System and method for evaluating reasonability of population distribution

Abstract

The invention relates to the technical field of population distribution, in particular to a system and method for evaluating the reasonability of population distribution. According to the method, a multi-factor layered stacking model is constructed through multi-factor indexes of a human settlement environment index, a land resource bearing index, a water resource bearing index, a material accumulation index and a human development index; dividing an evaluation area into a population restriction area, a population contraction area, a population stable area or a population gathering area by taking a county as a unit through a multi-factor layered superposition model, and obtaining a multi-factor index and an area classification result of the evaluation area based on the multi-factor layered superposition model. Through the appropriate population capacity of possibility-satisfaction and a distribution model, regions where the possible populations live and corresponding population distribution are obtained; the method achieves the evaluation of the reasonable degree of matching between the population and the related information of economy, society, resources, environment and the like, and provides support for the formulation of national population and matched resource planning policies.

Description

Technical Field

[0001] The present invention relates to the technical field of population distribution, and particularly relates to a system and method for evaluating the rationality of population distribution. Background Art

[0002] As a large populous country, the population distribution in China is unbalanced, and the geographical characteristics of different regions vary greatly. According to the geographical conditions of China, it is necessary to seek a reasonable population distribution, so as to understand the service needs of different regions, rationally allocate public resources such as medical care, education, and culture, improve the coverage and satisfaction of public services, improve resource utilization rate and resource management level, and make the population growth coordinated with resource utilization and environmental protection. Summary of the Invention

[0003] Based on this, the present invention aims to provide a system and method for evaluating the rationality of population distribution, analyze and judge the relationships between the population layout and economic layout, urbanization construction, resource and environmental carrying capacity, etc. of each region, and put forward policy suggestions for the orderly flow and reasonable distribution of the population.

[0004] To solve the above problems, the present invention adopts the following technical solutions:

[0005] On the one hand, the present invention provides a system for evaluating the rationality of population distribution, including a regional classification module and an evaluation module;

[0006] The regional classification module is used to construct a multi-factor stratified overlay model through multi-factor indexes such as the human settlement environment index, land resource carrying index, water resource carrying index, material accumulation index, and human development index, and divide the evaluation area into population restricted areas, population shrinking areas, population stable areas, or population agglomeration areas with counties as units through the multi-factor stratified overlay model;

[0007] The evaluation module is used to obtain the multi-factor indexes and regional classification results of the evaluation area based on the multi-factor stratified overlay model, and obtain the areas where the population can live and the corresponding population distribution through the possible-satisfaction moderate population capacity and distribution model.

[0008] As an implementable manner, the human settlement environment index is calculated by the following formula:

[0009] HEI = α i ×NRDLS + β i ×NTHI + χ i ×NWRI + δ i ×NLCI i = 1, 2,..., 8;

[0010] Among them, HEI is the human settlement environment index, NRDLS is the normalized terrain relief degree, NTHI is the normalized temperature and humidity index, NWRI is the normalized hydrological index, NLCI is the normalized ground cover index, and α, β, χ, and δ are the weights corresponding to the normalized terrain relief degree, temperature and humidity index, hydrological index, and ground cover index, respectively;

[0011] The land resource carrying capacity index is calculated by the following formula:

[0012] LCCI = P α / LCC

[0013] LCC = G / G pc ;

[0014] Among them, LCCI is the land resource carrying capacity index, LCC is the land resource carrying capacity, G is the total grain output, and G pc is the per capita grain consumption standard;

[0015] The water resource carrying capacity index is calculated by the following formula:

[0016] WCCI = Pa / WCC

[0017] WCC = W / Wpc;

[0018] Among them, WCCI is the water resource carrying capacity index, WCC is the water resource carrying capacity, W is the available water resource volume, Wpc is the per capita comprehensive water consumption, and Pa is the actual population number;

[0019] The material accumulation index = (normalized infrastructure index + normalized accessibility index + economic level index) / 3;

[0020] The human development index is calculated by the following formula:

[0021]

[0022] LEI = (LE - 20) / (83.2 - 20)

[0023]

[0024] MYSI = (MYS - 0) / (13.2 - 0)

[0025] EYSI = (EYS - 0) / (20.6 - 0)

[0026] II = (ln(GNIpc) - ln(163)) / (ln(108211) - ln(163));

[0027] Among them, HDI is the Human Development Index, LEI is the Life Expectancy Index, EI is the Education Index, II is the Income Index, and LE is the life expectancy; MYSI is the Mean Years of Schooling Index, EYSI is the Expected Years of Schooling Index, MYS is the average number of years of schooling received by people aged 25 or older, and EYS is the number of years of schooling that a 5-year-old child will receive in their lifetime; GNIpc is the Gross National Income per capita.

[0028] As an implementable manner, the human settlement environment index of the population restriction area is below 20;

[0029] The human settlement environment index of the population shrinkage area is between 20 and 60, the land resource carrying index is greater than 1.125, the water resource carrying index is greater than 1.3, and the material accumulation index and the human development index do not exceed 0.70;

[0030] The human settlement environment index of the population stable area is above 40, the land resource carrying index does not exceed 1.125, the water resource carrying index does not exceed 1.3, and the material accumulation index and the human development index are not less than 0.70;

[0031] The human settlement environment index of the population agglomeration area is above 60, the water and land resource carrying index does not exceed 1, and both the material accumulation index and the human development index are not less than 0.70.

[0032] As an implementable manner, the possibility-satisfaction of the moderate population capacity and distribution model is expressed as:

[0033] w(α) = [p(r)q(s)] s.t. f(r, s, α) = 0

[0034] Among them, r ∈ R, s ∈ S, α ∈ A;

[0035] Among them, w(α) is the degree of being both possible and satisfied. The attribute r has a possibility curve p(r), another attribute s has a satisfaction curve q(s), r, s and another attribute α satisfy f(r, s, α) = 0, and R, S, A respectively represent the admissible sets of the attributes r, s, α;

[0036] Adopt the merging methods of weak merging and strong merging to merge the three-segment line and / or S-shaped curve of possibility and satisfaction to obtain the possibility-satisfaction curve;

[0037] Merge multiple possibility-satisfaction curves in the merging ways of weak merging, strong merging and variable-weight summation to obtain the possibility-satisfaction curves under different constraint conditions.

[0038] On the other hand, the present invention provides a method for evaluating the rationality of population distribution, including:

[0039] Construct a multi-factor stratification and overlay model through multi-factor indicators of the human settlement environment index, land resource carrying capacity index, water resource carrying capacity index, material accumulation index, and human development index. Divide the evaluation area into population restricted areas, population shrinking areas, population stable areas, or population agglomeration areas at the county level through the multi-factor stratification and overlay model;

[0040] Based on the multi-factor stratification and overlay model, obtain the multi-factor indicators and regional classification results of the evaluation area, and obtain the areas where the population can live and the corresponding population distribution through the possible-satisfaction moderate population capacity and distribution model.

[0041] As an implementable method, the human settlement environment index is calculated by the following formula:

[0042] HEI = α i ×NRDLS + β i ×NTHI + χ i ×NWRI + δ i ×NLCI i = 1, 2,..., 8;

[0043] where HEI is the human settlement environment index, NRDLS is the standardized terrain undulation degree, NTHI is the standardized temperature and humidity index, NWRI is the standardized hydrological index, NLCI is the standardized ground cover index, and α, β, χ, and δ are the weights corresponding to each standardized terrain undulation degree, temperature and humidity index, hydrological index, and ground cover index respectively;

[0044] The land resource carrying capacity index is calculated by the following formula:

[0045] LCCI = P α / LCC

[0046] LCC = G / G pc ;

[0047] where LCCI is the land resource carrying capacity index, LCC is the land resource carrying capacity, G is the total grain output, and G pc is the per capita grain consumption standard;

[0048] The water resource carrying capacity index is calculated by the following formula:

[0049] WCCI = Pa / WCC

[0050] WCC = W / Wpc;

[0051] where WCCI is the water resource carrying capacity index, WCC is the water resource carrying capacity, W is the available water resource volume, Wpc is the per capita comprehensive water consumption, and Pa is the actual population quantity;

[0052] The material accumulation index = (normalized infrastructure index + normalized accessibility index + economic level index) / 3;

[0053] The human development index is calculated by the following formula:

[0054]

[0055] LEI = (LE - 20) / (83.2 - 20)

[0056]

[0057] MYSI = (MYS - 0) / (13.2 - 0)

[0058] EYSI = (EYS - 0) / (20.6 - 0)

[0059] II = (ln(GNIpc) - ln(163)) / (ln(108211) - ln(163));

[0060] Among them, HDI is the human development index, LEI is the life expectancy index, EI is the education index, II is the income index, and LE is the life expectancy; MYSI is the average years of schooling index, EYSI is the expected years of schooling index, MYS is the average years of schooling of people aged 25 or above, EYS is the years of schooling that children aged 5 will receive in their lifetime; GNIpc is the per capita national income.

[0061] As an implementable mode, the human settlement environment index of the population restricted area is below 20;

[0062] The human settlement environment index of the population shrinking area is between 20 and 60, the land resource carrying index is greater than 1.125, the water resource carrying index is greater than 1.3, and the material accumulation index and the human development index do not exceed 0.70;

[0063] The human settlement environment index of the population stable area is above 40, the land resource carrying index does not exceed 1.125, the water resource carrying index does not exceed 1.3, and the material accumulation index and the human development index are not less than 0.70;

[0064] The human settlement environment index of the population agglomeration area is above 60, the water and land resource carrying index does not exceed 1, and the material accumulation index and the human development index are not less than 0.70.

[0065] As an implementable mode, the possibility - satisfaction of the possible - satisfaction moderate population capacity and distribution model is expressed as:

[0066] w(α) = [p(r)q(s)] such that f(r, s, α) = 0

[0067] where r ∈ R, s ∈ S, α ∈ A;

[0068] where w(α) is the degree of possibility and satisfaction. The attribute r has a possibility curve p(r), another attribute s has a satisfaction curve q(s), r, s and another attribute α satisfy f(r, s, α) = 0, and R, S, A respectively represent the admissible sets of attributes r, s, α ;

[0069] Adopt the combination methods of weak combination and strong combination to combine the three - fold line and / or S - type curve of possibility and satisfaction to obtain the possibility - satisfaction curve;

[0070] Combine multiple possibility - satisfaction curves in the combination ways of weak combination, strong combination and variable - weight summation to obtain the possibility - satisfaction curves under different constraint conditions.

[0071] A non - transitory computer - readable storage medium storing a computer program, wherein the computer program, when executed by a processor of a computer, is used to cause the computer to execute the method for evaluating the rationality of population distribution.

[0072] An electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; the memory stores a computer program capable of being executed by the at least one processor, and the computer program, when executed by the at least one processor, is used to cause the electronic device to execute the method for evaluating the rationality of population distribution.

[0073] The beneficial effect of the present invention is that: through designing a multi - factor hierarchical overlay model and a moderate population capacity and distribution model of possibility - satisfaction, the present invention realizes the evaluation of the reasonable matching degree of population and related information such as economy, society, resources, and environment, providing support for formulating national population and supporting resource planning policies. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 It is a schematic diagram of a system for evaluating the rationality of population distribution according to the present invention.

[0075] Figure 2 It is a schematic diagram of a three - fold line of possibility according to the present invention.

[0076] Figure 3 It is a schematic diagram of an S - type curve of possibility according to the present invention.

[0077] Figure 4 It is a flowchart of a method for evaluating the rationality of population distribution according to the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0078] The present invention will be further described in detail below in conjunction with specific embodiments.

[0079] It should be noted that these embodiments are only used to illustrate the present invention, rather than limiting the present invention. Any simple improvement of the method under the premise of the concept of the present invention belongs to the scope protected by the present invention.

[0080] See Figure 1 , a system for evaluating the rationality of population distribution, including a regional classification module 100 and an evaluation module 200.

[0081] The regional classification module 100 is used to construct a multi-factor stratification overlay model through multi-factor indicators such as the human settlement environment index, land resource carrying capacity index, water resource carrying capacity index, material accumulation index, and human development index, and divide the evaluation area into population restricted areas, population shrinking areas, population stable areas, or population agglomeration areas with counties as units through the multi-factor stratification overlay model.

[0082] In the above multi-factor stratification overlay model, the human settlement environment index is calculated by the following formula:

[0083] HEI = α i ×NRDLS + β i ×NTHI + χ i ×NWRI + δ i ×NLCI i = 1, 2,..., 8;

[0084] Among them, HEI is the human settlement environment index, NRDLS is the standardized terrain undulation degree, NTHI is the standardized temperature and humidity index, NWRI is the standardized hydrological index, NLCI is the standardized ground cover index, α, β, χ, and δ are the weights corresponding to each standardized terrain undulation degree, temperature and humidity index, hydrological index, and ground cover index respectively, and i is a certain area;

[0085] The land resource carrying capacity index is calculated by the following formula:

[0086] LCCI = P α / LCC

[0087] LCC = G / G pc ;

[0088] Among them, LCCI is the land resource carrying capacity index, P a is the actual population quantity, LCC is the land resource carrying capacity, G is the total grain output, and G pc is the per capita grain consumption standard;

[0089] The water resource carrying capacity index is calculated by the following formula:

[0090] WCCI = Pa / WCC

[0091] WCC = W / Wpc;

[0092] Among them, WCCI is the water resources carrying capacity index, WCC is the water resources carrying capacity, W is the available water resources, Wpc is the per capita comprehensive water consumption, and Pa is the actual population;

[0093] The material accumulation index = (normalized infrastructure index + normalized accessibility index + economic level index) / 3;

[0094] The human development index is calculated by the following formula:

[0095]

[0096] LEI = (LE - 20) / (83.2 - 20)

[0097]

[0098] MYSI = (MYS - 0) / (13.2 - 0)

[0099] EYSI = (EYS - 0) / (20.6 - 0)

[0100] II = (ln(GNIpc) - ln(163)) / (ln(108211) - ln(163));

[0101] Among them, HDI is the human development index, LEI is the life expectancy index, EI is the education index, II is the income index, and LE is the life expectancy; MYSI is the average years of schooling index, EYSI is the expected years of schooling index, MYS is the average years of schooling of people aged 25 or above in school, EYS is the number of years of education that children aged 5 will receive in their lifetime; GNIpc is the per capita national income.

[0102] The multi-factor stratification and overlay model is based on the resource and environment data of kilometer grids and takes counties as the basic units. According to the human settlement environment index, land resources carrying capacity index, water resources carrying capacity index, material accumulation index and human development index, it can be initially divided into 4 types of population development functional areas: population restricted areas, population shrinking areas, population stable areas and population agglomeration areas.

[0103] The human settlement environment index of the population restricted area is below 20. It is located in an area where the human settlement environment is unsuitable, and it is not suitable for humans to live and reside all year round. The ecological environment in such areas is fragile, the resource and environment carrying capacity is limited, and it is restricted by many natural factors such as terrain, climate, hydrology and ground cover. The population is sparse and concentrated in a small number of river valleys and oases. Large areas of wasteland are actually "uninhabited areas".

[0104] The human settlement environment index in the population shrinkage area is between 20 and 60, the land resource carrying capacity index is greater than 1.125, the water resource carrying capacity index is greater than 1.3, and the material accumulation index and the human development index do not exceed 0.70. Located in areas with a critically suitable or generally suitable human settlement environment, the resource and environment carrying capacity is critically overloaded or overloaded, and the material accumulation foundation and the degree of human development are at a medium or lower level. In such areas, the population and industries are relatively dispersed, and the urbanization level is not high; the population is relatively unbalanced with the economic and social development of the resource and environment, and coordinated development is urgently needed.

[0105] The human settlement environment index in the population stable area is above 40, the land resource carrying capacity index does not exceed 1.125, the water resource carrying capacity index does not exceed 1.3, and the material accumulation index and the human development index are not less than 0.70. Located in areas with a suitable human settlement environment (including generally suitable areas, relatively suitable areas, and highly suitable areas), the resource and environment carrying capacity is balanced or surplus, and the material accumulation foundation and the human development level are above medium. In such areas, the population and industries are concentrated, the transportation is convenient, and the urbanization level is relatively high; the population is basically coordinated with the economic and social aspects of the resource and environment, but the natural space is limited, and the population needs to develop stably.

[0106] The human settlement environment index in the population agglomeration area is above 60, the water and land resource carrying capacity index does not exceed 1, and both the material accumulation index and the human development index are not less than 0.70. Located in areas with a relatively suitable and highly suitable human settlement environment, the resource and environment carrying capacity is balanced with surplus or in surplus, and the material accumulation foundation and the human development level are above medium. In such areas, the population and industries are concentrated, the transportation is convenient, the urbanization level is relatively high, and the coordination state between the population and the economic and social aspects of the resource and environment is good, with a certain development space.

[0107] The evaluation module 200 is used to obtain the multi-factor indicators and regional classification results of the evaluation area based on the multi-factor stratification and overlay model, and obtain the areas where the population may live appropriately and the corresponding population distribution through the possible-satisfaction moderate population capacity and distribution model.

[0108] The present invention performs operations on the above index data through the multi-factor stratification and overlay model, outputs the evaluation indicators for the rationality of population distribution: human settlement environment index (HEI), land resource carrying capacity index (LCCI), water resource carrying capacity index (WCCI), material accumulation index (HMI), human development index (HDI), and regional classification results, and substitutes the above data into the possible-satisfaction moderate population capacity and distribution model to obtain the areas where the population may live appropriately and the corresponding population distribution.

[0109] The possible-satisfaction moderate population capacity and distribution model of the present invention has a possibility curve P(r) for a certain attribute r, a satisfaction curve Q(s) for another attribute s, and r, s satisfy a certain relational expression with another attribute α (year or region), that is, f(r, s, α) = 0. Then, through certain rules, P(r) and Q(s) can be combined into a possible-satisfaction curve with respect to attribute α, which quantitatively describes the degree of being both possible and satisfactory, denoted as W, ∈ [0, 1]. When W = 1, it means 100% being both possible and satisfactory; when W = 0, it means either completely impossible or completely unsatisfactory. Thus, when the real number in the value range [0, 1] of W is taken, different possible-satisfactions can be represented, which is expressed in mathematical language as follows:

[0110] w(α) = [p(r)q(s)] s.t. f(r, s, α) = 0

[0111] where r ∈ R, s ∈ S, α ∈ A

[0112] Here, R, S, and A respectively represent the admissible sets (domains) of attributes r, s, and α. Substituting the above population distribution rationality evaluation indicators into r and s in the formula, the areas where the population may live and the corresponding population distribution can be obtained.

[0113] If the situation of being both possible and satisfactory is represented, the relationship between different attribute possible-satisfactions can be quantitatively described by the following formula:

[0114]

[0115] where r ∈ R, s ∈ S, α ∈ A

[0116] In specific operations, generally there are two ways of strong combination and weak combination. The former means that the possible-satisfaction after combination strictly exists, which is expressed in mathematical language as follows:

[0117]

[0118] where r ∈ R, s ∈ S, α ∈ A

[0119] When α = r = s, there is w(α) = [p(r)q(s)], α ∈ A.

[0120] Through different combination methods, many (possibly only one left after multiple combinations) possible-satisfaction curves under different constraint conditions can be obtained. In this way, under the same coordinate, the constraint intensity and trend of different constraint factors on the research object can be seen to make an optimal choice. The specific process includes the following:

[0121] The tri-linear and / or S-shaped curves of possibility and satisfaction degree are combined by means of weak combination and strong combination to obtain the possibility-satisfaction degree curve;

[0122] Multiple possibility-satisfaction degree curves are combined by means of weak combination, strong combination and variable weight summation to obtain the possibility-satisfaction degree curves under different constraint conditions.

[0123] ① Mathematical forms of possibility and satisfaction degree curves

[0124] In practical applications, according to the definitions of possibility and satisfaction degree, the mathematical forms of curves such as tri-linear curves and S-shaped curves can be used to represent possibility and satisfaction degree. For example, the description of possibility P is represented by a tri-linear curve as follows, and the diagram is shown in Figure 2 , r A , r B are the values of two turning points and need to be set according to experience or actual situations:

[0125]

[0126] When p (or q) = 1 or p (or q) = 0, there is often less argument; in the interval of p (or q) = (0-1), there may be more arguments, reflecting the current situation of lack of confidence. This method brings great convenience to the discussion of complex problems such as population and energy.

[0127] In addition to the tri-linear curve, there is also the S-shaped curve. This is also a commonly used curve, and its mathematical form is expressed as follows, and the diagram is shown in Figure 3 :

[0128]

[0129] The mathematical form of the satisfaction degree curve q(s) is similar to the above-mentioned possibility degree curve form and will not be elaborated here.

[0130] ② Combination algorithm of possibility and satisfaction degree

[0131] As mentioned above, possibility and satisfaction degree can be combined into a possibility-satisfaction degree curve, which is divided into two methods: strong combination and weak combination. If there are functional formulas such as p(r), q(s) and f(r, s, α), etc., the corresponding formula solutions can be obtained for the possibility-satisfaction degree.

[0132] In one case, when the constraint condition is (the set of real numbers), the weak combination solution w(α) when p(r) and q(s) are tri-linear curves can be obtained as:

[0133]

[0134] When p(r) and q(s) are in the form of Equation (8) and are S-shaped curves, the weak merger solution w(α) is as follows:

[0135]

[0136] Among them, S A 、S B are the satisfaction degrees corresponding to the two turning points of r A 、r B respectively.

[0137] ③ The merger method of two or more possibility-satisfaction curves

[0138] After calculating several possibility-satisfaction curves, when making decision analysis, multiple curves need to be merged and analyzed. There are various merger methods in the merger algorithm. Here, mainly three merger algorithms between possibility-satisfaction curves are considered.

[0139] Suppose there are two possibility-satisfaction curves w1 and w2, and the following several merger algorithms are expressed as follows:

[0140] The first case: weak merger

[0141] The symbol is <…(Mm)…>, and its special case is <…(m)…>

[0142] w1(m)w2 = min{w1, w2}.

[0143] The second case: strong merger

[0144] The symbol is <…(M.)...> or <…(.)...>.

[0145] W1(M.)w2 = max{w1, w2}

[0146] w1(.)W2 = w1.W2.

[0147] The third case: variable weight summation

[0148] The symbol is <…(M+)...>.

[0149] W1(M+)W2 = αw1 + βw2.

[0150] Among them, α + β = 1.

[0151] The superiority of the possibility-satisfaction method is mainly reflected in the fact that it has the characteristics of the unity of analysis and synthesis. It can also merge different possibility-satisfaction curves according to different theoretical assumptions and premises, and finally obtain the optimal solutions under different theoretical assumptions. Due to the diversity of the merger methods, this method can flexibly meet the special preferences of people when making choices and comprehensively weighing different factors.

[0152] See Figure 4 , a method for evaluating the rationality of population distribution, including:

[0153] S100. Construct a multi-factor hierarchical overlay model through multi-factor indicators of the human settlement environment index, land resource carrying capacity index, water resource carrying capacity index, material accumulation index, and human development index. Divide the evaluation area into population restricted areas, population shrinking areas, population stable areas, or population agglomeration areas by county unit through the multi-factor hierarchical overlay model.

[0154] S200. Based on the multi-factor hierarchical overlay model, obtain the multi-factor indicators and regional classification results of the evaluation area, and obtain the areas where the population may live and the corresponding population distribution through the possible-satisfaction moderate population capacity and distribution model.

[0155] Among them, the human settlement environment index is calculated by the following formula:

[0156] HEI = α i ×NRDLS + β i ×NTHI + χ i ×NWRI + δ i ×NLCI i = 1, 2,..., 8;

[0157] Among them, HEI is the human settlement environment index, NRDLS is the standardized terrain undulation degree, NTHI is the standardized temperature and humidity index, NWRI is the standardized hydrological index, NLCI is the standardized ground cover index, and α, β, χ, and δ are the weights corresponding to each standardized terrain undulation degree, temperature and humidity index, hydrological index, and ground cover index respectively;

[0158] The land resource carrying capacity index is calculated by the following formula:

[0159] LCCI = P α / LCC

[0160] LCC = G / G pc ;

[0161] Among them, LCCI is the land resource carrying capacity index, LCC is the land resource carrying capacity, G is the total grain output, and G pc is the per capita grain consumption standard.

[0162] The water resource carrying capacity index is calculated by the following formula:

[0163] WCCI = Pa / WCC

[0164] WCC = W / Wpc;

[0165] Among them, WCCI is the water resource carrying capacity index, WCC is the water resource carrying capacity, W is the available water resource, Wpc is the per capita comprehensive water consumption, and Pa is the actual population quantity.

[0166] The material accumulation index = (normalized value of infrastructure index + normalized value of accessibility index + economic level index) / 3.

[0167] The human development index is calculated by the following formula:

[0168]

[0169] LEI = (LE - 20) / (83.2 - 20)

[0170]

[0171] MYSI = (MYS - 0) / (13.2 - 0)

[0172] EYSI = (EYS - 0) / (20.6 - 0)

[0173] II = (ln(GNIpc) - ln(163)) / (ln(108211) - ln(163));

[0174] Among them, HDI is the human development index, LEI is the life expectancy index, EI is the education index, II is the income index, and LE is the life expectancy; MYSI is the average years of schooling index, EYSI is the expected years of schooling index, MYS is the average years of schooling of people aged 25 or above, EYS is the years of schooling that a 5-year-old child will receive in his / her lifetime; GNIpc is the per capita national income.

[0175] Among them, the human settlement environment index in the population restricted area is below 20;

[0176] The human settlement environment index in the population shrinking area is between 20 and 60, the land resource carrying capacity index is greater than 1.125, the water resource carrying capacity index is greater than 1.3, and the material accumulation index and the human development index do not exceed 0.70;

[0177] The human settlement environment index in the population stable area is above 40, the land resource carrying capacity index does not exceed 1.125, the water resource carrying capacity index does not exceed 1.3, and the material accumulation index and the human development index are not less than 0.70;

[0178] The human settlement environment index in the population agglomeration area is above 60, the water and land resource carrying capacity index does not exceed 1, and the material accumulation index and the human development index are not less than 0.70.

[0179] The possibility-satisfaction of the possible-satisfaction moderate population capacity and distribution model is expressed as:

[0180] w(α) = [p(r)q(s)] such that f(r, s, α) = 0

[0181] where r ∈ R, s ∈ S, α ∈ A;

[0182] where w(α) is the degree of possibility and satisfaction. The attribute r has a possibility curve p(r), another attribute s has a satisfaction curve q(s), r, s and another attribute α satisfy f(r, s, α) = 0, and R, S, A respectively represent the admissible sets of the attributes r, s, α ;

[0183] The trilinear and / or S-shaped curves of possibility and satisfaction are combined by means of weak combination and strong combination to obtain a possibility-satisfaction curve;

[0184] Multiple possibility-satisfaction curves are combined by means of weak combination, strong combination and variable-weight summation to obtain possibility-satisfaction curves under different constraint conditions.

[0185] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not restrictive. Although the present invention has been described by referring to the preferred embodiments of the present invention, those of ordinary skill in the art should understand that various changes can be made in form and details without departing from the spirit and scope of the present invention defined by the appended claims.

Claims

1. A system for evaluating the rationality of population distribution, characterized in that: Includes regional classification module and assessment module; The regional classification module is used to construct a multi-factor hierarchical overlay model through multi-factor indicators of human settlement environment index, land resource carrying index, water resource carrying index, material accumulation index and human development index, and divide the assessment area into population restriction area, population shrinkage area, population stability area or population agglomeration area based on the county through the multi-factor hierarchical overlay model; The evaluation module is used to obtain multi-factor indicators and regional classification results of the evaluation area based on a multi-factor hierarchical overlay model, and to obtain the areas where the possible population lives and the corresponding population distribution through a possibility-satisfaction moderate population capacity and distribution model.

2. The system for evaluating the rationality of population distribution according to claim 1, characterized in that: The human settlement environment index is calculated by the following formula: HEI=a i ×NRDLS+β i ×NTHI+x i ×NWRI+d i ×NLCI, i=1,2,…,8; Among them, HEI is the human settlement environment index, NRDLS is the standardized terrain relief, NTHI is the standardized temperature and humidity index, NWRI is the standardized hydrological index, NLCI is the standardized land cover index, α, β, χ and δ are the weights corresponding to the standardized terrain relief, temperature and humidity index, hydrological index and land cover index, respectively, and i is a certain area; The land resource carrying index is calculated by the following formula: LCCI=P α / LCC LCC=G / G pc ; Among them, LCCI is the land resource carrying index, LCC is the land resource carrying capacity, G is the total grain output, G pc is the per capita food consumption standard; The water resources carrying index is calculated by the following formula: WCCI=Pa / WCC WCC=W / Wpc; Among them, WCCI is the water resources carrying index, WCC is the water resources carrying capacity, W is the available water resources, Wpc is the per capita comprehensive water consumption, and Pa is the actual population; The material accumulation index material accumulation index = (normalized value of infrastructure index + normalized value of accessibility index + economic level index) / 3; The human development index is calculated by the following formula: LEI = (LE-20) / (83.2-20) MYSI=(MYS-0) / (13.2-0) EYSI = (EYS-0) / (20.6-0) II=(ln(GNIpc)-ln(163)) / (ln(108211)-ln(163)); Among them, HDI is the Human Development Index, LEI is the life expectancy index, EI is the education index, II is the income index, and LE is life expectancy; MYSI is the mean school education years index, EYSI is the expected school education years index, MYS is the average number of years of schooling for people aged 25 or above, and EYS is the number of years of education that a 5-year-old child will receive in his or her lifetime; GNIpc is the per capita national income.

3. The system for evaluating the rationality of population distribution according to claim 2, characterized in that: The human settlement environment index of the population restricted area is below 20; The human settlement environment index of the population shrinking area is between 20 and 60, the land resource carrying index is greater than 1.125, the water resource carrying index is greater than 1.3, and the material accumulation index and human development index do not exceed 0.70; The human settlement environment index of the population stability zone is above 40, the land resource carrying index is no more than 1.125, the water resource carrying index is no more than 1.3, and the material accumulation index and human development index are no less than 0.70; The human settlement environment index of the population agglomeration area is above 60, the water and soil resources carrying index does not exceed 1, and the material accumulation index and human development index are not less than 0.

70.

4. The system for evaluating the rationality of population distribution according to claim 3, characterized in that: The possibility-satisfaction of the moderate population capacity and distribution model of the possibility-satisfaction is expressed as: w(α)=[p(r)q(s)]stf(r,s,α)=0 Among them, r∈R, s∈S, α∈A; Among them, w(α) is the degree of both possibility and satisfaction, attribute r has a possibility curve p(r), another attribute s has a satisfaction curve q(s), r, s and another attribute α satisfy f(r, s, α) = 0, R, S, A represent attributes r, s, α The admissible set of The three-fold lines and / or S-curves of possibility and satisfaction are merged by using weak merging and strong merging to obtain a possibility-satisfaction curve; Multiple possibility-satisfaction curves are merged by weak merging, strong merging and variable weighted summing to obtain possibility-satisfaction curves under different constraints.

5. A method for evaluating the rationality of population distribution, characterized in that: include: A multi-factor hierarchical overlay model was constructed through the multi-factor indicators of human settlement environment index, land resource carrying index, water resource carrying index, material accumulation index and human development index. The assessment area was divided into population restriction area, population shrinkage area, population stability area or population agglomeration area based on the county through the multi-factor hierarchical overlay model. Based on the multi-factor hierarchical overlay model, the multi-factor indicators and regional classification results of the evaluation area are obtained. The possible living areas and corresponding population distribution of the population are obtained through the possibility-satisfaction moderate population capacity and distribution model.

6. The method for evaluating the rationality of population distribution according to claim 5, characterized in that: The human settlement environment index is calculated by the following formula: HEI=a i ×NRDLS+β i ×NTHI+x i ×NWRI+d i ×NLCI, i=12,…,8; Among them, HEI is the human settlement environment index, NRDLS is the standardized terrain relief, NTHI is the standardized temperature and humidity index, NWRI is the standardized hydrological index, NLCI is the standardized land cover index, α, β, χ and δ are the weights corresponding to the standardized terrain relief, temperature and humidity index, hydrological index and land cover index, respectively, and i is a certain area; The land resource carrying index is calculated by the following formula: LCCI=P α / LCC LCC=G / G pc ; Among them, LCCI is the land resource carrying index, P a is the actual population, LCC is the carrying capacity of land resources, G is the total grain output, G pc is the per capita food consumption standard; The water resources carrying index is calculated by the following formula: WCCI=Pa / WCC WCC=W / Wpc; Among them, WCCI is the water resources carrying index, WCC is the water resources carrying capacity, W is the available water resources, Wpc is the per capita comprehensive water consumption, P a is the actual population size; The material accumulation index material accumulation index = (normalized value of infrastructure index + normalized value of accessibility index + economic level index) / 3; The human development index is calculated by the following formula: LEI = (LE-20) / (83.2-20) MYSI=(MYS-0) / (13.2-0) EYSI = (EYS-0) / (20.6-0) II=(ln(GNIpc)-ln(163)) / (ln(108211)-ln(163)); Among them, HDI is the Human Development Index, LEI is the life expectancy index, EI is the education index, II is the income index, and LE is life expectancy; MYSI is the mean school education years index, EYSI is the expected school education years index, MYS is the average number of years of schooling for people aged 25 or above, and EYS is the number of years of education that a 5-year-old child will receive in his or her lifetime; GNIpc is the per capita national income.

7. The method for evaluating the rationality of population distribution according to claim 6, characterized in that: The human settlement environment index of the population restricted area is below 20; The human settlement environment index of the population shrinking area is between 20 and 60, the land resource carrying index is greater than 1.125, the water resource carrying index is greater than 1.3, and the material accumulation index and human development index do not exceed 0.70; The human settlement environment index of the population stability zone is above 40, the land resource carrying index is no more than 1.125, the water resource carrying index is no more than 1.3, and the material accumulation index and human development index are no less than 0.70; The human settlement environment index of the population agglomeration area is above 60, the water and soil resources carrying index does not exceed 1, and the material accumulation index and human development index are not less than 0.

70.

8. The method for evaluating the rationality of population distribution according to claim 7, characterized in that: The possibility-satisfaction of the moderate population capacity and distribution model of the possibility-satisfaction is expressed as: w(α)=[p(r)q(s)]stf(r,s,α)=0 Among them, r∈R, s∈S, α∈A; Among them, w(α) is the degree of both possibility and satisfaction, attribute r has a possibility curve p(r), another attribute s has a satisfaction curve q(s), r, s and another attribute α satisfy f(r, s, α) = 0, R, S, A represent attributes r, s, α The admissible set of The three-fold lines and / or S-curves of possibility and satisfaction are merged by using weak merging and strong merging to obtain a possibility-satisfaction curve; Multiple possibility-satisfaction curves are merged by weak merging, strong merging and variable weighted summing to obtain possibility-satisfaction curves under different constraints.

9. A non-transitory computer-readable storage medium storing a computer program, wherein: When the computer program is executed by a processor of a computer, it is used to cause the computer to execute the method for evaluating the rationality of population distribution as described in any one of claims 5-8.

10. An electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program that can be executed by the at least one processor, and when the computer program is executed by the at least one processor, it is used to enable the electronic device to perform the method for evaluating the rationality of population distribution as described in any one of claims 5-8.

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