CN113780857A - Method and device for measuring land utilization vitality fitness and electronic equipment - Google Patents
Method and device for measuring land utilization vitality fitness and electronic equipment Download PDFInfo
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Abstract
The application provides a method and a device for measuring soil utilization vitality fitness and an electronic device, wherein the method comprises the following steps: acquiring current parcel information and interest point information corresponding to a target grid in a target area; determining the actual land utilization activity of the target grid according to the interest point information of the target grid; inputting the current land parcel information of the target grid into a land utilization vitality prediction model to obtain corresponding expected land utilization vitality; and determining the land utilization vitality fitness of the target grid according to the actual land utilization vitality and the expected land utilization vitality of the target grid. The method provided by the scheme defines the difference between the current land utilization activity and the expected value by calculating the land utilization activity fitness, further provides objective basis for compiling the urban planning scheme, and lays a foundation for improving the scientificity and the reliability of the urban planning result.
Description
Technical Field
The application relates to the technical field of urban management, in particular to a method and a device for measuring soil utilization vitality fitness and an electronic device.
Background
The city is a main place for human living, and the quality of life of people can be effectively improved by planning the city according to the objective law of city development. Cities are a geographical complex of population, resources, environment and socioeconomic elements, and therefore, the quantitative basis for determining a suitable urban plan is the focus of research at present.
In the prior art, a planner usually makes a city planning map based on the land utilization vitality of each region in the city. For example, if the pedestrian flow density detector detects that the pedestrian flow density of a certain street is large, that is, the land utilization activity is large, a bus route, a hospital or a shopping mall is designed for the street.
However, the land utilization vitality is not constant and changes with the change of factors such as location and traffic conditions, that is, the urban planning performed only according to the detection result of the land utilization vitality lacks objectivity, which is not beneficial to ensuring the scientificity and reliability of the urban planning scheme.
Disclosure of Invention
The application provides a method and a device for measuring soil utilization vitality fitness and electronic equipment, which aim to overcome the defects that a soil utilization vitality detection result obtained in the prior art is lack of objectivity in the aspect of urban planning and the like.
The application provides a method for measuring soil utilization vitality fitness, which comprises the following steps:
acquiring current parcel information and interest point information corresponding to a target grid in a target area;
determining the actual land utilization activity of the target grid according to the interest point information of the target grid;
inputting the current land parcel information of the target grid into a land utilization vitality prediction model to obtain corresponding expected land utilization vitality;
and determining the land utilization vitality fitness of the target grid according to the actual land utilization vitality and the expected land utilization vitality of the target grid.
Optionally, the determining the actual land utilization activity of the target grid according to the interest point information of the target grid includes:
determining the number of comments and the number of photos of various interest points in the target grid according to the interest point information;
and calculating expected land utilization activity corresponding to the various interest points according to the number of the comments and the number of the photos of the various interest points.
Optionally, the inputting the current parcel information of the target grid into a land use vitality prediction model to obtain a corresponding expected land use vitality includes:
obtaining expected land use vigor and development potential of peripheral grids adjacent to the target grid; determining the grid state of the target grid according to the expected land utilization vitality of the peripheral grid and the current plot information of the target grid;
determining the development potential of the target grid, the influence of the grid state, the influence of the development potential on the vitality and the potential influence among grids according to the grid state of the target grid by using the land utilization vitality prediction model;
determining the expected development potential of the target grid according to the development potential of the target grid, the development potential of peripheral grids, the influence of grid states and the potential influence among grids;
and determining the expected land utilization vitality of the target grid according to the expected development potential and the influence of the development potential on the vitality of the target grid.
Optionally, the determining the land use vitality fitness of the target grid according to the actual land use vitality and the expected land use vitality of the target grid includes:
calculating land utilization vitality fitness of the target grid according to the following formula:
wherein A ishRepresenting land utilization vitality fitness of the target grid, ht,sRepresenting a target gridThe expected land utilization vigor of the land,
representing the actual land use vigor of the target grid.
Optionally, the method further includes:
acquiring a longitude and latitude range of a target area;
and according to a preset grid division scale and the longitude and latitude range of the target area, carrying out grid division on the target area to obtain a plurality of grids.
Optionally, the obtaining current parcel information corresponding to the target grid in the target area includes:
judging whether the target grid corresponds to two or more kinds of land parcel information;
and determining the current plot information corresponding to the target grid according to the grid occupation ratio of each plot and the similarity between the plot information.
Optionally, the parcel information at least includes parcel area, distance to city center, average distance from parcel to commercial facility, number of road segments around parcel, residential district volume ratio, surrounding traffic jam index, land property number and grid land type vitality.
In a second aspect, the present application provides a device for measuring soil utilization vitality fitness, including:
the acquisition module is used for acquiring current parcel information and interest point information corresponding to a target grid in a target area;
the first determination module is used for determining the actual land utilization activity of the target grid according to the interest point information of the target grid;
the second determination module is used for inputting the current plot information of the target grid into the land utilization vitality prediction model to obtain the corresponding expected land utilization vitality;
and the measuring module is used for determining the land utilization vitality fitness of the target grid according to the actual land utilization vitality and the expected land utilization vitality of the target grid.
A third aspect of the present application provides an electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executes computer-executable instructions stored by the memory to cause the at least one processor to perform the method as set forth in the first aspect above and in various possible designs of the first aspect.
A fourth aspect of the present application provides a computer-readable storage medium having stored thereon computer-executable instructions that, when executed by a processor, implement a method as set forth in the first aspect and various possible designs of the first aspect.
This application technical scheme has following advantage:
according to the method, the device and the electronic equipment for measuring the land utilization vitality fitness, the current land parcel information and the interest point information corresponding to the target grid in the target area are obtained; determining the actual land utilization activity of the target grid according to the interest point information of the target grid; inputting the current land parcel information of the target grid into a land utilization vitality prediction model to obtain corresponding expected land utilization vitality; and determining the land utilization vitality fitness of the target grid according to the actual land utilization vitality and the expected land utilization vitality of the target grid. The method provided by the scheme defines the fluctuation condition of the land utilization activity by calculating the land utilization activity fitness, provides objective basis for compiling the urban planning scheme and lays a foundation for improving the reliability of the urban planning result.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art according to these drawings.
Fig. 1 is a schematic structural diagram of a land use vitality fitness measurement system based on an embodiment of the present application;
fig. 2 is a schematic flowchart of a method for measuring land use vitality fitness according to an embodiment of the present disclosure;
FIG. 3 is a graph illustrating exemplary mean square error variations provided by embodiments of the present application;
FIG. 4 is a graphical illustration of exemplary land use vitality fitness provided by embodiments of the present application;
fig. 5 is a schematic structural diagram of a land use vitality fitness measuring device provided in an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Furthermore, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. In the description of the following examples, "plurality" means two or more unless specifically limited otherwise.
In the prior art, a planner usually makes a city planning map based on the land utilization vitality of each region in the city. For example, if the pedestrian flow density detector detects that the pedestrian flow density of a certain street is large, that is, the land utilization activity is large, a bus route, a hospital or a shopping mall is designed for the street. However, the land utilization vitality is not constant and changes with the change of factors such as location and traffic conditions, that is, the urban planning performed only according to the detection result of the land utilization vitality lacks objectivity, which is not beneficial to ensuring the scientificity and reliability of the urban planning scheme.
In order to solve the above problems, the method, the device and the electronic device for measuring land utilization vitality fitness provided by the embodiment of the application acquire current parcel information and interest point information corresponding to a target grid in a target area; determining the actual land utilization activity of the target grid according to the interest point information of the target grid; inputting the current land parcel information of the target grid into a land utilization vitality prediction model to obtain corresponding expected land utilization vitality; and determining the land utilization vitality fitness of the target grid according to the actual land utilization vitality and the expected land utilization vitality of the target grid. The method provided by the scheme defines the fluctuation condition of the land utilization activity by calculating the land utilization activity fitness, provides objective basis for compiling the urban planning scheme and lays a foundation for improving the scientificity and reliability of the urban planning result.
The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present invention will be described below with reference to the accompanying drawings.
First, the structure of the land use vitality fitness measurement system on which the present application is based will be described:
the method and the device for measuring the land use vitality fitness and the electronic equipment are suitable for measuring the land use vitality fitness of the grid in the target area. As shown in fig. 1, the structure of the system for measuring land use vitality fitness based on the embodiment of the present application is schematically illustrated, and the system mainly includes a data acquisition device and a measuring device for measuring land use vitality fitness of a grid in a target area. Specifically, the data acquisition device acquires the land parcel information and the interest point information related to the target area, and sends the information to the land utilization vitality fitness measuring device, and the land utilization vitality fitness of each grid in the target area is determined by the land utilization vitality fitness measuring device according to the obtained information.
The embodiment of the application provides a method for measuring soil utilization vitality fitness, which is used for measuring the soil utilization vitality fitness of a grid in a target area. The implementation subject of the embodiment of the present application is an electronic device, such as a server, a desktop computer, a notebook computer, a tablet computer, and other electronic devices that can be used to measure the land use vitality fitness.
As shown in fig. 2, a flowchart of a method for measuring land use vitality fitness provided in an embodiment of the present application is shown, where the method includes:
In terms of urban planning, the target area generally refers to a city or a region, and the like, that is, the coverage area is large, and the types of facilities involved are also large. In order to refine the land utilization vitality fitness measurement result, urban grid division can be performed on the target area in advance to further obtain the land utilization vitality fitness measurement result of each grid.
Specifically, in an embodiment, a latitude and longitude range of a target area may be obtained; and according to a preset grid division scale and the longitude and latitude range of the target area, carrying out grid division on the target area to obtain a plurality of grids.
For example, a latitude and longitude range of a study object area (target area) is determined, and a closed graph (analyzed in an approximate rectangle on a city scale) is formed by connecting latitude and longitude values. And then, respectively cutting the target by taking 0.5 longitude and 0.5 latitude as side lengths to obtain the urban grid with the length of 0.5 latitude and the width of 0.5 longitude. And the coordinate of the central point of each grid (namely the longitude and latitude coordinate is the average value of the upper limit and the lower limit of the longitude and latitude of the grid) is used as the position data field of the grid.
Specifically, in one embodiment, the target grid may be determined to correspond to two or more types of parcel information; and determining the current plot information corresponding to the target grid according to the grid occupation ratio of each plot and the similarity between the plot information.
Specifically, the alignment of the data space scale may be performed according to the relation of the parcel-city grid, that is, all data in the non-city grid scale is converted into the grid scale. For the plot scale data (a plot refers to a closed region surrounded by an urban road network, such as a plot area, etc.), the conversion is performed according to a "multiple maximum area method", that is, when a region included in one grid overlaps or crosses a plurality of plots, an index value of the grid is selected from the overlapped or crossed plots, specifically, an index value corresponding to the plot with the maximum area (grid occupancy ratio) or an index value of a plot type corresponding to the maximum total area of the plots with the same index value (high similarity between plot information) may be selected.
The interest point information can be extracted from the interest point database corresponding to the target area, and the interest point information truly reflects the use conditions of various facilities in the target grid, so that the actual land utilization vitality determined according to the interest point information is fit with the actual conditions of the target grid, and the accuracy of the calculation result of the land utilization vitality is improved.
It should be noted that the parcel is a planning unit of city planning, and may refer to a community, a square, an industrial park, or the like, and the current parcel information reflects various objective information of the parcel corresponding to the target grid, such as a parcel, a traffic condition, and parcel attributes.
Specifically, the expected land utilization activity of the target grid is objectively estimated according to the plot information corresponding to the plot to which the target grid belongs.
And 204, determining the land utilization vitality fitness of the target grid according to the actual land utilization vitality and the expected land utilization vitality of the target grid.
Specifically, the deviation between the actual land utilization vitality and the expected land utilization vitality of the target grid can be determined, and the deviation between the actual land utilization vitality and the expected land utilization vitality can be further quantified as the land utilization vitality fitness.
Specifically, in an embodiment, in order to directly determine the magnitude and direction of the land utilization vitality fitness, assuming that the target grid is a longitude t and a latitude s in the entire target area, or a t-th column and an s-th row, and the coordinate is a grid of (t, s), the land utilization vitality fitness of the target grid may be calculated according to the following formula:
wherein A ishRepresenting land utilization vitality fitness of the target grid, ht,sRepresenting the expected land use vigor of the target grid,
representing the actual land use vigor of the target grid.
Specifically, when Ah>At 0, it means that the actual land use activity of the target grid is lower than the expected land use activity; when A ish<At time 0, it means that the actual land use activity of the target grid is higher than the expected land use activity. Wherein A ishThe magnitude of the absolute value of (a) reflects the degree of deviation between the two.
Further, the city planner can adapt a degree A according to the land utilization vitalityhAnd analyzing the reasons of the deviation between the two, and further formulating a targeted city planning result.
On the basis of the foregoing embodiments, in order to improve the accuracy of the actual land use vitality and further improve the accuracy of the land use vitality fitness, as an implementable manner, in an embodiment, determining the actual land use vitality of the target grid according to the interest point information of the target grid includes:
step 2021, determining the number of comments and the number of photos of each type of interest points in the target grid according to the interest point information;
step 2022, calculating expected land utilization activity corresponding to the various interest points according to the number of the comments and the number of the photos of the various interest points.
It should be noted that the number of comments may be the total number of consumer comments about the point of interest, and the number of photos may be the total number of photos uploaded by the consumer about the point of interest. The number of the comments and the number of the photos can truly reflect the consumption enthusiasm condition of the interest points, can also be understood as the use condition of the user, and is also called land utilization vitality. The land use vitality specifically refers to land use vitality of facilities corresponding to the points of interest.
Specifically, the expected land use vigor may be calculated according to the following formula:
land utilization vitality +0.1 photo number
The weight coefficients of the number of comments and the number of photos may be specifically set according to actual conditions, and the embodiment of the present application is not limited.
In particular, the land use vitality of the facilities corresponding to all the points of interest contained by each grid may be calculated. When one grid comprises a plurality of facilities of the same land utilization type, the land utilization vitality of the same facility is summed, and then various land utilization vitality values corresponding to the grid are obtained.
On the basis of the above embodiments, in order to improve the accuracy of the expected land use vitality and further improve the accuracy of the land use vitality adaptation degree, as a practical way, in an embodiment, the current land block information of the target grid is input to the land use vitality prediction model to obtain the corresponding expected land use vitality, including:
step 2031, obtaining the expected land utilization activity and development potential of the peripheral grid adjacent to the target grid;
step 2032, determining the grid state of the target grid according to the expected land utilization vitality of the peripheral grid and the current plot information of the target grid;
step 2033, determining the development potential of the target grid, the influence of the grid state, the influence of the development potential on the vitality and the potential influence among grids according to the grid state of the target grid by using the land utilization vitality prediction model;
step 2034, determining the expected development potential of the target grid according to the development potential of the target grid, the development potential of the peripheral grids, the influence of the grid state and the potential influence among the grids;
step 2035 determines the expected land utilization vitality of the target grid according to the expected development potential of the target grid and the influence of the development potential on the vitality.
It should be noted that, the step 2031-2035 is specifically a prediction principle of the land vitality prediction model.
Specifically, the development potential of the target grid is determined according to the current parcel information, the expected development potential (actual development potential) of the target grid is determined by combining the development potential of the adjacent peripheral grid and the potential influence of the peripheral grid on the target grid, and finally the corresponding expected land utilization activity is calculated according to the expected development potential of the target grid.
The land use activity prediction model can be constructed by using a neural network, and the value of each parameter of the model is determined through repeated iterative computation in the model training process. The land utilization vitality of the grids is influenced by the basic attributes of the grids, the location conditions, the traffic conditions and other factors, and is also influenced by the peripheral grids. The vitality transfer effect is not an explicit functional relationship, but is implicit in the understanding of urban residents on regional facility layout, the embodiment of the application examines the spatial correlation relationship through two types of transfer, and the training process of the vitality prediction model is as follows:
(1) calculating the input index value of the first type of transfer:
the first type of transfer is land utilization of the peripheral gridActivity ht-1,sAnd ht,s-1Basic property, location condition and traffic condition of current target grid (current land parcel information x)t,s) Together as input for the current target grid. Grid state It,sCurrent parcel information x comprising a target grid (t, s)t,sAnd land use information h of surrounding landt-1,sAnd ht,s-1。
It,s＝[xt,s,ht-1,s,ht,s-1]
Wherein x ist,sIs the input vector for the target grid (t, s). x is the number oft,sIs 1 x N, where N is the total number of features. h ist,sIs the output vector of the target grid (t, s). h ist,sIs 1 x K, where K represents the total number of land use types considered. h ist,sEach element in the vector represents the vitality of the land use type.
(2) Calculating the parameter value of the model:
according to combined grid state It,sDetermining various kinds of parameters S in the modelt,s、it,s、ft,s,j、ot,sThese parameters determine the law of influence of land utilization vigor. St,sThe method is characterized by comprising the following steps of determining various land types according to current features, wherein the dimension of the land types is 1 xK. i.e. it,sRepresenting the influence of the state of the grid, ft,s,jRepresenting the potential influence between the grids, ot,sRepresenting the impact of developmental potential on viability.
St,s＝tanh(WCIt,s+bC)
it,s＝σ(WiIt,s+bi)
ft,s,j＝σ(Wf,jIt,s+bf,j)
ot,s＝σ(WoIt,s+bo)
In the formula, WC、Wi、Wo、Wf,jIs a weight parameter to be trained, bC、bi、bf,j、boAre bias parameters to be trained, the dimensions of which are respectivelyAre (N +2K) × K and K.
tanh is a commonly used hyperbolic tangent function in a neural network model, and is set to add a nonlinear transformation function in a fully-linear transformed neural network to capture a nonlinear relation and modify an output range to (-1, 1).
tanh(x)＝(ex-e(-x))/(ex+e(-x))
σ is another commonly used "sigmoid" function in neural network models that captures the non-linear relationship in an approximate way and modifies the output range to (0, 1).
σ(x)＝1/(1+e(-x))
(3) Calculating a land use potential value of the second type of transmission:
the second type of transmission is the potential S determined by inputting indexes when calculating the land use development potentialt,sAnd potential C of peripheral meshest-1,sAnd Ct,s-1The potential of the current target grid is acted on together to obtain the expected development potential C of the land utilization of the current target gridt,s。
Ct,s＝it,sSt,s+ft,s,1Ct-1,s+ft,s,2Ct,s-1
(4) Calculating and outputting a land utilization vitality result:
ht,svarious land utilization activities of the (t, s) grid are shown. The land use vitality of the urban grid is mainly influenced by two aspects, namely uncertainty or deviation brought by the general law of land use and individual characteristics. Generally speaking, land development follows market rules and half of the behavior guidelines of urban residents. But each city grid also has unique characteristics, so that the grid deviates from the general development rule, and the influences of position characteristics and other factors difficult to observe are all contained in ot,sThe method comprises the following steps:
ht,s＝ot,stanh(Ct,s)
(5) and (3) performing iterative training according to the model by relying on input and output data, stopping iteration if the mean square error difference of the model between two iterations is not large, recording the value of a model parameter, finishing training by the representative model at the moment, putting into use according to the current model parameter, and otherwise, continuing iterative computation.
The plot information at least comprises plot area, distance to city center, average distance from the plot to commercial facility, number of surrounding plots, residential district volume ratio, surrounding traffic jam index, land property number and grid land type vitality.
Specifically, the data of the number of peripheral road sections, the number of intersections, the number of rail transit stations, the number of bus stations, the number of parking lots and the like of each grid can be extracted from the urban road network database, and the urban congestion index data can be extracted from the urban traffic running state database.
Corresponding to ht,sThe various land utilization activities of the represented (t, s) grid at least include food activity, hotel activity, shopping activity, life service activity, beauty activity, tourist attraction activity, sports fitness activity, education and training activity, cultural media activity, medical activity, automobile service activity, traffic facility activity, financial activity, real estate activity, company and enterprise activity, government and institution activity, entrance and exit activity and natural land and feature activity.
The land use type division rule of the POI data can refer to the following table 1:
TABLE 1 land usage types of Point of interest POI data
Here, the point data of the facility type (for example, the total number of residential cells, the volume ratio, and the like) is matched by selecting the closest one of the distances from the facility to all the grids, and the matching is completed after all the facilities are matched to the corresponding grids. And for the point and line data (such as bus stations, rail transit stations, traffic routes and the like) of the statistical type, counting the number of all facilities meeting the requirements according to the range of 1000 meters around the central point of the grid.
In order to facilitate those skilled in the art to better understand the method for measuring land use vitality fitness provided in the embodiments of the present application, the embodiments of the present application provide the following experimental data:
in the embodiment of the application, the area within two rings of city A is used as a research object to carry out example research.
Step one, carrying out grid division according to the scale of a city; firstly, dividing plots according to a road network, and screening according to shapes to obtain 4584 plots of an A city; then, grid division is carried out by adopting a multiple maximum area method, and 22374 grids (the grid size is 222.4m by 170.4m) in the city A are finally obtained;
extracting city interest point data from an interest point database, extracting data such as the number of peripheral road sections, intersections, rail transit stations, bus stations, parking lots and the like of each grid from an urban road network database, and extracting city congestion index data from an urban traffic running state database;
thirdly, aligning the data space scale through the relation of the land parcel and the city grid; obtaining urban grid layer data by alignment;
TABLE 2 grid layer index number distribution characteristics
Classifying the interest points according to the land use types and calculating the vitality values of all types;
TABLE 3 number of urban grids corresponding to various land characteristics
Evaluating the land utilization activity fitness based on the land utilization activity prediction model, and calculating the value of each parameter of the model through multiple iterations;
TABLE 4 model weight parameter values
And step six, carrying out iterative training according to the model by relying on input and output data, stopping iteration if the mean square error difference of the model between two iterations is not large, recording the value of the model parameter, and otherwise, continuing iterative computation. As shown in fig. 3, a graph of the change of the mean square error provided for the embodiment of the present application shows that the mean square error converges with the training of the model;
and seventhly, predicting the land utilization vitality of the urban grid layer according to the model result, and comparing the predicted land utilization vitality with the current actual vitality to obtain the grid with the land utilization vitality which is obviously lower than or higher than the predicted value (expected land utilization vitality). The calculation result of the fitness may be presented in the form of fig. 4, and fig. 4 is a graphical representation of exemplary land use vitality fitness provided by the embodiment of the present application.
According to the method for measuring the land utilization vitality fitness, the current land parcel information and the interest point information corresponding to the target grid in the target area are obtained; determining the actual land utilization activity of the target grid according to the interest point information of the target grid; inputting the current land parcel information of the target grid into a land utilization vitality prediction model to obtain corresponding expected land utilization vitality; and determining the land utilization vitality fitness of the target grid according to the actual land utilization vitality and the expected land utilization vitality of the target grid. The method provided by the scheme defines the fluctuation condition of the land utilization activity by calculating the land utilization activity fitness, provides objective basis for compiling the urban planning scheme and lays a foundation for improving the reliability of the urban planning result. And the accuracy of the calculation result of the land utilization vitality fitness is further improved by improving the calculation results of the actual land utilization vitality and the expected land utilization vitality.
The embodiment of the application provides a device for measuring soil utilization vitality fitness, which is used for executing the method for measuring soil utilization vitality fitness provided by the embodiment.
Fig. 5 is a schematic structural diagram of a land use vitality fitness measuring device provided in the embodiment of the present application. The land use vitality fitness measuring device 50 includes: an acquisition module 501, a first determination module 502, a second determination module 503, and a measurement module 504.
The system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring current parcel information and interest point information corresponding to a target grid in a target area; the first determination module is used for determining the actual land utilization activity of the target grid according to the interest point information of the target grid; the second determination module is used for inputting the current plot information of the target grid into the land utilization vitality prediction model to obtain the corresponding expected land utilization vitality; and the measuring module is used for determining the land utilization vitality fitness of the target grid according to the actual land utilization vitality and the expected land utilization vitality of the target grid.
The specific manner in which the respective modules perform operations has been described in detail in the embodiments related to the method, and will not be described in detail herein.
The device for measuring the land use vitality fitness provided by the embodiment of the application is used for executing the method for measuring the land use vitality fitness provided by the embodiment, and the implementation mode and the principle are the same and are not repeated.
The embodiment of the application provides an electronic device for executing the land use vitality fitness measuring method provided by the embodiment.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device 60 includes: at least one processor 61 and memory 62;
the memory stores computer-executable instructions; the at least one processor executes the memory-stored computer-executable instructions to cause the at least one processor to perform the method of measuring land use vigor fitness provided by the above embodiments.
The electronic device provided by the embodiment of the application is used for executing the d-measurement method for land use vitality fitness provided by the embodiment, and the implementation manner and the principle of the d-measurement method are the same and are not repeated.
The embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored, and when a processor executes the computer-executable instructions, the method for measuring land use vitality fitness provided in any one of the above embodiments is implemented.
The storage medium containing the computer-executable instructions of the embodiment of the present application may be used to store the computer-executable instructions of the method for measuring land use vitality fitness provided in the foregoing embodiment, and the implementation manner and the principle thereof are the same and are not described again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It is obvious to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working process of the device described above, reference may be made to the corresponding process in the foregoing method embodiment, which is not described herein again.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A method for measuring soil utilization vitality fitness is characterized by comprising the following steps:
acquiring current parcel information and interest point information corresponding to a target grid in a target area;
determining the actual land utilization activity of the target grid according to the interest point information of the target grid;
inputting the current land parcel information of the target grid into a land utilization vitality prediction model to obtain corresponding expected land utilization vitality;
and determining the land utilization vitality fitness of the target grid according to the actual land utilization vitality and the expected land utilization vitality of the target grid.
2. The method of claim 1, wherein determining the actual land use vitality of the target grid from the point of interest information of the target grid comprises:
determining the number of comments and the number of photos of various interest points in the target grid according to the interest point information;
and calculating the actual land utilization activity corresponding to the various interest points according to the number of the comments and the number of the photos of the various interest points.
3. The method of claim 1, wherein inputting current parcel information of the target grid to a land use vitality prediction model to obtain a corresponding expected land use vitality comprises:
obtaining expected land use vigor and development potential of peripheral grids adjacent to the target grid;
determining the grid state of the target grid according to the expected land utilization vitality of the peripheral grid and the current plot information of the target grid;
determining the development potential of the target grid, the influence of the grid state on the development potential, the influence of the development potential on the vitality and the potential influence among grids according to the grid state of the target grid by using the land utilization vitality prediction model;
determining the expected development potential of the target grid according to the development potential of the target grid, the development potential of peripheral grids, the influence of grid states on the development potential and the potential influence among grids;
and determining the expected land utilization vitality of the target grid according to the expected development potential and the influence of the development potential on the vitality of the target grid.
4. The method of claim 1, wherein determining a land use vitality fitness for the target grid based on the actual land use vitality and the expected land use vitality for the target grid comprises:
calculating land utilization vitality fitness of the target grid according to the following formula:
wherein A ishRepresenting land utilization vitality fitness of the target grid, ht,sRepresenting the expected land use vigor of the target grid,
representing the actual land use vigor of the target grid.
5. The method of claim 1, further comprising:
acquiring a longitude and latitude range of a target area;
and according to a preset grid division scale and the longitude and latitude range of the target area, carrying out grid division on the target area to obtain a plurality of grids.
6. The method according to claim 1, wherein the obtaining current parcel information corresponding to the target grid in the target area comprises:
judging whether the target grid corresponds to two or more kinds of land parcel information;
and determining the current plot information corresponding to the target grid according to the grid occupation ratio of each plot and the similarity between the plot information.
7. The method of claim 1, wherein the parcel information comprises at least parcel area, distance to city center, average parcel to commercial facility distance, number of parcel perimeter segments, residential cell volume rate, perimeter traffic congestion index, number of land property categories, and mesh plot type vitality.
8. A device for measuring soil utilization vitality fitness, comprising:
the acquisition module is used for acquiring current parcel information and interest point information corresponding to a target grid in a target area;
the first determination module is used for determining the actual land utilization activity of the target grid according to the interest point information of the target grid;
the second determination module is used for inputting the current plot information of the target grid into the land utilization vitality prediction model to obtain the corresponding expected land utilization vitality;
and the measuring module is used for determining the land utilization vitality fitness of the target grid according to the actual land utilization vitality and the expected land utilization vitality of the target grid.
9. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the method of any of claims 1-7.
10. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a processor, implement the method of any one of claims 1 to 7.
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