A method and system for rapid assessment of urban community ecological resilience

Abstract

The application provides a kind of urban community ecological resilience rapid evaluation method and system, it is related to the present situation evaluation and urban renewal planning management technical field of national space planning.The method first collects city index data, establishes city standard database;Then calculate the resilience evaluation value of each community in the city in three dimensions of scale, density, form, generate the comprehensive sorting index of each community;Again, the comprehensive sorting index of each community is arranged in ascending order, and the final community sorting sequence is obtained, and the resilience benchmark value of the three dimensions of the community is determined;Finally, the resilience of each community in three dimensions is classified, and the community is divided into strong resilience community and weak resilience community;Based on the resilience classification of community in scale, density, form resilience three aspects, the comprehensive resilience of community is evaluated.The method takes community as the minimum unit of resilience evaluation, constructs the evaluation index of urban community ecological resilience, and realizes the evaluation of community ecological resilience quickly.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of present situation assessment and urban renewal planning management of territorial space planning, and particularly relates to a rapid assessment method and system for urban community ecological resilience. BACKGROUND

[0002] An important basic work of urban resilience research is the measurement and assessment of resilience. Direct observation of urban resilience scenarios is not common, and indirect assessment through relevant factors is the main approach of urban resilience research. These relevant factors are widely distributed in physical landscape, social economy, etc. In the principle of resilient city planning, the urban ecological resilience research framework based on "scale-density-morphology" focuses on urban physical space planning and pays attention to urban entity space. From the perspective of urban ecological background, it explores the ways to improve urban resilience, which to some extent meets the practicality of urban planning and land use management.

[0003] The research method of the paper "Urban Resilience Assessment of Dalian City Based on 'Scale-Density-Morphology'" is suitable for larger scale research units (county level), which is conducive to measuring the resilience rating of urban subareas and groups. The research results can be used as a basis for urban macro development direction and overall layout optimization, but it lacks evaluation and guidance for small-scale landscapes within the city. The data and methods required are complex, which is not conducive to popularization and rapid and large-scale evaluation. In recent years, fine-grained ecological resilience research within the city has been carried out at the grid scale defined by humans. Although the research accuracy is high, it does not match the actual urban management (administrative boundary) space, and the evaluation dimension is relatively single. It is difficult to adjust and improve the urban management unit, and it is difficult to provide direct implementation strategy suggestions for urban governance.

[0004] Small-scale urban ecological resilience evaluation plays an important role in delineating urban renewal areas, updating time sequences, community reconstruction design, and can provide effective basic evaluation support for urban "micro-repair". Currently, urban health assessment mainly takes the city and county as the basic evaluation unit, and the coverage is not complete. The evaluation method is mainly based on data calculation, lacks spatial analysis, and it is difficult to obtain the actual situation of urban spatial resilience distribution. The technical method of multi-dimensional ecological resilience research at the urban community scale is still blank. The common grid unit small-scale evaluation method cannot effectively match the governance space. If the large-scale analysis index and evaluation method are directly applied to small-scale analysis, the distinction of research elements (such as the same type of spatial elements in different scales, which have two ways of point expression and surface expression, commonly seen in POI, etc.) is ignored, which directly affects the effectiveness of the conclusion.

[0005] The modification of plot planning conditions in the detailed planning stage of territorial space is common, and the adjustment basis is mainly the rationality demonstration report of the relevant scheme, which usually adopts qualitative analysis method. The content of the analysis of the influence of plot planning condition modification on community resilience is less or even none. The ecological resilience change caused by planning adjustment gradually highlights after the implementation of the planning, which has a lag. For example, the planning condition is modified from park, green space and square to residential land or commercial and residential mixed land. After the implementation of the planning, the hardening area of the road is increased, and the building volume ratio of the community is improved, which on the one hand easily intensifies the heat island effect, and on the other hand, the hardening ground cannot have natural infiltration capacity like green land, which will cause waterlogging in heavy rain. Therefore, paying attention to the ecological resilience evaluation link in the scheme demonstration stage can effectively avoid the occurrence of resilience reduction. However, although the research field pays more attention to resilience, the research process, data processing and analysis method are relatively complex, which is difficult to be transformed into application scene, so that there is a lack of quick and convenient community resilience evaluation method in the application field, especially in the information age, there is a lack of suitable algorithm embedded into the information automatic application process. SUMMARY

[0006] The technical problem solved by the present application is to provide a city community ecological resilience evaluation method and system to realize the rapid evaluation of community ecological resilience.

[0007] To solve the above technical problems, the technical scheme adopted by the present application is:

[0008] On the one hand, the present application provides a rapid evaluation method of city community ecological resilience, comprising:

[0009] Collecting city index data, establishing a city standard database;

[0010] Calculating the resilience evaluation values of the scale, density and form of each community in the city, i.e. community scale resilience evaluation value, community density resilience evaluation value and community form resilience evaluation value;

[0011] Calculating the scale, density and form resilience evaluation values of all communities in the city, and generating a comprehensive sorting index of each community based on the scale, density and form resilience evaluation values of all communities;

[0012] Arranging the comprehensive sorting index of each community in ascending order to obtain the final community sorting sequence, i.e. the sum of the sequence numbers of the three dimensions of the community arranged in ascending order from small to large;

[0013] Based on the community sorting sequence, the standard community is calculated, and the resilience benchmark values of the scale, density and form of the community are determined;

[0014] The resilience benchmark values based on the three dimensions of community size, density and form are used to classify the resilience of each community in the three dimensions of size, density and form, and the community is divided into strong resilience community and weak resilience community.

[0015] Based on the resilience classification of the community in the three aspects of size, density and form, the comprehensive resilience of the community is evaluated.

[0016] The city index data specifically includes administrative area range vector data layers of the city, publicly available land use remote sensing monitoring data, high-definition remote sensing image data and POI or non-public land use data and statistical data.

[0017] The calculation formula of the community size resilience evaluation value is:

[0018] ;

[0019] Among them, A is the community land area, A d is the occupied construction land area, R s is the inverse of the community land development intensity, which is used to represent the community size resilience; the community land area A is obtained by calculating the total area of all community polygons in the vector data layer; the occupied construction land area A d is obtained by extracting the land use remote sensing monitoring data, and calculating the total area of the polygons corresponding to the construction land attribute value in the grid or vector data;

[0020] The calculation formula of the community density resilience evaluation value is:

[0021] ;

[0022] Among them, PDI is the community population density index, FAR is the community building volume rate, is the inverse of the sum of the population density index and the building volume rate, which is used to represent the community density resilience;

[0023] The calculation formula of the community form resilience evaluation value is:

[0024] ;

[0025] Among them, L si is the effective length of the periphery of the "sink" patch in the community, including the perimeter of the "sink" patch in the community and the length of the edge adjacent to the "sink" patch outside the community; A so is the area of the "source" patch in the community, which is obtained by calculating the total area of the "source" patch polygons; R m is the ratio of the effective length of the periphery of the "sink" patch in the community to the area of the "source" patch, which is used to represent the community form resilience;

[0026] The effective length of the periphery of the "sink" patch in the community ; wherein L H is the perimeter of the patch corresponding to the "sink" patch type in the community, obtained by calculation through GIS software; L YB is the length of the edge adjacent to the "source" patch and the "sink" patch outside the community, obtained by calculation through GIS software, and is specifically:

[0027] (1) Calculate the shared boundary of the "source" patch and the "sink" patch in the city where the community is located, and generate a "source-sink shared boundary" data layer YH in the city;

[0028] (2) Intersect the community range vector layer data in the city with the "source-sink shared boundary" data layer YH to obtain the total length of each community intersection line segment layer YH i , i is the community number;

[0029] (3) Determine the value effectiveness of the community intersection line segment layer YH i . When the patch adjacent to YH i in the community i is a "source" patch, the index function P i of YH i is 1, and the value of the community intersection line segment layer YH i is an effective value, which is included in the effective length value of the "sink" patch perimeter; when the patch adjacent to YH i in the community i is a "sink" patch, the index function P i of YH i is 0, and the value of the community intersection line segment layer YH i is an invalid value, which is not included in the effective length value of the "sink" patch perimeter; P i is the index function of YH i , representing the effectiveness of the value;

[0030] (4) Calculate the length L YB of the edge adjacent to the "source" patch and the "sink" patch outside the community, as shown in the following formula:

[0031] .

[0032] Further, the specific method for generating a comprehensive ranking index of each community based on the scale, density, and morphological resilience evaluation values of all communities is:

[0033] Calculate the average value of the scale, density, and morphological resilience evaluation values of each community;

[0034] Calculate the difference between the three-dimensional resilience evaluation values of each community and the average value of the corresponding dimension, i.e. the deviation value; ​

[0035] The differences between the resilience assessment values ​​of each community in the three dimensions and their average values ​​are sorted in ascending order to form a community sequence in three dimensions. Each community is assigned three ascending digits in the three dimensions of size, density, and form, which are the community numbers corresponding to the three dimensions.

[0036] The community serial numbers of each community across the three dimensions are summed to generate a comprehensive ranking index for each community.

[0037] Furthermore, the specific method for calculating standard communities based on community ranking sequences and determining resilience benchmark values ​​for the three dimensions of community size, density, and morphology is as follows:

[0038] The top W% of communities in the community ranking sequence are selected, and the corresponding serial numbers in the community sequences of the three dimensions also belong to the top W% of communities. The first community among them is selected as the standard community, and the resilience assessment value of the standard community is used as the resilience benchmark value. If there is no standard community that meets the selection criteria, the average of the resilience assessment values ​​of all communities in the three dimensions will be used as the resilience benchmark values ​​for the three dimensions of size, density, and form, respectively.

[0039] Furthermore, the resilience benchmark values ​​based on three dimensions—community size, density, and morphology—are used to classify each community's resilience in terms of size, density, and morphological resilience, specifically as follows:

[0040] The resilience assessment values ​​of a community across three dimensions are compared with benchmark values. Values ​​above the benchmark indicate strong resilience, while values ​​below the benchmark indicate weak resilience. Thus, each community demonstrates varying degrees of resilience in terms of size, density, and morphological structure.

[0041] The resilience of a community's size is determined by: ;

[0042] The resilience of community density is determined by: ;

[0043] The resilience of a community can be assessed by: ;

[0044] in, Rs i For the first i The scale resilience value of a community, Rd i For the first i Density resilience value of a community Rm i For the first i Community resilience value RS base This serves as a benchmark for scale resilience. RD base This is the benchmark value for density and toughness.RM base the morphological resilience reference value, respectively, the community resilience intensity in the three dimensions of scale, density and morphology, if the value is 1, the resilience intensity is strong, and if the value is 0, the resilience intensity is weak.

[0045] Further, based on the resilience classification of the community in the three aspects of scale, density and morphological resilience, the comprehensive resilience of the community is evaluated, specifically:

[0046] The overall comprehensive resilience of the community is divided into four resilience levels: excellent level L A , good level L B , general level L C and poor level L D ; wherein, the excellent level is strong in all three dimensions of resilience; the good level is strong in two dimensions of resilience and weak in one dimension of resilience; the general level is strong in one dimension of resilience and weak in two dimensions of resilience; and the poor level is weak in all three dimensions of resilience.

[0047] On the other hand, the present application also provides a rapid evaluation system for urban community ecological resilience, comprising a data acquisition module, a community multi-dimensional resilience calculation module, a community sorting module, a community resilience reference value calculation module, a community multi-dimensional resilience strength analysis module and a community comprehensive resilience evaluation module;

[0048] The data acquisition module acquires urban index data and establishes a city standard database;

[0049] The community multi-dimensional resilience calculation module calculates the resilience evaluation values of the three dimensions of scale, density and morphology of each community in the city, i.e. the community scale resilience evaluation value, the community density resilience evaluation value and the community morphology resilience evaluation value;

[0050] The community sorting module first calculates the scale, density and morphology resilience evaluation values of all communities in the city, and generates a comprehensive sorting index for each community based on the scale, density and morphology resilience evaluation values of all communities; then, the comprehensive sorting index of each community is arranged in ascending order, and the final community sorting sequence is obtained, i.e. the sum of the three dimensions of the community is arranged in ascending order from small to large;

[0051] The community resilience reference value calculation module calculates the standard community based on the community sorting sequence, and determines the resilience reference values of the three dimensions of scale, density and morphology;

[0052] The community multi-dimensional resilience strength analysis module classifies each community in terms of scale, density and morphological resilience based on the resilience reference values of the three dimensions of scale, density and morphology, and divides the community into strong resilience communities and weak resilience communities;

[0053] The community comprehensive resilience assessment module assesses the comprehensive resilience of the community based on the resilience classification of the community in terms of scale, density and morphological resilience.

[0054] In a third aspect, the present application provides a computer-readable storage medium storing executable instructions, which, when executed, cause a processor to perform the method for rapid assessment of urban community ecological resilience.

[0055] In a fourth aspect, the present application provides a computer program product comprising a computer program or instructions, which, when executed by a processor, implement the method for rapid assessment of urban community ecological resilience.

[0056] The beneficial effects of the above technical solutions are that the method and system for rapid assessment of urban community ecological resilience provided by the present application take the community as the minimum unit for resilience assessment, construct community-level ecological resilience evaluation indexes based on the three-in-one framework of "scale-density-morphology", and quickly realize the community ecological resilience evaluation results; the method takes open data or official survey data as the main data source, greatly saving the data collection and screening processing time; in different dimensions, simple indexes and reliable algorithms suitable for the community level are used, reducing the difficulty of multiple indexes and complex algorithms, and greatly reducing the calculation time of the evaluation process. BRIEF DESCRIPTION OF DRAWINGS

[0057] Figure 1 A flowchart of a method for rapid assessment of urban community ecological resilience provided for embodiment 1 of the present application;

[0058] Figure 2 A structural block diagram of a system for rapid assessment of urban community ecological resilience provided for embodiment 2 of the present application. DETAILED DESCRIPTION

[0059] The specific embodiments of the present application will be further described in detail below with reference to the accompanying drawings and examples. The following examples are used to illustrate the present application, but are not used to limit the scope of the present application.

[0060] Embodiment 1:

[0061] In this embodiment, a method for rapid assessment of urban community ecological resilience, as shown in Figure 1 includes the following steps:

[0062] Step 1: Collect urban index data and establish a city standard database; the urban index data specifically includes the range vector data layers of each level of administrative area (city, county, township, community) of the city, publicly available land use remote sensing monitoring data, high-definition remote sensing image data and POI or non-public land use data (national survey, monitoring data) and statistical data;

[0063] Among them, the administrative area range vector data layer of each level is downloaded through a public website (such as a resource and environment data platform) or applied for the latest time point data from a civil affairs survey department, and the data type is vector data.

[0064] The land use remote sensing monitoring data that can be publicly available is downloaded from a public website (such as a resource and environment data platform) as urban index data, the data resolution is 30m, and the data type is raster.

[0065] The high-definition remote sensing image data and POI are used as urban index data through online services of the registered national geographic information public service platform, and the latest high-resolution image data services, special service data, and other data are downloaded. The land use data that cannot be publicly available is obtained through local surveys or surveying and mapping centers. Specifically, the latest national land use survey data or urban geographic space monitoring result data are used as urban priority index data, and the data type is vector. The statistical data are used as urban index data, including community population data, and the latest population data are obtained from a local population statistics bureau or a statistical yearbook. The data type is a table.

[0066] Meanwhile, the population raster data obtained from the resource and environment science and data center are used as supplementary statistical data in this embodiment, and the resolution is 1km. The supplementary statistical data are used as supplementary data types in the case that the index data are not easily obtained or the data time point is not new.

[0067] Step 2: Calculate the “scale-density-morphology” resilience evaluation value of each community in the city;

[0068] The calculation method of the “scale-density-morphology” resilience evaluation of each community in the city is as follows:

[0069] (1) The calculation formula of community scale resilience is:

[0070] ;

[0071] Among them, A is the community land area, A d is the occupied construction land area, R s is the inverse of the community land development intensity, which is used to represent the community scale resilience; the larger the Rs value represents the smaller the land intensity in the community, the higher the scale resilience, and the smaller the value represents the larger the land intensity in the community, the lower the scale resilience;

[0072] In this embodiment, the community land area A is obtained by calculating the total area of all community polygons in the vector data layer through the community range vector layer and GIS software; the occupied construction land area Ad The total area of the graph corresponding to the attribute value of the construction land is obtained by land use remote sensing monitoring data extraction and calculation of raster or vector data by GIS software.

[0073] Among them, the occupied construction land data corresponds to the public land use remote sensing monitoring data of urban and rural, industrial and mining, residential land, as shown in Table 1:

[0074] Table 1 Land use remote sensing monitoring data classification table

[0075]

[0076] The occupied construction land data corresponds to the land use type in the non-public land use classification: commercial service land, industrial and mining storage land, residential land, public management and public service land, special land, transportation land, water conservancy construction land, idle land.

[0077] (2) The formula for calculating the community density resilience is:

[0078] ;

[0079] Among them, PDI is the community population density index, FAR is the community building volume rate, which is the core index for measuring land use intensity and building density, is the reciprocal of the sum of the population density index and the building volume rate, which is used to represent the community density resilience; The larger the value, the lower the land use density in the community, the higher the density resilience, and the smaller the value, the greater the land use density in the community, the lower the density resilience.

[0080] In this embodiment, the formula for calculating the community population density index PDI is: , PD A is the community population density, and the formula is: ; CP is the number of community population; PD U is the standard value of the population density of general urban land in the city (usually 10,000 people per square kilometer); and the formula for calculating the community building volume rate FAR is: ; Ar is the total building area within the community, and the calculation method of Ar is:

[0081] ;

[0082] ;

[0083] Among them, A d1 is the land use for residential land, A d2 is the land use for commercial service industry and public management and public service land; RF B is the building floor number of residential land use type. F B is the building floor number of commercial service industry type or public management and public service type.

[0084] In this embodiment, the total building area Ar in the community can be obtained by combining the three-dimensional information of the building. First, the building height H of the construction land patch in the land use classification information is extracted by comparing the stereo relative information. Then, the building floor number is calculated according to the building type, such as the building floor number of residential buildings and the building floor number of commercial buildings . The land use classification information for calculating B F can be extracted by fusing the night light data (VIIRS) and the POI auxiliary extraction of the TIANDITU thematic service.

[0085] Meanwhile, the total building area Ar and the community land area A in the community can also be obtained by the non-public management data approach of the approval and monitoring of local natural resources departments, such as the city CIM system or the BIM system.

[0086] (3) The formula for calculating the community morphological resilience is as follows:

[0087] ;

[0088] Wherein, L si is the effective length of the periphery of the “sink” patch in the community, including the perimeter of the “sink” patch in the community, the length of the edge adjacent to the “sink” patch outside the community and the “source” patch in the community; A so is the area of the “source” patch in the community, which is obtained by calculating the total area of the “source” patch by using the GIS software. R m is the ratio of the effective length of the periphery of the “sink” patch in the community to the area of the “source” patch, which is used to represent the community morphological resilience. The greater the value of R m , the stronger the community land integration and the higher the morphological resilience. The smaller the value, the worse the community land integration and the lower the morphological resilience.

[0089] The “sink” patch and the “source” patch are the relevant definitions in the source-sink landscape theory. The “source” patch refers to a landscape area that can provide material, energy or individuals for a certain process. The “sink” patch refers to a landscape area that can receive, absorb, retain or consume material, energy or individuals from the “source” patch. The “source-sink landscape method” is a spatial analysis and planning method based on the principle of landscape ecology. In the aspect of resilience evaluation, it mainly acts on identifying and quantifying different spatial units of land use classification and their spatial pattern relationships.

[0090] In the resilience assessment of territorial space planning, the green landscape and blue landscape corresponding to the "sink" patch are monitored by remote sensing as forest land, grassland, and water area; the gray landscape corresponding to the "source" patch is monitored by remote sensing as urban construction land, including urban and rural land, industrial and mining land, residential land, and part of unused land.

[0091] In this embodiment, the effective length of the "sink" patch around the community is L , wherein L H is the perimeter of the "sink" patch corresponding to the land class in the community, which is calculated by GIS software. YB L is the length of the edge adjacent to the "source" patch and the external "sink" patch in the community, which is calculated by GIS software, and is specifically:

[0092] (1) Calculate the shared boundary of the "source" patch and the "sink" patch in the city where the community is located, and generate a "source-sink shared boundary" data layer YH in the city;

[0093] (2) Intersect the community range vector layer data in the city with the "source" patch and "sink" patch shared boundary data layer YH to obtain the total length of each community intersection line segment layer YH i , i.e. , i is the community number;

[0094] (3) Judge the value effectiveness of the community intersection line segment layer YH i . When the patch adjacent to YH i in the community i is the "source" patch, the index function P i of YH i is 1, and the value of the community intersection line segment layer YH i is the effective value, which is included in the effective length value of the perimeter of the "sink" patch; when the patch adjacent to YH i in the community i is the "sink" patch, the index function P i of YH i is 0, and the value of the community intersection line segment layer YH i is invalid, which is not included in the effective length value of the perimeter of the "sink" patch; P i is the index function of YH i , representing the effectiveness of the value.

[0095] (4) Calculate the length L YB of the edge adjacent to the "source" patch and the external "sink" patch in the community, as shown in the following formula:

[0096]

[0097] Step 3: Calculate the size, density, and morphological resilience values of all communities in the city, and calculate the average values of the three dimensions of all communities; sort the communities in order of the difference from the average value from small to large, forming three community sequences, each community corresponding to three serial numbers; add the three serial numbers of each community, and sort the sum from small to large to obtain the community sorting sequence; the specific calculation process is as follows:

[0098] (1) According to the method of step 2, calculate the size resilience value, density resilience value, and morphological resilience value of all communities in the city, and calculate the average value of the three dimensions of each community; the average values of the three dimensions of all communities are calculated as follows:

[0099] ;

[0100] ;

[0101] ;

[0102] wherein, , , are the average values of the three dimensions of all communities, Rs i is the size resilience value of the i-th community, Rd i is the density resilience value of the i-th community, and Rm i is the morphological resilience value of the i-th community, and N is the total number of communities in the city.

[0103] (2) Calculate the difference between the three-dimensional resilience value of each community and the average value of the corresponding dimension, i.e. the deviation value, and the calculation formula is as follows:

[0104] ;

[0105] ;

[0106] ;

[0107] wherein, , , are the differences between the three-dimensional resilience value of the i-th community and the average value of the corresponding dimension;

[0108] (3) Sort the communities in order of the difference between the three-dimensional resilience value of each community and the average value from small to large, forming three-dimensional community sequences, and assign three ascending position numbers T i s , T i d , Ti m The specific calculation formula is:

[0109] ;

[0110] ;

[0111] ;

[0112] wherein asc_sort is an ascending order sorting function, , , are the sequence numbers in the community sequence corresponding to the three dimensions of the i-th community respectively (when the values are equal, the average sequence number is taken). That is, for the i-th community, the T i i s i d i m are the position sequence numbers of the deviation values △s i i i calculated in the above step (2) in the sorting (considering the parallel case); if the deviation values are not repeated, then T i s is the position of the value in the sorting (counting from 1). If there are repetitions, assuming that there are k same values appearing at positions r, r+1, r+k−1, then the sequence numbers in this community sequence are all:

[0113] ;

[0114] (4) The community sequence numbers of the three dimensions of each community in the above steps 3(3) are summed to generate a comprehensive sorting index T i of each community, and the specific calculation formula is:

[0115] ;

[0116] (5) The comprehensive sorting index T i of each community is arranged in ascending order (i.e., sorted from small to large according to T i ), and the final community sorting sequence is obtained, i.e., the sum of the sequence numbers of the three dimensions of the community is arranged in ascending order from small to large, as shown in the following formula:

[0117] ;

[0118] wherein T (k) represents the k-th smallest sequence number value after sorting, and sort is a sorting function. ​​​​​

[0119] Step 4: Calculate the standard community, and determine the resilience benchmark value of the three dimensions of community size, density, and morphology; filter out the top 25% of the community ranking sequence obtained in step 3 (5), and the corresponding sequence number T i s , T i d , T i m also belong to the top 25% of the community, and the first community is selected as the standard community. The resilience evaluation value of the standard community is taken as the resilience benchmark value of the three dimensions of community size, density, and morphology. If there is no standard community meeting the screening conditions, the average value of the resilience evaluation of all communities is taken as the resilience benchmark value of the three dimensions of community size, density, and morphology respectively.

[0120] In this embodiment, the standard community benchmark value calculation process is as follows:

[0121] 1) Filter the top 25% of the community set R sorted in step 3 (5), and the specific expression formula is:

[0122]

[0123]

[0124] Wherein, Q is the community comprehensive ranking boundary value; G is the community whose comprehensive index ranking is less than the boundary value; R i is the i-th community, i=1,2,…,N, N is the number of communities in the city; rank asc is an ascending ranking function.

[0125] 2) Filter the top 25% of the community G i s , T i d , T i m also belong to the top 25% of the community, and the specific calculation formula of the joint screening of the three dimensions is:

[0126] G ∗ ={R i ∈G∣T i s ≤Q∧T i d ≤Q∧T i m ≤Q};

[0127] Wherein, G ∗ ​​The set of communities with the top 25% of the ascending order of the comprehensive index ranking and the ascending order of the dimension ranking is selected; T i s The ascending order of the size resilience bias; T i d The ascending order of the density resilience bias; T i m The ascending order of the shape resilience bias;

[0128] 3) The specific calculation formula of the standard community is determined by screening the results in step 2):

[0129] ;

[0130] Wherein, RS base is the standard community, when G* is not empty , the comprehensive ranking of each community is the highest, that is, T i is the minimum value, R i community corresponds to the standard community.

[0131] 4) When the result in step 3) meets the condition, the benchmark value corresponding to the standard community is:

[0132] ;

[0133] Wherein, RS base is the size resilience benchmark value; RD base is the density resilience benchmark value, and RM base is the shape resilience benchmark value.

[0134] 5) When the result in step 3) has no condition, that is, G* is empty , the average value of all communities in three dimensions in step 3 (1) is taken as the community benchmark value of size resilience, density resilience and shape resilience, and the specific expression is:

[0135] ;

[0136] ;

[0137] ;

[0138] Step 5: The community is classified according to the resilience, and the community is divided into strong resilience community and weak resilience community; that is, the resilience of each community in three dimensions is calculated by comparison method; the community ecological resilience evaluation value is compared with the benchmark value, which is strong in resilience and lower than the benchmark value, which is weak in resilience, so that each community has strong and weak performance in size, density and shape resilience; wherein,

[0139] The size resilience of the community is: ;

[0140] The community density resilience strength is: ;

[0141] The community form resilience strength is: .

[0142] Among them, is the resilience strength of the community in the three dimensions of scale, density and form, and the value is 1, then the resilience strength is strong, and the value is 0, then the resilience strength is weak;

[0143] Step 6: Evaluate the comprehensive resilience of the community; the overall community comprehensive resilience is divided into four resilience levels: excellent level L A , good level L B , general level L C and poor level L D ; wherein, the excellent level is that the resilience of the three dimensions is strong; the good level is that the resilience of two dimensions is strong and the resilience of one dimension is weak; the general level is that the resilience of one dimension is strong and the resilience of two dimensions is weak; and the poor level is that the resilience of the three dimensions is weak.

[0144] The specific level division rule expression is:

[0145] (1) The setting condition of the excellent level L A is: ;

[0146] (2) The setting condition of the good level L B is: ;

[0147] (3) The setting condition of the general level L C is: ;

[0148] (4) The setting condition of the poor level L D is: ;

[0149] For different levels and urban backgrounds, countermeasures and community governance suggestions can be proposed according to the resilience dimension strength. It provides a reference for land space planning status evaluation and planning compilation, urban renewal planning management.

[0150] The method of the present application can achieve the following effects:

[0151] Effect 1: Evaluation effectiveness. The method of the present application is based on community scale for rapid assessment of urban ecological resilience, which can meet the spatial needs of urban governance, provide evaluation basis for urban renewal and direction for micro-repair, and meet the current needs of urban development. The evaluation method of the present application mainly uses remote sensing image data and official statistical data, including community space data (remote sensing) and attribute data (statistics), which are objective and comprehensive. The evaluation results can be visualized.

[0152] Effect 2: Evaluation comprehensiveness. The method of the present application is based on community scale for rapid assessment of urban ecological resilience, which is different from the index selection and measurement algorithm of three dimensions of resilience in large-scale research units (county level) under the "scale-density-morphology" framework. The evaluation index and measurement algorithm used are classical and reliable, and the evaluation method is scientific and reasonable, which meets the ecological resilience evaluation requirements of small scale (community level). It can provide more comprehensive resilience evaluation conclusions for the city, and provide operational suggestions for urban governance, expanding the breadth and depth of urban ecological resilience evaluation.

[0153] Effect 3: Evaluation efficiency. The method of the present application is based on community scale for rapid assessment of urban ecological resilience, which is easy to obtain evaluation data, reliable and stable data source, and has a standard data updating mechanism. The evaluation method includes three dimensions, and the calculation formula of each dimension is simple and fast. The evaluation conforms to the objective reality of community scale, greatly saving the evaluation time. At the same time, this method can also provide support for historical resilience review analysis and resilience development deduction of the city.

[0154] Effect 4: Evaluation universality. The method of the present application is based on community scale for rapid assessment of urban ecological resilience, which has more applicable scenarios and high potential application conversion rate. The main application conversion includes two aspects: first, the resilience evaluation algorithm is incorporated into common mainstream geographic information software, providing small area resilience analysis tools for planning and research, project analysis researchers and technical personnel. According to different city calculation settings, resilience threshold and resilience evaluation parameters, the ecological resilience of the city can be quickly determined, the ecological resilience evaluation results can be visualized, and convenient basic analysis tools for urban renewal planning and compilation can be provided. Second, the ecological resilience evaluation model is incorporated into the ecological resilience evaluation work stage in the field of national spatial planning, which can quickly realize the evaluation of present situation resilience and the evaluation of planning implementation effect. For example, for project-oriented planning fine-tuning, the resilience evaluation conclusion of the project landing in the community and surrounding community is an effective basis for evaluating the rationality of the project.

[0155] Example 2:

[0156] In this embodiment, a rapid assessment system for urban community ecological resilience is provided, which includes a data acquisition module, a data preprocessing module, a community ecological resilience assessment module, and a community ecological resilience evaluation result visualization module. Figure 2As shown, it comprises a data collection module, a community multi-dimensional resilience calculation module, a community ranking module, a community resilience benchmark value calculation module, a community multi-dimensional resilience strength analysis module and a community comprehensive resilience evaluation module.

[0157] The data collection module collects city index data and establishes a city standard database.

[0158] The community multi-dimensional resilience calculation module calculates the resilience evaluation values of the scale, density and form of each community in the city, i.e., the community scale resilience evaluation value, the community density resilience evaluation value and the community form resilience evaluation value.

[0159] The community ranking module first calculates the scale, density and form resilience evaluation values of all communities in the city, and generates a comprehensive ranking index of each community based on the scale, density and form resilience evaluation values of all communities. Then, the comprehensive ranking index of each community is arranged in ascending order, and the final community ranking sequence is obtained, i.e., the sum of the sequence numbers of the three dimensions of the community is arranged in ascending order from small to large.

[0160] The community resilience benchmark value calculation module calculates the standard community based on the community ranking sequence, and determines the resilience benchmark values of the scale, density and form of the community.

[0161] The community multi-dimensional resilience strength analysis module classifies the resilience of each community in terms of scale, density and form based on the resilience benchmark values of the scale, density and form of the community, and divides the community into strong resilience community and weak resilience community.

[0162] The community comprehensive resilience evaluation module evaluates the comprehensive resilience of the community based on the resilience classification of the community in terms of scale, density and form.

[0163] Embodiment 3:

[0164] The embodiment provides a computer-readable storage medium storing executable instructions, which, when executed, can be stored in one computer-readable storage medium if implemented in the form of a software functional unit and sold or used as an independent product.

[0165] The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the rapid evaluation method of the city community ecological resilience described in various embodiments of the present application.

[0166] The aforementioned storage medium includes a flash memory, a hard disk, a multimedia card, a card-type memory (for example, an SD (Secure Digital Memory Card) or a DX (an abbreviation of Memory Data Register, MDR) memory, etc.), a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an APP (an abbreviation of Application) application store, and the like, which can store a program check code, and on which a computer program is stored, the computer program being executed by a processor to implement each step of the method for rapidly evaluating the ecological resilience of a city community.

[0167] Embodiment 4:

[0168] The embodiment provides a computer program product, which includes a computer program or instructions, and the computer program or instructions are executed by a processor to implement the method for rapidly evaluating the ecological resilience of a city community.

[0169] Based on such understanding, the technical solution of the present application or the part of the technical solution which essentially contributes to the prior art can be embodied in the form of a computer program product.

[0170] Each embodiment in the present application is described in a progressive manner, and the same or similar parts of each embodiment can be referred to each other. Each embodiment mainly describes the difference from other embodiments.

[0171] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope defined by the claims of the present application.

Claims

1. A method for rapid assessment of urban community ecological resilience, characterized in that, The method comprises the following steps: Collecting urban index data and establishing a city standard database; Calculating the resilience evaluation values of the size, density, and form of each community in the city, i.e., the community size resilience evaluation value, the community density resilience evaluation value, and the community form resilience evaluation value; Calculating the resilience evaluation values of the size, density, and form of all communities in the city, and generating a comprehensive ranking index of each community based on the resilience evaluation values of the size, density, and form of all communities; Ranking the comprehensive ranking index of each community in ascending order to obtain a final community ranking sequence, i.e., the sum of the sequence numbers of the three dimensions of the community in ascending order from small to large; Calculating the standard community based on the community ranking sequence and determining the resilience benchmark values of the size, density, and form of the community; Based on the resilience benchmark values of the size, density, and form of the community, classifying the resilience of each community in terms of size, density, and form, and dividing the community into strong resilience communities and weak resilience communities; Evaluating the comprehensive resilience of the community based on the resilience classification of the community in terms of size, density, and form. The urban index data specifically includes the vector data layers of the administrative regions at various levels in the city, publicly available land use remote sensing monitoring data, high-definition remote sensing image data, and POI or non-public land use data and statistical data. The calculation formula of the community size resilience evaluation value is: ； Wherein, A is the community land area, A d is the occupied construction land area, R s is the inverse of the community land development intensity, used to represent the community scale resilience; the community land area A is obtained by calculating the total area of all community polygons in the vector data layer; the occupied construction land area A d is obtained by extracting the land use remote sensing monitoring data, calculating the total area of the polygons corresponding to the construction land attribute value in the raster or vector data; The calculation formula of the community density resilience evaluation value is: ； Wherein, PDI is the community population density index, FAR is the community building plot ratio, is the reciprocal of the sum of the population density index and the building plot ratio, used to represent the community density resilience; The calculation formula of the community form resilience evaluation value is: ； wherein, L si is the effective length of the "sink" patch perimeter within the community, including the "sink" patch perimeter within the community, the length of the edge between the "source" patch within the community and the "sink" patch outside the community; A so is the "source" patch area within the community, obtained by calculating the total area of the "source" patch; R m is the ratio of the effective length of the "sink" patch perimeter within the community to the "source" patch area, used to represent the community morphological resilience; Effective length of the periphery of the "sink" patch within the community ; wherein L H is the perimeter of the patch corresponding to the "sink" patch type within the community, obtained by calculation using GIS software; L YB is the length of the edge at which the "source" patch within the community is adjacent to the "sink" patch outside the community, obtained by calculation using GIS software, specifically: (1) Calculate the shared boundary of "source" patches and "sink" patches in the city where the community is located to generate a "source-sink shared boundary" data layer YH; (2) Intersect the community range vector layer data in the city with the "source" patch and "sink" patch shared boundary data layer YH to calculate the total length of each community intersection line segment layer YH i , i is the community number;​ (3) Determine the intersection line segment layer YH within the community i The validity of the value of YH i If the patch within adjacent community i is the "source" patch, then YH i index function P i =1, Intersecting line segment layer YH within the community i The value of YH is a valid value and is included in the valid length value of the perimeter of the "sink" patch; when YH i If the patch within adjacent community i is a "sink" patch, then YH i index function P i =0, Intersecting line segment layer YH within the community i The value of is invalid and is not included in the effective length value of the perimeter of the "sink" patch; P i For YH i The indicator function represents the validity of the values ​​taken; (4) Calculate the length L of the edge between the "source" patch and the "sink" patch in the community YB As shown in the following formula: ； The specific method for generating the comprehensive ranking index of each community based on the resilience evaluation values of the size, density, and form of all communities is as follows: Calculate the average value of the resilience evaluation values of the size, density, and form of each community; Calculate the difference between the resilience evaluation values of the size, density, and form of each community and the average value of the corresponding dimension, i.e., the deviation value; Rank the communities in ascending order of the difference between the resilience evaluation values of the size, density, and form of each community and the average value of the corresponding dimension to form a community sequence in three dimensions, and assign three ascending position numbers to each community in the three dimensions, i.e., the community sequence numbers corresponding to the three dimensions; Sum the community sequence numbers in the three dimensions of each community to generate a comprehensive ranking index of each community; The specific method for calculating the standard community based on the community ranking sequence and determining the resilience benchmark values of the size, density, and form of the community is as follows: Select the communities ranked in the top W% in the community ranking sequence, and the corresponding sequence numbers in the three dimensions of the community sequence also belong to the top W% of the communities. Select the first community as the standard community, and the resilience evaluation value of the standard community is taken as the resilience benchmark value. If there is no standard community meeting the selection conditions, the average value of the resilience evaluation values of the size, density, and form of all communities in the three dimensions is taken as the resilience benchmark value of the size, density, and form.

2. The method for rapid assessment of urban community ecological resilience according to claim 1, characterized in that, The specific method for classifying the resilience of each community in terms of size, density, and form based on the resilience benchmark values of the size, density, and form of the community is as follows: The three dimensions of community resilience assessment value are compared with the benchmark value, and the value higher than the benchmark value is strong resilience, and the value lower than the benchmark value is weak resilience, so that each community has strong and weak performance in the scale, density and morphology resilience three aspects; wherein, Community size resilience is strong or weak: ; Community density resilience is strong or weak: ; The strength of community form resilience is: ; wherein, Rs i is the scale resilience value of the i-th community, Rd i is the density resilience value of the i-th community, Rm i is the form resilience value of the i-th community, RS base is the scale resilience benchmark value; RD base is the density resilience benchmark value, RM base is the form resilience benchmark value, respectively, are the resilience intensities of the community in the three dimensions of scale, density, and form. If the value is 1, the resilience intensity is strong, and if the value is 0, the resilience intensity is weak.

3. The method for rapid assessment of urban community ecological resilience according to claim 1, characterized in that, Based on the resilience classification of the community in the scale, density and morphology resilience three aspects, the comprehensive resilience of the community is evaluated, specifically: The community comprehensive resilience overall is divided into four resilience levels: excellent level L A , good level L B , general level L C and poor level L D ; wherein, the excellent level is that the resilience of three dimensions is strong; the good level is that the resilience of two dimensions is strong and the resilience of one dimension is weak; the general level is that the resilience of one dimension is strong and the resilience of two dimensions is weak; and the poor level is that the resilience of three dimensions is weak.

4. A system for rapid assessment of urban community ecological resilience, based on the method for rapid assessment of urban community ecological resilience according to claim 1, characterized in that, The system comprises a data acquisition module, a community multi-dimensional resilience calculation module, a community sorting module, a community resilience benchmark value calculation module, a community multi-dimensional resilience strong and weak analysis module and a community comprehensive resilience evaluation module; The data acquisition module acquires city index data, and establishes a city standard database; The community multi-dimensional resilience calculation module calculates the resilience evaluation values of the scale, density and morphology of each community in the city, i.e. the community scale resilience evaluation value, the community density resilience evaluation value and the community morphology resilience evaluation value; The community sorting module first calculates the scale, density and morphology resilience evaluation values of all communities in the city, and generates a comprehensive sorting index of each community based on the scale, density and morphology resilience evaluation values of all communities; then, the comprehensive sorting index of each community is arranged in ascending order, and the final community sorting sequence is obtained, i.e. the sum of the sequence numbers of the three dimensions of the community is arranged in ascending order from small to large; The community resilience benchmark value calculation module calculates the standard community based on the community sorting sequence, and determines the resilience benchmark values of the scale, density and morphology of the community; The community multi-dimensional resilience strong and weak analysis module classifies each community in the scale, density and morphology resilience three dimensions based on the resilience benchmark values of the scale, density and morphology of the community, and divides the community into strong resilience community and weak resilience community; The community comprehensive resilience evaluation module evaluates the comprehensive resilience of the community based on the resilience classification of the community in the scale, density and morphology resilience three aspects.

5. A computer readable storage medium for performing the method of rapid assessment of urban community ecological resilience according to any one of claims 1 to 3, characterized in that, It stores executable instructions, which, when executed, cause the processor to perform the rapid evaluation method of the ecological resilience of the urban community.

6. A computer program product for performing the method of rapid assessment of urban community ecological resilience according to any one of claims 1 to 3, characterized in that, It comprises a computer program or instructions, which, when executed by the processor, implement the rapid evaluation method of the ecological resilience of the urban community.

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