Urban space regulation and control method for promoting synergism of carbon reduction, pollution reduction, green expansion and growth

Abstract

The invention discloses a town space regulation and control method for promoting cooperation of carbon reduction, pollution reduction, green expansion and growth, and the method comprises the steps: extracting a town current situation boundary, determining a town current situation built-up area range, simulating a town space expansion inertia boundary, determining a town expansion inertia space, and determining economic, social and ecological value models of an agricultural land. And delimiting an urban space treatment regulation and control area. According to the method, a spatial undifferentiated curve of land resources serving as farmland and urban construction land utilization is theoretically defined, and a spatial reference system for urban space governance regulation and control multi-scheme coordinated with carbon reduction, pollution reduction, green expansion and growth is found in practice; the urban space governance regulation and control model and method are provided from multiple aspects, and a regulation and control scheme is provided for regional space governance and high-quality development.

Description

Technical Field

[0001] The present invention relates to the technical field of spatial planning and urban planning, and in particular to a method for regulating urban space to promote coordinated carbon reduction, pollution reduction, greening and growth. Background Art

[0002] Coordinated promotion of carbon reduction, pollution reduction and greening growth is an important measure for comprehensive green transformation and high-quality development, while the existing urban space governance and control methods for carbon reduction, pollution reduction and greening growth are obviously lagging behind the differentiated practical needs. Urban development is an important path to promote economic growth. At the same time, the demarcation of urban development boundaries is an important means to ensure carbon reduction, pollution reduction and greening. To this end, the government has adopted a variety of macro-control strategies to limit the disorderly expansion of urban space, but the situation of urban space expansion remains severe. At present, the method of identifying the current boundaries of urban space through multi-spectral remote sensing data and night light remote sensing data is relatively mature, but the demarcation of urban development boundaries is mostly based on 1.3 times the existing urban space scale, which is difficult to meet the actual development needs of different regions. The land price equilibrium model is an important method for urban space regulation, that is, a method to find the spatial equilibrium position of urban space land prices and non-urban space land prices, so as to determine the boundary that meets the optimal comprehensive benefits of urban space expansion. However, in the past, urban space regulation did not take into account the negative ecological externalities brought about by urban space as a carbon source space and a pollution source space, as well as the positive ecological externalities brought about by the occupation of agricultural and ecological space as a carbon sink space and a purification source space, resulting in an imbalance in the carbon balance of the national land space, the expansion of pollution sources, and the degradation of ecological purification capacity. Therefore, the urban space regulation method that coordinates carbon reduction, pollution reduction, greening and growth is not yet mature, and it is urgent to propose an urban space regulation method that promotes the coordination of carbon reduction, pollution reduction, greening and growth. Summary of the invention

[0003] Purpose of the invention: The purpose of the present invention is to provide a method for urban space regulation that promotes the coordinated growth of carbon reduction, pollution reduction and green expansion.

[0004] Technical solution: The present invention comprises the following steps:

[0005] S1: Extract the current boundary of the town and determine the current built-up area of ​​the town;

[0006] S2: Simulate the inertial boundary of urban spatial expansion and determine the inertial space of urban expansion;

[0007] S3: Models to determine the economic, social and ecological value of agricultural land;

[0008] S4: Delineate urban space governance and control zones.

[0009] Further, the step S1 includes extracting the current boundary by using the method of fusing and overlaying night lights and remote sensing indices. The construction land information is extracted by using the construction land index, i.e., BI. The area where BI > 0 is taken as the construction land area, and the calculation formula is:

[0010] BI = NDBI × NDVI - MNDWI

[0011] Where: NDBI is the normalized difference built-up index, NDVI is the normalized difference vegetation index, and MNDWI is the modified normalized difference water index.

[0012] Further, the step S2 includes:

[0013] S21: Using the Markov module in IDRISI to obtain the land use transfer matrix of the study area in recent years, providing conversion rules for simulation operations;

[0014] S22: Setting limiting factors and constraints, and using the MCE module to produce the suitability image of land type conversion, providing conversion rules for simulation operations;

[0015] S23: Combining the land use transfer matrix and the suitability atlas, setting the starting time and the number of iterations of the cellular automaton, simulating the land use types in subsequent years, and taking the outer envelope surface of the construction land in the simulation results as the urban inertia boundary.

[0016] Further, the economic model of agricultural land in the step S3 is:

[0017]

[0018] Where: V a is the agricultural added value per unit area of the study area, which is the ratio of agricultural added value to the actual cultivated land area at the end of the year; r is the reduction interest rate, taking the current safe interest rate, and α 1 is the correction coefficient for the scarcity of agricultural land, POP is the permanent population of the study area, and F n is the per capita demand for food crops in the study area, and F q is the yield of food crops per unit cultivated land area in the study area, and A is the actual cultivated land area at the end of the year in the study area.

[0019] Further, the ecological value model of agricultural land in the step S3 is:

[0020]

[0021] Where: V c is the ecological service value per unit area of the farmland ecosystem after time point correction, r is the reduction interest rate, and α 1 is the correction coefficient for the scarcity of agricultural land, and α 2 is the regional correction coefficient, and Fq For the yield per unit area of cultivated land of food crops in the study area, F Q is the yield per unit area of cultivated land of national food crops.

[0022] Furthermore, it is characterized in that the social value model of the agricultural land in step S3 is:

[0023] MAP S =(V L +V M +V W )×α 1

[0024] Where: V L is the living security value of the agricultural land, V M is the medical security value of the agricultural land, V W is the employment security value of the agricultural land, and α 1 is the correction coefficient of the scarcity of the agricultural land.

[0025] Furthermore, the living security value of the agricultural land is expressed as:

[0026]

[0027] Where: B is the per capita minimum living security fund of urban residents in the study area per year, r is the reduction interest rate, POP C is the total rural population in the study area, and A is the actual area of cultivated land at the end of the year in the study area.

[0028] Furthermore, the medical security value of the agricultural land is expressed as:

[0029]

[0030] Where: C is the per capita medical and health care living consumption expenditure of rural residents' families in the study area per year, r is the reduction interest rate, POP C is the total rural population in the study area, and A is the actual area of cultivated land at the end of the year in the study area.

[0031] Furthermore, the employment security value of the agricultural land is expressed as:

[0032]

[0033] Where: T is the per capita annual training cost, r is the reduction interest rate, POP f is the rural labor force population in the study area, and A is the actual area of cultivated land at the end of the year in the study area.

[0034] Furthermore, step S4 includes constructing an extraction model for the regulation boundary under the natural, carbon reduction, pollution reduction I, pollution reduction II, green expansion, and growth models according to the urban spatial collaborative governance plan.

[0035] Beneficial effects: Compared with the prior art, the present invention has the following significant advantages: The present invention comprehensively weighs multiple factors such as nature, carbon reduction, pollution reduction, green expansion and growth, and newly proposes 20 boundaries. In theory, it defines the spatial indifference curve of land resources as agricultural land and urban construction land. In practice, it finds a spatial reference system for multiple urban space governance and control schemes for the coordination of carbon reduction, pollution reduction, green expansion and growth; it proposes urban space governance and control models and methods from multiple aspects (nature, carbon reduction, pollution reduction I and II, green expansion, and growth), and provides a control scheme for regional space governance and high-quality development. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0037] The technical solution of the present invention is further described below in conjunction with the accompanying drawings.

[0038] like Figure 1 As shown, the urban space regulation method for promoting coordinated carbon reduction, pollution reduction, greening and growth described in the present invention comprises the following steps:

[0039] Step 1: Extract the current urban boundary and determine the current urban built-up area;

[0040] The current boundary is extracted by fusion and superposition of night lights and remote sensing index, and redundant information such as construction land, bare land, and water bodies outside the active night light areas of the town is eliminated. The outer envelope of the construction land in the active area is used as the current boundary of the town. Among them, the construction land information is extracted using the construction land index (BI), and the area with BI>0 is regarded as the construction land area. The specific calculation formula is:

[0041] BI=NDBI×NDVI-MNDWI

[0042] Among them: NDBI is the normalized building index, but due to external factors such as season and light, the calculation of NDBI is often interfered by some plants, so it is necessary to eliminate the influence of vegetation and water bodies; NDVI is the normalized vegetation index; MNDWI is the improved normalized difference water index. All three indices are calculated using band math in ENVI.

[0043] Step 2: Simulate the inertial boundary of urban spatial expansion and determine the inertial space of urban expansion;

[0044] Based on the CA-Markov model, the land use transition matrix and suitability atlas are used to determine the land type change rules and simulate the future land use types, including:

[0045] Step 2.1: Using the Markov module in IDRISI, obtain the land use transfer matrices for the study area from 2010 - 2015 and 2015 - 2020, providing conversion rules for the simulation operation.

[0046] Step 2.2: Set limiting factors and constraints, and use the MCE module to create a land type conversion suitability image, providing conversion rules for the simulation operation.

[0047] Step 2.3: Combine the land use transfer matrix and the suitability atlas, set the starting time and the number of iterations of the cellular automaton, simulate the land use types in subsequent years, and use the outer envelope surface of the construction land in the simulation results as the urban inertia boundary.

[0048] Step 3: Determine the economic, social, and ecological values of agricultural land;

[0049] Step 3.1: Use cultivated land to represent agricultural land. The economic value of agricultural land (MAP e ) is represented by the output value of food or cash crops, and the formula is as follows:

[0050]

[0051] Where: V a is the agricultural added value per unit area in the study area, which is the ratio of agricultural added value to the actual cultivated land area at the end of the year; r is the discount rate, taking the current safe interest rate. Since the bank deposit interest rate has been adjusted many times, the average value within the year is taken as the current safe interest rate; α 1 is the correction coefficient for the scarcity of agricultural land, POP is the permanent population in the study area, F n is the per capita demand for food crops in the study area, F q is the yield per unit area of food crops in the study area, and A is the actual cultivated land area at the end of the year in the study area.

[0052] Step 3.2: The ecological value of agricultural land (MAP c ) can be represented by the ecological service value provided by cultivated land. The ecological service value refers to the Ecological System Service Value Equivalent Factor Table of Jiangsu Province and is measured using the equivalent factor method. The formula is as follows:

[0053]

[0054] Where: V c is the ecological service value per unit area of the farmland ecosystem after time point correction, r is the discount rate, α 1 is the correction coefficient for the scarcity of agricultural land, α 2 is the regional correction coefficient, F q is the yield per unit area of food crops in the study area, F QThe yield per unit of cultivated land of national food crops, GDP is the per capita GDP of the whole country, and GDP′ is the per capita GDP of the study area.

[0055] Step 3.3: The social value of agricultural land mainly considers the value generated by agricultural land in three social functions: living security, medical security, and employment security. The formula is as follows:

[0056] MAP S =(V L +V M +V W )×α 1

[0057] Where: V L is the living security value of agricultural land, V M is the medical security value of agricultural land, V W is the employment security value of agricultural land, and α 1 is the correction coefficient of agricultural land scarcity.

[0058] Step 3.4: The living security value is measured by the minimum living security fund for urban residents. The formula is as follows:

[0059]

[0060] Where: B is the per capita minimum living security fund for urban residents in the study area every year, r is the reduction interest rate, POP C is the total rural population in the study area, and A is the actual cultivated land area at the end of the year in the study area.

[0061] Step 3.5: The medical security value is measured by the per capita medical and health care living consumption expenditure of rural resident families. The formula is as follows:

[0062]

[0063] Where: C is the per capita medical and health care living consumption expenditure of rural resident families in the study area every year, r is the reduction interest rate, POP C is the total rural population in the study area, and A is the actual cultivated land area at the end of the year in the study area.

[0064] Step 3.6: The employment security value is measured by the learning and training expenses required for farmers to re-employ. The formula is as follows:

[0065]

[0066] Where: T is the per capita annual training expense, r is the reduction interest rate, POP f is the rural labor force population in the study area, and A is the actual cultivated land area at the end of the year in the study area.

[0067] Step 4: Demarcate the urban space governance and regulation area.

[0068] Step 4.1: First, define the scheme settings for the collaborative governance of urban space as follows:

[0069] This application proposes seven sets of methods for urban space governance: planning, nature, carbon reduction, pollution reduction I, pollution reduction II, green expansion, and growth. (1) The planning scheme refers to the scenario in the current territorial space planning where the expansion multiple is set to strictly control the newly added construction land, that is, the expansion multiple of the urban development boundary in 2035 is mostly controlled within 1.3 times the urban construction land scale in 2020. (2) It is assumed that the historical growth mode will continue to exist. (3) The carbon reduction method refers to the governance scenario scheme that defines the ideal carbon reduction boundary, moderate carbon reduction boundary, and extreme carbon reduction boundary according to the marginal principle under the premise of taking carbon reduction as the priority development goal, involving extensive and profound economic and social systematic changes in multiple dimensions of ecology, economy, and energy, and meeting the internal requirements of the harmonious coexistence of man and nature. (4) The pollution reduction I method refers to the governance scenario scheme that defines the ideal pollution reduction I boundary, moderate pollution reduction I boundary, and extreme pollution reduction I boundary proposed with industrial pollution reduction as the key strategic direction under the long-term green development strategy in the urban built-up area. The three boundaries under this scheme are based on green development, coordinately promote carbon reduction and pollution reduction, leave sufficient ecological system service function margin, and reduce industrial emissions and pollutant emissions. (5) The pollution reduction II method refers to the governance scenario scheme that defines the ideal pollution reduction II boundary, moderate pollution reduction II boundary, and extreme pollution reduction II boundary proposed with agricultural pollution reduction as the key strategic direction under the drive of the agricultural green sustainable development strategy. The three boundaries involve the coordinated development of multiple dimensions of ecology, economy, and society, and meet the internal requirements of the harmonious coexistence of man and nature. (6) The green expansion method refers to the scenario scheme of the green expansion and carbon reduction boundary, green expansion and pollution reduction boundary, green expansion and natural boundary, and green expansion and growth boundary refined with the goal of improving the diversity, stability, and sustainability of the ecosystem. The four boundaries are based on sustainable development and nature-based solutions, promoting the double improvement of ecological green expansion in terms of quantity and quality. (7) The growth method refers to the governance scenario scheme of the growth ideal boundary, growth moderate boundary, and growth extreme boundary refined after prioritizing the implementation of the primary task of high-quality development and the central goal of economic efficiency improvement. The three boundaries are based on the high-quality development of the economy, coordinate the regional economic layout and territorial space utilization, enhance the guarantee of land elements for high-quality development, and are governance schemes that meet economic needs and enhance economic vitality.

[0070] Step 4.2: Based on the above-described scheme for the collaborative governance of urban space, this application newly constructs a regulatory boundary extraction model under the methods of nature, carbon reduction, pollution reduction I, pollution reduction II, green expansion, and growth (excluding planning) as follows:

[0071] Under different methods, the three boundaries are spatial indifference curves reflecting land price equilibrium (agricultural land and construction land) under different conditions, which can be obtained by interpolating land price monitoring points for construction land. The formula is as follows:

[0072] ① Natural method

[0073] Green natural ideal boundary: MP GDP = MAP e + MAP c + MAP s

[0074] Yellow natural cost boundary: MP GDP = MAP e + MAP c

[0075] Red natural warning boundary: MP GDP = MAP e

[0076] ② Carbon reduction method

[0077] Green carbon reduction ideal boundary: MP GDP - MPco 2 = MAP e + MAP c + MAP s

[0078] Yellow carbon reduction cost boundary: MP GDP - MPco 2 = MAP e + MAP c

[0079] Red carbon reduction warning boundary: MP GDP - MPco 2 = MAP e

[0080] ③ Pollutant reduction I method

[0081] Green pollutant reduction I ideal boundary: MP GDP - MPco 2 - MP po = MAP e + MAP c + MAP s

[0082] Yellow pollutant reduction I cost boundary: MP GDP - MPco 2 - MP po = MAP e + MAP c

[0083] Red Pollution Reduction I Warning Boundary: MP GDP -MPco 2 -MP po =MAP e

[0084] ④ Pollution Reduction II Method

[0085] Pollution Reduction II Natural Boundary: MAP e -MAP a =MP GDP

[0086] Pollution Reduction II Carbon Emission Reduction Boundary: MAP e -MAP a =MP′ GDP

[0087] Pollution Reduction I-II Boundary: MAP e -MAP a =MP″ GDP

[0088] Pollution Reduction II Growth Boundary: MAP e -MAP a =MP GDPnew

[0089] ⑤ Green Expansion Method

[0090] Green Expansion Natural Boundary: MAPe + MAPc + MAPs + MAPg = MP GDP

[0091] Green Expansion Carbon Emission Reduction Boundary: MAPe + MAPc + MAPs + MAPg = MP′ GDP

[0092] Green Expansion Pollution Reduction Boundary: MAPe + MAPc + MAPs + MAPg = MP″ GDP

[0093] Green Expansion Growth Boundary: MAPe + MAPc + MAPs + MAPg = MP GDPnew

[0094] ⑥ Growth Method

[0095] Ideal Boundary of Green Growth: MP GDP =MAP e +MAP c +MAP s

[0096] Cost Boundary of Yellow Growth: MP GDP =MAP e +MAP c

[0097] Red Growth Alert Boundary: MP GDP = MAP e

[0098] Among them, MCP represents the price of construction land; MPco 2 is the carbon tax price of construction land, with the average price of the national pilot carbon trading in 2020 being 28.6 (yuan / ton) as the standard; MAP e represents the economic value of agricultural land; MAP c represents the ecological value of agricultural land; MAP s represents the social value of agricultural land; MAP a represents the pollution cost of agricultural land.

[0099] In the interpolation analysis module of ArcGIS, ordinary Kriging interpolation is performed on 215 land price monitoring points that have passed the accuracy test. The semi-variogram cloud diagram is set to determine the empirical simulation function, and the construction land price isolines of XX City are obtained. Using this value as the breakpoint in the interpolation analysis results, the corresponding isolines are extracted, which are the spatial positions of each boundary.

[0100] Under the planning scenario, the urban space governance path of XX City, based on the urban space area of 573.19 km 2 in 2020, expands the urban space planning boundary range to 1.3246 times, approximately 759.25 km 2 ; Under the natural scenario, when the green ideal space represents the sum of its economic, ecological, and social values, the reserved regulatory space it can provide for urban expansion has an area of 713.1 km 2 , and the yellow cost space is the reserved regulatory space that can be provided for urban expansion when the agricultural land price represents the sum of its economic and ecological values, with an area of 1152.15 km 2 , and the extreme boundary red alert space is the reserved regulatory space that can be provided for urban expansion when the agricultural land price only represents its economic value, with an area of 1574.07 km 2 ; Under the carbon emission reduction scenario, the green ideal space is the reserved regulatory space that can be provided for urban expansion when the agricultural land price represents the sum of its economic, ecological, and social values minus the carbon tax price of construction land, with an area of 695.00 km 2 , and the yellow cost space is the reserved regulatory space that can be provided for urban expansion when the agricultural land price represents the sum of its economic and ecological values minus the carbon tax price of construction land, with an area of 1109.24 km 2 , and the red alert space is the reserved regulatory space that can be provided for urban expansion when the agricultural land price only represents its economic value minus the carbon tax price of construction land, with an area of 1491.27 km 2; In the pollution reduction scenario, the green ideal space is the reserved regulatory space that can be provided for urban expansion when the agricultural land price is the sum of its economic, ecological, and social values minus the carbon tax price of construction land and pollution costs, and its area is 684.29 km 2 ; The yellow cost space is the reserved regulatory space that can be provided for urban expansion when the agricultural land price is the sum of its economic and ecological values minus the carbon tax price of construction land and pollution costs, and its area is 1096.63 km 2 ; The red warning space is the reserved regulatory space that can be provided for urban expansion when the agricultural land price is only its economic value minus the carbon tax price of construction land and pollution costs, and its area is 1491.27 km 2 ; In the green expansion scenario, the green expansion natural space is the reserved regulatory space that can be provided for urban expansion when the agricultural land price is equal to the economic marginal value in terms of its economic, ecological, and social values, and its area is 691.62 km 2 ; The green expansion carbon reduction space is the reserved regulatory space that can be provided for urban expansion when the agricultural land price is equal to the economic marginal value minus the carbon tax price of construction land in terms of its economic, ecological, and social values, and its area is 669.38 km 2 ; The green expansion pollution reduction space is the reserved regulatory space that can be provided for urban expansion when the agricultural land price is equal to the economic marginal value minus the carbon tax price of construction land and pollution costs in terms of its economic, ecological, and social values, and its area is 643.7 km 2 ; The green expansion growth space is the reserved regulatory space that can be provided for urban expansion when the agricultural land price is equal to the economic marginal value plus the value of technological progress growth in terms of its economic, ecological, and social values, and its area is 739.79 km 2 ; In the growth scenario, the green ideal space is the reserved regulatory space that can be provided for urban expansion when the agricultural land price is the sum of its economic, ecological, and social values plus the value of technological progress growth, and its area is 722.91 km 2 ; The yellow cost space is the reserved regulatory space that can be provided for urban expansion when the agricultural land price is the sum of its economic and ecological values plus the value of technological progress growth, and its area is 1255.11 km 2 ; The extreme boundary red warning space is the reserved regulatory space that can be provided for urban expansion when the agricultural land price is its economic value plus the value of technological progress growth, and its area is 1696.79 km 2 .

[0101] As a reference system for the optimization of territorial space, the urban space governance of XX City should first select the governance path of the green ideal space in the carbon reduction scenario (695.00 km 2), but in combination with the classification of macro comprehensive functional areas, XX City belongs to the Yangtze River Delta Comprehensive Functional Area. Considering the rigid demand and practical feasibility of urban space for rapid urbanization and high-quality development, it is recommended that XX City should choose the governance path of the red alert space under the carbon reduction scenario (1491.27 km 2 ).

Claims

1. A method for urban space regulation that promotes coordinated carbon reduction, pollution reduction, greening and growth, characterized in that: The steps include: S1: Extract the current boundary of the town and determine the current built-up area of ​​the town; S2: Simulate the inertial boundary of urban spatial expansion and determine the inertial space of urban expansion; S3: Models to determine the economic, social and ecological value of agricultural land; S4: Delineate urban space governance and control zones.

2. The urban space regulation method for promoting coordinated carbon reduction, pollution reduction, greening and growth according to claim 1 is characterized in that: The step S1 includes extracting the current boundary by fusion and superposition of nighttime light and remote sensing index, extracting the construction land information by using the construction land index (BI), and taking the area with BI>0 as the construction land area. The calculation formula is: BI=NDBI×NDVI-MNDWI Among them: NDBI is the normalized building index, NDVI is the normalized vegetation index, and MNDWI is the modified normalized difference water index.

3. The urban space regulation method for promoting coordinated carbon reduction, pollution reduction, greening and growth according to claim 1 is characterized in that: The step S2 comprises: S21: Use the Markov module in IDRISI to obtain the land use transition matrix of the study area in recent years and provide conversion rules for simulation operations; S22: Set limiting factors and constraints, use the MCE module to produce land conversion suitability images, and provide conversion rules for simulation operations; S23: Combine the land use transfer matrix and suitability atlas, set the starting time and the number of cellular automaton cycles, simulate the land use types in subsequent years, and use the outer envelope of the construction land in the simulation results as the inertial boundary of the town.

4. The urban space regulation method for promoting coordinated carbon reduction, pollution reduction, greening and growth according to claim 1 is characterized in that: The economic model of farmland in step S3 is: Where: V a is the agricultural added value per unit area of ​​the study area, which is the ratio of agricultural added value to the actual cultivated land area at the end of the year; r is the reduction interest rate, which is the safe interest rate of the year; α1 is the correction coefficient for farmland scarcity; POP is the permanent population of the study area; F n is the per capita food crop demand in the study area, F q is the yield of grain crops per unit of cultivated land in the study area, and A is the actual cultivated land area in the study area at the end of the year.

5. The urban space regulation method for promoting coordinated carbon reduction, pollution reduction, greening and growth according to claim 1 is characterized in that: The ecological value model of the farmland in step S3 is: Where: V c is the ecological service value per unit area of ​​farmland ecosystem after time point correction, r is the reduction rate, α1 is the farmland scarcity correction coefficient, α2 is the regional correction coefficient, and F q is the yield of grain crops per unit of cultivated land in the study area, F Q It is the national grain crop yield per unit of cultivated land.

6. The urban space regulation method for promoting coordinated carbon reduction, pollution reduction, greening and growth according to claim 1 is characterized in that: The social value model of farmland in step S3 is: MAP S =(V L +V M +V W )×α1 Where: V L For the life security value of farmland, V M is the medical insurance value of farmland, V W is the employment security value of farmland, and α1 is the scarcity correction coefficient of farmland.

7. The urban space regulation method for promoting coordinated carbon reduction, pollution reduction, greening and growth according to claim 6 is characterized in that: The life security value of the farmland is expressed as: Where: B is the annual per capita minimum living allowance for urban residents in the study area, r is the reduction interest rate, POP C is the total rural population in the study area, and A is the actual cultivated land area in the study area at the end of the year.

8. The urban space regulation method for promoting coordinated carbon reduction, pollution reduction, greening and growth according to claim 6 is characterized in that: The medical insurance value of the farmland is expressed as: Where: C is the annual per capita medical and health care living expenditure of rural residents in the study area, r is the reduction rate, POP C is the total rural population in the study area, and A is the actual cultivated land area in the study area at the end of the year.

9. The urban space regulation method for promoting coordinated carbon reduction, pollution reduction, greening and growth according to claim 6 is characterized in that: The employment security value of the agricultural land is expressed as: Where: T is the average annual training cost per person, r is the reduction rate, POP f is the rural labor force population in the study area, and A is the actual cultivated land area in the study area at the end of the year.

10. The urban space regulation method for promoting coordinated carbon reduction, pollution reduction, greening and growth according to claim 1 is characterized in that: The step S4 includes constructing an extraction model for regulatory boundaries under the natural, carbon reduction, pollution reduction I, pollution reduction II, green expansion and growth modes according to the planning of urban space collaborative governance.

Images