KR20190140632A - Used Home Sales Platform - Google Patents

Abstract

Provided is an old house trading platform. The old house trading platform comprises: a collection module collecting information on an old house; an analysis module analyzing the possibility of new construction for each old house based on the information on the old house collected in the collection module; and a guide module providing the possibility of new construction for each old house of the analysis module.

Description

Old Home Sales Platform {Used Home Sales Platform}

The present invention relates to an aging home sales platform, and more particularly, to an aging home sales platform that provides an old house with the possibility of construction in consideration of the use approval date information of the neighboring homes.

Criteria for determining retirement housing are different for each municipality, but in general, houses that are more than 30 years old based on the approval date are considered retirement housing.

As of 2010, the proportion of homes that have been built for more than 30 years is 1.34.9 million, accounting for 9.7% of all homes, and more than 50% of all homes within the next 30 years are expected to become obsolete. In particular, the owners of a large number of old homes are homes of ordinary people who need to be remodeled or rebuilt.

On the other hand, the old house is also a new source of revenue through remodeling, reconstruction. Accordingly, there is an increasing number of people who want to buy old homes that want to make money through purchasing or remodeling old homes.

However, the current real estate environment lacks a platform that connects owners of old homes with those who want to purchase old homes.

One technical problem to be solved by the present invention is to provide a platform that allows owners and owners of old homes to share information.

Another technical problem to be solved by the present invention is to analyze the old house and provide the new construction information to the old house owner or the old house purchaser.

Another technical problem to be solved by the present invention is to provide an algorithm for analyzing the possibility of construction of old houses based on the date of use approval.

Another technical problem to be solved by the present invention is to provide an algorithm for analyzing the possibility of new construction of a particular old house in consideration of the approval date of the use of nearby buildings.

Another technical problem to be solved by the present invention is to provide additional analysis of the saleability information of the old house.

The technical problem to be solved by the present invention is not limited to the above.

In order to solve the above technical problem, the present invention provides a aging home sales platform.

According to an embodiment of the present disclosure, the old house sale platform may include: a collection module for collecting information about old house, an analysis module for analyzing the possibility of new construction for each old house based on the information about the old house collected in the collecting module; And it may include a guide module for providing a stretchability result for each old house of the analysis module.

According to an embodiment of the present disclosure, the analysis module analyzes the possibility of new construction for each old house in consideration of the core factors and auxiliary factors for each old house collected in the collection module, and the key factors include the use approval date for each house and the old house. At least one of information on the rate of change, the quantitative rate of change of old house, the rate of new house, the rate of quantitative change of the number of new house, floor area, public land price, housing policy, the status of construction of adjacent buildings, and the shape of land and the rate of change of house price. The auxiliary factor may include information on at least one of a neighboring road status, traffic convenience, population and household status, infrastructure environment, education facility proximity, surrounding environment, industrial characteristics, and a building's borrowing ratio.

According to an embodiment of the present disclosure, the analysis module obtains the neighboring building construction status information based on the usage approval date of each house belonging to a predetermined area through the collection module, and the neighboring building construction status information is the predetermined area. Considering a difference between a use approval date of a specific house among the houses belonging to and a use approval date of another house within the predetermined area, the analysis module may analyze the flexibility of the specific house based on the difference.

According to an embodiment of the present disclosure, the analysis module may analyze the stretchability by weighting the key factor rather than the auxiliary factor.

According to an embodiment of the present disclosure, the collection module collects at least one of public information for each old house and on-site surveys for each old house, and the guide module may be flexible even in the case of an old house without a sale request of the old house owner. Can provide results.

According to an embodiment of the present disclosure, the analysis module may analyze the possibility of buying and selling each old house in addition to the possibility of constructing each old house, and the guide module may provide the possibility of selling each old house.

According to an embodiment of the present disclosure, the analysis module is a factor that analyzes the likelihood of buying and selling according to the aged homes, real owners' buying intentions, power stations, housing reconstruction and redevelopment designated areas, universities and educational facilities, neighborhoods of elementary and secondary schools, and population distribution characteristics. At least one piece of information may be taken into account.

According to an embodiment of the present invention, the old house sales platform, a collection module for collecting information on the old house, the analysis of analyzing the possibility of new construction for each old house based on the information on the old house collected in the collection module Module, and a guide module for providing a stretchability result for each old house of the analysis module.

Through this, the old house sale platform may provide information about old house which is highly likely to be constructed among the old house and old house which is highly sellable among the old house.

This can provide a platform for connecting owners with buyers. In addition, it can create new aging home sales or remodeling demands because it provides flexibility and tradeability through self-analysis even without the owner's request for sale.

1 is a view for explaining the old house sales platform according to an embodiment of the present invention.
2 is a flowchart illustrating a step of deriving stretchability information of an old house according to an exemplary embodiment of the present invention.
3 is a view for explaining step S110 in detail according to an embodiment of the present invention.
4 is a view for explaining step S130 according to an embodiment of the present invention in detail.
5A is a diagram for describing in detail key factors in step S150 according to an exemplary embodiment of the present invention.
5B is a diagram for specifically describing an auxiliary factor during step S150 according to an exemplary embodiment of the present invention.
FIG. 6 is a diagram for describing stretchability information obtained in step S150 according to an embodiment of the present disclosure.
FIG. 7 is a flowchart illustrating a step of deriving stretchability information of an old house in consideration of usage approval date information of a neighboring house according to an exemplary embodiment of the present invention.
FIG. 8 is a diagram for specifically describing houses belonging to a predetermined area in step S151 according to an embodiment of the present disclosure.
9 is a view for explaining in detail the use approval date for each house in step S151 according to an embodiment of the present invention.
10 is a table for analyzing the stretchability in step S153 according to an embodiment of the present invention.
FIG. 11 is a diagram illustrating a result derived from FIG. 10.
12 is a flowchart illustrating the steps of analyzing and providing the sales possibility for each aged house according to an embodiment of the present invention.
13 is a table for explaining step S155 according to an embodiment of the present invention.
14 is a view for explaining the flexibility and the tradeability of the step S155 according to an embodiment of the present invention.
15 is a view for explaining step S157 according to an embodiment of the present invention.
16 is an example of an interface where information provided according to an embodiment of the present invention is displayed on a client terminal.
17A and 17B illustrate an example of filtering an interface provided to a client terminal.
18 is an example of an interface for checking detailed information about a specific old house provided to a client terminal.
19 is an example of an interface for setting a design style of new construction and / or remodeling of a particular old house provided to a client terminal.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the technical idea of the present invention is not limited to the exemplary embodiments described herein and may be embodied in other forms. Rather, the embodiments introduced herein are provided to ensure that the disclosed contents are thorough and complete, and that the spirit of the present invention can be sufficiently delivered to those skilled in the art.

In this specification, where a component is mentioned as being on another component, it means that it may be formed directly on the other component or a third component may be placed therebetween.

In addition, in various embodiments of the present specification, terms such as first, second, and third are used to describe various components, but these components should not be limited by these terms. These terms are only used to distinguish one component from another. Thus, what is referred to as a first component in one embodiment may be referred to as a second component in another embodiment. Each embodiment described and illustrated herein also includes its complementary embodiment. In addition, the term 'and / or' is used herein to include at least one of the components listed before and after.

In the specification, the singular encompasses the plural unless the context clearly indicates otherwise. In addition, the terms "comprise" or "having" are intended to indicate that there is a feature, number, step, element, or combination thereof described in the specification, and one or more other features or numbers, steps, configurations It should not be understood to exclude the possibility of the presence or the addition of elements or combinations thereof. In addition, the term "connection" is used herein to mean both indirectly connecting a plurality of components, and directly connecting.

In addition, in the following description of the present invention, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted.

According to an aspect of the present invention, to collect the information about the old house to analyze the flexibility of each old house, and to provide a aging home sales platform including a guide module for providing a user with the result of the elasticity of the old house. Can be.

As used herein, the term "old house" may refer to a building in which a period in which a person is actually living is over a predetermined period, for example, 30 years or more. As a criterion for judging the old building, there is a method for judging based on completion of a building, a method for judging based on a use approval date, and the like. Among them, the approval of use means that if the application for approval for use of the building is completed after completion of the construction of a building that has been authorized or reported under the Building Act, the permit holder shall undergo inspection for approval of the use of the building, and so on. Means an administrative act authorizing the use of In general, the owner may not transfer the right to use or use the building except after obtaining the approval, so the use approval date may be used as a criterion for judging the construction year of the building.

The method of analyzing the possibility of new construction by old house includes the date of approval for each house, the ratio of old house, the quantitative change rate of old house, the ratio of new house, the quantitative rate of change of new house, floor area, public land price, housing policy, construction of adjacent buildings. At least one or more of the current status, the shape of the land, the rate of change of housing prices, the status of adjacent roads, the status of population and households, the infrastructure environment, the proximity of educational facilities, industrial characteristics, and the ratio of borrowings of buildings can be collected and analyzed.

Through this, the old house sale platform may provide a platform in which the old house owner who owns the old house and the old house purchaser who wants to construct the old house and use or sell the new house can directly trade. Can be. In addition, the old home sales platform may provide the old home owners with the sales information of the old homes owned by the old home owners, and the old home buyers can provide purchase information of old homes suitable for them.

In addition, according to an aspect of the present invention, the old house sale platform is to analyze the old house within the predetermined area to analyze the old house with the possibility of construction.

In detail, the old house trading platform may obtain information on the house of the adjacent building based on the use approval date for each house belonging to the predetermined area through the collection module. Thereafter, the old house sale platform newly constructs the specific houses when the use approval date of specific houses among the houses belonging to the predetermined area is different from the use approval date of other houses within the predetermined area through the analysis module. It can be analyzed as houses with high possibility. In addition, the old house sale platform may provide the old house owner and the old house purchaser with information on the highly likely new houses through the guide module.

This can provide consumers with more accurate information about how much new construction a particular old house has.

In addition, according to an aspect of the present invention, the aging home sales platform may analyze the saleability of each old house in addition to the possibility of new construction of the old house, and may provide the buyer with the saleability of the old house.

In this way, the consumer can be more accurately provided with a certain degree of the likelihood of a particular old house. In other words, the consumer can be assisted in making a decision about buying and selling by considering comprehensively the possibility of building and buying a particular old house.

Hereinafter, exemplary embodiments of the present invention will be described with reference to FIG. 1.

1 is a view for explaining the old house sales platform according to an embodiment of the present invention.

Referring to FIG. 1, the old house sale platform 1000 according to an embodiment of the present invention may include at least one of a collection module 100, an analysis module 200, and a guide module 300. Hereinafter, each configuration will be described in detail.

The collection module 100 may collect information about a house.

For example, the collection module 100 is a housing information, the use approval date for each house, the ratio of old houses, the quantitative change rate of the old house, the ratio of new housing, the quantitative change rate of the number of new houses, volume ratio, public land prices, housing Policy, Construction of adjacent buildings, Land shape, Housing price change rate, Adjacent roads, Population and households, Infrastructure environment, Educational facilities, Proximity, Industrial borrowings, Ratio of building loans, Real owner's intention to buy and reconstruct, One or more of the redevelopment designated areas may be collected.

At this time, the collection module 100 may collect a variety of ways.

Specifically, the collection module 100 collects information as a method of collecting public information posted in the disclosure data DB (I) to be described later (S110) and through the field survey to collect the environmental information of a specific location It may include any one or more of the method (S140). In addition, aging homeowners can further collect information by directly uploading information about their aging homes.

According to an embodiment of the present disclosure, the collection module 100 may derive information on a house of a specific location by cross-validating the public information and the environmental information of the specific location. Here, the cross-validation means that when the public information published in the disclosure DB (I) does not accurately express the environmental information of the specific location, for example, the straight line distance is close to the road, but the distance for accessing the road is In the distant case, it can be corrected when the traffic jam is severe and the accessibility is poor. In addition, to confirm whether the public information published in the disclosure material DB (I) is up-to-date through the field trip, and the information that is not published in the disclosure data DB (I), but necessary for the analysis of flexibility and tradeability Of course you can secure more.

The analysis module 200 may analyze the flexibility of each old house and the possibility of buying and selling in consideration of the information on the houses collected by the collection module 100.

To this end, the analysis module 200 may classify the information on the house into information used to determine the stretchability and information used to determine the saleability.

At this time, the analysis module 200 is information used for determining the possibility of new construction, the use approval date for each house, the ratio of the old house, the quantitative change rate of the old house, the ratio of the new house, the quantitative change rate of the number of new houses, volume ratio, public announcement price Information on at least one of the following: housing policy, construction status of adjacent buildings, site shape, housing price change rate, neighboring road status, population and household status, infrastructure environment, educational facilities adjacency, industrial characteristics, and borrowing ratio of buildings. It can be collected and used.

Furthermore, the analysis module 200 may be classified into key factors highly related to stretchability and auxiliary factors with relatively low stretchability among information used to determine stretchability. That is, according to an embodiment, the analysis module 200 may analyze the stretchability of the old house by assigning a weight to the core factor rather than the auxiliary factor.

The key factors include, for example, the approval date for each house, the ratio of aged houses, the quantitative rate of change of old houses, the ratio of new houses, the quantitative rate of change of new houses, floor area, public land prices, housing policy, the status of new building construction, and site. It may include at least one or more information of the shape, the rate of change of housing prices.

The auxiliary factor may include, for example, at least one or more information of a neighboring road status, traffic convenience, population and household status, infrastructure environment, education facility proximity, surrounding environment, industrial characteristics, and building loan ratio.

At this time, the classification criteria of the key factors and auxiliary factors can be changed according to the design of those skilled in the art.

In addition, the analysis module 200 is used to determine the likelihood of buying and selling, the real owner's willingness to buy, reverse power, housing reconstruction and redevelopment designation area, university and educational facilities location, elementary and middle school location, population distribution characteristics, industrial characteristics and buildings It may include at least one or more information of the borrowing ratio.

At this time, the information used to determine the flexibility and the information used to determine the tradeability can be changed according to the design of those skilled in the art.

In addition, the analysis module 200 may transmit to the guide module 300 the stretchability information analyzing the stretchability and the sellability information analyzing the sellability.

The guide module 300 may receive the elasticity information and the tradeability information from the analysis module 200 and transmit the same to the client terminals C1, C2, C3,..., Cn: C.

In this way, the owner of the old house or the owner of the old house purchase desire, for example, the real estate new house and / or home remodeling real user provides the elasticity information and the marketability information of the old house through the client terminal I can receive it.

Hereinafter, the method of determining the stretchability will be described first with reference to FIGS. 2 to 11, and the method of determining the sellability will be described later.

2 is a flowchart illustrating a step of deriving stretchability information of an old house according to an embodiment of the present invention, FIG. 3 is a diagram for specifically describing step S110 according to an embodiment of the present invention, and FIG. FIG. 5A is a diagram for specifically describing step S130 according to an exemplary embodiment of the present invention, and FIG. 5A is a diagram for specifically describing key factors of step S150 according to an exemplary embodiment of the present invention, and FIG. 5B is an embodiment of the present invention. FIG. 6 is a view for explaining the auxiliary factor in step S150 in detail, Figure 6 is a view for explaining the stretchability information obtained in step S150 according to an embodiment of the present invention.

Referring to FIG. 2, the step of deriving the stretchability information of the old house includes building a DB through a collection module (S110), selecting a survey target (S120), classifying data in the DB into key and auxiliary factors (S130), It may include any one or more steps of field survey information collection (S140), elasticity information derivation (S150) of the survey target location building and providing the information module to the client terminal (S160).

Step S110

DB construction through the collection module (S110) is a step in which the collection module 100 collects information about the house.

Referring to FIG. 3, the collection module 100 may collect information about the house through the disclosure data DB (I). That is, the collection module 100 is the use approval date for each house, the ratio of the old house, the quantitative change rate of the old house, the ratio of the new house, the quantitative change rate of the number of new houses, the volume ratio, the public land price, housing policy, new building construction status, site Information on at least one of the shape of the house, the rate of change of housing prices, the status of neighboring roads, the status of population and households, the infrastructure environment, the proximity of educational facilities, industrial characteristics, and the ratio of borrowings of buildings.

According to an embodiment, the disclosure data DB (I) may include at least one of a real estate company DB, Statistics Korea DB, city, county, ward office DB, Korea Land and Housing Corporation DB, Ministry of Land, Infrastructure and Transport DB, and other related agencies DB. Can be.

Although not described in the drawings, the collection module 100 may additionally collect information on the house provided by the owner who owns the old house or the purchaser of the old house.

Step S120

Referring back to FIG. 2, the irradiation target position selection (S120) is a step of designating the specific position.

At this time, the survey target location may mean any location where the stretchability is determined. For example, the analysis module 200 may select a survey target location according to a predetermined algorithm, and determine the possibility of construction of an old house within the selected survey location. For another example, the survey target location may be designated at any time at the request of the client terminal C.

Step S130

The classification into the key factor and the auxiliary factor (S130) is a step in which the analysis module 200 classifies the housing related information collected by the collection module 100 into the key factor α and the auxiliary factor β.

Referring to FIG. 4, the analysis module 200 may classify the information about the house into a key factor α and an auxiliary factor β according to importance.

In detail, the analysis module 200 includes the approval date of each house among the information on the house, the ratio of the old house, the quantitative change rate of the old house, the ratio of the new house, the quantitative change rate of the number of new houses, the floor area rate, the public land price, the housing policy, Information on at least one or more of the construction status of adjacent buildings, the shape of the site, and the rate of change of house prices can be classified as a key factor (α).

In the same way, the analysis module 200, the information on the housing, the neighboring road status, traffic convenience, population and household status, infrastructure environment, education facility proximity, surrounding environment, industrial characteristics, the ratio of borrowings of buildings At least one of the information may be classified as an auxiliary factor β.

In the present invention, an example is disclosed in the core factor (α) and the auxiliary factor (β), but those skilled in the art, based on the present example, of the key factor (α) or the auxiliary factor (β) according to the experience and judgment of those skilled in the art. You can change some of them.

According to the embodiment. The analysis module 200 may separately weight information on the house corresponding to the core factor α or the auxiliary factor β.

Specifically, the analysis module 200 may assign a higher weight to the core factor α than the auxiliary factor β. For example, the analysis module 200 may assign a weight of 5 points to the use approval date information among the key factors α, and assign a weight of 1 point to the population and household status information among the auxiliary factors β. It can be given. In other words, the analysis module 200 may determine a high possibility of construction of the old house with a long use approval date.

In addition, the analysis module 200 may assign different weights to information corresponding to the core factor α, respectively. For example, the analysis module 200 may assign a weight of five points to the use approval date information among the information included in the core factor α, and the old house among the information included in the core factor α. Four points can be assigned to the information on the rate and rate of change. In other words, the analysis module 200 may give a higher weight to the use approval date and the construction status of the adjacent building.

Step S140

Referring back to FIG. 2, the field visit information collection (S140) is a step of acquiring environmental information about the survey target location by visiting the survey target location specified in step S120 and performing a site survey.

The analysis module 200 may cross-verify the information on the house provided by the collection module 100 through the field survey information collection (S140). This can increase the accuracy of the information on the house for the survey metabolism location.

According to an embodiment, the weight set in step S130 may be changed according to the result obtained in step S140. For example, if the location of the survey target is an area in which the house price rises rapidly, the point corresponding to the house price, for example, the public land price or the rate of change of the house price, may be increased. On the other hand, if the location of the survey object is adjacent to the large shopping mall, additional points may be added to factors related to the large shopping mall, for example, traffic convenience and infrastructure environment and surrounding environment.

According to one embodiment, step S140 may be an optional step. That is, after step S130 S140 may be omitted, and S150 may be performed.

Step S150

Derivation of the stretchability information of the survey target location buildings (S150) is a step in which the analysis module 200 determines the extent of the stretchability of a particular house based on the information about the house.

5A to 5B, the key factor α and the auxiliary factor β for the H1 house existing at the survey target location may be analyzed.

For example, referring to FIG. 5A, a usage approval date of the old house for the H1 house is March 06, 1960. In addition, the H1 house is 10% of the old house is around, 80% decreased. In addition, the H1 housing has a 70% new housing around, 30% increased. In addition, the volume ratio of the H1 house is 200% or less, and the published land price may have 3 million won. In addition, it can be seen that the disclosure price of the H1 house is increased by 20% compared to the previous. In addition, it can be seen that 60% of the adjacent buildings built around the H1 house were newly constructed.

In addition, referring to FIG. 5B, the H1 house may have an adjacent road within 2 meters, and it can be seen that there is a subway station within a 5-minute walk. In addition, the area where the H1 housing is located is about 1.6 million people 5,300 households, and may have a population growth rate of 4% compared to the previous. In addition, the H1 housing may be adjacent to a large mart, junior high school and high school within 1 km.

In this case, as described above, the item-specific weight may be assigned to one or more pieces of information of the core factor α and the auxiliary factor β by reflecting the field survey information examined in S140.

Accordingly, the analysis module 200 may determine how much there is a stretchability for the H1 house, as shown in FIG. 6. The analysis module 200 may analyze the stretchability information in the same manner with respect to other houses besides the H1 house.

According to an embodiment, the analysis module 200 may utilize a recurrent neural network (RNN) algorithm to analyze the elasticity information.

Step S160

Referring back to FIG. 2, the stretchability information provided to the client terminal through the guide module 300 (S160) may be configured to transmit the stretchability information analyzed through S150 to the client terminal C through the guide module 300. To provide.

Through this, the user who uses the old house trading platform 1000 may be provided with the stretchability information through the client terminal C. FIG.

The steps for deriving the stretchability information of the old house according to the embodiment of the present invention have been described above. Hereinafter, the step of deriving the stretchability information of the old house in consideration of the use approval date information of the neighboring house according to the embodiment of the present invention will be described with reference to FIGS.

FIG. 7 is a flowchart for describing a step of deriving stretchability information of an old house in consideration of usage approval date information of a neighboring house according to an embodiment of the present invention, and FIG. 8 is previously described in step S151 according to an embodiment of the present invention. 9 is a view for explaining in detail the houses belonging to a predetermined area, Figure 9 is a view for explaining in detail the use approval date for each house in step S151 according to an embodiment of the present invention, Figure 10 is according to an embodiment of the present invention It is a table for analyzing a stretchability in step S153, and FIG. 11 is a view showing the result derived from FIG.

Referring to FIG. 7, the step of deriving stretchability information of an old house in consideration of the use approval date information of the neighboring house may include obtaining a use approval date for each house belonging to a predetermined area through a collection module (S151), and using a neighboring house. Considering the approval date may include any one or more steps of the house-specific stretch determination (S153).

Step S151

Acquiring the use approval date for each house belonging to a predetermined area through the collection module (S151) is a step of obtaining the use approval date of a house belonging to a specific area through the collection module 100. Step S151 may be replaced by step S110.

In detail, the acquiring the use approval date for each house belonging to the predetermined area through the collection module (S151) may designate the area according to a predetermined criterion based on one point. The area may be referred to as a target area A.

The range of the target area A is not limited, but it is assumed in the present specification to be 250m for convenience of description.

8 to 9, a plurality of target homes H may be located in the target area A, and respective usage approval dates of the plurality of target homes H may be collected. .

For example, as shown in FIG. 9, when five target houses H exist in the target area A, the approval date for use of the target house H1 is March 06, 1960. The use date of the target house (H2) is March 06, 1960, the use date of the target house (H3) is scheduled for September 2019, and the use date of the target house (H4) is 2014 03. It is the month 16, and the use approval date of the target house H5 may have August 15, 2017.

Step S153

Referring to FIG. 7 again, the analysis module 120 may determine the possibility of new house construction by considering the use approval date of the adjacent house (S153). This may be considered to be a high possibility of construction of a particular house if the degree of retirement of a particular house is serious, but if the age of the adjacent house is low (if the degree of construction of the adjacent house is high from another point of view). In other words, it is considered that there is a high possibility that new homes are adjacent to high-margin houses.

Referring to FIG. 9 for a detailed description, one particular house Hx of a plurality of target houses H in the target area A may be connected to other target houses H in the target area A. FIG. Can be classified based on the difference in the date of approval.

The analysis module 120 may consider a difference between a use approval date of a specific house among the houses belonging to the predetermined area and a use approval date of another house within the predetermined area (ie, adjacent building construction status information).

For example, when a difference between the approval date of a specific house and a neighboring house is large, it may be determined that the possibility of new construction of the specific house is high. On the other hand, if the difference between the approval date of the specific house and the neighboring house is small, it may be determined that the possibility of new construction of the specific house is low.

The analysis module 120 may be classified into a house (D) having a low status of construction of adjacent buildings when the difference in approval date between houses is less than a predetermined standard. Can be classified as (S). In other words, a formula for classifying the use approval date difference may be expressed as in Equation 1 below.

Here, Hx is a specific house of any one of the plurality of target houses (H), and Hn means a target house except the specific house (Hx) among a plurality of target houses, and z is a difference in use approval date. Means.

For example, when the basis of the difference in use approval date (z) between houses is -30 years, the analysis module 200 uses the target houses (H) as the use approval date is less than -30 years and the use approval date is -30 years. It can be classified as a house that is over a year old. At this time, a house with a use approval date of less than -30 years can be classified as a house (D) with a low status of construction of adjacent buildings, and a house with a approval date of more than -30 years can be classified as a house (S) with a high status of construction of adjacent buildings. Can be.

In the present specification, the use approval date difference (z) is defined as -30 years, but this is only used as an example to describe the present invention, and according to the experience and judgment of those skilled in the art, the use approval date difference (z) is not much. Can be changed.

Referring to FIG. 10, the analysis module 200 uses the target houses H as low as the neighboring new construction state D or the high state as the neighboring new building state S based on Equation 1. Can be classified as).

For example, in the case of the target house (H1), compared to the target house (H2), since the use approval date difference (z) is 0, it can be classified as a house (D) having a low current state of construction of the adjacent building. Compared with the target house (H3), the target house (H4), the target house (H5), since the use approval date difference (z) is less than -30, it can be classified as a house (S) with a high current status of the adjacent building construction. .

In addition, in the case of the target house (H2), compared to the target house (H1), since the use approval date difference (z) is 0, it can be classified as a house (D) having a low status of the construction of the adjacent building, but the target house When compared with the (H3), the target house (H4), the target house (H5), since the use approval date difference (z) is -30 or less, it can be classified as a house (S) having a high state of construction of the adjacent building.

On the other hand, in the case of the target house (H3), the target house (H4), the target house (H5), even if compared with any of the target houses (H), the difference in flexibility (z) is -30 Since exceeding the building construction status of the adjacent building can be classified as low (D).

According to an embodiment, the possibility of the construction of the target housings H may be determined by substituting the information on the housings into a plurality of target housings H belonging to the housing S having a high current status of the adjacent building. . In detail, the analysis module 200 may configure an evaluation sheet based on the information on the house, and evaluate the stretchability of the target houses H through the evaluation sheet. For example, since the use approval date is the same as March 6, 1960, the target house H1 and the target house H2 belonging to the house S having a high current status of the adjacent building construction are the same as the use approval day. The difference in elasticity cannot be derived. In this case, an evaluation sheet may be constructed based on the information on the house to compare the possibility of construction of the target house H1 and the target house H2.

According to an embodiment, an additional point may be given to information corresponding to the core factor α and the auxiliary factor β. For example, 2.5 points may be added to the approval date and new building construction status among the core factors (α), and two points are included in the ratio of old-age housing (change rate), new house ratio (change rate), floor space rate, and public land price. Additional points can be given. Among the auxiliary factors β, 1.5 points may be added to the neighboring roads, traffic convenience, and education facilities, and one point may be added to the population and household status, population growth rate, and infrastructure.

In this case, S is the number of houses (S) having a high state of construction of adjacent buildings, and H is the number of target houses (H) located in the target area (A).

Although omitted in the present specification, it will be apparent to those skilled in the art that even a house (D) having a low state of construction of neighboring buildings may be evaluated by making an evaluation sheet in the same manner as a house (S) having a high state of construction of adjacent buildings. .

As a result, the analysis module 120 may determine the degree of possibility of new construction of the target houses as shown in FIG. 10.

Referring to FIG. 11, the analysis module 200 may compare the stretchability of the plurality of target houses H derived through the step S153. For example, the target house (H1) may have a 75% stretchability (G1), the target house (H2) may have a 60% stretchability (G2), and the target house (H3) may have a 0% It may have a stretchability G3, the target house H4 may have a 0% stretchability G4, and the target housing H5 may have a 0% stretchability G5. Through this, it is possible to compare the stretchability of the plurality of target houses (H) located in the target area (A).

FIG. 12 is a flowchart illustrating a step of analyzing and providing sales possibility for each aged house according to an embodiment of the present invention, FIG. 13 is a table for explaining step S155 according to an embodiment of the present invention, and FIG. 14. FIG. 15 is a view for explaining stretchability and tradeability in step S155 according to an embodiment of the present invention, and FIG. 15 is a view for explaining step S157 according to an embodiment of the present invention.

Referring to FIG. 12, the analyzing and providing the saleability of each old house may further include analyzing the saleability of each old house (S155).

Step S155

The analysis of the sales possibility for each old house (S155) may be a step in which the analysis module 200 analyzes the sales possibility for each old house. For example, the analysis module 200 may analyze the buying and selling possibility for the old house whose construction possibility is higher than the standard.

Referring to FIG. 13, the analysis module 200 may further analyze the tradeability of the plurality of target homes by further considering the tradeability factor ε.

Specifically, the marketability factor (ε) refers to a factor for deriving the marketability, the real owner's intention to buy, around the power station, housing reconstruction and redevelopment designation area, university and educational facilities, near the elementary and middle school location, population It may include at least one or more information of the distribution characteristics, industrial characteristics, borrowing ratio of buildings.

Referring to FIG. 14, the plurality of target houses H have a high possibility of being built and have a high probability of sale (Case1), a high possibility of being able to have a high possibility of having a low possibility of selling (Case2), and have a low possibility of construction. It can be categorized into a highly likely target housing (Case3) and a less likely new construction and less likely to be sold (Case4).

The target house (Case1), which has high buildability and high sellability, has a high likelihood of buying and selling as a result of analyzing through the marketability factor (ε) among the target houses that the analysis module 200 has analyzed that the buildability is high. It can mean a house that is judged.

The target house (Case2), which is highly flexible and low in sellability, is analyzed through the marketability factor (ε) among the target houses (H) that the analysis module 200 analyzes as highly likely to be built. A house that is judged to be low, for example, means a house having low intention to sell by the owner of the target house.

The target house (Case3), which is low in buildability but high in sellability, is analyzed by the marketability factor (ε) among the target houses analyzed by the analysis module 200 as having low buildability. A housing judged to be high, for example, means a housing having a high purchase intention by the owner of the target house.

The target house (Case4), which is low in buildability and low in sellability, is analyzed by the marketability factor (ε) among the target houses (H) analyzed by the analysis module 200 as having low buildability. A house that is judged to be low, for example, means a house having low intention to sell by the owner of the target house.

For convenience of explanation, it is assumed that the target house H1 of FIG. 15 is a house having high sales potential, and the target house H2 of FIG. It is assumed that it is a house.

In this case, the analysis module 200 may obtain the sellability information for each house, as illustrated in FIG. 15, in consideration of the sellability factor ε. Accordingly, the analysis module 200 may obtain both salesability information and stretchability information for each old house. In other words, the analysis module 200 analyzes the target house H1 as having a 75% marketability (M1) and a 75% stretchability (G1), and analyzes the target house (H2) as 10% of the marketability. (M2) and 60% stretchability (G2), and the target house (H3) is analyzed as having 10% tradeability (M3) and 0% stretchability (G1), and the target The housing (H4) is analyzed as having 10% marketability (M4) and 0% flexibility (G1), and the target house (H5) has 15% marketability (M5) and 0% flexibility ( It can be analyzed that there is G1).

Accordingly, the guide module 300 may provide the acquired buying and selling information for each house to the client terminal. At this time, the guide module 300 may provide the purchaseability information together with the stretchability information for each house.

Hereinafter, an example in which the elasticity information and the tradeability information of the present invention are provided through the client terminal C will be described with reference to FIGS. 16 to 19. For convenience of description, it will be described that the client terminal C is transmitted through the smart phone C3 application, but may also be applied to the desktop C1, the notebook C2, and other IT equipment. .

FIG. 16 is an example of an interface in which information provided according to an embodiment of the present invention is displayed on a client terminal, FIGS. 17A and 17B are examples of filtering an interface provided to a client terminal, and FIG. 18 is a specific old house provided to the client terminal. Is an example of an interface for confirming detailed information about a network, and FIG. 19 is an example of an interface for setting a design style of new construction and / or remodeling of a specific old house provided to a client terminal.

Referring to FIG. 16, the client terminal C may display the stretchability information and the sellability information transmitted from the old house trading platform 1000 and provide the same to the user. In this case, the client terminal C may display the stretchability information and the tradeability information on a map.

Specifically, the client terminal (C) is a house of high probability of sale (M1, M2, M3, ..., Mn: M) of the target houses located in the target area (A) and the high possibility of building (P1, P2, P3, ..., Pn: P) can be shown.

According to an example, a house that satisfies a predetermined criterion or more may be displayed on the client terminal as a house that may be stretchable according to a result of the analysis of the flexibility of the analysis module 200, and the marketability analysis of the analysis module 200 According to the result, a house that satisfies a predetermined criterion or more may be displayed on the client terminal as a house that may be sold.

Accordingly, the user can identify the individual positions of the highly probable houses M and the highly probable houses P on the map.

17A to 17B, the client terminal C may provide a filtering function to a user. Specifically, the filtering factor may include any one or more of housing environment, usage approval date, flexibility, saleability, individual house price, apartment house price, public announcement price, housing information.

Accordingly, the user can obtain information about the old house desired by the user by adjusting the filtering factor.

Referring to FIG. 18, the client terminal C may provide detailed information to an individual target house. Specifically, the detailed information may include any one or more of a photo, a real transaction price, a building year, a use, a land area, a total floor area, a building area, a floor number, a parking lot, and a loan information of the individual target house.

According to an embodiment, the user of the client terminal (C) through the client terminal (C) related to the economic analysis report or estimates including any one or more of construction design cost, loan interest rate, migration cost, remodeling construction cost, expected rent and tax You may request (V) any one or more of the prospective reports that contain additional information.

Referring to FIG. 19, the client terminal C may request a specific design style for new construction and / or remodeling of the respective target house. To this end, the client terminal may suggest a design style applicable to individual target houses. Stretch and / or remodeling information may be provided when a particular design style is selected. New and / or remodeling information may include one or more of a house type, a design concept based on a dedicated area, interior tones, architect information, duration of construction, and projected estimates.

As mentioned above, although this invention was demonstrated in detail using the preferable embodiment, the scope of the present invention is not limited to a specific embodiment, Comprising: It should be interpreted by the attached Claim. In addition, those skilled in the art should understand that many modifications and variations are possible without departing from the scope of the present invention.

100: acquisition module
200: analysis module
300: guide module
1000: Old House Sales Platform

Claims (7)

A collection module for collecting information about the old house;
An analysis module for analyzing the possibility of new construction for each old house based on the information on the old house collected by the collection module; And
A decay housing platform comprising a; guide module for providing a stretchability result for each deteriorated house of the analysis module.
According to claim 1,
The analysis module,
In consideration of the key factors and auxiliary factors for each old house collected in the collection module, the possibility of new construction for each old house is analyzed,
The key factors include the date of approval for each house, the percentage of old houses, the quantitative rate of change of old houses, the rate of new houses, the rate of quantitative change of number of new houses, floor area, public land prices, housing policy, the status of construction of adjacent buildings, and the shape of the site, At least one of the rate of change in housing prices,
The auxiliary factor may include at least one of information on neighboring roads, traffic convenience, population and household status, infrastructure environment, education facility proximity, surrounding environment, industrial characteristics, and building loan ratio.
The method of claim 2,
The analysis module, through the collection module to obtain the status information of the new construction of the adjacent building based on the use approval date for each house belonging to a predetermined area,
The state of construction of the adjacent building may include a difference between a use approval date of a specific house among the houses belonging to the predetermined area and a use approval date of another house within the predetermined area,
The analysis module, the old house sale platform for analyzing the flexibility of the specific house based on the difference.
The method of claim 2,
The analysis module, the old house trading platform for analyzing the flexibility by weighting the key factors than the auxiliary factors.
According to claim 1,
The collection module collects at least one of public information for each aging house and on-site exploration for each aging house.
The guide module is a aging home sales platform that provides a new construction result even in the case of old homes that do not have a sale request of the aging home owner.
According to claim 1,
The analysis module, in addition to the expandability analyzes the possibility of buying and selling according to the old house,
The guide module is a aging home sales platform that provides the possibility of selling for each aging home.
The method of claim 6,
The analysis module is a factor that analyzes the likelihood of buying and selling each old house,
A decentralized home sales platform that considers at least one of real owners' willingness to buy, reverse tax, housing reconstruction and redevelopment areas, university and educational facilities locations, elementary and middle school locations, population distribution characteristics, industrial characteristics, and borrowing rates for buildings.

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