Support systems, support methods, and programs

Abstract

To provide a support system, a support method, and a program that can reduce efforts required to lease out a vacant space.SOLUTION: A support system comprises: a people flow analysis information acquisition unit that acquires people flow analysis information obtained through communication between a terminal device owned by a user of a facility and a sensor device installed in the facility; an analysis unit that analyzes a flow of people in the facility based on the people flow analysis information; a detection unit that detects a date and time when an area to be leased out in the facility is available for lease based on an analysis result of the flow of people; and a lease information output unit that outputs lease information indicating details of the area to be leased out for which the date and time available for lease is detected.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present invention relates to a support system, a support method, and a program.

Background Art

[0002] In facilities such as stations, office buildings, and shopping malls, there may be vacant spaces. There is a demand to use these vacant spaces for pop-up stores or events. Therefore, the facility owner can obtain revenue by renting out these vacant spaces for a fee. When renting out a vacant space, the facility owner needs to consider the impact on the passage of facility users.

[0003] For example, based on the flow of people in the facility, the facility owner can determine whether the passage of facility users will be affected when renting out a vacant space. Patent Document 1 below discloses a technique for grasping the flow of customers (flow of people) in a facility by identifying the position of a mobile terminal such as a user's smartphone based on the radio wave intensity from a communication device such as a Wi-Fi (registered trademark) wireless router provided in the facility and periodically storing it.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, since the flow of people in a facility can change due to factors such as time of day and day of the week, even if the flow of people can be grasped by the technique of Patent Document 1, it requires a great deal of labor for the facility owner to find a vacant space that can be rented out considering each factor.

[0006] In view of the above-mentioned problems, the object of the present invention is to provide a support system, a support method, and a program that can reduce the effort required to rent out vacant space. [Means for solving the problem]

[0007] To solve the above-mentioned problems, a support system according to one aspect of the present invention comprises: a human flow analysis information acquisition unit that acquires human flow analysis information obtained through communication between a terminal device owned by a user of a facility and a sensor device installed in the facility; an analysis unit that analyzes human flow in the facility based on the human flow analysis information; a detection unit that detects the date and time when a rental target area in the facility is available for rental based on the results of the human flow analysis; and a rental information output unit that outputs rental information showing the details of the rental target area for which the rental date and time has been detected as available for rental. The detection unit detects the attributes of users passing through the lending area or the vicinity of the lending area based on the results of the analysis of the human flow, and the lending information output unit outputs the lending information including attribute information indicating the detected attributes. Furthermore, a support system according to one aspect of the present invention includes: a human flow analysis information acquisition unit that acquires human flow analysis information obtained through communication between a terminal device owned by a user of a facility and a sensor device installed in the facility; an analysis unit that analyzes human flow in the facility based on the human flow analysis information; a detection unit that detects the date and time when a rental target area in the facility is available for rental based on the results of the human flow analysis; a rental information output unit that outputs rental information showing the details of the rental target area for which the rental date and time has been detected as available for rental; and a prediction unit that predicts sales when a store is set up in the rental target area based on the results of the human flow analysis, wherein the rental information output unit outputs the rental information including sales prediction information showing the predicted sales. Furthermore, a support system according to one aspect of the present invention includes: a human flow analysis information acquisition unit that acquires human flow analysis information obtained through communication between a terminal device owned by a user of a facility and a sensor device installed in the facility; an analysis unit that analyzes human flow in the facility based on the human flow analysis information; a change information acquisition unit that acquires change information indicating information that changes a first degree of congestion; a detection unit that calculates a first degree of congestion in the area to be rented or around the area to be rented in the facility based on the human flow analysis results, calculates a second degree of congestion based on the first degree of congestion and the change information, and detects a date and time when the area to be rented is available based on the second degree of congestion; and a rental information output unit that outputs rental information indicating the details of the area to be rented for which a date and time when a date and time when it is available is detected. Furthermore, a support system according to one aspect of the present invention includes: a human flow analysis information acquisition unit that acquires human flow analysis information obtained through communication between a terminal device owned by a user of a facility and a sensor device installed in the facility; an analysis unit that analyzes human flow in the facility based on the human flow analysis information; a detection unit that calculates a first degree of congestion in the area to be rented or the area surrounding the area to be rented in the facility based on the human flow analysis results and detects a date and time when the area to be rented is available based on the first degree of congestion; a rental information output unit that outputs rental information showing the details of the area to be rented for which a date and time when it is available is detected; and a rental price determination unit that determines the rental price of the area to be rented according to the degree of congestion.

[0008] A support method according to one aspect of the present invention includes: a human flow analysis information acquisition process in which a human flow analysis information acquisition unit acquires human flow analysis information obtained through communication between a terminal device owned by a user of the facility and a sensor device installed in the facility; an analysis process in which an analysis unit analyzes the human flow in the facility based on the human flow analysis information; a detection process in which a detection unit detects the date and time when a rental target area in the facility is available for rental based on the results of the human flow analysis; and a rental information output process in which a rental information output unit outputs rental information showing the details of the rental target area for which the date and time when it is available for rental has been detected. The detection process detects the attributes of users passing through the lending area or its vicinity based on the analysis results of the human flow, and the lending information output process outputs the lending information including attribute information indicating the detected attributes. . Furthermore, a support method according to one aspect of the present invention includes: a human flow analysis information acquisition process in which a human flow analysis information acquisition unit acquires human flow analysis information obtained through communication between a terminal device owned by a user of the facility and a sensor device installed in the facility; an analysis process in which an analysis unit analyzes the human flow in the facility based on the human flow analysis information; a detection process in which a detection unit detects the date and time when a rental target area in the facility can be rented based on the human flow analysis results; a rental information output process in which a rental information output unit outputs rental information showing the details of the rental target area for which a rental date and time has been detected; and a prediction process in which a prediction unit predicts the sales when a store is opened in the rental target area based on the human flow analysis results, wherein the rental information output process outputs the rental information including sales prediction information showing the predicted sales. Furthermore, a support method according to one aspect of the present invention includes: a human flow analysis information acquisition process in which a human flow analysis information acquisition unit acquires human flow analysis information obtained through communication between a terminal device owned by a user of the facility and a sensor device installed in the facility; an analysis process in which an analysis unit analyzes the human flow in the facility based on the human flow analysis information; a fluctuation information acquisition process in which a fluctuation information acquisition unit acquires fluctuation information indicating information that causes a first degree of congestion to fluctuate; a detection process in which a detection unit calculates a first degree of congestion in the area to be rented or the area surrounding the area to be rented in the facility based on the human flow analysis results, calculates a second degree of congestion based on the first degree of congestion and the fluctuation information, and detects a date and time when the area to be rented is available based on the second degree of congestion; and a rental information output process in which a rental information output unit outputs rental information indicating the details of the area to be rented for which a date and time when a date and time when it is available is detected. Furthermore, a support method according to one aspect of the present invention includes: a human flow analysis information acquisition process in which a human flow analysis information acquisition unit acquires human flow analysis information obtained through communication between a terminal device owned by a user of the facility and a sensor device installed in the facility; an analysis process in which an analysis unit analyzes the human flow in the facility based on the human flow analysis information; a detection process in which a detection unit calculates a first degree of congestion in the area to be rented or the area surrounding the area to be rented in the facility based on the human flow analysis results, and detects a date and time when the area to be rented is available based on the first degree of congestion; a rental information output process in which a rental information output unit outputs rental information showing the details of the area to be rented for which a date and time when it is available is detected; and a rental price determination process in which a rental price determination unit determines the rental price of the area to be rented according to the degree of congestion.

[0009] A program according to an aspect of the present invention causes a computer to function as a flow analysis information acquisition means for acquiring flow analysis information obtained by communication between a terminal device possessed by a user of a facility and a sensor device provided in the facility, an analysis means for analyzing the flow of people in the facility based on the flow analysis information, a detection means for detecting a date and time when a lending target area in the facility can be lent out based on the analysis result of the flow of people, and a lending information output means for outputting lending information indicating details of the lending target area for which a lendable date and time has been detected. The detection means detects the attributes of users passing through the lending area or its vicinity based on the results of the pedestrian flow analysis, and the lending information output means outputs the lending information including attribute information indicating the detected attributes. 。 Furthermore, a program according to one aspect of the present invention causes a computer to function as: a human flow analysis information acquisition means for acquiring human flow analysis information obtained through communication between a terminal device owned by a user of the facility and a sensor device installed in the facility; an analysis means for analyzing human flow in the facility based on the human flow analysis information; a detection means for detecting the date and time when a rental target area in the facility is available for rental based on the results of the human flow analysis; a rental information output means for outputting rental information showing the details of the rental target area for which the rental date and time has been detected as available for rental; and a prediction means for predicting sales when a store is set up in the rental target area based on the results of the human flow analysis, wherein the rental information output means outputs the rental information including sales prediction information showing the predicted sales. Furthermore, a program according to one aspect of the present invention causes a computer to function as: a human flow analysis information acquisition means for acquiring human flow analysis information obtained through communication between a terminal device owned by a user of the facility and a sensor device installed in the facility; an analysis means for analyzing human flow in the facility based on the human flow analysis information; a variation information acquisition means for acquiring variation information indicating information that changes a first degree of congestion; a detection means for calculating a first degree of congestion in the area to be rented or around the area to be rented in the facility based on the human flow analysis results, calculating a second degree of congestion based on the first degree of congestion and the variation information, and detecting a date and time when the area to be rented is available based on the second degree of congestion; and a rental information output means for outputting rental information indicating details of the area to be rented for which a date and time when a date and time is available is detected. Furthermore, a program according to one aspect of the present invention causes a computer to function as: a human flow analysis information acquisition means for acquiring human flow analysis information obtained through communication between a terminal device owned by a user of the facility and a sensor device installed in the facility; an analysis means for analyzing human flow in the facility based on the human flow analysis information; a detection means for calculating a first degree of congestion in the area to be rented or the area surrounding the area to be rented in the facility based on the human flow analysis results, and detecting a date and time when the area to be rented is available based on the first degree of congestion; a rental information output means for outputting rental information showing details of the area to be rented for which a date and time when a date and time is available is detected; and a rental price determination means for determining the rental price of the area to be rented according to the degree of congestion.

Advantages of the Invention

[0010] According to the present invention, the labor required to lend out vacant space can be reduced.

Brief Description of the Drawings

[0011] [Figure 1] It is a diagram showing an example of the schematic configuration of the support system according to the present embodiment. [Figure 2] It is a block diagram showing an example of the functional configuration of the support device according to the present embodiment. [Figure 3] It is a diagram showing an example of the flow analysis of people according to the present embodiment. [Figure 4] It is a diagram showing an example of the flow analysis of people according to the present embodiment. [Figure 5] It is a diagram showing an example of the lending information according to the present embodiment. [Figure 6] It is a sequence diagram showing an example of the processing flow according to the present embodiment.

Modes for Carrying Out the Invention

[0012] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. The support system according to this embodiment is a system for assisting in matching a person who wants to lend an empty space with a person who wants to borrow the empty space. The lender is, for example, the owner or administrator of a facility. Hereinafter, a person who wants to lend an empty space is also referred to as a "lender". The borrower is, for example, a store operator of a pop-up store or an event organizer. Hereinafter, a person who wants to borrow an empty space is also referred to as a "borrower". In this embodiment, when available date and time are detected in the space that the lender has targeted for lending (hereinafter, also referred to as the "lending target area"), the lending target area becomes an empty space at that date and time. The facility is, for example, a station, an office building, a shopping mall, etc. In this embodiment, as an example, an example where the facility is a station will be described. Also, the lending target area is, for example, an area designated by the lender as the target for lending within the area (site) of the facility. In the facility, the lending target area may be either indoor or outdoor of the facility. Note that the lender, borrower, facility, and lending target area are not limited to such examples.

[0013] <1. Schematic Configuration of Support System> Referring to FIG. 1, the schematic configuration of the support system according to this embodiment will be described. FIG. 1 is a diagram showing an example of the schematic configuration of the support system according to this embodiment. As shown in FIG. 1, the support system 1 includes user terminals 10 (10-1 to 10-n (n is a natural number)), sensor devices 20 (20-1 to 20-m (m is a natural number)), a support device 30, a lender terminal 40, and a borrower terminal 50.

[0014] (1) User Terminal 10 User terminal 10 is a terminal owned by a user of station 2. User terminal 10 is not limited to any particular type of terminal, as long as it is capable of communication via Wi-Fi (registered trademark). For example, user terminal 10 may be implemented as a smartphone, tablet, smartwatch, or PC (Personal Computer).

[0015] (2) Sensor device 20 The sensor device 20 is installed at station 2 and is a sensor that acquires pedestrian flow analysis information, which is information for analyzing pedestrian flow at station 2. The location of the sensor device 20 installed at station 2 is not particularly limited, but it is preferably a location where pedestrian flow analysis information regarding the rental area or the area surrounding the rental area can be acquired. Furthermore, the number of sensor devices 20 installed at station 2 is not particularly limited, but any number may be installed depending on the size of station 2, the number and size of the rental areas, etc.

[0016] The sensor device 20 acquires pedestrian flow analysis information by utilizing radio waves emitted when, for example, the user terminal 10 communicates via Wi-Fi. Specifically, the sensor device 20 acquires location information indicating the location of the user terminal 10 and the SSID (Service Set Identifier) ​​history of the user terminal 10 as pedestrian flow analysis information through communication with the user terminal 10 that receives the radio waves. SSID is the identification name of an access point in a wireless LAN (Wi-Fi). In other words, the SSID history of the user terminal 10 is information indicating the history of access points that the user terminal 10 has connected to in the past.

[0017] The sensor device 20 is connected to the support device 30 via a network NW, enabling communication between them. The sensor device 20 transmits pedestrian flow analysis information to the support device 30 via the network NW.

[0018] (3) Support device 30 The support device 30 is a device for assisting in matching landlords and tenants. The support device 30 can be implemented, for example, by a PC (Personal Computer) or a server device. The support device 30 enables matching between landlords and tenants through a website (hereinafter also referred to as the "matching site") that provides a service for matching landlords and tenants. The matching site provides functions such as landlords registering areas to be rented, tenants searching for available spaces, tenants viewing rental information for available spaces, tenants viewing recommended information for available spaces, and tenants applying for available spaces. The functions provided by the matching site are executed by an application (hereinafter also referred to as the "matching app").

[0019] Rental information is detailed information showing available space. This information includes, for example, basic information, attribute information, sales forecast information, and congestion level information. Basic information refers to fundamental details of available space, such as location (facility name, location within the facility, address, etc.), size, rental dates and times, price, and types of use (e.g., categories that are not allowed). Attribute information refers to information indicating the attributes of users passing through the area being lent or the vicinity of the area being lent. Sales forecast information indicates the projected sales if a store were to open in an empty space. Congestion level information indicates the degree of congestion in or around the area subject to rental. There are two types of congestion level information: first congestion level information and second congestion level information. First congestion level information indicates the first congestion level calculated based on the results of pedestrian flow analysis. Second congestion level information indicates the second congestion level calculated based on the first congestion level and fluctuation information. Variable information is information that affects the first level of congestion. Examples of variable information include weather information showing the weather around Station 2, and event information showing events being held around Station 2. When the weather is sunny or an event is being held, the number of users of Station 2 increases, causing the first level of congestion to increase (i.e., become more crowded). On the other hand, when the weather is rainy or an event is not being held, the number of users of Station 2 decreases, causing the first level of congestion to decrease (i.e., become less crowded). Recommendation information is detailed information about available spaces that have been selected from among the available spaces to match the conditions desired by the tenant (hereinafter also referred to as "desired conditions") (hereinafter also referred to as "recommended spaces").

[0020] The matching site may be accessible via the Web (web browser), or it may be accessible via a matching app installed on the lender terminal 40 and the borrower terminal 50.

[0021] The support device 30 is connected to the sensor device 20 via a network NW in a communicative manner. The support device 30 receives pedestrian flow analysis information from the sensor device 20. Furthermore, the support device 30 is connected to the lender terminal 40 via a network NW so that it can communicate with the lender terminal 40. The support device 30 receives information from the lender terminal 40, such as the lender's information and information about the rental area, which are registered on the matching site by the lender, and transmits the information to be displayed on the matching site to the lender terminal 40. Furthermore, the support device 30 is connected to the borrower terminal 50 via a network NW so that it can communicate with the borrower terminal 50. The support device 30 receives information from the borrower terminal 50, such as borrower information and information indicating desired conditions, which are registered on the matching site by the borrower, and transmits the information to be displayed on the matching site to the borrower terminal 50.

[0022] (4) Lender terminal 40 The lessor terminal 40 is a terminal used by the lessor. The lessor terminal 40 may be implemented as, for example, a smartphone, a tablet, or a PC. The lender can check various statuses by accessing the matching app visualization app from the lender terminal 40.

[0023] The lender terminal 40 is connected to the support device 30 via a network NW, enabling communication. The lender terminal 40 transmits information such as the lender's information and information about the rental area to the support device 30, and receives information to be displayed via the matching site from the support device 30.

[0024] (5) Borrower's side 50 The borrower terminal 50 is a terminal used by the borrower. The borrower terminal 50 may be implemented as, for example, a smartphone, a tablet, or a PC. The tenant can check various statuses by accessing the visualization app from the tenant terminal 50.

[0025] The borrower terminal 50 is connected to the support device 30 via a network NW, enabling communication. The borrower terminal 50 receives information such as the borrower's information and desired conditions that the borrower registers on the matching site, and transmits the information to be displayed via the matching site back to the borrower terminal 50.

[0026] <2. Functional Configuration of Support Devices> The schematic configuration of the support system 1 according to this embodiment has been described above. Next, the functional configuration of the support device 30 according to this embodiment will be described with reference to Figures 2 to 5. Figure 2 is a block diagram showing an example of the functional configuration of the support device 30 according to this embodiment. As shown in Figure 2, the support device 30 comprises a communication unit 310, a storage unit 320, and a control unit 330.

[0027] (1) Communications Section 310 The communication unit 310 has the function of sending and receiving various types of information. For example, the communication unit 310 receives pedestrian flow analysis information when communicating with the sensor device 20 via the network NW. The communication unit 310 also receives information about the lessor and the area to be rented when communicating with the lessor terminal 40 via the network NW, and transmits information output by the matching application. The communication unit 310 also receives information about the lessee and information indicating their desired conditions when communicating with the lessee terminal 50 via the network NW, and transmits information output by the matching application.

[0028] (2) Storage section 320 The storage unit 320 has the function of storing various types of information. The storage unit 320 is composed of a storage medium, such as an HDD (Hard Disk Drive), SSD (Solid State Drive), flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), RAM (Random Access read / write Memory), ROM (Read Only Memory), or any combination of these storage media. The memory unit 320 stores information about the lender, information about the lending area, information about the borrower, pedestrian flow analysis information, lending information, and so on.

[0029] (3) Control unit 330 The control unit 330 has the function of controlling the overall operation of the support device 30. The control unit 330 is realized, for example, by causing the CPU (Central Processing Unit) provided as hardware in the support device 30 to execute a program. As shown in Figure 4, the system comprises a pedestrian flow analysis information acquisition unit 331, a fluctuation information acquisition unit 332, an analysis unit 333, a detection unit 334, a prediction unit 335, a loan price determination unit 336, a recommendation target extraction unit 337, a loan information output unit 338, and a recommendation information output unit 339.

[0030] (3-1)Population flow analysis information acquisition unit 331 The pedestrian flow analysis information acquisition unit 331 has the function of acquiring pedestrian flow analysis information. For example, the pedestrian flow analysis information acquisition unit 331 acquires pedestrian flow analysis information transmitted from the sensor device 20 and received by the communication unit 310. The pedestrian flow analysis information acquisition unit 331 outputs the acquired pedestrian flow analysis information to the analysis unit 333.

[0031] (3-2) Variable information acquisition unit 332 The variable information acquisition unit 332 has the function of acquiring variable information. For example, the variable information acquisition unit 332 acquires variable information by searching on the Web or by receiving it from services that publish variable information via a network NW (e.g., the Internet). The fluctuation information acquisition unit 332 outputs the acquired fluctuation information to the detection unit 334.

[0032] (3-3) Analysis section 333 The analysis unit 333 has the function of analyzing the flow of people at station 2 based on the flow of people analysis information. For example, the analysis unit 333 acquires pedestrian flow information indicating the flow of people at station 2 based on the location information of the user terminal 10 included in the pedestrian flow analysis information. Specifically, the analysis unit 333 analyzes the history of the location information of the user terminal 10, which is acquired periodically, and acquires the trajectory of the movement of the user terminal 10 (i.e., the trajectory of the user's movement) as pedestrian flow information.

[0033] Here, an example of pedestrian flow analysis will be described with reference to Figures 3 and 4. Figures 3 and 4 are diagrams showing an example of pedestrian flow analysis according to this embodiment. Figure 3 shows an example of pedestrian flow analysis during the morning commute on weekdays. Figure 4 shows an example of pedestrian flow analysis during the evening commute on weekdays. In the examples shown in Figures 3 and 4, the loanable areas LA1 to LA4 are indicated on map 60. Sensor device 20-1 is installed in loanable area LA1. Sensor devices 20-2 are installed near loanable areas LA2 and LA3. Sensor device 20-3 is installed in loanable area LA4.

[0034] Figure 3 shows an example of user US1, who has a user terminal 10-1, passing through station 2 during the weekday morning commute. At location P1, for example, pedestrian flow analysis information is acquired from user terminal 10-1 by sensor device 20-1. At locations P2 and P3, pedestrian flow analysis information is acquired from user terminal 10-1 by sensor device 20-2. The analysis unit 333 analyzes the pedestrian flow analysis information acquired from sensor devices 20-1 and 20-2. As a result, the analysis unit 333 can acquire the trajectory TM1 of user US1 as pedestrian flow information, as shown in Figure 3, in the order of location P1, location P2, and location P3.

[0035] Figure 4 shows an example of user US2, who has a user terminal 10-2, passing through station 2 during the evening rush hour on a weekday. At location P4, for example, pedestrian flow analysis information is acquired from user terminal 10-2 by sensor device 20-3. Also, at locations P5 and P6, pedestrian flow analysis information is acquired from user terminal 10-2 by sensor device 20-1. The analysis unit 333 analyzes the pedestrian flow analysis information acquired from sensor devices 20-1 and 20-3. As a result, the analysis unit 333 can acquire the trajectory TM2 of user US1 as pedestrian flow information, as shown in Figure 4, in the order of location P4, location P5, and location P6.

[0036] (3-4) Detection unit 334 The detection unit 334 has the function of detecting various types of information. For example, based on the results of the pedestrian flow analysis by the analysis unit 333, the detection unit 334 detects the dates and times when the rental area at station 2 is available for rental. Specifically, the detection unit 334 maps the pedestrian flow information, which shows the movement trajectories of users, acquired by the analysis unit 333, onto the map of station 2. For example, the detection unit 334 maps trajectories TM1 and TM2 onto the map 60 as shown in the examples in Figures 3 and 4. This shows, for example, that loanable areas LA1 and LA4 are empty spaces during weekday morning commutes because there is no foot traffic, but are not empty spaces during weekday evening commutes because there is foot traffic. On the other hand, loanable area LA3 is not empty spaces during weekday morning commutes because there is foot traffic, but is empty spaces during weekday evening commutes because there is no foot traffic. Therefore, the detection unit 334 detects weekday morning commute times as the dates and times when the loanable areas LA1 and LA4 are available for loan. The detection unit 334 detects weekday morning commute times as the dates and times when the loanable areas LA1 and LA4 are available for loan. In addition, the detection unit 334 detects weekday evening commute times as the dates and times when the loanable area LA3 is available for loan. Furthermore, the detection unit 334 detects weekday morning commute times and evening commute times as the dates and times when the loanable area LA2 is available for loan. Thus, even within the same station 2, pedestrian traffic can vary depending on the time of day. The detection unit 334 can detect the dates and times when the area to be rented is available for rent by mapping the trajectories from different time periods onto a map.

[0037] Furthermore, the detection unit 334 detects the attributes of users passing through the rental area or its vicinity based on the results of the pedestrian flow analysis. For example, the detection unit 334 maps the pedestrian flow information, which shows the movement trajectory of users and was acquired by the analysis unit 333, onto the map of station 2 to identify users passing through the rental area or its vicinity, and acquires the SSID history of the user terminal 10 owned by the identified users from the pedestrian flow analysis information. Based on the acquired SSID history, the detection unit 334 detects the attributes of users at station 2 and acquires attribute information. By tracing back from the SSID history to determine which access points the user terminal 10 connected to, the detection unit 334 can understand what actions the user has taken and detect the user's attributes. For example, the detection unit 334 can detect the user's occupation (company employee, student, etc.) based on the travel route (which station the user boarded and alighted at), the time of travel, and which access points the user subsequently connected to. Furthermore, the detection unit 334 can detect the user's gender if it determines from their movement path that they have moved towards a men's or women's restroom. Also, if the user frequently connects to access points installed in restaurants, the detection unit 334 can detect their preference for eating out. Similarly, if the user frequently connects to access points installed in stadiums or museums, the detection unit 334 can detect their hobbies, such as sports or culture.

[0038] Furthermore, the detection unit 334 may calculate a first degree of congestion in or around the area to be rented based on the results of the pedestrian flow analysis, and detect the date and time when the area to be rented is available based on the first degree of congestion. The first degree of congestion is indicated, for example, by the pedestrian flow rate. For example, the detection unit 334 may use the pedestrian flow rate calculated from the number of pedestrian flow analysis data acquired in or around the area to be rented as the first degree of congestion. The detection unit 334 detects the dates and times when the loanable area can be rented out, based on the comparison result between the calculated first congestion level and the first index value. The first index value is a value that indicates the first congestion level at which the loanable area can be rented out. For example, the first index value may indicate the upper limit of the first congestion level at which the loanable area can be rented out. In this case, the detection unit 334 detects dates and times when the first congestion level is less than the first index value as dates and times when the loanable area can be rented out. On the other hand, the detection unit 334 does not detect dates and times when the first congestion level is equal to or greater than the first index value as dates and times when the loanable area can be rented out.

[0039] Furthermore, the detection unit 334 may calculate a second congestion level based on the first congestion level and fluctuation information, and detect the dates and times when the rental area is available for rental based on the second congestion level. The second congestion level is indicated by the flow of people, similar to the first congestion level. For example, the detection unit 334 calculates the second congestion level by adjusting the calculated first congestion level according to the fluctuation information. As an example, if the fluctuation information indicates sunny weather, the detection unit 334 adjusts the first congestion level to be larger, and if the fluctuation information indicates rain, it adjusts the first congestion level to be smaller to obtain the second congestion level. The detection unit 334 detects the dates and times when the loanable area can be rented out, based on the comparison result between the calculated second congestion level and the second indicator value. The second indicator value is a value that indicates the second congestion level at which the loanable area can be rented out. For example, the second indicator value may indicate the upper limit of the second congestion level at which the loanable area can be rented out. In this case, the detection unit 334 detects dates and times when the second congestion level is less than the second indicator value as dates and times when the loanable area can be rented out. On the other hand, the detection unit 334 does not detect dates and times when the second congestion level is equal to or greater than the second indicator value as dates and times when the loanable area can be rented out.

[0040] (3-5) Prediction unit 335 The prediction unit 335 has the function of predicting sales when a store is opened in an empty space, based on the results of the pedestrian flow analysis. For example, the prediction unit 335 calculates predicted sales based on user attribute information, a first level of congestion, or a second level of congestion detected by the detection unit 334 from the pedestrian flow analysis results, and information indicating the unit price of the products handled by the store to be opened.

[0041] (3-6) Loan price determination unit 336 The rental price determination unit 336 has the function of determining the rental price of available space according to the degree of congestion. For example, if the degree of congestion is high, an increase in sales is expected. For this reason, the rental price determination unit 336 determines the rental price to be higher than the standard rental price for the average degree of congestion. On the other hand, if the degree of congestion is low, a decrease in sales is expected. For this reason, the rental price determination unit 336 determines the rental price to be lower than the standard rental price for the average degree of congestion.

[0042] (3-7) Recommendation target extraction unit 337 The recommendation target extraction unit 337 has the function of extracting available spaces from among the available spaces that are suitable for recommendation to the tenant. For example, if the tenant has registered their desired conditions in advance, the recommendation target extraction unit 337 will extract available spaces that meet the tenant's desired conditions from among the available spaces as recommended spaces.

[0043] (3-8) Loan information output unit 338 The rental information output unit 338 has the function of outputting rental information for available spaces. For example, the rental information output unit 338 outputs rental information to a matching site. Specifically, the rental information output unit 338 outputs rental information that includes basic information about available spaces, as well as attribute information, sales forecast information, first congestion level information, or second congestion level information. This allows renters to more easily find available spaces that suit their intended use, compared to when only basic information is displayed. For example, renters can consider whether the customer base matches their intended use based on the displayed attribute information. They can also consider whether they can make a profit by renting the available space based on the displayed sales forecast information. Furthermore, renters can consider whether they can make a profit by renting the available space based on the displayed first and second levels of congestion information.

[0044] Here, with reference to Figure 5, an example of loan information output to the matching site will be described. Figure 5 is a diagram showing an example of loan information according to this embodiment. As shown in Figure 5, the lending information is output as, for example, Image 70. In Image 70, as an example, the lending area LA5, which is an empty space within the station premises of Station 2, is indicated by a frame. In addition, the display area DA in Image 70 contains basic information such as the location is "AAA Station Premises (BBB Ward, Tokyo)" and the area is "10m". 2 The rental period is "weekdays 4pm-7pm", the price is "12,000 yen / hour", and the NG category is "food and drink". Additionally, the display area DA of image 70 shows attribute information, indicating that the user's attributes are "70% male, 30% female". Furthermore, the display area DA of image 70 shows sales forecast information, indicating that the sales forecast is "30,000 yen / hour". Additionally, the display area DA of image 70 shows the first level of congestion information, indicating that the flow of people is "moderately high (normal)", and the second level of congestion information, indicating that the flow of people is "high (event)".

[0045] (3-9) Recommendation information output unit 339 The recommendation information output unit 339 has the function of outputting recommendation information. For example, the recommendation information output unit 339 outputs recommendation information to a matching site. Specifically, the recommendation information output unit 339 outputs the recommended rental information extracted by the recommendation target extraction unit 337 as recommendation information. This eliminates the need for tenants to search for available spaces that meet their desired conditions, thus reducing the effort required to find the most suitable space.

[0046] <3. Processing Flow> The functional configuration of the support device 30 according to this embodiment has been described above. Next, the processing flow according to this embodiment will be described with reference to Figure 6. Figure 6 is a sequence diagram showing an example of the processing flow according to this embodiment.

[0047] As shown in Figure 6, first, the landlord and tenant register on the matching site. During registration by the lender, the lender terminal 40 transmits the lender's registration information, which the lender has entered to register with the matching site, to the support device 30 (step S101). The lender's registration information includes, for example, the lender's information and information about the rental area. The support device 30 stores the landlord's registration information received from the landlord terminal 40 (step S102). During the borrower's registration process, the borrower terminal 50 transmits the borrower's registration information, which the borrower has entered to register with the matching site, to the support device 30 (step S103). The borrower's registration information includes, for example, information indicating the borrower's information and desired conditions. The support device 30 stores the borrower's registration information received from the borrower terminal 50 (step S104).

[0048] Landlords who register on the matching site will install sensor devices 20 at Station 2. The sensor device 20 installed at station 2 requests pedestrian flow analysis information from the user terminal 10 of the station 2's users (step S105). The user terminal 10 transmits pedestrian flow analysis information to the sensor device 20 in response to a request received from the sensor device 20 (step S106). The sensor device 20 transmits the pedestrian flow analysis information received from the user terminal 10 to the support device 30 (step S107).

[0049] The support device 30 performs processing based on the pedestrian flow analysis information received from the sensor device 20. First, the pedestrian flow analysis information acquisition unit 331 acquires the pedestrian flow analysis information received by the communication unit 310 from the sensor device 20 (step S108). The analysis unit 333 analyzes the flow of people at station 2 based on the flow of people analysis information acquired by the flow of people analysis information acquisition unit 331 (step S109). The fluctuation information acquisition unit 332 acquires fluctuation information if there is any fluctuation information related to station 2 (step S110). The detection unit 334 detects the date and time when the area to be rented at station 2 is available for rent, based on the results of the pedestrian flow analysis by the analysis unit 333 and the fluctuation information acquired by the fluctuation information acquisition unit 332 (step S111). The detection unit 334 detects available space by detecting the date and time when the area to be rented is available for rent.

[0050] If the detection unit 334 detects an empty space (step S112 / YES), the support device 30 proceeds to step S113. On the other hand, if the detection unit 334 does not detect an empty space (step S112 / NO), the support device 30 repeats the process from step S108.

[0051] If the process proceeds to step S113, the prediction unit 335 predicts the sales if the tenant were to open a store in the vacant space, based on the results of the pedestrian flow analysis performed by the analysis unit 333 (step S113). The rental price determination unit 336 determines the rental price of available space according to the degree of congestion at station 2 (step S114). The loan information output unit 338 outputs the loan information of the available space detected by the detection unit 334 to the matching site (step S115). The borrower terminal 50 displays the loan information output to the matching site by the support device 30 (step S116).

[0052] If the borrower has registered their desired conditions (step S117 / YES), the support device 30 proceeds to step S118. On the other hand, if the borrower has not registered their desired conditions (step S117 / NO), the support device 30 repeats the process from step S108.

[0053] If the process proceeds to step S118, the recommendation target extraction unit 337 extracts from the detected available spaces those that meet the conditions of the tenant's desired conditions as recommended spaces (step S118). The recommendation information output unit 339 outputs the recommended loan information extracted by the recommendation target extraction unit 337 as recommendation information to the matching site (step S119). The borrower terminal 50 displays the recommendation information output to the matching site by the support device 30 (step S120).

[0054] As described above, the support system 1 according to this embodiment acquires pedestrian flow analysis information obtained through communication between a terminal device owned by a facility user and a sensor device installed in the facility, analyzes pedestrian flow in the facility based on the acquired pedestrian flow analysis information, detects the date and time when the rental target area in the facility is available for rental based on the analysis results, and outputs rental information showing the details of the rental target area for which the rental date and time has been detected.

[0055] As a result, the support system 1 according to this embodiment detects the dates and times when vacant space can be rented out, taking into account the fluctuating flow of people depending on the time of day and day of the week. Therefore, facility owners no longer need to perform the task of finding vacant space themselves, taking into account the fluctuating flow of people depending on the time of day and day of the week.

[0056] Therefore, the support system 1 according to this embodiment makes it possible to reduce the effort required to rent out vacant space.

[0057] Embodiments of the present invention have been described above. It should be noted that some or all of the support system 1 in the above-described embodiment may be implemented using a computer. In that case, the program for implementing this function may be recorded on a computer-readable recording medium, and the program recorded on this recording medium may be loaded into the computer system and executed. Here, "computer system" includes hardware such as an OS and peripheral devices. "Computer-readable recording medium" refers to portable media such as flexible disks, magneto-optical disks, ROMs, CD-ROMs, and storage devices such as hard disks built into the computer system. Furthermore, "computer-readable recording medium" may also include those that dynamically hold programs for a short period, such as communication lines used when transmitting programs via networks such as the Internet or communication lines such as telephone lines, and those that hold programs for a certain period, such as volatile memory inside the computer system acting as a server or client. The program described above may be for implementing some of the functions described above, or it may be a program that can implement the functions described above in combination with a program already recorded in the computer system, or it may be implemented using a programmable logic device such as an FPGA (Field Programmable Gate Array).

[0058] Although embodiments of this invention have been described in detail above with reference to the drawings, the specific configuration is not limited to those described above, and various design changes can be made without departing from the spirit of this invention. [Explanation of Symbols]

[0059] 1...Support system, 2...Station, 10 (10-1 to 10-n)...User terminal, 20 (20-1 to 20-m), 30...Support device, 40...Lender terminal, 50...Renter terminal, 60...Map, 70...Image, 310...Communication unit, 320...Storage unit, 330...Control unit, 331...Pedestrian flow analysis information acquisition unit, 332...Variation information acquisition unit, 333...Analysis unit, 334...Detection unit, 335...Prediction unit, 336...Rental price determination unit, 337...Recommendation target extraction unit, 338...Rental information output unit, 339...Recommendation information output unit

Claims

1. A human flow analysis information acquisition unit acquires human flow analysis information obtained through communication between terminal devices owned by facility users and sensor devices installed in the facility, Based on the aforementioned pedestrian flow analysis information, an analysis unit analyzes the pedestrian flow in the facility, A detection unit that detects the dates and times when the area to be rented in the facility is available for rent, based on the results of the analysis of the flow of people, A loan information output unit outputs loan information that shows the details of the loan target area for which a loanable date and time has been detected, Equipped with, Based on the results of the analysis of the human flow, the detection unit detects the attributes of the users passing through the area to be lent or the vicinity of the area to be lent. The loan information output unit outputs the loan information, which includes attribute information indicating the detected attribute. Support system.

2. A human flow analysis information acquisition unit that acquires human flow analysis information obtained through communication between a terminal device owned by a user of the facility and a sensor device installed in the facility, Based on the aforementioned pedestrian flow analysis information, an analysis unit analyzes the pedestrian flow in the facility, A detection unit that detects the dates and times when the area to be rented in the facility is available for rent, based on the results of the analysis of the flow of people, A loan information output unit outputs loan information that shows the details of the loan target area for which a loanable date and time has been detected, Based on the results of the analysis of the aforementioned flow of people, a prediction unit predicts the sales when a store is opened in the aforementioned rental target area, Equipped with, The loan information output unit outputs the loan information, which includes sales forecast information showing the predicted sales. Support system.

3. A human flow analysis information acquisition unit that acquires human flow analysis information obtained through communication between a terminal device owned by a user of the facility and a sensor device installed in the facility, Based on the aforementioned pedestrian flow analysis information, an analysis unit analyzes the pedestrian flow in the facility, A variable information acquisition unit acquires variable information indicating information that changes the first level of congestion, A detection unit calculates a first level of congestion in the area to be rented or the area surrounding the area to be rented at the facility based on the results of the analysis of the flow of people, calculates a second level of congestion based on the first level of congestion and the fluctuation information, and detects a date and time when the area to be rented is available based on the second level of congestion. A loan information output unit outputs loan information that shows the details of the loan target area for which a loanable date and time has been detected, A support system equipped with these features.

4. A human flow analysis information acquisition unit that acquires human flow analysis information obtained through communication between a terminal device owned by a user of the facility and a sensor device installed in the facility, Based on the aforementioned pedestrian flow analysis information, an analysis unit analyzes the pedestrian flow in the facility, A detection unit calculates a first level of congestion in the area to be rented or in the vicinity of the area to be rented within the facility based on the results of the analysis of the flow of people, and detects a date and time when the area to be rented is available based on the first level of congestion. A loan information output unit outputs loan information that shows the details of the loan target area for which a loanable date and time has been detected, A rental price determination unit that determines the rental price of the rental area according to the degree of congestion, A support system equipped with these features.

5. The aforementioned loan information output unit outputs the loan information to a matching site that provides a service for matching people who want to lend out the loaned area with people who want to borrow the loaned area. The support system according to any one of claims 1 to 4.

6. A recommendation target extraction unit extracts from the loan target areas for which lending dates and times have been detected, the loan target areas that correspond to the conditions desired by the person who wants to borrow, as recommendation targets for the person who wants to borrow. A recommendation information output unit outputs recommendation information that shows the details of the loan target area extracted as a recommendation target, The support system according to claim 5, further comprising:

7. The detection unit detects the date and time when the area to be lent out can be lent out, based on the result of comparing the first degree of congestion with a first index value indicating the first degree of congestion that makes the area to be lent out available for loan. The support system according to claim 3 or claim 4.

8. The loan information output unit outputs the loan information including first congestion level information indicating the first congestion level. The support system according to any one of claims 3, 4, or 7.

9. The detection unit detects the date and time when the loanable area can be loaned out, based on the result of comparing the second congestion level with a second indicator value that indicates the second congestion level at which the loanable area can be loaned out. The support system according to claim 3.

10. The loan information output unit outputs the loan information including second congestion level information indicating the second congestion level. The support system according to claim 3 or claim 9.

11. The human flow analysis information acquisition unit acquires human flow analysis information obtained through communication between terminal devices owned by facility users and sensor devices installed in the facility, and The analysis unit performs an analysis process to analyze the flow of people in the facility based on the aforementioned flow analysis information, The detection unit performs a detection process to detect the dates and times when the area to be rented in the facility is available for rent, based on the results of the analysis of the flow of people. The loan information output unit outputs loan information that shows the details of the loan target area for which a loanable date and time has been detected, and Includes, The aforementioned detection process detects the attributes of the users passing through the lending area or the vicinity of the lending area based on the results of the analysis of the flow of people, The loan information output process outputs the loan information including attribute information indicating the detected attribute. How to help.

12. Computers, A means for acquiring pedestrian flow analysis information obtained through communication between a terminal device owned by a facility user and a sensor device installed in the facility, Based on the aforementioned pedestrian flow analysis information, an analysis means for analyzing pedestrian flow in the facility, A detection means for detecting the dates and times when the area to be rented in the facility is available for rent, based on the results of the analysis of the flow of people, A loan information output means outputs loan information that shows the details of the loan target area for which the loanable date and time have been detected, To make it function as, The detection means detects the attributes of the users passing through the lending area or the vicinity of the lending area based on the results of the analysis of the flow of people, The loan information output means outputs the loan information including attribute information indicating the detected attribute. program.

13. A human flow analysis information acquisition process in which a human flow analysis information acquisition unit acquires human flow analysis information obtained through communication between a terminal device owned by a user of the facility and a sensor device installed in the facility, The analysis unit performs an analysis process to analyze the flow of people in the facility based on the aforementioned flow analysis information, The detection unit performs a detection process to detect the dates and times when the area to be rented in the facility is available for rent, based on the results of the analysis of the flow of people. The loan information output unit outputs loan information that shows the details of the loan target area for which a loanable date and time has been detected, and The prediction unit performs a prediction process that predicts sales when a store is opened in the rental target area, based on the results of the analysis of the flow of people. Includes, The loan information output process outputs the loan information, which includes sales forecast information showing the predicted sales. How to help.

14. A computer, A means for acquiring pedestrian flow analysis information obtained through communication between a terminal device owned by a facility user and a sensor device installed in the facility, Based on the aforementioned pedestrian flow analysis information, an analysis means for analyzing pedestrian flow in the facility, A detection means for detecting the dates and times when the area to be rented in the facility is available for rent, based on the results of the analysis of the flow of people, A loan information output means outputs loan information that shows the details of the loan target area for which the loanable date and time have been detected, Based on the results of the analysis of the aforementioned flow of people, a prediction means predicts the sales when a store is opened in the aforementioned rental target area, To make it function as, The loan information output means outputs the loan information, which includes sales forecast information showing the predicted sales. program.

15. A human flow analysis information acquisition process in which a human flow analysis information acquisition unit acquires human flow analysis information obtained through communication between a terminal device owned by a user of the facility and a sensor device installed in the facility, The analysis unit performs an analysis process to analyze the flow of people in the facility based on the aforementioned flow analysis information, The variable information acquisition unit acquires variable information indicating information that causes the first level of congestion to change, and A detection process in which the detection unit calculates a first degree of congestion in the area to be rented or the area surrounding the area to be rented in the facility based on the results of the analysis of the flow of people, calculates a second degree of congestion based on the first degree of congestion and the fluctuation information, and detects the date and time when the area to be rented can be rented based on the second degree of congestion, The loan information output unit outputs loan information that shows the details of the loan target area for which a loanable date and time has been detected, and Support methods including those mentioned above.

16. A computer, A means for acquiring pedestrian flow analysis information obtained through communication between a terminal device owned by a facility user and a sensor device installed in the facility, Based on the aforementioned pedestrian flow analysis information, an analysis means for analyzing pedestrian flow in the facility, A means for acquiring change information that indicates information that changes the first degree of congestion, A detection means that calculates a first degree of congestion in the area to be rented or the area surrounding the area to be rented at the facility based on the results of the analysis of the flow of people, calculates a second degree of congestion based on the first degree of congestion and the fluctuation information, and detects the date and time when the area to be rented is available based on the second degree of congestion, A loan information output means outputs loan information that shows the details of the loan target area for which the loanable date and time have been detected, A program designed to function as such.

17. A human flow analysis information acquisition process in which a human flow analysis information acquisition unit acquires human flow analysis information obtained through communication between a terminal device owned by a user of the facility and a sensor device installed in the facility, The analysis unit performs an analysis process to analyze the flow of people in the facility based on the aforementioned flow analysis information, The detection unit calculates a first degree of congestion in the area to be rented or the area surrounding the area to be rented within the facility based on the results of the analysis of the flow of people, and detects a date and time when the area to be rented is available based on the first degree of congestion. The loan information output unit outputs loan information that shows the details of the loan target area for which a loanable date and time has been detected, and The loan price determination unit performs a loan price determination process in which it determines the loan price of the loan target area according to the degree of congestion, Support methods including those mentioned above.

18. A computer, A means for acquiring pedestrian flow analysis information obtained through communication between a terminal device owned by a facility user and a sensor device installed in the facility, Based on the aforementioned pedestrian flow analysis information, an analysis means for analyzing pedestrian flow in the facility, A detection means calculates a first degree of congestion in the area to be rented or in the vicinity of the area to be rented within the facility based on the results of the analysis of the flow of people, and detects a date and time when the area to be rented is available based on the first degree of congestion, A loan information output means outputs loan information that shows the details of the loan target area for which the loanable date and time have been detected, A rental price determination means that determines the rental price of the rental area according to the degree of congestion, A program designed to function as such.

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