A method and system for evaluating the allocation of county-level public service facilities

Abstract

The present invention discloses a method and system for evaluating the allocation of county-level public service facilities, belonging to the field of evaluating the allocation of public service facilities; the evaluation method includes: according to the actual population spatial distribution data, outputting the population quantity, characteristics and corresponding facility requirements of the actual staying population in each basic spatial unit to obtain the theoretical demand value of the public service facility allocation; according to the actual public service facility spatial distribution data, outputting the supply area of various public service facilities in each basic spatial unit to obtain the actual supply value of the public service facility allocation; comparing the theoretical demand value and the actual supply value of the public service facility allocation in each basic spatial unit, outputting the supply-demand matching degree of the public service facility allocation, and evaluating and supplementing the public service facilities in each basic spatial unit; it can more specifically and accurately judge the flow direction and distribution of residents at different time periods, and reflect the usage situation of public service facilities and the dynamic demand changes of residents.

Description

Technical Field

[0001] The present invention belongs to the field of evaluation of the configuration of public service facilities, and particularly relates to a method and system for evaluating the configuration of county-level public service facilities. Background Art

[0002] Strengthening the supply capacity of county-level public service facilities and adapting to the needs of urban-rural integration development are the key to improving the quality of county-level urbanization; at present, the evaluation methods of public service facilities configuration mainly focus on the two aspects of supply and demand.

[0003] Evaluation of the Supply of Public Service Facilities

[0004] The evaluation of the supply of public service facilities mainly includes qualitative research and quantitative research; qualitative research mainly discovers the spatial layout problems and their causes of supply through on-site investigations; quantitative research mainly analyzes and evaluates the spatial distribution characteristics of facilities and the relevance between space and society by using methods such as facility accessibility analysis, spatial autocorrelation analysis, and kernel density analysis. This method mainly starts from the supply side of public service facilities for evaluation, ignoring the social and economic attributes, real needs, and usage preferences of different groups, and it is difficult to reflect the matching situation between county-level facility supply and the differentiated needs of county residents.

[0005] Evaluation of the Demand for Public Service Facilities

[0006] The analysis of the demand for public service facilities is usually achieved by investigating residents' satisfaction and their travel behavior preferences. Traditional research and measurement methods for residents' needs include questionnaire surveys, analysis of service population structure, analysis of housing price equations, construction of demand indices, etc. There is little quantitative analysis and prediction of the demand for public service facilities from the perspective of residents' spatio-temporal behavior characteristics, and it is difficult to reflect the actual situation and dynamic demand of different groups in the county for using various public service facilities. Summary of the Invention

[0007] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide a method and system for evaluating the configuration of county-level public service facilities.

[0008] The purpose of the present invention can be achieved by the following technical solutions:

[0009] A method for evaluating the configuration of county-level public service facilities includes the following steps:

[0010] S1, according to the actual population spatial distribution data, output the population quantity, characteristics, and corresponding facility demands of the actual staying population in each basic spatial unit, and obtain the theoretical demand value of public service facility configuration;

[0011] S2. Output the supply area of various public service facilities in each basic spatial unit according to the actual spatial distribution data of public service facilities, and obtain the actual supply value of the public service facility configuration.

[0012] S3. Compare the theoretical demand value and the actual supply value of the public service facility configuration in each basic spatial unit, output the supply-demand matching degree of the public service facility configuration, and evaluate the supply-demand matching degree of the public service facilities in the basic spatial unit and the overall supply-demand matching degree of the county-level public service facilities.

[0013] Furthermore, the steps to solve the theoretical demand value of the public service facility configuration are as follows:

[0014] S11. Identify the actual place of residence and workplace according to the stay duration and stay location of the user's mobile phone signaling data at different time periods, so as to support the public service facilities for the two different needs of living and working.

[0015] S12. Based on the basic scale measured by the mobile phone signaling data, create corresponding grid divisions in the ArcGIS platform to divide the county as the basic spatial unit for analysis, and crop according to the administrative division range; establish a spatial connection to map the attributes of each mobile phone signaling data to the corresponding basic spatial unit, so that each basic spatial unit has the data of residents' spatio-temporal behavior characteristics.

[0016] S13. Sort out and construct the configuration standard table of county-level grass-roots public service facilities, and classify the county-level grass-roots public service facilities; configure the corresponding public service facilities according to the different attributes of the workplace and the place of residence; sort out the configuration requirements of the grass-roots public service facilities to obtain two indicators: the per capita land area A and the service radius R of various public service facilities.

[0017] S14. Calculate the theoretical demand value, and the calculation formula is:

[0018] D ij = A j * P ij

[0019] In the formula: D ij is the theoretical demand value of the jth type of public service facility in the basic spatial unit i, A j is the per capita area of the jth type of public service facility, and P ij is the number of people that the jth type of public service facility in the basic spatial unit i should serve.

[0020] Furthermore, in S11, the place of residence is identified as the place with the longest stay duration from 21:00 at night to 8:00 the next day; the workplace is identified as the place with the longest stay duration from 9:00 to 17:00 on weekdays.

[0021] Further, in S12, the resident spatio-temporal behavior characteristic data includes: residence or workplace attributes and population quantity.

[0022] Further, in S13, the county-level grass-roots public service facilities can be divided into 8 categories: administration, education, culture, commerce, medical care, sports, elderly care, and transportation.

[0023] Further, the steps for solving the actual supply value of the public service facility configuration include:

[0024] S21, according to the classification of the county-level grass-roots public service facilities in S13, obtain the facility name, spatial location, land form, and land area of the corresponding facilities;

[0025] S22, calculate the actual supply value:

[0026] The area covered by the public service facility G with R as the service radius is the service scope. The basic spatial units covered by the service scope can be divided into: basic spatial units completely covered by the service scope and basic spatial units not completely covered by the service scope;

[0027] The supply area S obtained by the completely covered basic spatial unit A The calculation formula is:

[0028]

[0029] The supply area S obtained by the not completely covered basic spatial unit B The calculation formula is:

[0030]

[0031] In the formula: m is the number of completely covered basic spatial units, n is the number of not completely covered basic spatial units, S G is the land area of the facility G, S i is the coverage area of the i-th of the n non-complete basic spatial units, and S is the area of each basic spatial unit;

[0032] Add up the supply areas of the same type of facilities within the basic spatial unit.

[0033] Further, in S3, the steps for analyzing the supply-demand matching of the county-level public service facilities include:

[0034] S31, calculate the supply-demand matching degree of the public service facilities in the basic spatial unit;

[0035]

[0036] In the formula, S ij is the actual supply value of the j-type public service facility in the basic spatial unit i, Dij is the theoretical demand value of public service facilities of type j in basic spatial unit i, M ij is the supply-demand matching degree of public service facilities of type j in basic spatial unit i;

[0037] S32, calculate the supply-demand matching degree of public service facilities in the whole county;

[0038]

[0039] In the formula, a is the number of basic spatial units, b is the type of public service facilities, M ij is the supply-demand matching degree of public service facilities of type j in basic spatial unit i, and M is the supply-demand matching degree of public service facilities in the whole county;

[0040] S33, evaluate the supply-demand matching degree of public service facilities in basic spatial units and the supply-demand matching degree of public service facilities in the whole county.

[0041] Furthermore, in S33, the evaluation criteria for the supply-demand matching degree are as follows:

[0042] When the supply-demand matching degree is less than 0.6, it indicates that the supply of public service facilities is seriously insufficient; when it is between 0.6 and 0.85, it indicates insufficient supply; when it is between 0.85 and 1.15, it indicates that the supply and demand are basically matched; when it is between 1.15 and 1.4, it indicates an oversupply; when it is greater than 1.4, it indicates that the supply of public service facilities is excessive.

[0043] A county public service facility configuration evaluation system includes: a public service facility configuration demand measurement module, a public service facility configuration supply measurement module, and a supply-demand matching operation module;

[0044] The public service facility configuration demand measurement module: According to the actual population spatial distribution data, output the population quantity, characteristics, and corresponding facility demands of the actual staying population in each basic spatial unit, and obtain the theoretical demand value of public service facility configuration;

[0045] The public service facility configuration supply measurement module: According to the actual public service facility spatial distribution data, output the supply area of various public service facilities in each basic spatial unit, and obtain the actual supply value of public service facility configuration;

[0046] The supply-demand matching operation module: Compare the theoretical demand value and the actual supply value of public service facility configuration in each basic spatial unit, output the supply-demand matching degree of public service facility configuration, and evaluate the supply-demand matching degree of public service facilities in basic spatial units and the supply-demand matching degree of public service facilities in the whole county.

[0047] A computer storage medium stores a readable program, which, when running, executes the above method.

[0048] Advantages of the present invention:

[0049] 1) By reflecting the spatio-temporal behavior characteristics of residents through a large amount of mobile signaling dynamic data, the present invention can more specifically and accurately judge the flow direction and distribution of residents in different time periods, thereby reflecting the usage of public service facilities and the dynamic demand changes of residents.

[0050] 2) By using the land area to build a bridge for evaluation between supply and demand, and by obtaining the AOI surface element data of public service facilities, the present invention can make up for the shortcomings and deficiencies of simply using POI point facility data in the past. For example, to accurately obtain the service scope of public service facilities, a buffer zone with a service radius is made outward with the facility as the center in the ArcGIS platform. The boundary expansion of the AOI element has more accurate expressiveness and computing power than the center expansion of the POI element.

[0051] 3) The present invention pays attention to the supply-demand problem of public service facilities at the county level, fully considers factors such as large population flow at the county level and insufficient guarantee of grass-roots public service facilities, takes the matching of county-level element supply and demand as the guiding principle, and based on the spatio-temporal behavior characteristics of residents and the distribution characteristics of current facilities, uses grid statistical analysis to measure the matching degree of the supply and demand of public service facilities in the county, so as to guide the planning, regulation and layout of public service facilities in each region within the county. Description of the Drawings

[0052] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0053] Figure 1 is the overall method flow chart of the present invention;

[0054] Figure 2 is the spatial distribution map of the resident population in a certain county of the present invention;

[0055] Figure 3 is the spatial distribution map of the working population in a certain county of the present invention;

[0056] Figure 4 is the calculation mode diagram of the facility supply area of the present invention. Detailed Embodiments

[0057] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] like Figure 1 As shown, a method for evaluating the configuration of county public service facilities includes the following steps:

[0059] S1, demand measurement for configuration of county public service facilities;

[0060] The spatial distribution data of public service facilities in each basic spatial unit of the county are collected, and based on the actual population spatial distribution data and the national standard for the configuration of county public service facilities, the population size, characteristics and corresponding facility requirements of the actual resident population in each basic spatial unit are output to obtain the theoretical value of the demand for public service facility configuration; the specific calculation and solution steps are as follows:

[0061] 1) In order to grasp the actual dynamic needs of county residents for public service facilities, the present invention reflects the spatiotemporal behavior characteristics of residents by acquiring massive mobile phone signaling data. Each point element of mobile phone signaling data has spatial attributes (latitude and longitude coordinates), and the spatial position is homogeneously distributed (for example, accurate to a grid of 150m*150m), and has crowd characteristic attributes, including the number of visitors, age, gender, etc. First, according to the length of stay and the location of stay in different time periods of the user's mobile phone signaling data, the actual residence and work place are identified, such as Figure 2 , Figure 3 As shown, public service facilities are provided to meet the two different needs of living and working. The residence is identified as the place with the longest stay time at night (21:00-8:00 the next day); the work place is identified as the place with the longest stay time during the daytime on weekdays (9:00-17:00).

[0062] 2) Based on the basic scale of mobile phone signaling data measurement, create corresponding grid-divided counties in ArcGIS platform as the basic spatial units for analysis, and cut them according to the administrative divisions; establish spatial connections so that each base station corresponds to the basic spatial unit to which it belongs, that is, each spatial unit has the data attributes of the base station, such as population size; through this step, obtain the corresponding residence or work place attributes and the corresponding population size of each basic spatial unit.

[0063] 3) Next, sort out and construct the allocation standard table of county-level grass-roots public service facilities. Considering factors such as county-level public service functions and residents' needs, the categories of county-level grass-roots public service facilities are divided into two major categories and eight sub-categories; the two major categories refer to basic service facilities and extended service facilities. Among them, basic public service facilities refer to public service facilities such as education, health, and elderly care that guarantee residents' daily lives; extended public service facilities refer to public service facilities that provide higher quality and wider service scope on the basis of guaranteeing residents' daily needs. The eight sub-categories refer to eight categories of public service facilities closely related to residents' lives, namely administration, education, culture, commerce, medical care, sports, elderly care, and transportation. The specific facilities are shown in the following table:

[0064]

[0065] Through the above steps of identifying the workplaces and residences using mobile signaling data, allocate corresponding public service facilities according to the different attributes of workplaces and residences, as shown in the following table:

[0066]

[0067] Based on national standards such as "Urban Public Service Facility Planning Standard GB50442-2018" and "Urban Residential Area Planning and Design Standard GB50108-2018", sort out the allocation requirements of grass-roots public service facilities, and organize the core control requirements such as land area, service population, and service radius respectively; obtain two major indicators: the per capita land area A (㎡ / person) and service radius R (m) of various public service facilities.

[0068] Taking a certain county as an example, according to the data of the seventh national population census, the permanent population of this area is 639,266 people. Therefore, the allocation standard is mainly restricted by conditions such as population scale and county standards; taking the calculation of the per capita land area of the cultural center as an example, according to the "Urban Public Service Facility Planning Standard GB50442-2018", a medium-sized museum should be set up in this county, with the land area in the range of 3,500-6,000 ㎡, the service radius of 6,000 m, and the service population of 500,000-1,000,000. Therefore, take the median value in the range for calculation. The per capita land area of the cultural center = 4,750 / 750,000 = 0.006 ㎡ / person; thus, the allocation standard table of public service facilities in this county is obtained, as shown in the following table:

[0069]

[0070] 4) Finally, calculate the theoretical demand value of public service facilities. Based on the above steps, the attributes of each basic spatial unit can be obtained as shown in the following table:

[0071]

[0072] Demand area of each basic spatial unit = per capita area of various service facilities * number of corresponding population

[0073] D ij = A j * P ij

[0074] In the formula: D ij is the theoretical demand value of the j - type public service facility in the basic spatial unit i, A j is the per capita area of the j - type public service facility, P ij is the number of the population that the j - type public service facility in the basic spatial unit i should serve.

[0075] S2, supply measurement of the allocation of county - level public service facilities;

[0076] According to the actual spatial distribution data of public service facilities, output the supply area of various public service facilities in each basic spatial unit to obtain the actual supply value of the allocation of public service facilities; the specific solution steps are as follows:

[0077] 1) To measure the supply degree of the current public service facilities, determine the service scope of the current public service facilities through their spatial locations and service radii; first, according to the categories of the county - level grass - roots public service facilities obtained in the above steps, obtain the AOI data of the corresponding facilities, and the data attributes include facility name, spatial location, land form, and land area.

[0078] 2) Then calculate the actual supply value of each basic spatial unit. Guided by the principle of equalization of public service facilities, as Figure 4 shown, taking the public service facility G as an example, its service radius is obtained from the county - level public service facility allocation standard table as R meters; in the ArcGIS platform, make a buffer with a radius of R meters centered on the surface element G, and the covered part of the buffer is the area where services can be obtained; to achieve equalized supply, the supply area obtained by each basic spatial unit covered by the facility G is equal, that is, evenly distribute the supply area of the facility G to each basic spatial unit within the covered range;

[0079] The basic spatial units covered by the service scope can be divided into two situations. One is the basic spatial unit completely covered by the service scope, such as A( Figure 4 ), and the other is the basic spatial unit not completely covered by the service scope, such as B( Figure 4 );

[0080] The supply area S obtained by the basic spatial unit A A = the land area of the facility G evenly distributed to each basic spatial unit;

[0081]

[0082] The supply area S obtained by the basic space unit B B = Coverage area / Basic cell area * Land area of facility G evenly distributed to each basic space unit;

[0083]

[0084] In the formula: m is the number of basic space units with complete coverage, n is the number of basic space units with incomplete coverage, S G is the land area of facility G, S i is the coverage area of the i-th of the n non-complete basic space units, and S is the area of each basic space unit.

[0085] Moreover, the supply areas of the same type of facilities within the basic space unit are added together.

[0086] S3, Analysis of the supply-demand matching of county public service facilities;

[0087] Match the theoretical demand value and the actual supply value of the public service facilities in each basic space unit, output the supply-demand matching degree of the public service facility configuration, and evaluate and supplement the public service facilities in each basic space unit;

[0088] The steps of the analysis of the supply-demand matching of county public service facilities specifically include:

[0089] 1) Calculate the supply-demand matching degree of the public service facilities in the basic space unit; The supply-demand matching degree of the public service facilities in the basic space unit = Theoretical demand value / Actual supply value;

[0090]

[0091] In the formula, S ij is the actual supply value of the j-th type of public service facility in the basic space unit i, D ij is the theoretical demand value of the j-th type of public service facility in the basic space unit i, M ij is the supply-demand matching degree of the j-th type of public service facility in the basic space unit i;

[0092] 2) Calculate the supply-demand matching degree of the overall county public service facilities; Sum and average the supply-demand matching degrees of all types of public service facilities in all basic space units within the research scope to obtain the matching degree of the overall county public service facility configuration;

[0093]

[0094] In the formula, a is the number of basic space units, b is the type of public service facilities, M ij is the supply-demand matching degree of the j-th type of public service facility in the basic space unit i, and M is the supply-demand matching degree of the overall county public service facilities;

[0095] 3) Evaluation of the matching degree between the supply and demand of public service facilities; as shown in the following table, when the matching degree between supply and demand is less than 0.6, it indicates a serious shortage in the supply of public service facilities; when it is between 0.6 and 0.85, it indicates a shortage in supply; when it is between 0.85 and 1.15, it indicates a basic match between supply and demand; when it is between 1.15 and 1.4, it indicates an oversupply; when it is greater than 1.4, it indicates an overabundance in the supply of public service facilities in this basic spatial unit.

[0096]

[0097] 4) The overall matching degree M of the supply and demand of public service facilities in the county also applies to the above evaluation table. For the evaluation results, if the measurement results of a certain basic spatial unit show a shortage or a serious shortage in supply, then consider supplementing the corresponding infrastructure in the subsequent planning and configuration; if the measurement results show an overabundance in supply, then consider whether it is necessary to reduce the inefficiently utilized facilities in this type of infrastructure in the existing layout.

[0098] A county public service facility configuration evaluation system, including:

[0099] A measurement module for the demand of public service facility configuration: According to the actual population spatial distribution data, output the population quantity, characteristics, and corresponding facility demands of the actual staying population in each basic spatial unit, and obtain the theoretical demand value for public service facility configuration;

[0100] A supply measurement module for public service facility configuration: According to the actual spatial distribution data of public service facilities, output the supply area of various public service facilities in each basic spatial unit, and obtain the actual supply value for public service facility configuration;

[0101] A supply-demand matching operation module: Match the theoretical demand value and the actual supply value of public service facility configuration in each basic spatial unit, output the supply-demand matching degree of public service facility configuration, and evaluate the supply-demand matching degree of public service facilities in the basic spatial unit and the overall supply-demand matching degree of public service facilities in the county.

[0102] In the evaluation and analysis of the supply-demand matching of county public service facilities, on the one hand, the entire county's spatial area can be regarded as a whole to evaluate the supply-demand matching degree of all types of facility elements; on the other hand, classification evaluation can be carried out for a single type of settlement unit or a single type of facility element to further depict the supply-demand matching situation; the supply-demand matching analysis by type and by area can ultimately provide a "whole-region, all-element, all-settlement" public service facility configuration method system for typical counties.

[0103] The present invention focuses on the problem of unbalanced and insufficient allocation of county facilities under the background of high-quality urbanization. By using the method of grid statistical analysis, with the guiding principle of the supply-demand matching of county public service facilities, taking spatial grids as the basic spatial units for dividing the county, and using the characteristics of residents' spatio-temporal behavior and the distribution characteristics of existing facilities as the medium to actually measure the supply-demand values, it fully considers the current situation of facilities and people's actual needs, can effectively measure the supply-demand matching degree of public service facilities within the county, and provides a scientific basis for the allocation and regulation of county public service facilities.

[0104] In the description of this specification, the description referring to terms such as "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0105] The above has shown and described the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and what is described in the above embodiments and the specification is only to illustrate the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed.

Claims

1. A method for evaluating the allocation of county-level public service facilities, characterized in that, it includes the following steps: S1. According to the actual population spatial distribution data, output the population quantity, characteristics and corresponding facility requirements of the actual staying population in each basic spatial unit, and obtain the theoretical demand value of the public service facility allocation; S2. According to the actual spatial distribution data of public service facilities, output the supply area of various public service facilities in each basic spatial unit, and obtain the actual supply value of the public service facility allocation; S3. Compare the theoretical demand value and the actual supply value of the public service facility allocation in each basic spatial unit, output the supply-demand matching degree of the public service facility allocation, and evaluate the supply-demand matching degree of the public service facilities in the basic spatial unit and the overall supply-demand matching degree of the county-level public service facilities; The steps for solving the theoretical demand value of the public service facility allocation are as follows: S11. According to the staying duration and staying location of the user's mobile phone signaling data at different time periods, identify the actual place of residence and workplace to support the public service facilities for two different needs of living and working; S12. Based on the basic scale measured by the mobile phone signaling data, create corresponding grid partitions in the ArcGIS platform to divide the county as the basic spatial unit for analysis, and crop according to the administrative division range; Establish a spatial connection to map each mobile phone signaling data attribute to the corresponding basic spatial unit, so that each basic spatial unit has the resident spatio-temporal behavior characteristic data; S13. Sort out and construct the allocation standard table of county-level grass-roots public service facilities, and classify the county-level grass-roots public service facilities; configure the corresponding public service facilities according to the different attributes of the workplace and the place of residence; sort out the allocation requirements of the grass-roots public service facilities to obtain two indicators of the per capita land area A and service radius R of various public service facilities; S14. Calculate the theoretical demand value, and the calculation formula is: D ij = A j * P ij Where: D ij is the theoretical demand value of the jth type of public service facilities in the basic spatial unit i, A j is the per capita area of the jth type of public service facilities, P ij is the number of people that the jth type of public service facilities in the basic spatial unit i should serve; The steps for solving the actual supply value of the public service facility allocation include: S21. According to the classification of the county-level grass-roots public service facilities in S13, obtain the facility name, spatial location, land form and land area of the corresponding facilities; S22. Calculate the actual supply value: The area covered by the public service facility G with R as the service radius is the service range, and the basic spatial units covered by the service range can be divided into: the basic spatial units completely covered by the service range and the basic spatial units not completely covered by the service range; Supply area S obtained from the fully covered basic spatial unit A The calculation formula is as follows: The supply area S obtained by the basic spatial unit with incomplete coverage B The calculation formula is as follows: Where: m is the number of basic spatial units completely covered, n is the number of basic spatial units not completely covered, S G is the land area of facility G, S i is the coverage area of the i-th of the n non-complete basic spatial units, and S is the area of each basic spatial unit; add up the supply areas of the same type of facilities within the basic spatial units; In the above S3, the steps for analyzing the supply-demand matching of county-level public service facilities include: S31. Calculate the supply-demand matching degree of the public service facilities in the basic spatial unit; In the formula, S ij is the actual supply value of the public service facilities of type j in the basic spatial unit i, D ij is the theoretical demand value of the public service facilities of type j in the basic spatial unit i, M ij is the supply-demand matching degree of the public service facilities of type j in the basic spatial unit i; S32. Calculate the overall supply-demand matching degree of the county-level public service facilities; where a is the number of basic spatial units, b is the type of public service facilities, and M ij is the supply-demand matching degree of the j-th type of public service facilities in the i-th basic spatial unit, and M is the supply-demand matching degree of the public service facilities in the whole county; S33. Evaluate the supply-demand matching degree of the public service facilities in the basic spatial unit and the overall supply-demand matching degree of the county-level public service facilities.

2. A method for evaluating the allocation of county-level public service facilities according to claim 1, characterized in that, in S11, the place of residence is identified as the place with the longest staying duration from 21:00 at night to 8:00 the next day; the workplace is identified as the place with the longest staying duration from 9:00 to 17:00 on weekdays.

3. A method for evaluating the configuration of county-level public service facilities according to claim 1, characterized in that, in S12, the resident spatio-temporal behavior characteristic data includes: residence or workplace attributes and population quantity.

4. A method for evaluating the configuration of county-level public service facilities according to claim 1, characterized in that, in S13, the county-level grass-roots public service facilities can be divided into 8 categories: administration, education, culture, commerce, medical care, sports, elderly care, and transportation.

5. A method for evaluating the configuration of county-level public service facilities according to claim 1, characterized in that, in S33, the evaluation criteria for the supply-demand matching degree are: when the supply-demand matching degree is less than 0.6, it indicates that the supply of public service facilities is severely insufficient; when it is between 0.6 and 0.85, it indicates insufficient supply; when it is between 0.85 and 1.15, it indicates that the supply and demand are basically matched; when it is between 1.15 and 1.4, it indicates surplus supply; when it is greater than 1.4, it indicates that the supply of public service facilities is excessive.

6. A system for evaluating the configuration of county-level public service facilities, characterized in that, it includes: a demand measurement module for the configuration of public service facilities, a supply measurement module for the configuration of public service facilities, and a supply-demand matching operation module; The demand measurement module for the configuration of public service facilities: According to the actual population spatial distribution data, output the population quantity, characteristics, and corresponding facility demands of the actual staying population in each basic spatial unit, and obtain the theoretical demand value for the configuration of public service facilities; The supply measurement module for the configuration of public service facilities: According to the actual spatial distribution data of public service facilities, output the supply area of various public service facilities in each basic spatial unit, and obtain the actual supply value for the configuration of public service facilities; The supply-demand matching operation module: Compare the theoretical demand value and the actual supply value of the configuration of public service facilities in each basic spatial unit, output the supply-demand matching degree of the configuration of public service facilities, and evaluate the supply-demand matching degree of public service facilities in the basic spatial unit and the overall supply-demand matching degree of county-level public service facilities; The steps for solving the theoretical demand value of the configuration of public service facilities are: S11, according to the staying duration and staying location of the user's mobile phone signaling data at different time periods, identify the actual residence and workplace to support the public service facilities with two different demands of living and working; S12, based on the basic scale measured by the mobile phone signaling data, create corresponding grid partitions in the ArcGIS platform to divide the county as the basic spatial unit for analysis, and clip it according to the administrative division range; Establish a spatial connection to map the attributes of each mobile phone signaling data to the corresponding basic spatial unit, so that each basic spatial unit has resident spatio-temporal behavior characteristic data; S13, sort out and construct a standard table for the configuration of county-level grass-roots public service facilities, and classify the county-level grass-roots public service facilities; configure the corresponding public service facilities according to the different attributes of the workplace and residence; sort out the configuration requirements of grass-roots public service facilities to obtain two indicators: the per capita land area A and the service radius R of various public service facilities; S14, calculate the theoretical demand value, and the calculation formula is: D ij = A j * P ij Where: D ij is the theoretical demand value of the public service facilities of type j in the basic spatial unit i, A j is the per capita area of the public service facilities of type j, P ij is the number of people that the public service facilities of type j in the basic spatial unit i should serve; The steps for solving the actual supply value of the configuration of public service facilities include: S21. According to the classification of the county-level grass-roots public service facilities in S13, obtain the facility names, spatial locations, land forms, and land areas of the corresponding facilities; S22. Calculate the actual supply value: For the public service facility G, the area covered with R as the service radius is the service scope. The basic spatial units covered by the service scope can be divided into: the basic spatial units completely covered by the service scope and the basic spatial units not completely covered by the service scope; Supply area S obtained by the completely covered basic space unit A The calculation formula is as follows: The supply area S obtained by the basic space unit with incomplete coverage B The calculation formula is as follows: Where: m is the number of basic spatial units completely covered, n is the number of basic spatial units not completely covered, S G is the land area of facility G, S i is the coverage area of the i-th of the n incomplete basic spatial units, and S is the area of each basic spatial unit; add up the supply areas of the same type of facilities within the basic spatial units; The steps for analyzing the supply-demand matching of county-level public service facilities include: S31. Calculate the supply-demand matching degree of public service facilities in the basic spatial unit; In the formula, S ij is the actual supply value of public service facilities of type j in basic spatial unit i, D ij is the theoretical demand value of public service facilities of type j in basic spatial unit i, M ij is the supply-demand matching degree of public service facilities of type j in basic spatial unit i; S32. Calculate the supply-demand matching degree of the overall public service facilities in the county; where a is the number of basic spatial units, b is the type of public service facilities, and M ij is the supply-demand matching degree of the j-th type of public service facilities in the i-th basic spatial unit, and M is the supply-demand matching degree of public service facilities in the whole county S33. Evaluate the supply-demand matching degree of public service facilities in the basic spatial unit and the supply-demand matching degree of the overall public service facilities in the county.

7. A computer storage medium, characterized in that, it stores a readable program, and when the program runs, it executes the method described in any one of claims 1-5.

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