CN113592548A - Land value evaluation method and device - Google Patents
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Abstract
The invention provides a land value evaluation method and a land value evaluation device, wherein the method comprises the following steps: determining a land price influence factor and a room price influence factor of a target parcel; forming land price correction coefficients according to land price influence factors of the corresponding land blocks when the land price influence factors take different values in historical data of the region to which the target land parcel belongs and values of the land price influence factors of the target land parcel; determining land cost according to the reference land price and the land price correction coefficient corresponding to the purpose in the region to which the target land parcel belongs; inputting the value of the room price influence factor of the target parcel to a preset room price prediction model to obtain a room price prediction value; obtaining development cost according to development data and sales data of the target parcel; and calculating the comprehensive value according to the land cost, the room price predicted value and the development cost. By implementing the method, the land cost of the target land parcel can be accurately identified, and the real value of the target land parcel in the actual application can be accurately evaluated by combining the room price predicted value, the development cost and the land cost.
Description
Technical Field
The invention relates to the technical field of land price evaluation, in particular to a land price evaluation method and device.
Background
At present, the conventional data land analysis method carries out model construction analysis based on conventional data such as land supply, surrounding building, surrounding matching and the like, so that the effect of predicting the land price is achieved, the price of the land is analyzed by executing the conventional land analysis method, when the land is used as a real estate project, the price of the land is only the initial link of the real estate project, and the value of the land used as the real estate project cannot be reflected only by predicting the land price.
Disclosure of Invention
Therefore, the present invention is directed to provide a method and an apparatus for evaluating land price, which overcome the defect that the land price prediction method in the prior art cannot reflect the value of land used as real estate project.
The invention provides a land value evaluation method in a first aspect, which comprises the following steps: determining a land price influence factor and a room price influence factor of a target parcel; forming land price correction coefficients according to land price influence factors of the corresponding land blocks when the land price influence factors take different values in historical data of the region to which the target land parcel belongs and values of the land price influence factors of the target land parcel; determining the area to which the target land parcel belongs and the purpose of the target land parcel, and determining the land cost of the target land parcel according to the reference land price and the land price correction coefficient corresponding to the purpose in the area to which the target land parcel belongs; inputting the value of the room price influence factor of the target land parcel into a preset room price prediction model to obtain a room price prediction value of the target land parcel; obtaining the development cost of the target land parcel according to the development data and the sales data of the target land parcel; and calculating the comprehensive value of the target land parcel according to the land cost, the room price predicted value and the development cost.
Optionally, in the land value evaluation provided by the present invention, determining a parcel price impact factor for the target parcel comprises: acquiring historical data of an area to which a target parcel belongs, wherein the historical data comprises parcel prices of different parcels in the area to which the target parcel belongs in different periods, facility service data and track data of each parcel in different periods, the facility service data comprises a plurality of facility factors and values of each facility factor, and the track data comprises a plurality of population space flow factors and values of each population space flow factor; respectively carrying out correlation analysis on land prices of different land blocks in different periods and each facility factor in the facility service data and each human mouth space flow factor in the trajectory data, and calculating correlation coefficients of the land prices and each facility factor and each human mouth space flow factor; and determining the facility factors and the population space flow factors of which the correlation coefficients with the plot price meet the preset conditions as the plot price influence factors.
Optionally, in the land value evaluation provided by the present invention, determining a rate impact factor for the target parcel comprises: acquiring historical data of an area to which a target parcel belongs, wherein the historical data comprises the house prices of different houses in the area to which the target parcel belongs, attribute information of each house and facility service data, the facility service data comprises a plurality of facility factors and values of each facility factor, and the attribute information comprises the plurality of attribute factors and the values of each attribute factor; respectively carrying out correlation analysis on the house prices of different houses and each facility factor in the facility service data and the attribute factor in the attribute information, and calculating correlation coefficients of the house prices and each facility factor and each attribute factor; and determining the facility factors and the attribute factors of which the correlation coefficients with the house price meet the preset conditions as the house price influence factors.
Optionally, in the land value assessment provided by the present invention, the land cost of the target land parcel is determined by the following formula: v is S x V0×(1±∑Ki)×KjWherein S represents the area of the target parcel, V0 represents the reference parcel price corresponding to the application in the area of the target parcel, Ki represents the parcel price correction coefficient formed according to the price influence factor of the ith parcel, and Kj represents other correction coefficients.
Optionally, in the land value evaluation provided by the present invention, calculating the comprehensive value of the target land parcel according to the land cost, the room price predicted value and the development cost includes: the composite value is (room price prediction value-land cost-development cost)/(land cost + development cost).
A second aspect of the present invention provides a land value evaluation device, including: the correlation analysis module is used for determining the land parcel price influence factor and the room price influence factor of the target parcel; the land price correction coefficient calculation module is used for forming a land price correction coefficient according to the land price of each corresponding land when the land price influence factors take different values in the historical data of the region to which the target land parcel belongs and the value of the land price influence factor of the target land parcel; the land cost calculation module is used for determining the region to which the target land parcel belongs and the purpose of the target land parcel, and determining the land cost of the target land parcel according to the reference land price and the land price correction coefficient corresponding to the purpose in the region to which the target land parcel belongs; the system comprises a housing price prediction module, a storage module and a display module, wherein the housing price prediction module is used for inputting the value of a housing price influence factor of a target parcel into a preset housing price prediction model to obtain a housing price prediction value of the target parcel; the development cost calculation module is used for obtaining the development cost of the target land parcel according to the development data and the sales data of the target land parcel; and the comprehensive value evaluation module is used for calculating the comprehensive value of the target land parcel according to the land cost, the room price predicted value and the development cost.
Optionally, in the land value evaluation apparatus provided by the present invention, the correlation analysis module includes: the first data acquisition submodule is used for acquiring historical data of an area to which a target parcel belongs, wherein the historical data comprises parcel prices of different parcels in the area to which the target parcel belongs in different periods, facility service data and track data of each parcel in different periods, the facility service data comprises a plurality of facility factors and values of each facility factor, and the track data comprises a plurality of population space flow factors and values of each population space flow factor; the first correlation coefficient calculation submodule is used for respectively carrying out correlation analysis on the land prices of different land blocks in different periods and each facility factor in the facility service data and each human mouth space flow factor in the trajectory data, and calculating correlation coefficients of the land prices and each facility factor and each human mouth space flow factor; and the plot price influence factor determining module is used for determining the facility factor and the population space flow factor of which the correlation coefficient with the plot price meets the preset condition as the plot price influence factor.
Optionally, in the land value evaluation apparatus provided by the present invention, the correlation analysis module includes: the second data acquisition submodule is used for acquiring historical data of the area to which the target parcel belongs, wherein the historical data comprises the house prices of different houses in the area to which the target parcel belongs, the attribute information of each house and facility service data, the facility service data comprises various facility factors and the values of the facility factors, and the attribute information comprises the various attribute factors and the values of the attribute factors; the second correlation coefficient calculation submodule is used for respectively carrying out correlation analysis on the house prices of different houses and each facility factor in the facility service data and the attribute factor in the attribute information, and calculating the correlation coefficient between the house prices and each facility factor and each attribute factor; and the house price influence factor determining submodule is used for determining the facility factor and the attribute factor of which the correlation coefficient with the house price meets the preset condition as the house price influence factor.
A third aspect of the present invention provides a computer apparatus comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to perform the land value assessment method as provided in the first aspect of the invention.
A fourth aspect of the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the land value estimation method as provided in the first aspect of the present invention.
The technical scheme of the invention has the following advantages:
the land value evaluation method and the land value evaluation device provided by the invention can accurately identify the land cost of the target land parcel in combination with the land price predicted value, the development cost and the room price predicted value of the target land parcel.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings 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 invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flowchart showing a concrete example of a land value estimation method in the embodiment of the present invention;
FIG. 2 is a schematic block diagram showing a concrete example of a land value evaluation apparatus in the embodiment of the invention;
fig. 3 is a schematic block diagram of a specific example of a computer device in the embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. 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 invention.
In the description of the present invention, it should be noted that the technical features related to the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.
A first aspect of the embodiments of the present invention provides a land value evaluation method, as shown in fig. 1, including:
step S10: and determining the land parcel price influence factor and the room price influence factor of the target parcel. The land price influence factor refers to a factor with high degree of correlation with land price, and the house price influence factor refers to a factor with high degree of correlation with house price.
Step S20: and forming a land price correction coefficient according to the land price of each land corresponding to the land price influencing factor when the land price influencing factor takes different values in the historical data of the region to which the target land parcel belongs and the value of the land price influencing factor of the target land parcel.
In an optional embodiment, in different areas, the land with different purposes has corresponding reference land prices, but since the reference land price is the average price in the area and different land parcels have uniqueness, the average price cannot reflect the real land parcel price, therefore, in order to obtain more accurate land parcel price of the target land parcel, a land price correction coefficient is formed by the value of the land parcel price influence factor of the target land parcel for correcting the reference land price.
In an optional embodiment, when the land price correction coefficient is formed according to the land price influence factor, a correlation function between the land price influence factor and the land price is constructed according to the land prices of the corresponding land blocks when the land price influence factor in the historical data takes different values, and then the value of the land price influence factor of the target land parcel is input into the correlation function to obtain the correction coefficient corresponding to the land price influence factor.
Step S30: determining the area to which the target land parcel belongs and the purpose of the target land parcel, and determining the land cost of the target land parcel according to the reference land price corresponding to the purpose of the target land parcel in the area to which the target land parcel belongs and the land price correction coefficient.
In an optional embodiment, when the reference land price is corrected, besides the land price correction coefficients corresponding to the land price influence factors are constructed according to the land price influence factors, other correction coefficients are also constructed together according to the evaluation date, the volume rate, the land use life and the like, and the reference land price is corrected together by using the land price correction coefficients corresponding to the land price influence factors and the other correction coefficients.
In an optional embodiment, when calculating the land cost, after correcting the reference land price according to the land price correction coefficient and other correction coefficients, multiplying the corrected reference land price by the area of the target land parcel to obtain the land cost of the target land parcel:
V＝S×V0×(1±∑Ki)×Kj，
wherein S represents the area of the target land parcel, V0K represents a reference land price corresponding to the use of the target land parcel in the area to which the target land parcel belongsiIs expressed according to the ithLand price correction factor formed by land price influence factor, KjOther correction coefficients are indicated.
Step S40: and inputting the value of the room price influence factor of the target land parcel into a preset room price prediction model to obtain a predicted value of the room price of the target land parcel.
In an optional embodiment, when calculating the predicted value of the house price of the target parcel, the preset house price prediction model used may be a decision tree regression analysis model, and when the maximum depth of the decision tree is 7, the model result is optimal, and the accuracy of predicting the house price through the decision tree regression analysis model is about 90%.
In an alternative embodiment, when the multiple linear regression model is used to preset the room price prediction model, the general form is:
y＝β0+β1x1+…+βpxp+∈
y is a dependent variable, X is an independent variable, and the above formula has p independent variables and a constant term
If the independent variable is normalized, the expected value of Y is functionally related to the independent variable as follows (multiple ensemble linear regression equation)
E(y)＝β0+β1x1+…+βpxp
Step S50: and obtaining the development cost of the target land parcel according to the development data and the sales data of the target land parcel.
In an optional embodiment, a cost model can be established according to development data and sales data of existing real estate projects and corresponding costs of each development process, and then the development data and the sales data of the target parcel are input into the cost model to obtain the development cost of the target parcel.
In an alternative embodiment, the plot development process includes civil engineering, construction and security, sales, etc., and when the existing property project is analyzed, the civil engineering, the construction security and the sales can be divided into a plurality of grades according to different civil engineering scales, construction security scales and sales strategies in the existing house project, and according to the development data and the sales data of the existing house project, and corresponding development cost, obtaining the development cost respectively corresponding to civil engineering, construction security and sales of different grades, when the development cost of the target land parcel is calculated, the civil engineering scale and the safety building rule in the development data of the target land parcel are corresponded to the corresponding civil engineering grade and safety building grade, the sales strategy in the sales data of the target land parcel is corresponded to the corresponding sales grade, and calculating the development cost of the target land parcel according to the civil engineering grade, the construction safety grade and the sales grade corresponding to the development data and the sales data.
Step S60: and calculating the comprehensive value of the target land parcel according to the land cost, the room price predicted value and the development cost.
In an alternative embodiment, the combined value of the target land parcel is (price forecast-land cost-development cost)/(land cost + development cost).
According to the land value evaluation method provided by the embodiment of the invention, after the land block price influence factor and the room price influence factor of the target land parcel are determined, the land cost of the target land parcel is determined according to the value of the land block price influence factor of the target land parcel, the room price predicted value of the target land parcel is calculated according to the value of the room price influence factor of the target land parcel, the development cost of the target land parcel is calculated according to the development data, namely the sales data of the target land parcel, and the comprehensive value of the target land parcel is finally calculated according to the land cost, the development cost and the room price predicted value of the target land parcel.
In an alternative embodiment, in the step S10, the step of determining the parcel price impact factor of the target parcel comprises:
the method comprises the steps of firstly, obtaining historical data of an area to which a target parcel belongs, wherein the historical data comprises parcel prices of different parcels in the area to which the target parcel belongs in different periods, facility service data and track data of each parcel in different periods, the facility service data comprises various facility factors and values of each facility factor, and the track data comprises various population space flowing factors and values of each population space flowing factor.
Due to the fact that the difference of the land parcels in different areas is large, the land parcel price reference value in other areas is small, and the land parcel price influence factor of the target land parcel can be determined quickly and accurately through historical data of the area to which the target land parcel belongs.
In an alternative embodiment, the facility factors in the facility service data are as shown in Table 1 below:
TABLE 1
The value of each facility factor included in the facility service data may be the number of each facility in the vicinity of each parcel, or may be the distance between each facility and each parcel.
In an alternative embodiment, the population space flow factors in the trajectory data are as shown in table 2 below:
TABLE 2
The values of the population space flow factors comprise the values of the use information corresponding to the population space flow factors.
After the historical data are obtained, the land prices of different land parcels in different periods are respectively subjected to correlation analysis with each facility factor in the facility service data and each human mouth space flow factor in the trajectory data, and the correlation coefficient of the land prices with each facility factor and each human mouth space flow factor is calculated:
wherein i represents the ith sample, n represents the number of observed values, XiIndicating the i-th block price data, YiThe value of the ith factor is shown.
And finally, determining the facility factors and population space flow factors of which the correlation coefficients with the plot price meet the preset conditions as the plot price influence factors.
In an alternative embodiment, the correlation between each factor and the parcel price can be divided into the following three categories according to the correlation coefficient:
low degree of correlation 0< ═ r | < 0.3;
moderate correlation 0.3< ═ r | < 0.8;
highly correlated 0.8 [ | [ ] [ -1 ];
in an alternative embodiment, a factor highly correlated with the parcel price may be determined as the parcel price impact factor, that is, when the absolute value of the correlation coefficient of the calculated facility factor or the population space flow factor with the parcel price is greater than or equal to 0.8, the factor is determined as the parcel price impact factor.
In an alternative embodiment, the parcel price impact factor comprises:
general factors are as follows: population, land policy, land supply, etc.;
regional factors: plot location, surrounding infrastructure conditions, planning constraints, environmental quality, etc.;
the factors of the land are as follows: area, shape, development degree, land use condition, planning condition, etc.
In an alternative embodiment, in the step S10, the step of determining the room rate influence factor of the target parcel comprises:
firstly, historical data of an area to which a target parcel belongs is acquired, wherein the historical data comprises the house prices of different houses in the area to which the target parcel belongs, attribute information of each house and facility service data, the facility service data comprises a plurality of facility factors and values of the facility factors, and the attribute information comprises a plurality of attribute factors and values of the attribute factors. For the selection of the historical data and the related content of the facility service data, the description in the above embodiments is omitted here for brevity.
In an alternative embodiment, the attribute information of each property is shown in table 3 below:
TABLE 3
The value of the attribute factor in the attribute information of the property comprises the value of the use information corresponding to each attribute factor.
After the historical data are obtained, the house prices of different houses are respectively subjected to correlation analysis with each facility factor in the facility service data and the attribute factor in the attribute information, and correlation coefficients of the house prices with each facility factor and each attribute factor are calculated.
And finally, determining the facility factors and the attribute factors of which the correlation coefficients with the house property price meet the preset conditions as the house property influence factors. The related contents of the calculation of the correlation coefficient and the preset condition are described in the above embodiments, and are not described herein again.
In an optional embodiment, after the historical data of the area to which the target parcel belongs and the related data of the target parcel are acquired, because the data sources are many and the data types are complicated, each data needs to be cleaned, so that the data quality and reliability are ensured. The data is cleaned by the following parts:
1) data integrity: for missing data, completing through front-back comparison or other data comparison;
2) data uniqueness: removing repeated records and only keeping one effective record;
3) data authority: using authoritative channel source data;
4) data validity: and carrying out legal rule verification on each type of data, and removing abnormal values.
And the value of the target parcel is comprehensively evaluated based on the cleaned data, and the obtained evaluation result is more accurate.
An embodiment of the present invention further provides a land value evaluation device, as shown in fig. 2, including:
the correlation analysis module 10 is configured to determine a parcel price influence factor and a room price influence factor of the target parcel, for details, refer to the description of step S10 in the foregoing embodiment, and are not described herein again.
The land price correction coefficient calculation module 20 is configured to form a land price correction coefficient according to the land price of each land corresponding to the land price influencing factor when the land price influencing factor in the historical data of the area to which the target land parcel belongs takes different values, and the value of the land price influencing factor of the target land parcel, for details, refer to the description of step S20 in the foregoing embodiment, which is not described herein again.
The land cost calculating module 30 is configured to determine an area to which the target land parcel belongs and a purpose of the target land parcel, and determine the land cost of the target land parcel according to the reference land price and the land price correction coefficient corresponding to the purpose in the area to which the target land parcel belongs, for details, refer to the description of step S30 in the foregoing embodiment, and details are not repeated here.
The room price predicting module 40 is configured to input the value of the room price influence factor of the target parcel to the preset room price predicting model to obtain a room price predicted value of the target parcel, for details, refer to the description of step S40 in the foregoing embodiment, and details are not described here again.
The development cost calculation module 50 is configured to obtain the development cost of the target parcel according to the development data and the sales data of the target parcel, and the details refer to the description of step S50 in the foregoing embodiment, which are not described herein again.
The comprehensive value evaluation module 60 is configured to calculate a comprehensive value of the target land parcel according to the land cost, the room price prediction value, and the development cost, for details, refer to the description of step S60 in the foregoing embodiment, and details are not repeated herein.
The land value evaluation device provided by the invention can accurately identify the land cost of the target land parcel by combining the land price predicted value, the development cost and the land cost forecast value of the target land parcel in actual application.
In an alternative embodiment, the correlation analysis module 10 includes:
the first data acquisition submodule is configured to acquire historical data of an area to which a target parcel belongs, where the historical data includes parcel prices of different parcels in the area to which the target parcel belongs at different times, facility service data and trajectory data of each parcel at different times, where the facility service data includes multiple facility factors and values of the facility factors, and the trajectory data includes multiple population space flow factors and values of the population space flow factors, and details of the details are described in the above embodiment and are not described herein again.
The first correlation coefficient calculation sub-module is configured to perform correlation analysis on the land prices of different land blocks in different periods, and each facility factor in the facility service data and each human mouth space flow factor in the trajectory data, and calculate a correlation coefficient between the land price and each facility factor and each human mouth space flow factor, for details, see the description in the foregoing embodiments, and are not described herein again.
And the parcel price influence factor determining module is configured to determine, as the parcel price influence factor, a facility factor and a population space flow factor, for which a correlation coefficient with the parcel price meets a preset condition, for details, refer to the description in the foregoing embodiment, and details are not described herein again.
In an alternative embodiment, the correlation analysis module 10 includes:
the second data obtaining sub-module is configured to obtain historical data of an area to which the target parcel belongs, where the historical data includes house prices of different houses in the area to which the target parcel belongs, attribute information of each house, and facility service data, the facility service data includes multiple facility factors and values of each facility factor, the attribute information includes multiple attribute factors and values of each attribute factor, and details are described in the above embodiments and are not described herein again.
And a second correlation coefficient calculation sub-module, configured to perform correlation analysis on the property prices of different properties and each facility factor in the facility service data and each attribute factor in the attribute information, and calculate correlation coefficients of the property prices and each facility factor and each attribute factor, where details are described in the foregoing embodiments and are not described herein again.
And the room price influence factor determining submodule is used for determining the facility factor and the attribute factor of which the correlation coefficient with the room price meets the preset condition as the room price influence factor, and the detailed contents refer to the description in the above embodiment and are not repeated herein.
An embodiment of the present invention provides a computer device, as shown in fig. 3, the computer device mainly includes one or more processors 71 and a memory 72, and one processor 71 is taken as an example in fig. 3.
The computer device may further include: an input device 73 and an output device 74.
The processor 71, the memory 72, the input device 73 and the output device 74 may be connected by a bus or other means, as exemplified by the bus connection in fig. 3.
The processor 71 may be a Central Processing Unit (CPU). The Processor 71 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or combinations thereof. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The memory 72 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the stored data area may store data created from use of the land value estimation device, and the like. Further, the memory 72 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 72 may optionally include a memory remotely located from the processor 71, and these remote memories may be connected to the land value assessment device via a network. The input device 73 may receive a calculation request (or other numerical or character information) input by a user and generate a key signal input related to the land value estimation device. The output device 74 may include a display device such as a display screen for outputting the calculation result.
Embodiments of the present invention provide a computer-readable storage medium storing computer instructions, the computer-readable storage medium storing computer-executable instructions, the computer-executable instructions being capable of performing the land value assessment method in any of the above method embodiments. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.
Claims (10)
1. A land value evaluation method is characterized by comprising the following steps:
determining a land price influence factor and a room price influence factor of a target parcel;
forming land price correction coefficients according to land price of each land corresponding to the land price influencing factors when the land price influencing factors take different values in the historical data of the area to which the target land parcel belongs and the values of the land price influencing factors of the target land parcel;
determining the region to which the target land parcel belongs and the purpose of the target land parcel, and determining the land cost of the target land parcel according to the reference land price corresponding to the purpose in the region to which the target land parcel belongs and the land price correction coefficient;
inputting the value of the room price influence factor of the target land parcel into a preset room price prediction model to obtain a room price prediction value of the target land parcel;
obtaining the development cost of the target land parcel according to the development data and the sales data of the target land parcel;
and calculating the comprehensive value of the target land parcel according to the land cost, the room price predicted value and the development cost.
2. The land value assessment method of claim 1, wherein determining a parcel price impact factor for a target parcel comprises:
acquiring historical data of the area to which the target parcel belongs, wherein the historical data comprises parcel prices of different parcels in the area to which the target parcel belongs in different periods, facility service data and track data of each parcel in different periods, the facility service data comprises a plurality of facility factors and values of each facility factor, and the track data comprises a plurality of population space flowing factors and values of each population space flowing factor;
respectively carrying out correlation analysis on the land prices of different land parcels in different periods and each facility factor in the facility service data and each human mouth space flow factor in the trajectory data, and calculating correlation coefficients of the land prices and each facility factor and each human mouth space flow factor;
and determining facility factors and population space flow factors of which the correlation coefficients with the plot price meet preset conditions as the plot price influence factors.
3. The land value assessment method of claim 1, wherein determining a rate impact factor for a target land parcel comprises:
acquiring historical data of the area to which the target parcel belongs, wherein the historical data comprises the house prices of different houses in the area to which the target parcel belongs, attribute information of each house and facility service data, the facility service data comprises a plurality of facility factors and values of each facility factor, and the attribute information comprises a plurality of attribute factors and values of each attribute factor;
respectively carrying out correlation analysis on the house prices of different houses and each facility factor in the facility service data and the attribute factor in the attribute information, and calculating correlation coefficients of the house prices, each facility factor and each attribute factor;
and determining the facility factors and the attribute factors of which the correlation coefficients with the property prices meet the preset conditions as the property price influence factors.
4. The land value assessment method according to claim 1, wherein the land cost of the target land parcel is determined by the formula:
V＝S×V0×(1±∑Ki)×Kj，
wherein S represents the area of the target land parcel, V0Represents a reference land price, K, corresponding to the usage in the area to which the target land parcel belongsiRepresenting a land price correction factor, K, formed from the i-th land price influencing factorjOther correction coefficients are indicated.
5. The land value assessment method according to claim 1, wherein calculating a composite value of said target land parcel based on said land cost, said room price predictive value, and said development cost comprises:
the composite value is (room price prediction value-land cost-development cost)/(land cost + development cost).
6. A land value evaluation device, comprising:
the correlation analysis module is used for determining the land parcel price influence factor and the room price influence factor of the target parcel;
the land price correction coefficient calculation module is used for forming a land price correction coefficient according to the land price of each corresponding land when the land price influence factors take different values in the historical data of the region to which the target land parcel belongs and the value of the land price influence factor of the target land parcel;
the land cost calculation module is used for determining the region to which the target land parcel belongs and the purpose of the target land parcel, and determining the land cost of the target land parcel according to the reference land price corresponding to the purpose in the region to which the target land parcel belongs and the land price correction coefficient;
the room price prediction module is used for inputting the value of the room price influence factor of the target land parcel into a preset room price prediction model to obtain a room price prediction value of the target land parcel;
the development cost calculation module is used for obtaining the development cost of the target land parcel according to the development data and the sales data of the target land parcel;
and the comprehensive value evaluation module is used for calculating the comprehensive value of the target land parcel according to the land cost, the room price predicted value and the development cost.
7. The land value evaluation device according to claim 6, wherein the correlation analysis module includes:
the first data acquisition submodule is used for acquiring historical data of the region to which the target parcel belongs, the historical data comprises parcel prices of different parcels in the region to which the target parcel belongs in different periods, facility service data and track data of each parcel in different periods, the facility service data comprises a plurality of facility factors and values of each facility factor, and the track data comprises a plurality of population space flowing factors and values of each population space flowing factor;
the first correlation coefficient calculation submodule is used for respectively carrying out correlation analysis on the land prices of different land blocks in different periods and each facility factor in the facility service data and each human mouth space flow factor in the trajectory data, and calculating correlation coefficients of the land prices and each facility factor and each human mouth space flow factor;
and the plot price influence factor determining module is used for determining facility factors and population space flow factors of which the correlation coefficients with the plot price meet preset conditions as the plot price influence factors.
8. The land value evaluation device according to claim 6, wherein the correlation analysis module includes:
a second data obtaining submodule, configured to obtain historical data of an area to which the target parcel belongs, where the historical data includes house prices of different houses in the area to which the target parcel belongs, attribute information of each house, and facility service data, where the facility service data includes multiple facility factors and values of each facility factor, and the attribute information includes multiple attribute factors and values of each attribute factor;
the second correlation coefficient calculation submodule is used for respectively carrying out correlation analysis on the house prices of different houses and each facility factor in the facility service data and the attribute factor in the attribute information, and calculating the correlation coefficient between the house prices and each facility factor and each attribute factor;
and the house price influence factor determining submodule is used for determining the facility factor and the attribute factor of which the correlation coefficient with the house price meets the preset condition as the house price influence factor.
9. A computer device, comprising:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to perform the land value assessment method of any one of claims 1 to 5.
10. A computer-readable storage medium storing computer instructions for causing a computer to execute the land value estimation method according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110872061.7A CN113592548A (en) | 2021-07-30 | 2021-07-30 | Land value evaluation method and device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110872061.7A CN113592548A (en) | 2021-07-30 | 2021-07-30 | Land value evaluation method and device |
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| CN113592548A true CN113592548A (en) | 2021-11-02 |
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