Urban composite function green infrastructure network construction method and device and medium

Abstract

The invention discloses an urban composite function green infrastructure network construction method and device and a medium, and can be applied to the technical field of ecological planning construction and optimization. According to the invention, after the first ecological source land and the first recreation source land constructed by the ecological green infrastructure network, and the ecological resistance surface and the recreation resistance surface are extracted according to the research database, the ecological green infrastructure network and the recreation green infrastructure network are constructed; integrating the ecological green infrastructure network and the recreation green infrastructure network to obtain a to-be-evaluated composite function green infrastructure network, and evaluating the to-be-evaluated composite function green infrastructure network to obtain a target composite function green infrastructure network; the method not only provides a new thought for construction and optimization of a current green infrastructure network, but also can effectively promote optimal configuration of green infrastructures under a city scale, and provides practical and effective scientific and technological support for development of territorial space ecological construction in highly-urbanized regions.

Description

Technical Field

[0001] The present application relates to the field of ecological planning, construction and optimization technology, and in particular to a method, device and medium for constructing a green infrastructure network with multiple functions in an urban area. Background Art

[0002] In related technologies, green infrastructure provides a shared, fundamental spatial framework for urban development and ecological protection. It primarily uses a unique network of spaces to reorganize habitats that have become relatively isolated due to urban expansion, thereby connecting fragmented patches and reducing barriers to species migration. At the same time, the overall, stable green infrastructure network formed through systemic connections can, to a certain extent, meet humanity's growing demand for green space. Therefore, in cities where space is limited and green space is under constant development pressure, building a green infrastructure network is an important landscape security measure to enhance urban ecological resilience and sustainable development capabilities. Currently, the construction of green infrastructure networks is mostly based on a single ecological function. However, with the rapid development of cities, green infrastructure is no longer limited to green ecological functional services. It also carries functional services such as promoting leisure and recreation and protecting historical and cultural resources. This makes the green infrastructure network constructed using existing green infrastructure network construction methods unable to effectively solve the ecological and environmental problems brought about by urban development.

[0003] In summary, the technical problems existing in the relevant technologies need to be improved. Summary of the Invention

[0004] The main purpose of the embodiments of the present application is to propose a method, device and medium for constructing a city's multi-functional green infrastructure network, which can effectively solve the ecological and environmental problems brought about by urban development.

[0005] To achieve the above objectives, one aspect of the present invention provides a method for constructing a green infrastructure network with multiple functions in an urban area. The method comprises the following steps:

[0006] Access to research databases for constructing composite green infrastructure networks;

[0007] extracting a first ecological source for constructing an ecological green infrastructure network based on the research database;

[0008] extracting the first recreation source site constructed from the recreation green infrastructure network based on the research database;

[0009] Constructing ecological resistance surfaces and recreational resistance surfaces based on the research database;

[0010] constructing an ecological green infrastructure network based on the first ecological source area and the ecological resistance surface;

[0011] constructing a recreation green infrastructure network based on the first recreation source and the recreation resistance surface;

[0012] Integrate the ecological green infrastructure network and the recreational green infrastructure network to obtain a composite functional green infrastructure network to be evaluated;

[0013] The composite functional green infrastructure network to be evaluated is evaluated to obtain a target composite functional green infrastructure network.

[0014] In some embodiments, obtaining a research database for constructing a composite green infrastructure network includes:

[0015] Obtaining a basic database for constructing a composite green infrastructure network, wherein the data in the basic database includes land use data, natural environment data, and socio-economic and cultural tourism data. The land use data includes land use types of the target area. The natural environment data includes elevation data, morphological spatial pattern analysis landscape types, slope data, and vegetation cover data of the target area. The socio-economic and cultural tourism data includes road network data, geographic points of interest data, Baidu trend data, and Dianping data of the target area.

[0016] The data in the basic database is preprocessed to obtain the research database.

[0017] In some embodiments, extracting the first ecological source for constructing the ecological green infrastructure network according to the research database includes:

[0018] Woodland, grassland, wetland and water body are set as foreground, and the land use data is binarized;

[0019] The morphological spatial pattern analysis of the binarized data was performed to obtain several overlapping types of landscape elements, including core areas, bridge areas, edge areas, pores, islands, loop areas and branches;

[0020] Taking the core area as the alternative ecological source, the area ranking method is used to analyze the contribution ratio of the patch area of ​​the alternative ecological source to the total area of ​​the regional green infrastructure space;

[0021] Preliminary screening of the candidate ecological source areas is performed based on the contribution ratio relationship;

[0022] Calculate the patch connectivity index of the candidate ecological source sites after initial screening;

[0023] According to the patch connectivity index, a target ecological source for the construction of the ecological green infrastructure network is determined as the first ecological source.

[0024] In some embodiments, extracting the first recreation source site constructed from the recreation green infrastructure network according to the research database includes:

[0025] Performing point density analysis on the geographic interest point data to obtain first analysis data;

[0026] Performing integrated analysis on the Baidu thermal data to obtain second analysis data;

[0027] Matching the first analysis data with the second analysis data to obtain target patches, wherein the target patches include patches with basic landscape recreation service facilities and high spatial vitality;

[0028] Conducting intersection analysis between the target patch and the green infrastructure space within the target area to obtain alternative recreational sources;

[0029] Based on the Dianping data, the alternative recreation source with a higher score is determined as the first recreation source using a natural discontinuity grading method.

[0030] In some embodiments, constructing an ecological resistance surface and a recreational resistance surface based on the research database includes:

[0031] Obtain comprehensive status information of the target area;

[0032] Constructing a set of ecological resistance factors based on the research database;

[0033] Constructing the ecological resistance surface based on the comprehensive status information of the target area and the set of ecological resistance factors;

[0034] Determining accessibility of residents to the first recreation source and between the first recreation sources based on the comprehensive status information of the target area;

[0035] constructing a set of recreational resistance factors based on the research database;

[0036] The recreation resistance surface is constructed based on the accessibility and the recreation resistance factor set.

[0037] In some embodiments, the ecological green infrastructure network and the recreational green infrastructure network are integrated to obtain a composite functional green infrastructure network to be evaluated, including:

[0038] Performing functional identification on the first ecological source area and the first recreational source area to obtain first patches with the same function and second patches with different functions;

[0039] Connecting the first patch and the second patch to obtain a green infrastructure composite corridor;

[0040] The green infrastructure composite corridor, the ecological green infrastructure network and the recreational green infrastructure network are integrated to obtain a composite functional green infrastructure network to be evaluated.

[0041] In some embodiments, evaluating the to-be-evaluated composite functional green infrastructure network to obtain a target composite functional green infrastructure network includes:

[0042] The random walk model is used to simulate the ecological flow distribution under the construction scenario of the ecological green infrastructure network and the recreational green infrastructure network to obtain a first simulation result; and the ecological flow distribution under the construction scenario of the composite functional green infrastructure network to be evaluated is simulated to obtain a second simulation result;

[0043] Analyze the differences between the ecological green infrastructure network, the recreational green infrastructure network, and the composite functional green infrastructure network to be evaluated based on the first simulation result and the second simulation result;

[0044] The target composite functional green infrastructure network is determined from the composite functional green infrastructure networks to be evaluated according to the differences.

[0045] To achieve the above objectives, another aspect of the present application provides a device for constructing a city's multi-functional green infrastructure network, the device comprising:

[0046] The first module is used to obtain research databases for building composite green infrastructure networks;

[0047] The second module is used to extract the first ecological source site for constructing the ecological green infrastructure network based on the research database;

[0048] The third module is used to extract the first recreation source site for constructing the recreation green infrastructure network based on the research database;

[0049] The fourth module is used to construct an ecological resistance surface and a recreational resistance surface based on the research database;

[0050] A fifth module is used to construct an ecological green infrastructure network based on the first ecological source area and the ecological resistance surface;

[0051] A sixth module is used to construct a recreation green infrastructure network based on the first recreation source and the recreation resistance surface;

[0052] The seventh module is used to integrate the ecological green infrastructure network and the recreational green infrastructure network to obtain a composite functional green infrastructure network to be evaluated;

[0053] The eighth module is used to evaluate the composite functional green infrastructure network to be evaluated to obtain a target composite functional green infrastructure network.

[0054] To achieve the above objectives, another aspect of the present application provides a computer device, including:

[0055] at least one processor;

[0056] at least one memory for storing at least one program;

[0057] When the at least one program is executed by the at least one processor, the at least one processor implements the above method.

[0058] To achieve the above-mentioned purpose, another aspect of an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program implements the above-mentioned method when executed by a processor.

[0059] The embodiments of the present application include at least the following beneficial effects: The present application provides a method, device and medium for constructing a city's composite functional green infrastructure network. The scheme obtains a research database for constructing a composite green infrastructure network, extracts the first ecological source and the first recreation source for constructing the ecological green infrastructure network according to the research database, and constructs the ecological resistance surface and the recreation resistance surface according to the research database. Then, the ecological green infrastructure network is constructed according to the first ecological source and the ecological resistance surface, and the recreation green infrastructure network is constructed according to the first recreation source and the recreation resistance surface. After the ecological green infrastructure network and the recreation green infrastructure network are integrated to obtain a composite functional green infrastructure network to be evaluated, the composite functional green infrastructure network to be evaluated is evaluated to obtain a target composite functional green infrastructure network. Therefore, in the actual process, the network constructed based on the target composite functional green infrastructure network can simultaneously provide green ecological functional services and carry functional services that promote leisure and recreation and protect historical and cultural resources. It not only provides new ideas for the current construction and optimization of green infrastructure networks, but also can effectively promote the optimal configuration of green infrastructure at the urban scale, provide practical and effective scientific and technological support for the ecological construction of land space in highly urbanized areas, and effectively solve the ecological and environmental problems brought about by urban development. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 This is a flow chart of a method for constructing a city's multi-functional green infrastructure network provided by an embodiment of the present application;

[0061] Figure 2 This is a schematic diagram of a method for constructing a municipal composite green infrastructure network based on the "ecological-recreation" multifunctional coupling provided in an embodiment of the present application;

[0062] Figure 3 This is an ecological green infrastructure network diagram corresponding to the method for constructing a municipal composite green infrastructure network based on the "ecological-recreation" multifunctional coupling provided in an embodiment of the present application;

[0063] Figure 4 This is a recreational green infrastructure network diagram corresponding to the method for constructing a municipal composite green infrastructure network based on the "ecological-recreation" multifunctional coupling provided in an embodiment of the present application;

[0064] Figure 5 This is a network diagram of a composite functional green infrastructure to be evaluated corresponding to the method for constructing a municipal composite green infrastructure network based on the "ecological-recreation" multifunctional coupling provided in an embodiment of the present application;

[0065] Figure 6 This is a green infrastructure network function evaluation result diagram corresponding to the method for constructing a municipal composite green infrastructure network based on the "ecology-recreation" multifunctional coupling provided in an embodiment of the present application;

[0066] Figure 7 It is a structural diagram of the urban multi-functional green infrastructure network construction device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0067] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of the present application. They are merely examples of devices and methods consistent with some aspects of the embodiments of the present application.

[0068] It will be understood that the terms "first", "second", etc. used in this application may be used herein to describe various concepts, but unless otherwise specified, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, without departing from the scope of the embodiments of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0069] The terms "at least one", "plurality", "each", "any", etc. used in this application include "at least one", "two" or more, "plurality" or "each", "any" or "any one", "each" or "any one" in the context of the present invention, and "at least one" or "at least one" includes one, two or more, "plurality" or "any one" includes two or more, "each" or "each one" in the context of the present invention, and "any" or "any one" in the context of the present invention.

[0070] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application pertains. The terms used herein are for the purpose of describing the embodiments of this application only and are not intended to limit this application.

[0071] Green infrastructure, as a related technology, provides a shared, fundamental spatial framework for urban development and ecological protection. It primarily reorganizes habitats that have become relatively isolated due to urban expansion through a unique network of spaces, thereby connecting fragmented patches and reducing barriers to species migration. Furthermore, the integrated and stable green infrastructure network formed through systematic connections can, to a certain extent, meet the growing demand for green space. Therefore, in cities where space is limited and green space is under constant development pressure, building a green infrastructure network is a crucial landscape security measure to enhance urban ecological resilience and sustainable development capabilities.

[0072] Systematic research has been conducted on the construction of green infrastructure networks at various scales, including urban agglomerations, cities and counties, and central urban areas. With the accumulation of a large body of relevant research, the green infrastructure network construction model based on the fundamental ecological theory of "patch-corridor-matrix" has been widely accepted by scholars, forming a relatively consistent research paradigm of "source identification - resistance surface construction - corridor extraction - key point identification - network construction." This extensive research has provided a relatively mature research model and operational process for the construction of green infrastructure networks and has also verified their effectiveness in alleviating the conflict between urban expansion and ecological protection. However, existing research has largely focused on constructing green infrastructure networks from a single ecological function perspective to improve urban patterns. However, with the limited land resources and the increasing cost of land brought about by urban development, the concept of green infrastructure has expanded beyond green ecological services to encompass functions such as promoting leisure and recreation and protecting historical and cultural resources. If green infrastructure networks continue to focus solely on a single ecological function, it will not only fail to alleviate the ecological and environmental problems caused by urban development, but may even exacerbate the failure of urban functional systems and imbalances in land use and spatial morphology, failing to effectively address the ecological and environmental issues brought about by urban development.

[0073] In view of this, the embodiments of the present application provide a method, device and medium for constructing a city's multi-functional green infrastructure network, which not only provides new ideas for the current construction and optimization of green infrastructure networks, but also can effectively promote the optimal configuration of green infrastructure at the urban scale, provide practical and effective scientific and technological support for the development of land space ecological construction in highly urbanized areas, and effectively solve the ecological and environmental problems brought about by urban development.

[0074] The method for constructing a green infrastructure network with complex urban functions provided in the embodiment of the present application relates to the field of ecological planning, construction and optimization technology. The method for constructing a green infrastructure network with complex urban functions provided in the embodiment of the present application can be applied to a terminal, can be applied to a server, or can be software running in a terminal or a server. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, and a car terminal, etc., but is not limited to this; the server side can be configured as an independent physical server, or as a server cluster or distributed system composed of multiple physical servers, or as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The server can also be a node server in a blockchain network; the software can be an application that implements the method for constructing a green infrastructure network with complex urban functions, etc., but is not limited to the above forms.

[0075] The following is a detailed description of the embodiments of the present application with reference to the accompanying drawings:

[0076] Figure 1 This is an optional flowchart of the method for constructing a city's multi-functional green infrastructure network provided in an embodiment of the present application. Figure 1 The method may include but is not limited to steps S110 to S180:

[0077] Step S110: Acquire a research database for constructing a composite green infrastructure network;

[0078] Step S120: extracting a first ecological source for constructing an ecological green infrastructure network according to a research database;

[0079] Step S130: extracting the first recreation source area constructed by the recreation green infrastructure network according to the research database;

[0080] Step S140: constructing an ecological resistance surface and a recreational resistance surface based on the research database;

[0081] Step S150: constructing an ecological green infrastructure network based on the first ecological source area and the ecological resistance surface;

[0082] Step S160: constructing a recreation green infrastructure network based on the first recreation source and the recreation resistance surface;

[0083] Step S170: Integrate the ecological green infrastructure network and the recreational green infrastructure network to obtain a composite functional green infrastructure network to be evaluated;

[0084] Step S180: Evaluate the composite functional green infrastructure network to be evaluated to obtain a target composite functional green infrastructure network.

[0085] It is understandable that this embodiment can obtain a research database by pre-processing the data in the basic database after obtaining the basic database for constructing the composite green infrastructure network. Among them, the data in the basic database include but are not limited to land use data, natural environment data, and social economy and cultural tourism data. The land use data include but are not limited to the land use type of the object area, the natural environment data include but are not limited to the elevation data of the object area, the morphological spatial pattern analysis (POI, Point of Interest) landscape type, slope data and vegetation cover data, and the social economy and cultural tourism data include but are not limited to the road network data of the object area, geographic interest point data, Baidu heat data and Dianping data. The pre-processing process of this embodiment can use projection transformation, spatial correction, geographic alignment, clipping and other means to frequently process the data in the basic database so that the coordinate system of the processed data is consistent, and the data with consistent coordinates are subjected to a grid resolution unification operation.

[0086] It is understood that the process of extracting the first ecological source for constructing the ecological green infrastructure network from the research database in this embodiment includes, but is not limited to, the following steps:

[0087] Set woodlands, grasslands, wetlands and water bodies as foregrounds and perform binarization on land use data;

[0088] Performing morphological spatial pattern analysis on the binarized data to obtain several overlapping types of landscape elements, including but not limited to core areas, bridge areas, edge areas, gaps, islands, loop areas, and branches;

[0089] Taking the core area as the alternative ecological source, the area ranking method is used to analyze the contribution ratio of the patch area of ​​the alternative ecological source to the total area of ​​the regional green infrastructure space;

[0090] Conduct preliminary screening of candidate ecological source areas based on contribution ratios;

[0091] Calculate the patch connectivity index of the candidate ecological source sites after initial screening;

[0092] According to the patch connectivity index, the target ecological source for the construction of the ecological green infrastructure network is determined as the first ecological source.

[0093] Specifically, this embodiment performs binarization on the land use data of the target area, sets woodlands, grasslands, wetlands, and water bodies as the foreground, and uses the eight-neighborhood image refinement tool in the Guidos Toolbox software to perform morphological spatial pattern analysis (MSPA) on the data. This results in seven non-overlapping landscape elements: core areas, bridge areas, edge areas, pores, islands, loop areas, and branches. The core areas are selected as candidate ecological sources. The area ranking method is used to analyze the relationship between the patch area of ​​the candidate ecological source and its contribution to the total area of ​​the regional green infrastructure space. The inflection point of declining contribution is used as the minimum source area threshold, which serves as the basis for the initial screening of the candidate sources. The Conefer 26 software is used to calculate the patch connectivity index (dPC) of the candidate ecological sources after the initial screening. The dPC calculation results are divided into five levels using the natural break method, thereby obtaining the target ecological source for the construction of the ecological green infrastructure network as the first ecological source. Among them, the high dPC grade patches are the first-level ecological source areas finally extracted, and the higher dPC grade patches are the second-level ecological source areas.

[0094] It is understood that the process of extracting the first recreation source site for constructing the recreation green infrastructure network from the research database in this embodiment includes, but is not limited to, the following steps:

[0095] Performing point density analysis on the geographic interest point data to obtain first analysis data;

[0096] Conduct integrated analysis on Baidu thermal data to obtain the second analysis data;

[0097] Matching the first analysis data with the second analysis data to obtain target patches, wherein the target patches include patches with basic landscape recreation service facilities and high spatial vitality;

[0098] Intersection analysis is performed between the target patch and the green infrastructure space within the target area to obtain alternative recreational sources;

[0099] Based on the Dianping data, the natural discontinuity grading method is used to determine the alternative recreation source with a higher score as the first recreation source.

[0100] Specifically, this embodiment first crawls the landscape and recreation service facility POI data within the target area, as well as Baidu heat data for each hour between 6am and 10pm on a certain holiday. Secondly, a point density analysis is performed on the landscape and recreation service facility POI data to obtain the first analysis data. The crawled Baidu heat data for each hour is then integrated and analyzed to obtain the second analysis data. The first and second analysis data are matched to identify patches with "high landscape and recreation service facility infrastructure and high spatial vitality" as target patches. The target patches are then intersected with the green infrastructure space within the target area to extract candidate recreation sources. Finally, based on the review scores of Dianping data, the Dianping data is visualized using the Kriging interpolation method and graded using the natural breaks method. The alternative recreation sources with high-scoring patches are extracted as the first recreation sources. High-scoring areas are classified as first-level recreation sources, while areas with relatively high scores are classified as second-level recreation sources.

[0101] It is understood that the process of constructing the ecological resistance surface and the recreational resistance surface based on the research database in this embodiment includes, but is not limited to, the following steps:

[0102] Obtain comprehensive status information of the target area;

[0103] Constructing a set of ecological resistance factors based on the research database;

[0104] Construct an ecological resistance surface based on the comprehensive status information of the target area and the set of ecological resistance factors;

[0105] Determine the accessibility of residents to the primary recreation source and between each primary recreation source based on the comprehensive status information of the target area;

[0106] Construct a set of recreational resistance factors based on the research database;

[0107] Constructs a recreational resistance surface based on accessibility and a set of recreational resistance factors.

[0108] Specifically, the construction of the ecological resistance surface takes into account the comprehensive status of the target area and focuses on the ecological importance of the landscape. Factors such as land use type, MSPA landscape type, elevation, slope, vegetation cover, distance to roads, and nighttime light index from the research database are selected to construct an ecological resistance factor set. A resistance factor classification, score, and resistance coefficient standard are proposed. Reclassification analysis is used to assign values ​​to each factor. The CRITIC method is used to assess the weight of each resistance factor, and then the weighted superposition of these factors is used to form a comprehensive ecological resistance surface. The construction of the recreational resistance surface requires considering the actual situation of the target area and focusing on the accessibility of residents to and between primary recreational sources. Factors such as land use type, elevation, slope, terrain relief, distance to roads, density of basic service facilities, density of landscape resources, and visual quality from the research database are selected to construct a recreational resistance factor set. A resistance factor classification, score, and resistance coefficient standard are proposed. Reclassification analysis is used to assign values ​​to each factor. The CRITIC method is used to assess the weight of each resistance factor, and then the weighted superposition of these resistance factors is used to form a comprehensive recreational resistance surface.

[0109] It is understandable that this embodiment can construct an ecological green infrastructure network based on the first ecological source and ecological resistance surface, and construct a recreational green infrastructure network based on the first recreational source and recreational resistance surface. Specifically, based on the construction results of the source and resistance surface, this embodiment follows the principle of minimum resistance and uses the Linkage Mapper tool to extract ecological and recreational corridors. The Pinchpoint Mapper module is used to select the "all to one" mode for iterative calculations to identify ecological and recreational pinch points. The Barriers Mapper module is used to select the "Maximum" mode for iterative calculations to identify ecological barrier points and recreational barrier points. Then, network elements such as sources, corridors, and nodes are coordinated to construct an ecological green infrastructure network and a recreational green infrastructure network. Among them, in the application process of the embodiment of the present application, the Linkage Mapper tool mainly uses the circuit connectivity model to calculate the various low-resistance and low-obstacle corridors (corridors) for the flow of elements between source areas, uses the Pinchpoint Mapper module to identify the areas where the elements have a high probability or possibility of passing through the corridor migration and have no alternative path (pinch point identification), and uses the Barri er Mapper module to identify the areas where the elements are easily obstructed during the corridor migration process (obstacle point identification). Specifically, node identification mainly includes pinch point and obstacle point identification. The identification of pinch point and obstacle point areas mainly uses the natural break grading method to grade the node results (pinch points and obstacle points) identified by the Pinchpoint Mapper module and the Barri er Mapper module, and extracts the highest grade areas as pinch point and obstacle point areas.

[0110] It is understood that after obtaining the ecological green infrastructure network and recreational green infrastructure network with single functions, this embodiment integrates various green infrastructure networks with different functions to obtain the composite functional green infrastructure network to be evaluated. The integration process of this embodiment includes but is not limited to the following steps:

[0111] Functional identification is performed on the first ecological source area and the first recreational source area to obtain first patches with the same function and second patches with different functions;

[0112] Connecting the first patch and the second patch to obtain a green infrastructure composite corridor;

[0113] The green infrastructure composite corridor, ecological green infrastructure network and recreational green infrastructure network are integrated to obtain the composite functional green infrastructure network to be evaluated.

[0114] Specifically, this embodiment first integrates source areas with different functions, identifies and extracts patches with overlapping functions as the first patches, and then regards the overlapping patches as the first-level source areas of the green infrastructure composite network, and the single-function source areas (second patches) as the second-level source areas; secondly, the resistance surface of the ecological green infrastructure network is combined with the resistance surface of the recreational green infrastructure network using the minimum value method, and superimposed to obtain a comprehensive landscape resistance surface; then, the Linkage Mapper software is used to connect the composite function source areas and the single function source areas (domain regulation is 1) to generate a green infrastructure composite corridor; finally, the ecological green infrastructure network, the recreational green infrastructure network, and the green infrastructure composite corridor are integrated to construct a green infrastructure composite network as the composite function green infrastructure network to be evaluated.

[0115] It is understood that after obtaining the composite green infrastructure network to be evaluated, this embodiment evaluates the composite green infrastructure network to be evaluated. This evaluation can be performed by comparing and analyzing the ecological green infrastructure network, the recreational green infrastructure network, and the composite green infrastructure network from both functional and structural perspectives, to determine whether the composite green infrastructure network to be evaluated has achieved its functional objectives, as well as the rationality of its network structure and its functional efficiency.

[0116] Specifically, the evaluation process of this embodiment includes but is not limited to the following steps:

[0117] The random walk model was used to simulate the distribution of ecological flows under the construction scenarios of the ecological green infrastructure network and the recreational green infrastructure network, obtaining the first simulation result; and the distribution of ecological flows under the construction scenario of the composite functional green infrastructure network to be evaluated was simulated, obtaining the second simulation result;

[0118] Based on the first and second simulation results, the differences between the ecological green infrastructure network and the recreational green infrastructure network and the composite functional green infrastructure network to be evaluated are analyzed;

[0119] Based on the differences, the target composite functional green infrastructure network is determined from the composite functional green infrastructure networks to be evaluated.

[0120] In the embodiment of the present application, when evaluating a composite green infrastructure network, a structural evaluation of the network may also be performed. The structural evaluation process may utilize a structural index and a cost ratio index to evaluate the network connectivity of each single-function green infrastructure network and the composite green infrastructure network.

[0121] Based on the above process, it can be seen that the complete process of evaluating the composite function green infrastructure network to be evaluated in this embodiment includes the following steps:

[0122] Functional evaluation of the composite green infrastructure network to be evaluated based on the random walk model. First, landscape resistance surface and source data are obtained. Since the functional evaluation of the composite green infrastructure network aims to clarify the achievement of ecological flow movement goals through network construction, the ecological resistance surface in the ecological green infrastructure network construction is used as the landscape resistance surface for the functional evaluation of the landscape green infrastructure network. Based on this, corridors extracted from each single-function green infrastructure network and the composite green infrastructure network are set with lower resistance values, while areas outside the corridors are assigned the highest resistance values. Using the minimum value overlay analysis method, the ecological resistance surface and the corridor resistance surface are superimposed to obtain a comprehensive landscape resistance surface for evaluating the functional characteristics of the ecological / recreational / composite green infrastructure network. The source data has already identified the single-function and composite-function sources during the construction of the composite green infrastructure network. Secondly, based on the landscape resistance surface and source data, Circuitscape software was used to test the target area in scenarios without building a composite green infrastructure network (each single-function green infrastructure network) and with building a composite green infrastructure network. Finally, the functional simulation results of each single-function green infrastructure network and the composite green infrastructure network were compared to clarify whether the construction of the composite green infrastructure network can better achieve the expected ecological function flow goals.

[0123] Structural evaluation of the composite green infrastructure network to be evaluated based on structural indices. Based on the extracted corridor and source data, the α index, β index, γ index, and cost ratio of each single-function and composite green infrastructure network are calculated, and then the structural status of each single-function and composite green infrastructure network is compared and analyzed.

[0124] Specifically, among the four indices involved in the structural evaluation process, namely the α index, β index, γ index, and cost ratio, the α index is the network closure, that is, the probability of loops appearing in the network. The more loops appear, the higher the overall connectivity of the network. The value range is [0-1], and the calculation formula is shown in Formula 1; the β index is the network line point rate, that is, the number of lines corresponding to nodes in the network, which represents the complexity of the network structure. The value range is [0-3]. The larger the value, the higher the degree of network perfection. The calculation formula is shown in Formula 2; the γ index is the network connectivity. The value range is [0-1]. The larger the value, the more connected the nodes in the network are. The calculation formula is shown in Formula 3; the cost ratio is the relationship between the input and output of network construction. The value range is [0-1]. The larger the value, the higher the cost of network construction. The calculation formula is shown in Formula 4:

[0125] α=(l-v+1) / (2 l+5) Formula 1;

[0126] β=l / v Formula 2;

[0127] γ=1 / 3(v-2) Formula 3;

[0128] C = 1 - l / d Formula 4;

[0129] In the above formula, l is the number of corridors in the network, and v is the number of nodes in the network.

[0130] In some embodiments, taking Guangzhou City, Guangdong Province as an example, Guangzhou City is located in the southern part of China, in the central and southern part of Guangdong Province. As of October 2023, Guangzhou City has 11 districts under its jurisdiction, with a total area of ​​7434.40 km 2 Guangzhou's permanent urban population has increased from 5.5329 million in 1986 to 18.8270 million in 2023, and its urbanization rate has also increased from 45.5% in 1986 to 86.76% in 2023. However, with the advancement of rapid urbanization, the green spaces in Guangzhou's central urban area, suburbs and remote suburbs have been strongly disturbed by human activities. Problems such as reduced vegetation coverage and fragmented forest landscapes have made the contradiction between people and land more prominent. In this context, it is urgent to make full use of and protect the existing green infrastructure in urban areas, and to scientifically protect and plan Guangzhou's green infrastructure network to fill the "breakpoints and disconnections", ensure the quality of the human living environment, and alleviate the contradiction between urban expansion and ecological environmental protection.

[0131] like Figure 2 As shown, the method for constructing a city-wide composite green infrastructure network based on the "ecology-recreation" multifunctional coupling for the above scenario in this embodiment includes, but is not limited to, the following steps:

[0132] Step 1: Obtain research data. The research data mainly uses Guangzhou's 2023 30m resolution land use data, 30m resolution elevation data, 30m resolution vegetation coverage data, November 2023 road network data, 2023 Guangzhou POI data, Baidu heat data from 6:00-22:00 on August 12, 2023 (Sunday), and 2023 Guangzhou Dianping data.

[0133] Step 2: Identify the first ecological source based on research data (e.g. Figure 3 (shown in a), construct the ecological resistance surface, and use the Linkage Mapper tool to extract the ecological corridor (as shown in Figure 3 b) and ecological nodes (as shown in Figure 3 c and d in Figure 3), and then obtain the ecological green infrastructure network (as shown in Figure 3). Figure 3 (as shown in e).

[0134] Specifically, the sub-steps implemented in step 2 include:

[0135] Step 2.1: Set woodland, grassland, wetland and water body as the foreground, perform binarization on the land use type data (Kang & Kim, 2015), and then use the eight-neighborhood image thinning tool of Guidos Toolbox software to perform MSPA analysis on the data to obtain seven non-overlapping types of landscape elements, and extract the core area as the alternative ecological source area at the metropolitan area scale. 2 The minimum area threshold for source extraction was used to initially screen ecological sources. Conefor 26 software was then used to calculate the patch connectivity index (dPC) of these initially screened ecological sources. Ecological patches with a dPC greater than 0.5 were considered primary ecological sources within the metropolitan area, while those with a dPC greater than 0.5 were considered secondary ecological sources.

[0136] Step 2.2: Based on the actual conditions of the study area and the ecological importance of the landscape, seven factors (elevation, slope, terrain relief, normalized vegetation index, land use type, distance to railways, and distance to highways) were selected to construct an ecological resistance factor set. The ecological factor classification interval was [1-100]. The CRITIC method was used to assess the weight of each resistance factor, and then the weighted superposition was used to form a comprehensive ecological resistance surface.

[0137] Step 2.3: Based on the source identification results and the construction of the comprehensive ecological resistance surface, use the Circuitscape and Linkage Mapper analysis tools to simulate the cost path with the least cumulative resistance between source areas, which is used as the optimal corridor for connecting the ecological green infrastructure network. Use the all-to-one mode of the Pinchpoint Mapper module in the Linkage Mapper tool to extract the pinch point locations of the green infrastructure network. Use the natural breakpoint method to classify the results into five levels, and extract the highest level as the ecological "pinch point" area. Use the Barrier Mapper module in the Linkage Mapper tool to identify the barrier points of the green infrastructure network. Use the natural breakpoint method to classify the results into five levels, and extract the highest level as the ecological "barrier point" area.

[0138] In this embodiment, the green infrastructure network based on ecological functions constructed in step 2 is as follows: Figure 3 As shown, a total of 59 ecological source sites were identified within Guangzhou, including 10 first-level and 49 second-level ecological source sites, representing 36.4161% of the study area. A total of 123 ecological corridors with minimum distances were constructed between ecological source site patches, ranging in length from 0.0724 to 65.1556 km, totaling 577.9404 km with an average length of 4.6987 km. The overall distribution of ecological corridors is relatively balanced, with distinct linear characteristics. This is primarily due to the area and distribution of ecological source sites, as well as high resistance, which results in narrow ecological corridors. Ecological corridors in the north are characterized by wide width, short length, and a dense distribution. Ecological corridors in the central region extend from the central region to the north, west, and south, demonstrating their status as a hub for ecological green infrastructure. Due to the smaller and more dispersed distribution of source sites in the central and southern regions, ecological corridors are relatively long, narrow, and tortuous, making habitats vulnerable and prone to disruption. This is primarily due to the high resistance caused by the intensity of human activities in these areas. In terms of ecological node identification, a total of 44 ecological pinch points were identified, with a total area of ​​254.1294 km 2 , mainly concentrated in the north-central region, and overlapped with corridors at all scales in terms of spatial location; a total of 29 ecological barrier areas were identified, with a total area of ​​473.6835 km 2 The largest ecological barrier area is 91.4886km 2 , concentrated in the south-central region.

[0139] Step 3: Identify the first recreation source based on research data (e.g. Figure 4 (shown in a), construct the recreational resistance surface, and use the Linkage Mapper tool to extract the recreational corridor (as shown in Figure 4 b) and recreational nodes (as shown in Figure 4c and d in Figure 3), and then obtain the recreational green infrastructure network (as shown in Figure 3). Figure 4 (as shown in e).

[0140] Specifically, the implementation process of step 3 includes the following sub-steps:

[0141] Step 3.1: Conduct a point density analysis of the POI data for landscape and recreational service facilities within the study area. Next, crawl Baidu heat maps for each hour from 6:00 AM to 10:00 PM on a Sunday (selecting August 12, 2024). Finally, perform a matching analysis between the two to identify patches with "high landscape and recreational service infrastructure and high spatial vitality." Intersect these patches with the parks and green spaces within the study area to identify candidate recreational sources. Furthermore, crawl relevant review data from the Dianping app and, based on the review scores, use the natural breakpoint method to categorize the candidate recreational sources, with patches with a higher rating designated as first-level recreational sources and patches with a high rating designated as second-level recreational sources.

[0142] Step 3.2: Based on the actual conditions of the target area, focus on the accessibility of residents to recreational sources and between sources. Construct a set of recreational resistance factors based on eight aspects: land use type, elevation, slope, terrain relief, road network distance, density of basic service facilities, density of scenic resources, and visual landscape quality. Use [1-100] as the ecological factor classification interval, use the CRITIC method to assess the weight of each resistance factor, and then superimpose the weighted factors to form a comprehensive recreational resistance surface.

[0143] Step 3.3: Based on the source identification results and the construction results of the comprehensive recreation resistance surface, use the Circuitscape and Linkage Mapper analysis tools to simulate the cost path with the least cumulative resistance between source areas, and use this as the optimal corridor for connecting the recreation green infrastructure network; use the all-to-one mode of the Pinchpoint Mapper module in the Linkage Mapper tool to extract the pinch point locations of the recreation green infrastructure network, and classify the results into five levels according to the natural breakpoint method, and extract the highest level as the recreation "pinch point" area; use the Barrier Mapper module in the Linkage Mapper tool to identify the barrier point locations of the recreation green infrastructure network, and classify the results into five levels according to the natural breakpoint method, and extract the highest level as the recreation "barrier point" area.

[0144] The green infrastructure network based on recreational functions constructed in step 3 in this embodiment is as follows Figure 4 As shown in Figure 2, a total of 140 recreational areas were extracted in Guangzhou, with a total area of ​​73.5291 km 2, among which the first-level recreation sources occupy the main position, accounting for 59.4622% of the total area of ​​recreation sources in the metropolitan area. From the perspective of spatial distribution, recreation sources are clustered in the central area of ​​Guangzhou. Specifically, it shows the distribution characteristics of "large aggregation and small dispersion". "Large aggregation" refers to the large-scale distribution characteristics of recreation sources mainly in the southeast of Baiyun District, Yuexiu District, the north and southeast of Haizhu District, the west of Huangpu District and the north of Panyu District. "Small dispersion" refers to the small-scale dispersion of recreation sources in Huadu District, Conghua District, Zengcheng District and Nansha District. From the perspective of the generated recreation corridors, a total of 329 corridors were constructed, with a length ranging from 0.0424 to 53.2269 km. 2 , with a total length of 1216.8229 km 2 , showing a distribution characteristic of "dense in the middle and sparse in the north and south". Its distribution is closely related to the pattern of recreational sources. Since the number of recreational sources in the south and north is small and the distance between patches is far, the corridor density is weak and the length is long. Compared with the surface corridor distribution width characteristics in the north, the width of recreational corridors in the central and southern parts of the metropolitan area tends to be narrower. This is mainly because most of the north is in a low resistance value area, and the recreational paths have no obvious resistance, resulting in a surface distribution characteristic. In terms of recreational node identification, a total of 54 recreational pinch points were identified, with pinch point areas ranging from 0.0918 to 5.0616 km 2 The total area is 36.5301km 2 , there are 58 recreational obstacle points with a total area of ​​464.1884km 2 The minimum obstacle area is 1.0017km 2 , the maximum is 151.0820km 2 From a spatial perspective, recreational pinch points are primarily located between fragmented recreational source patches, concentrated in the central metropolitan area, particularly around the recreational source areas surrounding Baiyun Mountain and the Pearl River Basin. Recreational obstruction points are mostly located outside the main urban area, particularly in the northern and southern regions of the metropolitan area. They are characterized by clear corridor reliance, large areas, and narrow strip-like distribution.

[0145] Step 4: Integrate the ecological green infrastructure network diagram and the recreational green infrastructure network diagram with different functions, identify and extract patches with overlapping functions, and then regard the overlapping patches as the first-level source areas of the green infrastructure composite network (such as Figure 5 The single-function source area is the secondary source area; secondly, the resistance surface of the ecological green infrastructure network is combined with the resistance surface of the recreational green infrastructure network using the minimum value method, and the comprehensive landscape resistance surface is obtained by superposition (as shown in a and b in the figure). Figure 5 Then, Linkage Mapper software is used to connect the composite function source areas and the single function source areas to generate a green infrastructure composite corridor (as shown in c in Figure 1). Figure 5Finally, the ecological green infrastructure network, recreational green infrastructure network and green infrastructure composite corridor are integrated to construct the composite functional green infrastructure network to be evaluated (as shown in a in Figure 1). Figure 5 d and e in the figure).

[0146] The composite green infrastructure network to be evaluated based on multifunctional coupling constructed in step 4 of this embodiment is as follows: Figure 5 As shown in Figure 2, Guangzhou has identified nine composite functional source areas (overlapping areas) with an area of ​​23.2678 km. 2 , 141 single-function sources, including 55 ecological function sources, covering an area of ​​3733.5382 km 2 , 86 recreational function sources, covering an area of ​​43.03773km 2 , among which the ecological function source areas are concentrated in the north, and the recreational and composite function source areas are concentrated in the middle. In terms of corridor element extraction, Guangzhou City extracted 244 composite function corridors with a total length of 834.9150km, and 199 single function corridors with a total length of 603.7430km, including 21 ecological corridors and 178 recreational corridors. Among them, composite corridors are in the main position and form a network distributed throughout the region. Specifically, the composite corridors in the "northeast-southwest" area are dense and short, while the ecological corridors and recreational corridors are mainly distributed on the periphery of the central area, playing the role of connecting the scattered sources in the east and west and the north and south, so the corridors are longer as a whole. In terms of pinch point extraction, 46 composite pinch points were obtained, with a large area span ranging from 1.0161 to 40.9023km 2 There are 51 single-function pinch points and 27 ecological pinch points, accounting for 87.2350% of the area. Although the number of recreational pinch points is almost the same as that of ecological pinch points, which is 24, the area accounts for only 12.7650%. There are 43 complex obstacle points extracted, with a total area of ​​269.0961 km. 2 The largest composite obstacle point is 47.4282 km 2 , the smallest is only 1.0683km 2 There are 93 single-function obstacle points, including 61 recreational obstacle points, covering an area of ​​247.3481 km 2 , there are 32 ecological barrier points with an area of ​​364.7216km 2 The pinch points are concentrated in the central and southern parts of the region in a narrow strip shape, and there is a large blind spot in the northern part of the region. The obstacle points are distributed in a pattern of recreational obstacle points concentrated in the central part, ecological obstacle points scattered in the central part of the ring, and complex obstacle points concentrated in the central part and scattered in the central part of the ring.

[0147] Step 5: Based on a random walk model, Circuitscape software is used to perform a functional evaluation of each single-function green infrastructure network and the composite-function green infrastructure network to be evaluated. This comparative analysis then identifies how well the composite-function green infrastructure network achieves its goal of promoting the movement and diffusion of ecological flows. Because functional evaluation emphasizes the effectiveness of grid results in promoting the movement of ecological flow elements, the resistance surface data used in the evaluation process should primarily be the resistance surface used in the construction of the ecological green infrastructure network. Furthermore, this embodiment also processes corridor elements extracted during the construction of each functional and composite-function green infrastructure network as important resistance surface elements and overlays them with the ecological resistance surface to obtain landscape resistance surface data for functional evaluation analysis. Based on this landscape resistance surface data and source data, Circuitscape software analysis simulates the distribution of ecological flows under different functional and composite-function green infrastructure networks. This allows for an effective assessment of whether the composite-function green infrastructure network outperforms the single-function green infrastructure network in promoting the movement of ecological flows.

[0148] Specifically, this embodiment evaluates the function of each single-function green infrastructure network through step 5 (the evaluation results are as follows: Figure 6 a and b) and the functional evaluation of the composite functional green infrastructure network (the evaluation results are shown in Figure 6 As shown in Figure (c), under the scenario of constructing a green infrastructure network based on ecological functions, ecological flows from large-scale ecological sources in the urban fringe areas have difficulty flowing to the central urban area, resulting in a relatively low ecological flow density in the central urban area under this scenario. Under the scenario of constructing a green infrastructure network based on recreational functions, ecological flows are primarily concentrated in the central urban area. Due to the lack of connection with sources in the peripheral areas of the central urban area, ecological flows from recreational sources in the central urban area in this scenario are difficult to spread beyond the central urban area and effectively connect with peripheral areas. Compared with the scenario without a multifunctional green infrastructure network, under the scenario of constructing a multifunctional green infrastructure network, ecological flows supplied by large-scale sources in the urban fringe areas flow to the central urban area through multifunctional corridors and are effectively and densely distributed within the central urban area. At the same time, ecological flows supplied by sources in the central urban area can also effectively connect with sources in the urban fringe areas. This, to a certain extent, avoids the existing disconnected ecological flow diffusion between the central urban area and the urban fringe areas under the scenario of constructing a single green infrastructure network, strengthens the ecological flow transmission capacity within the entire city, and effectively achieves the ecological flow transmission goals expected by the green infrastructure network architecture.

[0149] Step 6: Using graph theory, based on the corridor and source elements in the network, four structural indices (α, β, γ, and C index) are selected to conduct structural evaluation of each single-function law firm infrastructure network and the composite-function green infrastructure network to be evaluated.

[0150] Specifically, this example evaluates the structure of each single-function and composite-function green infrastructure network through step 6, as shown in Table 1. The composite-function green infrastructure network has the highest α, β, and γ indices, at 0.3157, 0.2667, and 0.9009, respectively. This indicates that, compared to the single-function green infrastructure networks, the composite green infrastructure network has more interconnected loops, a more complex network structure, and higher inter-network connectivity. Furthermore, the C index, or cost ratio, measures the cost of corridor construction within the network. Generally speaking, a higher C index indicates a greater construction difficulty. The C index results for each single-function and composite-function green infrastructure network show that the ecological green infrastructure network has the highest C index, at 0.7872, followed by the recreational green infrastructure network, at 0.7296, and the composite-function green infrastructure network has the lowest C index, at 0.7220. This indicates that, compared to the single-function green infrastructure networks, the composite-function green infrastructure network has a higher degree of controllability of landscape fragmentation and a relatively lower construction cost, which, to a certain extent, facilitates the restoration and optimization of green infrastructure networks.

[0151] Reference Figure 7 The embodiment of the present application provides a device for constructing a city multi-functional green infrastructure network, the device comprising:

[0152] The first module 810 is used to obtain a research database for constructing a composite green infrastructure network;

[0153] The second module 820 is used to extract the first ecological source site for the ecological green infrastructure network construction according to the research database;

[0154] The third module 830 is used to extract the first recreation source site for the recreation green infrastructure network based on the research database;

[0155] The fourth module 840 is used to construct an ecological resistance surface and a recreational resistance surface based on the research database;

[0156] The fifth module 850 is used to construct an ecological green infrastructure network based on the first ecological source area and the ecological resistance surface;

[0157] The sixth module 860 is used to construct a recreation green infrastructure network based on the first recreation source and the recreation resistance surface;

[0158] The seventh module 870 is used to integrate the ecological green infrastructure network and the recreational green infrastructure network to obtain a composite functional green infrastructure network to be evaluated;

[0159] The eighth module 880 is used to evaluate the composite functional green infrastructure network to be evaluated and obtain a target composite functional green infrastructure network.

[0160] It can be understood that the contents of the above method embodiments are all applicable to the present device embodiments, the functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0161] The present application also provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the above method when executing the computer program. The electronic device can be any smart terminal including a tablet computer, an in-vehicle computer, etc.

[0162] It can be understood that the contents of the above method embodiments are all applicable to the present device embodiments, the functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0163] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program, and the computer program implements the above method when executed by a processor.

[0164] It can be understood that the contents of the above method embodiments are all applicable to the present storage medium embodiment, the functions specifically implemented by the present storage medium embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0165] The embodiments described in the embodiments of this application are intended to more clearly illustrate the technical solutions of the embodiments of this application and do not constitute a limitation on the technical solutions provided by the embodiments of this application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

[0166] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.

[0167] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, i.e., they may be located in one place or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of this embodiment.

[0168] Those skilled in the art will appreciate that all or some of the steps in the methods, systems, and functional modules / units in the devices disclosed above may be implemented as software, firmware, hardware, or appropriate combinations thereof.

[0169] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0170] It should be understood that in this application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0171] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the above-mentioned units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0172] The units described above as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0173] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0174] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes multiple instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: various media that can store programs, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0175] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but are not intended to limit the scope of the present invention. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and essence of the present invention should be within the scope of the present invention.

Claims

1. A method for constructing a green infrastructure network with multiple functions in an urban area, characterized by: The method comprises the following steps: Access to research databases for constructing composite green infrastructure networks; extracting the first ecological source for the construction of the ecological green infrastructure network based on the research database; extracting a first recreation source site constructed from a recreation green infrastructure network based on the research database; Constructing ecological resistance surfaces and recreational resistance surfaces based on the research database; constructing an ecological green infrastructure network based on the first ecological source area and the ecological resistance surface; constructing a recreation green infrastructure network based on the first recreation source and the recreation resistance surface; Integrate the ecological green infrastructure network and the recreational green infrastructure network to obtain a composite functional green infrastructure network to be evaluated; The composite functional green infrastructure network to be evaluated is evaluated to obtain a target composite functional green infrastructure network.

2. The method according to claim 1, characterized in that The obtaining of a research database for constructing a composite green infrastructure network includes: Obtaining a basic database for constructing a composite green infrastructure network, wherein the data in the basic database includes land use data, natural environment data, and socio-economic and cultural tourism data. The land use data includes land use types of the target area. The natural environment data includes elevation data, morphological spatial pattern analysis landscape types, slope data, and vegetation cover data of the target area. The socio-economic and cultural tourism data includes road network data, geographic points of interest data, Baidu trend data, and Dianping data of the target area. The data in the basic database is preprocessed to obtain the research database.

3. The method according to claim 2, characterized in that The first ecological source constructed by extracting the ecological green infrastructure network according to the research database includes: Woodland, grassland, wetland and water body are set as foreground, and the land use data is binarized; The morphological spatial pattern analysis of the binarized data was performed to obtain several overlapping types of landscape elements, including core areas, bridge areas, edge areas, pores, islands, loop areas and branches; Taking the core area as the alternative ecological source, the area ranking method is used to analyze the contribution ratio of the patch area of ​​the alternative ecological source to the total area of ​​the regional green infrastructure space; Preliminary screening of the candidate ecological source areas is performed based on the contribution ratio relationship; Calculate the patch connectivity index of the candidate ecological source sites after initial screening; According to the patch connectivity index, a target ecological source for the construction of the ecological green infrastructure network is determined as the first ecological source.

4. The method according to claim 2, characterized in that The first recreation source area constructed by extracting the recreation green infrastructure network according to the research database includes: Performing point density analysis on the geographic interest point data to obtain first analysis data; Performing integrated analysis on the Baidu thermal data to obtain second analysis data; Matching the first analysis data with the second analysis data to obtain target patches, wherein the target patches include patches with basic landscape recreation service facilities and high spatial vitality; Conducting intersection analysis between the target patch and the green infrastructure space within the target area to obtain alternative recreational sources; Based on the Dianping data, the alternative recreation source with a higher score is determined as the first recreation source using a natural discontinuity grading method.

5. The method according to claim 2, characterized in that The step of constructing the ecological resistance surface and the recreational resistance surface based on the research database includes: Obtain comprehensive status information of the target area; Constructing a set of ecological resistance factors based on the research database; Constructing the ecological resistance surface based on the comprehensive status information of the target area and the set of ecological resistance factors; Determining accessibility of residents to the first recreation source and between the first recreation sources based on the comprehensive status information of the target area; constructing a set of recreational resistance factors based on the research database; The recreation resistance surface is constructed based on the accessibility and the recreation resistance factor set.

6. The method according to claim 1, characterized in that The ecological green infrastructure network and the recreational green infrastructure network are integrated to obtain a composite functional green infrastructure network to be evaluated, including: Performing functional identification on the first ecological source area and the first recreational source area to obtain first patches with the same function and second patches with different functions; Connecting the first patch and the second patch to obtain a green infrastructure composite corridor; The green infrastructure composite corridor, the ecological green infrastructure network and the recreational green infrastructure network are integrated to obtain a composite functional green infrastructure network to be evaluated.

7. The method according to claim 1, characterized in that The step of evaluating the to-be-evaluated composite functional green infrastructure network to obtain a target composite functional green infrastructure network includes: The random walk model is used to simulate the ecological flow distribution under the construction scenario of the ecological green infrastructure network and the recreational green infrastructure network to obtain a first simulation result; and the ecological flow distribution under the construction scenario of the composite functional green infrastructure network to be evaluated is simulated to obtain a second simulation result; Analyze the differences between the ecological green infrastructure network, the recreational green infrastructure network, and the composite functional green infrastructure network to be evaluated based on the first simulation result and the second simulation result; The target composite functional green infrastructure network is determined from the composite functional green infrastructure networks to be evaluated according to the differences.

8. A device for constructing a green infrastructure network with multiple functions in an urban area, characterized in that: The device comprises: The first module is used to obtain research databases for building composite green infrastructure networks; The second module is used to extract the first ecological source site for constructing the ecological green infrastructure network based on the research database; The third module is used to extract the first recreation source site for constructing the recreation green infrastructure network based on the research database; The fourth module is used to construct an ecological resistance surface and a recreational resistance surface based on the research database; A fifth module is used to construct an ecological green infrastructure network based on the first ecological source area and the ecological resistance surface; A sixth module is used to construct a recreation green infrastructure network based on the first recreation source and the recreation resistance surface; The seventh module is used to integrate the ecological green infrastructure network and the recreational green infrastructure network to obtain a composite functional green infrastructure network to be evaluated; The eighth module is used to evaluate the composite functional green infrastructure network to be evaluated to obtain a target composite functional green infrastructure network.

9. A computer device, characterized in that: include: at least one processor; at least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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