JP7266136B1 - Information processing device and program - Google Patents

Abstract

Kind Code: A1 A real estate transaction business for property owners is enabled before information on the property for sale is known to unspecified persons. A vacant house possibility information acquiring unit 14 acquires vacant house possibility information that has a possibility of becoming a vacant house in which people do not live based on an infrastructure project contract or usage status, and acquisition by the vacant house possibility information acquiring unit 14. and an output unit 15 for outputting the obtained vacant house possibility information as a candidate for a business destination for real estate transactions. [Selection drawing] Fig. 3

Description

The present invention relates to an information processing device and program.

The trend toward new real estate overemphasis is being reconsidered due to heightened awareness of environmental issues and effective utilization of resources, and the market for second-hand houses such as second-hand condominiums is being activated.
For example, Patent Literature 1 discloses a real estate purchase system connected to a network that supports the purchase of real estate. Property registration means for registering property information and property provision means for preparing property provision information to be provided on the network from the property information registered by the property registration means, wherein the network communication means is prepared by the property provision means. A technique for disclosing property provision information obtained through a network is described.

JP-A-2002-024596

Here, in recent years, in addition to inter-individual transactions in which second-hand properties are bought and sold via brokers, second-hand properties are purchased by brokers, remodeled and renovated to increase asset value, and then resold at a lower price than new construction. You have a reseller business. In such a purchase and resale business, it is important from the standpoint of business continuity to purchase a large amount of second-hand properties, as in the conventional brokerage business.
For owners of second-hand properties who are considering selling, in general, real estate agents (brokers, purchase resellers, (regardless of whether)), the owner himself contacts and conveys his intention to sell himself, but the approach method from the real estate agent to the owner is limited as mentioned above, and they will wait passively. In other words, it is difficult for real estate agents to identify owners who intend to sell.

The object of the present invention is to solve such problems, and more specifically, to enable sales of real estate transactions to property owners at a stage before information on the property to be sold becomes known to unspecified persons. It is in.

For this purpose, the present invention provides acquisition means for acquiring information on the possibility of a vacant house that may become vacant due to a lack of people living there, except in the case of rental, based on an infrastructure project contract or usage status, and the acquisition means. and output means for outputting the vacant house possibility information acquired by the above as a candidate for a business destination of real estate transactions, and in the case of the rental, guess whether the house is owned or rented, and a property with a low possibility of being owned or a rental property is a property with a high possibility of being owned, and the presumption of whether it is an owned house or a rented house is, as a condition for the attribute information of the contractor of the infrastructure business, that the number of years of the contract is a predetermined value or more in the attribute information. The attribute information includes information specifying that the building specified by the contract and/or the address of the contractor is a condominium, and the size of the room is specified in advance. Specify that the building is a condominium for sale in the attribute information, that it is equal to or greater than a specified value and/or that information indicating a floor plan for multiple residents is included or not included. that the attribute information includes information about past real estate transactions, that the attribute information includes information that indicates multiple types of contracts for the infrastructure business as conditions related to the contracts of the contractor; The attribute information includes information indicating that there is a change in the energy usage trend of a predetermined month relative to the month of the previous year corresponding to the month, and that the change is a decrease, and the infrastructure business is implemented. Includes information indicating the period since the business operator's most recent contact with the occupants of the building in the past, and the time when the equipment used in connection with the provision of the infrastructure project was installed in the living area of the building An information processing device characterized by using any one or more of the following: including information indicating a subsequent period; including statistical information about people and/or households in the area where the building is located. is. The phrase “except for rental cases” here includes cases where “all rental cases are excluded” and cases where “partial rental cases are excluded”. In other words, it does not necessarily "exclude all cases of rental", but it also applies to cases where the remaining "case of rental" is included as a result of "excluding some cases of rental".
Here , the vacant house possibility information is information indicating a property that is estimated to have a high possibility of becoming a vacant house, and is information at a stage before the property is actualized. can be done.
According to another aspect of the present invention to achieve the above object, an information processing device acquires vacant house possibility information that is likely to become vacant due to lack of people living in it, except in the case of renting, based on a contract or usage status of an infrastructure business. Realizing the acquisition function, the property is unlikely to be owned or leased. The information includes information indicating that the number of years of the contract is equal to or greater than a predetermined value, and the attribute information indicates that the building specified by the contract and/or the address of the contractor is for sale. Information that identifies the condominium, that the size of the room is equal to or greater than a predetermined value, and/or that information indicating a floor plan for multiple residents is included or not included , that the attribute information includes information specifying that the building is a condominium and includes information related to past real estate transactions, and that the attribute information includes the infrastructure Information indicating multiple types of business contracts is included, the attribute information has a change in the energy usage trend for the month of the previous year corresponding to the month of the predetermined month, and the change can be reduced. including information indicating that the infrastructure project has been in place, including information indicating the period since the most recent point of contact with the occupants of the building, which is traced back to the past by the business operator conducting the infrastructure project, and including the infrastructure project contains information indicating the period since the equipment used in connection with the provision by the building was installed in the living quarters of the building; contains statistical information about the people and/or households in the area in which the building is located; It is a program that uses any one or more of

According to the present invention, it is possible to conduct real estate transaction business for property owners at a stage before sale property information is known to unspecified persons.

BRIEF DESCRIPTION OF THE DRAWINGS It is a figure which shows the whole structural example of the real estate transaction guidance system which concerns on 1st Embodiment. 3 is a diagram illustrating an example hardware configuration of a management server and terminals; FIG. It is a figure which shows the functional structural example of a management server. It is a flow chart explaining real estate transaction guidance. It is a figure explaining narrowing-down conditions. It is a flow chart explaining real estate transaction guidance concerning a 2nd embodiment. FIG. 10 is a diagram for explaining the extraction of customers whose gas consumption has changed, (a) and (c) are the monthly consumption until March, and (b) is the same customer's monthly consumption last year. indicates It is a figure which shows the whole structural example of the real estate transaction guidance system which concerns on 3rd Embodiment.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
<Structure of Real Estate Transaction Guidance System According to First Embodiment>
FIG. 1 is a diagram showing an example of the overall configuration of a real estate transaction guidance system 1 according to the first embodiment.
The real estate transaction guidance system 1 according to the first embodiment estimates vacant houses that will no longer be lived in by using information on contracts or usage of infrastructure projects, and guides candidates for real estate transaction partners that improve the operating efficiency of real estate transactions. It is a system that
Real estate presumed to be vacant includes cases where the current residents are planning to move, and cases where they have already moved.

The infrastructure business referred to here refers to business as a foundation that supports industry and life, and includes energy infrastructure business such as electricity and gas. Changes in contracts and usage of energy infrastructure projects are useful information for estimating vacant houses. Also, the infrastructure projects referred to herein may include other infrastructure projects that may be useful for vacant house estimation. Although there are various classifications of infrastructure business, for example, life infrastructure business such as communication infrastructure such as telephone network and communication network can be mentioned in addition to water supply and sewerage and broadcast reception.

The real estate transaction guidance system 1 includes a management server 10, a terminal 20, a terminal 30, and a terminal 40. FIG. The management server 10 and terminal 20 , the management server 10 and terminal 30 , and the management server 10 and terminal 40 are connected via network 50 .

The terminal 20 is a device of a consumer, user, or user (hereinafter referred to as a user) related to infrastructure business, and is located in a residential building together with the telephone T20.
The terminal 30 is a device of an infrastructure business supplier, provider, or operator (hereinafter referred to as an operator). The operator has a telephone T30 for communicating with the user's telephone T20.
The terminal 40 is a device of a trader who conducts real estate transactions, such as real estate purchase transactions and real estate brokerage transactions. The trader has a printer P40 for performing various printing from the terminal 40. FIG.

The management server 10 of the real estate transaction guidance system 1 acquires information on second-hand houses such as second-hand condominiums, and also acquires information on contracts and usage conditions for gas, electric power, water supply, telephone, communication, etc. in the second-hand houses. More specifically, the information on second-hand houses described above may be obtained from a database of housing information or the like, or may be obtained automatically or manually from information published on the Internet or the like.
Pre-owned homes here are residential buildings that are currently occupied by residents, and do not include residential buildings that have been unoccupied since the time of construction. To explain further, pre-owned houses include cases where the current resident has lived in the house since the time of construction, and cases where there was a previous resident before the current resident. Also, a newly built condominium for which a sales contract has not been concluded even after a predetermined number of years have passed since construction is called a new and old condominium, but such a new and old condominium is not included in second-hand housing.

Based on the acquired information, the management server 10 acquires information estimating real estate that is likely to be vacant at present or in the near future in response to an instruction from the terminal 40 of the trader. Such estimation is performed by a narrowing process using information such as the above-mentioned infrastructure business contract and information on changes in usage conditions. Narrowing information, which is information used for such narrowing-down processing, may be obtained directly from the user's terminal 20, and part or all of the information input to the user's terminal 20 may be transmitted via the operator's terminal 30. Alternatively, part or all of the information notified to the business operator by telephone or the like from the user without going through the terminal 20 may be directly acquired from the terminal 30 of the business operator.
In addition, the management server 10 outputs the estimated information obtained by the narrowing process to the terminal 40 as candidates for real estate transaction partners.

The management server 10 is implemented by, for example, a computer. The management server 10 may be configured by a single computer, or may be implemented by distributed processing by a plurality of computers. The management server 10 is an example of an information processing device.

The terminal 20 is, as described above, a device of the user of the infrastructure business, and is realized by, for example, a PC (Personal Computer) or the like.
As described above, the terminal 30 is a device of an infrastructure business operator, and is realized by a PC or the like, for example. Businesses include, for example, a gas business that supplies gas and an electric power business that supplies electric power. Such gas companies and power companies can be called service providers.
The terminal 40 is, as described above, a device of a real estate transaction dealer, and is realized by, for example, a PC. Traders include real estate purchasers and real estate brokers.

In the first embodiment, a configuration example in which the terminal 30 and the terminal 40 are devices different from each other is adopted. good too. In addition, in the first embodiment, a configuration example in which the management server 10 and the terminal 40 are different devices is adopted, but the configuration is not limited to this, and a configuration example in which the management server 10 and the terminal 40 are the same device is adopted. You may
Furthermore, in the first embodiment, the configuration example in which the management server 10, the terminal 30, and the terminal 40 are different devices is adopted. You may employ|adopt the structural example which is this.

The network 50 used for the connection between the management server 10 and the terminal 20, the connection between the management server 10 and the terminal 30, and the connection between the management server 10 and the terminal 40 can be of any type if data transmission/reception is possible. is not particularly limited, and may be, for example, the Internet, LAN (Local Area Network), WAN (Wide Area Network), or the like. A communication line used for data communication may be wired or wireless. Further, the configuration may be such that each device is connected via a plurality of networks 50 or communication lines.

<Hardware configuration example>
FIG. 2 is a diagram showing a hardware configuration example of the management server 10 and the terminals 20 to 40. As shown in FIG.
As shown in FIG. 2, each of the management server 10, the user's terminal 20, the business operator's terminal 30, and the trader's terminal 40 is a CPU (Central Processing Unit) 100a, which is computing means, and a main storage means. and a memory 100c. Each device also includes, as external devices, a magnetic disk device (HDD: Hard Disk Drive) 100g, a network interface 100f, a display mechanism 100d, an audio mechanism 100h, and an input device 100i such as a keyboard and mouse.

The memory 100c and the display mechanism 100d are connected to the CPU 100a via the system controller 100b. Also, the network interface 100f, the magnetic disk device 100g, the audio mechanism 100h and the input device 100i are connected to the system controller 100b via the I/O controller 100e. Each component is connected by various buses such as a system bus and an input/output bus.

A program for realizing each function is stored in the magnetic disk device 100g. Various functions are realized by loading this program into the memory 100c and executing processing based on this program by the CPU 100a.

<Functional configuration of management server>
Next, the functional configuration of the management server 10 will be described.
FIG. 3 is a diagram showing a functional configuration example of the management server 10. As shown in FIG.
The management server 10 includes a transmission/reception unit 11 , an acquisition unit 12 , a narrowing processing unit 13 , a vacant house possibility information acquisition unit 14 , and an output unit 15 .

The transmitting/receiving unit 11 is a network interface for connecting with the user's terminal 20, the business operator's terminal 30, and the trader's terminal 40 via the network 50 (see FIG. 1). As a result, the management server 10 exchanges data with the terminals 20-40.

The acquisition unit 12 acquires information necessary for the narrowing processing unit 13 to narrow down the vacant house possibility information. That is, the acquisition unit 12 acquires customer attribute information (customer information) stored in the business operator's terminal 30 (see FIG. 1), which is contracted customer information (customer information), and a plugging request customer list, which will be described later, from the terminal 30. Acquired via the network 50 (see FIG. 1). The acquisition unit 12 also acquires a condominium list, which will be described later, via the network 50 . The acquisition unit 12 may also acquire data of a list of condominiums for sale.
Furthermore, the acquisition unit 12 acquires a narrowing condition (for example, see FIG. 5), which will be described later.

In this way, the acquisition unit 12 acquires information necessary for acquiring vacant house possibility information based on the population, which is the user information. The population referred to here is a group of customers specified by information on customers from whom information on contracts or usage of infrastructure projects can be obtained. The population includes attribute information such as the contractor's name, address (address), and contractor number. In addition to all contractors, the population may also be contractors whose contract or usage status has changed among all contractors.

Customer attribute information is an example of infrastructure business contractor attribute information. The closing request customer list, the condominium list, and the narrowing conditions (see FIG. 5), which will be described later, are examples of conditions for the attribute information of infrastructure business contractors. The condominium list and narrowing-down conditions are examples of conditions related to the building specified by the contract and/or the address of the contractor. An example of the narrowing-down condition is that the attribute information includes information indicating that the number of years of the contract is equal to or greater than a predetermined value. In addition, the narrowing condition is an example that the attribute information includes information indicating that the building age of the building is equal to or greater than a predetermined value, and the attribute information includes that the building is a condominium building. This is an example of including information specifying the The contractor number or the name of the contractor is an example of information that identifies the contractor.

The narrowing processing unit 13 of the management server 10 acquires vacant house possibility information narrowed down from the population by performing data analysis of the population using the narrowing conditions (see FIG. 5) and the like. Such a narrowing condition (see FIG. 4) is a condition indicating how to narrow down the population using a plurality of pieces of narrowing information, and the details will be described later.

The vacant house possibility information acquisition unit 14 acquires, as vacant house possibility information, the results of narrowing processing performed for each of a plurality of preset narrowing conditions by the narrowing processing unit 13 . As will be described later, the vacant house possibility information includes, for example, information indicating a room, which is a unit for sale in a second-hand condominium, and is a candidate for a real estate transaction sales destination.
The vacant house possibility information referred to here is information that has the potential to become a vacant house that no one will live in based on the infrastructure project contract or usage status, such as information on properties that can be subject to real estate transactions due to moving, etc. Includes information on contractors for infrastructure projects who may sell their homes.

The output unit 15 outputs the vacant house possibility information acquired by the vacant house possibility information acquisition unit 14 as a candidate for a business destination for real estate transactions. The output destination is the trader's terminal 40, and is performed via the network 50 (see FIG. 1).

Here, the vacant house possibility information acquiring unit 14 of the management server 10 is an example of acquiring means. Also, the vacant house possibility information acquisition unit 14 and the acquisition unit 12 constitute an example of an acquisition function. The output unit 15 is an example of output means.
The narrowing down processing unit 13 is an example of processing means and an example of a processing function.

The term “real estate transaction business” is a concept that includes real estate brokerage business and real estate purchase business. In other words, "real estate transaction business" includes real estate purchases in which a real estate agent purchases a real estate that an owner intends to sell, and real estate brokerage in which a real estate agent finds a buyer for the real estate. The first embodiment is a system for approaching the owner of a second-hand property before he or she expresses his/her intention to sell to a real estate agent. Since there is no significant difference between the two cases, the case of real estate purchase will be explained below, and the explanation of the case of real estate brokerage will be omitted.
Second-hand properties include housing complexes such as condominiums as residential buildings, as well as detached houses for sale, but the following description is for condominiums.

FIG. 4 is a flowchart for explaining real estate transaction guidance, and is an example of processing when the infrastructure business is the gas business. Gas companies shall be able to supply electric power.
As shown in the figure, the management server 10 acquires condominium information including condominium name or building name, location, building year or month, number of floors, etc. from the Internet or the like in advance. The unit 12 (see FIG. 3) acquires and creates a condominium list (step 101).

The acquisition unit 12 (see FIG. 3) of the management server 10 receives a customer's gas shut-off request from the business operator's terminal 30 (see FIG. 1) via the network 50 (see FIG. 1) (step 102). The customer's gas shut-off request is made together with information such as the contractor's name, contact information, desired date of shut-off, and the like.

Here, the closing request is mainly accepted by telephone reception from the user's telephone T20 (see FIG. 1) to the business operator's telephone T30 (see FIG. 1), or Web application by the user's terminal 20 (see FIG. 1). will be received by Web acceptance at the business operator's terminal 30 (see FIG. 1). The received closing request is transmitted to the transmission/reception unit 11 (see FIG. 3) of the management server 10 via the network 50 (see FIG. 3). The above-mentioned telephone reception is telephone blocking. In addition, Web reception is a case of closing by application on the Web.

The term “stopping request” here refers to a gas plugging request for stopping the use of gas, but is not limited to this. may include cases.
In addition to the case of moving, the closing request includes cases such as long-term absence such as being away for a while.
In addition, it is assumed that the closing request is made with a postcard in a predetermined format, and in the case of such a postcard, it can be processed according to the telephone closing described above.

Then, using the received information on the plugging request, the acquisition unit 12 (see FIG. 3) creates a plugging request customer list, which is a list of customers who have made the gas plugging request (step 103). The closing-requesting customer list contains both the above-described telephone closing and Web closing as distinguishable information.
The closing request customer list is information of customers who made contact to close the gas, and is an example of information of people's actions when the house becomes vacant. It should be noted that the closing request customer list may not include customers who are in arrears.

The acquisition unit 12 (see FIG. 3) acquires customer attribute information held by the business via the network 50 (see FIG. 1) (step 104). Such customer attribute information includes energy consumption retail information held by business operators, such as gas retail information and electricity retail information.
To explain further, the customer attribute information may be the attribute information of the customers in the closing request customer list among all the customers owned by the business operator, or the attribute information of all customers regardless of the closing request customer list. In addition to the case, for example, customer attribute information classified by business area may be used. Incidentally, the business area referred to here may be limited to, for example, an area with a relatively large number of condominiums.

Then, the narrowing down processing unit 13 (see FIG. 3) performs the narrowing down processing using the condominium list, the closing request customer list, and customer attribute information (step 105). Vacant house possibility information that may become a vacant house in which people no longer live is acquired by such a narrowing process.
Note that the order of creating or acquiring the list of condominiums, the list of customers requesting closure, and the attribute information of customers in FIG. 4 is an example, and other orders may be used.

The vacant house possibility information in the first embodiment is based on a closing request customer list, is an example of information based on information on a person's actions when the house becomes vacant, and is an example of information on service suspension.

In the narrowing process of step 105, for example, it is conceivable to narrow down the customers in the closing request customer list based on the customer's attribute information, based on the property whose address etc. is in the condominium list. In addition, it is also possible to narrow down by building age over a predetermined value from the information on the condominium list, and by narrowing down by energy contract years over a certain amount from customer attribute information. be done. Details will be described later.

If there is a request to open the door after the request to close the door, a new customer number is assigned regardless of whether the contractor is the same or not, but it is excluded from the vacant house possibility information based on the customer's address etc. It is conceivable to perform such processing.

The output unit 15 (see FIG. 3) outputs the vacant house possibility information acquired by the narrowing process to the terminal 40 (see FIG. 1) of the trader (step 106). As a result, the management server 10 presents candidates for real estate transaction business destinations to the terminal 40 of the trader before the property, which is estimated to be highly likely to be vacant at present or in the near future, becomes apparent. make it possible to

At the terminal 40 of the trader, the vacant house possibility information from the management server 10 (see FIG. 1) can be displayed on the display device and printed by the printer P40 (see FIG. 1). More specifically, printer P40 prints a call list for traders to make sales calls to real estate owners for real estate transaction sales.

To explain further, in the first embodiment in which the possibility of a vacant house is determined using the information of the closing request from the customer, the vacant house possibility information is output in the form of a call list showing the telephone numbers of business destinations. will be In other words, a call list is created for customers who requested to close the plug. This is because, not only in the case of telephone closing but also in the case of web closing, when receiving a closing request, a telephone number that can be contacted at a later date is obtained.
In addition, even in the case of the first embodiment, a DM list may be created for customers requesting closure. That is, the printer P40 may print a destination list for sending direct mails, or insert and print a destination on an envelope for sending sales materials for real estate transactions.

Here, narrowing conditions for narrowing down processing will be described.
FIG. 5 is a diagram for explaining narrowing-down conditions, and shows an example thereof. A narrowing-down condition is an example of a condition for attribute information.
As such narrowing-down conditions, for example, information such as the age of the building, the difference between the Web/telephone connection, the contract period, or a combination thereof is used.

The building age referred to here is narrowed down to properties that have passed a certain number of years since completion, and properties that have just been completed are excluded.
Compared to newly built properties, the asset value of newly built properties, which are only a few years old, has not declined significantly, and there are not many properties available for sale. On the other hand, for second-hand properties that have passed a certain number of years, it is possible to further increase the asset value by renovating them to standard specifications. In addition, it is possible to reflect, to some extent, whether or not a building meets the new seismic standards, and the characteristics of a building that does not use asbestos, depending on the age of the building. In addition, since the new earthquake resistance standards apply to buildings whose construction confirmation date is after June 1, 1981, the upper limit of building age is set from the viewpoint of whether or not the new earthquake resistance standards are applied. be able to.

The difference between web closure/telephone closure is a method of requesting closure, and by distinguishing between web closure and telephone closure, added value as sales materials can be increased. To give an example, in the case of web blocking, it is estimated that the proportion of young people is generally relatively high, and in the case of telephone blocking, it is estimated that the proportion of elderly people is generally relatively high. .
In the case of web closures, it is estimated that the percentage of people who are good at collecting information on the Internet is high. It is believed that there is. In addition, it is considered that there is a high business affinity when conducting telephone sales of real estate transactions to customers who are closed by telephone.
We have explained the distinction between turning off the gas on the web and turning off the telephone, but there are both the web and the telephone for turning off the use of electricity.
To explain further, in some cases requests for turning on gas and starting to use electricity can be made not only by telephone but also on the Web. For this reason, since there is a certain percentage of customers who request both when to start energy and when to stop energy, it is possible to find groups with high sales efficiency by advertising real estate transactions online. can be done.

Including the contract period as a narrowing down condition is that in the case of rentals, there is a tendency to move out and cancel the energy contract at the time of contract renewal or shortly before the contract renewal. This is to increase the ratio of actual demand projects by excluding customers with short energy contracts, as it is highly likely that the energy consumption will be shorter than for residents of condominiums.
The contract period referred to here may include, in addition to the contract for gas, a contract for other than gas, such as electricity. Due to the liberalization of electric power, even gas companies have attribute information of customers who have contracts for both gas and electric power or only for electric power.

A specific description will be given with reference to FIG.
In (1) and (2) of FIG. 5, the narrowing down condition is a combination of building age and contract period. That is, in the case of (1), it is "15 years old or more and the contract period is 3 years or more", and in the case of (2), it is "10 years or more and the contract period is 3 years or more". As a result, the group can be narrowed down to a group that is highly likely to include condominiums that are relatively old and that can further increase the asset value of the property.
Note that the contract period in (1) to (2) above is the contract period for gas, and is different from, for example, (10) to (11) described later, which also includes the contract period for electric power.

In addition, for condominiums, there are so-called cases of actual demand where the purchaser or related parties reside, and so-called investment cases where the purchaser or related parties do not live in and rent out, but it is difficult to narrow down to actual demand. be.

In (3) to (6) of FIG. 5, the narrowing down condition is a combination of the building age, the contract period, and the closing request method. In other words, there are four combinations of "contract period of 3 years or more", building age of "5 years or more" and "15 years or more", and closing request method of "web closing" and "telephone closing". (3) to (6) above.

To explain further, in the case of (3) to (4) above "15 years or more and contract period of 3 years or more", in addition to the case of residents who have been living since the time of new construction, due to subsequent sales etc. The case of a new resident whose resident has changed may also be included.
On the other hand, in the case of (5) to (6) above, “5 years or more and contract period of 3 years or more”, compared to (3) to (4) above, it is easier to move in from the time of new construction higher percentage of residents living in Also, assuming that condominiums tend to be sold within 10 years rather than over 10 years old, in the case of (5) to (6) above, the building must be at least 5 years old. Therefore, it can be expected that the percentage of customers who are thinking of selling their current condominium for sale will be higher than the above (3) to (4) by combining with the information on the closing request.

In (7) to (8) of Fig. 5, "five years old or more and contract period of four years or more" is narrowed down separately when the closing request method is "web closing" and "telephone closing". ing. Since the difference between the building age and the contract period is smaller than in the above cases (5) to (6), the percentage of residents who have moved in from the time of the new construction is even higher. In general, the number of times people experience buying and selling real estate in their lives is not many. ) to (6).

(9) in FIG. 5 is "15 years or more in building year and 5 years or more in contract period" in the case of "Web closure", and the threshold for contract period is two years longer than in (3) above. As a result, residents of rental apartments are excluded more than in the case of (3) above, and it is expected that the ratio of actual demand projects will be increased. In addition, since the above-mentioned (9) requires "Web closure" as a condition, it is conceivable that the effect of Internet advertisement is high as described above.

(10) to (11) in FIG. 5 show customers with a contract period of 3 years or more and a gas contract and an electric power contract among the customers who are ``five years old or more and have a contract period of 3 years or more''. ” and the case of “telephone blocking” are narrowed down separately.
The above (10) to (11) are cases of contractors who are not only gas contracts but also electric power contracts due to the liberalization of electric power. In general, customers who have contracts for gas and electricity with gas suppliers have a higher level of trust in gas suppliers than customers who have contracts for only one of them. It can be expected that a high percentage of people will be interested in listening to the explanation until the end when conducting telephone sales of real estate transactions using the name of the gas company.

To explain further, since the building age and contract period of (10) to (11) above are the same as (5) to (6) above, the above (5) and (10) or the above By combining (6) and (11), it is possible to list customers who only have gas contracts, customers who have both gas and electric power contracts, and customers who only have electric power contracts. In the case of a customer who only has an electricity contract, it is highly likely that the property is an all-electric property.
Also, if you have a power contract, the gas is turned off, but if you have a power contract, you may still return to your home regularly, but it is likely that the house will become vacant in the future. . If the contract for both electricity and gas ends, it is highly likely that the apartment is currently presumed to be vacant.

(12) to (13) in Fig. 5 narrow down "2 years or more in building year and 2 years or more in contract period" depending on whether the closing request method is "web closing" or "telephone closing". ing. Since the year of construction and the contract period are the same, the percentage of residents who have moved in from the time of new construction is even higher than in (7) to (8) above.

(14) to (15) in FIG. 5 narrow down "power contractors with a contract period of less than 2 years" depending on whether the method of requesting closing is "web closing" or "telephone closing". . The above (14) to (15) differ from the above (12) to (13), which are gas contractors, in that they do not include the age of the building and that they are electric power contractors, so they have different viewpoints. You can narrow down by conditions.

(16) to (17) in Fig. 5 narrow down "12 years old or more and 3 years or more contract period" depending on whether the closing request method is "web closing" or "telephone closing". ing. The number of hits is greater than in the above cases (3) to (4) where the building is 15 years or older.

Here, when providing guidance on real estate transactions of second-hand properties using customer attribute information, if there are many gas contractors as customer information, it is not possible to uniformly provide guidance on real estate transactions to gas contractors. Since it is assumed that the ratio of contractors who are thinking of selling real estate to the number of contractors is not high, it will be difficult to efficiently conclude contracts.
Therefore, in the first embodiment, the customer attribute information is narrowed down with a closing request customer list, a condominium list, and narrowing down conditions, thereby reducing the noise of contractors who are not considering selling real estate. Information can be obtained. For this reason, it is assumed that the vacant house possibility information includes a high percentage of owners of the properties before the information on the properties for sale is known to unspecified persons.

In addition, sales of real estate transactions in which information on the possibility of vacant houses is used as a list of sales destinations for real estate transactions makes it possible to approach sales property information in a different way than before, and sales property information is unknown. To enable sales of real estate transactions to property owners at a stage before being known to a specific person.
In addition to the case where the gas company itself uses the output vacant house possibility information to sell real estate transactions to its customers, the vacant house possibility information is provided to the real estate transaction company, and the real estate transaction company receives the vacant house possibility information. It is also possible to conduct real estate transaction sales to real estate owners included in

Various conditions other than those shown in FIG. 5 are conceivable as the narrowing-down condition. For example, various business activities, periodic inspections (electrical equipment inspections, gas periodic safety inspections), equipment repairs, etc. This is a narrowing-down condition based on (an example of a period after the most recent point of contact that is traced back). In addition, various equipment (things sold or provided by electricity, gas, telecommunications carriers and installed in the house (e.g., terminal equipment, gas alarm)), etc. An example of a period) is a narrowing-down condition.
Furthermore, for example, in addition to statistical information on demographic changes such as the population outflow rate from the national census conducted to grasp the actual situation of people and households in Japan, statistical information such as the number of each age group and the ratio of household composition (people and/or households) or (an example of statistical information on households) is used as a narrowing-down condition according to the area in which the building is located. Note that such statistical information may focus on variations in the same area by comparing statistics from a plurality of survey periods, or may focus on differences from comparison of areas in statistics from a single survey period.

In addition, if the condominium list includes information indicating room size and/or floor plan, it is determined whether the property has high circulation based on the room size (m ² ) and floor plan information, and prioritized. May be used for flagging and filtering. For example, it is conceivable to set priority flags for 50 m ² to 80 m ² , which are popular as actual demand, and to narrow down the priority to studio rooms of 30 m ² or less.
In addition, if the list of condominiums includes information indicating the nearest station and information indicating the distance from the nearest station directly or indirectly, such as address information such as walking distance information, the nearest station name and walking distance information It may be used for flagging and narrowing down by judging whether the property has high circulation. For example, since Yokohama station has multiple lines and is popular as the nearest station, it is conceivable to flag and narrow down with priority. In addition, for example, since it is assumed that a 25-minute walk from the nearest station will use a bus (bus area) and circulation is low, it is conceivable to narrow down by lowering the priority.
Furthermore, if the condominium list contains information on past real estate transactions, past real estate transaction data (including external information) shows that the profit margin per transaction is large from the contract price (or unit price per tsubo). Properties with high operating efficiency may be identified.

In addition, customer attribute information includes contract information with energy companies and other service contract information that can be confirmed (an example of information indicating multiple types of infrastructure business contracts) as conditions related to contractor contracts. In this case, priority flagging and narrowing may be performed based on the type and number of contract information. For example, customers who have (or had) contracts for electricity in addition to gas are highly loyal to the energy company, and are likely to have high sales efficiency. can be considered. In addition, it is conceivable to do the same when contracting with ancillary services developed by an energy company.

In addition, if the customer's attribute information includes the past energy usage status, the reason for the energy stop may be estimated based on the past energy usage status, and priority flagging and narrowing may be performed. For example, if the amount of energy used is extremely low for several months before the energy use is stopped, it is assumed that the occupants of the unit have left for some reason and that this is an inherited pattern, and priority flagging and narrowing down are performed. you can go In other words, when there is a change in the energy usage trend and the change is a decrease in the amount of usage, it is conceivable to set a priority flag or narrow down the items as a potential sale item. Information indicating a decrease in usage is an example of information regarding changes in service usage.

Furthermore, when the customer attribute information includes information indicating the relationship between the energy contractor and the energy suspension applicant, such as when the relationship between the contractor and the applicant is different, especially when the last name is the same and the relationship is a child , since there is a high possibility that it is an inherited building, priority flagging and narrowing down may be performed. In other words, when receiving a request to turn off the gas from a person other than the contractor, if that person has a family relationship such as being a relative of the contractor, it will be given priority as a possibility of an inherited case. It is conceivable to set up flags and narrow down. Relatives here refer to blood relatives within the sixth degree of kinship, spouses, and relatives by affinity within the third degree of kinship.

<Second Embodiment>
Next, a second embodiment will be described with reference to FIGS. 6 and 7. FIG. In the above-described first embodiment, vacant house estimation is performed using the information of the customer's request to close or stop the use of energy. Vacant house estimation is performed using the information on changes in volume.
In the description of the second embodiment, the description and illustration of the same items as in the above-described first embodiment may be omitted or simplified.

FIG. 6 is a flowchart for explaining real estate transaction guidance according to the second embodiment, and corresponds to FIG. 4 in the first embodiment.
In the processing example shown in FIG. 6, a condominium list is created based on the condominium information acquired by the acquisition unit 12 (see FIG. 3) (step 201).

The acquisition unit 12 (see FIG. 3) of the management server 10 receives the information on the customer whose energy consumption has changed from the business operator's terminal 30 (see FIG. 1) via the network 50 (see FIG. 1) (step 202). ).

Here, the business operator's terminal 30 acquires energy consumption information through monthly meter reading. By confirming such energy consumption, it is possible to extract customers with a predetermined change in energy consumption.
To explain further, if there is a decrease in energy consumption, including zero, it is assumed that, for example, the proportion of time not occupied will increase, or that life patterns will be different from before. be done. There are various possible causes for this, but energy consumption tends to decrease when there is a plan to move house. Therefore, by extracting customers whose energy consumption has changed on the most recent meter-reading date, it is possible to acquire information that can be substituted for the information on the closing request in the first embodiment.
Therefore, the acquisition unit 12 (see FIG. 3) of the management server 10 creates a consumption change customer list using the information of customers whose energy consumption has changed (step 203). The consumption change customer list is information on customers who have decreased gas or electricity consumption (including cases where there is no consumption), and is an example of information on people's inaction when the house becomes vacant.

The vacant house possibility information in the second embodiment is based on the consumption change customer list, and is an example of information based on information on people's inaction when the house becomes vacant. It is an example of information based on changes in energy usage trends.

The acquisition unit 12 acquires the customer attribute information held by the business operator (step 204), and the narrowing processing unit 13 (see FIG. 3) performs narrowing processing using the condominium list, consumption change customer list, and customer attribute information. (step 205). Such a narrowing process can be performed in the same manner as in step 105 in the first embodiment described above.

The output unit 15 (see FIG. 3) outputs the vacant house possibility information acquired by the narrowing process (step 206).
In addition, for customers extracted as having a change in energy consumption, a DM list is created and output instead of a call list. This is for the following reasons.
In other words, it is considered that the percentage of customers who have changed their energy consumption is due to long-term absence compared to the case of requests to close the tap. For example, when a resident enters a facility or is hospitalized and energy consumption changes, it is difficult to contact the resident by telephone. On the other hand, it is assumed that the resident's separated family members may apply for a mail forwarding service or regularly check the mail. Also, even if the resident has a mobile phone at hand, it is better not to contact them during hospitalization. Therefore, a DM list is created instead of a call list.
Note that a call list may be created for customers extracted as having a change in energy consumption.

More specifically, FIG. 7 shows (a) to (c) the same customer's consumption, (a) is an example of gas consumption in March according to the latest meter reading, and (b) is Last year's monthly consumption, (c) shows another example of March's gas consumption according to the latest meter reading, respectively. For reference, for March (a) and (c), the gas consumption in March (b) is indicated by a dashed line.

Figures 7(a) to (c) show the monthly gas consumption of customers using gas heating. For this reason, there is a seasonal variation in which gas consumption is relatively high from around December to March when it gets cold, and gas consumption is low at other times when gas heating is not used. In addition, the amount of gas consumed to make hot water for daily use also fluctuates seasonally, with the amount of gas consumed increasing during colder months. Therefore, the annual gas consumption fluctuates as shown in FIG. On the other hand, although the amount of gas consumed fluctuates due to whether it is colder than usual or not, the trend of annual gas consumption remains unchanged.

However, if gas consumption is lower than usual or there is no gas consumption, factors other than seasonal fluctuations are assumed. Therefore, by focusing on the change in gas consumption from the previous year, it can be estimated that the move has been completed or that there is a plan to move in the near future.

A specific description will be given below.
In January and February of this year shown in FIG. 7(a), no significant change can be confirmed compared to January and February of last year shown in FIG. 7(b). On the other hand, the gas consumption in March of this year decreased compared to March of last year shown in (b).
Further, no significant changes can be confirmed in January and February of this year shown in FIG. 7(c) compared to January and February of last year shown in FIG. 7(b). On the other hand, there is no gas consumption in March this year, and gas is not consumed.

In this way, changes in the gas usage trend can be seen in the gas consumption shown as March in (a) and (c) of the figure. Extraction of customers with changes in gas consumption indicates cases in which gas consumption has decreased compared to the corresponding period in the past, and cases in which there was gas consumption in the corresponding period in the past but this year's gas consumption has increased. It is done even if it is not.

In this way, by comparing the gas consumption with the corresponding period in the past, even if there is a period of absence such as a long business trip in a year, it is possible to cope with the decrease due to seasonal factors, etc., and estimate the vacant house. It is possible to prevent a situation in which the accuracy of is lowered. The case shown in FIG. 7 is applicable to customers whose contract period is one year or longer.

Here, a case different from the case of FIG. 7 will be described.
In other words, if the gas heater is not used during the cold season or if the bathroom is not used much throughout the year, the gas consumption is almost constant throughout the year. Therefore, if the gas consumption was normal until last month, but the gas consumption for this month according to the most recent meter reading has decreased compared to the previous month, or if there is no gas consumption for this month, the gas consumption will change. You may make it extract as a customer who had the change of .

The consumption change customer list in the second embodiment corresponds to the vacant house possibility information used in the narrowing process of the narrowing process unit 13 (see FIG. 3) in the first embodiment. Moreover, the extraction conditions described above correspond to the narrowing conditions used in the narrowing process.
In the second embodiment, the case of gas consumption has been described, but the present invention is not limited to this, and can be applied to power consumption, water usage, communication volume, call volume, and the like.

<Third Embodiment>
Next, a third embodiment will be described with reference to FIG. Unlike the first and second embodiments that use information on energy consumption, the third embodiment detects the resident's return home status using, for example, location information of a mobile phone, Empty house estimation is performed by
In the description of the third embodiment, the description and illustration of the same items as in the above-described first and second embodiments may be omitted.

FIG. 8 is a diagram showing an example of the overall configuration of the real estate transaction guidance system 1 according to the third embodiment, which corresponds to FIG. The same reference numerals are used for the same configurations as in the second embodiment.
A real estate transaction guidance system 1 according to the third embodiment includes a management server 10 , a terminal 90 , a mobile terminal 70 and a mobile terminal 80 . Management server 10 and terminal 90 are connected via network 50 . Mobile terminals 70 and 80 are connected to network 50 via access point 60 for wireless communication. 8, illustration of the terminal 40 of the trader is omitted.

The mobile terminals 70 and 80 are, for example, mobile terminals such as mobile computers, mobile phones, smart phones, and tablets. The mobile terminal 70 is owned by a customer who has a contract with the telecommunications carrier, and the mobile terminal 80 is owned by another customer who has a contract with the telecommunications carrier.

The terminal 90 is a device of a telecommunications company that provides communications as an infrastructure business, and holds the identification information “abc001” of the mobile terminal 70 and the identification information “abc002” of the mobile terminal 80 . In addition, the terminal 90 periodically acquires location information indicating the location of the customer of the mobile terminals 70 and 80 .

To explain further, the terminal 90 of the telecommunications carrier has in advance the address information of each customer of the mobile terminals 70 and 80, and can acquire the location information of the customer's house from the address information. . That is, the terminal 90 acquires the information of the latitude “00; . Also, the latitude “ΔΔ;ΔΔ;ΔΔ” and the longitude “▽▽;▽▽;▽▽” are acquired as home location information associated with the mobile terminal 80 .

Terminal 90 of the telecommunications carrier can detect whether the customer of portable terminal 70 is at home or not by comparing the home position information of portable terminals 70 and 80 with the current position information. It can be detected whether the customer of the terminal 80 is at home or not.
Therefore, by using the time information, the terminal 90 of the carrier can measure how long the position information of the portable terminals 70 and 80 is different from the position information of the home.

At the point in time shown in FIG. 8, the mobile terminal 70 whose identification information is "abc001" has been out of the house for 5 hours and 33 minutes, and has left home on the day. can be detected.
On the other hand, the mobile terminal 80 whose identification information is “abc002” has been out of the house for 156 hours and 12 minutes, and has left home about a week ago. not back to
Therefore, based on the information that the terminal 90 of the telecommunications carrier has not returned home for a predetermined period of time, it can be estimated that the customer of the portable terminal 80 has moved or lives elsewhere. That is, in the third embodiment, by using the condition that the customer has not returned home for a predetermined period of time, it is possible to extract customers who have moved or are living elsewhere.

The carrier's terminal 90 lists such estimated information. That is, using the position information of the portable terminal 80, a list of customers who have not returned home is created. The homeless customer list includes customer address information and is transmitted to the management server 10 . As a result, the management server 10 corresponds to the closing request customer list in the first embodiment (see step 103 in FIG. 4) and the consumption change customer list in the second embodiment (see step 203 in FIG. 6). It can be used as information to
Therefore, in the third embodiment, instead of the closing request customer list in the first embodiment, the homeless customer list is used. That is, it is possible to acquire vacant house possibility information through the narrowing process using the list of customers who have not returned home (see step 105 in FIG. 4), and to output the acquired vacant house possibility information (see step 106 in FIG. 4). .

Compared to the first and second embodiments, the third embodiment is considered useful when the customer lives alone, but it can also be used when the customer lives with his family. can be considered.

The list of customers who do not return home in the third embodiment corresponds to the list of closing request customers used in the narrowing process of the narrowing process unit 13 in the first embodiment. Further, the extraction condition that the user has not returned home for a predetermined period of time corresponds to the narrowing-down condition used in the narrowing-down process, and an arbitrary value can be set as the predetermined period.

Here, the refusal customer list in the third embodiment is an example of information on actions or omissions of people when the house becomes vacant. This is an example of information indicating that the location information of the house where the user lives is not included.

<Modification>
Vacant house possibility information may be obtained by any combination of the first embodiment, the second embodiment, and the third embodiment described above. By adopting such a modified example, it is possible to improve the accuracy of the vacant house possibility information as compared with the case of each embodiment alone.
For example, by using a list of customers included in both the closing request customer list (see step 103 in FIG. 4) and the consumption change customer list (see step 203 in FIG. 6), the accuracy of the vacant house possibility information can be determined. can be enhanced.

A program that implements an embodiment of the present invention is stored in a computer-readable recording medium such as a magnetic recording medium (magnetic tape, magnetic disk, etc.), an optical recording medium (optical disk, etc.), a magneto-optical recording medium, or a semiconductor memory. can be provided as is. Moreover, it is also possible to provide using communication means, such as the internet.

As described above, the management server 10 according to the present embodiment can be a vacant house that is likely to be vacant and no longer live in based on the contract or usage status of the infrastructure business such as the gas business, the electric power business, and the communication business. A vacant house possibility information acquisition unit 14 (see FIG. 3) that acquires property information, and an output unit 15 (see FIG. 3) that outputs the vacant house possibility information acquired by the vacant house possibility information acquisition unit 14 as candidates for real estate transaction business destinations See) and
More specifically, in the first embodiment, the vacant house possibility information is acquired based on the infrastructure project contract, and in the second and third embodiments, based on the usage status of the infrastructure project to acquire vacant house possibility information.

In the first embodiment, the vacant house possibility information is acquired by performing a narrowing process using the condominium list, the closing request customer list, and customer attribute information. The list of customers requesting the closing of the gas is information of customers who have requested the closing of the gas, and is based on a person's act of requesting the closing of the gas when the house becomes vacant.
Further, in the second embodiment, the vacant house possibility information is acquired by performing a narrowing process using the condominium list, consumption change customer list, and customer attribute information. This consumption amount change customer list is a list of customers whose energy consumption amount has changed, and is information of a person's omission to stop consuming when the house becomes vacant.
Furthermore, in the third embodiment, the vacant house possibility information is acquired by performing a narrowing process using a condominium list, a list of customers who did not return home, and customer attribute information. Such a list of customers who do not return home is a list of customers who have not returned home using the position information of the mobile terminal 80, and is information on the inaction of a person who does not return home when the house becomes vacant.

The closing request customer list and the consumption amount change customer list are information related to service suspension or changes in service usage due to reasons on the contractor's side regarding infrastructure projects such as energy. The consumption amount change customer list is information on changes in the amount of use of infrastructure businesses such as energy, and is information on changes in usage trends of infrastructure businesses such as energy. The homeless customer list is information indicating that location information indicating the location of a user who uses communication as an infrastructure business does not include location information of the house where the customer lives.

In addition, in the first embodiment, the narrowing processing unit 13 is further provided for narrowing down the vacant house possibility information under the narrowing conditions for the attribute information of the contractor of the infrastructure business. As a candidate, the result of the narrowing processing by the narrowing processing unit 13 is output.
Such narrowing down conditions (see FIG. 5) include information such as the age of the building, whether the phone is closed/web closed, contract period, etc. Conditions related to the building specified by the contract and/or the address of the contractor is. More specifically, the narrowing-down condition is that the attribute information includes information indicating that the number of years of the contract is equal to or greater than a predetermined value. The narrowing-down condition is that the attribute information includes information indicating that the building age of the building is equal to or greater than a predetermined value. The narrowing-down condition is that the attribute information includes information specifying that the building is a condominium building. Information identifying a condominium building includes information indicating the size and/or layout of the rooms. The information identifying the condominium building includes information indicating the nearest station, and information directly or indirectly indicating the distance from the nearest station. In addition, the information specifying that the building is a condominium building includes information on past real estate transactions.
A condition for the attribute information is that the attribute information includes information indicating a plurality of types of contracts for the infrastructure business as a condition relating to the contractor's contract. Moreover, the condition for the attribute information is that the attribute information contains information indicating that there is a change in the energy usage trend and that the change is a decrease. A condition for the attribute information is that the attribute information includes information indicating the relationship between the person and the contractor when information specifying the contractor is received from a person other than the contractor.
In addition, the narrowing down condition is that the information indicating the period after the most recent point of contact with the building occupants retroactively on the side of the infrastructure business operator is included, and it is also used for the provision by the infrastructure business It contains information indicating the period since the equipment was installed in the living part of the building, and contains statistical information about the people and/or households in the area in which the building is located.

In addition, the program according to the present embodiment acquires information indicating the possibility of becoming a vacant house where people will not live based on the contract or usage status of the infrastructure business such as gas business, electric power business, communication business, etc. and a processing function for narrowing down a group of information indicating the possibility of being acquired by the acquisition function using conditions for the attribute information.

Although the embodiments of the present invention have been described above, the technical scope of the present invention is not limited to the scope described in the above embodiments. It is clear from the scope of claims that various modifications or improvements to the above embodiment are also included in the technical scope of the present invention.

DESCRIPTION OF SYMBOLS 10... Management server, 12... Acquisition part, 13... Narrowing-down process part, 14... Vacant house possibility information acquisition part, 15... Output part

Claims (3)

Acquisition means for acquiring vacant house possibility information that may become vacant due to lack of people living there, except in the case of rental, based on the infrastructure business contract or usage status;
output means for outputting the vacant house possibility information acquired by the acquisition means as a candidate for a business destination for real estate transactions;
with
In the case of rental, it is a property with a low possibility of being an owner or a property with a high possibility of being rented,
The assumption of whether the house is owned or rented includes information indicating that the number of years of the contract is a predetermined value or more in the attribute information as a condition for the attribute information of the contractor of the infrastructure business. and that the attribute information contains information specifying that the building specified by the contract and/or the address of the contractor is a condominium, and that the size of the room is equal to or larger than a predetermined value. and/or that information indicating a floor plan for multiple residents is included or not included, and that the attribute information includes information specifying that the building is a condominium and related to past real estate transactions that the attribute information contains information indicating multiple types of contracts for the infrastructure business as conditions related to the contract of the contractor; There is a change in the energy consumption trend of the current month compared to the corresponding month of the previous year, and the change is a decrease, and the business operator conducting the infrastructure project is the resident of the building. including information indicating the period since the most recent point of contact going back to the past, and including information indicating the period after the time when the equipment used in connection with the provision of the infrastructure project was installed in the residential area of the building. include statistical information about people and/or households in the area in which the building is located;
An information processing device characterized by: 2. The vacant house possibility information according to claim 1, characterized in that said vacant house possibility information is information indicating a property that is estimated to have a high possibility of becoming a vacant house, and is information at a stage before the said property is actualized. information processing equipment. information processing equipment,
Realize an acquisition function that acquires information on the possibility of vacant houses that may become vacant due to the lack of people living there, except in the case of rentals, based on the infrastructure business contract or usage status ,
As a condition for the attribute information of the contractor of the infrastructure business, the attribute information of the contract Identifies that the attribute information includes information indicating that the number of years is greater than or equal to a predetermined value, and that the building specified by the contract and/or the address of the contractor is a condominium. The attribute information includes or does not include information indicating that the size of the room is a predetermined value or more and/or that the floor plan for multiple residents is included or not, Information that specifies that the building is a condominium and includes information on past real estate transactions; Information indicating the type is included, and the attribute information includes information indicating that there is a change in the energy usage trend of a predetermined month with respect to the month of the previous year corresponding to the month, and that the change is a decrease. including information indicating the period since the most recent contact between the operator of the infrastructure project and the occupants of the building in the past, equipment used in connection with the provision of the infrastructure project contain information indicating the period since it was installed in the residential part of the building; contain statistical information about the people and/or households in the area in which the building is located; using
program.

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