LU600064B1

LU600064B1 - Rural education facility spatial configuration method and device based on spatiotemporal equilibrium model

Info

Publication number: LU600064B1
Application number: LU600064A
Authority: LU
Inventors: Ze Liu; Ziteng Liu
Original assignee: Univ Beijing Technology
Priority date: 2024-01-31
Filing date: 2025-01-16
Publication date: 2025-07-31
Also published as: CN117952794A

Abstract

The present application provides a rural education facility spatial configuration method and device based on a spatiotemporal equilibrium model, comprising: constructing a current spatial feature index database; predicting periodic changes of population data and construction land data in the planning area, and establishing a time series database of constraint factors; determining an attractiveness value range of each education facility, based on the data in the current spatial feature index database and based on time series data; constructing an education facility spatial configuration model, and performing spatial simulation of the education facilities based on the education facility spatial configuration model and the attractiveness value range, and determining an education facility layout scheme with the lowest layout cost value as an optimal scheme. Through the application of the method and device, the dynamic configuration of rural education facilities is realized by combining the unique spatiotemporal development feature data of the rural areas, and compared with the traditional configuration method based on static time section data centering on the scale and spatial distribution of a single population element, it has higher accuracy and applicability.

Description

RURAL EDUCATION FACILITY SPATIAL CONFIGURATION METHOB 60006 4

AND DEVICE BASED ON SPATIOTEMPORAL EQUILIBRIUM MODEL

TECHNICAL FIELD

[0001] The present application relates to the technical field of public service facility planning, and in particular to a rural education facility spatial configuration method and device based on a spatiotemporal equilibrium model.

BACKGROUND

[0002] The spatial configuration of education facilities in rural areas is of great importance for promoting education equity, promoting population mobility and economic development, improving education levels and cultivating talents, and promoting the implementation of the rural revitalization strategy, etc.

[0003] At present, there are two main types of methods for the spatial configuration of education facilities in rural areas:

[0004] (1) Spatial configuration methods based on the utility of facility supply and demands.

This type of method focuses on the demand characteristics of the facility user group, evaluates the utility of the facility configuration by combining qualitative and quantitative means, measures the influence of individual attributes (age, gender, education level, etc.), demand distribution and resident satisfaction, and then guides planning decisions.

[0005] (2) Spatial configuration methods based on facility accessibility measurement. This type of method uses methods such as the shortest time distance method, the two-step mobile search method and the network analysis method to achieve planning adjustments for the spatial configuration of education facilities by measuring the facility location, traffic accessibility,

service range level, etc. under the constraints of spatial distance. LU600064

[0006] The above two types of spatial configuration methods follow the layout planning methods of urban areas, focus on the constraints of spatial distance, and propose corresponding facility configuration schemes based on static time section data, centering on objective conditions such as the scale and spatial distribution of a single population element. However, they ignore the unique spatiotemporal development characteristics of multiple factors such as heterogeneous population distribution and intensive land use in rural areas. As a result, the applicable scenarios of the above two types of methods are mostly limited to the stage of relatively balanced and stable changes in the structure of urban and rural residents. There is a lack of effective guidance on the complex and dynamic spatiotemporal change characteristics of rural areas, especially the facility configuration response mechanism in the process of objective factors such as rural population, land resources and financial support, as well as the influence of subjective factors such as residents' travel mode and willingness to choose schools. Therefore, the above two types of methods are difficult to solve the problem of dynamic configuration of rural education facilities under the constraints of multiple factors.

SUMMARY

[0007] The present application provides a rural education facility spatial configuration method and device based on a spatiotemporal equilibrium model, which is used to solve the defect that the spatial configuration method of education facilities in rural areas in the prior art follows the layout planning method of urban areas and is difficult to solve the problem of dynamic configuration of rural education facilities under the constraints of multiple factors, and realizes the effective connection between the township spatial system and land use planning, so that the rural education facility spatial configuration has higher accuracy and applicability. LU600064

[0008] The present application provides a rural education facility spatial configuration method based on a spatiotemporal equilibrium model, comprising: collecting geographical feature data of rural settlements in a planning area and constructing a current spatial feature index database; selecting existing population data and construction land data from statistical yearbooks and rural planning data, and predicting future population data and construction land data based on periodic changes of the existing population data and construction land data; and establishing a time series database of constraint factors for rural education facility spatial configuration based on the existing population data and construction land data and the predicted population data and construction land data; determining an attractiveness value range of each education facility in the planning area, based on the data in the current spatial feature index database and based on time series data in the time series database of the constraint factors; constructing an education facility spatial configuration model based on roads, the rural settlements and the education facilities in the planning area; and performing spatial simulation of the education facilities based on the education facility spatial configuration model and the attractiveness value range of each education facility, calculating and comparing layout cost values of each education facility spatial configuration scheme, and determining an education facility layout scheme with the lowest layout cost value as an optimal scheme.

[0009] According to the rural education facility spatial configuration method based on the spatiotemporal equilibrium model provided by the present application, the constructing the 4 education facility spatial configuration model based on roads, rural settlements and education facilities in the planning area comprising: taking a central axis of the road in the planning area as line segments, taking the rural settlements and the education facilities in the planning area as nodes, and constructing the education facility spatial configuration model according to a connection relationship between the line segments and the nodes.

[0010] According to the rural education facility spatial configuration method based on the spatiotemporal equilibrium model provided by the present application, the population data includes population scales, spatial distributions, and age structures; and the construction land data includes education facility service radii of the education facilities , village levels, and construction land scales.

[0011] According to the rural education facility spatial configuration method based on the spatiotemporal equilibrium model provided by the present application, the performing spatial simulation of the education facilities based on the education facility spatial configuration model and the attractiveness value range of each education facility, calculating and comparing the layout cost values of each education facility spatial configuration scheme, and determining the education facility layout scheme with the lowest layout cost value as the optimal scheme comprising: step 1: screening out layout schemes covering education demands of all the rural settlements based on a service radius set range of each education facility; step 2: randomly selecting a layout scheme from the screened layout schemes, and simulating the education facility spatial configuration according to the initial time series data in the (6006 4 series database;

step 3: during the simulation of the education facility spatial configuration, determining a relationship between an education demand in a current simulation cycle and a sum of a

5 maximum carrying capacity of the education facilities in the selected layout scheme; if the education demand exceeds the sum of the maximum carrying capacity, jumping to step 4; and if the education demand does not exceed the sum of the maximum carrying capacity, jumping to step 5;

step 4: recording a total layout cost of the selected layout scheme as a preset maximum value, terminating the simulation of the selected layout scheme, and jumping to step 8;

step 5: determining a scale capacity and an attractiveness index of each education facility participating in the layout according to a preset facility construction capacity constraints and according to the attractiveness value range of each education facility in the planning area, and allocating the capacity of the education facility according to the scale capacity of the education facility, the attractiveness index and a path distance between the education facility and the rural settlement;

step 6: calculating a cost value of the current simulation cycle according to a capacity allocation result, comparing the cost value of the current simulation cycle with an optimal cost value of the current simulation cycle, and updating a smaller value as the optimal cost value of the current simulation cycle; an initial value of the cost value is a preset maximum value;

step 7: ending the current simulation cycle, accumulating the optimal cost value of the current simulation cycle to a total cost value, and taking a next simulation cycle as the current simulation cycle for a new stage of simulation; an initial value of the total cost value is 0; LU600064 if a current stage has not reached a preset maximum simulation year, reading the education demand for a corresponding year of the current simulation cycle, and updating the capacity allocation result of the education facilities in a corresponding year of a previous stage to the scale capacity of the education facilities in the current simulation cycle, and jumping to step 3; if the current stage has reached the preset maximum simulation year, comparing the total cost value of the current simulation cycle with the optimal total cost value, updating a smaller value to the optimal total cost value, and recording a layout scheme of corresponding education facilities and a capacity allocation scheme of the education facilities in the corresponding year of each simulation cycle; step 8: ending simulation of a currently selected layout scheme, accumulating the currently selected layout scheme to a preset taboo table, and increasing a count value of a preset number of iterations by one; and step 9: selecting a new layout scheme from the screened layout schemes by neighborhood random search, and jumping to step 2 to step 8; when the count value of the preset number of iterations reaches a preset maximum number of iterations, ending all simulations and outputting the education facility layout scheme corresponding to the optimal total cost value and outputting the capacity allocation scheme of the education facilities corresponding to the year of each simulation cycle.

[0012] According to the rural education facility spatial configuration method based on the spatiotemporal equilibrium model provided by the present application, using following constraints to screen out the layout schemes covering the education demands of all the rural settlements: LU600064 > x =

FEN, ;

M= 1j [DunsRj EN] wherein, N; is a set of facility points within the service radius of a rural settlement 7; Dy; is a shortest path distance between the rural settlement 7 and an education facility j; y; is a decision variable, y=1 when the education facility j is selected to participate in the layout, and y,=0 when the education facility j is not selected to participate in the layout; and R is a preset maximum service radius of the education facilities.

[0013] According to the rural education facility spatial configuration method based on the spatiotemporal equilibrium model provided by the present application, the allocating the capacity of the education facility according to the scale capacity of the education facility, the attractiveness index and the path distance between the education facility and the rural settlement comprising: step 5.1: setting initial constraints of the education facility j to j EP Ni; step 5.2: calculating a population scale w;; of the rural settlement / that chooses the education facility j by a following formula:

Wy = Ayo = (x ’ Dn’ >, fk 07°) ‘ut wherein, P is a set of facilities participating in the layout, 4; is a probability that residents in the rural settlement 7 choose the education facility j to obtain services; w; is the education demand in the rural settlement 7; A; is the attractiveness index of the education facility j under the current scheme; and / is a distance attenuation coefficient; step 5.3: when the calculated population scale w; does not exceed the scale capacity of the education facility j, including the rural settlement i and a calculation result of and {b8ooe 4 corresponding population scale wy in the service range of the education facility j, and recording the education demand of the rural settlement 7 as 0, and updating a remaining carrying capacity of education facility j to a difference between the scale capacity and the population scale w;; when the calculated population scale w; exceeds the scale capacity of the education facility ;, including the scale capacity of the education facility j, instead of the calculated result wy, in the service range of the education facility j for the rural settlement 7, and updating the education demand of rural settlement i to a difference between the education demand and the scale capacity of the education facility j, and then updating a remaining scale capacity of the education facility j to 0; and updating the constraints of the education facility j to j EP, and repeating the above steps 5.2 to 5.3 until the education demand of all the rural settlements is O.

[0014] According to the rural education facility spatial configuration method based on the spatiotemporal equilibrium model provided by the present application, a calculation formula of the cost value of the current simulation cycle is as follows:

CR, = a+ DIS + b'LAN + c'CON+ d-GR

DIS = Yiem Zjep ij" Dy

LAN = Yiep Ces Cp 4/VF

CON = EjepCn;' Ca;

GR = Xijep Co Ca wherein, CR, is the cost value of the current simulation cycle; y is the current simulation cycle;

M is a set of the rural settlements; DIS, LAN, CON and GR are spatial distance costs, land YS6006 4 costs, facility construction costs and attractiveness costs in the current simulation cycle respectively; a, b, c and d are influence coefficients of DIS, LAN, CON and GR respectively;

Cc, 1s a unit land scale for construction in education facility j; Ca; is a scale of construction in the education facility j; Cp; is a unit construction cost spent on construction in the education facility j; VF is a plot ratio index; Ca; is a unit attractiveness investment required for construction in the education facility /.

[0015] The present application also provides a rural education facility spatial configuration device based on a spatiotemporal equilibrium model, comprising:

A database construction module, which is configured to collect geographical feature data of rural settlements in a planning area and construct a current spatial feature index database, and is also configured to select existing population data and construction land data from statistical yearbooks and rural planning data, and predict future population data and construction land data based on periodic changes of the existing population data and based on construction land data, and establish a time series database of constraint factors for the rural education facility spatial configuration based on the existing population data and construction land data and the predicted population data and construction land data; an attractiveness calculation module, which is configured to determine, based on data in a current spatial feature index database and time series data in the time series database of the constraint factors, an attractiveness value range of each education facility in the planning area; a model construction module, which is configured to construct an education facility spatial configuration model based on roads, the rural settlements and the education facilities in the planning area; and LU600064 an optimal scheme determination module, which is configured to perform spatial simulation of the education facilities based on the education facility spatial configuration model and the attractiveness value range of each education facility, calculate and compare layout cost values of each education facility spatial configuration scheme, and determine an education facility layout scheme with the lowest layout cost value as an optimal scheme.

[0016] The present application also provides an electronic device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor when executing the computer program, implements the rural education facility spatial configuration method based on the spatiotemporal equilibrium model according to any one of the above.

[0017] The present application also provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program, when executed by a processor, implements the rural education facility spatial configuration method based on the spatiotemporal equilibrium model according to any one of the above.

[0018] The present application provides a rural education facility spatial configuration method and device based on a spatiotemporal equilibrium model, wherein the method comprises: collecting geographical feature data of rural settlements in a planning area and constructing a current spatial feature index database; predicting periodic changes of population data and construction land data in the planning area based on the existing statistical yearbooks and rural planning data, and establishing a time series database of constraint factors for rural education facility spatial configuration; determining an attractiveness value range of each education facility in the planning area, based on the data in the current spatial feature index database ado qs 4 based on time series data in the time series database of the constraint factors; constructing an education facility spatial configuration model, based on roads, the rural settlements and the education facilities in the planning area; and performing spatial simulation of the education facilities based on the education facility spatial configuration model and the attractiveness value range of each education facility, calculating and comparing layout cost values of each education facility spatial configuration scheme, and determining an education facility layout scheme with the lowest layout cost value as an optimal scheme. Through the application of the method and device, the dynamic configuration of the rural education facilities is realized by combining the unique spatiotemporal development feature data of the rural areas, and compared with the traditional configuration method based on static time section data centering on the scale and spatial distribution of a single population element, it has higher accuracy and applicability.

BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the present application or the prior art, a brief introduction to the drawings required for use in the embodiments or the prior art description is given below. Obviously, the drawings described below are some embodiments of the present application. A person skilled in the art will be able to obtain other drawings from these drawings without creative effort.

[0020] Fig. 1 is a schematic diagram of the main flow of the rural education facility spatial configuration method based on the spatiotemporal equilibrium model provided by the present application;

[0021] Fig. 2 is a schematic diagram of the detailed flow of the rural education facility spatial configuration method based on the spatiotemporal equilibrium model in an embodiment of $B800s 4 present application;

[0022] Fig. 3 is a schematic diagram of information in the current spatial feature index database as an example in an embodiment of the present application;

[0023] Fig. 4is a schematic diagram of information contained in the time series database as an example in an embodiment of the present application;

[0024] Fig. S is a schematic diagram of an education facility spatial configuration model as an example in an embodiment of the present application;

[0025] Fig. 6 is a schematic diagram of information of a rural settlement as an example in an embodiment of the present application;

[0026] Fig. 7 is a schematic diagram of information of an education facility as an example in an embodiment of the present application;

[0027] Fig. 8 is a schematic diagram of the capacity allocation scheme of education facilities in each year as an example in an embodiment of the present application;

[0028] Fig. 9 is a schematic diagram of a visualization presentation as an example in an embodiment of the present application;

[0029] Fig. 10 is a schematic diagram of the configuration of the rural education facility spatial configuration device based on the spatiotemporal equilibrium model provided by the present application;

[0030] Fig. 11 is a schematic diagram of the configuration of the electronic device provided by the present application.

[0031] Description of the reference numbers:

[0032] 101: database construction module; LU600064

[0033] 102: attractiveness calculation module;

[0034] 103: model construction module;

[0035] 104: optimal scheme determination module.

DETAILED DESCRIPTION

[0036] In order to make the objects, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be clearly and completely described below in conjunction with the accompanying drawings of the present application. Obviously, the embodiments described are a part of the embodiments of the present application, and not all of the embodiments. Based on the embodiments of the present application, all other embodiments obtained by a person skilled in the art without creative work are within the protection scope of the present application.

[0037] The following describes the rural education facility spatial configuration method based on the spatiotemporal equilibrium model of the present application in conjunction with Figs. 1 too.

[0038] As shown in Figs. 1 and 2, the rural education facility spatial configuration method based on the spatiotemporal equilibrium model provided by the present application includes the following steps:

[0039] SI, collecting geographical feature data of rural settlements in a planning area and constructing a current spatial feature index database.

[0040] Specifically, the geographical feature data of rural settlements includes, but is not limited to, the spatial location data of rural settlements, road network data, construction scale data of existing education facilities, etc. After collecting the geographical feature data of 006 4 settlements, the current spatial feature index database is constructed. For example, Fig. 3 shows the information contained in a current spatial feature index database as an example.

[0041] S2, selecting existing population data and construction land data from statistical yearbooks and rural planning data, predicting future population data and construction land data based on periodic changes of the existing population data and construction land data, and establishing a time series database of constraint factors for a rural education facility spatial configuration based on the existing population data and construction land data and the predicted population data and construction land data.

[0042] Specifically, according to a preset time series (which can be determined according to the planning cycle and the characteristics of facility operation, and the present application does not limit this, preferably 3 to 6 years) based on the existing statistical yearbooks and rural planning data, rural population data (including but not limited to scale, spatial distribution, age structure, etc.) and the construction land data (including but not limited to education facility service radii of the education facilities, village levels, construction land scales, etc.) in the planning area can be extracted in stages, and the periodic changes of population and construction land data in the planning area can be predicted. Based on the existing population data and construction land data of multiple years, and based on the predicted population data and construction land data of multiple years, the time series database of constraint factors for the rural education facility spatial configuration is established. The time series database stores population data and construction land data corresponding to the years. For example, Fig. 4 shows the information contained in a time series database with a 5-year cycle as an example,

including population data and construction land data corresponding to 2020, 2025...2039 andoog 4 2035.

[0043] S3, determining an attractiveness value range of each education facility in the planning area based on the data in the current spatial feature index database and time series data in the time series database of the constraint factors.

[0044] Specifically, in this step, the data in the current spatial feature index database and the time series data in the time series database of the constraint factors are combined to perform spatial overlay analysis on the planning area to determine the weight level of the influence of each education facility in the planning area on the school selection behavior of the residents, that is, the attractiveness value range.

[0045] S4, constructing an education facility spatial configuration model based on roads, the rural settlements and the education facilities in the planning area.

[0046] Specifically, a central axis of the road in the planning area is used as line segments in the model, and the rural settlements (all of which belong to a village demand point set M) and the education facilities (all of which belong to a facility point set N within the service radius of the rural settlements in the planning area, and the set N contains the existing education facilities and the rural settlements that meet the requirements of facility construction) are used as nodes in the model. The education facility spatial configuration model is constructed according to the connection relationship between the line segments and the nodes. For example, Fig. 5 shows an education facility spatial configuration model as an example.

[0047] Based on the constructed education facility spatial configuration model, the rural settlement is taken as a starting point of the model, and this node includes but is not limited to data such as population scales and age structures; the education facility is taken as a destinafian qe 4 point of the model, and this node includes spatial construction capacity data, such as reserve land scales, attractiveness levels, and other data (as shown in Figs. 6 and 7).

[0048] SS, performing spatial simulation of the education facilities based on the education facility spatial configuration model and the attractiveness value range of each education facility, calculating and comparing layout cost values of each education facility spatial configuration scheme, and determining an education facility layout scheme with the lowest layout cost value as an optimal scheme.

[0049] In this step, a spatial simulation of the education facilities is performed based on the education facility spatial configuration model and the attractiveness value range of each education facility, and the layout cost values of all possible schemes are calculated and compared, so as to determine the optimal scheme for the education facility configuration under a principle of the lowest layout cost. Specifically, step SS is further divided into the following sub-steps.

[0050] S5.1, screening out layout schemes covering the education demands of all the rural settlements based on a service radius set range of each education facility.

[0051] Specifically, according to statistical data of the service radius of the education facilities determined in step S2, the service radius set range formed by combining the service radius of multiple education facilities is determined, and the layout scheme that can achieve full coverage of education services for all rural settlements with education demands is screened out, that is, the layout scheme that can cover the education demands of all rural settlements within the service radius set range is screened out, and the constraints are as follows:

> val LU600064

[0052] 4 =

[0053] = {i [Dans RJ EN}

[0054] Wherein, N; is a set of facility points within the service radius of the rural settlement 7;

Dj) is the shortest path distance between the rural settlement 7 and the education facility j; y; is a decision variable, y=1 when the education facility j is selected to participate in the layout, and »y=0 when the education facility j is not selected to participate in the layout; and R is a preset maximum service radius of the education facilities.

[0055] The above constraints ensured that for all rural settlements 7, there is at least one education facility j participating in the layout to provide education services within its service radius.

[0056] S5.2, randomly selecting a layout scheme from the screened layout schemes, and simulating the education facility spatial configuration according to initial time series data in the time series database. It should be understood that the initial time series data is the time series data corresponding to the selected starting year, for example, the time series data of 2020 in Fig. 4is the initial time series data.

[0057] S5.3, during the simulation of the education facility spatial configuration, determining a relationship between an education demand in a current simulation cycle and a sum of a maximum carrying capacity of the education facilities in the selected layout scheme; if the education demand exceeds the sum of the maximum carrying capacity, jumping to step S54; if the education demand does not exceed the sum of the maximum carrying capacity, jumping to step S55. It should be understood that the education demand is the number of residents who need to be educated, and the maximum carrying capacity of the education facilities is the maximum value of the number of educated people that can be accepted by the educafieBo06 4 facilities, which is a fixed value.

[0058] S5.4, recording a total layout cost of the selected layout scheme as a preset maximum value, terminating the simulation of the selected layout scheme, and jumping to step S58.

[0059] Preferably, the preset maximum value can be set to 10°.

[0060] S5.5, determining a scale capacity and an attractiveness index of each education facility participating in the layout according to preset facility construction capacity constraints and according to the attractiveness value range of each education facility in the planning area, and allocating the capacity of the education facility according to the scale capacity of the education facility, the attractiveness index and a path distance between the education facility and the rural settlement.

[0061] It should be understood that the preset facility construction capacity constraints are range values, including minimum capacity constraint and maximum capacity constraint, wherein the maximum capacity constraint is the maximum carrying capacity of the education facilities.

[0062] In this step, according to the preset facility construction capacity constraints and the attractiveness value range of each education facility, a combination scheme of the scale capacity (Le, the population scale that the education facility is intended to carry in the current simulation cycle, and its value may change with the change of the simulation cycle) and the attractiveness index of each education facility participating in the layout are determined, and the division simulation of the service objects of the education facility is performed one by one. In the process of service object division simulation, the probability of a resident choosing a certain education facility is calculated according to the distance. Specifically, the following steps 60064 included:

[0063] S551, setting initial constraints of the education facility j to j EP NN;.

[0064] S552, calculating a population scale w; of the rural settlement 7 that chooses the education facility j by the following formula: wi = Ay wp = (x ‘ D, /> k D, ) Ty

[0065] ET 7

[0066] Wherein, P is a set of the facilities participating in the layout, 4; is a probability that residents in rural settlement 7 choose the education facility j to obtain services; œ; is the education demand in the rural settlement 7; k; is the attractiveness index of the education facility junder the current scheme; ß is a distance attenuation coefficient.

[0067] S553, when the calculated population scale w; does not exceed the scale capacity of the education facility j, including the calculation results of the rural settlement i and the corresponding population scale wy in the service range of the education facility j, and recording the education demand of the rural settlement 7 as 0, and updating the remaining carrying capacity of the education facility j to the difference between the scale capacity and the population scale w;; when the calculated population scale w;; exceeds the scale capacity of the education facility j, including the scale capacity of the education facility j, instead of the calculated result jj, in the service range of the education facility j for the rural settlement 7, and updating the education demand of the rural settlement 7 to the difference between the education demand and the scale capacity of the education facility j, and then updating a remaining scale capacity of the education facility j to 0.

[0068] Updating the constraints of the education facility j to j EP, and repeating the above steps 5.2 to 5.3 until the education demand of all rural settlements is 0. LU600064

[0069] S5.6, calculating cost value of the current simulation cycle according to a capacity allocation result, comparing the cost value of the current simulation cycle with an optimal cost value of the current simulation cycle, and updating a smaller value as the optimal cost value of the current simulation cycle; an initial value of the cost value is a preset maximum value.

[0070] Specifically, a calculation formula of the cost value CR, of the current simulation cycle is as follows:

[0071] CR, = a DIS + D'LAN+ c'CON+ dd GR

[0072] DIS = Diem jer wij * Di

[0073] LAN = Yep Ce; Cp /VF

[0074] CON = DjerCn; ‘Ca;

[0075] GR = XijepCaj Cp;

[0076] Wherein, CR, is the cost value of the current simulation cycle; y is the current simulation cycle; M is a set of rural settlements; DIS, LAN, CON and GR are spatial distance costs, land use costs, facility construction costs and attractiveness costs in the current simulation cycle respectively; a, b, ¢ and d are influence coefficients of DIS, LAN, CON and GR respectively; Cc; is a unit land scale for construction in the education facility j; Cp, is the scale of construction in education facility j; Cp, is a unit construction cost spent on construction in the education facility j; VF is a plot ratio index; Ca; is a unit attractiveness investment required for construction in the education facility J.

[0077] After calculating the cost value CR, of the current simulation cycle (for example,

simulating the situation in 2025), CR, is compared with the optimal cost value corresponding tga 4 the current simulation cycle (preferably, the initial value can be set to 10'%), and the smaller value of the two is updated as the optimal cost value of the corresponding year of the current simulation cycle, and the simulation calculations of steps S5.5 to S5.6 are repeated until all capacity allocation schemes are traversed, and the final optimal cost value and the corresponding capacity allocation scheme are recorded.

[0078] S5.7, ending the current simulation cycle, accumulating the optimal cost value of the current simulation cycle to a total cost value, and taking a next simulation cycle as the current simulation cycle for a new stage of simulation.

[0079] It should be understood that the initial value of the total cost value is 0. For example, after the simulation of 2025 is completed and the optimal cost value of 2025 is obtained, the optimal cost value of 2025 is added to the total cost value, and the next simulation cycle 2030 is used as the current simulation cycle for a new stage of simulation.

[0080] If the current stage has not reached a preset maximum simulation year (for example, the current simulation cycle is 2030, and the preset maximum simulation year 2035 has not been reached), the education demand for the corresponding year of the current simulation cycle is read, and the capacity allocation result of the education facilities in the corresponding year of the previous stage (for example, 2025) is updated to the scale capacity of the education facilities in the current simulation cycle, and jumping to step S53. If the current stage has reached the preset maximum simulation year, compare the total cost value of the current simulation cycle with the optimal total cost value are compared, the smaller value is updated to the optimal total cost value, and the layout scheme of the corresponding education facilities and the capacity allocation scheme of the education facilities in the corresponding year of each simulation 6006 4 are recorded.

[0081] S5.8, ending the simulation of the currently selected layout scheme, accumulating the currently selected layout scheme to a preset taboo table, and increasing the count value of the preset number of iterations by one. It should be understood that the layout scheme in the taboo table will not be selected again.

[0082] S5.9, selecting a new layout scheme from the screened layout schemes by neighborhood random search and jumping to step S52 to step S58. When the count value of the preset number of iterations reaches a preset maximum number of iterations (the initial value of the count value of the preset number of iterations is 1, and the preset maximum number of iterations can be set according to the actual situation), ending all simulations, and outputting the education facility layout scheme corresponding to the optimal total cost value and the capacity allocation scheme of the education facilities corresponding to the year of each simulation cycle (as shown in Fig. 8).

[0083] In an optional embodiment of the present application, after obtaining the capacity allocation scheme of the education facilities corresponding to the year of each simulation cycle, the spatial configuration of the education facilities in the planning area can also be visualized based on thereon, as shown in Fig. 9.

[0084] In summary, the rural education facility spatial configuration method based on the spatiotemporal equilibrium model provided by the present application realizes the dynamic configuration of the rural education facilities in combination with the unique spatiotemporal development characteristics of rural areas. Compared with the existing spatial configuration method dominated by facility convenience or supply and demand balance, the method provided soe 4 by the present application not only focuses on the fairness and convenience of residents' access to the facilities, but also can effectively connect the township spatial system and land use planning, and at the same time combine the objective data of facility construction (such as population density, land use scale, and level, capacity, accessibility of original facilities etc.) with the subjective willingness of the residents to use (facility attractiveness index), which has higher accuracy and applicability. Through the method provided by the present application, the whole planning cycle can be dynamically simulated, and the dynamic feedback of the education facility spatial configuration on the spatiotemporal change characteristics of rural population, land, financial support and other factors can be effectively portrayed, so that the spatial configuration scheme takes into account both service benefits and resource conservation. It can be effectively applied to rural areas in our country that are in a rapid urbanization stage, where land resources or government financial investment are relatively tight and fluctuate in the long run, and the rural education facility spatial configuration after the spatiotemporal changes of multiple factors such as population, land resources and financial support can be dynamically simulated.

[0085] Based on the same inventive concept, the present application also provides a rural education facility spatial configuration device based on a spatiotemporal equilibrium model.

The rural education facility spatial configuration device based on a spatiotemporal equilibrium model provided by the present application is described below. The rural education facility spatial configuration device based on a spatiotemporal equilibrium model described below and the rural education facility spatial configuration method based on a spatiotemporal equilibrium model described above can be referred to each other. LU600064

[0086] As shown in Fig. 10, the rural education facility spatial configuration device based on the spatiotemporal equilibrium model provided by the present application includes:

[0087] Database construction module 101, which is configured to collect geographical feature data of rural settlements in a planning area and construct a current spatial feature index database, and is also configured to select existing population data and construction land data from statistical yearbooks and rural planning data, predict future population data and construction land data based on periodic changes of the existing population data and construction land data, and establish a time series database of constraint factors for the rural education facility spatial configuration based on the existing population data and construction land data and the predicted population data and construction land data;

[0088] Attractiveness calculation module 102, which is configured to determine, based on the data in the current spatial feature index database and based on time series data in the time series database of the constraint factors, an attractiveness value range of each education facility in the planning area;

[0089] Model construction module 103, which is configured to construct an education facility spatial configuration model based on roads, rural settlements and education facilities in the planning area;

[0090] Optimal scheme determination module 104, which is configured to perform spatial simulation of the education facilities based on the education facility spatial configuration model and the attractiveness value range of each education facility, calculate and compare the layout cost values of each education facility spatial configuration scheme, and determine an education facility layout scheme with the lowest layout cost value as an optimal scheme. LU600064

[0091] Figure 11 illustrates a schematic diagram of a physical configuration of an electronic device. As shown in Figure 11, the electronic device may include: a processor 1110, a communication interface 1120, a memory 1130 and a communication bus 1140, wherein the processor 1110, the communication interface 1120 and the memory 1130 communicate with each other through the communication bus 1140. The processor 1110 can call the logic instructions in the memory 1130 to execute a rural education facility spatial configuration method based on the spatiotemporal equilibrium model provided by the above methods, the method includes:

[0092] Collecting geographical feature data of rural settlements in a planning area and constructing a current spatial feature index database.

[0093] Selecting existing population data and construction land data from statistical yearbooks and rural planning data, and predicting future population data and construction land data based on periodic changes of the existing population data and construction land data; and establishing a time series database of constraint factors for a rural education facility spatial configuration based on the existing population data and construction land data and the predicted population data and construction land data.

[0094] Determining an attractiveness value range of each education facility in the planning area based on the data in the current spatial feature index database and time series data in the time series database of the constraint factors.

[0095] Constructing an education facility spatial configuration model based on roads, the rural settlements and the education facilities in the planning area.

[0096] Performing spatial simulation of the education facilities based on the education fagilithooe 4 spatial configuration model and the attractiveness value range of each education facility, calculating and comparing layout cost values of each education facility spatial configuration scheme, and determining an education facility layout scheme with the lowest layout cost value as an optimal scheme.

[0097] In addition, the logic instructions in the above-mentioned memory 1130 can be implemented in the form of a software function unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: a U-disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or optical disk and other media that can store program code.

[0098] On the other hand, the present application also provides a computer program product, the computer program product includes a computer program, and the computer program can be stored in a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the rural education facility spatial configuration method based on the spatiotemporal equilibrium model provided by the above methods, the method includes:

[0099] Collecting geographical feature data of rural settlements in a planning area, 26006 4 constructing a current spatial feature index database.

[00100] Selecting existing population data and construction land data from statistical yearbooks and rural planning data, and predicting future population data and construction land data based on periodic changes of existing population data and construction land data; establishing a time series database of constraint factors of rural education facility spatial configuration based on the existing population data and construction land data and the predicted population data and construction land data.

[00101] Determining an attractiveness value range of each education facility in the planning area, based on the data in the current spatial feature index database and time series data in the time series database of the constraint factors.

[00102] Constructing an education facility spatial configuration model, based on the roads, the rural settlements and the education facilities in the planning area.

[00103] Performing spatial simulation of the education facilities based on the education facility spatial configuration model and the attractiveness value range of each education facility, calculating and comparing the layout cost values of each education facility spatial configuration scheme, and determining an education facility layout scheme with the lowest layout cost value as an optimal scheme.

[00104] On the other hand, the present application also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it is implemented to execute the rural education facility spatial configuration method based on the spatiotemporal equilibrium model provided by the above methods, the method comprising: LU600064

[00105] Collecting geographical feature data of rural settlements in a planning area and constructing a current spatial feature index database.

[00106] Selecting existing population data and construction land data from statistical yearbooks and rural planning data, and predicting future population data and construction land data based on periodic changes of the existing population data and t construction land data; and establishing a time series database of constraint factors for a rural education facility spatial configuration based on the existing population data and construction land data and the predicted population data and construction land data.

[00107] Determining an attractiveness value range of each education facility in the planning area based on the data in the current spatial feature index database and time series data in the time series database of the constraint factors.

[00108] Constructing an education facility spatial configuration model based on roads, the rural settlements and the education facilities in the planning area.

[00109] Performing spatial simulation of the education facility based on the education facility spatial configuration model and the attractiveness value range of each education facility, calculating and comparing the layout cost values of each education facility spatial configuration scheme, and determining an education facility layout scheme with the lowest layout cost value as an optimal scheme.

[00110] The device embodiments described above are only schematic, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed across multiple network units. Some or all of the modules may B6006 4 selected according to actual demands to achieve the purpose of the scheme of this embodiment.

A person ordinarily skilled in the art can understand and implement it without creative work.

[00111] Through the description of the above implementations, a person skilled in the art can clearly understand that each implementation can be implemented by means of software plus the necessary general hardware platform, and of course, it can also be implemented by hardware.

Based on this understanding, the above technical solutions, can be essentially, or the part that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, a disk, an optical disk, etc, and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiment.

[00112] Finally, it should be noted that the above embodiments are used only to illustrate and not to limit the technical solutions of the present application. Although the present application has been described in detail with reference to the above embodiments, a person ordinarily skilled in the art should understand that they can still modify the technical solutions recorded in the above embodiments, or replace some of the technical features therein by equivalents. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

Claims LU600064

1. À rural education facility spatial configuration method based on a spatiotemporal equilibrium model, characterized in that, comprising: collecting geographical feature data of rural settlements in a planning area and constructing a current spatial feature index database; selecting existing population data and construction land data from statistical yearbooks and rural planning data, and predicting future population data and construction land data based on periodic changes of the existing population data and construction land data; and establishing a time series database of constraint factors for rural education facility spatial configuration based on the existing population data and construction land data and the predicted population data and construction land data; determining an attractiveness value range of each education facility in the planning area, based on data in the current spatial feature index database and based on time series data in the time series database of the constraint factors; constructing an education facility spatial configuration model based on roads, the rural settlements and education facilities in the planning area; and performing spatial simulation of the education facilities based on the education facility spatial configuration model and the attractiveness value range of the each education facility, calculating and comparing a layout cost value of each education facility spatial configuration scheme, and determining an education facility layout scheme with the lowest layout cost value as an optimal scheme.

2. The rural education facility spatial configuration method based on the spatiotemporal equilibrium model according to claim 1, characterized in that, the constructing the educafieBo06 4 facility spatial configuration model based on the roads, the rural settlements and the education facilities in the planning area comprising: taking central axis of the roads in the planning area as line segments, taking the rural settlements and the education facilities in the planning area as nodes, and constructing the education facility spatial configuration model according to a connection relationship between the line segments and the nodes.

3. The rural education facility spatial configuration method based on the spatiotemporal equilibrium model according to claim 1, characterized in that, the population data includes population scales, spatial distributions, and age structures, and the construction land data includes service radii of the education facilities, village levels, and construction land scales.

4. The rural education facility spatial configuration method based on the spatiotemporal equilibrium model according to claim 3, characterized in that, the performing spatial simulation of the education facilities based on the education facility spatial configuration model and the attractiveness value range of the each education facility, calculating and comparing the layout cost value of each education facility spatial configuration scheme, and determining the education facility layout scheme with the lowest layout cost value as the optimal scheme comprises: step 1: screening out layout schemes covering education demands of all the rural settlements based on a service radius set range of each education facility; step 2: randomly selecting a layout scheme from the screened layout schemes, and simulating the education facility spatial configuration according to initial time series data in the time series database; LU600064 step 3: during the simulation of the education facility spatial configuration, determining a relationship between an education demand in a current simulation cycle and a sum of a maximum carrying capacity of the education facilities in the selected layout scheme; if the education demand exceeds the sum of the maximum carrying capacity, jumping to step 4; and if the education demand does not exceed the sum of the maximum carrying capacity, jumping to step 5; step 4: recording a total layout cost of the selected layout scheme as a preset maximum value, terminating the simulation of the selected layout scheme, and jumping to step 8;

step 5: determining a scale capacity and an attractiveness index of each education facility participating in the layout according to a preset facility construction capacity constraints and according to the attractiveness value range of the each education facility in the planning area, and allocating the capacity of the education facility according to the scale capacity of the education facility, the attractiveness index and a path distance between the education facility and the rural settlement; step 6: calculating a cost value of the current simulation cycle according to a capacity allocation result, comparing the cost value of the current simulation cycle with an optimal cost value of the current simulation cycle, and updating a smaller value to the optimal cost value of the current simulation cycle; an initial value of the cost value is a preset maximum value;

step 7: ending the current simulation cycle, accumulating the optimal cost value of the current simulation cycle to a total cost value, and taking a next simulation cycle as the current simulation cycle for a new stage of simulation; an initial value of the total cost value is 0;

if a current stage has not reached a preset maximum simulation year, reading the educptian oe 4 demand for a corresponding year of the current simulation cycle, and updating the capacity allocation result of the education facilities in a corresponding year of a previous stage to the scale capacity of the education facilities in the current simulation cycle, and jumping to step 3; if the current stage has reached the preset maximum simulation year, comparing the total cost value of the current simulation cycle with the optimal total cost value, updating a smaller value to the optimal total cost value, and recording a layout scheme of corresponding education facilities and a capacity allocation scheme of the education facilities in the corresponding year of each simulation cycle; step 8: ending simulation of a currently selected layout scheme, accumulating the currently selected layout scheme to a preset taboo table, and increasing a count value of a preset number of iterations by one; and step 9: selecting a new layout scheme from the screened layout schemes by neighborhood random search, and jumping to step 2 to step 8; when the count value of the preset number of iterations reaches a preset maximum number of iterations, ending all simulations, outputting the education facility layout scheme corresponding to the optimal total cost value and outputting the capacity allocation scheme of the education facilities corresponding year of each simulation cycle.

5. The rural education facility spatial configuration method based on the spatiotemporal equilibrium model according to claim 4, characterized in that, following constraints are used to screen out the layout schemes covering the education demands of all the rural settlements: > m=l Few

M= 0 {Duy =Rj EN} LU600064 wherein, N; is a set of facility points within a service radius of a rural settlement 7; Dy; is a shortest path distance between the rural settlement 7 and an education facility j; y; is a decision variable, y=1 when the education facility j is selected to participate in the layout, and y,=0 when the education facility j is not selected to participate in the layout; and R is a preset maximum service radius of the education facility.

6. The rural education facility spatial configuration method based on the spatiotemporal equilibrium model according to claim 5, characterized in that, the allocating the capacity of the education facility according to the scale capacity of the education facility, the attractiveness index and the path distance between the education facility and the rural settlement comprising: step 5.1: setting initial constraints of the education facility j to j EP Ni; step 5.2: calculating a population scale w;; of the rural settlement 7 that chooses the education facility j by a following formula: ay = Agen = (x D a /> k D," ) a; \ ; To wherein, P is a set of facilities participating in the layout, 4; is a probability that residents in the rural settlement 7 choose the education facility j to obtain services; w; is the education demand in the rural settlement 7; k; is the attractiveness index of the education facility j under the current scheme; and / is a distance attenuation coefficient; step 5.3: when the calculated population scale w; does not exceed the scale capacity of the education facility j, including the rural settlement 7 and a calculation result of the corresponding population scale wy in the service range of the education facility j, and recording the education demand of the rural settlement 7 as 0, and updating a remaining carrying capacity of the education facility j to a difference between the scale capacity and the population scale wy; VB&Boos 4 the calculated population scale w; exceeds the scale capacity of the education facility j, including the scale capacity of the education facility j, instead of the calculated result wy, in the service range of the education facility j for the rural settlement 7, and updating the education demand of the rural settlement 7 to a difference between the education demand and the scale capacity of the education facility j, and then updating a remaining scale capacity of the education facility j to 0; and updating the constraints of the education facility j to j EP, and repeating the above steps 5.2 to

5.3 until the education demand of all the rural settlements is O.

7. The rural education facility spatial configuration method based on the spatiotemporal equilibrium model according to claim 6, characterized in that, a calculation formula of the cost value of the current simulation cycle is as follows: ER, = a DIS + bb‘ LAN + c'CON+ d-GR DIS = YiemZjep wy + Dis LAN = Y jep Co; * Cp ;/VF CON = D jer Cp; Cp; GR = EjepCa3' Cp; wherein, CR, is the cost value of the current simulation cycle; y is the current simulation cycle; M is a set of the rural settlements; DIS, LAN, CON and GR are spatial distance costs, land use costs, facility construction costs and attractiveness costs in the current simulation cycle respectively; a, b, c and d are influence coefficients of DIS, LAN, CON and GR respectively;

Cc, 1s a unit land scale for construction in the education facility j; Cp; is a scale of construgian ye 4 in the education facility j; Cp; is a unit construction cost spent on construction in the education facility j; VF is a plot ratio index; Ca; is a unit attractiveness investment required for construction in the education facility /.

8. A rural education facility spatial configuration device based on a spatiotemporal equilibrium model, characterized in that, the device comprising: a database construction module, which is configured to collect geographical feature data of rural settlements in a planning area and construct a current spatial feature index database, and is also configured to select existing population data and construction land data from statistical yearbooks and rural planning data, predict future population data and construction land data based on periodic changes of the existing population data and construction land data, and establish a time series database of constraint factors for the rural education facility spatial configuration based on the existing population data and construction land data and the predicted population data and construction land data; an attractiveness calculation module, which is configured to determine, based on data in the current spatial feature index database and based on time series data in the time series database of the constraint factors, an attractiveness value range of each education facility in the planning area; a model construction module, which is configured to construct an education facility spatial configuration model based on roads, the rural settlements and education facilities in the planning area; and an optimal scheme determination module, which is configured to perform spatial simulation of the education facilities based on the education facility spatial configuration model and $B8006 4 attractiveness value range of the each education facility, calculate and compare a layout cost value of each education facility spatial configuration scheme, and determine an education facility layout scheme with the lowest layout cost value as an optimal scheme.

9. An electronic device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that, the processor, when executing the program, implements the rural education facility spatial configuration method based on the spatiotemporal equilibrium model according to any one of the claims 1 to 7.

10. A non-transitory computer-readable storage medium, on which a computer program is stored, characterized in that, the computer program, when executed by a processor, implements the rural education facility spatial configuration method based on the spatiotemporal equilibrium model according to any one of the claims 1 to 7.