Comprehensive evaluation method for green ecological city districts

Abstract

The invention discloses a comprehensive evaluation method for a green ecological city district, and the method comprises the steps: constructing a city district comprehensive evaluation system based on space-industry-environment, and the evaluation system comprises a plurality of first-level indexes and a plurality of second-level indexes corresponding to the first-level indexes; determining weights of all indexes in the urban district comprehensive evaluation system based on the space-industry-environment by using an analytic hierarchy process and an entropy weight method to obtain an index weight set; evaluating the city districts based on a fuzzy comprehensive evaluation method in combination with the index weight set; according to the method, an evaluation tool is provided for building a'human-production-city 'fused green ecological city district, and an evaluation index system is constructed from three dimensions of space, industry and environment, so that a comprehensive evaluation result of the city district is obtained, the deficiency of a city district evaluation method is made up, and urban and rural green low-carbon sustainable development is facilitated.

Description

Technical Field

[0001] The invention relates to a comprehensive evaluation method for a green ecological city area, belonging to the technical field of comprehensive evaluation of urban planning. Background Art

[0002] Urban and rural construction is an important carrier for promoting green development and building a beautiful China. Among them, formulating scientific and implementable construction standards and evaluation methods is the core key to promoting green ecology and sustainable development in urban and rural areas. As a unit carrier between urban areas and communities, urban areas have important connection and guidance functions. They can implement the green ecological standards of urban areas and guide the implementation of green ecological construction in parks and communities. At present, my country has successively promulgated and formulated green and low-carbon construction standards and evaluation methods for green ecological urban areas, parks, communities and other levels. However, due to the complexity, dynamism and implementability of the areas, there has been a lack of systematic evaluation methods. Summary of the invention

[0003] The purpose of the present invention is to overcome the deficiencies in the prior art and provide a comprehensive evaluation method for green ecological urban areas, which can make up for the lack of urban area evaluation methods and is conducive to the green, low-carbon and sustainable development of urban and rural areas.

[0004] To achieve the above object, the present invention is implemented by adopting the following technical solutions: The present invention provides a comprehensive evaluation method for green ecological urban areas, comprising: Constructing a comprehensive evaluation system for urban areas based on space, industry and environment, wherein the evaluation system includes a plurality of primary indicators and a plurality of secondary indicators corresponding to the corresponding primary indicators; Using the analytic hierarchy process and entropy weight method, the weights of all indicators in the comprehensive evaluation system of urban areas based on space, industry and environment are determined to obtain an indicator weight set; The urban area is evaluated based on the fuzzy comprehensive evaluation method and combined with the indicator weight set.

[0005] Optionally, the first-level indicators include three dimensions, namely, spatial dimension, industrial dimension and environmental dimension; the spatial dimension has 4 first-level indicators, namely, energy management, green transportation, smart platform and resource utilization; the industrial dimension has 2 first-level indicators, namely, green production and low-carbon operation; the environmental dimension has 3 first-level indicators, namely, green community, ecological landscape and low-carbon building.

[0006] Optionally, in the spatial dimension, the energy management includes three secondary indicators, namely renewable energy management, energy management platform and energy-saving municipal facilities; the green transportation includes three secondary indicators, namely green travel guidance, slow traffic system and new energy transportation facilities; the smart platform includes three secondary indicators, namely environmental monitoring system, lighting digital system and area management system; the resource utilization includes two secondary indicators, namely water resource utilization and waste resource utilization.

[0007] Optionally, in the industrial dimension, the green production includes two secondary indicators, namely industrial structure and industrial layout; the low-carbon operation includes two secondary indicators, namely industrial ecosystem and industrial operation management.

[0008] Optionally, in the environmental dimension, the green community includes three secondary indicators, namely, community public participation, low-carbon community governance and community place memory; the ecological landscape includes two secondary indicators, namely, area landscape greening and sponge city construction; the low-carbon building includes three secondary indicators, namely, green energy-saving building, star-rated green building certification and green building materials.

[0009] Optionally, the use of the analytic hierarchy process and the entropy weight method to determine the weights of all indicators in the comprehensive evaluation system of urban areas based on space-industry-environment includes: Based on the analytic hierarchy process, the optimal comprehensive green ecological performance of urban areas is taken as the target layer, all the first-level indicators constitute the criterion layer, and all the second-level indicators constitute the sub-criterion layer; Compare the importance of each first-level indicator to the target layer in pairs, and obtain the first-level indicator pairwise comparison results; Based on the pairwise comparison results of the first-level indicators, a target layer judgment matrix is ​​constructed; Compare the importance of each secondary indicator to the corresponding primary indicator in the quasi-measurement layer, and obtain the pairwise comparison results of the corresponding secondary indicators; Based on the pairwise comparison results of the corresponding secondary indicators, the corresponding judgment matrix of the primary indicators is constructed; Performing consistency check on the target layer judgment matrix and the judgment matrix corresponding to the first-level index; The judgment matrix that has passed the consistency test is standardized to obtain a standardized target layer judgment matrix and a standardized first-level indicator corresponding judgment matrix; Using the entropy weight method, based on the standardized target layer judgment matrix and the standardized first-level indicator corresponding judgment matrix, the weight coefficients of each first-level indicator and the weight coefficients of the corresponding second-level indicators under each first-level indicator are obtained to form an indicator weight set.

[0010] Optionally, the consistency check process includes: Calculate the weight vector of the judgment matrix; Obtain the maximum eigenvalue of the judgment matrix based on the weight vector; The consistency index value of the judgment matrix is ​​calculated based on the maximum characteristic root; Determine whether the judgment matrix is ​​consistent according to the consistency index value. If not, adjust the judgment matrix and repeat the above consistency test steps until the judgment matrix is ​​consistent. The determination of whether the matrix is ​​consistent is based on the following judgment formula: ; Among them, CR is the judgment parameter; CI represents the consistency index value; RI is the random consistency index.

[0011] Optionally, the step of obtaining the weight coefficient of each primary indicator includes: Based on the weight vector of the target layer judgment matrix, the initial weight coefficient of each first-level indicator is obtained; Based on the standardized target layer judgment matrix, the entropy of each first-level indicator is calculated; According to the entropy of each first-level indicator, calculate the deviation degree corresponding to each first-level indicator; Using the degree of deviation, a correction coefficient corresponding to each primary indicator is obtained; Based on the correction coefficient corresponding to each first-level indicator and the initial weight coefficient of each first-level indicator, the weight coefficient of each first-level indicator is obtained; Optionally, the step of obtaining the weight coefficient of the secondary indicator corresponding to each primary indicator includes: Based on the weight vector of the judgment matrix corresponding to each first-level indicator, the initial weight coefficient of the second-level indicator under each first-level indicator is obtained; Based on the judgment matrix corresponding to each first-level indicator, the entropy of the second-level indicator under each first-level indicator is calculated; According to the entropy of the secondary indicators under each primary indicator, calculate the deviation degree corresponding to each secondary indicator; Using the degree of deviation, a correction coefficient corresponding to each secondary indicator is obtained; Based on the correction coefficient corresponding to each secondary indicator and the initial weight coefficient of the secondary indicator under each primary indicator, the weight coefficient of the secondary indicator corresponding to each primary indicator is obtained.

[0012] Optionally, the evaluating the urban area based on the fuzzy comprehensive evaluation method and in combination with the indicator weight set includes: Determine the evaluation set; Based on the evaluation set, each secondary indicator in the sub-criteria layer is evaluated, the evaluation results of each secondary indicator in the sub-criteria layer are obtained, and the fuzzy evaluation matrix of each primary indicator in the criterion layer is constructed; Based on the weight coefficient of the corresponding secondary indicator under each primary indicator and the corresponding fuzzy evaluation matrix of each primary indicator, each primary indicator in the criterion layer is evaluated to obtain the evaluation results of each primary indicator and construct the fuzzy evaluation matrix of the urban area; The comprehensive evaluation results are obtained based on the weight coefficients of each primary indicator and the fuzzy evaluation matrix of the urban area.

[0013] Compared with the prior art, the present invention has the following beneficial effects: A comprehensive evaluation method for green ecological urban areas proposed in the present invention provides an evaluation tool for creating green ecological urban areas integrating "people-industry-city", constructs an evaluation index system from the three dimensions of space-industry-environment, and thus obtains comprehensive evaluation results of urban areas, which makes up for the lack of evaluation methods for urban areas and is conducive to the green, low-carbon and sustainable development of urban and rural areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative labor, among which: Figure 1 The flowchart of the comprehensive evaluation method of the green ecological city area in the embodiment of the present invention is shown; Figure 2 A schematic diagram of a comprehensive urban area assessment system based on space-industry-environment in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present disclosure to clearly and completely describe the technical solutions in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present disclosure and its application or use. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0016] Technologies, methods, and apparatus known to ordinary technicians in the relevant field may not be discussed in detail, but where appropriate, such technologies, methods, and apparatus should be considered part of the authorization specification.

[0017] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0018] The application principle of the present invention is described in detail below in conjunction with the accompanying drawings. Example 1

[0019] like Figure 1 As shown, the embodiment of the present invention provides a comprehensive evaluation method for green ecological urban areas, including the following steps: S01: Construct a comprehensive evaluation system for urban areas based on space, industry and environment, wherein the evaluation system includes multiple first-level indicators and multiple second-level indicators corresponding to the corresponding first-level indicators; S02: using the analytic hierarchy process and the entropy weight method, determining the weights of all indicators in the comprehensive evaluation system of urban areas based on space, industry and environment, and obtaining an indicator weight set; S03: Evaluate the urban area based on the fuzzy comprehensive evaluation method and in combination with the indicator weight set; The present invention proposes a comprehensive evaluation method for green ecological urban areas, constructs an evaluation index system from the three dimensions of space, industry and environment, and obtains the comprehensive evaluation results of urban areas based on the analytic hierarchy process, entropy weight method and fuzzy evaluation method, which makes up for the lack of evaluation methods for urban areas and is conducive to the green, low-carbon and sustainable development of urban and rural areas.

[0020] like Figure 2 As shown, in this embodiment, step S02 constructs a comprehensive evaluation system for urban areas based on space-industry-environment, which specifically includes: From the spatial dimension, four first-level indicators are set, including energy management, green transportation, smart platform, and resource utilization; energy management includes three second-level indicators, namely renewable energy management, energy management platform, and energy-saving municipal facilities; green transportation includes three second-level indicators, namely green travel guidance, slow traffic system, and new energy transportation facilities; the smart platform includes three second-level indicators, namely environmental monitoring system, lighting digital system, and district management system; resource utilization includes two second-level indicators, namely water resource utilization and waste resource utilization; From the industrial dimension, two first-level indicators are set: green production and low-carbon operation; green production includes two second-level indicators, namely industrial structure and industrial layout; low-carbon operation includes two second-level indicators, namely industrial ecosystem and industrial operation management; From the environmental dimension, three first-level indicators are set: green community, ecological landscape and low-carbon buildings; the green community includes three second-level indicators, namely community public participation, low-carbon community governance, and community place memory; the ecological landscape includes two second-level indicators, namely area landscape greening, and sponge city construction; the low-carbon building includes three second-level indicators, namely green energy-saving buildings, star-rated green building certification, and green building materials.

[0021] In this embodiment, in step S02, the weights of all indicators in the comprehensive evaluation system of urban areas based on space, industry and environment are determined by using the analytic hierarchy process and the entropy weight method, including: S021: Based on the analytic hierarchy process, the optimal comprehensive green ecological performance of the urban area is taken as the target layer, all the first-level indicators constitute the criterion layer, and all the second-level indicators constitute the sub-criterion layer; S022: Compare the importance of each first-level indicator to the target layer in pairs, and obtain the first-level indicator pairwise comparison results; S023: Based on the comparison results of the first-level indicators, a target layer judgment matrix is ​​constructed, which is expressed as follows:

[0022] Where A represents the target layer judgment matrix; n is the order of the target layer judgment matrix; is the pairwise comparison result of the importance of the i-th first-level indicator and the j-th first-level indicator to the target layer; ; S024: Compare the importance of each secondary indicator to the corresponding primary indicator in the quasi-measurement layer in pairs, and obtain the pairwise comparison results of the corresponding secondary indicators; S025: Based on the comparison results of the corresponding secondary indicators, the corresponding judgment matrix of the primary indicators is constructed, which is expressed as follows:

[0023] in, V J It represents the judgment matrix corresponding to the J-th first-level indicator; nJ is the order of the judgment matrix corresponding to the J-th first-level indicator; is the pairwise comparison result of the importance of the i-th secondary indicator and the j-th secondary indicator to the J-th primary indicator in the J-th primary indicator; ; S026: Perform consistency check on the target layer judgment matrix and the first-level index corresponding judgment matrix, and the check steps are as follows: S0261: Calculate the weight vector of the judgment matrix; Specifically, the step of calculating the weight vector includes: Calculate the product of each row of the judgment matrix; Based on the obtained product, the nth root of the product is calculated to obtain the initial vector; Normalize the initial vector to obtain the weight vector; For example, the weight vector of the target layer judgment matrix is ​​calculated and brought into the above steps, which can be expressed by the formula:

[0024]

[0025]

[0026] in, P i is the product of the elements in the i-th row of the target layer judgment matrix; W i is the weight vector of the target layer judgment matrix; S0262: Obtain the maximum eigenvalue of the judgment matrix based on the weight vector; Specifically, the formula for calculating the maximum eigenvalue of the target layer judgment matrix is ​​expressed as:

[0027] S0263: Calculate the consistency index value of the judgment matrix based on the maximum characteristic root; Specifically, the consistency index value formula of the target layer judgment matrix is ​​expressed as follows:

[0028] S0264: Determine whether the judgment matrix is ​​consistent according to the consistency index value. If not, it is necessary to adjust the judgment matrix and repeat the above consistency test step until the judgment matrix is ​​consistent. The determination of whether the judgment matrix is ​​consistent is based on the following judgment formula: ; Among them, CR is the judgment parameter; CI represents the consistency index value; RI is the random consistency index.

[0029] S0265: Standardize the judgment matrix that has passed the consistency test to obtain a standardized target layer judgment matrix and a standardized first-level indicator corresponding judgment matrix; wherein the standardized target layer judgment matrix is ​​as follows:

[0030] Among them, R represents the standardized target layer judgment matrix; n is the standardized target layer judgment matrix; is the pairwise comparison result of the importance of the i-th first-level indicator and the j-th first-level indicator to the target layer after standardization; ; S0266: Using the entropy weight method, based on the standardized target layer judgment matrix and the standardized first-level indicator corresponding judgment matrix, the weight coefficients of each first-level indicator and the weight coefficients of the corresponding second-level indicators under each first-level indicator are obtained to form an indicator weight set.

[0031] Specifically, the step of obtaining the weight coefficient of each primary indicator in step S0266 includes: Based on the weight vector of the target layer judgment matrix, the initial weight coefficient of each first-level indicator is obtained; Based on the standardized target layer judgment matrix, the entropy of each first-level indicator is calculated and obtained by the following formula:

[0032] in, E j represents the entropy of the jth first-level indicator; According to the entropy of each first-level indicator, the deviation degree corresponding to each first-level indicator is calculated by the following formula:

[0033] in, d j Indicates the deviation degree of the jth first-level indicator; Using the deviation degree, the correction coefficient corresponding to each primary indicator is obtained and calculated by the following formula:

[0034] in, represents the correction coefficient of the jth primary indicator; Based on the correction coefficient corresponding to each first-level indicator and the initial weight coefficient of each first-level indicator, the weight coefficient of each first-level indicator is obtained and calculated by the following formula:

[0035] in, Represents the weight coefficient of the jth first-level indicator; Specifically, the step of obtaining the weight coefficient of the corresponding secondary indicator under each primary indicator in step S0266 includes: Based on the weight vector of the judgment matrix corresponding to each first-level indicator, the initial weight coefficient of the second-level indicator under each first-level indicator is obtained; Based on the judgment matrix corresponding to each first-level indicator, the entropy of the second-level indicator under each first-level indicator is calculated; According to the entropy of the secondary indicators under each primary indicator, calculate the deviation degree corresponding to each secondary indicator; Using the degree of deviation, the correction coefficient corresponding to each secondary index is obtained; Based on the correction coefficient corresponding to each secondary indicator and the initial weight coefficient of the secondary indicator under each primary indicator, the weight coefficient of the secondary indicator corresponding to each primary indicator is obtained.

[0036] Specifically, since the steps for obtaining the weight coefficients of the secondary indicators are similar to those of the primary indicators, the formula will not be described in detail here.

[0037] In this embodiment, the step S03 evaluates the urban area based on the fuzzy comprehensive evaluation method and in combination with the index weight set, specifically including: Determine an evaluation set; in this embodiment, it is set to excellent, good, medium, poor, and very poor; Based on the evaluation set, each secondary indicator in the sub-criteria layer is evaluated, the evaluation results of each secondary indicator in the sub-criteria layer are obtained, and the fuzzy evaluation matrix of each primary indicator in the criterion layer is constructed; Based on the weight coefficient of the corresponding secondary indicator under each primary indicator and the corresponding fuzzy evaluation matrix of each primary indicator, each primary indicator in the criterion layer is evaluated to obtain the evaluation results of each primary indicator and construct the fuzzy evaluation matrix of the urban area, as shown below:

[0038] Among them, ω=ω1,ω2,...,ω n Represents the initial weight coefficient set of the secondary indicators under each primary indicator; F = F1, F2, ..., F n A fuzzy evaluation matrix representing each primary indicator, wherein the fuzzy evaluation matrix of each primary indicator is obtained based on an evaluation set; The comprehensive evaluation results are obtained based on the weight coefficients of each primary indicator and the fuzzy evaluation matrix of the urban area. Example 2

[0039] Take the Wuxi Xiyan Lake Ecological Science and Technology City area as an example. It is located in the Huishan High-tech Industrial Development Zone of Wuxi City, with a planned area of ​​1.41 square kilometers. Located in the China Grand Canal Cultural Belt and the Taihu Bay Science and Technology Innovation Belt, it integrates the concepts of cultural activation, low-carbon leadership, industrial upgrading, and scientific and technological innovation. It covers a variety of business formats such as science and education office, production and research and development, life services, and cultural leisure. It will create a scientific research carrier above the provincial level and a green ecological area demonstration area.

[0040] 1. Resource evaluation Xiyanhu Ecological and Technological City area is a newly built area, and the planning focuses on resource evaluation of the area's renewable resources and land resources.

[0041] (1) Renewable resources Solar energy resources: The basic characteristics of the area's sunshine distribution are more in the north and less in the south, with annual radiation ranging from 4650 to 4750 MJ / m², 1924.3 hours of sunshine, and a sunshine percentage of 43%. It has the conditions for moderate development of distributed photovoltaic power generation systems.

[0042] Water resources: The area is close to the Beijing-Hangzhou Grand Canal, and the Xili Canal flows directly, so the water resources are relatively abundant. The historical minimum water volume of the canal is 1.27m³ / s, which can meet the operation of local-scale water source heat pump systems.

[0043] Geothermal resources: The temperature of shallow geothermal energy in the area is slightly higher than the local annual average temperature by 1~2℃, generally 17.2~18.1℃, and the soil temperature is relatively stable with small fluctuations. A soil source heat pump system can be used to achieve cross-seasonal energy storage design.

[0044] Air energy resources: The relative humidity in the area is high in winter, and there is a lot of latent heat in the air. The outdoor calculated air dry bulb temperature in winter is between 2℃ and -8℃. Energy towers and air source heat pumps can be used as supplementary energy supply solutions.

[0045] (3) Industrial resources The area integrates full-process and full-cycle industrial-city integration functions such as scientific and technological research and development, digital applications, exhibition and training, leisure and recreation, and quality life. It will be built into a showcase of Jiangnan Canal's industrial and commercial culture, a power source for Huishan's high-tech scientific and technological innovation engine, a future energy central-local cooperation demonstration zone, and a gathering place for Xixi's specialized and new headquarters.

[0046] (4) Human resources The area contains three major cultural heritages and has a strong humanistic atmosphere.

[0047] Jiangnan Canal Culture - a river connects the past and present, and the cultural heritage nourishes both sides.

[0048] Wu culture - Wu style and Han style, recognition and inheritance.

[0049] Industrial and commercial culture——a thousand-year-old town that benefits the world.

[0050] 2. Data Collection Data collection is carried out on the three aspects of space, industry and environment within the area.

[0051] In terms of space, the focus is on collecting data on energy management, green transportation, smart platforms, and resource utilization; In terms of industry, the focus is on collecting data on green production and low-carbon operations; In terms of environment, the focus is on collecting information on green communities, ecological landscapes, low-carbon buildings, etc.

[0052] (III) Area evaluation According to a comprehensive evaluation method for green ecological city areas provided by the present invention, a green ecological city area evaluation is performed on the Xiyan Lake Ecological Science and Technology City area; The indicator system of Xiyan Lake Ecological Science and Technology City is as follows:

[0053] Based on the specific steps of a comprehensive evaluation method for a green ecological city area in Example 1, the evaluation index and weight coefficient of the Xiyan Lake Ecological City area are obtained, as described in the following table:

[0054] Experts were invited to conduct an evaluation based on the evaluation index system at five levels: "excellent", "good", "medium", "poor" and "extremely poor". The evaluation results of the Xiyan Lake Ecological Science and Technology City area are as follows:

[0055] Based on the above table, we can get F1, F2, ..., F 12 , fuzzy evaluation matrix of 12 first-level indicators; For example:

[0056] Based on the initial weight coefficients of the secondary indicators under the first primary indicator, the evaluation result of the first primary indicator (energy management) can be obtained as B1=[0.1124, 0.0223, 0.0354]; The evaluation results of energy efficiency indicators in the quasi-layer can be calculated; u1= B 1* F1=[0.08151, 0.0488, 0.03402, 0.00577, 0] Based on the above calculations, the evaluation results of the other eight primary indicators can be obtained, and thus the fuzzy relationship matrix of the Xiyan Lake Ecological Science and Technology City area is obtained:

[0057] Based on the weight coefficient of each primary indicator , you can get the evaluation results of the Xiyan Lake Ecological Science and Technology City area ; According to the evaluation results of the Xiyan Lake Ecological Science and Technology City area, the analysis shows that the comprehensive evaluation of the Xiyan Lake Ecological Science and Technology City area is excellent, which meets the evaluation standards of green ecological city areas. However, the overall evaluation still shows a "poor" and "extremely poor" evaluation ratio. The main reason is that the area has just entered the investment stage after its completion, and there are deficiencies in low-carbon community governance and green travel guidance. In the future, the focus of the area should be more on improving the living environment and residents' awareness in the area.

[0058] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the enlightenment of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which all fall within the protection of the present invention.

Claims

1. A comprehensive evaluation method for green ecological urban areas, characterized in that: include: Constructing a comprehensive evaluation system for urban areas based on space, industry and environment, wherein the evaluation system includes a plurality of primary indicators and a plurality of secondary indicators corresponding to the corresponding primary indicators; Using the analytic hierarchy process and entropy weight method, the weights of all indicators in the comprehensive evaluation system of urban areas based on space, industry and environment are determined to obtain an indicator weight set; The urban area is evaluated based on the fuzzy comprehensive evaluation method and combined with the indicator weight set.

2. The comprehensive evaluation method for green ecological urban areas according to claim 1 is characterized in that: The first-level indicators include three dimensions, namely, spatial dimension, industrial dimension and environmental dimension; the spatial dimension has four first-level indicators, namely, energy management, green transportation, smart platform and resource utilization; the industrial dimension has two first-level indicators, namely, green production and low-carbon operation; the environmental dimension has three first-level indicators, namely, green community, ecological landscape and low-carbon building.

3. The comprehensive evaluation method for green ecological urban areas according to claim 2 is characterized in that: In the spatial dimension, the energy management includes three secondary indicators, namely renewable energy management, energy management platform and energy-saving municipal facilities; the green transportation includes three secondary indicators, namely green travel guidance, slow traffic system and new energy transportation facilities; the smart platform includes three secondary indicators, namely environmental monitoring system, digital lighting system and area management system; the resource utilization includes two secondary indicators, namely water resource utilization and waste resource utilization.

4. The comprehensive evaluation method for green ecological urban areas according to claim 2 is characterized in that: In the industrial dimension, the green production includes two secondary indicators, namely industrial structure and industrial layout; the low-carbon operation includes two secondary indicators, namely industrial ecosystem and industrial operation management.

5. The comprehensive evaluation method for green ecological urban areas according to claim 2 is characterized in that: In the environmental dimension, the green community includes three secondary indicators, namely community public participation, low-carbon community governance and community place memory; the ecological landscape includes two secondary indicators, namely area landscape greening and sponge city construction; The low-carbon building includes three secondary indicators, namely green energy-saving buildings, star-rated green building certification, and green building materials.

6. The comprehensive evaluation method for green ecological urban areas according to claim 2 is characterized in that: The use of the analytic hierarchy process and entropy weight method to determine the weights of all indicators in the comprehensive evaluation system of urban areas based on space, industry and environment includes: Based on the analytic hierarchy process, the optimal comprehensive green ecological performance of urban areas is taken as the target layer, all the first-level indicators constitute the criterion layer, and all the second-level indicators constitute the sub-criterion layer; Compare the importance of each first-level indicator to the target layer in pairs, and obtain the first-level indicator pairwise comparison results; Based on the pairwise comparison results of the first-level indicators, a target layer judgment matrix is ​​constructed; Compare the importance of each secondary indicator to the corresponding primary indicator in the quasi-measurement layer, and obtain the pairwise comparison results of the corresponding secondary indicators; Based on the pairwise comparison results of the corresponding secondary indicators, the corresponding judgment matrix of the primary indicators is constructed; Performing consistency check on the target layer judgment matrix and the judgment matrix corresponding to the first-level index; The judgment matrix that has passed the consistency test is standardized to obtain a standardized target layer judgment matrix and a standardized first-level indicator corresponding judgment matrix; Using the entropy weight method, based on the standardized target layer judgment matrix and the standardized first-level indicator corresponding judgment matrix, the weight coefficients of each first-level indicator and the weight coefficients of the corresponding second-level indicators under each first-level indicator are obtained to form an indicator weight set.

7. The comprehensive evaluation method for green ecological urban areas according to claim 6 is characterized in that: The consistency check process includes: Calculate the weight vector of the judgment matrix; Obtain the maximum eigenvalue of the judgment matrix based on the weight vector; The consistency index value of the judgment matrix is ​​calculated based on the maximum characteristic root; Determine whether the judgment matrix is ​​consistent according to the consistency index value. If not, adjust the judgment matrix and repeat the above consistency test steps until the judgment matrix is ​​consistent. The determination of whether the matrix is ​​consistent is based on the following judgment formula: ； Among them, CR is the judgment parameter; CI represents the consistency index value; RI is the random consistency index.

8. The comprehensive evaluation method for green ecological urban areas according to claim 7 is characterized in that: The step of obtaining the weight coefficient of each primary indicator includes: Based on the weight vector of the target layer judgment matrix, the initial weight coefficient of each first-level indicator is obtained; Based on the standardized target layer judgment matrix, the entropy of each first-level indicator is calculated; According to the entropy of each first-level indicator, calculate the deviation degree corresponding to each first-level indicator; Using the degree of deviation, a correction coefficient corresponding to each primary indicator is obtained; Based on the correction coefficient corresponding to each first-level indicator and the initial weight coefficient of each first-level indicator, the weight coefficient of each first-level indicator is obtained.

9. The comprehensive evaluation method for green ecological urban areas according to claim 7 is characterized in that: The steps of obtaining the weight coefficient of the corresponding secondary indicator under each primary indicator include: Based on the weight vector of the judgment matrix corresponding to each first-level indicator, the initial weight coefficient of the second-level indicator under each first-level indicator is obtained; Based on the judgment matrix corresponding to each first-level indicator, the entropy of the second-level indicator under each first-level indicator is calculated; According to the entropy of the secondary indicators under each primary indicator, calculate the deviation degree corresponding to each secondary indicator; Using the degree of deviation, a correction coefficient corresponding to each secondary indicator is obtained; Based on the correction coefficient corresponding to each secondary indicator and the initial weight coefficient of the secondary indicator under each primary indicator, the weight coefficient of the secondary indicator corresponding to each primary indicator is obtained.

10. The comprehensive evaluation method for green ecological urban areas according to claim 6 is characterized in that: The evaluating the urban area based on the fuzzy comprehensive evaluation method and in combination with the indicator weight set includes: Determine the evaluation set; Based on the evaluation set, each secondary indicator in the sub-criteria layer is evaluated, the evaluation results of each secondary indicator in the sub-criteria layer are obtained, and the fuzzy evaluation matrix of each primary indicator in the criterion layer is constructed; Based on the weight coefficient of the corresponding secondary indicator under each primary indicator and the corresponding fuzzy evaluation matrix of each primary indicator, each primary indicator in the criterion layer is evaluated to obtain the evaluation results of each primary indicator and construct the fuzzy evaluation matrix of the urban area; The comprehensive evaluation results are obtained based on the weight coefficients of each primary indicator and the fuzzy evaluation matrix of the urban area.

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