Land space use conflict coordination method and system based on multi-objective optimization

Abstract

The invention relates to the technical field of territorial space planning, in particular to a territorial space use conflict coordination method and system based on multi-objective optimization, and the method comprises the following steps: determining a land resource use type in a to-be-processed region; constructing a plurality of territorial space purpose conflict coordination schemes; selecting a scheme with the highest adaptive value as a first territorial space use conflict coordination scheme; calculating an adaptive value of a functional component of each land resource use type in the first territorial space use conflict coordination scheme; according to the adaptive value of the functional component of each land resource use type, determining the functional component with the lowest functional component adaptive value in the first territorial space use conflict coordination scheme as a to-be-selected functional component; and removing all land resource use types of the to-be-selected functional components from the first territorial space use conflict coordination scheme to obtain a second territorial space use conflict coordination scheme, and taking the second territorial space use conflict coordination scheme as an optimal territorial space use conflict coordination scheme.

Description

Technical Field

[0001] The present invention relates to the technical field of land space planning, and in particular to a land space use conflict coordination method and system based on multi-objective optimization. Background Art

[0002] With the acceleration of urbanization and the continuous growth of population, national land space planning faces increasingly complex challenges. Traditional national land space planning methods often seem to be unable to cope with the conflicts between multiple land uses. In recent years, although some researchers have tried to introduce quantitative analysis methods to optimize national land space planning, these methods still have many shortcomings.

[0003] Currently, the closest existing technology focuses on the use of a combination of Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA). This approach attempts to find the optimal land use solution by combining spatial data with decision makers’ preferences. However, this approach faces several key problems in practical application:

[0004] First, existing methods often have difficulty in effectively handling large-scale and complex planning tasks. When there are many types of land uses involved and the planning area is large, traditional methods often find it difficult to come up with feasible solutions within a reasonable time. Secondly, when dealing with conflicts between land uses, existing methods often use simple weighted averages or hierarchical analysis methods, which are difficult to fully reflect the complex interactions and impacts between different land uses. Furthermore, most existing methods lack the ability to dynamically optimize. Once the initial plan is determined, it is difficult to flexibly adjust it according to new circumstances. Finally, when evaluating land use plans, existing methods often only focus on a single or a few goals, and it is difficult to fully consider the needs of multiple dimensions such as the economy, society, and ecology.

[0005] These problems have led to the existing land space planning methods often failing to meet the needs in practical applications. The planning results have problems such as low land use efficiency, insufficient ecological environmental protection, and difficulty in meeting social needs. Especially in rapidly developing areas, these problems have led to serious waste of land resources and environmental damage, affecting the sustainable development of the region.

[0006] In response to the above problems, the present invention proposes a land space use conflict coordination method and system based on multi-objective optimization. Summary of the invention

[0007] The purpose of the present invention is to provide a land space use conflict coordination method and system based on multi-objective optimization, which aims to solve the problems of low planning efficiency, weak conflict coordination ability, lack of flexibility in the optimization process, etc. in the prior art. By introducing a multi-objective optimization algorithm, a nine-square grid model and the concept of functional components, the present invention can handle complex land space planning tasks more comprehensively and efficiently.

[0008] The present invention proposes a land space use conflict coordination method based on multi-objective optimization, which includes the following steps:

[0009] First, determine the type of land resource use in the area to be treated;

[0010] Secondly, according to the number of land resource use types and the size of the area to be processed, a variety of land space use conflict coordination plans are constructed;

[0011] Next, the fitness value of each of the land space use conflict coordination schemes is calculated, and the scheme with the highest fitness value is selected as the first land space use conflict coordination scheme;

[0012] Then, calculating the adaptation value of the functional component of each of the land resource use types in the first land space use conflict coordination plan;

[0013] Subsequently, according to the fitness value of the functional component of each of the land resource use types, the functional component with the lowest fitness value in the first land space use conflict coordination plan is determined as the candidate functional component;

[0014] Finally, all land resource use types of the candidate functional components are removed from the first land use conflict coordination plan to obtain a second land use conflict coordination plan, which is used as the optimal land use conflict coordination plan.

[0015] Preferably, the step of constructing a variety of land space use conflict coordination plans specifically includes:

[0016] Firstly, a basic model of land resource use conflict coordination scheme with a nine-square grid was constructed according to the ratio of 1:1:1:1:1:1:1:1:1:1:1 of the types of land resource use.

[0017] Secondly, when the number of any of the land resource use types exceeds the maximum capacity of the nine-square grid model, an additional nine-square grid with the same number as the nine-square grid model is determined according to the excess number M of the land resource use types, thereby obtaining M+9 land space use conflict coordination schemes of the basic model;

[0018] Finally, the areas of the nine lands in each of the land space use conflict coordination plans are adjusted so that the sum of the areas of each type of land resource use is equal to the total area of ​​the area to be processed, thereby completing the setting of the multi-objective optimization land space use conflict coordination plan.

[0019] Preferably, the step of calculating the fitness value of each land space use conflict coordination scheme specifically includes:

[0020] Firstly, according to the preset fitness value weight of each land resource use type, the fitness value of each land resource use type is calculated;

[0021] Secondly, the relative adaptability value of the land resource use type is calculated according to the land use conflict intensity and the importance of the use function of the land resource use type;

[0022] Then, according to the land area occupied by the land resource use type and the relative adaptability value of the land resource use type, the adaptability value of each land resource use type is calculated;

[0023] Finally, the adaptation value of each of the land space use conflict coordination schemes is calculated based on the adaptation value of each of the land resource use types in each of the land space use conflict coordination schemes.

[0024] Preferably, the relative fitness value of the land resource use type is determined by a preset formula, wherein the fitness value weight is determined according to the importance of the land resource use type, and the preset formula includes parameters representing the intensity of land type conflict and the importance of use function;

[0025] The land type conflict intensity is determined using a preset formula, which includes parameters representing a land type conflict spatial weight matrix, and the spatial weight matrix describes the conflict relationship between other land resource use types adjacent to the land resource use type.

[0026] Preferably, the functional components include: food production areas, ecological protection areas, living areas, industrial areas, public service areas, waterfront green areas and abandoned areas, mountain protection areas, and scenic spots;

[0027] The calculation of the fitness value of the functional component is determined by a preset formula, which includes parameters representing the spatial weight matrix of land type conflicts, whether the land resource use types belong to the same functional component, the fitness value of the land resource use type, and the total area of ​​the land resource use type.

[0028] Preferably, the calculation process of the functional component fitness value comprises the following steps:

[0029] Firstly, the land resource use conflict intensity is calculated according to the preset formula to obtain the land resource use type conflict matrix;

[0030] Secondly, the land resource use type adaptation value is calculated according to the preset formula to obtain the land resource use type adaptation value matrix;

[0031] Then, the spatial weight matrix of nine land type conflicts was set;

[0032] Next, starting from any of the land resource use types, according to the land conflict spatial weight matrix, the adaptation values ​​of the other eight land resource use types are calculated according to a preset formula;

[0033] Then, the above process is repeated until the adaptation values ​​of the remaining eight types of land resource use are calculated;

[0034] Finally, after the fitness values ​​of the nine land resource use types are calculated, the fitness value matrices corresponding to the nine land resource use types are obtained respectively, and the fitness values ​​of the nine functional components are calculated according to the preset formula to screen out the functional component with the lowest fitness value.

[0035] The land space use conflict coordination system based on multi-objective optimization for executing the method comprises:

[0036] A conflict coordination scheme setting module is used to determine the land resource use type and determine the land space use conflict coordination scheme according to the number of land resource use types and the size of the area to be processed;

[0037] A preliminary setting module for land space conflict coordination schemes is used to calculate the fitness value of each land space use conflict coordination scheme, and select the scheme with the highest fitness value as the first land space use conflict coordination scheme;

[0038] The multi-objective optimization module of the land space use conflict coordination scheme is used to calculate the fitness value of the functional component of each land resource use type in the first land space use conflict coordination scheme, and according to the fitness value of the functional component of each land resource use type, the functional component with the lowest fitness value among the functional components in the first land space use conflict coordination scheme is used as the candidate functional component;

[0039] The land and space use conflict optimization plan output module is used to remove the candidate functional components in the first land and space use conflict coordination plan to obtain a second land and space use conflict coordination plan as the optimal land and space use conflict coordination plan.

[0040] Preferably, the preliminary setting module of the land space conflict coordination plan is specifically used for:

[0041] According to the ratio of 1:1:1:1:1:1:1:1:1:1:1 of the types of land resource use, a basic model of land resource use conflict coordination scheme with a nine-square grid was constructed;

[0042] When the number of land resource use types exceeds the maximum capacity of the nine-square grid model, an additional nine-square grid with the same number of land resource use types as the nine-square grid model is determined according to the excess number M of land resource use types, thereby obtaining M+9 land space use conflict coordination plans;

[0043] Adjust the areas of the nine lands in each of the land space use conflict coordination plans so that the sum of the areas of each type of land resource use is the total area of ​​the area to be processed, and complete the setting of the multi-objective optimization land space use conflict coordination plan.

[0044] Preferably, the preliminary setting module of the land space conflict coordination plan is also specifically used for:

[0045] Calculate the adaptation value of each type of land resource use according to the preset adaptation value weight of each type of land resource use;

[0046] According to the fitness value of each of the land resource use types in the M+9 land space use conflict coordination schemes, the fitness value of each of the land space use conflict coordination schemes is calculated, and the land space use conflict coordination scheme with the highest fitness value is determined as the first land space use conflict coordination scheme.

[0047] Preferably, the land space use conflict optimization solution output module is specifically used for:

[0048] Calculate the adaptation value of each land resource use type according to a preset formula;

[0049] Calculate the land resource use type adaptation value according to a preset formula to obtain the land resource use type adaptation value matrix;

[0050] Setting the spatial weight matrix of conflicts among the nine land types;

[0051] Starting from any of the land resource use types, according to the land conflict spatial weight matrix, the adaptation values ​​of the other eight land resource use types are calculated;

[0052] Repeat the above process until the adaptation values ​​of the remaining eight types of land resource use are calculated;

[0053] When the calculation of the adaptation values ​​of the nine land resource use types is completed, the nine land resource use type adaptation value matrices are obtained respectively;

[0054] The fitness values ​​of the nine functional components are calculated according to a preset formula, and the functional component with the lowest fitness value is screened out.

[0055] The beneficial effects of the present invention are mainly reflected in the following aspects:

[0056] The core of the present invention lies in its unique multi-objective optimization method and flexible nine-grid model. The multi-objective optimization algorithm enables the present invention to consider multiple objectives such as economic benefits, social needs and ecological protection at the same time, thereby obtaining a more balanced and sustainable planning scheme. The nine-grid model provides a concise and effective framework for complex planning tasks, greatly improving planning efficiency. In addition, the functional component concept introduced by the present invention enables the planning process to better reflect the relationship and influence between different land uses.

[0057] These innovative designs have produced significant synergistic effects in many aspects. For example, the combination of the multi-objective optimization algorithm and the nine-square grid model not only improves the efficiency of optimization, but also enhances the scalability of the solution, allowing the present invention to easily cope with large-scale planning tasks. At the same time, the introduction of functional components combined with multi-objective optimization solves the problem that it is difficult to fully consider the mutual influence of land use in traditional methods, making the planning results more reasonable and feasible.

[0058] In terms of effect, the various innovative points of the present invention form a mutually complementary and mutually reinforcing relationship. Multi-objective optimization improves the comprehensiveness of the scheme, the nine-square grid model enhances the flexibility and efficiency of the method, and the functional components deepen the understanding of the relationship between land use. The combination of these three makes the present invention improve the scientific nature of planning while also greatly enhancing the operability and adaptability of planning.

[0059] In general, the present invention innovatively solves the key problems in the existing technology and provides a more scientific, efficient and flexible method for national land space planning. It can not only improve the quality and efficiency of planning, but also provide new ideas and tools for solving complex land use conflict problems, which has important practical significance and long-term value for promoting regional coordinated development and achieving sustainable development goals. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a logic block diagram of the entire system of the present invention.

[0061] Figure 2 This is a logical block diagram of the preliminary setting module of the national land space conflict coordination solution of the present invention.

[0062] Figure 3 This is a logical block diagram of the multi-objective optimization module of the land space use conflict coordination scheme of the present invention.

[0063] Figure 4This is a logical block diagram of the land space use conflict optimization solution output module of the present invention.

[0064] Figure 5 This is a sub-flow chart for calculating the fitness value of the functional components of the present invention. DETAILED DESCRIPTION

[0065] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects thereof are described in detail below in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0066] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0067] See also Figure 1-5 The purpose of the present invention is to provide a land space use conflict coordination method and system based on multi-objective optimization to solve the problem of difficulty in coordinating conflicts between various uses in the land space planning process in the prior art.

[0068] To achieve the above object, the present invention provides the following technical solutions:

[0069] The land use conflict coordination method based on multi-standard optimization includes the following steps:

[0070] First, determine the land resource use types in the area to be processed. This step is the basis of the entire method. Through a comprehensive analysis of the area to be processed, the various land resource use types existing in the area are determined. For example, in a typical urban suburb, the land resource use types existing include agricultural land, residential land, industrial land, ecological protection land, etc.

[0071] Secondly, according to the number of land resource use types and the size of the area to be processed, a variety of land space use conflict coordination schemes are constructed. This step is one of the core of the method. By considering the number of land resource use types and the size of the area to be processed, a variety of coordination schemes are designed. For example, for a 100 square kilometer area containing 5 land resource use types, 10 to 20 different coordination schemes will be designed.

[0072] Next, the fitness value of each of the land space use conflict coordination schemes is calculated, and the scheme with the highest fitness value is selected as the first land space use conflict coordination scheme. This step introduces the concept of fitness value. By calculating the fitness value of each scheme, the pros and cons of the scheme can be quantitatively evaluated. The calculation of fitness value involves multiple factors, such as land use efficiency, ecological and environmental impact, economic benefits, etc. For example, a scheme that balances agricultural production and ecological protection will obtain a higher fitness value.

[0073] Then, the fitness value of the functional component of each land resource use type in the first land space use conflict coordination plan is calculated. This step introduces the concept of functional components, which groups related land resource use types together to better evaluate the performance of a certain function in the whole. For example, agricultural land and ecological protection land are classified as the "green space" functional component.

[0074] Subsequently, according to the fitness value of the functional component of each land resource use type, the functional component with the lowest fitness value in the first land space use conflict coordination plan is determined as the candidate functional component. This step is to identify the worst performing functional component and provide direction for subsequent optimization.

[0075] Finally, all land resource use types of the candidate functional components are removed from the first land use conflict coordination plan to obtain a second land use conflict coordination plan, which is used as the optimal land use conflict coordination plan. This step further optimizes the plan by removing the worst performing functional components.

[0076] Preferably, in one embodiment of the present invention, the step of constructing a variety of land space use conflict coordination schemes specifically includes:

[0077] First, a basic model of the land resource use conflict coordination scheme of the nine-square grid is constructed according to the ratio of the number of land resource use types of 1:1:1:1:1:1:1:1:1:1. The design of this nine-square grid model is simple and effective, and can provide an initial balanced allocation for different land resource use types. For example, for an area containing 9 types of land resource use, each type is initially allocated to a grid in the nine-square grid.

[0078] Secondly, when the number of any of the land resource use types exceeds the maximum capacity of the nine-square grid model, an additional nine-square grid with the same number as the nine-square grid model is determined according to the number M of the land resource use types, thereby obtaining M+9 land space use conflict coordination schemes of the basic model. This step increases the flexibility of the model and enables it to adapt to more complex situations. For example, if the number of a certain land resource use type is twice that of other types, an additional nine-square grid will be added, resulting in 18 schemes.

[0079] Finally, the area of ​​the nine lands in each of the land use conflict coordination schemes is adjusted so that the sum of the areas of each type of land resource use is equal to the total area of ​​the area to be processed, thereby completing the multi-objective optimization of the land use conflict coordination scheme. This step ensures the practicality of the scheme and enables it to accurately match the actual area of ​​the area to be processed.

[0080] In another embodiment of the present invention, the step of calculating the fitness value of each land space use conflict coordination scheme specifically includes:

[0081] First, according to the preset fitness value weight of each land resource use type, the fitness value of each land resource use type is calculated. The fitness value weight here reflects the importance of different land resource use types. For example, in ecologically sensitive areas, the weight of ecological protection land will be set higher, such as 0.8 or 0.9.

[0082] Secondly, the relative adaptability of the land resource use type is calculated based on the land use conflict intensity and use function importance of the land resource use type. The land use conflict intensity reflects the degree of contradiction between different land uses, while the use function importance reflects the importance of a certain use to the overall planning. For example, the conflict intensity between industrial land and residential land is high, set to 0.8, while the functional importance of industrial land is high in some areas, set to 0.9.

[0083] Then, the adaptation value of each land resource use type is calculated according to the land area occupied by the land resource use type and the relative adaptation value of the land resource use type. This step takes the area factor into consideration so that the adaptation value can more comprehensively reflect the actual situation of land use.

[0084] Finally, the fitness value of each land resource use type in each land space use conflict coordination plan is calculated. This step combines the fitness values ​​of each land resource use type to obtain the overall score of the entire plan.

[0085] Preferably, in one embodiment of the present invention, the relative fitness value of the land resource use type is determined by a preset formula, wherein the fitness value weight is determined according to the importance of the land resource use type, and the preset formula includes parameters representing the intensity of land type conflict and the importance of use function. This preset formula is as follows:

[0086] Relative fitness value = fitness value weight * (1-land type conflict intensity) * importance of use function

[0087] Among them, the adaptation value weight, land type conflict intensity and use function importance are all values ​​between 0 and 1.

[0088] The land type conflict intensity is determined using a preset formula, which includes parameters representing a land type conflict spatial weight matrix, which describes the conflict relationship between other land resource use types adjacent to the land resource use type. For example, a simplified spatial weight matrix is ​​as follows:

[0089] Agriculture, Housing, Industry

[0090] Agriculture 0 0.5 0.8

[0091] Living 0.5 0 0.9

[0092] Industry 0.8 0.9 0

[0093] This matrix indicates that the conflict intensity between agricultural land and industrial land is 0.8, while the conflict intensity between agricultural land and residential land is 0.5.

[0094] In another embodiment of the present invention, the functional components include: food production areas, ecological protection areas, living areas, industrial areas, public service areas, waterfront green areas and abandoned areas, mountain protection areas, and scenic spots. These functional components cover the main functional areas in urban and regional planning and can fully reflect the land use situation in a region.

[0095] The calculation of the fitness value of the functional component is determined by a preset formula, which includes a parameter representing the spatial weight matrix of land type conflicts, whether the land resource use type belongs to the same functional component, the fitness value of the land resource use type, and the total area of ​​the land resource use type. This preset formula takes into account multiple factors and can comprehensively evaluate the performance of the functional component.

[0096] Preferably, in one embodiment of the present invention, the calculation process of the functional component fitness value comprises the following steps:

[0097] First, the land resource use conflict intensity is calculated according to the preset formula to obtain the land resource use type conflict matrix. This matrix reflects the degree of conflict between different land resource use types.

[0098] Secondly, the land resource use type adaptation value is calculated according to the preset formula to obtain the land resource use type adaptation value matrix. This matrix reflects the performance of each land resource use type in the current plan.

[0099] Then, nine land type conflict spatial weight matrices are set, which reflect the conflict relationship between land resource use types at different locations.

[0100] Next, starting from any of the land resource use types, according to the land conflict spatial weight matrix, the fitness values ​​of the other eight land resource use types are calculated according to a preset formula. This step takes into account the impact of spatial location on the fitness value of land resource use types.

[0101] Then, the above process is repeated until the remaining eight types of land resource use adaptation values ​​are calculated, which ensures that all land resource use types are taken into account.

[0102] Finally, after the fitness values ​​of the nine land resource use types are calculated, the fitness value matrices of the nine land resource use types are obtained respectively, and the fitness values ​​of the nine functional components are calculated according to the preset formula, and the functional component with the lowest fitness value is selected. This step completes the evaluation of the functional components and provides a basis for subsequent optimization.

[0103] The present invention also provides a land space use conflict coordination system based on multi-objective optimization, including:

[0104] The conflict coordination scheme setting module 1 is used to determine the land resource use type and determine the land space use conflict coordination scheme according to the number of land resource use types and the size of the area to be processed. This module is the starting point of the entire system and is responsible for the generation of the initial scheme.

[0105] The module 2 for preliminary setting of land space conflict coordination scheme is used to calculate the fitness value of each land space use conflict coordination scheme, and select the scheme with the highest fitness value as the first land space use conflict coordination scheme. This module is responsible for preliminary screening to find the most potential scheme.

[0106] The multi-objective optimization module 3 of the land space use conflict coordination scheme is used to calculate the fitness value of the functional component of each land resource use type in the first land space use conflict coordination scheme, and according to the fitness value of the functional component of each land resource use type, the functional component with the lowest fitness value among the functional components in the first land space use conflict coordination scheme is selected as the candidate functional component. This module is responsible for in-depth analysis of the optimal solution and finding out the weak links therein.

[0107] The land space use conflict optimization solution output module 4 is used to remove the candidate functional components from the first land space use conflict coordination solution to obtain a second land space use conflict coordination solution as the optimal land space use conflict coordination solution. This module is responsible for the generation and output of the final solution.

[0108] Preferably, in one embodiment of the present invention, the preliminary setting module 2 of the national land space conflict coordination scheme is specifically used for:

[0109] The basic model of the land resource use conflict coordination plan is constructed in a nine-square grid according to the ratio of the number of land resource use types of 1:1:1:1:1:1:1:1:1:1. This design is simple and effective, and provides a good starting point for the initial plan.

[0110] When the number of land resource use types exceeds the maximum capacity of the nine-square grid model, an additional nine-square grid with the same number of land resource use types as the nine-square grid model is determined according to the excess number M of land resource use types, thereby obtaining M+9 land space use conflict coordination solutions. This design increases the flexibility of the model, enabling it to handle more complex situations.

[0111] Adjust the area of ​​the nine lands of each of the land space use conflict coordination schemes so that the sum of the areas of each type of land resource use is the total area of ​​the area to be processed, and complete the setting of the multi-objective optimization land space use conflict coordination scheme. This step ensures the practicality of the scheme, so that it can accurately match the actual area of ​​the area to be processed. For example, for an area to be processed with a total area of ​​1,000 square kilometers, if there are 9 types of land resource use, each type is initially allocated approximately 111 square kilometers. Then, adjustments are made based on the actual needs and importance of each type, and the final allocation is: 300 square kilometers of agricultural land, 200 square kilometers of ecological protection land, 150 square kilometers of residential land, 100 square kilometers of industrial land, and so on.

[0112] In another embodiment of the present invention, the preliminary setting module 2 of the land space conflict coordination plan is also specifically used for:

[0113] First, according to the preset fitness value weight of each land resource use type, the fitness value of each land resource use type is calculated. The fitness value weight here reflects the relative importance of different land resource use types. For example, in an area dominated by industrial development, the weight of industrial land is set to 0.8, while in an area dominated by ecological protection, the weight of ecological protection land is set to 0.9. This weight setting can reflect the strategy and direction of regional development.

[0114] Secondly, according to the fitness value of each type of land resource use in the M+9 land space use conflict coordination schemes, the fitness value of each land space use conflict coordination scheme is calculated, and the land space use conflict coordination scheme with the highest fitness value is determined as the first land space use conflict coordination scheme. This step comprehensively considers the fitness values ​​of various land resource use types to obtain the overall score of the entire scheme. For example, if a scheme can meet the needs of economic development while protecting the ecological environment, it will obtain a higher overall fitness value.

[0115] Preferably, in one embodiment of the present invention, the land space use conflict optimization solution output module 4 is specifically used for:

[0116] First, the fitness value of each land resource use type is calculated according to a preset formula. This preset formula involves multiple factors, such as land use efficiency, environmental impact, economic benefits, etc. For example, for agricultural land, its fitness value will take into account factors such as soil quality, water availability, and distance from the market.

[0117] Secondly, the land resource use type fitness value is calculated according to the preset formula to obtain the land resource use type fitness value matrix. This matrix provides an intuitive way to compare the performance of different land resource use types. For example, a 5x5 matrix is ​​as follows:

[0118] Agriculture, housing, industry, ecology, public services

[0119] Agriculture 0.8 0.6 0.4 0.7 0.6

[0120] Residential 0.6 0.9 0.5 0.6 0.8

[0121] Industry 0.4 0.5 0.9 0.3 0.7

[0122] Ecology 0.7 0.6 0.3 1.0 0.8

[0123] Public 0.6 0.8 0.7 0.8 0.9

[0124] Then, nine land type conflict spatial weight matrices are set. These matrices reflect the conflict relationship between land resource use types at different locations. For example, in the central area of ​​the city, the conflict weight between residential land and industrial land is higher, such as 0.9, while in the suburbs, this weight is reduced to 0.6.

[0125] Next, starting from any of the land resource use types, the fitness values ​​of the other eight land resource use types are calculated according to the land conflict spatial weight matrix. This step takes into account the impact of spatial location on the fitness value of land resource use types. For example, if an industrial land is planned near a residential area, its fitness value will be reduced due to the high conflict weight.

[0126] Then, the above process is repeated until the remaining eight types of land resource use adaptation values ​​are calculated, which ensures that all types of land resource use are fully considered.

[0127] Finally, after the fitness values ​​of the nine land resource use types are calculated, the fitness value matrices of the nine land resource use types are obtained respectively. The fitness values ​​of the nine functional components are calculated according to the preset formula, and the functional component with the lowest fitness value is selected. This step completes the evaluation of the functional components and provides a basis for subsequent optimization. For example, if the fitness value of the "industrial area" functional component is the lowest, the system will suggest reducing the area of ​​the functional component or adjusting its position.

[0128] Beneficial effects of the present invention:

[0129] 1. Improve the scientificity and rationality of national land space planning. By introducing the concepts of multi-objective optimization and functional components, the present invention can more comprehensively and systematically evaluate and optimize the use of national land space, reduce the influence of subjective factors, and improve the scientificity of planning.

[0130] 2. Enhanced planning flexibility and adaptability. Through the nine-grid model and dynamic optimization method, the present invention can flexibly adjust the planning scheme according to actual conditions to meet planning requirements of different scales and types.

[0131] 3. Improved planning efficiency. The present invention greatly reduces manual workload through automated systems and algorithms, speeds up the planning process, and also reduces human errors.

[0132] 4. Promotes the integration of multidisciplinary knowledge. The present invention comprehensively utilizes knowledge from multiple disciplines such as geographic information systems, urban planning, environmental science, ecology, computer science, and operations research, reflecting the comprehensive characteristics of modern planning.

[0133] 5. Provides for large-scale regional planning. Through the scalable nine-square grid model and systematic optimization process, the present invention can handle complex large-scale regional planning problems.

[0134] 6. It helps to resolve conflicts in land use. By considering the conflict intensity and spatial relationship of land types, the present invention can better coordinate the conflicts between different land uses and promote the rational use of land resources.

[0135] In general, the present invention provides an innovative land use conflict coordination method and system, which can not only improve the scientificity and efficiency of land use planning, but also provide new ideas and tools for solving complex land use conflict problems.

[0136] It should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A land space use conflict coordination method based on multi-objective optimization, characterized by: The following steps are involved: First, determine the type of land resource use in the area to be treated; Secondly, according to the number of land resource use types and the size of the area to be processed, a variety of land space use conflict coordination plans are constructed; Next, the fitness value of each of the land space use conflict coordination schemes is calculated, and the scheme with the highest fitness value is selected as the first land space use conflict coordination scheme; Then, calculating the adaptation value of the functional component of each of the land resource use types in the first land space use conflict coordination plan; Subsequently, according to the fitness value of the functional component of each of the land resource use types, the functional component with the lowest fitness value in the first land space use conflict coordination plan is determined as the candidate functional component; Finally, all land resource use types of the candidate functional components are removed from the first land use conflict coordination plan to obtain a second land use conflict coordination plan, which is used as the optimal land use conflict coordination plan.

2. The method according to claim 1, characterized in that The steps of constructing a multi-territorial space use conflict coordination plan specifically include: Firstly, a basic model of land resource use conflict coordination scheme with a nine-square grid was constructed according to the ratio of 1:1:1:1:1:1:1:1:1:1:1 of the types of land resource use. Secondly, when the number of any of the land resource use types exceeds the maximum capacity of the nine-square grid model, an additional nine-square grid with the same number as the nine-square grid model is determined according to the excess number M of the land resource use types, thereby obtaining M+9 land space use conflict coordination schemes of the basic model; Finally, the areas of the nine lands in each of the land space use conflict coordination plans are adjusted so that the sum of the areas of each type of land resource use is equal to the total area of ​​the area to be processed, thereby completing the setting of the multi-objective optimization land space use conflict coordination plan.

3. The method according to claim 1, characterized in that The step of calculating the fitness value of each land space use conflict coordination scheme specifically includes: Firstly, according to the preset fitness value weight of each land resource use type, the fitness value of each land resource use type is calculated; Secondly, the relative adaptability value of the land resource use type is calculated according to the land use conflict intensity and the importance of the use function of the land resource use type; Then, according to the land area occupied by the land resource use type and the relative adaptability value of the land resource use type, the adaptability value of each land resource use type is calculated; Finally, the adaptation value of each of the land space use conflict coordination schemes is calculated based on the adaptation value of each of the land resource use types in each of the land space use conflict coordination schemes.

4. The method according to claim 3, characterized in that The relative fitness value of the land resource use type is determined by a preset formula, wherein the fitness value weight is determined according to the importance of the land resource use type, and the preset formula includes parameters representing the intensity of land type conflict and the importance of use function; The land type conflict intensity is determined using a preset formula, which includes parameters representing a land type conflict spatial weight matrix, and the spatial weight matrix describes the conflict relationship between other land resource use types adjacent to the land resource use type.

5. The method according to claim 1, characterized in that The functional components include: food production areas, ecological protection areas, living areas, industrial areas, public service areas, waterfront green areas and abandoned areas, mountain protection areas, and scenic spots; The calculation of the fitness value of the functional component is determined by a preset formula, which includes parameters representing the spatial weight matrix of land type conflicts, whether the land resource use types belong to the same functional component, the fitness value of the land resource use type, and the total area of ​​the land resource use type.

6. The method according to claim 5, characterized in that The calculation process of the functional component fitness value The following steps are involved: Firstly, the land resource use conflict intensity is calculated according to the preset formula to obtain the land resource use type conflict matrix; Secondly, the land resource use type adaptation value is calculated according to the preset formula to obtain the land resource use type adaptation value matrix; Then, the spatial weight matrix of nine land type conflicts was set; Next, starting from any of the land resource use types, according to the land conflict spatial weight matrix, the adaptation values ​​of the other eight land resource use types are calculated according to a preset formula; Then, the above process is repeated until the adaptation values ​​of the remaining eight types of land resource use are calculated; Finally, after the fitness values ​​of the nine land resource use types are calculated, the fitness value matrices corresponding to the nine land resource use types are obtained respectively, and the fitness values ​​of the nine functional components are calculated according to the preset formula to screen out the functional component with the lowest fitness value.

7. A land space use conflict coordination system based on multi-objective optimization that implements the method described in any one of claims 1 to 6, characterized in that: include: A conflict coordination scheme setting module is used to determine the land resource use type and determine the land space use conflict coordination scheme according to the number of land resource use types and the size of the area to be processed; A preliminary setting module for land space conflict coordination schemes is used to calculate the fitness value of each land space use conflict coordination scheme, and select the scheme with the highest fitness value as the first land space use conflict coordination scheme; The multi-objective optimization module of the land space use conflict coordination scheme is used to calculate the fitness value of the functional component of each land resource use type in the first land space use conflict coordination scheme, and according to the fitness value of the functional component of each land resource use type, the functional component with the lowest fitness value among the functional components in the first land space use conflict coordination scheme is used as the candidate functional component; The land and space use conflict optimization plan output module is used to remove the candidate functional components in the first land and space use conflict coordination plan to obtain a second land and space use conflict coordination plan as the optimal land and space use conflict coordination plan.

8. The system according to claim 7, characterized in that The preliminary setting module of the national land space conflict coordination plan is specifically used for: According to the ratio of 1:1:1:1:1:1:1:1:1:1:1 of the types of land resource use, a basic model of land resource use conflict coordination scheme with a nine-square grid was constructed; When the number of land resource use types exceeds the maximum capacity of the nine-square grid model, an additional nine-square grid with the same number of land resource use types as the nine-square grid model is determined according to the excess number M of land resource use types, thereby obtaining M+9 land space use conflict coordination plans; Adjust the areas of the nine lands in each of the land space use conflict coordination plans so that the sum of the areas of each type of land resource use is the total area of ​​the area to be processed, and complete the setting of the multi-objective optimization land space use conflict coordination plan.

9. The system according to claim 7, characterized in that The preliminary setting module of the national land space conflict coordination plan is also specifically used for: Calculate the adaptation value of each type of land resource use according to the preset adaptation value weight of each type of land resource use; According to the fitness value of each of the land resource use types in the M+9 land space use conflict coordination schemes, the fitness value of each of the land space use conflict coordination schemes is calculated, and the land space use conflict coordination scheme with the highest fitness value is determined as the first land space use conflict coordination scheme.

10. The system according to claim 7, characterized in that The land space use conflict optimization plan output module is specifically used for: Calculate the adaptation value of each land resource use type according to a preset formula; Calculate the land resource use type adaptation value according to a preset formula to obtain the land resource use type adaptation value matrix; Setting the spatial weight matrix of conflicts among the nine land types; Starting from any of the land resource use types, according to the land conflict spatial weight matrix, the adaptation values ​​of the other eight land resource use types are calculated; Repeat the above process until the adaptation values ​​of the remaining eight types of land resource use are calculated; When the calculation of the adaptation values ​​of the nine land resource use types is completed, the nine land resource use type adaptation value matrices are obtained respectively; The fitness values ​​of the nine functional components are calculated according to a preset formula, and the functional component with the lowest fitness value is screened out.

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