Method for evaluating coupling coordination degree of regional three-generation space

Abstract

The invention provides a method for evaluating the coupling coordination degree of a regional three-generation space, and relates to the technical field of territorial space optimization and adjustment. The method comprises the steps of obtaining index data of a target area, the index data comprising a plurality of indexes included in each evaluation object in a plurality of evaluation objects of the target area, and performing standardization processing on a plurality of index values included in each index to obtain corresponding standard values; determining the weight of each index; determining an evaluation score of each evaluation object according to the standard value and the weight of each index in the plurality of indexes included in each evaluation object; an evaluation result of the target area is determined according to the evaluation score, the evaluation result comprises a coupling stage and a coupling type of the three-generation space, and the coupling type is used for representing the coordination degree of the three-generation space of the target area. Through the evaluation result, the coupling relationship among the ecological space, the production space and the living space in the research area can be efficiently and accurately displayed, and the harmony of the regional three-life space development is evaluated.

Description

Technical Field

[0001] The present invention relates to the technical field of land space optimization and adjustment, and in particular to an evaluation method for the coupling coordination degree of regional three-life space. Background Art

[0002] With the development of society, the social and economic level has also made significant progress, but the accelerated process of industrialization and urbanization has intensified the competition and conflict between humans and nature, triggering a series of global problems including climate change, energy crisis and food security. In order to achieve sustainable and coordinated development, it is urgent to establish a scientific and reasonable method for optimizing and adjusting the land space so that it can be organically combined with ecological space, production space and living space. Among them, production space, living space and ecological space are referred to as the three living spaces.

[0003] In the process of urban development and construction, it is usually necessary to conduct a functional evaluation of the coupling coordination degree of the three living spaces in the area where the city is located to obtain the corresponding evaluation results. This allows suggestions to be provided for urban development through the evaluation results to promote rapid urban development. In related technologies, functional evaluation is usually only conducted based on the current needs of land use, national land space planning and other fields. The evaluation results cannot reflect the production, life, and ecological space functions in the region and their interaction and coordinated development with the intensity of human activities.

[0004] Therefore, the present invention proposes an evaluation method for the coupling coordination degree of regional three-life space to solve the problems existing in the prior art. Summary of the invention

[0005] The embodiment of the present invention provides an evaluation method for the coupling coordination degree of regional three-life spaces, which can quickly and accurately obtain evaluation results reflecting the coupling coordination degree of the three-life spaces. Through the evaluation results, the coupling relationship between the ecological, production, and living spaces in the study area can be efficiently and accurately displayed, and the coordination of the development of the regional three-life spaces can be evaluated.

[0006] To achieve the above object, the embodiments of the present invention adopt the following technical solutions:

[0007] In a first aspect, a method for evaluating the coupling coordination degree of regional three-life space is provided, and the method comprises: obtaining index data of a target area, the index data comprising multiple indicators included in each of multiple evaluation objects of the target area, wherein each of the multiple indicators comprises multiple indicator values; the evaluation objects comprise production functions, life functions and ecological functions; standardizing the multiple indicator values ​​included in each indicator to obtain a standard value corresponding to each indicator value; determining a weight corresponding to each indicator according to the standard value corresponding to each indicator value; determining an evaluation score for each evaluation object according to the standard value and weight corresponding to each indicator value in each of the multiple indicators included in each evaluation object; determining an evaluation result of the target area according to the evaluation score of each evaluation object, the evaluation result comprising a coupling stage and coupling type of the three-life space, the coupling stage comprising low-level coupling, antagonism, running-in or high-level coupling, and the coupling type being used to characterize the coordination degree of the three-life space of the target area.

[0008] In a possible implementation of the first aspect, the production function includes multiple indicators such as annual grain output, total agricultural machinery power, total social fixed asset investment, gross domestic product, per capita gross domestic product, number of livestock, proportion of gross domestic product of the primary industry in GDP, proportion of gross domestic product of the secondary industry in GDP, proportion of gross domestic product of the tertiary industry in GDP, sown area of ​​crops, cultivated land area, effective irrigation area of ​​farmland and annual cotton output; the living function includes multiple indicators such as the number of hospital beds per 10,000 people, health technicians per 10,000 people, total retail sales of consumer goods, total population, average wage of employed workers, total social fixed asset investment, residents' fixed asset investment, local fiscal revenue, medical fiscal expenditure, education fiscal expenditure, total rural economic income, total output value of agriculture, forestry, animal husbandry and fishery and number of employees in the whole society; the ecological function includes multiple indicators such as water production, carbon storage, soil conservation, habitat quality and rural fertilizer application.

[0009] In a possible implementation manner of the first aspect, the indicator data further includes a type of each indicator, where the type includes a positive indicator or a negative indicator; and the multiple indicator values ​​included in each indicator are standardized to obtain a standard value corresponding to each indicator value, including: standardizing the multiple indicator values ​​included in each indicator based on the first formula to obtain a standard value corresponding to each indicator value;

[0010] When the indicator type is a positive indicator, the first formula is:

[0011]

[0012] When the indicator type is a negative indicator, the first formula is:

[0013]

[0014] Among them, x ij is the i-th indicator value included in the j-th indicator, X ij is the standard value corresponding to the i-th indicator value included in the j-th indicator, X ijmin is the minimum value among the multiple index values ​​included in the jth index, X ijmax is the maximum value of multiple indicator values ​​included in the j-th indicator, and n is the number of indicator values ​​included in the ith indicator.

[0015] In a possible implementation manner of the first aspect, determining a weight corresponding to each indicator according to a standard value corresponding to each indicator includes:

[0016] Determine a first weight and a second weight corresponding to each indicator according to a standard value corresponding to each indicator value;

[0017] The formula for determining the first weight is:

[0018]

[0019] g j =1-e j ;

[0020]

[0021] W j1 is the first weight corresponding to the jth indicator; g j is the entropy redundancy corresponding to the jth index; e j is the information entropy corresponding to the jth indicator; P ij is the weight corresponding to the jth indicator;

[0022] The formula for determining the second weight is:

[0023]

[0024] W j2 is the second weight corresponding to the jth index; Γ i is the correlation between the index value and the standard value included in each index; ρ is the resolution coefficient, and 0<ρ<1; Δ i (k) is the absolute value of the difference between the i-th index value included in the j-th index and the standard value corresponding to the i-th index value; Δ min The minimum value among the absolute values ​​of the differences between each indicator value included in the j-th indicator and the standard value corresponding to the i-th indicator value;

[0025] Determine the weight corresponding to each indicator according to the first weight and the second weight corresponding to each indicator;

[0026] The formula for determining the weight corresponding to the jth indicator is:

[0027] W j =l1W j1 +l2W j2 ;

[0028] Among them, W j is the weight corresponding to the jth indicator, l1 and l2 are preset weight coefficients, and the sum of l1 and l2 is equal to 1.

[0029] In a possible implementation of the first aspect, a formula for determining an evaluation score of each evaluation object is:

[0030]

[0031] Wherein, m is the number of index values ​​included in each evaluation object.

[0032] In a possible implementation of the first aspect, determining an evaluation result of the target area according to the evaluation score of each evaluation object includes: determining a coupling coordination degree of the target area according to the evaluation score of each evaluation object; and determining the evaluation result of the target area according to the coupling coordination degree of the target area.

[0033] In a possible implementation manner of the first aspect, a formula for determining the coupling coordination degree of the target area is:

[0034]

[0035] T = αA1 + βA2 + γA3;

[0036] Among them, D is the coupling coordination degree of the target area; C is the coupling degree of the target area; A1 is the evaluation score of the production function; A2 is the evaluation score of the living function; A3 is the evaluation score of the ecological function; T is the comprehensive coordination index of the target area; α, β and γ are preset coefficients.

[0037] In a possible implementation manner of the first aspect, determining an evaluation result of the target area according to the coupling coordination degree of the target area includes: determining a coupling stage of the target area according to the coupling coordination degree of the target area; determining a coupling type of the target area according to the coupling coordination degree of the target area; and determining the evaluation result of the target area according to the coupling stage and coupling type of the target area.

[0038] In a possible implementation manner of the first aspect, the coupling stage of the target area is determined according to the coupling coordination degree of the target area, including: when the coupling coordination degree D of the target area is greater than or equal to 0 and less than 0.3, the coupling stage of the target area is determined to be low-level coupling; when the coupling coordination degree D of the target area is greater than or equal to 0.3 and less than 0.5, the coupling stage of the target area is determined to be antagonistic; when the coupling coordination degree D of the target area is greater than or equal to 0.5 and less than 0.8, the coupling stage of the target area is determined to be running-in; when the coupling coordination degree D of the target area is greater than or equal to 0.8 and less than 1, the coupling stage of the target area is determined to be high-level coupling.

[0039] In a possible implementation of the first aspect, determining the coupling type of the target area according to the coupling coordination degree of the target area includes: when the coupling coordination degree D of the target area is greater than or equal to 0 and less than 0.3, determining that the coupling type of the target area is severe disorder and recession; when the coupling coordination degree D of the target area is greater than or equal to 0.3 and less than 0.4, determining that the coupling type of the target area is mild disorder and recession; when the coupling coordination degree D of the target area is greater than or equal to 0.4 and less than 0.5, determining that the coupling type of the target area is on the verge of disorder and recession; when the coupling coordination degree D of the target area is greater than or equal to 0.5 and less than 0.6, determining that the coupling type of the target area is barely coordinated development; when the coupling coordination degree D of the target area is greater than or equal to 0.6 and less than 0.7, determining that the coupling type of the target area is moderately coordinated development; when the coupling coordination degree D of the target area is greater than or equal to 0.7 and less than 0.8, determining that the coupling type of the target area is well coordinated development; when the coupling coordination degree D of the target area is greater than or equal to 0.8 and less than 1, determining that the coupling type of the target area is high-quality coordinated development.

[0040] The beneficial effects of the present invention are as follows: the method provided by the present invention obtains the index data of the target area, the index data includes multiple indicators included in each of the multiple evaluation objects of the target area, and standardizes the multiple indicator values ​​included in each indicator to obtain the corresponding standard value; determines the weight of each indicator; determines the evaluation score of each evaluation object according to the standard value and weight of each indicator in the multiple indicators included in each evaluation object; determines the evaluation result of the target area according to the evaluation score, and the evaluation result includes the coupling stage and coupling type of the three life spaces, and the coupling type is used to characterize the coordination degree of the three life spaces of the target area. The evaluation results can efficiently and accurately display the coupling relationship between the ecological, production, and living spaces in the study area, and evaluate the coordination of the development of the three life spaces in the region. The method provided by the present invention can efficiently and accurately display the coupling relationship between the ecological, production, and living spaces in the target area, and can evaluate the coordination of the development of the three life spaces in the target area. The method provided by the present invention is of great significance in evaluating and optimizing the regional spatial structure.

[0041] In the second aspect, an embodiment of the present invention provides an evaluation method for the coupling coordination degree of a regional three-life space, and the above-mentioned device includes: a data acquisition unit, used to acquire index data of a target area, the index data including multiple indicators included in each of multiple evaluation objects of the target area, wherein each of the multiple indicators includes multiple indicator values; the evaluation objects include production functions, life functions and ecological functions; a data processing unit, used to standardize the multiple indicator values ​​included in each indicator to obtain a standard value corresponding to each indicator value; a weight determination unit, used to determine the weight corresponding to each indicator according to the standard value corresponding to each indicator value; a score determination unit, used to determine the evaluation score of each evaluation object according to the standard value and weight corresponding to each indicator value in each of the multiple indicators included in each evaluation object; a result determination unit, used to determine the evaluation result of the target area according to the evaluation score of each evaluation object, the evaluation result including the coupling stage and coupling type of the three-life space, the coupling stage including low-level coupling, antagonism, running-in or high-level coupling, and the coupling type is used to characterize the coordination degree of the three-life space of the target area.

[0042] In a third aspect, an electronic device is provided, comprising a memory and one or more processors; the memory is coupled to the processor; wherein computer program code is stored in the memory, and the computer program code comprises computer instructions, and when the computer instructions are executed by the processor, the electronic device executes a method for evaluating the coupling coordination degree of a regional three-life space as in any implementation of the first aspect.

[0043] In a fourth aspect, a computer-readable storage medium is provided, comprising computer instructions. When the computer instructions are executed on an electronic device, the electronic device executes a method for evaluating the coupling coordination degree of a regional three-life space as in any implementation of the first aspect.

[0044] In a fifth aspect, a computer program product is provided. When the computer program product runs on a computer, the computer executes a method for evaluating the coupling coordination degree of a regional three-life space as in any implementation of the first aspect.

[0045] It can be understood that the beneficial effects that can be achieved by the evaluation device for the coupling coordination degree of a regional three-life space described in the second aspect, the electronic device described in the third aspect, the computer-readable storage medium described in the fourth aspect, and the computer program product described in the fifth aspect can refer to the beneficial effects in the first aspect and any possible design method thereof, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention;

[0047] Figure 2 A flow chart of a method for evaluating the coupling coordination degree of a regional three-dimensional space shown in an embodiment of the present invention;

[0048] Figure 3 A flowchart of another method for evaluating the coupling coordination degree of a regional three-dimensional space according to an embodiment of the present invention;

[0049] Figure 4 A flowchart of another method for evaluating the coupling coordination degree of a regional three-dimensional space according to an embodiment of the present invention;

[0050] Figure 5 A flowchart of another method for evaluating the coupling coordination degree of a regional three-dimensional space according to an embodiment of the present invention;

[0051] Figure 6 The figure is a schematic diagram of the hardware structure of an evaluation device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The technical solution in the embodiment of the present invention will be described below in conjunction with the accompanying drawings in the embodiment of the present invention. Among them, in the description of the present invention, unless otherwise specified, " / " indicates that the objects associated before and after are in an "or" relationship, for example, A / B can represent A or B; "and / or" in the present invention is only a kind of association relationship describing the associated objects, indicating that there can be three relationships, for example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. And, in the description of the present invention, unless otherwise specified, "multiple" refers to two or more than two. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0053] In addition, in order to clearly describe the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", etc. are used to distinguish the same items or similar items with substantially the same functions and effects. Those skilled in the art can understand that the words "first", "second", etc. do not limit the quantity and execution order, and the words "first", "second", etc. do not necessarily limit the difference.

[0054] Meanwhile, in the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way for easy understanding.

[0055] With the development of society, the social and economic level has also made significant progress, but the accelerated process of industrialization and urbanization has intensified the competition and conflict between humans and nature, triggering a series of global problems including climate change, energy crisis and food security. In order to achieve sustainable and coordinated development, it is urgent to establish a scientific and reasonable method for optimizing and adjusting the land space so that it can be organically combined with ecological space, production space and living space. Among them, production space, living space and ecological space are referred to as the three living spaces.

[0056] In the process of urban development and construction, it is usually necessary to conduct a functional evaluation of the coupling coordination degree of the three living spaces in the area where the city is located to obtain the corresponding evaluation results. This allows suggestions to be provided for urban development through the evaluation results to promote rapid urban development. In related technologies, functional evaluation is usually only conducted based on the current needs of land use, national land space planning and other fields. The evaluation results cannot reflect the production, life, and ecological space functions in the region and their interaction and coordinated development with the intensity of human activities.

[0057] Therefore, the present invention proposes an evaluation method for the coupling coordination degree of regional three-life space to solve the problems existing in the prior art.

[0058] In view of this, an embodiment of the present invention provides an evaluation method for the coupling coordination degree of regional three-life space, the method comprising: obtaining index data of a target area, the index data comprising multiple indicators included in each of multiple evaluation objects of the target area, wherein each of the multiple indicators comprises multiple indicator values; the evaluation objects comprise production functions, life functions and ecological functions; standardizing the multiple indicator values ​​included in each indicator to obtain a standard value corresponding to each indicator value; determining the weight corresponding to each indicator according to the standard value corresponding to each indicator value; determining the evaluation score of each evaluation object according to the standard value and weight corresponding to each indicator value in each of the multiple indicators included in each evaluation object; determining the evaluation result of the target area according to the evaluation score of each evaluation object, the evaluation result comprising the coupling stage and coupling type of the three-life space, the coupling stage comprising low-level coupling, antagonism, running-in or high-level coupling, and the coupling type being used to characterize the coordination degree of the three-life space of the target area.

[0059] The method provided by the embodiment of the present invention obtains the index data of the target area, the index data includes multiple indicators included in each of the multiple evaluation objects of the target area, standardizes the multiple indicator values ​​included in each indicator, and obtains the corresponding standard value; determines the weight of each indicator; determines the evaluation score of each evaluation object according to the standard value and weight of each indicator in the multiple indicators included in each evaluation object; determines the evaluation result of the target area according to the evaluation score, and the evaluation result includes the coupling stage and coupling type of the three life spaces, and the coupling type is used to characterize the coordination degree of the three life spaces of the target area. The evaluation results can efficiently and accurately display the coupling relationship between the ecological, production, and living spaces in the study area, and evaluate the coordination of the development of the three life spaces in the region. The method provided by the present invention can efficiently and accurately display the coupling relationship between the ecological, production, and living spaces in the target area, and can evaluate the coordination of the development of the three life spaces in the target area. The method provided by the present invention is of great significance in evaluating and optimizing the regional spatial structure.

[0060] In some embodiments, the evaluation method of the coupling coordination degree of the regional three-life space provided in the embodiment of the present invention can be performed by an evaluation device 100 for the coupling coordination degree of the regional three-life space (hereinafter referred to as the evaluation device 100). As an example, the evaluation device 100 can be any electronic device 200 with data processing capabilities, such as a general-purpose computer, a personal computer, a laptop, a switch or a tablet computer, etc. The specific implementation method of the evaluation device 100 is not limited here.

[0061] Figure 1 The hardware structure diagram of the electronic device provided by the embodiment of the present invention is shown. The electronic device 200 includes a processor 210 , a memory 220 and a communication interface 230 .

[0062] The processor 210 may include one or more processing cores. The processor 210 uses various interfaces and lines to connect various parts in the electronic device 200, and executes various functions and processes data of the electronic device 200 by running or executing instructions, programs, code sets or instruction sets stored in the memory 220, and calling data stored in the memory 220. Optionally, the processor 210 can be implemented in at least one hardware form of a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA).

[0063] The memory 220 may include a random access memory (RAM) or a read-only memory (ROM). Optionally, the memory 220 includes a non-transitory computer-readable storage medium. The memory 220 may be used to store instructions, programs, codes, code sets, or instruction sets. The memory 220 may include a program storage area. The program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a blind spot determination function, solution determination, etc.), instructions for implementing the above-mentioned various method embodiments, etc.

[0064] The communication interface 230 is used to communicate with other devices, equipment or communication networks, such as data storage devices, image processing equipment or Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0065] In physical implementation, the above-mentioned components (such as processor 210, memory 220 and communication interface 230) can be components in the same device (such as a laptop). Alternatively, at least two of the components can be set in the same device, that is, as different components in one device, similar to the deployment mode of devices or components in a distributed system.

[0066] It is to be understood that the structure illustrated in this embodiment does not constitute a specific limitation on the electronic device 200. In other embodiments of the present invention, the electronic device 200 may include more or fewer components than those illustrated, or combine certain components, or separate certain components, or arrange the components differently. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0067] The following describes the evaluation method of the coupling coordination degree of the regional three-life space provided by the embodiment of the present invention in conjunction with the accompanying drawings.

[0068] Figure 2 A flowchart of a method for evaluating the coupling coordination degree of a regional three-dimensional space provided by an embodiment of the present invention. Optionally, the method may be performed by Figure 1 The method is executed by the electronic device 200 of the hardware structure shown, that is, by the evaluation device 100. The method may include the following steps:

[0069] S1. Obtaining index data of a target area, where the index data includes multiple indexes included in each of multiple evaluation objects in the target area.

[0070] Each of the multiple indicators includes multiple indicator values; the evaluation objects include production function, life function and ecological function;

[0071] In a possible implementation, the production function includes multiple indicators such as annual grain output, total agricultural machinery power, total social fixed asset investment, GDP, per capita GDP, number of livestock, proportion of primary industry GDP in GDP, proportion of secondary industry GDP in GDP, proportion of tertiary industry GDP in GDP, sown area of ​​crops, cultivated land, effective irrigation area of ​​farmland and annual cotton output; the living function includes multiple indicators such as number of hospital beds per 10,000 people, number of health technicians per 10,000 people, total retail sales of consumer goods, total population, average wage of employed workers, total social fixed asset investment, residents' fixed asset investment, local fiscal revenue, medical fiscal expenditure, education fiscal expenditure, total rural economic income, total output value of agriculture, forestry, animal husbandry and fishery and number of employees in society; the ecological function includes multiple indicators such as water production, carbon storage, soil conservation, habitat quality and rural fertilizer application.

[0072] It should be understood that the number and types of indicators included in each evaluation object above are only exemplary. Each evaluation object in the indicator data provided by the embodiment of the present invention may include more or less indicators than the above implementation method, and the embodiment of the present invention does not impose any special restrictions on this.

[0073] S2. Standardize the multiple indicator values ​​included in each indicator to obtain a standard value corresponding to each indicator value.

[0074] In some embodiments, the indicator data further includes the type of each indicator, which includes a positive indicator or a negative indicator; and the multiple indicator values ​​included in each indicator are standardized to obtain a standard value corresponding to each indicator value, including:

[0075] Based on the first formula, a plurality of indicator values ​​included in each indicator are standardized to obtain a standard value corresponding to each indicator value;

[0076] When the indicator type is a positive indicator, the first formula is:

[0077]

[0078] When the indicator type is a negative indicator, the first formula is:

[0079]

[0080] Among them, x ij is the i-th indicator value included in the j-th indicator, X ij is the standard value corresponding to the i-th indicator value included in the j-th indicator, X ijmin is the minimum value among the multiple index values ​​included in the jth index, X ijmax is the maximum value among the multiple index values ​​included in the j-th index.

[0081] In one example, the production function includes annual grain output, total power of agricultural machinery, total social fixed asset investment, gross domestic product, number of livestock, proportion of gross domestic product of the primary industry in GDP, proportion of gross domestic product of the secondary industry in GDP, proportion of gross domestic product of the tertiary industry in GDP, sown area of ​​crops, cultivated land, and effective irrigation area of ​​farmland as positive indicators. The living function includes the number of hospital beds per 10,000 people, health technicians per 10,000 people, total retail sales of social consumer goods, average wage of employed workers, total social fixed asset investment, local fiscal revenue, medical fiscal expenditure, education fiscal expenditure, total rural economic income, total output value of agriculture, forestry, animal husbandry and fishery, and total number of employees in society as positive indicators. The total population included in the living function is a negative indicator. The ecological function includes water production, carbon storage, soil conservation and habitat quality as positive indicators, and the amount of fertilizer applied in rural areas is a negative indicator.

[0082] S3. Determine the weight corresponding to each indicator according to the standard value corresponding to each indicator value.

[0083] In one possible implementation, see Figure 3 , the above S3 specifically includes the following steps:

[0084] S31. Determine a first weight and a second weight corresponding to each indicator according to a standard value corresponding to each indicator value.

[0085] The formula for determining the first weight is:

[0086]

[0087] g j =1-e j ;

[0088]

[0089] W j1 is the first weight corresponding to the jth indicator; g j is the entropy redundancy corresponding to the jth index; e j is the information entropy corresponding to the jth indicator; P ij is the weight corresponding to the jth indicator;

[0090] The formula for determining the second weight is:

[0091]

[0092] Δ i (k)=|x0(k)-x i (k)|;

[0093] W j2is the second weight corresponding to the jth index; Γ i is the correlation between the index value and the standard value included in each index; ρ is the resolution coefficient, and 0<ρ<1; Δ i (k) is the absolute value of the difference between the i-th index value included in the j-th index and the standard value corresponding to the i-th index value; Δ min is the minimum value of the absolute value of the difference between each indicator value included in the j-th indicator and the standard value corresponding to the ith indicator value; n is the number of indicator values ​​included in the ith indicator.

[0094] In one example, the resolution coefficient p is 0.5.

[0095] S32. Determine the weight corresponding to each indicator according to the first weight and the second weight corresponding to each indicator.

[0096] Specifically, the formula for determining the weight corresponding to the jth indicator is:

[0097] W j =l1W j1 +l2W j2 ;

[0098] Among them, W j is the weight corresponding to the jth indicator, l1 and l2 are preset weight coefficients, and the sum of l1 and l2 is equal to 1.

[0099] S4. Determine the evaluation score of each evaluation object according to the standard value and weight corresponding to each indicator value of each indicator in the multiple indicators included in each evaluation object.

[0100] In some embodiments, the formula for determining the evaluation score of each evaluation object is:

[0101]

[0102] Among them, m is the number of index values ​​included in each evaluation object.

[0103] S5. Determine the evaluation result of the target area according to the evaluation score of each evaluation object, and the evaluation result includes the coupling stage and coupling type of the three-life space.

[0104] Specifically, the coupling stages include low-level coupling, antagonism, running-in, or high-level coupling, and the coupling type is used to characterize the degree of coordination of the three-life space in the target area.

[0105] In one possible implementation, see Figure 4 The above S5 specifically includes the following steps:

[0106] S51. Determine the coupling coordination degree of the target area according to the evaluation score of each evaluation object.

[0107] Specifically, the formula for determining the coupling coordination degree of the target area is:

[0108]

[0109] T = αA1 + βA2 + γA3;

[0110] Among them, D is the coupling coordination degree of the target area; C is the coupling degree of the target area; A1 is the evaluation score of the production function; A2 is the evaluation score of the living function; A3 is the evaluation score of the ecological function; T is the comprehensive coordination index of the target area; α, β and γ are preset coefficients.

[0111] S52. Determine an evaluation result of the target area according to the coupling coordination degree of the target area.

[0112] For details, see Figure 5 The above S52 specifically includes the following steps:

[0113] S521. Determine a coupling stage of the target area according to the coupling coordination degree of the target area.

[0114] In a possible implementation, the above S521 specifically includes: when the coupling coordination degree D of the target area is greater than or equal to 0 and less than 0.3, determining that the coupling stage of the target area is low-level coupling; when the coupling coordination degree D of the target area is greater than or equal to 0.3 and less than 0.5, determining that the coupling stage of the target area is antagonism; when the coupling coordination degree D of the target area is greater than or equal to 0.5 and less than 0.8, determining that the coupling stage of the target area is running-in; when the coupling coordination degree D of the target area is greater than or equal to 0.8 and less than 1, determining that the coupling stage of the target area is high-level coupling.

[0115] S522: Determine the coupling type of the target area according to the coupling coordination degree of the target area.

[0116] In a possible implementation, the above S522 specifically includes: when the coupling coordination degree D of the target area is greater than or equal to 0 and less than 0.3, determining that the coupling type of the target area is severe imbalance and recession; when the coupling coordination degree D of the target area is greater than or equal to 0.3 and less than 0.4, determining that the coupling type of the target area is mild imbalance and recession; when the coupling coordination degree D of the target area is greater than or equal to 0.4 and less than 0.5, determining that the coupling type of the target area is on the verge of imbalance and recession; when the coupling coordination degree D of the target area is greater than or equal to 0.5 and less than 0.6, determining that the coupling type of the target area is barely coordinated development; when the coupling coordination degree D of the target area is greater than or equal to 0.6 and less than 0.7, determining that the coupling type of the target area is moderately coordinated development; when the coupling coordination degree D of the target area is greater than or equal to 0.7 and less than 0.8, determining that the coupling type of the target area is well coordinated development; when the coupling coordination degree D of the target area is greater than or equal to 0.8 and less than 1, determining that the coupling type of the target area is high-quality coordinated development.

[0117] S523. Determine an evaluation result of the target area according to the coupling stage and coupling type of the target area.

[0118] As can be seen from the above S1-S5, the method provided by the embodiment of the present invention obtains the index data of the target area, and the index data includes multiple indicators included in each evaluation object of the multiple evaluation objects of the target area, and standardizes the multiple indicator values ​​included in each indicator to obtain the corresponding standard value; determines the weight of each indicator; determines the evaluation score of each evaluation object according to the standard value and weight of each indicator in the multiple indicators included in each evaluation object; determines the evaluation result of the target area according to the evaluation score, and the evaluation result includes the coupling stage and coupling type of the three life spaces, and the coupling type is used to characterize the coordination degree of the three life spaces of the target area. The evaluation results can efficiently and accurately display the coupling relationship between the ecological, production, and living spaces in the study area, and evaluate the coordination of the development of the three life spaces in the region. The method provided by the present invention can efficiently and accurately display the coupling relationship between the ecological, production, and living spaces in the target area, and can evaluate the coordination of the development of the three life spaces in the target area. The method provided by the present invention is of great significance in evaluating and optimizing the regional spatial structure.

[0119] The above mainly introduces the scheme of the embodiment of the present invention from the perspective of the method. It can be understood that in order to realize the above functions, the evaluation device 100 includes at least one of the hardware structure and software modules corresponding to each function. It should be easy for those skilled in the art to realize that, in combination with the units and algorithm steps of each example described in the embodiment disclosed in this article, the embodiment of the present invention can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the embodiment of the present invention.

[0120] The embodiment of the present invention can divide the evaluation device 100 into functional units according to the above method example. For example, the evaluation device 100 can be divided into functional units corresponding to various functions, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiment of the present invention is schematic and is only a logical functional division. There may be other division methods in actual implementation.

[0121] For example, Figure 6 The hardware structure diagram of an evaluation device 100 provided by an embodiment of the present invention is shown. The evaluation device 100 includes: a data acquisition unit 610, which is used to acquire the index data of the target area, the index data includes multiple indicators included in each of the multiple evaluation objects of the target area, wherein each of the multiple indicators includes multiple indicator values; the evaluation objects include production functions, life functions and ecological functions; a data processing unit 620, which is used to standardize the multiple indicator values ​​included in each indicator to obtain the standard value corresponding to each indicator value; a weight determination unit 630, which is used to determine the weight corresponding to each indicator according to the standard value corresponding to each indicator value; a score determination unit 640, which is used to determine the evaluation score of each evaluation object according to the standard value and weight corresponding to each indicator value in each of the multiple indicators included in each evaluation object; a result determination unit 650, which is used to determine the evaluation result of the target area according to the evaluation score of each evaluation object, and the evaluation result includes the coupling stage and coupling type of the three-life space, the coupling stage includes low-level coupling, antagonism, running-in or high-level coupling, and the coupling type is used to characterize the coordination degree of the three-life space of the target area.

[0122] Those skilled in the art will appreciate that all or part of the steps of the above embodiments can be implemented by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium. The above-mentioned storage medium can be a read-only memory, a random access memory, etc. The above-mentioned processing unit or processor can be a central processing unit, a general-purpose processor, a specific circuit structure (application specific integrated circuit, ASIC), a microprocessor (digital signal processor, DSP), a field programmable gate array (field programmable gate array, FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof.

[0123] The embodiment of the present invention also provides a computer program product including instructions, when the instructions are run on a computer, the computer executes any one of the methods in the above embodiments. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present invention is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., an SSD), etc.

[0124] It should be noted that the above-mentioned devices for storing computer instructions or computer programs provided in the embodiments of the present invention, such as but not limited to the above-mentioned memory, computer-readable storage medium and communication chip, etc., all have non-transitory. Those skilled in the art should be aware that in one or more of the above-mentioned examples, the functions described in the embodiments of the present invention can be implemented with hardware, software, firmware or any combination thereof. When implemented using software, these functions can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a general or special-purpose computer can access.

[0125] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for evaluating the coupling coordination degree of regional three-life space, characterized in that: The method comprises: Obtaining indicator data of a target area, wherein the indicator data includes multiple indicators included in each of multiple evaluation objects of the target area, wherein each of the multiple indicators includes multiple indicator values; the evaluation objects include production functions, living functions, and ecological functions; Standardizing the multiple indicator values ​​included in each indicator to obtain a standard value corresponding to each indicator value; Determine the weight corresponding to each indicator according to the standard value corresponding to each indicator value; Determine the evaluation score of each evaluation object according to the standard value and weight corresponding to each indicator value of each indicator in the multiple indicators included in each evaluation object; The evaluation result of the target area is determined according to the evaluation score of each evaluation object, and the evaluation result includes the coupling stage and coupling type of the three-life space. The coupling stage includes low-level coupling, antagonism, running-in or high-level coupling, and the coupling type is used to characterize the degree of coordination of the three-life space of the target area.

2. The method according to claim 1, characterized in that: The production function includes multiple indicators such as annual grain output, total agricultural machinery power, total social fixed asset investment, GDP, per capita GDP, number of livestock, proportion of GDP of the primary industry in GDP, proportion of GDP of the secondary industry in GDP, proportion of GDP of the tertiary industry in GDP, sown area of ​​crops, cultivated land, effective irrigation area of ​​farmland and annual cotton output; the living function includes multiple indicators such as number of hospital beds per 10,000 people, number of health technicians per 10,000 people, total retail sales of consumer goods, total population, average wage of employed workers, total social fixed asset investment, residents' fixed asset investment, local fiscal revenue, medical fiscal expenditure, education fiscal expenditure, total rural economic income, total output value of agriculture, forestry, animal husbandry and fishery and number of employees in the whole society; the ecological function includes multiple indicators such as water production, carbon storage, soil conservation, habitat quality and rural fertilizer application.

3. The method according to claim 2, characterized in that The indicator data also includes the type of each indicator, and the type includes a positive indicator or a negative indicator; the standardization of the multiple indicator values ​​included in each indicator to obtain the standard value corresponding to each indicator value includes: Based on the first formula, a plurality of indicator values ​​included in each indicator are standardized to obtain a standard value corresponding to each indicator value; When the indicator type is a positive indicator, the first formula is: When the indicator type is a negative indicator, the first formula is: Among them, x ij is the i-th indicator value included in the j-th indicator, X ij is the standard value corresponding to the i-th indicator value included in the j-th indicator, X ijmin is the minimum value among the multiple index values ​​included in the jth index, X ijmax is the maximum value among the multiple index values ​​included in the j-th index.

4. The method according to claim 3, characterized in that Determining the weight corresponding to each indicator according to the standard value corresponding to each indicator value includes: Determine a first weight and a second weight corresponding to each indicator according to a standard value corresponding to each indicator value; The formula for determining the first weight is: g j =1-e j ; W j1 is the first weight corresponding to the jth indicator; g j is the entropy redundancy corresponding to the jth index; e j is the information entropy corresponding to the jth indicator; P ij is the weight corresponding to the jth indicator; The formula for determining the second weight is: W j2 is the second weight corresponding to the jth index; Γ i is the correlation between the index value and the standard value included in each index; ρ is the resolution coefficient, and 0<ρ<1; Δ i (k) is the absolute value of the difference between the i-th index value included in the j-th index and the standard value corresponding to the i-th index value; Δ min is the minimum value among the absolute values ​​of the difference between each index value included in the jth index and the standard value corresponding to the ith index value; Δ max is the maximum value among the minimum values ​​among the absolute values ​​of the difference between each indicator value included in the j-th indicator and the standard value corresponding to the ith indicator value; n is the number of indicator values ​​included in the ith indicator; Determine the weight corresponding to each indicator according to the first weight and the second weight corresponding to each indicator; The formula for determining the weight corresponding to the jth indicator is: IN j =I1W j1 +l2W j2 ; Among them, W j is the weight corresponding to the jth indicator, l1 and l2 are preset weight coefficients, and the sum of l1 and l2 is equal to 1.

5. The method according to claim 4, characterized in that The formula for determining the evaluation score of each evaluation object is: Wherein, m is the number of index values ​​included in each evaluation object.

6. The method according to claim 5, characterized in that Determining the evaluation result of the target area according to the evaluation score of each evaluation object includes: Determining the coupling coordination degree of the target area according to the evaluation score of each evaluation object; An evaluation result of the target area is determined according to the coupling coordination degree of the target area.

7. The method according to claim 6, characterized in that The formula for determining the coupling coordination degree of the target area is: T = αA1 + βA2 + γA3; Among them, D is the coupling coordination degree of the target area; C is the coupling degree of the target area; A1 is the evaluation score of the production function; A2 is the evaluation score of the living function; A3 is the evaluation score of the ecological function; T is the comprehensive coordination index of the target area; α, β and γ are preset coefficients.

8. The method according to claim 7, characterized in that The step of determining the evaluation result of the target area according to the coupling coordination degree of the target area includes: Determining a coupling stage of the target area according to the coupling coordination degree of the target area; Determining a coupling type of the target area according to the coupling coordination degree of the target area; An evaluation result of the target area is determined according to the coupling stage and the coupling type of the target area.

9. The method according to claim 8, characterized in that The determining the coupling stage of the target area according to the coupling coordination degree of the target area includes: When the coupling coordination degree D of the target area is greater than or equal to 0 and less than 0.3, determining that the coupling stage of the target area is low-level coupling; When the coupling coordination degree D of the target region is greater than or equal to 0.3 and less than 0.5, determining that the coupling stage of the target region is antagonistic; When the coupling coordination degree D of the target area is greater than or equal to 0.5 and less than 0.8, determining that the coupling stage of the target area is running-in; When the coupling coordination degree D of the target area is greater than or equal to 0.8 and less than 1, it is determined that the coupling stage of the target area is a high-level coupling.

10. The method according to claim 9, characterized in that The determining the coupling type of the target area according to the coupling coordination degree of the target area includes: When the coupling coordination degree D of the target area is greater than or equal to 0 and less than 0.3, determining that the coupling type of the target area is severe imbalance decay; When the coupling coordination degree D of the target area is greater than or equal to 0.3 and less than 0.4, determining that the coupling type of the target area is mild imbalance decay; When the coupling coordination degree D of the target area is greater than or equal to 0.4 and less than 0.5, determining that the coupling type of the target area is on the verge of disordered decay; When the coupling coordination degree D of the target area is greater than or equal to 0.5 and less than 0.6, determining that the coupling type of the target area is barely coordinated development; When the coupling coordination degree D of the target area is greater than or equal to 0.6 and less than 0.7, the coupling type of the target area is determined to be moderate coordinated development; When the coupling coordination degree D of the target area is greater than or equal to 0.7 and less than 0.8, determining that the coupling type of the target area is well-coordinated development; When the coupling coordination degree D of the target area is greater than or equal to 0.8 and less than 1, it is determined that the coupling type of the target area is high-quality coordinated development.

Images