CN116485011B - Rural public facility optimization method and device based on multi-scenario population prediction - Google Patents
Rural public facility optimization method and device based on multi-scenario population prediction Download PDFInfo
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Abstract
The embodiment of the specification provides a rural public facility optimization method and device based on multi-scenario population prediction, wherein the method comprises the following steps: establishing a thematic population database based on the acquired census data; setting a plurality of different scenes of the floating population in a certain future time period according to the current population condition based on the thematic population database; evaluating the supply and demand relationship and the travel cost of the public service facilities under the multi-scenario simulation, analyzing the layout rationality of the public service facilities under the multi-scenario simulation, and obtaining an evaluation result; based on the evaluation results, a public service facility layout is optimized using a maximized coverage model.
Description
Technical Field
The document relates to the technical field of public service facility planning, in particular to a rural public facility optimization method and device based on multi-scenario population prediction.
Background
The public service facility in village is the material guarantee of daily production and living of village residents, and refers to public service building facilities which are built independently or jointly, and comprises seven types of administrative management, education institutions, literature science and technology, medical care, commercial finance, social welfare and the market for trade. In the past 40 years, under the influence of urban and rural binary structures, rural economic and social development is lagged behind the city, so that a significant gap exists between public service facilities and urban areas. Secondly, the rural population is flexible and complex, and the dynamic change of the demands is difficult to adapt to by a static and homogeneous public service facility configuration method, so that the problem of structural unbalance of supply and demands of public service facilities in rural areas exists for a long time, and great inconvenience is brought to daily production and life of rural residents. In order to solve the problem of structural unbalance of the rural public service facilities, improve the living quality of rural residents, clearly require strengthening the construction of the rural public service facilities, improve the supply capacity of the rural public service facilities and improve the living quality of the rural residents. In this context, it is desirable to configure rural utility based on future forecasts of floating population, optimizing utility space layout.
At present, two technical routes are mainly formed on the planning layout of the rural public service facilities, firstly, the public service facilities are laid out by means of land space indexes, and the method breaks away from population demands, so that public service resource waste and supply and demand dislocation are caused. Secondly, the public service facilities are configured by using homogeneous population indexes, and the population demands can be identified to a certain extent, but the method ignores factors such as population age structure, actual distribution and the like, so that the public service facilities are not configured to be consistent with the actual population demands. Secondly, the two methods are mainly based on static population distribution in the process of configuring public service facilities, neglecting uncertainty of population flow, and causing the public service facilities to be difficult to adapt to rapid population changes. Thus, rural utility configurations require comprehensive consideration of real demographics, age structure, and future population changes. Therefore, a public service facility layout optimization method capable of effectively coping with future population changes is one of the key elements of village vibration, and in summary, in order to overcome the defects and shortcomings of village public service facility planning based on static and homogeneous population as main basis, a new public service facility layout optimization method based on floating population multi-scenario simulation is needed.
Disclosure of Invention
The invention aims to provide a rural public facility optimization method and device based on multi-scenario population prediction, and aims to solve the problems in the prior art.
The invention provides a rural public facility optimization method based on multi-scenario population prediction, which comprises the following steps:
establishing a thematic population database based on the acquired census data;
setting a plurality of different scenes of the floating population in a certain future time period according to the current population condition based on the thematic population database;
evaluating the supply and demand relationship and the travel cost of the public service facilities under the multi-scenario simulation, analyzing the layout rationality of the public service facilities under the multi-scenario simulation, and obtaining an evaluation result;
based on the evaluation results, a public service facility layout is optimized using a maximized coverage model.
The invention provides a rural public facility optimizing device based on multi-scenario population prediction, which comprises:
the establishing module is used for establishing a thematic population database based on the acquired census data;
the setting module is used for setting a plurality of different scenes for the floating population in a certain future time period according to the current population condition based on the thematic population database;
the evaluation module is used for evaluating the supply and demand relation and the travel cost of the public service facilities under the multi-scenario simulation, analyzing the layout rationality of the public service facilities under the multi-scenario simulation and obtaining an evaluation result;
and the optimizing module is used for optimizing the public service facility layout by using the maximized coverage model based on the evaluation result.
By adopting the embodiment of the invention, the public service facility space layout under the multi-scenario simulation can be evaluated, analyzed and optimized by setting a plurality of scenes and predicting the floating population space distribution under different scenes by using the census data, the floating complexity of the population in the village can be dealt with, the problem of unbalanced supply and demand structure of the public service facility in the village can be effectively relieved, and the technical scheme of the embodiment of the invention has the advantage of being capable of being duplicated in other areas in China.
Drawings
For a clearer description of one or more embodiments of the present description or of the solutions of the prior art, the drawings that are necessary for the description of the embodiments or of the prior art will be briefly described, it being apparent that the drawings in the description that follow are only some of the embodiments described in the description, from which, for a person skilled in the art, other drawings can be obtained without inventive faculty.
FIG. 1 is a flow chart of a rural utility optimization method based on multi-scenario population prediction according to an embodiment of the present invention;
FIG. 2 is a flow chart of a preferred example of a rural utility optimization method based on multi-scenario population prediction according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a rural utility optimization apparatus based on multi-scenario population prediction according to an embodiment of the present invention.
Detailed Description
In order to enable a person skilled in the art to better understand the technical solutions in one or more embodiments of the present specification, the technical solutions in one or more embodiments of the present specification will be clearly and completely described below with reference to the drawings in one or more embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one or more embodiments of the present disclosure without inventive faculty, are intended to be within the scope of the present disclosure.
Method embodiment
According to an embodiment of the present invention, there is provided a rural public facility optimization method based on multi-scenario population prediction, and fig. 1 is a flowchart of the rural public facility optimization method based on multi-scenario population prediction according to the embodiment of the present invention, as shown in fig. 1, the rural public facility optimization method based on multi-scenario population prediction according to the embodiment of the present invention specifically includes:
step 101, establishing a thematic population database based on the acquired census data; specifically: and establishing a thematic population database taking the resident population, the population age structure and the outflow and inflow population as themes according to the general population, the resident population, the household population and the population of each administrative village and the resident population and the outflow and inflow population of each administrative village which are separated from the administrative village for more than a certain time in the census data, wherein A is a positive integer.
102, setting a plurality of different scenes for the floating population in a certain future time period according to the current population condition based on the thematic population database; the method specifically comprises the following steps:
based on the thematic population database, 6 different scenes are set for the floating population in a certain time period in the future according to the current population condition to be simulated, wherein the 6 different scenes specifically comprise:
first scenario: the floating population is affected by industry base and public service capability, tending to flow into villages where industry base or public service infrastructure base is better, the increase in the floating population from other villages in county is less than or equal to a first percentage over a predetermined period of time;
second scenario: the population is not influenced by the industrial foundation and the public service facility capacity, and the population is continuously resided in villages where the home registration is located and is not resided in other villages;
third scenario: the county-outside population mainly flows to villages and towns with better industry foundations or stronger public service facilities, and the administrative county-outside inflow population with better industry foundations or stronger public service facilities increases by more than or equal to a second percentage in a preset time period;
fourth scenario: the population is not influenced by factors of industry or public service facilities, and mainly flows back to villages and towns where the household is located, and the inflow population outside each village and county is increased by more than or equal to a second percentage in a preset time period;
fifth scenario: the population of the county continues to flow, and each village outflow population increases by greater than or equal to a second percentage over a predetermined period of time;
sixth scenario six: there is a difference in outflow population between the administrative villages, wherein the outflow population of the administrative villages whose industry base is better or adjacent to the county-town center increases by less than or equal to a first percentage over a predetermined period of time, and the outflow population of the administrative villages farther from the industrial park or county-town center increases by more than or equal to a second percentage over the predetermined period of time.
Step 103, evaluating the supply and demand relation and the travel cost of the public service facilities under the multi-scenario simulation, analyzing the layout rationality of the public service facilities under the multi-scenario simulation, and obtaining an evaluation result; the method specifically comprises the following steps:
according to the multi-scenario simulation result, based on the formula 1 and the formula 2, the supply and demand relationship of the public service facilities of the administrative village is evaluated by combining thousands of indexes under consideration of population numbers of different age structures:
equation 1;
equation 2;
wherein Pm is thousands of owning quantity of practical m-class facilities, P is practical population quantity of different age groups of the administrative village, qm is practical facility quantity in the administrative village, tm is thousand-person facility quantity which should be configured in the administrative village in the relevant planning standard, sm represents matching relation between the practical quantity of m-class facilities and standard quantity, low-allocation is that public service facility configuration of the administrative village lags behind population quantity of the administrative village, high-allocation is that public service facility quantity of the administrative village is matched with population quantity, and high-allocation is that public service facility quantity of the administrative village is advanced than population quantity, and if Pm is 0, the public service facility quantity of the administrative village is missed;
and (3) establishing an OD cost matrix between the residential points and the public service facility points, measuring the shortest travel time from the residential points to different public service facilities, and obtaining a reachability evaluation result.
Step 104, optimizing public service facility layout by using the maximized coverage model based on the evaluation result. The method specifically comprises the following steps:
optimizing public service facility layout by using a maximized coverage model according to the supply-demand relationship and the accessibility evaluation result of the public service facilities in the administrative village, wherein the maximized coverage model is shown in a formula 3, and the constraint condition is shown in a formula 4 to a formula 8:
equation 3;
equation 4;
equation 5;
equation 6;
equation 7;
equation 8;
wherein N represents a set of demand points N; d, d i Representing the i-th demand point demand; c (C) j Representing the capacity of the facility node j; a (j) represents a set of demand points covered by the facility node j; b (i) represents a set of facilities that can cover the demand point i; p is the number of facilities allowed to be built; y is ij Representing the portion of demand points i demand that is assigned to the service of facility node j, y ij ≤1；x j Indicating whether the facility node j is selected for implementation, and if so, 1, otherwise, 0.
According to the technical scheme, the multi-scenario simulation can effectively cope with future uncertainty, and the prediction of future population development by using the multi-scenario simulation is beneficial to the configuration and space layout optimization of rural public service facilities and is important to the improvement of the living quality of rural residents.
The above technical solutions of the embodiments of the present invention are illustrated below.
As shown in fig. 2, the method specifically comprises the following steps:
(1) And (5) processing census data. And according to the general population, resident population, household population, resident population, outflow population and inflow population of each administrative village, which are more than five years away from the administrative village, in the census data.
(2) The simulation was performed on 6 different scenarios of the population setting for the next decade based on the population growth rate in the past decade.
The first is that the population of the county is generally equal to the population of the outflow, and the population mainly flows among villages and towns inside the county. The two situations are: 1. the floating population is influenced by industry foundation and public service capability, tends to flow into villages and towns with better industry foundation or public service facility foundation, and the flowing population from other villages and towns in county increases by 5% from 2020 to 2030; 2. the population is not affected by the industrial foundation and the public service facility capacity, and the population continues to live in villages where the home registration is located and does not live in other villages.
Secondly, the reflux population continues to increase, and the overall inflow population of county is greater than the outflow population. The two situations are: 1. the county and county population mainly flows to villages and towns with better industrial foundation or stronger public service facility capability, and the administrative county and county inflow population with better industrial foundation and stronger public service facility capability increases by 30% from 2020 to 2030; 2. the population is not influenced by factors of industry and public service facilities, and flows back to villages and towns where the household is located, and the inflow population outside each village and county increases by 30% from 2020 to 2030.
Thirdly, the outflow population is continuously increased, and the whole county outflow population is larger than the inflow population. 1. The population in county continuously flows out, and the population in villages increases by 30% from 2020 to 2030; 2. there are differences in outflow population among administrative villages. The method has the advantages that the industrial foundation is good, the outflow population of the administrative village adjacent to the county and town center is small, the increase of the outflow population of the administrative village is 5% from 2020 to 2030, the outflow population of the administrative village far away from the industrial park and the county and town center is large, and the outflow population of the administrative village far away from the industrial park and the county and town center is increased by 30% from 2020 to 2030.
(3) And evaluating the supply and demand relationship of public service facilities under the multi-scenario simulation of the floating population. And according to the multi-scenario simulation result, evaluating the supply and demand relationship of the public service facilities of the administrative village by combining thousands of indexes in consideration of population numbers of different age structures.
Equation 1;
equation 2;
wherein Pm is thousands of owning quantity of practical m-class facilities, P is practical population quantity of different age groups of the administrative village, qm is practical facility quantity in the administrative village, tm is thousand-person facility quantity which should be configured in the administrative village in the relevant planning standard, sm represents matching relation between the practical quantity of m-class facilities and standard quantity, low-allocation is that public service facility configuration of the administrative village lags behind population quantity of the administrative village, high-allocation is that public service facility quantity of the administrative village is matched with population quantity, and high-allocation is that public service facility quantity of the administrative village is advanced than population quantity, and if Pm is 0, the public service facility quantity of the administrative village is missed;
(4) And (3) establishing the shortest travel time from the residential point to different public service facilities by using ArcGIS type 10.2 network analysis to measure the OD cost matrix between the residential point and the public service facilities.
(5) According to the supply-demand relation and the accessibility evaluation result, the public service facility layout is optimized by using the ArcGIS type 10.2 maximization coverage model, and the mathematical model is as follows:
equation 3;
equation 4;
equation 5;
equation 6;
equation 7;
equation 8;
wherein N represents a set of demand points N; d, d i Representing the i-th demand point demand; c (C) j Representing the capacity of the facility node j; a (j) represents a set of demand points covered by the facility node j; b (i) represents a set of facilities that can cover the demand point i; p is the number of facilities allowed to be built; y is ij Representing the portion of demand points i demand that is assigned to the service of facility node j, y ij ≤1；x j Indicating whether the facility node j is selected for implementation, and if so, 1, otherwise, 0.
Device embodiment
According to an embodiment of the present invention, there is provided a rural public facility optimization apparatus based on multi-scenario population prediction, and fig. 3 is a schematic diagram of the rural public facility optimization apparatus based on multi-scenario population prediction according to the embodiment of the present invention, as shown in fig. 3, the rural public facility optimization apparatus based on multi-scenario population prediction according to the embodiment of the present invention specifically includes:
a building module 30 for building a topical population database based on the obtained census data; the method is particularly used for:
and establishing a thematic population database taking the resident population, the population age structure and the outflow and inflow population as themes according to the general population, the resident population, the household population and the population of each administrative village and the resident population and the outflow and inflow population of each administrative village which are separated from the administrative village for more than a certain time in the census data, wherein A is a positive integer.
A setting module 32, configured to set a plurality of different scenarios for the floating population in a certain future period of time according to the current population situation based on the topical population database; the method is particularly used for:
based on the thematic population database, 6 different scenes are set for the floating population in a certain time period in the future according to the current population condition to be simulated, wherein the 6 different scenes specifically comprise:
first scenario: the floating population is affected by industry base and public service capability, tending to flow into villages where industry base or public service infrastructure base is better, the increase in the floating population from other villages in county is less than or equal to a first percentage over a predetermined period of time;
second scenario: the population is not influenced by the industrial foundation and the public service facility capacity, and the population is continuously resided in villages where the home registration is located and is not resided in other villages;
third scenario: the county-outside population mainly flows to villages and towns with better industry foundations or stronger public service facilities, and the administrative county-outside inflow population with better industry foundations or stronger public service facilities increases by more than or equal to a second percentage in a preset time period;
fourth scenario: the population is not influenced by factors of industry or public service facilities, and mainly flows back to villages and towns where the household is located, and the inflow population outside each village and county is increased by more than or equal to a second percentage in a preset time period;
fifth scenario: the population of the county continues to flow, and each village outflow population increases by greater than or equal to a second percentage over a predetermined period of time;
sixth scenario six: there is a difference in outflow population between the administrative villages, wherein the outflow population of the administrative villages whose industry base is better or adjacent to the county-town center increases by less than or equal to a first percentage over a predetermined period of time, and the outflow population of the administrative villages farther from the industrial park or county-town center increases by more than or equal to a second percentage over the predetermined period of time.
The evaluation module 34 is used for evaluating the supply and demand relationship and the travel cost of the public service facilities under the multi-scenario simulation, analyzing the layout rationality of the public service facilities under the multi-scenario simulation and obtaining an evaluation result; the method is particularly used for:
according to the multi-scenario simulation result, based on the formula 1 and the formula 2, the supply and demand relationship of the public service facilities of the administrative village is evaluated by combining thousands of indexes under consideration of population numbers of different age structures:
equation 1;
equation 2;
wherein Pm is thousands of owning quantity of practical m-class facilities, P is practical population quantity of different age groups of the administrative village, qm is practical facility quantity in the administrative village, tm is thousand-person facility quantity which should be configured in the administrative village in the relevant planning standard, sm represents matching relation between the practical quantity of m-class facilities and standard quantity, low-allocation is that public service facility configuration of the administrative village lags behind population quantity of the administrative village, high-allocation is that public service facility quantity of the administrative village is matched with population quantity, and high-allocation is that public service facility quantity of the administrative village is advanced than population quantity, and if Pm is 0, the public service facility quantity of the administrative village is missed;
and (3) establishing an OD cost matrix between the residential points and the public service facility points, measuring the shortest travel time from the residential points to different public service facilities, and obtaining a reachability evaluation result.
An optimization module 36 for optimizing the public service facility layout using the maximized coverage model based on the evaluation result. The method is particularly used for:
optimizing public service facility layout by using a maximized coverage model according to the supply-demand relationship and the accessibility evaluation result of the public service facilities in the administrative village, wherein the maximized coverage model is shown in a formula 3, and the constraint condition is shown in a formula 4 to a formula 8:
equation 3;
equation 4;
equation 5;
equation 6;
equation 7;
equation 8;
wherein N represents a set of demand points N; d, d i Representing the i-th demand point demand; c (C) j Representing the capacity of the facility node j; a (j) represents a set of demand points covered by the facility node j; b (i) represents a set of facilities that can cover the demand point i; p is the number of facilities allowed to be built; y is ij Representing the portion of demand points i demand that is assigned to the service of facility node j, y ij ≤1；x j Indicating whether the facility node j is selected for implementation, and if so, 1, otherwise, 0.
The embodiment of the present invention is an embodiment of a device corresponding to the embodiment of the method, and specific operations of each module may be understood by referring to descriptions of the embodiment of the method, which are not repeated herein.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (6)
1. A rural utility optimization method based on multi-scenario population prediction, comprising:
establishing a thematic population database based on the acquired census data;
setting a plurality of different scenes of the floating population in a certain future time period according to the current population condition based on the thematic population database;
evaluating the supply and demand relationship and the travel cost of the public service facilities under the multi-scenario simulation, analyzing the layout rationality of the public service facilities under the multi-scenario simulation, and obtaining an evaluation result, wherein the method specifically comprises the following steps of:
according to the multi-scenario simulation result, based on the formula 1 and the formula 2, the supply and demand relationship of the public service facilities of the administrative village is evaluated by combining thousands of indexes under consideration of population numbers of different age structures:
pm=qm/p×1000 formula 1;
wherein Pm is thousands of owning quantity of practical m-class facilities, P is practical population quantity of different age groups of the administrative village, qm is practical facility quantity in the administrative village, tm is thousand-person facility quantity which should be configured in the administrative village in the relevant planning standard, sm represents matching relation between the practical quantity of m-class facilities and standard quantity, low-allocation is that public service facility configuration of the administrative village lags behind population quantity of the administrative village, high-allocation is that public service facility quantity of the administrative village is matched with population quantity, and high-allocation is that public service facility quantity of the administrative village is advanced than population quantity, and if Pm is 0, the public service facility quantity of the administrative village is missed;
establishing an OD cost matrix between the residential points and the public service facility points, measuring the shortest travel time from the residential points to different public service facilities, and obtaining a reachability evaluation result;
optimizing public service facility layout using a maximized coverage model based on the evaluation result, specifically including:
optimizing public service facility layout by using a maximized coverage model according to the supply-demand relationship and the accessibility evaluation result of the public service facilities in the administrative village, wherein the maximized coverage model is shown in a formula 3, and the constraint condition is shown in a formula 4 to a formula 8:
y ij not less than 0, ij ε N formula 7;
x j e {0,1} equation 8;
wherein N represents a set of demand points N; d, d i Representing the i-th demand point demand; c (C) j Representing the capacity of the facility node j; a (j) represents a set of demand points covered by the facility node j; b (i) represents a set of facilities that can cover the demand point i; p is the number of facilities allowed to be built; y is ij Representing the portion of demand points i demand that is assigned to the service of facility node j, y ij ≤1；x j Indicating whether the facility node j is selected for implementation, and if so, 1, otherwise, 0.
2. The method of claim 1, wherein building a topical population database based on the obtained census data comprises:
and establishing a thematic population database taking the resident population, the population age structure and the outflow and inflow population as themes according to the resident population, the household population and the population of each administrative village and the resident population and the outflow and inflow population of each administrative village which are separated from the administrative village for more than a certain time in the census data.
3. The method of claim 1, wherein simulating the setting of a plurality of different scenarios for the floating population over a future period of time based on the topical population database according to the current population situation comprises:
based on the thematic population database, 6 different scenes are set for the floating population in a certain time period in the future according to the current population condition to be simulated, wherein the 6 different scenes specifically comprise:
first scenario: the floating population is affected by industry base and public service capability, tending to flow into villages where industry base or public service infrastructure base is better, the increase in the floating population from other villages in county is less than or equal to a first percentage over a predetermined period of time;
second scenario: the population is not influenced by the industrial foundation and the public service facility capacity, and the population is continuously resided in villages where the home registration is located and is not resided in other villages;
third scenario: the county-outside population mainly flows to villages and towns with better industry foundations or stronger public service facilities, and the administrative county-outside inflow population with better industry foundations or stronger public service facilities increases by more than or equal to a second percentage in a preset time period;
fourth scenario: the population is not influenced by factors of industry or public service facilities, and mainly flows back to villages and towns where the household is located, and the inflow population outside each village and county is increased by more than or equal to a second percentage in a preset time period;
fifth scenario: the population of the county continues to flow, and each village outflow population increases by greater than or equal to a second percentage over a predetermined period of time;
sixth scenario six: there is a difference in outflow population between the administrative villages, wherein the outflow population of the administrative villages whose industry base is better or adjacent to the county-town center increases by less than or equal to a first percentage over a predetermined period of time, and the outflow population of the administrative villages farther from the industrial park or county-town center increases by more than or equal to a second percentage over the predetermined period of time.
4. A rural utility optimization apparatus based on multi-scenario population prediction, comprising:
the establishing module is used for establishing a thematic population database based on the acquired census data;
the setting module is used for setting a plurality of different scenes for the floating population in a certain future time period according to the current population condition based on the thematic population database;
the evaluation module is used for evaluating the supply and demand relation and the travel cost of the public service facilities under the multi-scenario simulation, analyzing the layout rationality of the public service facilities under the multi-scenario simulation, and obtaining an evaluation result, and is specifically used for:
according to the multi-scenario simulation result, based on the formula 1 and the formula 2, the supply and demand relationship of the public service facilities of the administrative village is evaluated by combining thousands of indexes under consideration of population numbers of different age structures:
pm=qm/p×1000 formula 1;
wherein Pm is thousands of owning quantity of practical m-class facilities, P is practical population quantity of different age groups of the administrative village, qm is practical facility quantity in the administrative village, tm is thousand-person facility quantity which should be configured in the administrative village in the relevant planning standard, sm represents matching relation between the practical quantity of m-class facilities and standard quantity, low-allocation is that public service facility configuration of the administrative village lags behind population quantity of the administrative village, high-allocation is that public service facility quantity of the administrative village is matched with population quantity, and high-allocation is that public service facility quantity of the administrative village is advanced than population quantity, and if Pm is 0, the public service facility quantity of the administrative village is missed;
establishing an OD cost matrix between the residential points and the public service facility points, measuring the shortest travel time from the residential points to different public service facilities, and obtaining a reachability evaluation result;
an optimizing module, configured to optimize a public service facility layout using a maximized coverage model based on the evaluation result, specifically configured to:
optimizing public service facility layout by using a maximized coverage model according to the supply-demand relationship and the accessibility evaluation result of the public service facilities in the administrative village, wherein the maximized coverage model is shown in a formula 3, and the constraint condition is shown in a formula 4 to a formula 8:
y ij not less than 0, ij ε N formula 7;
x j e {0,1} equation 8;
wherein N represents a set of demand points N; d, d i Representing the i-th demand point demand; c (C) j Representing the capacity of the facility node j; a (j) represents a set of demand points covered by the facility node j; b (i) represents a set of facilities that can cover the demand point i; p is the number of facilities allowed to be built; y is ij Representing the portion of demand points i demand that is assigned to the service of facility node j, y ij ≤1；x j Indicating whether the facility node j is selected for implementation, and if so, 1, otherwise, 0.
5. The apparatus of claim 4, wherein the means for establishing is specifically configured to:
and establishing a thematic population database taking the resident population, the population age structure and the outflow and inflow population as themes according to the resident population, the household population and the population of each administrative village and the resident population and the outflow and inflow population of each administrative village which are separated from the administrative village for more than a certain time in the census data.
6. The apparatus of claim 4, wherein the setting module is specifically configured to:
based on the thematic population database, 6 different scenes are set for the floating population in a certain time period in the future according to the current population condition to be simulated, wherein the 6 different scenes specifically comprise:
first scenario: the floating population is affected by industry base and public service capability, tending to flow into villages where industry base or public service infrastructure base is better, the increase in the floating population from other villages in county is less than or equal to a first percentage over a predetermined period of time;
second scenario: the population is not influenced by the industrial foundation and the public service facility capacity, and the population is continuously resided in villages where the home registration is located and is not resided in other villages;
third scenario: the county-outside population mainly flows to villages and towns with better industry foundations or stronger public service facilities, and the administrative county-outside inflow population with better industry foundations or stronger public service facilities increases by more than or equal to a second percentage in a preset time period;
fourth scenario: the population is not influenced by factors of industry or public service facilities, and mainly flows back to villages and towns where the household is located, and the inflow population outside each village and county is increased by more than or equal to a second percentage in a preset time period;
fifth scenario: the population of the county continues to flow, and each village outflow population increases by greater than or equal to a second percentage over a predetermined period of time;
sixth scenario six: there is a difference in outflow population between the administrative villages, wherein the outflow population of the administrative villages whose industry base is better or adjacent to the county-town center increases by less than or equal to a first percentage over a predetermined period of time, and the outflow population of the administrative villages farther from the industrial park or county-town center increases by more than or equal to a second percentage over the predetermined period of time.
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