the present invention is to provide an evaluation method, system, equipment and medium for the coupling coordination of public sports facilities and population, which incorporates the development level of various regions in the city into the evaluation process and can more realistically measure the current coupling and coordinated development status of public sports facilities and population.

[0007] The technical solution of the present invention is as follows:

[0008] A method for evaluating the coordination of public sports facilities and population coupling, comprising the following steps:

[0009] Step S1: Obtaining public sports facilities data, population data, and urban development statistical yearbooks;

[0010] Step S2: Calculate the spatial geographic concentration of public sports facilities and population in each region according to the public sports facilities data and population data;

[0011] Step S3: Calculate the development level evaluation value of each region in the region based on the city development statistical yearbook and combining the three dimensions of population, space and economy;

[0012] Step S4: assigning evaluation weights to the spatial geographic concentration of public sports facilities and the spatial geographic concentration of population according to the evaluation values ​​of the development levels of various regions in the region;

[0013] Step S5: According to the spatial geographic concentration of public sports facilities and population in each region and the corresponding evaluation weights, the coupling coordination degree between public sports facilities and population is calculated, and evaluation and optimization are performed.

[0014] The evaluation method for the coupling coordination between public sports facilities and population, wherein step S1 comprises:

[0015] Step S11: Based on the Baidu Map and / or Amap API interface, use Python program to crawl maps and public sports facilities data on the Internet;

[0016] Step S12: Obtain the city development statistical yearbook through the Internet, and extract macro-statistical data for measuring the development level of each region in the target area, wherein the macro-statistical data include population, cultivated land area and fiscal revenue.

[0017] The evaluation method for the coupling coordination between public sports facilities and population, wherein in step S2, the formula for calculating the spatial geographic concentration of public sports facilities and the spatial geographic concentration of population in each region within the region is as follows:

[0018]

[0019] Where: Gs, Gp are the spatial geographical concentration of public sports facilities and population respectively; si, pi, ni represent the number of public sports facilities, population and land area in region i respectively; S, P, N represent the total number of regional public sports facilities, total population and total land area respectively.

[0020] The evaluation method of the coupling coordination between public sports facilities and population, wherein step S3 comprises:

[0021] Step S31: According to the urban development statistical yearbook, determine the measurement indicators of the three dimensions of population, space and economy, where the population dimension is measured by the ratio of regional agricultural population to non-agricultural population Q, the spatial dimension is measured by the ratio of cultivated land area to regional total area S, and the economic dimension is measured by the ratio of fiscal revenue of the region to be evaluated to the total fiscal revenue of the region G;

[0022] Step S32: Perform Min-max normalization processing on the Q, S, and G data so that the index values ​​of the Q, S, and G data are all in [0,1], and the three-dimensional indicators of Q, S, and G are processed with equal weights to calculate the development level evaluation values ​​of each region in the region.

[0023] The evaluation method for the coupling coordination between public sports facilities and population, wherein step S4 comprises:

[0024] Step S41: taking the evaluation value of the development level of each region in the region as the evaluation weight ɑ of the spatial geographic concentration of public sports facilities;

[0025] Step S42: Use β as the evaluation weight of population spatial geographic concentration, where β = 1-ɑ.

[0026] The method for evaluating the coordination of coupling between public sports facilities and population, wherein step S5 comprises:

[0027] Step S51: Calculate the coupling degree between public sports facilities and population in each region according to the spatial geographic concentration of public sports facilities and the spatial geographic concentration of population. The formula is as follows:

[0028]

[0029] Where: Gs is the spatial geographical concentration of public sports facilities, Gp is ​​the spatial geographical concentration of population, Ci is the coupling degree between public sports facilities and population in region i, and K is the adjustment coefficient.

[0030] Step S52: Based on the coupling degree, spatial geographic concentration degree of public sports facilities, spatial geographic concentration degree of population and evaluation weights, the coupling coordination degree between public sports facilities and population in each region is calculated. The formula is as follows:

[0031] T i =αG S +βG P

[0032]

[0033] Where: Ti is the comprehensive evaluation index of public sports facilities and population, ɑ is the evaluation weight of the spatial geographical concentration of public sports facilities, β is the evaluation weight of the spatial geographical concentration of population, ɑ+β=1, Di is the coupling coordination degree, Di∈[0,1];

[0034] Step S53: Visualize the coupling and coordination relationship between public sports facilities and population in various regions within the region, and analyze the coupling and coordinated development of public sports facilities and population in various regions.

[0035] A system for coupling and coordinating public sports facilities and population, wherein the system for coupling and coordinating public sports facilities and population comprises:

[0036] An acquisition unit, used to acquire public sports facilities data, population data and urban development statistical yearbook;

[0037] A first calculation unit is used to calculate the spatial geographic concentration of public sports facilities and the spatial geographic concentration of population in each area according to the public sports facilities data and population data;

[0038] The second calculation unit is used to calculate the development level evaluation value of each region in the region based on the urban development statistical yearbook and combining the three dimensions of population, space and economy;

[0039] The first processing unit is used to assign evaluation weights to the spatial geographic concentration of public sports facilities and the spatial geographic concentration of population according to the evaluation values ​​of the development levels of various regions in the region;

[0040] The second processing unit is used to calculate the coupling coordination degree between public sports facilities and population according to the spatial geographical concentration of public sports facilities and population in each area and the corresponding evaluation weights, and to evaluate and optimize them.

[0041] A computer device, wherein the computer device includes a processor, and the processor is used to implement the steps of the evaluation method for the coordination of coupling between public sports facilities and population when executing a computer program stored in a memory.

[0042] A computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the steps of the evaluation method for the coordination of coupling between public sports facilities and population are implemented.

[0043] Beneficial effects of the invention: The invention provides an evaluation method for the coupling coordination between public sports facilities and population, and incorporates the development level of various regions in the city into the evaluation process. It can measure the current coupling and coordinated development status of public sports facilities and population in a more realistic manner, and evaluate the coupling coordination between sports facilities and population in various regions of the city, providing a reference for further improving the service level of public sports facilities and promoting high-quality urban development. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 is a flow chart of the steps of the evaluation method of the present invention;

[0045] Figure 2 A development level map of each town (street) in Pudong New Area, Shanghai according to an embodiment of the present invention;

[0046] Figure 3 The calculation results of the coupling degree and coupling coordination degree of public sports facilities and population in each town (street) of Pudong New Area, Shanghai in the embodiment of the present invention;

[0047] Figure 4 It is the classification standard of coupling degree and coupling coordination degree between public sports facilities and population in towns (streets) of Shanghai Pudong New Area in the embodiment of the present invention;

[0048] Figure 5 This is a diagram of the matching types of public sports facilities and population in various towns (streets) in Pudong New Area, Shanghai, according to an embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to make the objectives, technical solutions and advantages of the present invention more clear and explicit, the present invention is further described in detail below with reference to the accompanying drawings and examples.

[0050] The present invention provides a method for evaluating the coordination of public sports facilities and population coupling. In this embodiment, Shanghai Pudong New Area is taken as an example for specific description. Figure 1 , the evaluation method includes the following steps:

[0051] Step S1: Obtaining public sports facilities data, population data and urban development statistical yearbook; Step S1 includes the following steps:

[0052] Step S11: Based on the API interface of Baidu Map and / or AutoNavi Map, use Python program to crawl the map and public sports facilities data on the Internet. In this embodiment, taking Shanghai Pudong New Area as an example, the specific steps are to log in to Baidu and AutoNavi Map open platforms, complete program design and apply for App-key and App-secert through the SDK toolkit provided by the electronic map, perform Oauth2.0 authorization, and obtain Access Token; based on the map API interface, crawl the map and the public sports facilities data of Pudong New Area on the relevant web pages with the help of the self-developed Python program, and extract the name, address, coordinates and other public sports facilities feature data after cleaning and screening.

[0053] Step S12: Obtain the city development statistical yearbook through the Internet, and extract macro-statistical data for measuring the development level of each region in the target area, wherein the macro-statistical data include population, cultivated land area, and fiscal revenue. Specifically, obtain the Pudong Development Statistical Yearbook, obtain macro-statistical data such as population, cultivated land area, and fiscal revenue of 36 towns (streets) in Pudong New Area, and use them to measure the regional development level of 36 towns (streets) in Pudong New Area.

[0054] Step S2: Based on the public sports facilities data and population data, the spatial geographic concentration of public sports facilities and the spatial geographic concentration of population in each region are calculated; in step S2, the formula for calculating the spatial geographic concentration of public sports facilities and the spatial geographic concentration of population in each region is as follows, taking into account the population size, the number of facilities and the regional area:

[0055]

[0056] Where: Gs, Gp are the spatial geographical concentration of public sports facilities and population respectively; si, pi, ni represent the number of public sports facilities, population and land area in region i respectively; S, P, N represent the total number of regional public sports facilities, total population and total land area respectively.

[0057] In this embodiment, Pudong New Area is taken as an example to calculate the spatial geographical concentration of public sports facilities and population in its 36 towns (streets). The si, pi, and ni in the above formula respectively represent the number of public sports facilities, population, and land area in town (street) i; S, P, and N respectively represent the total number of public sports facilities, total population, and total land area in Pudong New Area.

[0058] Step S3: Calculate the development level evaluation value of each region in the region based on the city development statistical yearbook and combining the three dimensions of population, space and economy; Step S3 includes the following steps:

[0059] Step S31: According to the urban development statistical yearbook, determine the measurement indicators of the three dimensions of population, space and economy, where the population dimension is measured by the ratio of regional agricultural population to non-agricultural population Q, the spatial dimension is measured by the ratio of cultivated land area to regional total area S, and the economic dimension is measured by the ratio of fiscal revenue of the region to be evaluated to the total fiscal revenue of the region G;

[0060] Step S32: Perform Min-max normalization processing on the Q, S, and G data so that the index values ​​of the Q, S, and G data are all in [0,1]. At the same time, in order to facilitate the calculation of the development level of each region in the region, the three dimensional indicators of Q, S, and G are processed with equal weights to calculate the evaluation value of the development level of each region in the region. Figure 2 In this embodiment, the development level evaluation values ​​of 36 towns (sub-districts) in Pudong New Area are calculated. Towns (sub-districts) with development level evaluation values ​​in [0.75, 1] ​​are Class I areas, towns (sub-districts) in [0.5, 0.75] are Class II areas, and towns (sub-districts) in [0, 0.5] are Class III areas.

[0061] Step S4: assigning evaluation weights to the spatial geographic concentration of public sports facilities and the spatial geographic concentration of population according to the evaluation values ​​of the development levels of various regions in the region; wherein, step S4 includes the following steps:

[0062] Step S41: In the evaluation process, the influence of the development level of each town (street) in Pudong New Area is considered, and the development level evaluation value of each region (towns and streets in Pudong New Area) in the region is used as the evaluation weight ɑ of the spatial geographical concentration of public sports facilities;

[0063] Step S42: Use β as the evaluation weight of population spatial geographic concentration, where β = 1-ɑ.

[0064] Step S5: Calculate the coupling coordination between public sports facilities and population according to the spatial geographic concentration of public sports facilities and population in each region and the corresponding evaluation weights, and evaluate and optimize. Step S5 includes the following steps:

[0065] Step S51: Calculate the coupling degree between public sports facilities and population in each region according to the spatial geographic concentration of public sports facilities and the spatial geographic concentration of population. The formula is as follows:

[0066]

[0067] Where: Gs is the spatial geographic concentration of public sports facilities, Gp is ​​the spatial geographic concentration of population, and Ci is the coupling degree between public sports facilities and population in region i. K is the adjustment coefficient (K≥2). In this embodiment, K=2. The value of Ci is between 0 and 1. When Ci is 0, it means that there is no interaction between systems (or elements); when Ci is 1, it means that the relationship between systems (or elements) is close.

[0068] Step S52: Based on the coupling degree, spatial geographic concentration degree of public sports facilities, spatial geographic concentration degree of population and evaluation weights, the coupling coordination degree between public sports facilities and population in each region is calculated. The formula is as follows:

[0069] T i =αG S +βG P

[0070]

[0071] Where: Ti is the comprehensive evaluation index of public sports facilities and population, ɑ is the evaluation weight of the spatial geographical concentration of public sports facilities, β is the evaluation weight of the spatial geographical concentration of population, ɑ+β=1, Di is the coupling coordination degree, Di∈[0,1], the higher the value, the more coordinated the development.

[0072] Step S53: Visualize the coupling and coordination relationship between public sports facilities and population in various regions within the region, and analyze the coupling and coordinated development of public sports facilities and population in various regions.

[0073] In this embodiment, the coupling coordination results between public sports facilities and population in 36 towns in Pudong New Area are calculated (e.g. Figure 3 As shown), refer to the classification standards (such as Figure 4 ), and visualize the research results (as shown in Figure 5 As shown in the figure, the coordinated development of public sports facilities and population in 36 towns in Pudong New Area was analyzed, problems were discovered and their causes were identified, and suggestions for optimizing the configuration of public sports facilities that were appropriate to the level of regional development were put forward.

[0074] Depend on Figures 3 to 5 It can be seen that the geographical distribution of public sports facilities and population in Pudong New Area shows the spatial characteristics of "dense urban areas and sparse suburbs", but there is a high degree of coupling between the two; the overall coupling coordination degree shows hierarchical differences with the level of regional development, and some peripheral areas are exposed to the development dilemma of "high coupling, low coupling coordination".

[0075] Furthermore, this embodiment also provides a system for coupling and coordinating public sports facilities with population, wherein the system for coupling and coordinating public sports facilities with population includes:

[0076] An acquisition unit, used to acquire public sports facilities data, population data and urban development statistical yearbook;

[0077] A first calculation unit is used to calculate the spatial geographic concentration of public sports facilities and the spatial geographic concentration of population in each area according to the public sports facilities data and population data;

[0078] The second calculation unit is used to calculate the development level evaluation value of each region in the region based on the urban development statistical yearbook and combining the three dimensions of population, space and economy;

[0079] The first processing unit is used to assign evaluation weights to the spatial geographic concentration of public sports facilities and the spatial geographic concentration of population according to the evaluation values ​​of the development levels of various regions in the region;

[0080] The second processing unit is used to calculate the coupling coordination degree between public sports facilities and population according to the spatial geographical concentration of public sports facilities and population in each area and the corresponding evaluation weights, and to evaluate and optimize them.

[0081] This embodiment also provides a computer device, wherein the computer device includes a processor, and the processor is used to implement the steps of the evaluation method for the coordination of coupling between public sports facilities and population when executing a computer program stored in a memory.

[0082] This embodiment also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method for evaluating the coordination of coupling between public sports facilities and population.

[0083] The present invention incorporates the development level of various regions in the city into the evaluation process, considers the influence of the development level of various regions in the evaluation area during the evaluation process, takes the evaluation value of the development level of various regions in the region as the evaluation weight ɑ of the spatial geographical concentration of public sports facilities, and takes β as the evaluation weight of the spatial geographical concentration of the population, so that the calculation result of the coupling coordination degree takes into account factors more comprehensively and objectively, and the measurement of the current coupling and coordinated development status of public sports facilities and population is more in line with reality, thereby improving the accuracy and objectivity of the evaluation.

[0084] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A method for evaluating the coordination between public sports facilities and population coupling, characterized in that: The following steps are involved: Step S1: Obtaining public sports facilities data, population data, and urban development statistical yearbooks; Step S2: Calculate the spatial geographic concentration of public sports facilities and population in each region according to the public sports facilities data and population data; Step S3: Calculate the development level evaluation value of each region in the region based on the city development statistical yearbook and combining the three dimensions of population, space and economy; Step S4: assigning evaluation weights to the spatial geographic concentration of public sports facilities and the spatial geographic concentration of population according to the evaluation values ​​of the development levels of various regions in the region; Step S5: Calculate the coupling coordination degree between public sports facilities and population according to the spatial geographic concentration degree of public sports facilities and population in each region and the corresponding evaluation weights, and evaluate and optimize them; The step S1 comprises: Step S11: Based on the Baidu Map and / or Amap API interface, use Python program to crawl maps and public sports facilities data on the Internet; Step S12: Obtaining the city development statistical yearbook through the Internet, extracting macro-statistical data for measuring the development level of each region in the target area, wherein the macro-statistical data include population, cultivated land area and fiscal revenue; In step S2, the formula for calculating the spatial geographic concentration of public sports facilities and population in each region within the region is as follows: Where: Gs, Gp are the spatial geographic concentration of public sports facilities and the spatial geographic concentration of population respectively; si, pi, ni represent the number of public sports facilities, the number of population and the land area in region i respectively; S, P, N represent the total number of public sports facilities, the total population and the total land area in the region respectively; Step S3 comprises: Step S31: According to the urban development statistical yearbook, determine the measurement indicators of the three dimensions of population, space and economy, where the population dimension is measured by the ratio of regional agricultural population to non-agricultural population Q, the spatial dimension is measured by the ratio of cultivated land area to regional total area S, and the economic dimension is measured by the ratio of fiscal revenue of the region to be evaluated to the total fiscal revenue of the region G; Step S32: Perform Min-max normalization processing on the Q, S, and G data so that the index values ​​of the Q, S, and G data are all in [0,1], and the three-dimensional indicators of Q, S, and G are processed with equal weights to calculate the development level evaluation values ​​of each region in the region.

2. The evaluation method for the coordination of public sports facilities and population coupling according to claim 1 is characterized in that: The step S4 comprises: Step S41: taking the evaluation value of the development level of each region in the region as the evaluation weight ɑ of the spatial geographic concentration of public sports facilities; Step S42: Use β as the evaluation weight of population spatial geographic concentration, where β = 1-ɑ.

3. The evaluation method for the coordination of public sports facilities and population coupling according to claim 2 is characterized in that: The step S5 comprises: Step S51: Calculate the coupling degree between public sports facilities and population in each region according to the spatial geographic concentration of public sports facilities and the spatial geographic concentration of population. The formula is as follows: Where: Gs is the spatial geographic concentration of public sports facilities, Gp is ​​the spatial geographic concentration of population, Ci is the coupling degree between public sports facilities and population in region i, and K is the adjustment coefficient; Step S52: Based on the coupling degree, spatial geographic concentration degree of public sports facilities, spatial geographic concentration degree of population and evaluation weights, the coupling coordination degree between public sports facilities and population in each region is calculated. The formula is as follows: T i =αG S +βG P Where: Ti is the comprehensive evaluation index of public sports facilities and population, ɑ is the evaluation weight of the spatial geographical concentration of public sports facilities, β is the evaluation weight of the spatial geographical concentration of population, ɑ+β=1, Di is the coupling coordination degree, Di∈[0,1]; Step S53: Visualize the coupling and coordination relationship between public sports facilities and population in various regions within the region, and analyze the coupling and coordinated development of public sports facilities and population in various regions.

4. A system for coupling and coordinating public sports facilities and population, characterized in that: The system for coupling and coordinating public sports facilities with population includes: An acquisition unit is used to acquire public sports facilities data, population data and city development statistical yearbooks, including: based on Baidu Maps and / or Amap API interfaces, using Python programs to crawl maps and public sports facilities data on the Internet, acquiring city development statistical yearbooks through the Internet, and extracting macro-statistical data for determining the development level of each region in the target area, wherein the macro-statistical data include population, cultivated land area and fiscal revenue; The first calculation unit is used to calculate the spatial geographic concentration of public sports facilities and the spatial geographic concentration of population in each region in the region according to the public sports facilities data and the population data; wherein the formula for calculating the spatial geographic concentration of public sports facilities and the spatial geographic concentration of population in each region in the region is as follows: Where: Gs, Gp are the spatial geographic concentration of public sports facilities and population respectively; si, pi, ni represent the number of public sports facilities, population and land area in region i respectively; S, P, N represent the total number of regional public sports facilities, total population and total land area respectively; The second calculation unit is used to calculate the development level evaluation value of each region in the region based on the urban development statistical yearbook and the three dimensions of population, space and economy, including: determining the measurement indicators of the three dimensions of population, space and economy based on the urban development statistical yearbook, wherein the population dimension is measured by the ratio Q of the regional agricultural population to the non-agricultural population, the spatial dimension is measured by the ratio S of the cultivated land area to the total area of ​​the region, and the economic dimension is measured by the ratio G of the fiscal revenue of the region to be evaluated to the total fiscal revenue of the region, Perform Min-max normalization processing on the Q, S, and G data so that the index values ​​of the Q, S, and G data are all in [0, 1], and calculate the development level evaluation values ​​of each region in the region by processing the three dimensional indicators of Q, S, and G with equal weights; The first processing unit is used to assign evaluation weights to the spatial geographic concentration of public sports facilities and the spatial geographic concentration of population according to the evaluation values ​​of the development levels of various regions in the region; The second processing unit is used to calculate the coupling coordination degree between public sports facilities and population according to the spatial geographical concentration of public sports facilities and population in each area and the corresponding evaluation weights, and to evaluate and optimize them.

5. A computer device, characterized in that: The computer device includes a processor, and the processor is used to implement the steps of the method for evaluating the coordination of coupling between public sports facilities and population as described in any one of claims 1 to 3 when executing a computer program stored in a memory.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for evaluating the coordination of coupling between public sports facilities and population as described in any one of claims 1 to 3 are implemented.

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