Real estate valuation support program, real estate transaction support program, real estate valuation support device, real estate transaction support device, real estate valuation support method, and real estate transaction support method

Abstract

To activate real estate transactions.SOLUTION: A real estate evaluation support program makes a computer achieve: a feature data acquisition function for acquiring feature data showing a feature of a real estate whose value is evaluated; a reference feature data acquisition function for acquiring reference feature data showing a feature of a reference real estate to be a reference in the case of evaluating the value of the real estate; a matching rate data generation function for calculating a matching rate showing a degree of matching of the feature shown by the feature data with a feature shown by the reference feature data, and generating matching rate data showing the matching rate; and a real estate value data output function for generating and outputting real estate value data showing the value of the real estate by using the matching rate data.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a real estate evaluation support program, a real estate transaction support program, a real estate evaluation support device, a real estate transaction support device, a real estate evaluation support method, and a real estate transaction support method.

Background Art

[0002] Conventionally, systems for appropriately evaluating the value of real estate based on various data have been proposed (for example, see Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] On the other hand, in recent years, the demand for real estate with invariant value has been increasing, and there is a need to evaluate the value of real estate focusing on such value and activate real estate transactions. In addition, in recent years, services such as reduced-payment housing loans have been provided, so the importance of such needs has been further increased.

[0005] The present invention has been made in view of the above circumstances, and provides a real estate evaluation support program, a real estate transaction support program, a real estate evaluation support device, a real estate transaction support device, a real estate evaluation support method, and a real estate transaction support method that can activate real estate transactions.

Means for Solving the Problems

[0006] One aspect of the present invention provides a computer with a feature data acquisition function that acquires feature data indicating the characteristics of real estate to be valued, and a reference feature data indicating the characteristics of a reference real estate that is the same type of real estate as the real estate to be valued and serves as a standard when evaluating the value of the real estate. At least from the input device or storage medium A function for acquiring reference feature data to be obtained, and a matching rate indicating the degree to which the features shown by the feature data match the features shown by the reference feature data. By dividing the number of items that match the feature data and the reference feature data by the number of items in the reference feature data, A matching rate data generation function calculates and generates matching rate data indicating the matching rate, and uses the matching rate data to evaluate the value of the property, with higher matching rates indicating a higher value. Furthermore, if the matching rate exceeds a predetermined threshold, the value of the real estate is added. This real estate valuation support program enables a real estate value data output function that generates and outputs real estate value data, which is data indicating the value of the real estate according to the level of the matching rate.

[0007] Furthermore, in the real estate valuation support program described above, the characteristic data and the standard characteristic data are Real estate including at least one indicator of area, ceiling height, or floor plan Feature data showing characteristics that contribute to comfort level, and The aforementioned This could also be reference feature data that shows characteristics that contribute to comfort.

[0008] Furthermore, in the real estate valuation support program described above, the real estate includes land and fixtures on the land, and the feature data acquisition function may acquire fixture feature data indicating the characteristics of the fixtures as the feature data.

[0009] Furthermore, in the real estate valuation support program described above, the fixture is a building fixed to the land, and the feature data acquisition function may acquire feature data of the fixture that indicates at least one of the structural features, exterior features, or floor plan features of the building as the feature data.

[0010] One aspect of the present invention is a real estate transaction support program that enables a computer to implement: a sales request data receiving function that receives sales request data indicating a desire to sell the real estate; a real estate value data acquisition function that acquires the real estate value data output by any one of the real estate valuation support programs described above; and a real estate sales data output function that generates and outputs real estate sales data indicating that the real estate will be sold within a predetermined period at a price calculated using the real estate value data.

[0011] Furthermore, the real estate transaction support program described above causes the computer to execute the following functions: a purchase request data receiving function that receives purchase request data indicating a desire to purchase the real estate; a determination function that determines whether or not the purchase request data has been received by the purchase request data receiving function within a predetermined period; and, if it is determined that the purchase request data has not been received by the purchase request data receiving function within the predetermined period, a purchase data output function that generates and outputs purchase data indicating that the real estate will be purchased at a price calculated using the real estate value data.

[0012] One aspect of the present invention includes a feature data acquisition unit that acquires feature data indicating the characteristics of real estate to be valued, a reference feature data acquisition unit that acquires reference feature data indicating the characteristics of a reference real estate that is the same type of real estate as the real estate to be valued and serves as a reference when evaluating the value of the real estate, and a matching rate indicating the degree to which the characteristics indicated by the feature data and the characteristics indicated by the reference feature data match. By dividing the number of items that match the feature data and the reference feature data by the number of items in the reference feature data, A matching rate data generation unit calculates and generates matching rate data indicating the matching rate, and uses the matching rate data to evaluate the value of the real estate, with the higher the matching rate. Furthermore, if the matching rate exceeds a predetermined threshold, the value of the real estate is added. The real estate valuation support device comprises a real estate value data output unit that generates and outputs real estate value data, which is data indicating the value of the real estate according to the level of the matching rate.

[0013] One aspect of the present invention is a real estate transaction support device comprising: a sales request data receiving unit that receives sales request data indicating a desire to sell the real estate; a real estate value data acquisition unit that acquires the real estate value data output by the real estate valuation support device described above; and a real estate sales data output unit that generates and outputs real estate sales data indicating that the real estate will be sold within a predetermined period at a price calculated using the real estate value data.

[0014] One aspect of the present invention includes a feature data acquisition step of acquiring feature data indicating the characteristics of real estate to be valued, a reference feature data acquisition step of acquiring reference feature data indicating the characteristics of a reference real estate that is the same type of real estate as the real estate to be valued and serves as a standard when evaluating the value of the real estate, and a matching rate indicating the degree to which the characteristics indicated by the feature data and the characteristics indicated by the reference feature data match. By dividing the number of items that match the feature data and the reference feature data by the number of items in the reference feature data, A matching rate data generation step calculates and generates matching rate data showing the matching rate, and uses the matching rate data to evaluate the value of the real estate, with the higher the matching rate. Furthermore, if the matching rate exceeds a predetermined threshold, the value of the real estate is added. The real estate valuation support method includes a real estate value data output step, which generates and outputs real estate value data, which is data indicating the value of the real estate according to the degree of matching.

[0015] One aspect of the present invention is a real estate transaction support method that includes: a sales request data receiving step of receiving sales request data indicating a desire to sell the real estate; a real estate value data acquisition step of acquiring the real estate value data output by the real estate valuation support method described above; and a real estate sales data output step of generating and outputting real estate sales data indicating that the real estate will be sold within a predetermined period at a price calculated using the real estate value data. [Effects of the Invention]

[0016] According to the present invention, it is possible to revitalize real estate transactions. [Brief explanation of the drawing]

[0017] [Figure 1] It is a diagram showing an example of an information processing apparatus that executes a real estate evaluation support program according to an embodiment. [Figure 2] It is a flowchart showing an example of a process executed by a real estate evaluation support program according to an embodiment. [Figure 3] It is a diagram showing an example of a functional configuration of a real estate transaction support program according to an embodiment. [Figure 4] It is a flowchart showing an example of a process executed by a real estate transaction support program according to an embodiment when starting the sale of real estate. [Figure 5] It is a flowchart showing an example of a process executed by a real estate transaction support program according to an embodiment during the period when real estate is being sold and after the period has ended. [Figure 6] It is a diagram showing an example of an information processing apparatus that executes a real estate evaluation support program and a real estate transaction support program according to an embodiment.

Modes for Carrying Out the Invention

[0018] [Embodiment] Embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a diagram showing an example of a functional configuration of a real estate evaluation support program according to an embodiment. As shown in FIG. 1, the real estate evaluation support program 10 includes a feature data acquisition function 11, a reference feature data acquisition function 12, a matching rate data generation function 13, and a real estate value data output function 14.

[0019] The feature data acquisition function 11 is a function that acquires feature data indicating the characteristics of real estate to be valued. Real estate here refers to, for example, land and fixtures on said land. Alternatively, real estate here refers to fixtures on land. Fixtures here refer to, for example, buildings and exterior structures. Examples of exterior structures include gates, fences, and garages. The feature data acquisition function 11 may also acquire fixture feature data indicating the characteristics of fixtures as feature data. Fixture feature data is, for example, feature data indicating the seismic resistance rating of a building. The feature data is input using, for example, the input device 31 described later.

[0020] The standard feature data acquisition function 12 is a function that acquires standard feature data that indicates the characteristics of a standard property that serves as a standard when evaluating the value of real estate. The standard property is, for example, real estate of the same type as the real estate being evaluated and is a common type of real estate in the real estate market. The standard property may be an existing real estate or a hypothetical real estate that does not exist. The standard feature data is input, for example, using the input device 31 described later. Alternatively, the standard feature data may be stored in a storage medium installed in the device that runs the real estate evaluation support program 10 or in a storage medium provided separately from said device, and acquired by the standard feature data acquisition function 12 at an appropriate time.

[0021] The matching rate data generation function 13 calculates a matching rate that indicates the degree to which the features shown by the feature data match the features shown by the reference feature data, and generates matching rate data that shows the matching rate. The matching rate, in this context, is, for example, the value obtained by dividing the number of items that match between the property being valued and the reference property among the items checked when evaluating the value of real estate by the total number of such items. Furthermore, the matching rate, in this context, may also reflect the difference between the evaluation value of the property being valued and the evaluation value of the reference property for at least one of the items that can be quantitatively evaluated.

[0022] For example, if there are check items for each feature data, the matching rate may be the percentage of matching between the feature data and the reference feature data for each check item. Furthermore, if each check item is weighted, the matching rate may reflect the weight of the check item in addition to the percentage of matching between the feature data and the reference feature data. The higher the percentage of matching items in the checklist (for example, proportionally to the percentage of matching items), the more the value of the property may be increased. The value of the property may also be increased if the percentage of matching items exceeds a predetermined threshold. Furthermore, these conditions for increasing the value may be combined. For example, a method of increasing the value proportionally to the percentage of matching items may be combined with a method of increasing the value when the percentage of matching items exceeds a predetermined threshold.

[0023] Here, feature data refers to data that indicates features that contribute to the comfort level of a property. Similarly, baseline feature data refers to baseline data that indicates features that contribute to the comfort level of a property. Comfort level, in particular, includes universal comfort. Universal comfort level refers to the level of comfort that is perceived as universally valuable by the average user of real estate. Universal comfort level includes, for example, convenience (ease of living), dwelling comfort (cozy atmosphere), design (sophistication, simplicity, etc.), safety and security, price, size of area, ceiling height, and future adaptability of the floor plan. When universal comfort level is high, it is not only comfortable for specific users, but also comfortable for a wide range of general users.

[0024] This section explains specific examples of check items for feature data. Note that the priority levels assigned to the feature data are A > B > C, with A being the highest priority. (1) Feature data related to structure • Priority A (Value: Adaptability): The partitions around the living room can be removed / renovated. • Priority A (Value: Safety and Security): The seismic resistance rating is at or above the specified level. • Priority B (Value: Price): High cost performance due to rational structural planning. (2) Characteristic data regarding appearance • Priority B (Value: Design) Multiple windows are placed close together (adjacent) to create the appearance of a large opening. • Priority C (Value: Design) The window layout is designed to express the high level of design quality of the exterior walls. • Priority C (Value: Design) Expresses a sense of mass in the exterior wall in contrast to the windows. (3) Characteristic data regarding floor plans • Priority A (Value: Convenience / Comfort): The living room / bedroom is rectangular and has a specified area or larger. • Priority A (Value: Convenience, versatility): Provides extra space in addition to the living room. • Priority A (Value: Variability): The children's room is rectangular and can be easily divided into two or more rooms. • Priority A (Value: Convenience, Size): The bathroom / washroom has a specified area or larger. • Priority A (Value: Convenience): The entrance has an overhang with a depth greater than specified. • Priority A (Value: Convenience): The staircase is adjacent to the outer wall and has a window. • Priority A (Value: Convenience): The staircase in the living room is designed with doors and windows to provide both openness and thermal insulation. • Priority A (Value: Convenience, Variability) There is no built-in furniture in the living room. • Priority A (Value: Convenience and design) Equipped with a face-to-face kitchen. • Priority A (Value: Convenience): Features a balcony (for drying clothes) that can be accessed directly from the master bedroom or hallway. • Priority B (Value: Convenience): The toilet has a window. • Priority B (Value: Convenience, Space): The bedroom has a walk-in closet. • Priority B (Value: Convenience, Space): The entrance has a specified area or larger. • Priority B (Value: Comfort, Design) The windows in the private rooms are installed in the corners. • Priority C (Value: Comfort and Design): Each private room has only one window (no multiple windows).

[0025] The standard feature data acquisition function 12 acquires the feature data described above as a standard feature data. The matching rate data generation function 13 generates matching rate data by comparing the standard feature data with the feature data of the property to be evaluated for each of the check items described above.

[0026] The real estate value data output function 14 is a function that generates and outputs real estate value data indicating the value of real estate using matching rate data. The real estate value data is output to, for example, the output device 34 described later.

[0027] Next, an example of the processing performed by the real estate valuation support program 10 according to the embodiment will be described with reference to Figure 2. Figure 2 is a flowchart showing an example of the processing performed by the real estate valuation support program according to the embodiment.

[0028] In step S11, the feature data acquisition function 11 acquires feature data that indicates the characteristics of the real estate to be valued.

[0029] In step S12, the standard feature data acquisition function 12 acquires standard feature data that shows the characteristics of a standard real estate that will serve as the basis for evaluating the value of the real estate.

[0030] In step S13, the matching rate data generation function 13 calculates a matching rate that indicates the degree to which the features shown by the feature data match the features shown by the reference feature data, and generates matching rate data that shows the matching rate.

[0031] In step S14, the real estate value data output function 14 generates and outputs real estate value data that indicates the value of the real estate using the matching rate data.

[0032] Next, the real estate transaction support program 20 according to the embodiment will be described with reference to Figure 3. Figure 3 is a diagram showing an example of the functional configuration of the real estate transaction support program according to the embodiment. As shown in Figure 3, the real estate transaction support program 20 includes a sales request data receiving function 21, a real estate value data acquisition function 22, a real estate sales data output function 23, a purchase request data receiving function 24, a judgment function 25, and a buyback data output function 26. The sales request data receiving function 21, the real estate value data acquisition function 22, and the real estate sales data output function 23 are functions used when starting the sale of real estate. On the other hand, the purchase request data receiving function 24, the judgment function 25, and the buyback data output function 26 are functions used during the period when the real estate is on sale and after the end of that period.

[0033] The sales request data receiving function 21 is a function that receives sales request data indicating a desire to sell real estate. The sales request data receiving function 21 may also include a function to determine whether or not it has received sales request data indicating a desire to sell real estate.

[0034] The real estate value data acquisition function 22 displays the value of real estate related to the data for which the property is to be sold, and is a function that acquires real estate value data output by the real estate valuation support program 10.

[0035] The real estate sales data output function 23 is a function that generates and outputs real estate sales data indicating that a property will be sold within a predetermined period at a price calculated using real estate value data. The predetermined period here is, for example, six months.

[0036] The purchase request data receiving function 24 is a function that receives purchase request data indicating a desire to purchase real estate.

[0037] The determination function 25 is a function that determines whether or not purchase request data has been received by the purchase request data reception function within a predetermined period.

[0038] The purchase data output function 26, if it determines that no purchase request data has been received by the purchase request data reception function 24 within a predetermined period, generates and outputs purchase data indicating that the property will be purchased at a price calculated using the property value data. The purchase data is output, for example, to the output device 34 described later. The price calculated using the property value data is, for example, a price calculated by multiplying the price indicated by the property value data by a predetermined coefficient.

[0039] Next, an example of the process executed by the real estate transaction support program 20 according to the embodiment will be described with reference to Figure 4. Figure 4 is a flowchart showing an example of the process executed by the real estate transaction support program according to the embodiment when the sale of real estate is initiated.

[0040] In step S211, the sales request data receiving function 21 determines whether or not it has received sales request data indicating a desire to sell real estate. If the sales request data receiving function 21 determines that it has received sales request data indicating a desire to sell real estate (step S211: YES), it proceeds to step S212. On the other hand, if the sales request data receiving function 21 determines that it has not received sales request data indicating a desire to sell real estate (step S211: NO), it waits until it determines that it has received sales request data indicating a desire to sell real estate.

[0041] In step S212, the real estate value data acquisition function 22 acquires the real estate value data output by the real estate valuation support program.

[0042] In step S213, the real estate sales data output function 23 generates and outputs real estate sales data indicating that the property will be sold within a predetermined period at a price calculated using the real estate value data.

[0043] Next, an example of the processing performed by the real estate transaction support program 20 according to the embodiment will be described with reference to Figure 5. Figure 5 is a flowchart showing an example of the processing performed by the real estate transaction support program according to the embodiment during the period in which the property is on sale and after the end of said period.

[0044] In step S221, the purchase request data receiving function 24 determines whether a predetermined period for the sale of the property has elapsed. If the purchase request data receiving function 24 determines that a predetermined period for the sale of the property has elapsed (step S221: YES), the process proceeds to step S223. On the other hand, if the purchase request data receiving function 24 determines that a predetermined period for the sale of the property has not elapsed (step S221: NO), the process proceeds to step S222.

[0045] In step S222, the determination function 25 determines whether or not purchase request data has been received by the purchase request data receiving function. If the determination function 25 determines that purchase request data has been received by the purchase request data receiving function 24 (step S222: YES), it terminates the series of processes and proceeds to the sales brokerage procedure. On the other hand, if the determination function 25 determines that purchase request data has not been received by the purchase request data receiving function 24 (step S222: NO), it returns the process to step S221.

[0046] In step S223, the purchase data output function 26 generates and outputs purchase data indicating that the property will be purchased at a price calculated using the property value data.

[0047] Next, an information processing device that executes the real estate valuation support program and the real estate transaction support program according to the embodiment will be described with reference to Figure 6. Figure 6 is a diagram showing an example of an information processing device that executes the real estate valuation support program and the real estate transaction support program according to the embodiment. As shown in Figure 6, the information processing device 30 is, for example, a tablet, a personal computer, or a server, and comprises an input device 31, a storage device 32, an arithmetic unit 33, an output device 34, and a control device 35.

[0048] The input device 31 is, for example, a keyboard, a mouse, or a touch panel display, and is used to input the feature data and reference feature data described above. If the input device 31 is a touch panel display, a user interface used for inputting at least one of the feature data and reference feature data may be displayed on the touch panel display.

[0049] The storage device 32 may be, for example, a hard disk drive (HDD), a solid state drive (SSD), flash memory, or read-only memory (ROM). The storage device 32 stores the real estate valuation support program 10 and the real estate transaction support program 20. The storage device 32 may be built into the information processing device 30, or it may be connected to the information processing device 30 in a manner that allows it to be attached to or detached.

[0050] The arithmetic unit 33 is, for example, a hardware processor such as a CPU (Central Processing Unit). The arithmetic unit 33 reads and executes the real estate valuation support program 10 stored in the storage device 32 to realize the feature data acquisition function 11, the reference feature data acquisition function 12, the matching rate data generation function 13, and the real estate value data output function 14 described above. In addition, the arithmetic unit 33 reads and executes the real estate transaction support program 20 stored in the storage device 32 to realize the sale request data reception function 21, the real estate value data acquisition function 22, the real estate sales data output function 23, the purchase request data reception function 24, the judgment function 25, and the purchase data output function 26 described above.

[0051] The output device 34 is, for example, a display or speaker, and outputs the aforementioned real estate value data, real estate sales data, and purchase data as still images, moving images, audio, etc.

[0052] The control device 35 is, for example, a hardware processor such as a CPU. The control device 35 controls the input device 31, the storage device 32, the arithmetic unit 33, and the output device 34 as appropriate. The control device 35 may be formed as a device integrated with the arithmetic unit 33.

[0053] The real estate valuation support program 10 and the real estate transaction support program 20 according to the embodiment have been described above.

[0054] The real estate valuation support program 10 acquires feature data that shows the characteristics of the real estate to be valued, and acquires standard feature data that shows the characteristics of a standard real estate that will serve as the basis for valuing the real estate. Next, the real estate valuation support program 10 calculates a matching rate that shows the degree to which the characteristics shown by the feature data and the characteristics shown by the standard feature data match, and generates matching rate data that shows the matching rate. Then, the real estate valuation support program 10 uses the matching rate data to generate and output real estate value data that shows the value of the real estate.

[0055] This allows the Real Estate Valuation Support Program 10 to more accurately assess the value of real estate based on a benchmark property. This effect is particularly important in recent years, as there has been an increase in customers purchasing real estate using services such as reduced-payment mortgages, where a certain amount set by financial institutions is repaid in a lump sum at the time of the final payment. Such reduced-payment mortgages offer various plans for repayment in a lump sum at the time of the final payment, such as plans to sell the property to pay, plans to pay with personal funds, plans to extend the repayment period, and plans to refinance into a reverse mortgage.

[0056] Furthermore, the real estate valuation support program 10 may acquire fixture feature data, which indicates the characteristics of fixtures on the land, as feature data. This allows the real estate valuation support program 10 to more accurately assess the value of fixtures on the land.

[0057] Furthermore, the real estate valuation support program 10 may acquire feature data indicating the seismic resistance rating of buildings fixed to the land. This allows the real estate valuation support program 10 to more accurately assess the value of a building from the perspective of its seismic resistance rating.

[0058] The real estate transaction support program 20 receives sales request data indicating a desire to sell real estate. Next, the real estate transaction support program 20 acquires real estate value data output by the real estate valuation support program 10. Then, the real estate transaction support program 20 generates and outputs real estate sales data indicating that the real estate will be sold within a specified period at a price calculated using the real estate value data. In this way, the real estate transaction support program 20 can make customers aware that they are selling real estate whose value has been accurately assessed, thereby stimulating real estate transactions.

[0059] Furthermore, the real estate transaction support program 20 receives purchase request data indicating a desire to purchase real estate. If the real estate transaction support program 20 determines that no purchase request data has been received by the purchase request data reception function within a predetermined period, it generates and outputs purchase data indicating that it will purchase the real estate at a price calculated using real estate value data. In this way, even if no buyer appears for the real estate within the predetermined period, the real estate transaction support program 20 can provide a certain level of guarantee to the person who intends to sell the real estate by purchasing the property. In addition, this allows the real estate transaction support program 20 to promote the sale of real estate and revitalize real estate transactions.

[0060] Furthermore, the purchase data output function may be configured to generate and output purchase data based on the matching rate of the property being appraised. For example, the purchase data output function generates purchase data when the matching rate used when calculating the property value data for the property being appraised exceeds a predetermined threshold. In this case, the matching rate is used for both the calculation of the property value data and the generation of the purchase data.

[0061] In the above-described embodiment, the example given was that both the real estate valuation support program 10 and the real estate transaction support program 20 are read and executed by the information processing device 30, but the invention is not limited to this. That is, the information processing device that executes the real estate valuation support program 10 and the information processing device that executes the real estate transaction support program 20 may be different.

[0062] In the embodiments described above, the cases in which each function of the real estate valuation support program 10 is implemented by a hardware processor that reads and executes the real estate valuation support program 10 were explained as examples. Similarly, the cases in which each function of the real estate transaction support program 20 is implemented by a hardware processor that reads and executes the real estate transaction support program 20 were explained as examples. However, the manner in which these functions are implemented is not limited to these.

[0063] At least some of the functions of the real estate valuation support program 10 and at least some of the functions of the real estate transaction support program 20 may be implemented by hardware including circuitry such as LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), and GPU (Graphics Processing Unit).

[0064] Furthermore, at least some of the functions of the real estate valuation support program 10 and at least some of the functions of the real estate transaction support program 20 may be realized through the collaboration of software and hardware. These hardware components may be integrated into a single unit or may be separated into multiple units.

[0065] Although embodiments of the present invention have been described in detail above with reference to the drawings, the specific configuration is not limited to these embodiments, and at least one of various combinations, modifications, substitutions, and design changes can be made without departing from the spirit of the present invention. [Explanation of Symbols]

[0066] 10...Real estate valuation support program, 11...Feature data acquisition function, 12...Standard feature data acquisition function, 13...Match rate data generation function, 14...Real estate value data output function, 20...Real estate transaction support program, 21...Sell request data reception function, 22...Real estate value data acquisition function, 23...Real estate sales data output function, 24...Purchase request data reception function, 25...Determination function, 26...Purchase data output function, 30...Information processing device, 31...Input device, 32...Storage device, 33...Calculation unit, 34...Output device, 35...Control device

Claims

1. On the computer, A feature data acquisition function that obtains feature data indicating the characteristics of real estate to be valued, A function for acquiring reference feature data that obtains, at least from an input device or storage medium, reference feature data that indicates the characteristics of a reference property, which is a reference property of the same type as the property being valued, and which serves as a standard property when evaluating the value of the aforementioned property. A matching rate data generation function that generates matching rate data, which is calculated by dividing the number of items that match between the feature data and the reference feature data by the number of items in the reference feature data, and which generates matching rate data that shows the matching rate, and which indicates the degree to which the features shown by the feature data and the features shown by the reference feature data match. A real estate value data output function that uses the aforementioned matching rate data to evaluate the value of the real estate higher the higher the matching rate, and adds to the value of the real estate when the matching rate exceeds a predetermined threshold, thereby generating and outputting real estate value data that indicates the value of the real estate according to the level of the matching rate, A real estate valuation support program that makes this a reality.

2. The aforementioned feature data and the aforementioned reference feature data are feature data that indicate features contributing to the comfort level of real estate, including at least one indicator of area size, ceiling height, or floor plan, and reference feature data that indicate features contributing to the comfort level. The real estate valuation support program according to claim 1.

3. The aforementioned real estate includes land and fixtures on said land. The feature data acquisition function acquires feature data indicating the characteristics of the fixed material as the feature data. The real estate valuation support program according to claim 2.

4. The aforementioned fixture is a building fixed to the aforementioned land, The feature data acquisition function acquires at least one of the following as feature data: the structural features of the building, the exterior features, or the floor plan features. The real estate valuation support program described in claim 3.

5. On the computer, A function for receiving sales request data that receives sales request data indicating a desire to sell the aforementioned real estate, A real estate value data acquisition function that acquires the real estate value data output by the real estate valuation support program described in any one of claims 1 to 4, A real estate sales data output function that generates and outputs real estate sales data indicating that the real estate will be sold for a predetermined period at a price calculated using the real estate value data, A real estate transaction support program that makes this a reality.

6. On the computer, A purchase request data receiving function that receives purchase request data indicating a desire to purchase the aforementioned real estate, A determination function that determines whether or not the purchase request data was received by the purchase request data reception function during the predetermined period, If the purchase request data receiving function determines that no purchase request data has been received during the predetermined period, the purchase data output function generates and outputs purchase data indicating that the property will be purchased at a price calculated using the property value data. A real estate transaction support program according to claim 5, which further performs the following.

7. The aforementioned purchase data output function generates and outputs the purchase data when the matching rate for the property being evaluated exceeds a predetermined threshold. The real estate transaction support program described in claim 6.

8. A feature data acquisition unit that acquires feature data indicating the characteristics of real estate to be valued, A standard feature data acquisition unit acquires standard feature data that indicates the characteristics of a standard property, which is a standard property used when evaluating the value of the aforementioned property and is of the same type as the property whose value is being evaluated. A matching rate data generation unit calculates a matching rate, which indicates the degree to which the features shown by the feature data and the features shown by the reference feature data match, by dividing the number of items in which the feature data and the reference feature data match by the number of items in the reference feature data, and generates matching rate data indicating the matching rate. A real estate value data output unit generates and outputs real estate value data, which is data indicating the value of the real estate according to the level of the matching rate, by using the matching rate data, valuing the real estate higher the higher the matching rate, and adding to the value of the real estate when the matching rate exceeds a predetermined threshold, A real estate valuation support device equipped with the following features.

9. A sales request data receiving unit receives sales request data indicating a desire to sell the aforementioned real estate, A real estate value data acquisition unit that acquires the real estate value data output by the real estate valuation support device described in claim 8, A real estate sales data output unit generates and outputs real estate sales data indicating that the real estate will be sold for a predetermined period at a price calculated using the real estate value data, A real estate transaction support device equipped with the following features.

10. A feature data acquisition step to obtain feature data that shows the characteristics of real estate to be valued, A step to acquire standard feature data to obtain standard feature data that indicates the characteristics of a standard property which is a standard property used when evaluating the value of the aforementioned property and is of the same type as the property whose value is being evaluated, A matching rate data generation step that generates matching rate data, which is calculated by dividing the number of items that match between the feature data and the reference feature data by the number of items in the reference feature data, and generating matching rate data that shows the matching rate, A real estate value data output step involves using the aforementioned matching rate data to evaluate the value of the real estate higher the higher the matching rate, and adding to the value of the real estate when the matching rate exceeds a predetermined threshold, thereby generating and outputting real estate value data that indicates the value of the real estate according to the level of the matching rate. A method of supporting real estate valuation, including the following.

11. A step of receiving sales request data, in which sales request data is received indicating a desire to sell the aforementioned real estate, A real estate value data acquisition step of acquiring the real estate value data output by the real estate valuation support method described in claim 10, A real estate sales data output step that generates and outputs real estate sales data indicating that the real estate will be sold for a predetermined period at a price calculated using the real estate value data, A method of supporting real estate transactions, including...

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