A community life circle delimitation method, device, equipment and medium

Abstract

The application discloses a community life circle delimitation method and device, equipment and medium, relates to the life circle planning field, and includes the following steps: generating a corresponding road network eye through a linear ground object in a target area, and merging residential land in the road network eye range to generate a residential area; a hexagonal grid corresponding to the target area is constructed, and the hexagonal grid is extracted to obtain a walkable grid; a target growth origin is calculated based on the residential area and the walkable grid, and the target growth origin is taken as a starting point to construct a target growth range to generate a corresponding hexagonal grid area, and an initial range of the life circle is obtained; the initial range of the life circle is integrated to obtain an integrated life circle, and the integrated life circle is structurally divided according to the activity intensity of the crowd to obtain a community life circle containing different density areas. As can be seen from the above, in the application, multi-source data is utilized to realize accurate delimitation and multi-dimensional evaluation of community life circles in large areas such as provinces and cities.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of life circle planning, in particular to a community life circle demarcation method, device, equipment and medium. BACKGROUND

[0002] Community life circle planning and construction is an important starting point for practicing the people-centered development concept, building high-quality livable environment and promoting high-level urban governance. Scientific demarcation and evaluation of community life circle helps to accurately plan and configure urban related service facilities, improve residents' quality of life and enhance people's happiness and sense of gain. Community life circle gradually moves towards business application in urban planning, which puts forward the requirements of reliability, standardization and tooling for related analysis technology and data basis.

[0003] Community life circle demarcation mainly determines the spatial range and internal structure of community life circle, which is the basis for evaluating community life circle. In recent years, with the continuous updating of urban planning concept, the demarcation method of community life circle is also evolving. In existing research, the demarcation method is mainly based on geographic environment and resident behavior simulation, which uses a variety of data to simulate the real physical environment, such as topographic map, land survey data, fine location data, population portrait, POI (Point of Interest) and the like, to build a high-precision community environment model. However, this method requires known community range and detailed population distribution, and is only suitable for small area life circle demarcation with detailed community planning data, which has high requirements for data reliability and standardization, and is difficult to realize life circle demarcation in large areas such as provinces and cities.

[0004] Therefore, how to make full use of authoritative survey data and spatio-temporal big data and other multi-source data to demarcate and evaluate the life circle in large areas such as provinces and cities has become a problem to be solved. SUMMARY

[0005] Therefore, the purpose of the present application is to provide a community life circle demarcation method, device, equipment and medium, which can utilize authoritative survey data and spatio-temporal big data and other multi-source data to realize accurate demarcation and multi-dimensional evaluation of community life circle in large areas such as provinces and cities. The specific scheme is as follows:

[0006] In a first aspect, the present application provides a community life circle demarcation method, comprising:

[0007] generating a corresponding road network by a linear ground object in the target area, and merging residential land within the road network to generate a residential area;

[0008] constructing a hexagonal grid corresponding to the target area based on a preset grid construction rule, and extracting the hexagonal grid according to a preset grid determination rule to obtain a walkable grid;

[0009] calculate a target growth origin based on the residential area and the walkable grid, construct a target growth range taking the target growth origin as a starting point, and then generate a corresponding hexagonal grid area based on the target growth origin and the target growth range to obtain an initial range of a life circle;

[0010] integrate the initial range of the life circle to obtain an integrated life circle, and divide the integrated life circle into a community life circle containing different density areas according to the activity intensity of the crowd.

[0011] Optionally, the generating of the corresponding road network based on the linear ground objects in the target area and the merging of the residential land in the road network range to generate the residential area comprises:

[0012] determining an area threshold of the road network based on the technical specification related to the urban residential area planning;

[0013] performing map generalization on the central urban road network in the target area based on the area threshold and the linear ground object selection method to obtain a generalization road network;

[0014] performing aggregation on the residential land in the road network range based on the generalization road network to obtain aggregated residential land, and generating the residential area based on the aggregated residential land and the area threshold.

[0015] Optionally, the extracting of the hexagonal grid based on the preset grid determination rule to obtain the walkable grid comprises:

[0016] determining a resident walkable grid determination rule based on the urban land type and the urban road type;

[0017] extracting a first hexagonal grid intersecting the urban road monitoring data based on the resident walkable grid determination rule to obtain a first walkable area, wherein the urban road monitoring data comprises the urban road type;

[0018] extracting a second hexagonal grid not intersecting the urban road monitoring data based on the resident walkable grid determination rule;

[0019] performing geographical spatial correlation mapping on the second hexagonal grid based on the land use type to obtain a mapping result, and extracting the second hexagonal grid based on the mapping result and a preset walkable land use type rule to obtain a second walkable area;

[0020] merging the first walkable area and the second walkable area to obtain the walkable grid.

[0021] Optionally, the target growth origin is calculated based on the residential area and the walkable grid, comprising:

[0022] The residential area and the walkable grid are intersected to calculate a reachable centroid point in the residential area, and the reachable centroid point is determined as the target growth origin.

[0023] Optionally, the corresponding hexagonal grid area is generated based on the target growth origin and the target growth range to obtain the initial range of the life circle, comprising:

[0024] The growth end condition is determined based on a preset life circle growth distance and a preset non-walkable area, and the target growth origin is taken as a starting point and the growth end condition is taken as an ending point to construct a target growth range to obtain the initial range of the life circle.

[0025] Optionally, the initial range of the life circle is integrated to obtain an integrated life circle, and the integrated life circle is structurally divided according to the population activity intensity to obtain a community life circle containing different density areas, comprising:

[0026] The initial range of the life circle is removed, corrected and merged to obtain the integrated life circle.

[0027] The spatial distribution of the population activity intensity is obtained by analyzing the kernel density of the population heat value in the integrated life circle.

[0028] The integrated life circle is structurally divided according to the natural breakpoint method and based on the spatial distribution of the population activity intensity to obtain a community life circle containing different density areas.

[0029] Optionally, the community life circle delineation method further comprises

[0030] The coverage rate of the community life circle is evaluated based on the number of facilities in the community life circle.

[0031] The compliance rate of the community life circle is evaluated according to the residents' life needs.

[0032] The convenience degree of the community life circle is evaluated through the facility distribution and walkability in the community life circle.

[0033] The matching degree of the facilities and the population in the community life circle is evaluated.

[0034] In a second aspect, the present application provides a community life circle delineation device, comprising:

[0035] The residential area generation module is configured to generate a corresponding road network by linear ground objects in the target area, and to merge residential land in the range of the road network to generate a residential area.

[0036] The grid acquisition module is configured to construct a hexagonal grid corresponding to the target area based on a preset grid construction rule, and to extract the hexagonal grid according to a preset grid determination rule to obtain a walkable grid.

[0037] The life circle initial range determination module is configured to calculate a target growth origin based on the residential area and the walkable grid, to construct a target growth range with the target growth origin as a starting point, and to generate a corresponding hexagonal grid area based on the target growth origin and the target growth range to obtain a life circle initial range.

[0038] The community life circle determination module is configured to integrate the life circle initial range to obtain an integrated life circle, and to divide the integrated life circle into different density areas according to the activity intensity of the crowd to obtain a community life circle.

[0039] In a third aspect, the present application provides an electronic device, comprising:

[0040] A memory configured to save a computer program;

[0041] A processor configured to execute the computer program to implement the community life circle delineation method.

[0042] In a fourth aspect, the present application provides a computer readable storage medium configured to save a computer program; wherein the computer program is executed by a processor to implement the community life circle delineation method.

[0043] In the present application, firstly, a corresponding road network is generated through linear ground objects in the target area, and residential land within the road network range is merged to generate a residential area; a hexagonal grid corresponding to the target area is constructed based on a preset grid construction rule, and the hexagonal grid is extracted according to a preset grid determination rule to obtain a walkable grid; a target growth origin is calculated based on the residential area and the walkable grid, and the target growth origin is taken as a starting point to construct a target growth range, and then a corresponding hexagonal grid area is generated based on the target growth origin and the target growth range to obtain an initial range of a life circle; the initial range of the life circle is integrated to obtain an integrated life circle, and the integrated life circle is structurally divided according to the activity intensity of the crowd to obtain a community life circle containing different density areas. As can be seen from the above, the present application firstly generates a corresponding road network through linear ground objects, and generates a residential area based on the road network; then the constructed hexagonal grid is extracted to obtain a walkable grid, and a target growth range is constructed based on the residential area and the walkable grid, and a corresponding hexagonal grid area is generated to obtain an initial range of a life circle; finally, the initial range of the life circle is integrated to obtain a community life circle, and the community life circle is structurally divided and evaluated. In this way, by using authoritative survey data and spatiotemporal big data and other multi-source data, the accurate delineation and multi-dimensional evaluation of the community life circle in a large area of a province or city are realized. BRIEF DESCRIPTION OF DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor based on the provided drawings.

[0045] Figure 1 A community life circle delineation method technical roadmap disclosed by the present application;

[0046] Figure 2 A community life circle delineation method flowchart disclosed by the present application;

[0047] Figure 3 A residential area growth schematic diagram disclosed by the present application;

[0048] Figure 4 A walkable space construction schematic diagram disclosed by the present application;

[0049] Figure 5 A life circle initial range growth schematic diagram disclosed by the present application;

[0050] Figure 6A life circle integration schematic diagram disclosed by the present application;

[0051] Figure 7 A community life circle delineation device structure schematic diagram disclosed by the present application;

[0052] Figure 8 An electronic device structure diagram disclosed by the present application. DETAILED DESCRIPTION

[0053] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0054] Community life circle planning and construction is an important starting point for practicing the people-centered development concept, building high-quality livable environment, and promoting high-level urban governance. Scientific delineation and evaluation of community life circle helps to accurately plan and allocate urban related service facilities, improve residents' quality of life, and enhance people's happiness and sense of gain. Community life circle gradually moves towards business application in urban planning, and puts forward requirements for reliability, standardization and tooling of related analysis technology and data basis. Community life circle delineation mainly determines the spatial range and internal structure of community life circle, and is the basis for evaluating community life circle. In recent years, with the continuous updating of urban planning concepts, the delineation method of community life circle is also evolving. In existing research, the delineation method is mainly based on geographic environment and resident behavior simulation, and a variety of data are used to simulate the real physical environment, such as topographic map, land survey data, fine location data, population portrait, POI (Point of Interest), etc., to build a high-precision community environment model. However, this method needs to know the community range and detailed population distribution, and is only suitable for small area life circle delineation with detailed community planning data. The reliability and standardization of data are required, and it is difficult to realize the life circle delineation of large areas such as provinces and cities. Therefore, the present application will specifically introduce a community life circle delineation method that can solve the above problems.

[0055] The technical roadmap of the community life circle delineation method of the present application can be seen from Figure 1 which specifically can include data preprocessing, community life circle delineation, and community life circle evaluation.

[0056] Referring to Figure 2 The embodiment of the present application discloses a community life circle delineation method, which can include:

[0057] Step S11, generate a corresponding road mesh through linear ground objects in the target area, and merge residential land within the road mesh to generate a residential area.

[0058] In this embodiment, before generating a corresponding road mesh through linear ground objects in the target area, the pre-collected data is first pre-processed. Specifically, the pre-collected population data is cleaned, and then the cleaned population data is spatialized to convert the cleaned population data into a data form with spatial significance. Then the POI data is reclassified, and finally the reclassified POI data is unified with the population distribution spatialization data and other related data for spatial reference.

[0059] In this embodiment, the area threshold of the road mesh is determined according to the technical specification related to urban residential area planning; the road network in the target area is map generalized based on the area threshold and the linear ground object selection method to obtain the generalized road mesh; the residential land within the road mesh is aggregated based on the generalized road mesh to obtain the aggregated residential land, and the residential area is generated based on the aggregated residential land and the area threshold. The growth of the residential area is shown in the schematic diagram Figure 3 According to the technical specification related to the fifteen-minute life circle configuration standard in the "Urban Residential Area Planning and Design Standard" (GB50180-2018), the area threshold of the road mesh can be set to 35-60 hectares. Then, based on the stroke feature considering linear ground object progressive selection method, the central urban road network in the target area is map generalized to obtain the generalized road mesh, and under the constraint of the generalized road mesh, the residential land is buffer clustered and merged. Specifically, a buffer zone of a certain range for each residential area is constructed, and the intersecting buffer zones are further identified to realize regional aggregation, and the area size suitable residential area is formed in combination with the mesh area threshold. The linear ground objects mainly include roads, railways, rivers, etc. It should be noted that the linear ground objects mainly include roads, railways, rivers, etc. The linear ground objects have a natural partitioning effect on residential areas and resident activity ranges, and through the constraint of linear ground objects, the residential area generated after the residential land is merged can be prevented from being too large or too small.

[0060] Step S12, construct a hexagonal grid corresponding to the target area based on a preset grid construction rule, and extract the hexagonal grid based on a preset grid determination rule to obtain a walkable grid.

[0061] In this embodiment, the determination rule of the resident walkable grid is determined based on the urban land type and the urban road type; the hexagonal grid intersecting the urban road monitoring data is extracted according to the determination rule of the resident walkable grid to obtain a first hexagonal grid, and the first hexagonal grid is taken as a first walkable area; wherein the urban road monitoring data comprises the urban road type; the hexagonal grid not intersecting the urban road monitoring data is extracted according to the determination rule of the resident walkable grid to obtain a second hexagonal grid; the second hexagonal grid is associated and mapped in geographical space based on the land use type to obtain a mapping result, and the second hexagonal grid is extracted based on the mapping result and a preset walkable land use type rule to obtain a second walkable area; and the first walkable area and the second walkable area are merged to obtain a walkable grid.

[0062] The construction schematic diagram of the walkable space is shown in FIG. 2. Figure 4 It should be noted that, since the hexagon has isotropic characteristics, the direction deviation in the growth process can be avoided, and the hexagonal grid has higher connectivity than the grid, can more finely control local interaction, and improve the simulation accuracy. Therefore, in this embodiment, the hexagonal grid is constructed to simulate the resident travel condition, and the side length of the hexagonal grid is set to 10 m as the minimum unit for simulating the resident travel condition. On the basis of the constructed hexagonal grid covering the whole region, the determination rule of the resident walkable / walkable grid is proposed based on the urban current land type in the national land survey, and the segmentation effect of roads of different grades and types on community living space is comprehensively considered, so as to provide a basis for the extraction of the walkable / walkable grid in the subsequent step.

[0063] In the extraction of the walkable grid, first, the hexagonal grid intersecting the main road and the secondary road of the urban space monitoring road data is extracted to obtain a first hexagonal grid, and the first hexagonal grid is taken as a first walkable area; second, the hexagonal grid not intersecting the road data is extracted, and the hexagonal grid falling within the building contour is removed to obtain a second hexagonal grid; the land use type of the third national land change survey result data is associated and mapped in geographical space with the second hexagonal grid, and the second hexagonal grid is extracted based on the mapping result and the walkable land use type rule to obtain a second walkable area; finally, the first walkable area and the second walkable area are merged, which is the final walkable grid.

[0064] In step S13, a target growth origin is calculated based on the residential area and the walkable grid, and the target growth origin is taken as a starting point to construct a target growth range, and then a corresponding hexagonal grid area is generated based on the target growth origin and the target growth range to obtain an initial range of the living circle.

[0065] In this embodiment, the target growth origin is calculated based on the residential area and the walkable grid, including: intersecting the residential area and the walkable hexagonal grid to calculate the centroid point of the reachable part in the residential area, and determining the centroid point as the target growth origin. The initial range growth diagram of the life circle is as shown in Figure 5 Specifically, the residential area generated by merging the residential land is intersected with the walkable hexagonal grid to calculate the centroid point of the reachable part in the residential area, and the hexagonal grid where the centroid point is located is taken as the target growth origin. Meanwhile, considering the walking differences of different groups of people, the community population structure is calculated in combination with the residential area range, residential population and age structure data. In this embodiment, the maximum growth distance is determined based on 15-minute walking, and infants are ignored.

[0066] In this embodiment, the corresponding hexagonal grid area is generated based on the target growth origin and the target growth range to obtain the initial range of the life circle, including: determining the growth end condition based on the preset life circle growth distance and the preset non-walkable area, and constructing the target growth range with the target growth origin as the starting point and the growth end condition as the terminal point to obtain the initial range of the life circle. The walking ability of pedestrians, expected walking time and surrounding environment and other multiple factors are comprehensively considered to achieve the conditions of the maximum growth distance of the life circle and the end of the hexagonal growth of the non-walkable area, so as to simulate the 15-minute walkable life circle of community residents by hexagonal crystal growth. The target growth range constructed with the target growth origin as the starting point is taken as the initial range of the life circle.

[0067] In step S14, the initial range of the life circle is integrated to obtain the integrated life circle, and the integrated life circle is structurally divided according to the activity intensity of the population to obtain a community life circle containing different density areas.

[0068] In this embodiment, the initial range of the life circle is removed, modified and merged to obtain the integrated life circle. The life circle integration diagram is as shown in Figure 6 Specifically, the community life circle with a smaller area and unable to independently provide complete facilities and services is removed to reduce the interference on the overall life circle division; the life circle is modified to exclude unreachable areas to ensure that the life circle is more accurate and more in line with the actual living needs of residents; when the area overlap rate of two life circles exceeds 50%, they are merged into a larger life circle to more effectively utilize resources and avoid duplication of services and facilities. After the above removal, modification and merging operations, the integrated life circle can be obtained.

[0069] In this embodiment, the kernel density of the population heat value in the integrated life circle is analyzed to obtain the spatial distribution of the population activity intensity; and the integrated life circle is divided into different density areas according to the natural breakpoint method and based on the spatial distribution of the population activity intensity. It can be understood that, in this embodiment, the population activity heat data is first uniformly spatialized to the above-mentioned walkable grid; secondly, the spatial distribution of the activity intensity is obtained by analyzing the kernel density of the population heat value of the non-building in the community life circle; and finally, the integrated life circle is divided into the high-density area, the medium-density area and the low-density area of the activity according to the natural breakpoint method, and the area without actual activity distribution within the 15-minute walkable area of the community residents is divided into the no-activity area.

[0070] In this embodiment, after the community life circle containing different density areas is obtained, the coverage rate of the community life circle can be evaluated based on the number of facilities in the community life circle; and the standard rate of the community life circle can be evaluated according to the living needs of the residents. Specifically, for the coverage rate and the standard rate, the number of each type of public service facility in the community life circle and the number of the large category to which the public service facility belongs are counted, so as to calculate the coverage of the public service facility in the community life circle. If the community life circle is within the 15-minute walkable area of the jth large category and the kth small category of the public service facility , the public service facility is within the scope of the community life circle, it is said that the community life circle is covered by the public service facility, and the specific formula is as follows:

[0071] ;

[0072] wherein, s represents the community life circle s in the urban area i, s represents whether the public service facility exists in the community life circle s, and the existence means that the community life circle is covered by the public service facility, otherwise, the community is not covered by the public service facility. s represents the coverage rate of the i th urban public service facility, which represents the coverage level of different areas, and n represents the number of community life circles included in the urban area. s represents the coverage rate of the public service facility in the whole city, which represents the overall level of the whole city.

[0073] ​In this embodiment, on the basis of the coverage, the compliance rate of the community life circle is evaluated. Compared with the public service facility coverage, the compliance rate increases the actual needs of residents in daily life, the replacement relationship between various public service facilities, and other aspects, which can more objectively and specifically measure the community life circle. For shopping, education, medical care, fitness, old-age care, culture, transportation and other public service facilities, each sub-category of public service facilities only needs to exist one to be considered as compliance. The standards for compliance are specifically defined as follows.

[0074] Among them, shopping compliance: at least one of market, fresh supermarket, mall, and supermarket exists; education compliance: kindergarten and primary school exist at the same time and at least one of each exists; medical compliance: at least one of community health service center, work therapy and fitness service center, and community health service station exists, if the community health service center does not exist, the comprehensive hospital can be used instead; fitness compliance: at least one of multi-functional sports ground and national fitness exists; old-age care compliance: at least one of nursing home, old-age nursing home, day care center for the elderly, and comprehensive service center for the elderly exists; culture compliance: at least one of cultural activity center and activity station, cultural square and exhibition hall exists; transportation compliance: at least one of rail transit and road transportation exists. The specific formula is as follows:

[0075] ;

[0076] Shopping compliance:

[0077] ;

[0078] Education compliance:

[0079] ;

[0080] Medical compliance:

[0081] ;

[0082] Fitness compliance:

[0083] ;

[0084] Old-age care compliance:

[0085] ;

[0086] Culture compliance:

[0087] ;

[0088] Transportation compliance:

[0089] ;

[0090] In this embodiment, the convenience of the community life circle is evaluated by the distribution of facilities in the community life circle and walkability. Specifically, the convenience of the community life circle is mainly to reflect the distribution of various public service facilities and walkability, and the calculation comprehensively considers the total facility score, the walking attenuation score, and the community public service facility diversity index. The specific convenience index calculation formula is as follows:

[0091] ;

[0092] wherein, represents the convenience index of a community life circle, represents the total facility score, which represents the weighted score sum of the number of public service facilities in the life circle range and the weight, n represents the number of accessible facility types in the community life circle i, represents the weight of the jth facility, represents the accessible number of the jth facility in the community life circle i; represents the walking attenuation score, which is the weighted score sum according to the shortest path distance attenuation and the area proportion of residential area as the weight, m represents the number of residential blocks in the community life circle i, represents the area proportion weight of the kth residential block, represents the shortest path distance from the centroid of the kth residential block to the jth facility, represents the sum of the shortest path according to the distance attenuation; represents the diversity of various types of facilities in the community life circle i, which is calculated by the Shannon-Wiener index, wherein S represents the total facility category in the community life circle range, represents the proportion of the lth subcategory in the category.

[0093] In the embodiment, the matching degree of facilities and population in the community life circle is evaluated. Specifically, the matching degree of facilities and population in the community life circle is evaluated by constructing a facility and population matching index. First, facility density calculation is performed: based on the kernel density method, facility service POIs are analyzed to obtain the actual service space of different facility services within a certain radius, which is used to express the supply distribution of facility services; then, the supply-demand matching population carrying capacity calculation is performed: referring to the per thousand people index, the population carrying capacity of various facility services, that is, the supply-demand matching carrying population interval, is converted, which can be used to measure the supply-demand matching status of facility services in the community life circle; next, the population distribution is calculated: based on the spatial correlation of residential areas and land unit population quantity and age structure, spatial correlation and mapping are constructed to generate population spatial distribution data in the central urban area, which is used to express the demand distribution of public service facilities; finally, the facility and population matching degree is analyzed: the facility and population matching analysis is performed by comparing the above supply-demand matching population carrying capacity and the population data generated based on big data correlation, and the facilities are divided into five categories: facility over-provision, obvious over-provision, facility mismatch, obvious mismatch and basic matching.

[0094] In the embodiment, first, a corresponding road network is generated from linear ground objects in the target area, and residential land within the road network is merged to generate residential areas; a hexagonal grid corresponding to the target area is constructed based on a preset grid construction rule, and the hexagonal grid is extracted based on a preset grid determination rule to obtain a walkable grid; a target growth origin is calculated based on the residential areas and the walkable grid, and the target growth origin is used as a starting point to construct a target growth range, and then a corresponding hexagonal grid area is generated based on the target growth origin and the target growth range to obtain an initial life circle range; the initial life circle range is integrated to obtain an integrated life circle, and the integrated life circle is structurally divided based on the activity intensity of the population to obtain a community life circle containing different density areas. As can be seen from the above, in the embodiment, a corresponding road network is first generated from linear ground objects, and residential areas are generated based on the road network; then, the constructed hexagonal grid is extracted to obtain a walkable grid, and a target growth range is constructed based on the residential areas and the walkable grid, and a corresponding hexagonal grid area is generated to obtain an initial life circle range; finally, the initial life circle range is integrated to obtain a community life circle, and the community life circle is structurally divided and evaluated. In this way, by using survey data and spatiotemporal big data and other multi-source data, accurate delineation and multi-dimensional evaluation of community life circles in a large area of a province or city are realized.

[0095] Correspondingly, referring to Figure 7 The embodiment of the present application also provides a community life circle delineation device, which can include:

[0096] The residential area generation module 11 is configured to generate a corresponding road network by linear ground objects in the target area, and to merge residential land in the road network to generate a residential area.

[0097] The grid acquisition module 12 is configured to construct a hexagonal grid corresponding to the target area based on a preset grid construction rule, and to extract the hexagonal grid based on a preset grid determination rule to obtain a walkable grid.

[0098] The life circle initial range determination module 13 is configured to calculate a target growth origin based on the residential area and the walkable grid, to construct a target growth range with the target growth origin as a starting point, and to generate a corresponding hexagonal grid area based on the target growth origin and the target growth range to obtain a life circle initial range.

[0099] The community life circle determination module 14 is configured to integrate the life circle initial range to obtain an integrated life circle, and to structurally divide the integrated life circle according to the activity intensity of the crowd to obtain a community life circle containing different density areas.

[0100] As can be seen from the above, the present application first generates a corresponding road network by linear ground objects, and generates a residential area based on the road network. Then, the constructed hexagonal grid is extracted to obtain a walkable grid, and a target growth range is constructed based on the residential area and the walkable grid, and a corresponding hexagonal grid area is generated to obtain a life circle initial range. Finally, the life circle initial range is integrated to obtain a community life circle, and the community life circle is structurally divided and evaluated. In this way, by using survey data and spatiotemporal big data and other multi-source data, the accurate delineation and multi-dimensional evaluation of the community life circle in a large area such as a province or city are realized.

[0101] In some embodiments, the residential area generation module 11 can include:

[0102] The area threshold determination unit is configured to determine an area threshold of the road network according to technical specifications related to urban residential area planning.

[0103] The road network synthesis unit is configured to map synthesize the central urban road network in the target area based on the area threshold and the linear ground object selection method to obtain a synthesized road network.

[0104] The residential area generation unit is configured to aggregate the residential land in the road network based on the synthesized road network to obtain aggregated residential land, and to generate a residential area based on the aggregated residential land and the area threshold.

[0105] In some embodiments, the grid acquisition module 12 can include:

[0106] determine the resident walkable grid determination rules based on the urban land use type and the urban road type;

[0107] The first walkable area determination unit is configured to extract the hexagonal grid intersecting the urban road monitoring data according to the resident walkable grid determination rules to obtain a first hexagonal grid, and take the first hexagonal grid as a first walkable area; wherein the urban road monitoring data comprises an urban road type.

[0108] The second hexagonal grid obtaining unit is configured to extract the hexagonal grid not intersecting the urban road monitoring data according to the resident walkable grid determination rules to obtain a second hexagonal grid.

[0109] The second walkable area determination unit is configured to perform geographical correlation mapping on the second hexagonal grid based on the land use type to obtain a mapping result, and extract the second hexagonal grid based on the mapping result and a preset walkable land use type rule to obtain a second walkable area.

[0110] The walkable grid determination unit is configured to combine the first walkable area and the second walkable area to obtain a walkable grid.

[0111] In some embodiments, the life circle initial range determination module 13 can comprise:

[0112] The growth origin determination unit is configured to intersect the residential area and the walkable grid to calculate an accessible centroid point in the residential area, and determine the accessible centroid point as a target growth origin.

[0113] In some embodiments, the life circle initial range determination module 13 can comprise:

[0114] The life circle initial range obtaining unit is configured to determine a growth end condition based on a preset life circle growth distance and a preset non-walkable area, and construct a target growth range taking the target growth origin as a starting point and the growth end condition as an ending point to obtain a life circle initial range.

[0115] In some embodiments, the community life circle determination module 14 can comprise:

[0116] The life circle integration unit is configured to remove, correct and combine the life circle initial range to obtain an integrated life circle.

[0117] The kernel density analysis unit is configured to analyze the kernel density of the population heat value in the integrated life circle to obtain the spatial distribution of the population activity intensity.

[0118] The life circle division unit is configured to perform structural division on the integrated life circle to obtain a community life circle including different density areas according to a natural breakpoint method and based on the spatial distribution of the human activity intensity.

[0119] In some specific embodiments, the community life circle delineation apparatus can further include:

[0120] The coverage evaluation unit is configured to evaluate the coverage of the community life circle based on the number of facilities in the community life circle.

[0121] The standard attainment rate evaluation unit is configured to evaluate the standard attainment rate of the community life circle according to the living needs of the residents.

[0122] The convenience evaluation unit is configured to evaluate the convenience of the community life circle based on the distribution of facilities in the community life circle and walkability.

[0123] The matching degree evaluation unit is configured to evaluate the matching degree of the facilities in the community life circle and the population.

[0124] Further, the embodiment of the present application also discloses an electronic device, Figure 8 is a structural diagram of an electronic device 20 according to an exemplary embodiment, and the content in the figure cannot be considered as any limitation on the use range of the present application. The electronic device 20 can specifically include at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25 and a communication bus 26. The memory 22 is used to store a computer program, the computer program is loaded and executed by the processor 21 to realize the related steps in the community life circle delineation method disclosed in any of the preceding embodiments. In addition, the electronic device 20 in the embodiment can be an electronic computer.

[0125] In the embodiment, the power supply 23 is used to provide working voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol followed by the communication interface 24 can be any communication protocol applicable to the technical solution of the present application, which is not limited here; the input / output interface 25 is used to obtain external input data or output data to the outside, and the specific interface type can be selected according to the specific application needs, which is not limited here.

[0126] In addition, the memory 22 as a carrier for resource storage can be a read-only memory, a random access memory, a magnetic disk or an optical disk, etc., and the resources stored thereon can include an operating system 221, a computer program 222, etc., and the storage mode can be temporary storage or permanent storage.

[0127] The operating system 221 is used to manage and control the various hardware devices on the electronic device 20 and the computer program 222, which can be Windows Server, Netware, Unix, Linux, etc. The computer program 222 can further include computer programs capable of performing other specific tasks in addition to the computer program capable of performing the community life circle delineation method disclosed by the electronic device 20 in any of the foregoing embodiments.

[0128] Further, the present application also discloses a computer readable storage medium for storing a computer program; wherein the computer program is executed by a processor to implement the community life circle delineation method disclosed above. The specific steps of the method can refer to the corresponding content disclosed in the foregoing embodiments, which will not be repeated here.

[0129] The embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts of each embodiment can be referred to each other. For the device disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple, and the relevant parts can refer to the method part.

[0130] The skilled person can further realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be realized by electronic hardware, computer software or a combination of both. In order to clearly show the interchangeability of hardware and software, the composition and steps of each example have been described in the above description. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. The skilled person can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0131] The steps of the method or algorithm described in combination with the embodiments disclosed herein can be directly implemented by hardware, software modules executed by a processor, or a combination of both. The software modules can be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium known in the art.

[0132] Finally, it needs to be pointed out that in this document, relational terms such as first and second and the like can only be intended to distinguish one entity or operation from another entity or operation without necessarily requiring or implying any actual such relationship or order between such entities or operations. Moreover, the terms "comprising", "including", or any other variant thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without more limitations, an element defined by the statement "comprising a" does not exclude the existence of additional identical elements in the process, method, article, or apparatus including the stated element.

[0133] The above detailed description of the technical solutions provided by the present application has been provided, and the principles and implementation modes of the present application have been described by applying specific examples. The above description of the examples is only for the purpose of helping to understand the method of the present application and its core idea; at the same time, for those skilled in the art, according to the idea of the present application, the specific implementation mode and application range will be changed, and the above description of the content of the specification should not be understood as a limitation of the present application.

Claims

1. A method for delineating community living circles, characterized in that, include: The corresponding road network is generated by using linear features within the target area, and residential land within the scope of the road network is merged to generate a residential area. A hexagonal grid corresponding to the target area is constructed based on a preset grid construction rule, and the hexagonal grid is extracted according to the preset grid determination rule to obtain a walkable grid; The target growth origin is calculated based on the residential area and the walkable grid, and the target growth range is constructed using the target growth origin as the starting point. Then, a corresponding hexagonal grid area is generated based on the target growth origin and the target growth range to obtain the initial range of the living circle. The initial scope of the living circle is integrated to obtain an integrated living circle, and the integrated living circle is structurally divided according to the intensity of population activity to obtain a community living circle containing areas of different densities. The step of extracting the hexagonal mesh according to a preset mesh determination rule to obtain a walkable mesh includes: Rules for determining the pedestrian accessibility grid for residents are based on urban land use type and urban road type; Based on the rules for determining the pedestrian accessibility grid, a hexagonal grid intersecting with the urban road monitoring data is extracted to obtain a first hexagonal grid, and the first hexagonal grid is used as the first pedestrian accessibility area; wherein, the urban road monitoring data includes urban road types; Based on the rules for determining the resident walkable grid, extract hexagonal grids that do not intersect with the urban road monitoring data to obtain a second hexagonal grid; The second hexagonal grid is geospatially mapped based on land use type to obtain the mapping result, and the second hexagonal grid is extracted based on the mapping result and the preset walkable land use type rule to obtain the second walkable area; The first and second walkable areas are merged to obtain a walkable grid.

2. The method for delineating community living circles according to claim 1, characterized in that, The process of generating a road network using linear features within the target area and merging residential land within the road network to create a residential area includes: The area threshold of road mesh is determined according to the technical specifications related to urban residential area planning; Based on the area threshold and linear feature selection method, the road network within the target area is map-integrated to obtain the integrated road network. Based on the integrated road network, residential land within the scope of the road network is aggregated to obtain aggregated residential land, and a residential area is generated based on the aggregated residential land and the area threshold.

3. The method for delineating community living circles according to claim 1, characterized in that, The calculation of the target growth origin based on the residential area and the walkable grid includes: The residential area and the walkable grid are intersected to calculate the reachable centroid within the residential area, and the reachable centroid is determined as the target growth origin.

4. The method for delineating community living circles according to claim 1, characterized in that, The process of generating a corresponding hexagonal mesh region based on the target growth origin and the target growth range to obtain the initial range of the habitat includes: The growth termination condition is determined based on the preset living circle growth distance and the preset non-walkable area. The target growth origin is used as the starting point and the growth termination condition is used as the ending point to construct the target growth range to obtain the initial range of the living circle.

5. The method for delineating community living circles according to claim 1, characterized in that, The process of integrating the initial scope of the living circle to obtain an integrated living circle, and then structurally dividing the integrated living circle according to the intensity of population activity to obtain community living circles containing areas of different densities, includes: The initial scope of the living circle is eliminated, corrected, and merged to obtain the integrated living circle; Kernel density analysis was performed on the population heat values ​​within the integrated living area to obtain the spatial distribution of population activity intensity; The integrated living circle is structurally divided based on the natural breakpoint method and the spatial distribution of the population activity intensity to obtain community living circles containing areas of different densities.

6. The method for delineating community living circles according to any one of claims 1 to 5, characterized in that, Also includes: The coverage of the community living circle is assessed based on the number of facilities within the community living circle; The compliance rate of the community living circle is assessed based on residents' living needs; The convenience of the community living area is assessed by evaluating the distribution and walkability of facilities within the community living area; An assessment was conducted on the matching degree between facilities and population within the aforementioned community living area.

7. A community living circle delineation device, characterized in that, include: The residential area generation module is used to generate corresponding road meshes through linear features within the target area, and to merge residential land within the scope of the road meshes to generate a residential area; The grid acquisition module is used to construct a hexagonal grid corresponding to the target area based on a preset grid construction rule, and extract the hexagonal grid according to a preset grid determination rule to obtain a walkable grid; The initial range determination module for the living circle is used to calculate the target growth origin based on the residential area and the walkable grid, and to construct the target growth range using the target growth origin as the starting point. Then, based on the target growth origin and the target growth range, a corresponding hexagonal grid area is generated to obtain the initial range of the living circle. The community living circle determination module is used to integrate the initial range of the living circle to obtain the integrated living circle, and to structurally divide the integrated living circle according to the intensity of population activity to obtain community living circles containing areas of different densities. Specifically, the grid acquisition module is used to determine the rules for determining the pedestrian-accessible grid based on urban land use type and urban road type; extract hexagonal grids that intersect with urban road monitoring data according to the rules for determining the pedestrian-accessible grid to obtain a first hexagonal grid, and use the first hexagonal grid as a first pedestrian-accessible area; wherein, the urban road monitoring data includes urban road types; extract hexagonal grids that do not intersect with the urban road monitoring data according to the rules for determining the pedestrian-accessible grid to obtain a second hexagonal grid; perform geospatial association mapping on the second hexagonal grid based on land use type to obtain a mapping result, and extract the second hexagonal grid based on the mapping result and a preset pedestrian-accessible land use type rule to obtain a second pedestrian-accessible area; merge the first pedestrian-accessible area and the second pedestrian-accessible area to obtain a pedestrian-accessible grid.

8. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor for executing the computer program to implement the community living circle delineation method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, Used to store computer programs; wherein, when the computer programs are executed by a processor, they implement the community living circle delineation method as described in any one of claims 1 to 6.

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