JP2019053357A - System, method and computer program for proposing real estate utilization - Google Patents

Abstract

To promote utilization of real estate, by proposing the real estate suitable for the utilization by a prescribed type of business, or proposing a type of business suitable for the utilization of prescribed real estate.SOLUTION: A system 1 for proposing real estate utilization has: a purchase desiring information storage unit 2B which stores purchase desiring information of real estate; and a sale desiring information storage unit 2C which stores sale desiring information of the real estate. When designation of an area and a type of business is received from a user, an assessed value calculation unit 23 calculates assessed value of the real estate in a designated area on the basis of the purchase desiring information and the sale desiring information in the designated area, and further, a predicted income calculation unit 11 calculates predicted income of the designated type of business in the designated area. A propriety determination unit 15 determines whether opening of a store of the designated type of business in the designated area is appropriate, on the basis of the predicted income and the assessed value. The determination result on propriety of the opening of the shop is provided to the user, together with the purchase desiring information and/or the sale desiring information of the real estate which is present in the designated area.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a technology for providing real estate information useful for opening a store for each type of industry or proposing a type of industry suitable for use of real estate.

  Recently, in the construction industry, sales of detached houses and residential land such as various subsidies and mortgage interest rates that have recorded record lows, despite negative factors such as a consumption tax hike and rising material costs due to the weak yen. Is still being boosted.

  In response to this request, there was a request to use real estate, but it was difficult to figure out how to use it properly. The reasons for this vary widely, such as the fact that it is not easy to grasp the real estate and the area where the real estate exists, and that there are many uncertainties in the evaluation of the sale price of real estate.

  In this regard, Patent Documents 1 and 2 propose a system for evaluating real estate based on an objective index.

Japanese Patent Laid-Open No. 2000-22481 JP 2003-233661 A

  However, the system described in the above-mentioned patent document is only for evaluating real estate based on static information such as the published price, and how it can be used to make profits when actually using real estate. However, it was not possible to obtain an assessment based on the use of the risk.

  Therefore, an object of the present invention is to promote the use of real estate by proposing a real estate suitable for use by a predetermined business type or by proposing a business type suitable for using a predetermined real estate.

  In order to achieve the above object, a real estate utilization proposal system according to one aspect of the present invention is a system that determines whether or not to open a store for each type of business in a predetermined area and proposes utilization of real estate in the predetermined area. Purchase request information storage means storing real estate purchase request information, sale request information storage means storing real estate sale request information, search condition reception means for receiving designation of area and industry, and the above in the designated area Based on the purchase request information and the sale request information, an appraisal value calculation means for calculating an appraisal value of the real estate in the designated area, an expected profit calculation means for calculating an expected profit of the designated industry in the designated area, and the expected profit Based on the appraisal value, along with the appropriateness determination means for determining the appropriateness of the store opening of the specified industry in the specified area, and the determination result of the appropriateness of the store opening, Serial and property information providing means for providing desired purchase information and / or sale request information of real estate existing in the designated area, and having a.

  Further, the above-mentioned forecasted revenue is further provided with area information storage means for storing information that is the basis for calculation of earnings forecast for each area, and industry information storage means for storing information that is the basis for calculation of earnings forecast for each industry. The calculation means may calculate the expected profit of the designated industry in the designated area with reference to the area information storage means and the industry information storage means.

  In addition, a real store information storage unit that stores information related to the type of business and location of the real store, a reference to the real store information storage unit, a real store number counting unit that totals the number of real stores in the designated area, An appropriate store number calculating means for calculating the appropriate number of store openings in the specified area based on the expected revenue of the specified industry in the specified area, and the suitability determining means further includes the number of actual stores in the specified area. And the number of appropriate store openings in the designated area may be compared.

  Further, the store opening guideline storing means for storing the store opening guideline and the suitability determining means may further determine the suitability of the opening of the designated industry in the designated area based on the store opening guideline.

  Further, the real estate utilization proposal method according to another aspect of the present invention is a method for determining whether or not to open a store for each type of business in a predetermined area and proposing the utilization of the real estate in the predetermined area. Processing for accepting designation of area and type of business by a system having purchase desire information storage means storing desired information and sale desire information storage means storing real estate sale request information, Based on the sale request information, calculate the real estate appraisal value in the designated area, calculate the expected revenue of the specified industry in the designated area, and calculate the expected income and the appraisal value in the designated area. Along with the process of determining whether or not to open a store in a designated industry, the result of determining whether or not to open a store, information on the purchase of real estate in the specified area, and Or a process of providing the sale request information, characterized in that the run.

  A computer program according to another aspect of the present invention is a computer program for determining whether or not to open a store for each type of business in a predetermined area and proposing use of real estate in the predetermined area. Processing for receiving designation of area and type of business for a system having purchase desire information storage means storing purchase desire information and sale desire information storage means storing real estate sale request information, and the purchase in the specified area Based on the desired information and the desired sale information, the process for calculating the assessed value of the real estate in the designated area, the process for calculating the expected revenue of the designated industry in the designated area, the process based on the expected revenue and the assessed value, In the specified area, along with the process of determining whether or not to open a store in the specified industry in the specified area and the determination result of whether or not to open the store And a process for providing a purchase request information and / or sale desired information of real estate, to the execution.

  A real estate utilization proposal system according to another aspect of the present invention is a system for providing information related to the propriety of opening a store in a predetermined industry for each area, and purchase request information storage means storing real estate purchase request information. A sale request information storage unit storing real estate sale request information; a search condition reception unit that receives designation of a business type; an area dividing unit that divides a predetermined area into a plurality of small areas; Based on the purchase request information and the sale request information, an appraisal value calculation means for calculating the appraisal value of the real estate in the small area, an expected profit calculation means for calculating the expected profit of the designated industry in the small area, and the expected profit Appropriateness determination means for determining the appropriateness of opening a store in the specified industry in the small area based on the assessed amount, and the specified industry for each small area in the predetermined area And opening propriety information providing means for providing information relating to the appropriateness of the determination result of the opening, and having a.

  Further, the real estate utilization proposal method according to another aspect of the present invention is a method for providing information related to the propriety of opening a store in a predetermined industry for each area, and purchase request information storage means storing real estate purchase request information And a sale request information storage unit that stores real estate sale request information, a process of accepting designation of a business type, a process of dividing a predetermined area into a plurality of small areas, and the above-mentioned in the small area Based on the purchase request information and the sale request information, the process for calculating the appraisal value of the real estate in the small area, the process for calculating the expected profit of the designated industry in the small area, the process based on the expected profit and the appraisal value, Providing information related to the process of determining whether or not to open a store in the specified industry in the small area and the determination result of whether or not to open a store in the specified industry for each small area in the predetermined area. Characterized by a process of the execution.

  A computer program according to another aspect of the present invention is a computer program for providing information related to the propriety of opening a store in a predetermined industry for each area, and stores purchase request information storing real estate purchase request information. A process for accepting designation of a business type, a process for dividing a predetermined area into a plurality of small areas, and a process for dividing a predetermined area into a plurality of small areas; Based on the purchase request information and the sale request information, the process for calculating the appraisal value of the real estate in the small area, the process for calculating the expected profit of the designated industry in the small area, the expected profit and the appraisal value On the basis of the process of determining the appropriateness of the opening of the designated industry in the small area and the opening of the designated industry for each small area in the predetermined area. A process of providing information relating to whether the determination result, to the execution.

  In addition, a real estate utilization proposal system according to another aspect of the present invention is a system that provides information related to the propriety of opening a store for each type of industry for a predetermined real estate, and stores a purchase request information storing real estate purchase request information. Based on the purchase request information and the sale request information in the area where the designated real estate exists, the sale request information storage means storing the sale information of the real estate, the search condition reception means for receiving the designation of the real estate Appraisal value calculation means for calculating the appraisal value of real estate in Japan, expected profit calculation means for calculating the expected revenue for each industry in the above area, and whether or not to open a store for each industry in the above area based on the above expected profit and the appraisal value Adequacy determination means for determining the store adequacy information providing means for providing information related to the determination result of the adequacy of store opening for each type of business in the area, Characterized in that it has.

  Further, the real estate utilization proposal method according to another aspect of the present invention is a method for providing information relating to the propriety of opening a store for each type of industry for a predetermined real estate, and stores purchase request information storing real estate purchase request information. A process for accepting designation of real estate by a system having means and a sale desire information storage means storing real estate sale hope information, and based on the purchase hope information and the sale hope information in the area where the designated real estate exists, Processing to calculate the appraisal value of real estate in the area, processing to calculate expected revenue for each industry in the area, and processing to determine whether or not to open a store for each industry in the area based on the expected revenue and the appraisal value And a process of providing information relating to a result of determining whether or not a store is appropriate for each type of business in the area.

  Further, a computer program according to another aspect of the present invention is a computer program for providing information relating to the propriety of opening a store for each type of business for a predetermined property, and purchase request information storing property purchase request information A system having storage means and sale request information storage means storing real estate sale request information, a process for accepting designation of real estate, and the purchase request information and sale sale information in the area where the designated real estate exists. Based on the process of calculating the real estate appraisal value in the area, the process of calculating the expected revenue for each industry in the area, and the suitability of store openings for each industry in the area based on the expected profit and the appraisal value. And a process of providing information relating to a determination result of whether or not to open a store for each type of business in the area.

  According to the present invention, it is possible to propose a real estate suitable for use by a predetermined business type, or to propose a business type suitable for using a predetermined real estate, thereby promoting the use of real estate.

It is the functional block diagram which showed the function with which the real estate utilization proposal system and real estate assessment system which concern on 1st embodiment of this invention are provided. It is the figure which showed an example of the data memorize | stored in the industry information storage part in the real estate utilization proposal system which concerns on this embodiment. It is the figure which showed an example of the data memorize | stored in a real shop information storage part in the real estate utilization proposal system which concerns on this embodiment. It is the figure which showed an example of the data memorize | stored in an area information storage part in the real estate utilization proposal system which concerns on this embodiment. It is the processing flowchart which showed the flow of the process to the real estate assessment system which concerns on this embodiment. It is the processing flowchart which showed the flow of the process by the real estate utilization proposal system which concerns on this embodiment. It is the figure which showed an example of the output screen at the time of designating an industry and an area in the real estate utilization proposal system which concerns on this embodiment. It is the figure which showed an example of the output screen on which the determination result of the propriety of a store opening was displayed in the real estate utilization proposal system which concerns on this embodiment. It is the processing flowchart which showed the flow of the other process by the real estate utilization proposal system which concerns on this embodiment. It is the figure which showed an example of the output screen on which the determination result of the propriety of the store opening for every industry type was displayed in the real estate utilization proposal system which concerns on this embodiment. It is the functional block diagram which showed the function with which the real estate utilization proposal system and real estate assessment system which concern on 2nd embodiment of this invention are provided. It is the figure which showed an example of the data memorize | stored in the store opening essential point memory | storage part in the real estate utilization proposal system which concerns on this embodiment. It is the processing flowchart which showed the flow of the other process by the real estate utilization proposal system which concerns on this embodiment. It is the functional block diagram which showed the function with which the real estate utilization proposal system and real estate assessment system which concern on 2nd embodiment of this invention are provided. It is the processing flowchart which showed the flow of the process to the real estate assessment system which concerns on this embodiment. It is the figure which showed an example of the output screen on which the determination result of the propriety of the store opening for every area was displayed in the real estate utilization proposal system which concerns on this embodiment.

Hereinafter, a real estate utilization proposal system according to an embodiment of the present invention will be described with reference to the drawings.
The real estate utilization proposal system according to the present embodiment provides property information suitable for opening a store in a predetermined industry, or determines whether or not a store such as a store in a predetermined industry is appropriate for each predetermined area. It is a system that proposes the use of real estate by providing property information for opening stores.

As shown in FIG. 1, the real estate utilization proposal system 1 according to the first embodiment of the present invention is realized by a so-called computer or the like, and includes a CPU (Central Processing Unit), a RAM (Random Access Memory), and a ROM (Read Only). Memory), hardware resources such as a hard disk drive, and software resources such as a computer program executed by the CPU, the industry information storage unit 1A, the actual store information storage unit 1B, the area information storage unit 1C, the map information storage unit 1D, and the store opening point storage The function block which comprises the part 1E, the estimated profit calculation part 11, the actual number-of-stores total part 12, the appropriate store number calculation part 13, the appropriate property price calculation part 14, and the suitability determination part 15 is comprised.
Moreover, the real estate utilization proposal system 1 has a real estate assessment system 2 that executes an assessment based on a desire to purchase or sell an existing real estate as a part of the system.

The business type information storage unit 1A is a storage unit that stores information to be taken into consideration when opening a store for each type of business.
The information to be taken into consideration when opening a store is the conditions required for the property when opening a store, information necessary for ensuring profitability, and the like.
For example, as shown in FIG. 2, the industry information storage unit 1A stores information such as required minimum area, required revenue, risk, cost, sales per square meter, customer unit price, customer group, etc. for each industry. .
Here, the risk is, for example, the size of the invested funds required for opening a store or the period required for collection, etc., and means that there is a possibility that profit returns will not be as expected due to changes in news or the environment. As a numerical value. Specifically, if the parking lot management is small, the risk is small because the investment is small, but the risk is small. If the building is built, the profit is large but the investment is large, so the risk is large.

  In addition to these pieces of information, information necessary for predicting profits according to the circumstances of each industry may be stored as appropriate. For example, if it is a restaurant, it is more accurate to include items worth considering as much as possible, such as the number of rotations of customers, the number of seats according to the area, and the number of parking lots.

  In this embodiment, “store opening” means the development or management of all types of business, and covers all types of business such as real estate development business such as new business opening, branch establishment, residential land development business, and condominium development business. However, it is not limited to a predetermined industry.

The actual store information storage unit 1B is a storage unit that stores information relating to an actual store that is an actual store.
For example, as shown in FIG. 3, the purchase request information storage unit 2B stores information such as the type of business and the location of each store.

The area information storage unit 1 </ b> C is a storage unit that stores information for calculating a customer attracting forecast, a profit forecast, or a latent demand when opening a store in a predetermined area as a numerical value.
For example, as shown in FIG. 4, the area information storage unit 1C stores information on population, average household income, separable income, consumer price area difference index, correction value, and the like for each area. Note that these pieces of information are merely examples, and information useful for grasping the status of the area, such as actual prices, may be registered as appropriate, and this may be used as a basis for the determination process of suitability described later.

Here, the area may be variously provided regardless of whether it is wide or narrow so that information in an arbitrary area, such as a prefecture, a municipality, or a place at a certain distance from a predetermined station, can be grasped.
The population may be classified in detail for the purpose of grasping the demand for each type of business, such as not only the resident population but also the age-specific country, daytime population, and nighttime population. Furthermore, information such as a population increase / decrease prediction may be included for future prediction.

The correction value is obtained by quantifying information or factors that should be noted when predicting potential demand according to the type of business for each area.
Information to be reflected in the correction value is not particularly limited, but an example is given below.
For example, it is information related to the degree of attention for each area, and the degree of attention is obtained by counting the number of searches and browsing by unspecified users for each area in the map service provided by Google Inc. It consists of information.
In other examples, attention is paid to specific areas and real estate obtained by analyzing writings on SNS sites such as Facebook (registered trademark), and map information service provided by Google Inc. There are the amount of advertisements associated with each area, revenue prediction based on the revenue sharing method, disaster information, environmental information, and the like. Note that these factors may be positive or negative. For example, correction values based on population growth and positive writing on the SNS site are configured to greatly estimate potential demand. The correction value based on population decline or negative writing on the SNS site is configured to make the potential demand small.
In addition, the correction value may be single or multiple, and it is better to incorporate as many factors as possible in order to accurately estimate the final potential demand. In the example of FIG. 4, the population, the average household income, and the consumer price region difference index are items different from the correction value, but these pieces of information may be incorporated into the correction value.

  The map information storage unit 1D is a storage unit that stores map information that is displayed in order to receive real estate information and receive designation of an area from the user or make the user refer to the area.

The expected revenue calculation unit 11 calculates the expected revenue when a store of the type of business designated by the user is opened in the area designated by the user.
The expected revenue calculation unit 11 calculates the expected revenue with reference to the industry information storage unit 1A and the area information storage unit 1C. As a specific example, the expected revenue is calculated by grasping the population of customers in the designated industry for the designated area and multiplying the expected number of customers per store by the unit price of customers. In order to ensure accuracy, it is necessary to multiply the consumer price regional difference index and correction value for each area as appropriate, and to take into account the risks for each industry, sales per square meter, and the minimum required area. Is preferred.

  The number of actual stores totaling unit 12 refers to the actual store information storage unit 1B, and totals the number of actual stores in a predetermined area such as an area designated by the user for a predetermined business type.

The appropriate store opening number calculation unit 13 calculates an appropriate number of store openings in an area designated by the user for a predetermined industry.
Here, “appropriate” means that when a store is opened in a predetermined area, the minimum necessary revenue is secured in relation to the competing store, and the store management is sustainable.

  The appropriate number of store openings is calculated by appropriately quantifying various information stored in the industry information storage unit 1A and the area information storage unit 1C and substituting them into a predetermined mathematical expression. In a more specific example, the expected revenue for the entire designated area is calculated from the population that matches the customer group of the designated industry in the designated area and the customer unit price, and is divided by the required revenue per store. The number of open stores is calculated. The required revenue can be obtained, for example, by multiplying a predetermined ratio based on the cost assumed for each type of industry and performing a reverse calculation. Further, by reflecting the risk for each industry, the correction value for each area, and the like for such a calculation method, a more accurate number of appropriate store openings is calculated.

The appropriate property price calculation unit 14 calculates an appropriate property price when opening a store of a predetermined industry in a predetermined area.
Here, “appropriate” means that store management is sustainable in relation to funds invested for property purchases and rentals when a store is opened in a predetermined area.

  The appropriate property price is calculated by appropriately quantifying various information stored in the industry information storage unit 1A and the area information storage unit 1C and substituting them into a predetermined mathematical expression. More specifically, the expected revenue per store is calculated from the population that matches the customer segment of a given industry, the unit price of customers, and the expected number of customers per store, and a certain percentage of this expected revenue is calculated. By multiplying, the amount that can be spent on the real estate is calculated. The amount that can be spent on the real estate is the appropriate property price. In addition, by reflecting the risk for each industry, the correction value for each area, and the like for such a calculation method, an appropriate property price can be calculated more accurately.

The suitability determination unit 15 determines the suitability of the store opening of the designated industry in the designated area based on the expected profit and the assessed amount.
Specifically, the suitability determination unit 15 compares the number of actual stores and the number of appropriate stores in the designated area, and determines the suitability based on whether or not the number of proper stores is maintained even when a new store is opened. Furthermore, the appropriate property price calculated from the expected revenue is compared with the appraisal value, and whether or not the appraisal value is within the appropriate property price is determined.
The determination result of whether or not to open a store by the suitability determination unit 15 does not have to be two choices of appropriateness or inappropriateness, and can be indicated by a degree of appropriateness. For example, when both the appropriate number of store openings and the appropriate property price are satisfied, only one of the cases can be satisfied, and both can be satisfied. In another example, the ratio according to the ratio of the actual number of stores to the number of appropriate store openings and the size of the profit expectation determined from the appropriate property price and the assessed value can be shown.

The real estate appraisal system 2 is a system for presenting an appraisal value of real estate based on actual demand. The real estate appraisal system 2 constitutes a part of the real estate utilization proposal system 1 and provides information on the assessed amount of real estate in a predetermined area. To provide against.
This real estate appraisal system 2 is realized by a so-called server computer or the like, similar to the real estate utilization proposing system 1, and results information storage unit 2A, purchase request information storage unit 2B, sale request information storage unit 2C, map information storage unit 2D, access A functional block including a history information storage unit 2E, a correction value information storage unit 2F, a predicted amount calculation information storage unit 2G, an extraction processing unit 21, a coefficient calculation unit 22, an assessed amount calculation unit 23, and a predicted amount calculation unit 24 is configured.

The record information storage unit 2A is a storage unit that stores past transaction results of real estate.
In the record information storage unit 2A, information such as the address of the real estate for which the transaction has been made, the transaction establishment price, the area of the real estate, and details relating to the transaction are stored based on past transaction examples.

The purchase request information storage unit 2B is a storage unit that stores information regarding purchase applicants who wish to purchase real estate and details of purchase requests made by the purchase applicants.
For example, the purchase request information storage unit 2B stores, for each purchase applicant, information such as a desired place address, a purchase desired price, and details of the purchase desired contents regarding a place where purchase is desired.
Details of the contents of the purchase request are, for example, land shape, area, whether only land or land with buildings is desired.

The sale request information storage unit 2C is a storage unit that stores information regarding the sale applicant who wants to sell the real estate and the contents of the sale request by the sale applicant.
For example, information on a desired place address, a desired sale price, and details of a desired sale content for a place where the sale is desired is stored in the sale desired information storage unit 2C, for example.
The details of the contents desired to be sold are, for example, land shape, area, presence / absence of buildings.

  The map information storage unit 2D is a storage unit that stores map information for grasping the area to be assessed.

The access history information storage unit 2E is a storage unit that stores an access history for each area on the map.
This access history, for example, when a specific user searches or browses a predetermined location in a map service provided by Google Inc., collects information on the location that was searched or browsed. Is accumulated by doing. By grasping the searched or browsed location and counting the number of searches or browsing for each location, it is possible to grasp the location that is attracting attention.
The access history may be collected by the real estate assessment system or may be acquired from a device that provides a map service.

The correction value information storage unit 2F is a storage unit that stores a correction value for correcting the assessed amount based on individual factors for each area.
This correction value is obtained by quantifying a special event or factor that may affect the assessed amount in a predetermined area, and is calculated by the assessed amount calculating unit 23 described later together with the coefficient calculated by the coefficient calculating unit 22. The estimated basic price and the estimated amount calculated by the estimated amount calculation unit 24 are multiplied by this, and are reflected in the estimated amount and the estimated amount.

Factors that make up the correction value include, for example, demographics such as regional population, consumer population, customer age population, young population, etc., increase / decrease prediction of these populations, consumer price index, Facebook (registered trademark) The degree of attention to specific areas and real estate obtained by analyzing the writings on SNS sites represented by, the amount of advertisements associated with each area in the map information provision service provided by Google. Inc., etc. There are revenue forecasts based on the return method, disaster information, environmental information, etc. These factors may be positive or negative. For example, correction values based on population growth and positive writing on the SNS site are configured to make the appraisal value highly calculated. The correction value based on the decrease or the negative writing on the SNS site is configured to calculate the assessed amount low.
In addition, the correction value may be single or plural, and it is better to incorporate as many factors as possible in order to ensure the accuracy of the final assessment amount.

The predicted amount calculation information storage unit 2G is a storage unit that stores information serving as a basis for calculating the predicted amount.
Here, the forecast amount is based on the assumption that there is purchase request information and sale information for real estate in the specified area when there is no purchase request information and sale request information for the real estate existing in the predetermined area. This is the estimated amount expected. This estimated amount is derived from the image of customers who live in a given area and are considered to actually consider the purchase of real estate in the given area. Is grasped from.

In order to calculate such a predicted amount, the predicted amount calculation information storage unit 2G stores, for example, information such as population in a predetermined area, population ratio by age, average household income, published price, and information in the past. Has been. In addition, information relating to past transaction examples may be stored as basic information for calculating the predicted amount.
In calculating the forecast amount, considering the information such as population, population ratio by age, average household income, etc., many people who purchase real estate in a given area are those who live in the given area, This is because when a person in a predetermined area purchases real estate, the limit on the amount that can be purchased is determined by the average household income. In addition, past information can be used to determine the prospects for future real estate prices. By quantifying the population's increasing or decreasing trend, and using that number as a numerical value for calculating the predicted amount, , Can be factored into the expected amount.

  The extraction processing unit 21 executes processing for extracting information necessary for calculation with reference to each storage unit when the estimated amount and the estimated amount are calculated by the estimated amount calculating unit 23 and the estimated amount calculating unit 24.

The coefficient calculation unit 22 calculates an actual demand reflection coefficient as a coefficient for reflecting the actual demand to the assessed basic price calculated by the later-described assessment amount calculation unit 23 from the ratio of the purchase request information and the sale request information in the predetermined area. .
The actual demand reflection coefficient is obtained, for example, by substituting the number ratio of purchase request information and sale request information in a predetermined area into a predetermined formula. In general, if the ratio of purchase request information is larger in the ratio of the number of purchase request information and sale request information, the coefficient becomes larger as the purchase demand exceeds the sell demand (the numerical value is larger than 1). The final assessment amount will be higher than the assessment base price. On the other hand, when the ratio of the desired sales information is larger, the coefficient is smaller (the numerical value is smaller than 1) as the buying demand is lower than the selling demand, and the final assessed value is lower than the assessed basic price.

In another example, the actual demand reflection coefficient is obtained by substituting the ratio of the average value of the desired purchase price and the average desired sale price obtained from the desired purchase information and the desired sale information in a predetermined area into a predetermined formula. It is done. In general, when the average value of the desired purchase price exceeds the average value of the desired sales price, the purchase pressure is strong and the coefficient increases, and the final assessed value is higher than the assessed base price. On the other hand, if the average value of the desired selling price is higher than the average value of the desired purchasing price, the coefficient is small because the selling pressure is strong, and the final assessed value is lower than the assessed basic price.
In addition, this actual demand reflection coefficient is based on the ratio of the number of purchase request information and sale request information, or the ratio of the average value, but if it is based on the correlation between the purchase request information and the sale request information, Other configurations can be used. Moreover, it can also comprise as a thing which multiplied the coefficient calculated based on each number ratio and average ratio.

In addition, the coefficient calculation unit 22 calculates a degree-of-interest reflection coefficient as a coefficient for reflecting the degree of attention to the area in the assessed basic price based on the access history stored in the access history information storage unit 2E.
The attention level reflection coefficient is obtained, for example, by substituting the number of searches and browsing for a predetermined area into a predetermined mathematical expression. Generally, the greater the number of times, the higher the coefficient as the degree of attention is, and the smaller the number, the smaller the coefficient as the degree of attention is low.

The appraisal value calculation unit 23 calculates an appraisal basic price as a basis for calculating the appraisal value from the transaction results in a predetermined area. Specifically, for example, the past transaction price is grasped from the performance information extracted by the extraction unit for the designated area where the presentation of the assessed amount is requested, and the average value is calculated as the assessed basic price.
When the real estate is land, an average value is calculated in a predetermined unit such as a unit price per square meter or a unit price per square meter in consideration of the difference due to the area of the transaction price, and this is used as the assessed base price.

Further, the assessment amount calculation unit 23 calculates the final assessment amount of the designated area by multiplying the assessment basic price by the coefficient calculated by the coefficient calculation unit 22.
When the correction value is stored in the correction value information storage unit 2F for the designated area, the assessment basic price is multiplied by the correction value together with the coefficient.

The forecast amount calculation unit 24, when there is neither purchase request information or sale request information for the real estate in the area requested to present the appraisal amount, purchase request information and sale for the real estate existing in the predetermined area A predicted amount is calculated as an estimated amount that is predicted when there is information.
In the calculation of the predicted amount, first, a predicted basic price is obtained by executing a calculation according to a predetermined calculation formula based on the calculation basic information of the designated area stored in the predicted amount calculation information storage unit 2G. Specifically, for example, the average household income in the area where the assessment amount is required to be calculated can be calculated by multiplying a predetermined coefficient by a general mortgage, or by a coefficient based on age-specific population ratio, etc. The amount obtained by multiplying is the predicted base price.
The predicted basic price is further multiplied by the attention level reflection coefficient calculated by the coefficient calculation unit 22, thereby calculating the final predicted amount of the designated area. When the correction value is stored in the correction value information storage unit 2F for the designated area, the correction value is multiplied by the predicted basic price together with the attention degree reflection coefficient, and the price obtained thereby is used as the predicted amount. It becomes.

Here, with reference to FIG. 5, the flow of processing when the real estate assessment system 2 executes assessment based on actual demand for a predetermined area will be described.
When the real estate utilization proposal system 1 accepts a condition designation described later in response to a request from the user and requests the real estate assessment system 2 to calculate an assessment amount for a predetermined area in response to the request, the real estate assessment system 2 This is accepted (S101).

  The real estate appraisal system 2 identifies the predetermined area designated by the real estate utilization proposal system 1, and refers to the purchase request information storage unit 2B and the sale request information storage unit 2C to purchase the real estate in the predetermined area. It is determined whether or not there is information or desired sale information (S102).

  As a result, when there is either or both of purchase request information and sale request information for real estate in a predetermined area, the extraction processing unit 21 stores information necessary for calculating the assessed amount in each storage unit. (S103). That is, the results information storage unit 2A, the purchase request information storage unit 2B, the sale request information storage unit 2C, and the access history information storage unit 2E, respectively. Extract access history information.

  In response to this, the assessment amount calculation unit 23 grasps the past transaction price from the record information, and calculates the assessment basic price configured as an average value or the like (S104).

Further, the coefficient calculation unit 22 calculates an actual demand reflection coefficient and an attention level reflection coefficient as coefficients to be multiplied by the assessed basic price (S105).
The actual demand reflection coefficient is obtained, for example, by substituting the number ratio of purchase request information and sale request information in a predetermined area into a predetermined formula. Also, the attention level reflection coefficient is obtained, for example, by substituting the number of searches and browsing for a predetermined area into a predetermined mathematical expression.

  When the correction value is stored in the correction value storage unit for the predetermined area, the correction value is extracted by the extraction unit (S106).

  The assessment amount calculation unit 23 further multiplies the assessment basic price by the coefficient calculated by the coefficient calculation unit 22 and, when the correction value is stored in the correction value storage unit, multiplies the correction value together. As a result, the final assessed amount of the predetermined area is calculated (S107).

  On the other hand, in the process of S102, when neither the purchase request information nor the sale request information exists in the predetermined area, a process of calculating the predicted amount of the real estate in the predetermined area is executed. That is, the extraction unit extracts basic prediction information in a predetermined area from the predicted amount calculation information storage unit 2G, and also extracts access history information in the predetermined area from the access history information storage unit 2E (S108).

  In response to this, the predicted amount calculation unit 24 obtains a predicted basic price by executing a calculation based on a predetermined calculation formula based on the predicted basic information of the predetermined area (S109).

Further, the coefficient calculation unit 22 calculates a degree-of-attention reflection coefficient as a coefficient to be multiplied by the predicted basic price (S110).
The attention level reflection coefficient is obtained, for example, by substituting the number of searches and browsing for a predetermined area into a predetermined mathematical expression.

  When the correction value is stored in the correction value storage unit for the designated area, the correction value is extracted by the extraction unit (S111).

  The predicted amount calculation unit 24 multiplies the predicted basic price by the coefficient calculated by the coefficient calculation unit 22, and further multiplies the correction value together when the correction value is stored in the correction value storage unit. Thus, the final predicted amount of the predetermined area is calculated (S112).

When the assessed amount or the predicted amount is calculated by the above processing, this is provided to the real estate utilization proposal system 1 as a final assessed amount.
The assessed amount or the predicted amount can be calculated in any unit such as a unit price per square meter or a unit price per square meter.
The assessed amount can also be calculated as a value with a certain price range. Specifically, the assessment amount constituted by the upper limit and the lower limit can be calculated by multiplying the minimum price and the maximum price for grasping the past transaction price by the coefficient calculated by the coefficient calculation unit 22.
Also, when calculating the appraisal value, it is possible to exclude those with extreme price settings except for the highest price and the lowest price of the purchase request information and the sale request information.
The appraisal value is calculated by multiplying the appraisal base price by a correction value according to the expected increase or decrease of the population in 5 years or 10 years, etc. It is also possible to calculate for every fixed period.
Further, the business type may be associated with the purchase request information and the sale request information. In this case, when determining whether or not to open a store in a predetermined industry in a predetermined area, only purchase request information and sales request information associated with the predetermined industry may be used as basis information for calculating the appraisal amount. Further, when real estate information suitable for opening a store is finally provided, it is possible to selectively propose information associated with a predetermined business type.

Next, with reference to FIG. 6, the flow of processing for determining whether or not to open a store according to the designated industry for the area designated by the user and providing real estate information of the designated area will be described.
First, when the user designates a business type together with a predetermined area on the map, the real estate utilization proposal system accepts designation of conditions for the area and the business type (S201).

Here, FIG. 7 shows a screen example when the user designates a predetermined area and business type on the map while referring to the map.
The user requests the real estate utilization proposal system 1 to output the map information stored in the map information storage unit 1D and displays the map. The user develops a frame line 101 for designating an area on the map by a predetermined operation. In this example, the frame line 101 is configured by a closed circular line. The area surrounded by the frame line 101 is regarded as the area designated by the user.

  In addition, a drop-down list 102 for designating a business type is provided, and the user designates a predetermined business type from the drop-down list 102.

  In response to this, the real estate utilization proposal system 1 requests the real estate assessment system 2 to calculate the assessment amount of the designated area, and the real estate assessment system 2 computes the assessment amount of the designated area (S202).

The expected revenue calculation unit 11 calculates the expected revenue when the store of the type of business designated by the user is opened in the area designated by the user (S203).
The actual store count totaling unit 12 refers to the actual store information storage unit 1B and counts the actual store count in the area designated by the user for a predetermined business type (S204).
The appropriate store opening number calculation unit 13 calculates the appropriate number of store openings in the area specified by the user for the type of business specified by the user (S205).

  In response to this, the suitability determination unit 15 determines the suitability of opening a store in the designated industry in the designated area (S206). Specifically, the number of actual stores in the designated area is compared with the number of appropriate stores, and the suitability is determined based on whether or not the number of appropriate stores is maintained even when new stores are opened. At the same time, the appropriate property price calculated from the expected profit is compared with the appraisal value, and whether or not the appraisal value is within the appropriate property price is determined.

The determination result of suitability is provided to the user together with the real estate information (S207).
FIG. 8 shows an example of a screen that provides a determination result of whether or not to open a store and real estate information to the user.
This example shows a case where it is determined that the store is open properly. In the frame 101 indicating the designated area, real estate purchase request information and sale desired information are displayed as real estate information existing in the designated area. Has been. Further, in the predetermined information display field 103, detailed information on suitability determination is displayed. By referring to this, it is possible to grasp details such as the appraisal value, the appropriate price, the number of actual stores, the number of proper store openings, and the like.
The information on the real estate in the designated area can be obtained by specifying a link 104 provided separately or a link provided in the mark 105 indicating the real estate on the map, so that the purchase request information storage unit 2B or the sale request information storage unit Real estate information related to purchase request information and sale request information stored in 2C is extracted and displayed. Note that both the purchase request information and the sale request information can be displayed by an appropriate operation or arbitrary setting, or only one of them can be displayed.

In addition, about the determination result of this suitability, the example of FIG. 8 shows appropriateness by displaying real estate information only when it is appropriate, and is not appropriate by not displaying real estate information when it is not appropriate. However, it may be possible to display an appropriateness determination result item and display whether it is appropriate or to display the degree of suitability.
Further, the information supplementing the determination result of suitability is not particularly limited to that shown in the figure, and the expected profit, the necessary investment amount, and the like may be appropriately calculated and displayed. In addition, when individual real estate information is designated, the expected profit, the investment amount, and the like may be calculated anew according to the designated real estate information.

  According to the real estate utilization proposal system 1 according to the present embodiment, it is possible to propose real estate suitable for utilization by a predetermined industry, thereby promoting utilization of the real estate.

Next, another process executed by the real estate utilization proposal system 1 will be described with reference to FIG.
In this process, information relating to the propriety of opening a store by each industry is provided for a predetermined property.
First, the real estate utilization proposal system 1 accepts designation of real estate information from the user (S301).
For example, as shown in FIG. 10, the designation of real estate information can be accepted by designation of a landmark 105 of real estate information displayed on a map.
Note that the real estate information displayed here is the purchase request information or sale request information of the real estate stored in the purchase request information storage unit 2B or the sale request information storage unit 2C.

In response to this, the real estate utilization proposal system 1 uses the real estate assessment system 2 to set a predetermined area where the designated real estate information exists, and executes real estate assessment in the predetermined area (S302).
In addition, the area which performs this assessment can determine the wide range by arbitrary settings.

The expected revenue calculation unit 11 calculates the expected revenue for each industry in the predetermined area when a store is opened in each industry (S303).
The number of actual stores totaling unit 12 refers to the actual store information storage unit 1B, and totals the number of actual stores in a predetermined area for each type of business (S304).
The appropriate store opening number calculation unit 13 calculates the appropriate number of store openings in a predetermined area for each type of business (S305).

  In response to this, the suitability determination unit 15 determines the suitability of opening a store in each industry in a predetermined area (S306). Specifically, for each type of business, the number of actual stores in a predetermined area is compared with the number of appropriate stores, and the suitability is determined based on whether or not the number of appropriate stores is maintained even when new stores are opened. At the same time, the appropriate property price calculated from the expected profit is compared with the appraisal value, and whether or not the appraisal value is within the appropriate property price is determined.

The determination result of suitability is provided to the user (S307).
FIG. 10 shows an example of a screen that provides the user with a determination result of suitability for opening a store for each type of business.
The information display column 106 displays information such as the propriety of opening a store for each type of business, the assumed profit derived from profits, and the investment amount, along with the detailed information of the designated property.
It should be noted that the suitability of store opening by each business type may be set so that only the business types suitable for the store opening can be selectively displayed.
Further, the information displayed in the information display column 106 is not limited to that shown in the figure, and various information such as an assessed amount may be displayed as appropriate.

  According to this processing, for example, the owner or the like who owns the property can grasp what type of business the property can utilize. In addition, since profits for each industry are calculated in detail, it is also possible to grasp highly profitable industries.

  In addition, in determining the suitability of each industry according to the above-mentioned real estate, the appropriate property price calculated from the expected revenue was compared with the appraisal value, but the business investment amount and the real estate price were divided into the expected revenue of each industry. The magnitude of the return may be determined from the ratio, and the suitability of the cost may be determined according to the magnitude of the return. Specifically, if the assumed return is 10 million yen, the business investment amount is 5 million yen, and the appraised amount is 95 million yen, the investment amount is 100 million yen and the annual recovery amount is 10 million yen. Calculated and this return can be used as a criterion for suitability. Also, in this case, since the owner of the real estate does not need to consider the real estate price as the investment amount, it is possible to consider the return at the rate of dividing the business investment amount into the expected profit, assuming the real estate ownership. It may be. As described above, according to the suitability determination process, it is possible to indicate that a business with a high expected return on business investment is a good investment destination and a business with a small business investment and a return can be expected.

Next, the real estate utilization proposal system 3 according to the second embodiment of the present invention will be described with reference to FIG.
In this embodiment, real estate information corresponding to the store opening guidelines arbitrarily registered by the user is provided.
The real estate utilization proposal system 3 includes an area specifying unit 16 and a store opening guideline storage unit 1E in addition to the functions provided in the real estate utilization proposal system 1 described above.

The store opening guideline storage unit 1E is a storage unit that stores store opening guideline related to conditions necessary for opening a store, and the store opening guideline is arbitrarily registered by the user.
For example, as shown in FIG. 12, in the store opening guideline storage unit 1E, information for designating a position such as along a main road or within a 10-minute walk from a station, necessary area and income, when purchasing or renting real estate Information such as the amount of money that can be spent and the presence or absence of competing stores in a predetermined area is stored as store opening guidelines.
This store opening guideline is referred to when determining whether or not to open a store or providing property information or information related to an area that satisfies the store opening guideline.
Note that the items registered as the store opening guidelines are not limited to the example in FIG. 12, and various items can be registered as long as they are objective information.

  When the area condition is specified in the store opening guideline, the area specifying unit 16 specifies an area that meets the specified condition. For example, the area along the main road or within a 10-minute walk from the station is specified. In addition, the area specified by this is not necessarily limited to one, and may be plural.

Next, the flow of processing by the real estate utilization proposal system 3 according to the present embodiment will be described with reference to FIG.
First, the real estate utilization proposal system 3 accepts a request for reference to a store opening guideline registered in the store opening guideline storage unit 1E from a user (S401).

In response to this, when there is a condition for designating an area in the store opening guideline, the real estate utilization proposal system 3 first identifies an area related to the designated condition by the area identifying unit 16 (S402).
The area condition is, for example, information for designating a place within a radius of 2 km from the station or along the main road, but is an item that is arbitrarily set in the store opening guidelines, and is referred to only when it is set. .
In addition, when there is no condition for designating an area in the store opening guideline, a designation of a predetermined area may be received from the user, and this may be handled as the specified area.

  In response to this, the real estate utilization proposal system 3 executes the real estate assessment in the specified area by the real estate assessment system 2 (S403).

The expected revenue calculation unit 11 calculates the expected revenue when the store of the type of business designated in the store opening guidelines is opened in the specified area (S404).
The actual store count totaling unit 12 refers to the actual store information storage unit 1B and counts the actual store count in the specified area for the type of business designated in the store opening guidelines (S405).
The appropriate store opening number calculation unit 13 calculates the appropriate number of store openings in the specified area for the type of business designated in the store opening guidelines (S406).

In response to this, the suitability determination unit 15 determines whether or not the store opening of the designated industry in the specified area satisfies the store opening guidelines (S407).
Here, the suitability determination unit 15 determines whether or not the store opening guidelines are satisfied. However, since the store opening guidelines can set various conditions, the number of actual stores in the processing of S405 and the number of appropriate stores in the processing of S406 are determined. There is a case where calculation is not required, and in this case, unnecessary processing may be omitted. For example, if it is set that the actual store number or the appropriate store number need not be considered in the store opening guidelines, the processing of S405 and S406 is not required.

  When the specified area satisfies the store opening guidelines, the real estate information of the specified area is provided to the user (S408). In addition, when a plurality of areas are specified and only a predetermined area among them satisfies the store opening guidelines, real estate information on the areas satisfying the store opening guidelines is provided to the user.

  As a result, companies that develop franchise chains can easily find real estate information in line with their store opening guidelines.

  In the present embodiment, the store opening guideline is used as a reference when determining whether or not to open a store, but this can also be applied to the real estate utilization proposal system 1 according to the first embodiment. That is, in this embodiment, the area that satisfies the store opening requirements is specified without accepting the designation of the area from the user. However, the area specified by the user is applied to the real estate utilization proposal system 1 according to the first embodiment. It may be determined whether or not the store opening guidelines can be satisfied.

Next, the real estate utilization proposal system 4 according to the third embodiment of the present invention will be described with reference to FIG.
The real estate utilization proposal system 4 proposes an area suitable for opening a store in a designated industry accepted from a user.
The real estate utilization proposal system 4 includes an area dividing unit 17 in addition to the functions provided in the real estate utilization proposal system 1 described above.

  The area dividing unit 17 divides a predetermined area into a plurality of small areas. The small area is an area having a smaller area than the predetermined area. For example, the small area is an area having a certain ratio to the predetermined area, or an area having a constant area regardless of the predetermined area. Can be set arbitrarily.

Next, the flow of processing by the real estate utilization proposal system 3 according to the present embodiment will be described with reference to FIG.
First, the real estate utilization proposal system 4 accepts a business condition specification from the user (S501).

In response to this, the real estate utilization proposal system 4 first divides a predetermined area into small areas by the area dividing unit 17 (S502).
The predetermined area can be an area displayed on the output screen of the predetermined terminal or an area designated by the user in the map that the user has referred to using the predetermined terminal. . Moreover, it can also be set as the whole map grasped | ascertained by the map information memorize | stored in map information storage part 1D.

  In response to this, the real estate utilization proposal system 4 executes the real estate assessment for each small area by the real estate assessment system 2 (S503).

The expected revenue calculation unit 11 calculates the expected revenue when opening a store in the designated industry in each small area (S504).
The number of actual stores totaling unit 12 refers to the actual store information storage unit 1B, and totals the number of actual stores in each small area for the designated industry (S505).
The appropriate store opening number calculation unit 13 calculates the appropriate number of store openings in each small area for the designated industry (S506).

In response to this, the suitability determination unit 15 determines the suitability of the store opening of the designated industry in each small area (S507).
Specifically, the number of actual stores in each small area is compared with the number of appropriate stores, and the suitability is determined based on whether or not the number of appropriate stores is maintained even when new stores are opened. At the same time, the appropriate property price calculated from the expected profit is compared with the appraisal value, and whether or not the appraisal value is within the appropriate property price is determined.

The determination result of whether each small area is appropriate is provided to the user together with the real estate information of each small area (S508).
FIG. 16 shows an example of a screen that provides the user with a result of determining whether or not a store is appropriate for a specified type of business for each small area.
In this example, the display of an appropriate small area is changed according to the degree of suitability, a more appropriate small area is displayed with a circular frame 107 with a solid line, and then an appropriate small area is displayed with a circular line with a broken line. This is indicated by a frame line 108.
The display method is not limited to this example, and the entire map including the small area where the store is not open may be color-coded according to the suitability of each small area. Further, only a small area where a store is appropriate may be displayed by an appropriate operation.

  According to the real estate utilization proposal system 4 according to the above-described embodiment, it is possible to easily grasp which area on the map has a possibility of opening a store in a desired industry.

  In the real estate utilization proposal system 4 according to the present embodiment, a predetermined area is divided into small areas by the area dividing unit 17, and the suitability of opening a store in a predetermined industry is determined for each small area. For example, it is possible to register a small area in which map information is finely divided in advance and determine whether or not a predetermined type of store opening is appropriate for each registered small area.

  In the above-described embodiment of the present invention, the real estate constituting the real estate information is not particularly limited, such as land or building. In addition, in both cases of building and land, it can be applied not only to buying and selling but also to renting, etc.In this case, the purchase is rented and the sale is regarded as rent, and the rent per square meter is assessed or estimated. What is possible is a possible price.

  Moreover, in the above embodiment, the propriety of opening a store may include a future prediction. In this case, for example, a correction value is set according to the expected increase or decrease of the population in 5 years or 10 years, etc., and the degree of attention. It is advisable to provide a result of determining whether or not the product is appropriate.

  In the above embodiment, machine learning based on AI (artificial intelligence) may be incorporated into the calculation of the suitability for opening a store and the assessment amount. For example, the discrepancy between the assessed amount and the actual established price may be reduced by learning the difference between the assessed amount according to the present embodiment described above and the final price established through actual real estate transactions. Moreover, it is good to learn a user's answer with respect to the determination result of a suitability, and the result of the real estate transaction, and to improve the accuracy of judgment of suitability.

  In addition, in the above embodiment, when determining whether or not to open a store, regarding the area conditions received from the user and the area requirements necessary for opening stores for each type of business, by writing a plurality of adjacent lands It is advisable to determine whether there is a real estate that can satisfy the desired area, and to make such a proposal if possible.

DESCRIPTION OF SYMBOLS 1 Real estate utilization proposal system 1A Industry information storage part 1B Real store information storage part 1C Area information storage part 1D Map information storage part 1E Store opening essential point storage part 11 Expected profit calculation part 12 Actual store number totaling part 13 Appropriate store opening number calculation part 14 Appropriate Property price calculation section 15 Appropriateness determination section 16 Area identification section 17 Area division section 2 Real estate assessment system 3 Real estate utilization proposal system 4 Real estate utilization proposal system

Claims (12)

A system that determines whether or not to open a store for each industry in a given area, and proposes the use of real estate in the given area,
A purchase request information storage means for storing purchase request information of real estate;
A sales wish information storage means for storing real estate sales wish information;
A search condition accepting means for accepting designation of area and type of business,
An appraisal value calculation means for calculating an appraisal value of real estate in the specified area based on the purchase request information and the sale request information in the specified area;
Expected revenue calculation means for calculating the expected revenue of the specified industry in the specified area,
On the basis of the expected revenue and the appraised value, the suitability judging means for judging the suitability of the opening of the designated industry in the designated area;
Real estate information providing means for providing purchase request information and / or sale request information of real estate existing in the designated area together with the determination result of whether or not the store is open.
Real estate utilization proposal system characterized by this. Area information storage means for storing information that is the basis for calculating the earnings forecast for each area;
An industry information storage means for storing information that is the basis for calculating the earnings forecast for each industry,
The expected revenue calculating means refers to the area information storage means and the industry information storage means to calculate the expected profit of the designated industry in the designated area.
The real estate utilization proposal system according to claim 1. An actual store information storage means for storing information related to the type and location of the actual store;
With reference to the actual store information storage means, the actual store number counting means for counting the number of actual stores in the designated area;
An appropriate store opening number calculating means for calculating an appropriate number of store openings in the specified area based on the expected revenue of the specified industry in the specified area,
The suitability determination means further compares the number of actual stores in the designated area with the number of appropriate stores in the designated area.
The real estate utilization proposal system according to claim 1 or 2. Store opening guideline storage means for storing the store opening guideline;
The suitability determination means further determines the suitability of the store opening of the designated industry in the designated area based on the store opening guidelines.
The real estate utilization proposal system according to any one of claims 1 to 3. A method for determining the appropriateness of opening a store for each type of business in a given area, and proposing the use of real estate in the given area,
A purchase request information storage means for storing purchase request information of real estate;
A system for storing sales wish information storing means for storing information on the sale of real estate,
Processing to accept designation of area and industry,
A process of calculating an appraisal value of real estate in the designated area based on the purchase request information and the sale request information in the designated area;
Processing to calculate the expected revenue for the specified industry in the specified area,
A process for determining whether or not to open a store in the designated industry in the designated area based on the estimated revenue and the assessed amount;
A process for providing purchase request information and / or sale request information of real estate in the designated area together with the determination result of whether or not to open the store is performed.
Real estate utilization proposal system characterized by this. A computer program for determining whether or not to open a store for each type of business in a predetermined area and proposing the use of real estate in the predetermined area,
A purchase request information storage means for storing purchase request information of real estate;
For a system having a sale request information storage means storing the sale information of real estate,
Processing to accept designation of area and industry type,
A process of calculating an appraisal value of real estate in the designated area based on the purchase request information and the sale request information in the designated area;
Processing to calculate the expected revenue for the specified industry in the specified area,
A process for determining whether or not to open a store in the designated industry in the designated area based on the estimated revenue and the assessed amount;
A process of providing purchase request information and / or sale request information of real estate existing in the designated area together with the determination result of whether or not to open the store;
Computer program. A system that provides information on the appropriateness of opening a store in a given industry for each area,
A purchase request information storage means for storing purchase request information of real estate;
A sales wish information storage means for storing real estate sales wish information;
A search condition accepting means for accepting designation of an industry,
Area dividing means for dividing a predetermined area into a plurality of small areas;
An appraisal value calculation means for calculating an appraisal value of real estate in the small area based on the purchase request information and the sale request information in the small area;
Expected revenue calculation means to calculate the expected revenue of the specified industry in the above small area,
On the basis of the forecasted revenue and the appraisal value, the suitability judging means for judging the suitability of the opening of the designated industry in the small area,
For each small area within the predetermined area, store opening propriety information providing means for providing information related to the determination result of the suitability of store opening in the specified industry,
Real estate utilization proposal system characterized by this. A method for providing information related to the propriety of opening a store in a predetermined industry for each area,
A purchase request information storage means for storing purchase request information of real estate;
A system for storing sales wish information storing means for storing information on the sale of real estate,
A process that accepts the type of industry,
A process of dividing a predetermined area into a plurality of small areas;
A process for calculating an appraisal value of real estate in the small area based on the purchase request information and the sale request information in the small area;
Processing to calculate the expected revenue of the specified industry in the small area,
A process for determining whether or not to open a store in the specified industry in the small area based on the estimated revenue and the assessed value;
Processing for providing information related to the determination result of whether or not to open a store in the designated industry for each small area in the predetermined area,
Real estate utilization proposal method characterized by this. A computer program for providing information related to the propriety of opening a store in a predetermined industry for each area,
A purchase request information storage means for storing purchase request information of real estate;
For a system having a sale request information storage means storing the sale information of real estate,
A process that accepts the type of industry,
A process of dividing a predetermined area into a plurality of small areas;
A process for calculating an appraisal value of real estate in the small area based on the purchase request information and the sale request information in the small area;
Processing to calculate the expected revenue of the specified industry in the small area,
A process for determining whether or not to open a store in the specified industry in the small area based on the estimated revenue and the assessed value;
For each small area in the predetermined area, a process for providing information related to the determination result of the suitability of opening a store in the designated industry is executed.
Computer program. A system that provides information on the propriety of opening a store for each type of industry for a given property,
A purchase request information storage means for storing purchase request information of real estate;
A sales wish information storage means for storing real estate sales wish information;
Search condition accepting means for accepting designation of real estate;
An appraisal value calculation means for calculating an appraisal value of real estate in the area based on the purchase request information and the sale request information in the area where the designated real estate exists;
Expected revenue calculation means to calculate the expected revenue for each industry in the above area,
Based on the expected revenue and the appraisal value, the suitability judging means for judging the suitability of the store opening for each industry in the area,
A store opening / disapproval information providing means for providing information related to the determination result of the suitability of store opening for each industry in the above-mentioned area,
Real estate utilization proposal system characterized by this. A method of providing information related to the propriety of opening a store for each industry for a given property,
A purchase request information storage means for storing purchase request information of real estate;
A system for storing sales wish information storing means for storing information on the sale of real estate,
Processing to accept designation of real estate,
Based on the purchase request information and the sale request information in the area where the designated real estate exists, a process for calculating the assessed value of the real estate in the area;
Processing to calculate the expected revenue for each industry in the above areas,
A process for determining whether or not to open a store for each type of business in the area based on the expected revenue and the assessed value;
A process for providing information related to the determination result of whether or not to open a store for each type of business in the area,
Real estate utilization proposal method characterized by this. A computer program for providing information related to the propriety of opening a store for each industry for a given property,
A purchase request information storage means for storing purchase request information of real estate;
For a system having a sale request information storage means storing the sale information of real estate,
Processing to accept designation of real estate,
Based on the purchase request information and the sale request information in the area where the designated real estate exists, a process for calculating the assessed value of the real estate in the area;
Processing to calculate the expected revenue for each industry in the above areas,
A process for determining whether or not to open a store for each type of business in the area based on the expected revenue and the assessed value;
A process for providing information related to the determination result of the suitability of opening a store for each type of business in the area,
Computer program.

Images