Method and device for constructing natural-based recreation infrastructure network, and electronic equipment

Abstract

The application discloses a natural-based recreation infrastructure network construction method and device and electronic equipment, relates to the technical field of geographic planning, and comprises the following steps: identifying a recreation resource center of a research area according to nature reserve data, park green space data, scenic spot data, characteristic town data and river system data; constructing a comprehensive resistance surface of the research area according to resistance factors; identifying a target corridor of the research area and a network strategic point of the target corridor according to the recreation resource center and the comprehensive resistance surface; and correcting and adjusting the network structure of the research area according to the recreation resource center, the target corridor and the network strategic point. According to the application, the recreation resource center meeting the ecological function and human recreation demand is screened out according to the recreation resource, the target corridor and the network strategic point are identified, and then the network structure of the research area is corrected and adjusted, so that the natural-based recreation infrastructure network under the guidance of recreation is formed, and the experience of people during recreation can be improved based on the network.

Description

Technical Field

[0001] This application relates to the field of geographic planning technology, and in particular to methods, apparatus and electronic devices for constructing nature-based recreational infrastructure networks. Background Technology

[0002] Nature-based infrastructure (NbI) is a new concept proposed by the United Nations in 2023. Its essence is to utilize nature to provide services related to infrastructure functions. While protecting the ecosystem, it also emphasizes providing multiple benefits such as recreation, climate regulation, and flood mitigation, fully leveraging its multifunctionality. Current network construction methods are relatively mature, but they only consider the protection and restoration of the ecosystem, neglecting human experience needs and lacking a multifunctional approach, thus failing to meet the diverse service requirements within cities.

[0003] Currently, the identification of ecological network centers is mainly based on urban green spaces. Most studies use methods such as MSPA and landscape connectivity to screen out patches with large areas and good connectivity, or combine ecological sensitivity to make selections. However, these methods mainly focus on the ecological functions of the city, while ignoring the social functions of the city such as landscape recreation. Summary of the Invention

[0004] The main objective of this application is to propose a method, apparatus, and electronic device for constructing a nature-based recreational infrastructure network, so as to build a network structure for landscape recreation and thereby meet people's experience needs.

[0005] To achieve the above objectives, one aspect of this application proposes a method for constructing a nature-based recreational infrastructure network, the method comprising the following steps:

[0006] Obtain basic data for the study area;

[0007] The recreational resource centers of the study area were identified based on the data of nature reserves, parks and green spaces, scenic areas, characteristic towns, and river systems in the aforementioned basic data.

[0008] A comprehensive resistance surface for the study area is constructed based on the resistance factors in the aforementioned basic data.

[0009] Based on the recreational resource center and the integrated resistance surface, the target corridors and network strategic points of the target corridors in the study area are identified;

[0010] The network structure of the study area is modified and adjusted based on the recreation resource centers, the target corridors, and the network strategic points to form a recreation-oriented infrastructure network for the study area.

[0011] In some embodiments, identifying recreational resource centers in the study area based on the basic data, including data on nature reserves, parks and green spaces, scenic areas, characteristic towns, and river systems, includes the following steps:

[0012] Based on the data of nature reserves, parks and green spaces, scenic areas, characteristic towns, and river systems in the aforementioned basic data, candidate resource centers were selected according to area, level, social media star rating and number of comments, and completeness of functions and facilities;

[0013] Kernel density analysis is performed based on POI data to identify areas with high recreational demand. These areas are then compared with the candidate resource centers to add some resource centers to the concentrated areas, forming the final recreational resource centers.

[0014] The formula for calculating the nuclear density analysis is:

[0015]

[0016] Where f(x) is the probability density function of target estimation, K(·) is the kernel function used to calculate the contribution of sample points to position x, h is the bandwidth, which controls the width of the kernel function, and n is the number of samples.

[0017] In some embodiments, constructing the comprehensive resistance surface of the study area based on the resistance factors in the basic data includes the following steps:

[0018] The landscape value index is calculated based on the land use data in the basic data, and then combined with elevation data, slope data, road data, bus stop data, subway station data, and residential area data as resistance factors to form a comprehensive resistance surface;

[0019] The formula for calculating the landscape value index is:

[0020] J = l·p·q;

[0021] Wherein, J is the landscape resistance value, l represents the land use type, p represents the landscape recreation value equivalent, and q represents the recreation level.

[0022] In some embodiments, identifying target corridors and network strategic points of the target corridors in the study area based on the recreational resource center and the integrated resistance surface includes the following steps:

[0023] Based on the minimum resistance model, the recreational resource center and the integrated resistance surface are input into the LinkageMapper model to identify the target corridors in the study area; wherein, the LinkageMapper model is set with cost-weighted distance as a threshold for identifying the target corridors;

[0024] The expression for the minimum cumulative resistance model is:

[0025]

[0026] Where MCR represents the minimum accumulated resistance value of network flow; D xy R represents the distance between the recreational resource center x and the recreational resource center y; x The value represents the landscape resistance between recreational resource center x and recreational resource center y; m and n represent the number of patches in recreational resource center x and recreational resource center y, respectively.

[0027] Based on circuit theory, the network strategic points of the target corridor are identified in the Linkage Mapper model;

[0028] The expression for the circuit theory is as follows:

[0029]

[0030] Where I is the current, used to represent the flow of an object between two recreational resource centers, V is the interaction force or attraction between the two recreational resource centers, and R is the combined resistance surface.

[0031] In some embodiments, identifying the network strategic points of the target corridor based on the circuit theory includes the following steps:

[0032] Based on the circuit theory, the network pinch points and network obstacle points of the target corridor are identified as the network strategic points.

[0033] In some embodiments, identifying the network pinch points of the target corridor based on the circuit theory includes the following steps:

[0034] Based on the circuit theory and using the Pinchpoint Mapper model, the regions in the target corridor where the current density reaches a preset threshold are identified as the network pinch points.

[0035] Identifying the network obstacle points of the target corridor based on the circuit theory includes the following steps:

[0036] Based on the circuit theory and using the Barrier Mapper model, barriers that alter the position of the target corridor are identified as network obstacle points.

[0037] To achieve the above objectives, another aspect of this application proposes a nature-based infrastructure network construction apparatus, the apparatus comprising:

[0038] The data acquisition unit is used to acquire basic data for the study area.

[0039] The recreational resource identification unit is used to identify the recreational resource centers of the study area based on the data of nature reserves, parks and green spaces, scenic areas, characteristic towns, and river systems in the basic data.

[0040] A resistance surface construction unit is used to construct a comprehensive resistance surface for the study area based on the resistance factors in the basic data.

[0041] The corridor analysis unit is used to identify the target corridors and network strategic points of the target corridors in the study area based on the recreational resource center and the integrated resistance surface.

[0042] The network optimization unit is used to modify and adjust the network structure of the study area based on the recreation resource center, the target corridor and the network strategic point, so as to form an infrastructure network of the study area under the guidance of recreation.

[0043] To achieve the above objectives, another aspect of this application provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described method.

[0044] To achieve the above objectives, another aspect of the embodiments of this application proposes a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method.

[0045] The embodiments of this application include at least the following beneficial effects:

[0046] This application can obtain basic data of the study area; identify recreational resource centers in the study area based on data from nature reserves, parks and green spaces, scenic areas, characteristic towns, and river systems; construct a comprehensive resistance surface for the study area based on resistance factors in the basic data; identify target corridors and network strategic points of the target corridors based on the recreational resource centers and the comprehensive resistance surface; and modify and adjust the network structure of the study area based on the recreational resource centers, target corridors, and network strategic points to form a recreation-oriented infrastructure network for the study area. Based on data from nature reserves, parks and green spaces, scenic areas, characteristic towns, and river systems, this application can screen recreational resource centers that meet ecological functions and human recreational needs, identify target corridors and network strategic points in the study area, and then modify and adjust the network structure of the study area to form a recreation-oriented infrastructure network for the study area. This infrastructure network can improve people's experience when using recreational infrastructure. Attached Figure Description

[0047] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0048] Figure 1 A flowchart illustrating a method for constructing a nature-based infrastructure network, provided as an embodiment of this application;

[0049] Figure 2 A schematic diagram of an infrastructure network construction device provided in this application embodiment;

[0050] Figure 3 This is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit it. In the following description, when referring to the accompanying 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 those of this application; they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this application as detailed in the appended claims.

[0052] It is understood that the terms “first,” “second,” etc., used in this application may be used herein to describe various concepts, but unless otherwise stated, 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 this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the words “if,” “when,” or “in response to a determination” as used herein may be interpreted as “when…” or “when…” or “in response to a determination.”

[0053] As used in this application, the terms "at least one", "multiple", "each", "any", etc., "at least one" includes one, two or more, "multiple" includes two or more, "each" refers to each of the corresponding multiples, and "any" refers to any one of the multiples.

[0054] Unless otherwise defined, 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 application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0055] This application provides a method, apparatus, and electronic device for constructing a nature-based recreational infrastructure network. The technical solution includes: acquiring basic data of the study area; identifying recreational resource centers in the study area based on data from nature reserves, parks and green spaces, scenic areas, characteristic towns, and river systems; constructing a comprehensive resistance surface of the study area based on resistance factors in the basic data; identifying target corridors and network strategic points of the target corridors based on the recreational resource centers and the comprehensive resistance surface; and modifying and adjusting the network structure of the study area based on the recreational resource centers, target corridors, and network strategic points to form a recreation-oriented infrastructure network. This application can screen recreational resource centers that meet ecological functions and human experience needs based on data from nature reserves, parks and green spaces, scenic areas, characteristic towns, and river systems, and identify target corridors and network strategic points in the study area. This allows for the modification and adjustment of the network structure of the study area, forming a recreation-oriented infrastructure network. Based on this infrastructure network, the experience of people using recreational infrastructure can be improved.

[0056] This application provides a method, apparatus, and electronic device for constructing an infrastructure network, relating to the field of geographic planning technology. The method, apparatus, and electronic device for constructing a nature-based recreational infrastructure network provided in this application can be applied to a terminal, a server, or software running on a terminal or server. In some embodiments, the terminal can be a smartphone, tablet, laptop, desktop computer, smart speaker, smartwatch, or vehicle terminal, but is not limited thereto; the server can be configured as an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, 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 implementing knowledge extraction methods, but is not limited to the above forms.

[0057] This application can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This application can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0058] Reference Figure 1 This application provides an infrastructure network construction method, which may include, but is not limited to, steps S100 to S140, as follows:

[0059] S100: Obtain basic data for the study area.

[0060] Specifically, the study area is the area to be studied in this application. The study area can be any designated natural area or an administrative area.

[0061] S110: Identify the recreational resource centers of the study area based on the data of nature reserves, parks and green spaces, scenic areas, characteristic towns, and river systems in the basic data.

[0062] Furthermore, S110 may include S111 to S112:

[0063] S111: Based on the data of nature reserves, parks and green spaces, scenic areas, characteristic towns, and river systems in the aforementioned basic data, candidate resource centers are selected according to area, level, social media platform star rating and number of comments, and the completeness of functions and facilities;

[0064] S112: Perform kernel density analysis based on POI data to determine areas with high recreational demand. Compare these areas with the candidate resource centers and add some resource centers to the concentrated areas to form the final recreational resource centers.

[0065] The formula for calculating the nuclear density analysis is:

[0066]

[0067] Where f(x) is the probability density function of target estimation, K(·) is the kernel function used to calculate the contribution of sample points to position x, h is the bandwidth, which controls the width of the kernel function, and n is the number of samples.

[0068] S120: Calculate the landscape value index based on the land use data in the basic data, and then combine it with elevation data, slope data, road data, bus stop data, subway station data, and residential area data as resistance factors to form a comprehensive resistance surface;

[0069] The formula for calculating the landscape value index is:

[0070] J = l·p·q;

[0071] Wherein, J is the landscape resistance value, l represents the land use type, p represents the landscape recreation value equivalent, and q represents the recreation level.

[0072] S130: Identify the target corridors and network strategic points of the target corridors in the study area based on the recreational resource center and the integrated resistance surface.

[0073] Furthermore, S130 may include S131 to S132:

[0074] S131: Based on the minimum resistance model, the recreational resource center and the integrated resistance surface are input into the LinkageMapper model to identify the target corridor in the study area; wherein, the LinkageMapper model is set with cost-weighted distance as a threshold for identifying the target corridor;

[0075] The expression for the minimum cumulative resistance model is:

[0076]

[0077] Where MCR represents the minimum accumulated resistance value of network flow; D xy R represents the distance between the recreational resource center x and the recreational resource center y; x The value represents the landscape resistance between recreational resource center x and recreational resource center y; m and n represent the number of patches in recreational resource center x and recreational resource center y, respectively.

[0078] S132: Identify the network strategic points of the target corridor based on the circuit theory;

[0079] The expression for the circuit theory is as follows:

[0080]

[0081] Where I is the current, used to represent the flow of an object between two recreational resource centers, V is the interaction force or attraction between the two recreational resource centers, and R is the combined resistance surface.

[0082] More specifically, S132 may include S1321:

[0083] S1321: Based on the circuit theory, identify the network pinch points and network obstacle points of the target corridor as the network strategic points.

[0084] As a further implementation, the step of identifying network grips in S1321 may include:

[0085] Based on the circuit theory and using the Pinchpoint Mapper model, the regions in the target corridor where the current density reaches a preset threshold are identified as the network pinch points.

[0086] As another further implementation, the step of identifying network obstacle points in S1321 may include:

[0087] Based on the circuit theory and using the Barrier Mapper model, barriers that alter the position of the target corridor are identified as network obstacle points.

[0088] S140: Modify and adjust the network structure of the study area based on the recreation resource center, the target corridor and the network strategic point to form an infrastructure network of the study area under the guidance of recreation.

[0089] The following section will provide a detailed introduction and explanation of the solutions in the embodiments of this application, using specific application examples.

[0090] In regions with rapid urbanization, the construction of recreation-oriented NbI networks should adopt the NbI concept, adding human needs or urban social functions on the basis of existing ecological service functions. Therefore, there is an urgent need for a recreation-oriented NbI network construction method that builds urban NbI networks from the perspective of both human needs and ecology.

[0091] Therefore, this embodiment provides a method for constructing NbI networks based on recreational functions, which solves the problem that the network construction techniques mentioned in the background art do not consider the needs related to human well-being. By constructing NbI networks, relevant services can be provided by nature and sustainable urban development can be achieved.

[0092] Specifically, the solution in this embodiment follows the principle of "patch-corridor-node", and includes the following steps:

[0093] Step 1: Obtain basic data for the study area. Basic data includes administrative boundaries, online social media platforms, elevation, water systems, roads, land use types, nature reserves, parks and green spaces, scenic areas, characteristic towns, POIs, etc.

[0094] Step 2: Identify recreational resource centers using data from nature reserves, parks and green spaces, scenic areas, characteristic towns, and river systems;

[0095] Step 3: Based on the minimum cumulative resistance (MCR) model, combine resistance factors such as landscape value index, elevation, slope, distance from road, distance from water, distance from residential area, service range of bus stop, and service range of subway station to construct a comprehensive resistance surface in order to extract corridors;

[0096] Step 4: Using the Linkage Mapper model, input the recreational resource center and the comprehensive resistance surface, set the cost-weighted distance as the threshold, and identify important corridors and potential corridors as target corridors.

[0097] Step 5: Based on circuit theory, analyze the target corridor to identify the network strategic points of the target corridor;

[0098] Step 6: Modify and adjust the network structure of the study area based on recreation resource centers, target corridors, and network strategic points to form a recreation-oriented NbI network pattern.

[0099] Furthermore, in step 3, the expression based on the minimum cumulative resistance (MCR) model is as follows:

[0100]

[0101] In the formula, MCR represents the minimum accumulated resistance value of network flow; D xy R represents the distance between the recreation resource centers x and y; x The value represents the landscape resistance between recreational resource centers x and y; m and n represent the number of patches between the two recreational resource centers.

[0102] The formula for calculating the landscape resistance value of the resistance factor is as follows:

[0103] J = l·p·q;

[0104] In the formula, J represents the landscape value index, l represents the land use type, p represents the landscape recreation value equivalent, and q represents the recreation level. The recreation level correction values ​​are set as follows: 1.75 for park green space, 1.5 for scenic spots, 1.25 for nature reserves, and 1 for other areas.

[0105] Furthermore, in step 4, the circuit theory expression is as follows:

[0106]

[0107] Where I is the current, used to represent the flow of an object between two recreational resource centers, V is the interaction force or attraction between the two recreational resource centers, and R is the combined resistance surface.

[0108] Furthermore, step 5 includes:

[0109] Based on circuit theory, the Pinchpoint Mapper model is used to identify high current density areas in the corridor and obtain network pinch points, which are important hubs of the target corridor and need to be optimized in layout and structure.

[0110] Based on circuit theory, the Barrier Mapper model is used to identify the important barriers that affect the quality of the target corridor, and to obtain network obstacle points, which are the areas where people are hindered during recreation and the nodes that need to be cleared.

[0111] In summary, the beneficial effects of this embodiment include:

[0112] 1. This embodiment, by incorporating online social platform ratings (attraction star ratings) and the number of reviews into the selection of recreational resource centers, can fully leverage the ability of recreational resource centers to meet both ecological functions and human needs, thus overcoming the shortcomings of previous ecological network center selection methods that only considered patch ecological functions.

[0113] 2. This embodiment incorporates the landscape value index into the resistance factor of the comprehensive resistance surface construction, which can reflect the landscape and recreational value of urban space, and adds the service range of public transportation and subway, thereby identifying recreational corridors that are more suitable for serving people.

[0114] 3. In this embodiment, the concept of NbI is referenced in the construction of recreation resource centers and resistance surfaces. The NbI network is constructed from the perspective of recreational functions, which not only protects the ecological functions of the city, but also gives full play to the social functions of urban space, thus achieving multiple benefits.

[0115] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, a further detailed description is provided below in conjunction with the accompanying drawings and more specific embodiments.

[0116] Step 1: Obtain basic data for the study area. Basic data includes administrative boundaries, online social media platforms, elevation, water systems, roads, land use types, nature reserves, parks and green spaces, scenic areas, characteristic towns, POIs, etc.

[0117] Step 2: Based on data from nature reserves, parks and green spaces, scenic areas, characteristic towns, and river systems, the evaluation index system in Table 1 is used to assess and determine the recreation resource centers. Tables 1 and 2 show some evaluation indicators and assignment standards for reference.

[0118] Table 1 Evaluation Indicators for Recreation Resource Centers

[0119]

[0120]

[0121] Table 2. Evaluation Indicators and Value Assignment Standards for Recreation Resource Centers

[0122]

[0123]

[0124]

[0125] Step 3: Using the assignment method shown in Table 3, the resistance surface factors such as elevation, slope, distance from the road, and landscape value index are assigned to obtain a raster map of the resistance factors. The weights of each factor are obtained according to the critic method, and finally the comprehensive resistance surface is obtained according to the weights.

[0126] The formula for calculating the landscape value index is:

[0127] J = l·p·q;

[0128] In the formula, J represents the landscape resistance value, l represents the land use type, p represents the landscape recreational value equivalent (referencing Xie Gaodi's research), and q represents the recreational level. The adjustment values ​​for the recreational level are set as follows: 1.75 for park green space, 1.5 for scenic spots, 1.25 for nature reserves, and 1 for other areas. For example, Table 3 shows some optional resistance factors and resistance values.

[0129] Table 3

[0130]

[0131]

[0132] Step 4: Based on the minimum resistance model, use the Linkage Mapper model, input the recreation resource center and the comprehensive resistance surface, set the cost-weighted distance as the threshold, identify the target corridor, and divide it into primary corridors and secondary corridors according to the natural breakpoint method.

[0133] Step 5: Based on circuit theory, analyze the target corridor and use the Pinchpoint Mapper model to identify the high current density areas of the target corridor and obtain the network pinch points, which are the important hubs of the target corridor and need to be optimized in layout and structure. Use the Barrier Mapper model to identify the important barriers that affect the quality of the target corridor and obtain the network obstacle points, which are the areas where people are hindered during recreation and the nodes that need to be cleared.

[0134] Step 6: Modify and adjust the network structure of the study area based on recreation resource centers, target corridors, and network strategic points to form a recreation-oriented NbI network pattern.

[0135] Reference Figure 2 This application also provides an infrastructure network construction apparatus that can implement the above-described infrastructure network construction method. The apparatus includes:

[0136] The data acquisition unit is used to acquire basic data for the study area.

[0137] The recreational resource identification unit is used to identify the recreational resource centers of the study area based on the data of nature reserves, parks and green spaces, scenic areas, characteristic towns, and river systems in the basic data.

[0138] A resistance surface construction unit is used to construct a comprehensive resistance surface for the study area based on the resistance factors in the basic data.

[0139] The corridor analysis unit is used to identify the target corridors and network strategic points of the target corridors in the study area based on the recreational resource center and the integrated resistance surface.

[0140] The network optimization unit is used to modify and adjust the network structure of the study area based on the recreation resource center, the target corridor and the network strategic point, so as to form an infrastructure network of the study area under the guidance of recreation.

[0141] It is understood that the content of the above method embodiments is applicable to the present device embodiments. The specific functions 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.

[0142] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the aforementioned infrastructure network construction method. This electronic device can be any smart terminal, including tablet computers, in-vehicle computers, etc.

[0143] It is understood that the content of the above method embodiments is applicable to this device embodiment. The specific functions implemented by this device 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.

[0144] Please see Figure 3 , Figure 3 The hardware structure of an electronic device according to another embodiment is illustrated. The electronic device includes:

[0145] The processor 301 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application.

[0146] The memory 302 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 302 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 302 and is called and executed by the processor 301 to implement an infrastructure network construction method according to an embodiment of this application.

[0147] Input / output interface 303 is used to implement information input and output;

[0148] The communication interface 304 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0149] Bus 305 transmits information between various components of the device (e.g., processor 301, memory 302, input / output interface 303, and communication interface 304);

[0150] The processor 301, memory 302, input / output interface 303, and communication interface 304 are connected to each other within the device via bus 305.

[0151] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described infrastructure network construction method.

[0152] It is understood that the content of the above method embodiments is applicable to this storage medium embodiment. The specific functions implemented in this storage medium embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0153] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0154] The embodiments described in this application are for the purpose of more clearly illustrating 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. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0155] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0156] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0157] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0158] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0159] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0160] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0161] The units described above as separate components may or may not be physically separate. 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 the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0162] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0163] If the integrated unit is implemented as 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 this application, in essence, 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. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0164] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. A method for constructing a nature-based recreational infrastructure network, characterized in that, The method includes the following steps: Obtain basic data for the study area; The recreational resource centers of the study area were identified based on the data of nature reserves, parks and green spaces, scenic areas, characteristic towns, and river systems in the aforementioned basic data. A comprehensive resistance surface for the study area is constructed based on the resistance factors in the aforementioned basic data. Based on the recreational resource center and the integrated resistance surface, the target corridors and network strategic points of the target corridors in the study area are identified; The network structure of the study area is modified and adjusted based on the recreation resource centers, the target corridors, and the network strategic points to form a nature-based recreation infrastructure network in the study area under a recreation-oriented approach. The process of identifying target corridors and network strategic points of the target corridors in the study area based on the recreational resource center and the integrated resistance surface includes the following steps: Based on the minimum cumulative resistance model, the recreational resource center and the integrated resistance surface are input into the LinkageMapper model to identify the target corridors in the study area; wherein, the LinkageMapper model is set with cost-weighted distance as a threshold for identifying the target corridors; The expression for the minimum cumulative resistance model is: ； in, This represents the minimum cumulative resistance value for network flow. The recreation resource center and the recreation resource center The distance between them; The recreation resource center and the recreation resource center Landscape resistance values ​​between; Representing the respective recreation resource centers and the recreation resource center The number of plaques; Based on circuit theory, the network strategic points of the target corridor are identified in the Linkage Mapper model; The expression for the circuit theory is as follows: ； in, For example, electric current is used to represent the flow of an object between two recreational resource centers. The interaction or attraction between two recreational resource centers. This refers to the combined resistance surface; Identifying the network strategic points of the target corridor based on the circuit theory includes the following steps: Based on the circuit theory, the network pinch points and network obstacle points of the target corridor are identified as the network strategic points; Identifying the network pinch points of the target corridor based on the circuit theory includes the following steps: Based on the circuit theory and using the Pinchpoint Mapper model, the regions in the target corridor where the current density reaches a preset threshold are identified as the network pinch points. Identifying the network obstacle points of the target corridor based on the circuit theory includes the following steps: Based on the circuit theory and using the Barrier Mapper model, barriers that alter the position of the target corridor are identified as network obstacle points.

2. The method for constructing a nature-based recreational infrastructure network according to claim 1, characterized in that, The process of identifying recreational resource centers in the study area based on the basic data, including data on nature reserves, parks and green spaces, scenic areas, characteristic towns, and river systems, includes the following steps: Based on the aforementioned basic data, including data on nature reserves, parks and green spaces, scenic areas, characteristic towns, and river systems, candidate resource centers were selected according to an evaluation index system based on area, grade, social media platform star rating and number of comments, and the completeness of functions and facilities. Kernel density analysis is performed based on POI data to identify areas with high recreational demand. These areas are then compared with the candidate resource centers to add some resource centers to the concentrated areas, forming the final recreational resource centers. The formula for calculating the nuclear density analysis is: ； in, The probability density function for estimating the target. This is a kernel function used to calculate the position of sample point pairs. Contribution For bandwidth, control the width of the kernel function. This represents the number of samples.

3. The method for constructing a nature-based recreational infrastructure network according to claim 1, characterized in that, The process of constructing the comprehensive resistance surface of the study area based on the resistance factors in the basic data includes the following steps: The landscape value index is calculated based on the land use data in the basic data, and then combined with elevation data, slope data, road data, bus stop data, subway station data, and residential area data as resistance factors to form a comprehensive resistance surface; The formula for calculating the landscape value index is: ； in, The landscape value index, also known as the landscape resistance value, Indicates land use type, Indicates the equivalent value of landscape recreation. Indicates the recreation level.

4. A device for constructing a nature-based recreational infrastructure network, characterized in that, The device is applied to a method for constructing a nature-based recreational infrastructure network as described in claim 1, the device comprising: The data acquisition unit is used to acquire basic data for the study area. The recreational resource center identification unit is used to identify the recreational resource centers in the study area based on the data of nature reserves, parks and green spaces, scenic areas, characteristic towns, and river systems in the basic data. A resistance surface construction unit is used to construct a comprehensive resistance surface for the study area based on the resistance factors in the basic data. The corridor analysis unit is used to identify the target corridors and network strategic points of the target corridors in the study area based on the recreational resource center and the integrated resistance surface. The network optimization unit is used to modify and adjust the network structure of the study area based on the recreation resource center, the target corridor and the network strategic point, so as to form an infrastructure network of the study area under the guidance of recreation.

5. An electronic device, characterized in that, The electronic device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the method as described in any one of claims 1 to 3.

6. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 3.

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