Planning zoning-land use conduction effectiveness evaluation method and device

Abstract

The application provides a planning partition-land conduction effectiveness evaluation method and device, which has the following characteristics: step S1, constructing a planning partition-land function attribute conduction matrix; step S2, obtaining a plurality of planning land vector graph patches of the planning partition; step S3, obtaining a dominant land type; step S4, aggregating the planning land vector graph patches to obtain land aggregation graph patches; step S5, obtaining coordinate values of each vertex of the planning partition and the land aggregation graph patches; step S6, calculating a characteristic vector; step S7, calculating a characteristic vector; step S8, calculating a conduction deviation coefficient; and step S9, obtaining a conduction effectiveness evaluation result according to the conduction deviation coefficient. In summary, the method can obtain the conduction effectiveness evaluation result.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of territorial space planning, and particularly relates to a planning subarea-land use conduction effectiveness evaluation method and device. BACKGROUND

[0002] A territorial space planning system integrating urban and rural planning, land use planning, environmental protection planning and various types of space planning is established. The territorial space planning proposes a spatial utilization planning control mode of planning subarea and planning land use. According to the requirements of planning subarea, the first-level planning subarea includes seven types, namely, ecological protection area, ecological control area, farmland protection area, and urban development area, rural development area, marine development area, and mineral energy development area. Under the first-level subarea, the urban development area is divided into 10 types of second-level subareas, the rural development area is divided into 4 types of second-level subareas, and the marine development area is divided into 6 types of second-level subareas.

[0003] According to the spatial utilization planning control mode of subarea and land use set by the territorial space planning system, there is a certain degree of correspondence between different planning subareas and planning land use classification. That is, a certain type of planning land use type should be mainly used in a certain type of planning subarea, but different types of planning land use may exist in the planning subarea.

[0004] This control mode is inherited from land use planning. In the original land use planning system, the conduction evaluation from planning subarea to planning land use is based on the area quantity change of the main land use in the subarea, and it is impossible to evaluate the effectiveness of the spatial position and structure conduction between the planning subarea and the planning land use. In the territorial space planning system, the existing technical method only qualitatively evaluates the similarity of the functional attributes of the dominant land use in the planning subarea and the function of the planning subarea.

[0005] The patent No. CN103177338B mainly discloses an evaluation base map with only main urban area data information drawn according to urban plane topographic data, determines the elements and division methods affecting the urban space subarea, then performs urban division and secondary division, and finally adjusts according to elastic elements.

[0006] The patent No. CN104679951B discloses a method for urban block functional zoning based on multi-factor space clustering, which mainly comprises the following steps: firstly, determining the influencing factors of the regional space development framework, and then dividing the influence range of various factors on the surrounding area in a distance attenuation manner; performing correlation analysis on the space influencing factors to determine whether the spatial relationship of different factors meets the condition of space dimension reduction; reducing the multi-dimensional data, and inducing the multiple influencing factors into several main factors of spatial regularity distribution through calculation; and finally, determining the basic characteristics of each regional type according to the standard deviation multiple of the average value of the main factors and the initial space influencing factors in each regional type and the overall average value in the target area, and determining the urban block functional zoning.

[0007] The above disclosed patent technology mainly focuses on the construction of space planning zoning, and does not elaborate on how to evaluate the effectiveness of the transmission from the constructed space planning zoning to the planning land.

[0008] In summary, the prior art is difficult to judge the spatial position and structure of the planning zoning to the land transmission, and it is more difficult to make a quantitative comparison and complete a systematic evaluation on the effectiveness of the spatial position and structure of different types of planning zoning or different regional planning zoning to the planning land transmission. SUMMARY

[0009] The present application is made to solve the above problems, and aims to provide a planning zoning-land transmission effectiveness evaluation method and device.

[0010] The present application provides a planning zoning-land transmission effectiveness evaluation method, which is used to obtain the transmission effectiveness evaluation result of the planning zoning according to the land use information and the zoning type of the planning zoning, and has the following characteristics: step S1, constructing a planning zoning-land function attribute transmission matrix according to the existing planning zoning and land management rules, wherein the planning zoning-land function attribute transmission matrix comprises the corresponding relationship between each zoning type and each land type; step S2, obtaining a plurality of planning land vector polygons according to the land use information and the spatial range of the planning zoning, wherein each planning land vector polygon corresponds to a land type; step S3, taking the land type corresponding to the zoning type of the planning zoning as the dominant land type according to the planning zoning-land function attribute transmission matrix; step S4, aggregating the planning land vector polygons corresponding to each dominant land type to obtain a land aggregation polygon of the planning zoning; step S5, obtaining the coordinate values of each vertex of the planning zoning and the land aggregation polygon respectively according to the x-y coordinate system; step S6, calculating the distance between each two vertices according to the coordinate values of the vertices of the planning zoning, and constructing a feature vector according to the two vertices corresponding to the maximum distance Step S7, the distance between each two vertices is calculated according to the coordinate values of the vertices of the land aggregation map, and a feature vector is constructed according to the two vertices corresponding to the maximum distance Step S8, the conduction deviation coefficient a of the planning district is calculated according to the feature vector and the feature vector diff Step S9, the conduction effectiveness evaluation result is obtained according to the conduction deviation coefficient a diff

[0011] In the planning district-land conduction effectiveness evaluation method provided by the application, the following features can also be provided: in steps S6 and S7, the specific method for constructing the feature vector according to the vertices p m (x m ,y m ) and p n (x n ,y n ) corresponding to the maximum distance is as follows: when y m >y n , take as the feature vector or the feature vector when y m =y n and x m >x n , take as the feature vector or the feature vector when y m =y n and x m <x n , take as the feature vector or the feature vector when y m <y n , take as the feature vector or the feature vector

[0012] In the planning district-land conduction effectiveness evaluation method provided by the application, the following features can also be provided: in step S8, the calculation expression of the conduction deviation coefficient a diff is as follows: In the formula, x land and y land are the x-axis coordinate and y-axis coordinate of the feature vector , respectively, and x region and y region are the x-axis coordinate and y-axis coordinate of the feature vector ​​The x-axis coordinate and the y-axis coordinate of the center of the planning sub-district.

[0013] In the planning sub-district-land conduction effectiveness evaluation method provided by the application, the evaluation method of the conduction effectiveness evaluation result in step S9 can be: obtaining the conduction effectiveness evaluation result according to the size of the conduction deviation coefficient α diff ; or calculating the conduction effectiveness evaluation result according to the conduction deviation coefficient α diff and the land area proportion of all lands corresponding to the dominant land type in the planning sub-district.

[0014] In the planning sub-district-land conduction effectiveness evaluation method provided by the application, the element in the planning sub-district-land function attribute conduction matrix in step S1 can be the corresponding relationship between the corresponding sub-district type and the corresponding land type, the value of the element can be 0 or 1, and when the value of the element is 0, the corresponding relationship is that the land type does not belong to the dominant land type of the sub-district type, and when the value of the element is 1, the corresponding relationship is that the land type belongs to the dominant land type of the sub-district type.

[0015] In the planning sub-district-land conduction effectiveness evaluation method provided by the application, in the aggregation process of step S4, the aggregation distance threshold can be greater than the maximum linear land width, and the holes can not be filled.

[0016] This invention also provides a planning zoning-land use transmission effectiveness assessment device, used to obtain the transmission effectiveness assessment result of the planning zoning based on the land use information and zoning type of the planning zoning, characterized by the following features: a user input module for user input of the spatial range, land use information, and zoning type of the planning zoning; a vector map extraction module for obtaining multiple planning land use vector maps based on the spatial range and land use information of the planning zoning, each planning land use vector map map corresponding to a land use type; a matrix storage module for storing a preset planning zoning-land use function attribute transmission matrix, the planning zoning-land use function attribute transmission matrix including the correspondence between each zoning type and each land use type; and a dominant land use type generation module, used for... Based on the planning zoning-land use function attribute transmission matrix, the land use type corresponding to the zoning type of the planning zoning is taken as the dominant land use type; the map patch aggregation module is used to aggregate the planning land use vector maps corresponding to each dominant land use type to obtain the land use aggregate map patch of the planning zoning; the vertex coordinate generation module is used to obtain the coordinate values ​​of each vertex of the planning zoning and the land use aggregate map patch according to the xy coordinate system; the zoning maximum vertex generation module is used to calculate the distance between each pair of vertices according to the coordinate values ​​of each vertex of the planning zoning, and take the two vertices with the largest distance as the zoning vertices; the first feature vector generation module stores a preset feature vector construction method, and is used to construct feature vectors according to the feature vector construction method and the zoning vertices. The maximum vertex generation module calculates the distance between any two vertices based on the coordinates of each vertex in the land use aggregation patch, and identifies the two vertices with the largest distance as the land use vertices. The second feature vector generation module stores a preset feature vector construction method, used to construct feature vectors based on the feature vector construction method and the land use vertices. The transmission deviation coefficient calculation module stores preset formulas for calculating the transmission deviation coefficient, which are used to calculate the coefficient based on the feature vector. and eigenvectors The transmission deviation coefficient α of the planning zone was calculated. diff The module for generating transmission effectiveness assessment results is used to determine the transmission deviation coefficient α. diff The results of the propagation effectiveness evaluation are obtained, where the two vertices corresponding to the largest distance are vertices p. m (x m ,y m ) and vertex p n (x n ,y n When y = y, the feature vector construction method is: m >y m At that time, As feature vectors or feature vector ym = y n and x m > x n , then as a feature vector or a feature vector y m = y n and x m < x n , then as a feature vector or a feature vector y m < y n , then as a feature vector or a feature vector The conduction deviation coefficient calculation formula is: In the formula, x land and y land are the x-axis coordinate and y-axis coordinate of the feature vector , respectively, and x region and y region are the x-axis coordinate and y-axis coordinate of the feature vector , respectively.

[0017] Effects of the application

[0018] According to the planning subarea-land conduction effectiveness evaluation method and device, the dominant land type of each subarea type is obtained by constructing a planning subarea-land function attribute conduction matrix, and then the land aggregation plot is aggregated from the planning land vector plot, the conduction deviation coefficient a diff between 0 and 1 is obtained by calculating the planning subarea and the land aggregation plot, and then the conduction effectiveness evaluation result of the planning subarea is obtained according to the conduction deviation coefficient a diff . Therefore, the planning subarea-land conduction effectiveness evaluation method and device can calculate the quantitative data of the conduction effectiveness of the standard subarea and then obtain the conduction effectiveness evaluation result. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 is a flowchart of the planning subarea-land conduction effectiveness evaluation method in the embodiment of the application;

[0020] Figure 2 is a schematic diagram of the planning land vector plot of subarea 1 in the embodiment of the application;

[0021] Figure 3 is a schematic diagram of the planning land vector plot of subarea 2 in the embodiment of the application;

[0022] Figure 4 is a schematic diagram of a planning land vector polygon of a third planning district in an embodiment of the present application;

[0023] Figure 5 is a schematic diagram of a land aggregation polygon of three planning districts in an embodiment of the present application;

[0024] Figure 6 is a block diagram of a planning district-land conduction effectiveness evaluation device in an embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to make the technical means, creative features, purposes and effects of the present application easy to understand, the following embodiments will be specifically described in combination with the drawings.

[0026] Figure 1 is a schematic diagram of a flow of a planning district-land conduction effectiveness evaluation method in an embodiment of the present application.

[0027] As shown in Figure 1 , the planning district-land conduction effectiveness evaluation method of the present embodiment is used to obtain a conduction effectiveness evaluation result of a planning district according to land use information and a district type of the planning district, and includes the following steps:

[0028] Step S1, according to existing planning districts and land control rules, a planning district-land function attribute conduction matrix is constructed, the planning district-land function attribute conduction matrix includes a corresponding relationship of each district type and each land type.

[0029] Among them, the elements in the planning district-land function attribute conduction matrix are the corresponding relationship of the corresponding district type and the corresponding land type, the value of the element is 0 or 1, when the value of the element is 0, the corresponding relationship is that the land type does not belong to the dominant land type of the district type, and when the value of the element is 1, the corresponding relationship is that the land type belongs to the dominant land type of the district type.

[0030] The planning district-land function attribute conduction matrix in the present embodiment is shown in the following table:

[0031]

[0032]

[0033]

[0034] In the above table, the first column is each land type, the second column to the twenty-fifth column is each district type in turn, for example, the cell of the second row and the second column is 0, indicating that the cultivated land does not belong to the dominant land type of the ecological protection zone.

[0035] Step S2, according to the land use information and the spatial range of the planning zoning, a plurality of planning land vector map patches are obtained, each planning land vector map patch corresponds to a land use type.

[0036] Figure 2 is a schematic diagram of the planning land vector map patch of the zoning 1 in the embodiment of the application.

[0037] Figure 3 is a schematic diagram of the planning land vector map patch of the zoning 2 in the embodiment of the application.

[0038] Figure 4 is a schematic diagram of the planning land vector map patch of the zoning 3 in the embodiment of the application.

[0039] As shown in the drawings, Figures 2 to 4 the zoning type of the zoning 1 is a residential living area, the residential living area includes transportation land, public management and public service land, public facility land, residential land, special land and green land and open space land, the zoning type of the zoning 2 is a comprehensive service area, the comprehensive service area includes transportation land, public management and public service land, residential land and green land and open space land, and the zoning type of the zoning 3 is a comprehensive service area, the comprehensive service area includes transportation land, public management and public service land, residential land and green land and open space land.

[0040] Step S3, according to the planning zoning-land function attribute transmission matrix, the land type corresponding to the zoning type of the planning zoning is taken as the dominant land type.

[0041] Step S4, the planning land vector map patches corresponding to each dominant land type are aggregated to obtain the land aggregation map patches of the planning zoning.

[0042] In the aggregation process, the aggregation distance threshold is set to be greater than the maximum linear land width, and the holes are not filled.

[0043] Figure 5 is a schematic diagram of the land aggregation map patches of the three planning zoning in the embodiment of the application.

[0044] As shown in the drawings, Figure 5 (a) is the land aggregation map patch of the zoning 1, the residential land is the dominant land type in all land types contained by the zoning 1, (b) is the land aggregation map patch of the zoning 2, the public management and public service land is the dominant land type in all land types contained by the zoning 2, and (c) is the land aggregation map patch of the zoning 3, the public management and public service land is the dominant land type in all land types contained by the zoning 3.

[0045] Step S5, according to the x-y coordinate system, the respective vertex coordinates of the planning partition and the land aggregation map are obtained, in the embodiment, the x-y coordinate system can be WGS1984 or Geodetic 2000 ellipsoid, according to the actual geographic coordinate range of the planning partition, that is, the latitude and longitude, a specific projection band is selected to form the corresponding coordinate system.

[0046] Step S6, the distance between each two vertices is calculated according to the vertex coordinates of the planning partition, and the feature vector is constructed according to the two vertices corresponding to the maximum distance.

[0047] In the embodiment, the calculation expression of the maximum distance is as follows:

[0048]

[0049]

[0050]

[0051] In the formula, is the distance between the vertex p i with coordinates (x i ,y i ) and the vertex p j with coordinates (x j ,y j ), the vertices p n are all the vertices in the planning partition, is the maximum distance corresponding to the vertex p P , Max_Distance

[0052] In the embodiment, the maximum distance between the vertices of the partition 1 is 1889.4, the coordinates of the corresponding vertices are (410.14, 7525.66) and (2096.57, 6691.85), and the feature vector corresponding to the partition 1 is (-1695.43, 833.81), the maximum distance between the vertices of the partition 2 is 1333.6, the coordinates of the corresponding vertices are (2412.10, 6995.79) and (3318.58, 7973.92), and the feature vector corresponding to the partition 2 is (906.48, 978.13), the maximum distance between the vertices of the partition 3 is 670.5, the coordinates of the corresponding vertices are (7836.64, 2193.79) and (8466.44, 2423.92), and the feature vector corresponding to the partition 3 is (629.8, 230.13).

[0053] Step S7: Calculate the distance between each pair of vertices based on the coordinates of each vertex in the land use aggregation patch, and construct a feature vector based on the two vertices corresponding to the largest distance.

[0054] In steps S6 and S7, the vertex p corresponding to the maximum distance is determined. m (x m ,y m ) and vertex p n (x n ,y n The specific method for constructing the feature vector is as follows:

[0055] y m >y n At that time, As feature vectors or feature vector

[0056] y m =y n And x m >x n At that time, As feature vectors or feature vector

[0057] y m =y n And x m <x n At that time, As feature vectors or feature vector

[0058] y m <y n At that time, As feature vectors or feature vector

[0059] In this embodiment, the maximum distance between vertices of the land use aggregate patch corresponding to partition 1 is 1291.8, and the coordinates of the corresponding vertices are (671.10, 7499.64) and (1750.01, 6789.18). Therefore, the feature vector corresponding to the land use aggregate patch of partition 1... Given coordinates (-1078.91, 710.46), the maximum distance between vertices of the land use aggregation patch corresponding to partition 2 is 1031.5, with corresponding vertex coordinates of (2515.45, 7253.15) and (3282.99, 7942.22). Therefore, the feature vector corresponding to the land use aggregation patch of partition 2 is... The coordinates are (767.54, 689.07). The maximum distance between the vertices of the land use aggregation patch corresponding to partition 3 is 281.2, and the coordinates of the corresponding vertices are (7838.38, 2203.63) and (8094.48, 2319.66). Therefore, the feature vector corresponding to the land use aggregation patch of partition 3 is... The value is (256.1, 116.03).

[0060] Step S8, based on the feature vector and eigenvectors The transmission deviation coefficient α of the planning zone was calculated. diff .

[0061] Wherein, the transmission deviation coefficient α diff The calculation expression is:

[0062]

[0063]

[0064]

[0065]

[0066] In the formula x land and y land They are the feature vectors x-axis coordinates and y-axis coordinates, x region and y region They are the feature vectors The x-axis and y-axis coordinates.

[0067] In this embodiment, the conduction deviation coefficient α corresponding to partition 1 is calculated. diff The conduction deviation coefficient α corresponding to partition 2 is 0.332. diff The conduction deviation coefficient α corresponding to partition 3 is 0.24. diff The value is 0.583. This conduction deviation coefficient α diff The value of is between [0,1] and is dimensionless, which facilitates comparison in the evaluation of the effectiveness of planning zoning-land use transmission in different zoning types, regions and scales.

[0068] Step S9, based on the transmission deviation coefficient α diff The assessment method for obtaining the conduction effectiveness evaluation result is as follows:

[0069] According to the conduction deviation coefficient α diff The magnitude of the conduction efficiency is used to assess the effectiveness; or the conduction deviation coefficient α is used to determine the conduction efficiency. diffand the land area proportion of all lands corresponding to the dominant land type in the planning subarea is calculated to obtain the conduction effectiveness evaluation result.

[0070] In this embodiment, the conduction effectiveness evaluation results of subarea 1, subarea 2 and subarea 3 are obtained according to the size of the conduction deviation coefficient a diff The conduction effectiveness of each planning subarea is ranked from high to low as follows: subarea 2, subarea 1 and subarea 3.

[0071] Figure 6 is a block diagram of the planning subarea-land conduction effectiveness evaluation device in the embodiment of the present application.

[0072] As shown in Figure 6 , the planning subarea-land conduction effectiveness evaluation device 10 includes a user input module 101, a vector plot extraction module 102, a vector plot extraction module 103, a dominant land type generation module 104, a plot aggregation module 105, a vertex coordinate generation module 106, a subarea maximum vertex generation module 107, a first feature vector generation module 108, a land maximum vertex generation module 109, a second feature vector generation module 110, a conduction deviation coefficient calculation module 111, a conduction effectiveness evaluation result generation module 112, and a control module 113 for controlling the above-mentioned modules.

[0073] The user input module 101 is used for the user to input the spatial range of the planning subarea, land use information and subarea type.

[0074] The vector plot extraction module 102 is used to obtain a plurality of planning land vector plots according to the spatial range of the planning subarea and the land use information, each planning land vector plot corresponding to a land type.

[0075] The matrix storage module 103 is used to store a preset planning subarea-land function attribute conduction matrix, which includes the correspondence between each subarea type and each land type.

[0076] The dominant land type generation module 104 is used to take the land type corresponding to the subarea type of the planning subarea as the dominant land type according to the planning subarea-land function attribute conduction matrix.

[0077] The plot aggregation module 105 is used to aggregate the planning land vector plots corresponding to each dominant land type to obtain the land aggregated plot of the planning subarea.

[0078] The vertex coordinate generation module 106 is used to obtain the coordinate values of each vertex of the planning subarea and the land aggregated plot in the x-y coordinate system, respectively.

[0079] The partition maximum vertex generation module 107 is configured to calculate the distance between each two vertices according to the coordinate values of the vertices of the planning partition, and take the two vertices corresponding to the maximum distance as the partition vertices.

[0080] The first feature vector generation module 108 stores a preset feature vector construction method, and is configured to construct the feature vector according to the feature vector construction method and the partition vertices.

[0081] The land use maximum vertex generation module 109 is configured to calculate the distance between each two vertices according to the coordinate values of the vertices of the land use aggregate map, and take the two vertices corresponding to the maximum distance as the land use vertices.

[0082] The second feature vector generation module 110 stores a preset feature vector construction method, and is configured to construct the feature vector according to the feature vector construction method and the land use vertices.

[0083] When the two vertices corresponding to the maximum distance are vertex p (x, y) and vertex p (x, y), the feature vector construction method is as follows: m (x m ,y m ) and vertex p n (x n ,y n ) when the two vertices corresponding to the maximum distance are vertex p (x, y) and vertex p (x, y), the feature vector construction method is as follows:

[0084] y m >y n , and the feature vector is or the feature vector

[0085] y m =y n and x m >x n , and the feature vector is or the feature vector

[0086] y m =y n and x m <x n , and the feature vector is or the feature vector

[0087] y m <y n , and the feature vector is or the feature vector ​​​​

[0088] The transmission deviation coefficient calculation module 111 stores a preset transmission deviation coefficient calculation formula, which is used to calculate the transmission deviation coefficient based on the feature vector. and eigenvectors The transmission deviation coefficient α of the planning zone was calculated. diff .

[0089] The formula for calculating the conduction deviation coefficient is as follows:

[0090]

[0091]

[0092]

[0093]

[0094] In the formula x land and y land They are the feature vectors x-axis coordinates and y-axis coordinates, x region and y region respectively, feature vectors The x-axis and y-axis coordinates.

[0095] The conduction effectiveness assessment result generation module 112 is used to generate results based on the conduction deviation coefficient α. diff The results of the conduction effectiveness assessment were obtained.

[0096] The role and effect of the embodiments

[0097] According to the planning zoning-land use transmission effectiveness assessment method and apparatus involved in this embodiment, the dominant land use type of each zoning type is obtained by constructing a planning zoning-land use functional attribute transmission matrix, and then land use aggregate patches are obtained by aggregating from the planning land use vector patches. The transmission deviation coefficient α, which takes a value between 0 and 1, is obtained by calculating the planning zoning and land use aggregate patches. diff Then, based on the transmission deviation coefficient α diff The transmission effectiveness assessment results for this planning zone are obtained. In summary, this method can calculate quantitative data on the transmission effectiveness of the planning zone and thus obtain the transmission effectiveness assessment results.

[0098] The above embodiments are preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention.

Claims

1. A method for evaluating the conductive effectiveness of a planning district, comprising: obtaining land use information and a district type of a planning district; and obtaining an evaluation result of the conductive effectiveness of the planning district based on the land use information and the district type of the planning district. The method comprises the following steps: Step S1, constructing a planning zoning-land use function attribute transmission matrix according to existing planning zoning and land use control rules, the planning zoning-land use function attribute transmission matrix comprising a corresponding relationship between each zoning type and each land use type; Step S2, obtaining a plurality of planning land use vector graph patches according to the land use information and the spatial range of the planning zoning, each planning land use vector graph patch corresponding to a land use type; Step S3, taking the land use type corresponding to the zoning type of the planning zoning as a dominant land use type according to the planning zoning-land use function attribute transmission matrix; Step S4, aggregating the planning land use vector graph patches corresponding to each dominant land use type to obtain a land use aggregated graph patch of the planning zoning; Step S5, obtaining coordinate values of each vertex of the planning zoning and the land use aggregated graph patch respectively according to an x-y coordinate system; Step S6, the distance between each two vertices is calculated according to the coordinate values of the vertices of the planning partition, and a feature vector is constructed according to the two vertices corresponding to the maximum distance Step S7, according to the land use aggregation map spot each vertex coordinate value calculated from the distance between two vertices, and according to the maximum distance corresponding to the two vertices to construct the feature vector Step S8, calculating the conduction deviation coefficient α of the planning partition according to the feature vector and the feature vector The conduction deviation coefficient α of the planning partition is calculated diff ; Step S9, obtaining the conduction effectiveness evaluation result according to the conduction deviation coefficient α diff obtaining the conduction effectiveness evaluation result.

2. The planning zoning-land use transmission effectiveness evaluation method according to claim 1, characterized in that: wherein In the step S6 and the step S7, the specific method for constructing the feature vector according to the vertex p m (x m ,y m ) and the vertex p n (x n ,y n ) corresponding to the maximum distance is as follows: y m >y n when as the feature vector or the feature vector y m = y n and x m > x n then as the feature vector or the feature vector y m = y n and x m < x n then as the feature vector or the feature vector y m <y n When As the feature vector Or the feature vector 3. The planning zoning-land use transmission effectiveness evaluation method according to claim 1, characterized in that: wherein In the step S8, the conduction deviation coefficient a diff is calculated by the following expression. where x land and y land are the x-axis and y-axis coordinates of the eigenvector x region and y region are the x-axis and y-axis coordinates of the eigenvector ​ 4. The planning zoning-land use transmission effectiveness evaluation method according to claim 1, characterized in that: wherein In the step S9, the evaluation method of the transmission effectiveness evaluation result is: According to the conduction deviation coefficient α diff The conduction effectiveness evaluation result is obtained according to the size of the conduction deviation coefficient α According to the conduction deviation coefficient α diff And the land area proportion of all land corresponding to the dominant land type in the planning subarea is calculated to obtain the conduction effectiveness evaluation result.

5. The planning zoning-land use transmission effectiveness evaluation method according to claim 1, characterized in that: wherein In the step S1, an element in the planning zoning-land use function attribute transmission matrix is a corresponding relationship between a corresponding zoning type and a corresponding land use type, and a value of the element is 0 or 1, when the value of the element is 0, the corresponding relationship is that the land use type does not belong to the dominant land use type of the zoning type, when the value of the element is 1, the corresponding relationship is that the land use type belongs to the dominant land use type of the zoning type.

6. The planning zoning-land use transmission effectiveness evaluation method according to claim 1, characterized in that: wherein In the aggregation process of the step S4, an aggregation distance threshold is greater than a maximum linear land use width, and holes are not filled.

7. A zoning-land-use conductive effectiveness evaluation device for obtaining a conductive effectiveness evaluation result of a zoning land-use based on land-use information and zoning type of the zoning land-use, characterized by comprising: a zoning-land-use conductive effectiveness evaluation unit for obtaining the conductive effectiveness evaluation result of the zoning land-use based on the land-use information and the zoning type of the zoning land-use. It comprises: a user input module configured to input, by a user, a spatial range of the planning zoning, land use information, and a zoning type; a vector graph patch extraction module configured to obtain a plurality of planning land use vector graph patches according to the spatial range of the planning zoning and the land use information, each planning land use vector graph patch corresponding to a land use type; a matrix storage module configured to store a preset planning zoning-land use function attribute transmission matrix, the planning zoning-land use function attribute transmission matrix comprising a corresponding relationship between each zoning type and each land use type; a dominant land use type generation module configured to take the land use type corresponding to the zoning type of the planning zoning as a dominant land use type according to the planning zoning-land use function attribute transmission matrix; a graph patch aggregation module configured to aggregate the planning land use vector graph patches corresponding to each dominant land use type to obtain a land use aggregated graph patch of the planning zoning; and a transmission effectiveness evaluation module configured to evaluate a transmission effectiveness of the planning zoning-land use function attribute transmission matrix according to the land use aggregated graph patch. The vertex coordinate generation module is configured to obtain coordinate values of respective vertices of the planning partition and the land use aggregated map spot respectively according to an x-y coordinate system; The partition maximum vertex generation module is configured to calculate distances between respective vertices of the planning partition, and take two vertices corresponding to the maximum distance as partition vertices; The first feature vector generating module stores a preset feature vector construction method, and is configured to construct a feature vector according to the feature vector construction method and the partition vertex The land use maximum vertex generation module is configured to calculate distances between respective vertices of the land use aggregated map spot, and take two vertices corresponding to the maximum distance as land use vertices; A second feature vector generating module, which stores a preset feature vector construction method, is configured to construct a feature vector according to the feature vector construction method and the land vertex The conduction deviation coefficient calculation module stores a preset conduction deviation coefficient calculation formula, and is configured to calculate the conduction deviation coefficient α of the planning partition according to the feature vector and the feature vector . diff ; The conduction effectiveness evaluation result generation module is configured to generate the conduction effectiveness evaluation result according to the conduction deviation coefficient α diff obtain the conduction effectiveness evaluation result, Among them, the two vertices corresponding to the maximum distance are vertex p m (x m ,y m ) and vertex p n (x n ,y n ) When the feature vector construction method is: y m >y n When as the feature vector or the feature vector y m = y n and x m > x n , then as the feature vector or the feature vector y m = y n and x m < x n then as the feature vector or the feature vector y m <y n When as the feature vector or the feature vector The conduction deviation coefficient calculation formula is: where x land and y land are the x-axis and y-axis coordinates of the eigenvector x region and y region are the x-axis and y-axis coordinates of the eigenvector ​

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