Urban community life circle old-age friendliness level measurement method and system and medium

Abstract

The invention discloses an urban community life circle old-age friendliness level measurement method and system and a medium, and the method comprises the steps: obtaining related data in a target region, the related data comprising POI data, satellite remote sensing image data and OSM road data; according to the acquired related data, calculating daily travel space safety, public service facility space convenience and community street space comfort in the target area; and carrying out comprehensive weighted calculation on the daily travel space safety, the public service facility space convenience and the community street space comfort, and measuring the elderly friendly level of the urban community life circle. According to the method, the elderly friendly level of the elderly friendly community life circle is evaluated from the daily space requirements of the elderly in the aspect of the space environment, so that the elderly-suitable construction, updating and transformation of urban communities are guided.

Description

Technical Field

[0001] The invention relates to a method, system and medium for measuring the level of elderly friendliness of an urban community living circle, and belongs to the field of spatial quality evaluation of an urban community living circle. Background Art

[0002] At present, some communities in Chinese cities have incomplete supporting facilities, and the quality of spatial environment needs to be improved, which makes it difficult to fully meet the daily needs of the elderly. With the increasing prominence of the aging population, the spatial needs of the elderly group need to be paid attention to. Systematic evaluation of the elderly-friendliness level of urban community living circles can, on the one hand, objectively reflect the elderly-friendliness of the community space environment, and on the other hand, help promote planning and design to adapt to the direction of community aging-friendly construction and renewal, and improve the quality of life of the elderly. Based on the guiding document "National Demonstration Elderly-Friendly Community Scoring Criteria (Urban Community 2021 Edition)" (hereinafter referred to as "Scoring Criteria"), the national demonstration elderly-friendly communities selected usually include new communities with superior construction conditions and model communities that have been updated and renovated, which have certain limitations; although the "Scoring Criteria" provides policy guidance for the evaluation system of elderly-friendly communities, it lacks quantitative measurement. At present, domestic scholars have explored the relevant theories and standards of elderly-friendly communities, and constructed a hierarchical and graded evaluation system for elderly-friendly communities from multiple dimensions such as facility configuration, community environment, residential design and configuration, elderly care services, and management and operation, providing a reference for the construction of elderly-friendly communities. But overall, domestic elderly-friendly communities are still in the pilot construction stage, and the measurement system and indicators for the elderly-friendliness of urban community living circles lack systematicity. Therefore, it is necessary to establish a set of quantitative, systematic and operational measurement methods to comprehensively evaluate the elderly-friendliness of urban community living circles. Summary of the invention

[0003] In view of this, the present invention provides a method, system, computer device and storage medium for measuring the elderly-friendliness level of an urban community living circle. Starting from the daily space needs of the elderly, the elderly-friendliness level of an elderly-friendly community living circle is evaluated at the spatial environment level, thereby guiding the elderly-friendly construction and renovation of urban communities.

[0004] The first object of the present invention is to provide a method for measuring the level of elderly friendliness of urban community living circles.

[0005] The second object of the present invention is to provide a system for measuring the level of elderly friendliness of urban community living circles.

[0006] A third object of the present invention is to provide a computer device.

[0007] A fourth object of the present invention is to provide a storage medium.

[0008] The first object of the present invention can be achieved by adopting the following technical solutions:

[0009] A method for measuring the level of elderly friendliness of an urban community living circle, the method comprising:

[0010] Acquire relevant data in the target area, wherein the relevant data includes POI data, satellite remote sensing image data, and OSM road data;

[0011] Based on the relevant data obtained, calculate the safety of daily travel space, the convenience of public service facilities space and the comfort of community streets and lanes space in the target area;

[0012] The safety of daily travel space, the convenience of public service facilities space, and the comfort of community street space are comprehensively calculated and weighted to measure the level of elderly-friendliness of urban community living circles.

[0013] Furthermore, the safety of daily travel space, the convenience of public service facilities space and the comfort of community streets and lanes space in the target area are calculated based on the acquired relevant data, specifically including:

[0014] According to OSM road data, street view collection points are generated by equidistant screening, and corresponding street view image data is obtained at each street view collection point;

[0015] Taking the preset walking speed of the elderly as the standard, based on OSM road data, the preset coverage of community residential buildings is calculated, the community life circle corresponding to the preset walking time is divided, and the community life circle is divided into N*N grids;

[0016] In the community life circle, the coverage rate of automatic external defibrillators and the coverage rate of non-automatic defibrillators are calculated based on POI data, OSM road data and street view image data, and the safety of daily travel space is calculated by weight.

[0017] In the community life circle, the density of public service facilities is calculated based on POI data to characterize the spatial convenience of public service facilities;

[0018] Within the community living circle, the street vegetation shading degree, green view rate and recreational facility coverage rate are calculated based on street view image data, satellite remote sensing image data, OSM road data and POI data, and the comfort of community street space is calculated by weighted method.

[0019] Furthermore, the method of equidistantly screening and generating street view collection points according to OSM road data, and obtaining corresponding street view image data at each street view collection point, specifically includes:

[0020] According to the OSM road data, several street view collection points are screened and generated at equal intervals on each road. According to the road direction of each street view collection point, street view images of four horizontal perspectives parallel and perpendicular to the road direction are obtained respectively, and the collection points without street view images and repeated collection points are eliminated.

[0021] Furthermore, in the community life circle, the coverage rate of automatic external defibrillators and the coverage rate of non-automatic defibrillators are calculated based on POI data, OSM road data and street view image data, and the safety of daily travel space is calculated by weight, specifically including:

[0022] Within the community living circle, based on the POI data of the AED, the straight-line distance from the center point of each divided grid to the nearest AED is calculated to characterize the AED coverage rate, as shown in the following formula:

[0023]

[0024] Where Ac represents the coverage rate of automatic external defibrillators in the target area, (x i ,y i ) represents the coordinates of each grid center point, (x j ,y j ) represents the coordinates of the automated external defibrillator closest to the center point of the grid;

[0025] In the community living circle, the streets that meet the requirements of vehicle-non-separation are screened by identifying street view images, and the straight-line distance from the center point of each grid to the vehicle-non-separation street is calculated to characterize the vehicle-non-separation coverage rate, as shown in the following formula:

[0026]

[0027] Where Mn represents the coverage rate of machine-non-machine separation in the target area, (x i ,y i ) represents the coordinates of each grid center point, (x k ,y k ) represents the coordinates of the point on the street that satisfies the machine-non-separation relationship and is closest to the center point of the grid;

[0028] The two indicators of automatic external defibrillator coverage rate and non-automatic defibrillator separation coverage rate are weighted and added together to calculate the daily travel space safety in the target area, as follows:

[0029] Saf=Ac*x1+Mn*y1

[0030] Among them, Saf represents the safety of daily travel space, Ac represents the coverage rate of automatic external defibrillators, Mn represents the coverage rate of non-machine separation, and x1 and y1 represent the weights of each indicator respectively.

[0031] Furthermore, within the community living circle, the density of public service facilities is calculated based on POI data, thereby characterizing the spatial convenience of public service facilities, specifically including:

[0032] Determine the configuration of public service facilities in the community living circle, which include parks and green spaces, meat and vegetable markets, restaurants, sports venues, supermarkets, kindergartens, primary schools, pharmacies, nursing homes, clinics and hospitals;

[0033] According to the determined public service facility configuration, POI data is superimposed within the community living circle, and the number of POIs in each grid is calculated to characterize the density of public service facilities, as shown in the following formula:

[0034] Sf=L(POI i ∈StudyArea)

[0035] Among them, Sf represents the density of public service facilities, StudyArea is each divided grid, and L(x) is the indicator function, which represents the number of POIs in the grid;

[0036] The spatial convenience of public service facilities is characterized by the density of public service facilities, as follows:

[0037] Con=Sf*100%

[0038] Among them, Con represents the spatial convenience of public service facilities.

[0039] Furthermore, the street vegetation shading, green view rate and recreational facilities coverage rate are calculated based on street view image data, satellite remote sensing image data, OSM road data and POI data, and the comfort of community street space is calculated by weighted method, which specifically includes:

[0040] The satellite remote sensing image data is interpreted and green space is extracted. The green area of ​​each grid within the community living circle is calculated and superimposed with OSM road data to characterize the vegetation shade, as shown in the following formula:

[0041]

[0042] Among them, Vs represents the vegetation shade, n represents the total number of green map spots, V i represents the i-th green map patch;

[0043] A fully convolutional neural network is constructed for street view image data to semantically segment, identify, extract, and calculate vegetation pixels in street view images. The ratio of vegetation area pixels to overall area pixels, i.e., the green view rate, is as follows:

[0044]

[0045] Among them, Gl represents the green viewing rate, S v represents the vegetation area pixel, Sw Represents the pixels of the entire field of view;

[0046] Within the community living circle, filter the POI data of recreational facilities and calculate the number of POIs in each grid to represent the coverage rate of recreational facilities:

[0047] Rf=L(POI i ∈StudyArea)

[0048] Among them, Rf represents the coverage rate of recreational facilities, StudyArea is each divided grid, and L(x) is the indicator function, which represents the number of POIs in the grid;

[0049] The comfort of community streets and lanes is calculated based on the vegetation shade, green view rate, and recreational facilities coverage rate, as shown in the following formula:

[0050] Com=Vs*x2+Gl*y2+Rf*z2

[0051] Among them, Com represents the comfort of community street space, and x2, y2, and z2 represent the weights of each indicator respectively.

[0052] Furthermore, the safety of daily travel space, the convenience of public service facilities space, and the comfort of community streets and lanes space are comprehensively weighted to measure the level of elderly friendliness of urban community living circles, as shown in the following formula:

[0053] Ef=f(Saf,Con,Com)=Saf*x+Con*y+Com*z

[0054] Among them, Ef represents the level of elderly-friendliness of the urban community living circle; Saf, Con, and Com represent the safety of daily travel space, the convenience of public service facilities space, and the comfort of community street space respectively; x, y, and z are the weights of the corresponding indicators respectively.

[0055] The second object of the present invention can be achieved by adopting the following technical solutions:

[0056] A system for measuring the level of elderly friendliness of an urban community living circle, the system comprising:

[0057] An acquisition module is used to acquire relevant data in the target area, wherein the relevant data includes POI data, satellite remote sensing image data, and OSM road data;

[0058] A calculation module is used to calculate the safety of daily travel space, the convenience of public service facilities space and the comfort of community streets and lanes space in the target area based on the relevant data obtained;

[0059] The measurement module is used to comprehensively weightedly calculate the safety of daily travel space, the convenience of public service facilities space, and the comfort of community street space, in order to measure the level of elderly friendliness of urban community living circles.

[0060] The third object of the present invention can be achieved by adopting the following technical solutions:

[0061] A computer device comprises a processor and a memory for storing a program executable by the processor. When the processor executes the program stored in the memory, the above-mentioned method for measuring the elderly-friendliness level of the urban community living circle is implemented.

[0062] The fourth object of the present invention can be achieved by adopting the following technical solutions:

[0063] A storage medium stores a program, which, when executed by a processor, implements the above-mentioned method for measuring the level of elderly friendliness of urban community living circles.

[0064] The present invention has the following beneficial effects compared with the prior art:

[0065] The present invention measures the elderly-friendliness level of urban community living circles by combining the current usage status of non-national demonstration elderly-friendly communities and the daily space needs of the elderly. It has both policy support and theoretical basis, and combines the actual space needs of the elderly to construct a hierarchical and graded systematic evaluation framework and quantitative indicators. At the same time, the target area is divided into multiple independent grids, which can more intuitively and accurately identify and analyze the elderly-friendliness level of different geographical locations within the living circle, providing a scientific and efficient measurement method for the construction of elderly-friendly communities. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0067] Figure 1 This is a flow chart of the method for measuring the level of elderly friendliness of urban community living circles in Example 1 of the present invention.

[0068] Figure 2 This is the AED coverage map of the community life circle of Example 1 of the present invention.

[0069] Figure 3 This is the non-separated coverage map of the community life circle machine of Example 1 of the present invention.

[0070] Figure 4This is a safety evaluation diagram of daily travel space in a community living circle according to Example 1 of the present invention.

[0071] Figure 5 This is a diagram for evaluating the spatial convenience of public service facilities in a community living circle according to Example 1 of the present invention.

[0072] Figure 6 This is a vegetation shading coverage map of the community living circle in Example 1 of the present invention.

[0073] Figure 7 This is a street green view rate distribution map of the community living circle in Example 1 of the present invention.

[0074] Figure 8 This is a coverage map of recreational facilities in a community life circle according to Example 1 of the present invention.

[0075] Fig. 9 This is a community street space comfort evaluation diagram for the community life circle of Example 1 of the present invention.

[0076] Fig.10 This is an evaluation diagram of the friendliness of the elderly in the community living circle according to Example 1 of the present invention.

[0077] Fig.11 This is a structural block diagram of a system for measuring the level of elderly friendliness of an urban community living circle according to Example 2 of the present invention.

[0078] Fig.12 This is a structural block diagram of a computer device according to Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0079] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0080] Embodiment 1:

[0081] This embodiment takes the Juanma community in Tianhe District, Guangzhou as the target area, and provides a method for measuring the level of elderly friendliness of urban community living circles. The method mainly creates regular grids for visual expression and comprehensive measurement.

[0082] like Figure 1 As shown, the method for measuring the level of elderly friendliness of the urban community living circle in this embodiment includes the following steps:

[0083] S101, obtaining relevant data in the target area.

[0084] In this embodiment, the relevant data includes POI (Point of Interest) data, satellite remote sensing image data, and OSM (OpenStreetMap) road data; specifically, the POI data of Tianhe District, Guangzhou City and the latest satellite remote sensing image data of Guangzhou City with cloud cover less than 5% are obtained, and the OSM road data in the target area is downloaded according to the OSM map.

[0085] S102. Calculate the safety of daily travel space, the convenience of public service facilities space, and the comfort of community streets and lanes space in the target area based on the relevant data obtained.

[0086] Before calculating the daily travel space safety, public service facility space convenience, and community street space comfort in the target area, this embodiment first processes the acquired relevant data as follows:

[0087] S1021. According to the OSM road data, street view collection points are generated by equidistant screening, and corresponding street view image data is obtained at each street view collection point.

[0088] In this embodiment, a number of street view collection points are screened and generated at equal intervals on each road according to the OSM road data. According to the road direction where each street view collection point is located, street view images of four horizontal perspectives parallel and perpendicular to the road direction are obtained respectively, and collection points without street view images and repeated collection points are eliminated.

[0089] Furthermore, street view images come from the Baidu Map open platform. OSM road data are corrected according to Baidu Map and field surveys. The densification tool of ArcGIS is used to generate several street view collection points at a specific interval of 20 meters. According to the road direction of each collection point, street view images of four horizontal perspectives parallel and perpendicular to the road direction are obtained respectively. The collection points without street view images and repeated collection points are eliminated, and finally 2504 street view images of 626 collection points within the 15-min community living circle of Juanma Community, Tianhe District, Guangzhou are obtained.

[0090] S1022. Taking the preset walking speed of the elderly as the standard and based on OSM road data, calculate the preset coverage of residential buildings in the community, divide the community life circle corresponding to the preset walking time, and divide the community life circle into N*N grids.

[0091] In this embodiment, taking the walking speed of 0.8 m / s of the elderly as the standard, the 800 m coverage of community residential buildings is calculated based on the OSM road data in ArcGIS, and the corresponding 15-min community life circle is obtained. In ArcGIS, the community life circle is divided into grids with an accuracy of 30 m*30 m. Each 30 m*30 m grid is used as the basic unit of analysis, and each indicator is visualized.

[0092] After processing the relevant data, the safety of daily travel space, the convenience of public service facilities space and the comfort of community streets and lanes in the target area are calculated, including:

[0093] S1023. Within the community living circle, calculate the coverage rate of automatic external defibrillators and the coverage rate of non-automatic defibrillators and separation of machines and non-automatic defibrillators based on POI data, OSM road data and street view image data, and calculate the safety of daily travel space by weighted calculation.

[0094] 1) The spatial data of the medical emergency facility automatic external defibrillator (AED) was selected from the acquired POI data, and the POI data of the automatic external defibrillator within the 15-min community living circle of Juanma Community was improved and supplemented according to the WeChat applet "AED First Aid Map".

[0095] 2) Within the 15-minute community living circle of Juanma Community, based on the POI data of the AED, the straight-line distance from the center point of each divided grid to the nearest AED is calculated to characterize the AED coverage rate, as shown in the following formula:

[0096]

[0097] Where Ac represents the coverage rate of automatic external defibrillators in the target area, (x i ,y i ) represents the coordinates of each grid center point, (x j ,y j ) represents the coordinates of the AED closest to the center point of the grid.

[0098] like Figure 2 As shown, this is the coverage rate of automated external defibrillators in the living circle of Juanma Community. Most areas are within the 300-meter service range of the automated external defibrillator, ensuring that rescuers can reach it within 3 to 5 minutes’ straight walk. The coverage rate of automated external defibrillators is relatively high.

[0099] 3) Within the 15-minute community living circle of Juanma Community, the streets that meet the requirements of vehicle-non-vehicle separation are screened by identifying street view images, and the straight-line distance from the center point of each grid to the vehicle-non-vehicle separation street is calculated to characterize the vehicle-non-vehicle separation coverage rate, as shown in the following formula:

[0100]

[0101] Where Mn represents the coverage rate of machine-non-machine separation in the target area, (x i ,y i ) represents the coordinates of each grid center point, (x k ,y k) represents the coordinates of the point on the street that satisfies machine-non-separation that is closest to the center point of the grid.

[0102] like Figure 3 As shown in the figure, the coverage rate of vehicle and non-vehicle separation in the living circle of Juanma community. In the road system, only major roads such as Yuancun Erheng Road, Huangpu Avenue Middle, Yuancun West Street, Yuancun Xinjie, and Yuancun Sanheng Road meet the safety requirements of vehicle and non-vehicle separation, and the coverage rate of vehicle and non-vehicle separation is low.

[0103] 4) Weights are assigned to the two indicators of automated external defibrillator coverage and non-automatic defibrillator separation coverage, and the sum is added to calculate the safety of daily travel space in the target area, as follows:

[0104] Saf=Ac*x1+Mn*y1

[0105] Among them, Saf represents the safety of daily travel space, Ac represents the coverage rate of automatic external defibrillators, Mn represents the coverage rate of non-machine separation, x1 and y1 represent the weights of each indicator, and x1 and y1 are 0.3 and 0.7 respectively.

[0106] like Figure 4 As shown in the figure, the safety evaluation of daily travel space in the living circle of Juanma Community is that the community on the southwest side of Juanma Community and the areas around Yuancun New Street and Tianhe District Government are the safest, while Yuancun West Street and the northern section of Yuancun Erheng Road are the worst.

[0107] S1024. Within the community living circle, the density of public service facilities is calculated based on POI data, thereby characterizing the spatial convenience of public service facilities.

[0108] 1) Determine the configuration of public service facilities in the community living circle, including parks and green spaces, meat and vegetable markets, restaurants, sports venues, supermarkets, kindergartens, primary schools, pharmacies, nursing homes, clinics and hospitals.

[0109] 2) According to the determined public service facility configuration, POI data is superimposed within the 15-minute community life circle of Juanma Community, and the number of POIs in each grid is calculated to characterize the density of public service facilities, as shown in the following formula:

[0110] Sf=L(POI i ∈StudyArea)

[0111] Among them, Sf represents the density of public service facilities, StudyArea is each divided grid, and L(x) is the indicator function, which represents the number of POIs in the grid.

[0112] 3) The spatial convenience of public service facilities is characterized by the density of public service facilities, as follows:

[0113] Con=Sf*100%

[0114] Among them, Con represents the spatial convenience of public service facilities.

[0115] like Figure 5 As shown in the figure, this is the spatial convenience of public service facilities in the living circle of Juanma Community. The analysis shows that various supporting facilities are sufficient within the living circle of Juanma Community, and are distributed along the main roads that meet the separation of machines and non-machines, which is very convenient for the elderly.

[0116] S1025. Within the community living circle, calculate the street vegetation shade, green view rate and recreational facility coverage rate based on street view image data, satellite remote sensing image data, OSM road data and POI data, and calculate the comfort of community street space by weighted calculation.

[0117] 1) Based on the latest satellite remote sensing image data of Guangzhou with cloud cover less than 5%, ENVI was used to interpret the satellite remote sensing image data, extract green space, calculate the green area of ​​each grid within the community living circle, and overlay OSM road data to characterize the vegetation shade, as shown in the following formula:

[0118]

[0119] Among them, Vs represents the vegetation shade, n represents the total number of green map spots, V i Represents the i-th green map patch.

[0120] like Figure 6 As shown, this is the vegetation shade of the Juanma community living circle. Areas with significant green areas are distributed in a dotted manner along the roads to a certain extent, and the vegetation shade of the overall walking space is poor.

[0121] 2) Classify and label street view images as "vegetation" and "others", construct a fully convolutional neural network, semantically segment, identify, extract, and calculate vegetation pixels in street view images, and the ratio of vegetation area pixels to overall area pixels, i.e., the green view rate, as shown in the following formula:

[0122]

[0123] Among them, Gl represents the green viewing rate, S v represents the vegetation area pixel, S w Represents the pixels of the entire field of view.

[0124] like Figure 7 As shown, this is the green view rate of street sampling points within the living circle of Juanma Community. The green view rate of Yuancun New Street is good, the middle and southern sections of Yuancun Erheng Road are relatively good, and the green view rates of other main roads are poor.

[0125] 3) Within the 15-minute community life circle of Juanma Community, screen the POI data of recreational facilities and calculate the number of POIs in each grid to represent the coverage rate of recreational facilities:

[0126] Rf=L(POI i ∈StudyArea)

[0127] Among them, Rf represents the coverage rate of recreational facilities, StudyArea is each divided grid, and L(x) is the indicator function, which represents the number of POIs in the grid.

[0128] like Figure 8 As shown, this is the coverage rate of recreational facilities in the living circle of Juanma Community. The recreational facilities are mainly distributed along Yuancun Erheng Road and Yuancun Xinjie Street. The recreational facilities in other areas are relatively scarce and cannot fully meet the recreational needs of the elderly in their daily travel.

[0129] 4) The comfort of community streets and lanes is calculated based on the vegetation shade, green view rate, and recreational facilities coverage rate, as follows:

[0130] Com=Vs*x2+Gl*y2+Rf*z2

[0131] Among them, Com represents the comfort of community street space, x2, y2, and z2 represent the weights of each indicator, and x2, y2, and z2 are 0.4, 0.3, and 0.3 respectively.

[0132] like Fig. 9 As shown in the figure, the comfort evaluation of the community street space in the Juanma community living circle is shown. The areas with higher comfort are distributed in a dotted manner on the main roads.

[0133] S103. Comprehensively weighted calculation is performed on the safety of daily travel space, the convenience of public service facilities space, and the comfort of community streets and alleys space to measure the level of elderly friendliness of urban community living circles.

[0134] This embodiment uses the three indicators of daily travel space safety, public service facility space convenience and community street space comfort obtained by the above calculation to comprehensively weight and calculate the elderly-friendly evaluation value, which represents the comprehensive evaluation of the elderly-friendly level of the urban community living circle, as shown in the following formula:

[0135] Ef=f(Saf,Con,Com)=Saf*x+Con*y+Com*z

[0136] Among them, Ef represents the level of elderly-friendliness of the urban community living circle; Saf, Con, and Com represent the safety of daily travel space, the convenience of public service facilities space, and the comfort of community street space respectively; x, y, and z are the weights of the corresponding indicators, and x, y, and z are 0.3, 0.3, and 0.4 respectively.

[0137] like Fig.10 The figure shows the elderly-friendliness evaluation of the Juanma community living circle. The areas with higher friendliness are scattered and mainly distributed near the Tianhe District Government, Yuancun Workers' Cultural Palace, Yuancun Market, Zhongda Sixth Hospital, and Meiju Garden. Comprehensively judging that the elderly-friendliness level of the Juanma community living circle is poor, and it cannot effectively meet the basic space needs of the elderly.

[0138] It should be noted that although the method operations of the above embodiments are described in a specific order, this does not require or imply that these operations must be performed in this specific order, or that all the operations shown must be performed to achieve the desired results. On the contrary, the steps depicted can be performed in a different order. Additionally or alternatively, some steps can be omitted, multiple steps can be combined into one step, and / or one step can be decomposed into multiple steps.

[0139] Embodiment 2:

[0140] like Fig.11 As shown, this embodiment provides a system for measuring the level of elderly friendliness of urban community living circles, which includes an acquisition module 1101, a calculation module 1102 and a measurement module 1103. The specific functions of each module are as follows:

[0141] An acquisition module 1101 is used to acquire relevant data in a target area, wherein the relevant data includes POI data, satellite remote sensing image data, and OSM road data;

[0142] The calculation module 1102 is used to calculate the safety of daily travel space, the convenience of public service facilities space and the comfort of community streets and lanes space in the target area according to the acquired relevant data;

[0143] The measurement module 1103 is used to perform a comprehensive weighted calculation of the safety of daily travel space, the convenience of public service facilities space, and the comfort of community street space to measure the level of elderly friendliness of the urban community living circle.

[0144] It should be noted that the system provided in this embodiment is only illustrated by the division of the above-mentioned functional modules. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure can be divided into different functional modules to complete all or part of the functions described above.

[0145] Embodiment 3:

[0146] This embodiment provides a computer device, such as Fig.12As shown, it includes a processor 1202, a memory, an input device 1203, a display device 1204 and a network interface 1205 connected through a system bus 1201. The processor is used to provide computing and control capabilities. The memory includes a non-volatile storage medium 1206 and an internal memory 1207. The non-volatile storage medium 1206 stores an operating system, a computer program and a database. The internal memory 1207 provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. When the processor 1202 executes the computer program stored in the memory, the method for measuring the level of elderly friendliness of the urban community living circle in the above-mentioned embodiment 1 is implemented as follows:

[0147] Relevant data in the target area are obtained, wherein the relevant data include POI data, satellite remote sensing image data, and OSM road data; based on the obtained relevant data, the safety of daily travel space, the convenience of public service facility space, and the comfort of community street space in the target area are calculated; the safety of daily travel space, the convenience of public service facility space, and the comfort of community street space are comprehensively weighted to measure the level of elderly friendliness of the urban community living circle.

[0148] Embodiment 4:

[0149] This embodiment provides a storage medium, which is a computer-readable storage medium, storing a computer program. When the computer program is executed by a processor, the method for measuring the level of elderly friendliness of the urban community living circle in the above embodiment 1 is implemented as follows:

[0150] Relevant data in the target area are obtained, wherein the relevant data include POI data, satellite remote sensing image data, and OSM road data; based on the obtained relevant data, the safety of daily travel space, the convenience of public service facility space, and the comfort of community street space in the target area are calculated; the safety of daily travel space, the convenience of public service facility space, and the comfort of community street space are comprehensively weighted to measure the level of elderly friendliness of the urban community living circle.

[0151] It should be noted that the computer-readable storage medium of the present embodiment may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0152] In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device, or device. In this embodiment, the computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium may also be any computer-readable storage medium other than a computer-readable storage medium, which may send, propagate, or transmit a program used by or in combination with an instruction execution system, device, or device. The computer program contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0153] The computer readable storage medium can be written in one or more programming languages ​​or a combination thereof to execute the computer program of the present embodiment, and the programming language includes an object-oriented programming language, such as Java, Python, C++, and also includes a conventional procedural programming language, such as C language or a similar programming language. The program can be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., using an Internet service provider to connect through the Internet).

[0154] In summary, the present invention explores a method for measuring the elderly-friendliness level of urban community living circles by selecting typical communities for data mining, street view image semantic segmentation and other technologies; in terms of quantitative evaluation, the acquired POI data is used to measure the AED coverage rate, public service facility density and recreational facility coverage rate; the machine-non-separation coverage rate is measured by identifying and crawling Baidu street view images; the satellite remote sensing images are identified and extracted to obtain the measurement of vegetation shading; on the basis of the above indicators, the safety of daily travel space in the community living circle, the convenience of public service facility space, and the comfort of community streets and alleys space are weightedly calculated to form a quantitative evaluation of the elderly-friendliness of the urban community living circle; finally, based on the weighted calculation of the three indicators of quantitative evaluation, a comprehensive measurement of the elderly-friendliness level of the urban community living circle is obtained; the present invention not only selects objective indicators for evaluating the elderly-friendliness level of the urban community living circle based on the "Scoring Rules", but also integrates the actual needs of the elderly group for space, which is conducive to the scientific and realistic measurement of the elderly-friendliness level of the urban community living circle.

[0155] The above description is only a preferred embodiment of the present invention. It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention.

Claims

1. A method for measuring the level of elderly friendliness of urban community living circles, characterized in that: The method comprises: Acquire relevant data in the target area, wherein the relevant data includes POI data, satellite remote sensing image data, and OSM road data; Based on the relevant data obtained, calculate the safety of daily travel space, the convenience of public service facilities space and the comfort of community streets and lanes space in the target area; The safety of daily travel space, the convenience of public service facilities space, and the comfort of community street space are comprehensively calculated and weighted to measure the level of elderly-friendliness of urban community living circles.

2. The method for measuring the level of elderly friendliness of urban community living circles according to claim 1 is characterized in that: The above-mentioned calculation of the safety of daily travel space, the convenience of public service facilities space and the comfort of community streets and lanes space in the target area based on the relevant data obtained includes: According to OSM road data, street view collection points are generated by equidistant screening, and corresponding street view image data is obtained at each street view collection point; Taking the preset walking speed of the elderly as the standard, based on OSM road data, the preset coverage of community residential buildings is calculated, the community life circle corresponding to the preset walking time is divided, and the community life circle is divided into N*N grids; In the community life circle, the coverage rate of automatic external defibrillators and the coverage rate of non-automatic defibrillators are calculated based on POI data, OSM road data and street view image data, and the safety of daily travel space is calculated by weight. In the community life circle, the density of public service facilities is calculated based on POI data to characterize the spatial convenience of public service facilities; Within the community living circle, the street vegetation shading degree, green view rate and recreational facility coverage rate are calculated based on street view image data, satellite remote sensing image data, OSM road data and POI data, and the comfort of community street space is calculated by weighted method.

3. The method for measuring the level of elderly friendliness of urban community living circles according to claim 2 is characterized in that: The method of generating street view collection points by equidistant screening according to OSM road data and obtaining corresponding street view image data at each street view collection point specifically includes: According to the OSM road data, several street view collection points are screened and generated at equal intervals on each road. According to the road direction of each street view collection point, street view images of four horizontal perspectives parallel and perpendicular to the road direction are obtained respectively, and the collection points without street view images and repeated collection points are eliminated.

4. The method for measuring the level of elderly friendliness of urban community living circles according to claim 2 is characterized in that: In the community life circle, the coverage rate of automatic external defibrillators and the coverage rate of non-automatic defibrillators are calculated based on POI data, OSM road data and street view image data, and the safety of daily travel space is calculated by weight, specifically including: Within the community living circle, based on the POI data of the AED, the straight-line distance from the center point of each divided grid to the nearest AED is calculated to characterize the AED coverage rate, as shown in the following formula: Where Ac represents the coverage rate of automatic external defibrillators in the target area, (x i ,y i ) represents the coordinates of each grid center point, (x j ,y j ) represents the coordinates of the automated external defibrillator closest to the center point of the grid; In the community living circle, the streets that meet the requirements of vehicle-non-separation are screened by identifying street view images, and the straight-line distance from the center point of each grid to the vehicle-non-separation street is calculated to characterize the vehicle-non-separation coverage rate, as shown in the following formula: Where Mn represents the coverage rate of machine-non-machine separation in the target area, (x i ,y i ) represents the coordinates of each grid center point, (x k ,y k ) represents the coordinates of the point on the street that satisfies the machine-non-separation condition that is closest to the center point of the grid; The two indicators of automatic external defibrillator coverage rate and non-automatic defibrillator separation coverage rate are weighted and added together to calculate the daily travel space safety in the target area, as follows: Saf=Ac*x1+Mn*y1 Among them, Saf represents the safety of daily travel space, Ac represents the coverage rate of automatic external defibrillators, Mn represents the coverage rate of non-machine separation, and x1 and y1 represent the weights of each indicator respectively.

5. The method for measuring the level of elderly friendliness of urban community living circles according to claim 2 is characterized in that: In the community living circle, the density of public service facilities is calculated based on POI data to characterize the spatial convenience of public service facilities, including: Determine the configuration of public service facilities in the community living circle, which include parks and green spaces, meat and vegetable markets, restaurants, sports venues, supermarkets, kindergartens, primary schools, pharmacies, nursing homes, clinics and hospitals; According to the determined public service facility configuration, POI data is superimposed within the community living circle, and the number of POIs in each grid is calculated to characterize the density of public service facilities, as shown in the following formula: Sf=L(POI i (∈StudyArea) Among them, Sf represents the density of public service facilities, StudyArea is each divided grid, and L(x) is the indicator function, which represents the number of POIs in the grid; The spatial convenience of public service facilities is characterized by the density of public service facilities, as follows: Con=Sf*100% Among them, Con represents the spatial convenience of public service facilities.

6. The method for measuring the level of elderly friendliness of urban community living circles according to claim 2 is characterized in that: The street vegetation shade, green view rate and recreational facilities coverage rate are calculated based on street view image data, satellite remote sensing image data, OSM road data and POI data, and the comfort of community street space is calculated by weighted calculation, which specifically includes: The satellite remote sensing image data is interpreted and green space is extracted. The green area of ​​each grid within the community living circle is calculated and superimposed with OSM road data to characterize the vegetation shade, as shown in the following formula: Among them, Vs represents the vegetation shade, n represents the total number of green map spots, V i represents the i-th green map patch; A fully convolutional neural network is constructed for street view images to semantically segment, identify, extract, and calculate vegetation pixels in street view images. The ratio of vegetation area pixels to overall area pixels, i.e., the green view rate, is as follows: Among them, Gl represents the green viewing rate, S v represents the vegetation area pixel, S w Represents the pixels of the entire visual field; Within the community living circle, filter the POI data of recreational facilities and calculate the number of POIs in each grid to represent the coverage rate of recreational facilities: Rf=L(POI i (∈StudyArea) Among them, Rf represents the coverage rate of recreational facilities, StudyArea is each divided grid, and L(x) is the indicator function, which represents the number of POIs in the grid; The comfort of community streets and lanes is calculated based on the vegetation shade, green view rate, and recreational facilities coverage rate, as shown in the following formula: Com=Vs*x2+Gl*y2+Rf*z2 Among them, Com represents the comfort of community street space, and x2, y2, and z2 represent the weights of each indicator respectively.

7. The method for measuring the level of elderly friendliness of urban community living circles according to any one of claims 1 to 6, characterized in that: The safety of daily travel space, the convenience of public service facilities space, and the comfort of community streets and lanes space are comprehensively weighted to measure the level of elderly friendliness of urban community living circles, as shown in the following formula: Ef=f(Saf,Con,Com)=Saf*x+Con*y+Con*z Among them, Ef represents the level of elderly-friendliness of the urban community living circle; Saf, Con, and Com represent the safety of daily travel space, the convenience of public service facilities space, and the comfort of community street space respectively; x, y, and z are the weights of the corresponding indicators respectively.

8. A system for measuring the level of elderly friendliness of urban community living circles, characterized in that: The system comprises: An acquisition module is used to acquire relevant data in the target area, wherein the relevant data includes POI data, satellite remote sensing image data, and OSM road data; A calculation module is used to calculate the safety of daily travel space, the convenience of public service facilities space and the comfort of community streets and lanes space in the target area based on the relevant data obtained; The measurement module is used to comprehensively weightedly calculate the safety of daily travel space, the convenience of public service facilities space, and the comfort of community street space, in order to measure the level of elderly friendliness of urban community living circles.

9. A computer device comprising a processor and a memory for storing a program executable by the processor, characterized in that: When the processor executes the program stored in the memory, it implements the method for measuring the elderly-friendliness level of the urban community living circle as described in any one of claims 1-7.

10. A storage medium storing a program, characterized in that: When the program is executed by a processor, the method for measuring the level of elderly friendliness of an urban community living circle as described in any one of claims 1 to 7 is implemented.

Images