Identification method, device, equipment and medium for recreational service blind spots

Abstract

The present invention provides a method, device, equipment and medium for identifying recreational service blind spots, including: obtaining recreational service resource data, residential land data and road network spatial data corresponding to a target area; determining the scale level and entry and exit point data corresponding to recreational service sources in the target area according to the recreational service resource data, and identifying the blind spot range in the target area based on the road network spatial data and the scale level and entry and exit point data corresponding to the recreational service sources; determining the living circle data corresponding to the residential land in the target area according to the residential land data and the road network spatial data, so as to extract the recreational service blind spot with the residential land as the service object from the blind spot range by using the living circle data. The present invention can quantify the recreational service blind spot in the target area, improve the accuracy of identifying the recreational service blind spot, and provide a scientific basis for the objective evaluation and planning of recreational services.

Description

Technical Field

[0001] The present invention relates to the technical field of urban planning, and in particular to a method, device, equipment and medium for identifying blind areas of recreational services. Background Art

[0002] At present, the existing recreational service blind spot identification technology mostly uses a buffer zone to calculate a circular range of a certain radius, or calculates the straight-line distance from the service source point to the service object point, so as to determine the recreational service blind spot within the city area on this basis. However, the calculation of this technical means is relatively extensive and cannot identify the service range according to the actual road network, resulting in insufficient accuracy of the identified recreational service blind spot. Summary of the invention

[0003] In view of this, the purpose of the present invention is to provide a method, device, equipment and medium for identifying blind spots of recreational services, which can quantify the blind spots of recreational services in the target area, improve the accuracy of identifying blind spots of recreational services, and provide a scientific basis for the objective evaluation and planning of recreational services.

[0004] In a first aspect, an embodiment of the present invention provides a method for identifying a recreational service blind spot, comprising:

[0005] Obtain recreational service resource data, residential land data and road network spatial data corresponding to the target area;

[0006] Determine the scale level and entry and exit point data corresponding to the recreation service source in the target area based on the recreation service resource data, and identify the blind area range in the target area based on the road network spatial data, the scale level and entry and exit point data corresponding to the recreation service source;

[0007] Based on the residential land data and road network spatial data, the living circle data corresponding to the residential land in the target area is determined, so that the living circle data can be used to extract the recreational service blind spots that serve the residential land from the blind area.

[0008] In one embodiment, determining the scale level and entry and exit point data corresponding to the recreation service source in the target area according to the recreation service resource data includes:

[0009] Extracting planar spatial data corresponding to at least one recreational service source in the target area according to the recreational service resource data;

[0010] Determine the scale level corresponding to the recreation service source according to the area value corresponding to the planar spatial data; and convert the planar spatial data into linear data, and generate multiple entry and exit points along the linear data to obtain the entry and exit point data corresponding to the recreation service source.

[0011] In one embodiment, based on the road network spatial data, the scale level and the entrance and exit point data corresponding to the recreation service source, the blind area range in the target area is identified, including:

[0012] Taking the location of the entry and exit point data as the center, based on the road network spatial data and the service radius corresponding to the scale level of the recreation service source, determine the target service coverage area corresponding to the recreation service source;

[0013] The range corresponding to other areas in the target area except the target service coverage area is determined as the blind area range in the target area.

[0014] In one implementation, taking the location of the entry and exit point data as the center, based on the road network spatial data and the scale level corresponding to the recreation service source, determining the target service coverage area corresponding to the recreation service source includes:

[0015] According to the mapping relationship between scale level and accessibility service radius value, determine the target accessibility service radius value corresponding to the recreation service source;

[0016] For each entry and exit point data corresponding to the recreational service source, the initial service coverage area corresponding to the entry and exit point data is determined based on the target accessibility service radius value and the road network spatial data, with the location of the entry and exit point data as the center;

[0017] The initial service coverage area corresponding to each entry and exit point data of the recreation service source is fused to obtain the target service coverage area corresponding to the recreation service source.

[0018] In one embodiment, determining the living circle data corresponding to the residential land in the target area according to the residential land data and the road network spatial data includes:

[0019] Taking the geometric center point of the residential land data as the center, based on the preset living circle service radius value and road network spatial data, determine the living circle data corresponding to the residential land in the target area.

[0020] In one implementation, the recreational service blind area with residential land as the service object is extracted from the blind area using the living circle data, including:

[0021] The living circle data is intersected with the blind area, and the area obtained by the intersection is used as a blind area for recreational services that serves residential land.

[0022] In a second aspect, an embodiment of the present invention further provides a device for identifying a recreational service blind spot, comprising:

[0023] A data acquisition module is used to obtain recreational service resource data, residential land data and road network spatial data corresponding to the target area;

[0024] A blind spot identification module is used to determine the scale level and entry and exit point data corresponding to the recreation service source in the target area according to the recreation service resource data, and to identify the scope of the blind spot in the target area based on the road network spatial data, the scale level and entry and exit point data corresponding to the recreation service source;

[0025] The blind spot extraction module is used to determine the living circle data corresponding to the residential land in the target area based on the residential land data and the road network space data, so as to use the living circle data to extract the recreational service blind spot with the residential land as the service object from the blind spot range.

[0026] In one implementation, the blind spot identification module is specifically used for:

[0027] Extracting planar spatial data corresponding to at least one recreational service source in the target area according to the recreational service resource data;

[0028] Determine the scale level corresponding to the recreation service source according to the area value corresponding to the planar spatial data; and convert the planar spatial data into linear data, and generate multiple entry and exit points along the linear data to obtain the entry and exit point data corresponding to the recreation service source.

[0029] In a third aspect, an embodiment of the present invention further provides an electronic device, comprising a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement any one of the methods provided in the first aspect.

[0030] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement any one of the methods provided in the first aspect.

[0031] The embodiment of the present invention provides a method, device, equipment and medium for identifying blind spots of recreational services. First, recreational service resource data, residential land data and road network space data corresponding to the target area are obtained; then, the scale level and entry and exit point data corresponding to the recreational service source in the target area are determined according to the recreational service resource data, and the service coverage area in the target area is identified based on the road network space data and the scale level and entry and exit point data corresponding to the recreational service source, and then the blind spot range in the target area is determined based on the range corresponding to other areas except the target service coverage area; finally, the living circle data corresponding to the residential land in the target area is determined according to the residential land data and the road network space data, so as to use the living circle data to extract the recreational service blind spot with the residential land as the service object from the blind spot range. The above method integrates and analyzes multi-dimensional data such as recreational service resource data, residential land data, and road network spatial data to identify recreational service blind spots caused by remote geographical location, insufficient facility configuration, inconvenient transportation, and especially spatial distribution mismatch. The embodiment of the present invention can quantify the recreational service blind spots in the target area, improve the accuracy of identifying recreational service blind spots, and provide a scientific basis for the objective evaluation and planning of recreational services.

[0032] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0033] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0035] Figure 1 A flow chart of a method for identifying a recreational service blind area provided by an embodiment of the present invention;

[0036] Figure 2 A technical circuit diagram of a method for identifying a blind spot in recreational services provided by an embodiment of the present invention;

[0037] Figure 3 A schematic diagram of a service coverage area provided by an embodiment of the present invention;

[0038] Figure 4 A schematic diagram of calculating a blind area range provided by an embodiment of the present invention;

[0039] Figure 5 A schematic diagram of a fifteen-minute living circle provided by an embodiment of the present invention;

[0040] Figure 6 A schematic diagram of calculating a recreational service blind area provided by an embodiment of the present invention;

[0041] Figure 7 A schematic diagram of the structure of a device for identifying blind spots in recreational services provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described in combination with the embodiments below. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] In today's rapidly developing urbanization process, urban planning is of vital importance for the layout and improvement of urban functions. Among them, recreational services are an important part of urban functions, and their planning and design are directly related to the quality of life of citizens and the image of the city. However, in urban planning, the identification of recreational service blind spots is particularly important for objectively evaluating the supply of service facilities. The necessity of technological development is mainly reflected in: 1. Improving the quality of life of citizens: Recreation service blind spots are weak links in urban spatial planning, and often exist in areas with high population density but lack of recreational resources such as parks and green spaces. The quality of life of citizens in these areas is seriously affected because they cannot enjoy sufficient recreational services. Therefore, identifying recreational service blind spots and discovering problems are the prerequisites for improving the quality of life of citizens. 2. Promoting balanced urban development: The balanced distribution of urban recreational services is an important manifestation of balanced urban development. The existence of service blind spots often means that urban resources are unevenly distributed, leading to unbalanced development within the city. By identifying service blind spots, resource allocation can be optimized in a targeted manner to promote balanced urban development. 3. Improving the image of the city: A city with a complete recreational service system can attract more tourists and improve the image of the city. The existence of service blind spots not only affects the quality of life of citizens, but also may affect the tourists' experience, thus damaging the city's image. Therefore, identifying and solving service blind spots is of great significance to improving the city's image.

[0044] In summary, the identification of recreational service blind spots reflects the current emphasis on improving the quality of life of citizens, promoting balanced urban development and enhancing the image of cities in the field of urban planning. With the application of advanced technologies such as GIS technology, big data analysis and walking index analysis, the identification of recreational service blind spots will become more accurate and efficient.

[0045] In addition to occupying an important position in the urban planning industry, the identification technology of recreational service blind spots also plays a key role in many fields. Specifically: In the design and layout of public facilities such as parks, squares, and stadiums, the identification technology of recreational service blind spots can help planners determine which areas lack sufficient recreational facilities or services, thereby optimizing the layout of facilities and ensuring balanced coverage of services. For example, in park planning, by identifying recreational service blind spots, additional facilities such as rest seats and public toilets can be added to improve the satisfaction and comfort of tourists. In barrier-free facility planning, the identification technology of recreational service blind spots is particularly important for groups with special needs such as visual impairment and hearing impairment. It can help planners identify and improve the layout and setting of barrier-free facilities to ensure that these groups can enjoy recreational services safely and conveniently. People with visual impairments cannot distinguish directions and specific locations, and need to pay special attention to the setting of barrier-free facilities. By identifying recreational service blind spots, barrier-free facilities such as blind paths and voice guide systems can be added to improve the recreational experience of special groups. In tourism development planning, the identification technology of recreational service blind spots can help tourist destinations identify and improve their recreational service facilities and enhance tourists' satisfaction and loyalty. In the construction of smart cities, the identification technology of recreational service blind spots can be used as an important tool for urban data analysis and decision support. By collecting and analyzing the usage data of recreational services, resource allocation can be optimized and the efficiency and quality of urban management can be improved. Combined with GIS technology and big data analysis, the identification technology of recreational service blind spots can provide strong data support for the planning and management of smart cities.

[0046] The service blind spot identification technology has broad application prospects and practical needs in many fields. With the continuous advancement and innovation of technology, I believe that these fields will be able to make better use of the service blind spot identification technology in the future, bringing more convenience and comfort to people's lives.

[0047] However, most existing technologies use buffers to calculate a circular range of a certain radius, or OD to calculate the straight-line distance from the service source point to the service object point, which is not accurate enough. In actual situations, the simplified geometric center point of the surface source will also have errors caused by irregular surfaces. In addition, due to ignoring road traffic conditions, road network density, service object matching, etc., the calculation is rough and cannot achieve the matching goal of refined services.

[0048] Based on this, the present invention provides a method, device, equipment and medium for identifying blind spots in recreational services, which can quantify blind spots in recreational services within the target area, improve the accuracy of identifying blind spots in recreational services, and provide a scientific basis for the objective evaluation and planning of recreational services.

[0049] To facilitate understanding of this embodiment, firstly, a method for identifying a recreational service blind area disclosed in an embodiment of the present invention is described in detail. Figure 1 The flowchart of a method for identifying a recreational service blind area is shown in FIG. 1 , and the method mainly includes the following steps S102 to S106:

[0050] Step S102, obtaining recreational service resource data, residential land data and road network space data corresponding to the target area.

[0051] Among them, recreational service resource data includes various parks, scenic spots, greenways, river and lake systems, etc.; residential land data includes urban residential areas, rural homesteads, multifunctional land with residential functions as the main area, etc.; road network spatial data is used to describe the spatial distribution of all road networks in the target area. In addition, it is also necessary to obtain the corresponding area data of the target area. For example, if the target area is a city, obtain the area data of the city area.

[0052] Step S104, determining the scale level and entry and exit point data corresponding to the recreation service source in the target area according to the recreation service resource data, and identifying the blind spot range in the target area based on the road network spatial data, the scale level and entry and exit point data corresponding to the recreation service source.

[0053] Among them, the scale level is related to the area of ​​the recreational service source. The larger the area, the higher the scale level and the larger the target service coverage area. The entry and exit point data can be multiple equidistant entry and exit points generated from the linear data corresponding to the recreational service source, or the actual entry and exit points corresponding to the recreational service source can be obtained. The blind area range is the range of other areas in the target area except the service coverage area corresponding to the recreational service source. In one example, the surface spatial data corresponding to each recreational service source is first extracted according to the recreational service resource data to determine the scale level corresponding to the recreational service source and generate the entry and exit point data corresponding to the recreational service source. Combined with the road network spatial data, the service coverage area centered on the location of the entry and exit point data is determined, and the service coverage area is intersected with the surface data of the city area. The area outside the intersection is the blind area.

[0054] Step S106, determining the living circle data corresponding to the residential land in the target area based on the residential land data and the road network space data, so as to use the living circle data to extract the recreational service blind spot with the residential land as the service object from the blind spot range.

[0055] Among them, the living circle data can be 15-minute living circle data. The 15-minute living circle is generally surrounded by urban trunk roads or land boundaries, with a residential population of 50,000 to 100,000 people and a service radius of 800 to 1,000 meters. It is connected with the management and service scope of blocks and streets, connecting several residential communities, and coordinating facilities such as primary and secondary schools, nursing homes, community hospitals, sports venues and parks; recreational service blind spots can be understood as areas that lack necessary recreational facilities, services or activities and cannot meet people's recreational needs. In one example, combined with road network spatial data, the living circle data centered on the geometric center point of residential land data is determined, and the living circle data is intersected with the blind area range. The intersecting part is the recreational service blind spot with residential land as the service object.

[0056] The method for identifying blind spots in recreational services provided in the embodiment of the present invention integrates and analyzes multi-dimensional data such as recreational service resource data, residential land data, and road network spatial data to identify blind spots in recreational services caused by remote geographical locations, insufficient facility configuration, inconvenient transportation, and especially spatial distribution mismatch. The embodiment of the present invention can quantify blind spots in recreational services within the target area, improve the accuracy of identifying blind spots in recreational services, and provide a scientific basis for the objective evaluation and planning of recreational services.

[0057] The method for identifying blind areas of recreational services provided by the embodiment of the present invention is a method for identifying blind areas of recreational services with recreational facilities as the source, road network as the medium, and residential land as the service object. The service radius level is divided for recreational facilities of different sizes, and a complete and quantifiable technical process for identifying weak areas of urban recreational services is formed by using data calculation and spatial statistical research methods, providing a scientific basis for the objective evaluation and planning of urban recreational services.

[0058] For easier understanding, see Figure 2 The technical roadmap of a method for identifying blind spots in recreational services is shown. For recreational service sources, their area values ​​are calculated to determine the scale level, and then the target accessibility service radius value is determined based on the scale level, and the surface is converted into line data to obtain linear data, and the entrance and exit point data are obtained using the equidistant sampling point method; the service network is calculated based on the road network spatial data to determine the service coverage area; the recreational service blind spot process data (i.e., the blind spot range) is determined based on the spatial data of the city area; in addition, the service network is calculated based on the road network spatial data and the residential land data to obtain the living circle data; the recreational service blind spot process data is intersected with the living circle data to obtain the recreational service blind spot with the residential land as the service object.

[0059] The embodiment of the present invention provides a specific implementation method of a method for identifying a recreational service blind spot.

[0060] For the aforementioned step S102, the basic data collected includes:

[0061] (1.1) Obtain the surface data of various parks, scenic spots, greenways, river and lake systems in the target area. This surface data is also the recreational service resource data.

[0062] (1.2) Obtain the surface data J of all residential areas in the target area, including urban residential areas, rural homesteads, and multifunctional land with residential functions as the main function. Use the [Feature to Point] function in the [Data Management] tool to convert the J surface data into its geometric center point and name it data J1.

[0063] (1.3) Obtain all road network spatial data in the target area. The more complete and comprehensive the road levels contained in this data are, the higher the accuracy of the calculation will be. Merge the road networks in the existing data to obtain the most complete version of the road network, which is named data L1.

[0064] (1.4) Obtain the surface data of the target area and name it data Z.

[0065] For the aforementioned step S104, the embodiment of the present invention provides an implementation method for determining the scale level and entry and exit point data corresponding to the recreation service source in the target area according to the recreation service resource data, and identifying the blind area range in the target area based on the road network spatial data, the scale level and entry and exit point data corresponding to the recreation service source, including the following steps 2.1 to 2.4:

[0066] Step 2.1, extracting planar spatial data corresponding to at least one recreation service source in the target area based on the recreation service resource data.

[0067] In one example, various parks, scenic spots, greenways, river and lake systems and other recreational service resources are integrated and summarized, and the plots are fused through the [Fusion] tool of ArcMap software. The fused plot data are split and processed to obtain non-overlapping surface spatial data, which is named data S.

[0068] Step 2.2, determining the scale level corresponding to the recreation service source according to the area value corresponding to the planar spatial data; and converting the planar spatial data into linear data, and generating multiple entry and exit points along the linear data to obtain the entry and exit point data corresponding to the recreation service source.

[0069] In one example, the area value of each planar spatial data is determined for scale classification. For example, a mapping relationship between area and scale is preconfigured, and the scale level corresponding to the corresponding recreational service source can be determined according to the area value of the planar spatial data.

[0070] In one example, you can use the [Feature to Line] tool in the [Data Management] tool to convert data S into linear data, and then use the [Generate Points Along Line] tool in the [Sampling] tool to generate four equidistant entry and exit point data for each recreational service source along the boundary line, and name it data S1.

[0071] Step 2.3, taking the location of the entry and exit point data as the center, based on the road network spatial data and the scale level corresponding to the recreational service source, determine the target service coverage area corresponding to the recreational service source.

[0072] In one example, the process of determining the target service coverage area corresponding to the recreation service source is as follows:

[0073] (a) Determine the target accessibility service radius value corresponding to the recreational service source based on the mapping relationship between scale level and accessibility service radius value;

[0074] (b) For each entry and exit point data corresponding to the recreational service source, the initial service coverage area corresponding to the entry and exit point data is determined based on the target accessibility service radius value and the road network spatial data, with the location of the entry and exit point data as the center.

[0075] In one implementation, the Network Analysis tool in ArcGIS is used. This method can analyze the service scope of recreational service sources based on the direction of the road network. It is more accurate and more in line with the actual situation than the method of analyzing the service area with a buffer zone. The data processing and analysis process is as follows: Use data L1 to construct a network dataset (NewNetwork Dataset). Specifically, open the service area analysis function (Service Area) of the Network Analyst toolbar in ArcGIS, create a new service area (New Service Area), and load data S1. Set the Breaks parameter in the attribute to the accessibility service radius value of recreational service sources of different scale levels, and then solve it to obtain the service coverage area of ​​the entry and exit point data based on this radius, named data F1, such as Figure 3 A schematic diagram of a service coverage area is shown.

[0076] (c) The initial service coverage area corresponding to each entry and exit point data of the recreational service source is fused to obtain the target service coverage area corresponding to the recreational service source.

[0077] Step 2.4, determining the range corresponding to other areas in the target area except the target service coverage area as the blind area range in the target area.

[0078] In one example, see Figure 4The diagram shown is a calculation diagram of a blind area range. By using the [Erase] tool of ArcMap software, the data F1 within the data range Z is erased, and the blind area range M1 of the recreational service source in the target area is obtained.

[0079] For the aforementioned step S106, the embodiment of the present invention provides a specific implementation method for determining the living circle data corresponding to the residential land in the target area based on the residential land data and the road network spatial data, so as to extract the recreational service blind spot with the residential land as the service object from the blind spot range by using the living circle data, including the following steps 3.1 to 3.2:

[0080] Step 3.1, taking the geometric center point of the residential land data as the center, based on the preset living circle service radius value and road network spatial data, determine the living circle data corresponding to the residential land in the target area.

[0081] Among them, the fifteen-minute living circle is generally surrounded by urban trunk roads or land boundaries, with a resident population of 50,000 to 100,000 people and a service radius of 800 to 1,000 meters. It is connected with the management and service scope of blocks and streets, connecting several residential communities, and coordinating supporting facilities such as primary and secondary schools, nursing homes, community hospitals, sports venues and parks. An embodiment of the present invention provides a method for calculating a fifteen-minute living circle: based on a network dataset (New Network Dataset) constructed with data L1, use the service area analysis function (Service Area) of the Network Analyst toolbar. Create a new service area (NewService Area) and load data J1. Set the Breaks parameter in the attributes to the fifteen-minute living circle service radius, and then solve to obtain the fifteen-minute living circle corresponding to the residential land in the target area, named F2, such as Figure 5 A schematic diagram of a fifteen-minute life circle is shown.

[0082] Step 3.2, intersect the living circle data with the blind area range, and use the area obtained by the intersection as the recreational service blind area serving residential land.

[0083] In one example, see Figure 6 The figure shows a calculation diagram of a recreational service blind spot. Through the [Intersect] tool of ArcMap software, the blind spot range M1 of the recreational service source and the 15-minute living circle F2 corresponding to the residential land are superimposed and analyzed, and the intersecting part is identified as the service blind spot of the recreational service source that serves the residential land in the target area, referred to as the recreational service blind spot.

[0084] In summary, the technical key points of the method for identifying recreational service blind spots provided by the embodiment of the present invention are: (i) Application of GIS technology: GIS is one of the commonly used technical means in urban planning. Through GIS technology, urban spatial data can be collected, stored, analyzed and visualized, providing strong support for the identification of recreational service blind spots. (ii) Service accessibility analysis based on facilities: Accessibility analysis is one of the important indicators for measuring the quality of urban walking environment. Different from the previous accessibility analysis using buffer calculation method, the embodiment of the present invention uses the network analysis of the road system to evaluate the walking accessibility of recreational resources such as urban parks in the identification of recreational service blind spots, which is more in line with the actual situation. Identify which areas of residents cannot enjoy sufficient recreational services within walking distance, and then determine the service blind spots. (iii) Spatial sampling technology: Different from the previous identification method of using the center point of the park as the starting point, the embodiment of the present invention uses the equidistant sampling method to set the entrance and exit points at equal intervals on the outer edge of recreational facilities such as parks as the starting point of service accessibility analysis, making the analysis more accurate. (IV) Methods of associating with specific service objects: In the past, the analysis of service blind spots only identified areas outside the service scope of the facilities. The embodiment of the present invention takes the residential life service circle as the main area for residents' activities, and cross-analyzes it with the general recreational service blind spots, so as to more accurately identify the areas with more urgent service needs for residents in the residential area, and provide a more accurate spatial scope for the next step of planning the layout of the land for adding or adjusting recreational service facilities.

[0085] On this basis, the embodiment of the present invention uses the spatial analysis and data processing capabilities of ArcGIS technology, takes residential areas as the core service objects, and accurately identifies the blind spots of recreational facilities in the region. Through the integrated analysis of multi-dimensional data such as population size, residential distribution, land use, and transportation network, it can identify those recreational service blank areas caused by remote geographical location, insufficient facility configuration, inconvenient transportation, and mismatched recreational space layout, and can also reveal those neglected or underutilized recreational service spaces. These detailed data and analysis results will enable decision makers to have a clearer understanding of the distribution and service capabilities of recreational service facilities in the region, and provide technical support for optimizing the layout of recreational facilities and ensuring that recreational facilities match the needs of residential areas, thereby formulating more reasonable and scientific urban planning strategies.

[0086] Based on the above-mentioned embodiment, the present invention provides a device for identifying a recreational service blind spot. Figure 7 The structural diagram of a device for identifying blind spots in recreational services is shown in FIG. The device mainly includes the following parts:

[0087] Data acquisition module 702, used to acquire recreational service resource data, residential land data and road network spatial data corresponding to the target area;

[0088] The blind spot identification module 704 is used to determine the scale level and entry and exit point data corresponding to the recreation service source in the target area according to the recreation service resource data, and identify the blind spot range in the target area based on the road network spatial data, the scale level and entry and exit point data corresponding to the recreation service source;

[0089] The blind spot extraction module 706 is used to determine the living circle data corresponding to the residential land in the target area based on the residential land data and the road network space data, so as to use the living circle data to extract the recreational service blind spot with the residential land as the service object from the blind spot range.

[0090] The device for identifying blind spots of recreational services provided in the embodiment of the present invention integrates and analyzes multi-dimensional data such as recreational service resource data, residential land data, and road network space data to identify blind spots of recreational services caused by remote geographical location, insufficient facility configuration, inconvenient transportation, and especially spatial distribution mismatch. The embodiment of the present invention can quantify blind spots of recreational services in the target area, improve the accuracy of identifying blind spots of recreational services, and provide a scientific basis for the objective evaluation and planning of recreational services.

[0091] In one implementation, the blind spot identification module 704 is specifically configured to:

[0092] Extracting planar spatial data corresponding to at least one recreational service source in the target area according to the recreational service resource data;

[0093] Determine the scale level corresponding to the recreation service source according to the area value corresponding to the planar spatial data; and convert the planar spatial data into linear data, and generate multiple entry and exit points along the linear data to obtain the entry and exit point data corresponding to the recreation service source.

[0094] In one implementation, the blind spot identification module 704 is specifically configured to:

[0095] Taking the location of the entry and exit point data as the center, based on the road network spatial data and the scale level corresponding to the recreational service source, determine the target service coverage area corresponding to the recreational service source;

[0096] The range corresponding to other areas in the target area except the target service coverage area is determined as the blind area range in the target area.

[0097] In one implementation, the blind spot identification module 704 is specifically configured to:

[0098] According to the mapping relationship between scale level and accessibility service radius value, determine the target accessibility service radius value corresponding to the recreation service source;

[0099] For each entry and exit point data corresponding to the recreational service source, the initial service coverage area corresponding to the entry and exit point data is determined based on the target accessibility service radius value and the road network spatial data, with the location of the entry and exit point data as the center;

[0100] The initial service coverage area corresponding to each entry and exit point data of the recreation service source is fused to obtain the target service coverage area corresponding to the recreation service source.

[0101] In one implementation, the blind spot extraction module 706 is specifically configured to:

[0102] Taking the geometric center point of the residential land data as the center, based on the preset living circle service radius value and road network spatial data, determine the living circle data corresponding to the residential land in the target area.

[0103] In one implementation, the blind spot extraction module 706 is specifically configured to:

[0104] The living circle data is intersected with the blind area, and the area obtained by the intersection is used as a blind area for recreational services that serves residential land.

[0105] The device provided in the embodiment of the present invention has the same implementation principle and technical effects as those of the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference may be made to the corresponding contents in the aforementioned method embodiment.

[0106] An embodiment of the present invention provides an electronic device. Specifically, the electronic device includes a processor and a storage device. The storage device stores a computer program, and when the computer program is executed by the processor, it executes the method described in any one of the above-mentioned implementation methods.

[0107] The computer program product of the readable storage medium provided in the embodiment of the present invention includes a computer-readable storage medium storing program code, and the instructions included in the program code can be used to execute the methods described in the previous method embodiments. The specific implementation can be referred to the previous method embodiments, which will not be repeated here.

[0108] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0109] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method for identifying blind areas of recreational services, characterized in that: include: Obtain recreational service resource data, residential land data and road network spatial data corresponding to the target area; Determine the scale level and entry and exit point data corresponding to the recreation service source in the target area according to the recreation service resource data, and identify the blind area range in the target area based on the road network spatial data, the scale level and the entry and exit point data corresponding to the recreation service source; wherein the entry and exit point data are multiple equidistant entry and exit point data generated from the linear data corresponding to the recreation service source; Determine the living circle data corresponding to the residential land in the target area according to the residential land data and the road network spatial data, so as to extract the recreational service blind area with the residential land as the service object from the blind area by using the living circle data; Based on the road network spatial data, the scale level corresponding to the recreation service source and the entry and exit point data, the blind spot range in the target area is identified, including: taking the location of the entry and exit point data as the center, based on the road network spatial data and the scale level corresponding to the recreation service source, determining the target service coverage area corresponding to the recreation service source; determining the range corresponding to other areas in the target area except the target service coverage area as the blind spot range in the target area; Taking the location of the entry and exit point data as the center, based on the road network spatial data and the scale level corresponding to the recreation service source, determine the target service coverage area corresponding to the recreation service source, including: determining the target accessibility service radius value corresponding to the recreation service source according to the mapping relationship between the scale level and the accessibility service radius value; for each entry and exit point data corresponding to the recreation service source, taking the location of the entry and exit point data as the center, based on the target accessibility service radius value and the road network spatial data, determine the initial service coverage area corresponding to the entry and exit point data; merge the initial service coverage areas corresponding to each entry and exit point data of the recreation service source to obtain the target service coverage area corresponding to the recreation service source.

2. The method for identifying blind areas of recreational services according to claim 1, characterized in that: Determining the scale level and entry and exit point data corresponding to the recreation service source in the target area according to the recreation service resource data includes: Extracting planar spatial data corresponding to at least one recreational service source in the target area according to the recreational service resource data; Determine the scale level corresponding to the recreation service source according to the area value corresponding to the planar spatial data; and convert the planar spatial data into linear data, and generate multiple entry and exit points along the linear data to obtain the entry and exit point data corresponding to the recreation service source.

3. The method for identifying blind areas of recreational services according to claim 1, characterized in that: Determining the living circle data corresponding to the residential land in the target area according to the residential land data and the road network spatial data includes: Taking the geometric center point of the residential land data as the center, based on the preset living circle service radius value and the road network spatial data, the living circle data corresponding to the residential land in the target area is determined.

4. The method for identifying blind areas of recreational services according to claim 1, characterized in that: The recreation service blind area with the residential land as the service object is extracted from the blind area by using the living circle data, including: The living circle data is intersected with the blind area, and the area obtained by the intersection is used as a recreational service blind area with the residential land as the service object.

5. A device for identifying blind areas of recreational services, characterized in that: include: A data acquisition module is used to obtain recreational service resource data, residential land data and road network spatial data corresponding to the target area; A blind spot identification module is used to determine the scale level and entry and exit point data corresponding to the recreation service source in the target area according to the recreation service resource data, and identify the blind spot range in the target area based on the road network spatial data, the scale level and the entry and exit point data corresponding to the recreation service source; wherein the entry and exit point data is a plurality of equidistant entry and exit point data generated from the linear data corresponding to the recreation service source; A blind spot extraction module is used to determine the living circle data corresponding to the residential land in the target area according to the residential land data and the road network spatial data, so as to extract the recreational service blind spot with the residential land as the service object from the blind spot range by using the living circle data; The blind spot identification module is specifically used to: determine the target service coverage area corresponding to the recreation service source based on the road network spatial data and the scale level corresponding to the recreation service source, with the location of the entry and exit point data as the center; determine the range corresponding to other areas in the target area except the target service coverage area as the blind spot range in the target area; The blind spot identification module is also specifically used to: determine the target accessibility service radius value corresponding to the recreational service source according to the mapping relationship between the scale level and the accessibility service radius value; for each of the entry and exit point data corresponding to the recreational service source, determine the initial service coverage area corresponding to the entry and exit point data based on the target accessibility service radius value and the road network spatial data, with the location of the entry and exit point data as the center; merge the initial service coverage areas corresponding to each of the entry and exit point data of the recreational service source to obtain the target service coverage area corresponding to the recreational service source.

6. The device for identifying blind areas of recreational services according to claim 5, characterized in that: The blind spot recognition module is specifically used for: Extracting planar spatial data corresponding to at least one recreational service source in the target area according to the recreational service resource data; Determine the scale level corresponding to the recreation service source according to the area value corresponding to the planar spatial data; and convert the planar spatial data into linear data, and generate multiple entry and exit points along the linear data to obtain the entry and exit point data corresponding to the recreation service source.

7. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the method according to any one of claims 1 to 4.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the method according to any one of claims 1 to 4.

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