JP2024048843A - Information processing device and information processing method - Google Patents

Abstract

[Problem] To perform an analysis of overnighters who stay overnight in an area specified by an analysis requester. [Solution] An analysis unit is provided that identifies user terminals located in a specified nighttime period in an analysis area and analysis period based on user terminal position data and the position information of the user terminal during the nighttime period, determines for each identified user terminal whether the position information for the nighttime period differs from the user's place of residence indicated by the user attribute data, extracts position information for nighttime periods that differ from the user's place of residence indicated by the user attribute data, and generates overnighter analysis data based on the extracted position information for the nighttime period. [Selected Figure] Figure 2

Description

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

Conventionally, there is known a technique for providing a person requesting an analysis with information associating the location information of the devices of multiple users staying within an area with the attributes of the users (see, for example, Patent Document 1). The technique described in Patent Document 1 provides the analysis results of the attributes of multiple users staying within an area specified by the person requesting the analysis.

Patent No. 6918161

The technology described in Patent Document 1 can perform analysis on residents who live in an area specified by the person requesting the analysis, but cannot perform analysis on people who stay overnight outside the area specified by the person requesting the analysis.

The present invention was made in consideration of these circumstances, and its purpose is to perform analysis on people who stay overnight in an area specified by the person requesting the analysis.

One aspect of the present invention is an information processing device that includes a reception unit that receives specification of an analysis area and analysis period to be analyzed; a user terminal position data acquisition unit that acquires user terminal position data including position information indicating the position of each user terminal in the analysis area and analysis period and date and time information indicating the date and time when each position information was acquired; a user attribute data acquisition unit that acquires user attribute data indicating user attributes including the residence of the user of each user terminal; an analysis unit that identifies user terminals located during a specified nighttime period in the analysis area and analysis period based on the user terminal position data and location information of the user terminals during the nighttime period, determines for each identified user terminal whether the location information of the nighttime period differs from the user's residence indicated by the user attribute data, extracts location information of the nighttime period that is different from the user's residence indicated by the user attribute data, generates overnighter analysis data based on the extracted location information of the nighttime period, and an output unit that outputs the overnighter analysis data.
One aspect of the present invention is an information processing device as described above, further comprising an accommodation facility identification data acquisition unit that acquires accommodation facility identification data including the location of each accommodation facility in the analysis area and information identifying the accommodation facility, and the analysis unit identifies an accommodation facility corresponding to the extracted nighttime hours location information based on the accommodation facility identification data, and includes information regarding the identified accommodation facility in the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, wherein the analysis unit includes information associating the user attributes with the identified accommodation facility in the overnight guest analysis data.
One aspect of the present invention is an information processing device in which, in the above-mentioned information processing device, the analysis unit identifies a check-in time of the identified accommodation facility from the date and time when location information satisfying specified check-in judgment conditions was acquired based on location information in the analysis area and analysis period of the user terminal corresponding to the extracted location information for the nighttime hours, and identifies a check-out time of the identified accommodation facility from the date and time when location information satisfying specified check-out judgment conditions was acquired, and includes information correlating the identified check-in time and check-out time with the identified accommodation facility in the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, in which the analysis unit includes information in the overnight guest analysis data that associates the number of consecutive days for which the extracted nighttime location information for the same user terminal corresponds to the number of overnight stays with the identified accommodation facility.
One aspect of the present invention is an information processing device as described above, in which the analysis unit classifies multiple user terminals that satisfy specified accompaniment determination conditions into the same accompaniment group based on the analysis area and location information during the analysis period of the user terminal corresponding to the extracted location information for the nighttime hours, and includes information associating information about the accompaniment group with the identified accommodation facility in the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, wherein the analysis unit, when the number of consecutive days for which the extracted nighttime location information for the same user terminal occurs exceeds a predetermined upper limit number of days, excludes the extracted nighttime location information for the user terminal and generates the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, wherein the analysis unit identifies a region visited by a user of a user terminal corresponding to the extracted location information for the nighttime hours based on the analysis area and location information for the analysis period of the user terminal, and includes information regarding the identified visiting region in the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, further comprising a tourist facility identification data acquisition unit that acquires tourist facility identification data including the location of each tourist facility in the analysis area and information identifying the tourist facility, and the analysis unit identifies tourist facilities visited by users of user terminals corresponding to the extracted location information during the nighttime hours based on the tourist facility identification data, and includes information related to the identified tourist facilities in the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, wherein the analysis unit includes information associating the user attributes with the identified visited area or tourist facility in the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, wherein the analysis unit identifies a time period during which a user of a user terminal visited a visiting area or tourist facility based on the date and time when the location information of the user terminal corresponding to the extracted location information of the nighttime hours was acquired, and includes information associating the identified time period with the visiting area or tourist facility in the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, in which the analysis unit includes information in the overnight guest analysis data that associates the number of consecutive days for which the extracted nighttime location information for the same user terminal occurs as the number of overnight stays with the identified visited area or tourist facility.
One aspect of the present invention is an information processing device as described above, in which the analysis unit classifies multiple user terminals that satisfy specified accompaniment determination conditions into the same accompaniment group based on the analysis area and location information during the analysis period of the user terminal corresponding to the extracted location information for the nighttime hours, and includes information associating the information on the accompaniment group with the identified visited areas or tourist facilities in the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, wherein the analysis unit identifies a visiting order of multiple tourist facilities visited by a user of a user terminal based on location information for the analysis area and analysis period of the user terminal corresponding to the extracted location information for the nighttime hours, and includes information indicating the visiting order of the identified multiple tourist facilities in the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, wherein the analysis unit identifies a visiting distance range from the extracted location information for the nighttime hours based on the identified visiting area, and includes information regarding the identified visiting distance range in the overnight guest analysis data.
One aspect of the present invention is an information processing device in which the analysis unit identifies user terminals located during a specified nighttime hour in the analysis area and analysis period based on the user terminal position data, and position information of the user terminals during the nighttime hour for each identified user terminal, determines whether the position information of the nighttime hour and the user's residence indicated by the user attribute data are separated by a specified distance or more, extracts the position information of the nighttime hour that is separated by the specified distance or more, and generates overnight stay user analysis data based on the extracted position information of the nighttime hour.

One aspect of the present invention is an information processing method executed by an information processing device, which includes a reception step of receiving designation of an analysis area and an analysis period to be analyzed, a user terminal position data acquisition step of acquiring user terminal position data including position information indicating the position of each user terminal in the analysis area and the analysis period and date and time information indicating the date and time when each position information was acquired, a user attribute data acquisition step of acquiring user attribute data indicating user attributes including the residence of the user of each user terminal, an analysis step of identifying user terminals located in a predetermined nighttime period in the analysis area and the analysis period based on the user terminal position data and the nighttime period position information of the user terminal, determining whether the nighttime period position information differs from the user residence indicated by the user attribute data for each identified user terminal, extracting the nighttime period position information different from the user residence indicated by the user attribute data, generating overnighter analysis data based on the extracted nighttime period position information, and an output step of outputting the overnighter analysis data.

The present invention has the advantage of being able to perform analysis on people staying overnight in an area specified by the person requesting the analysis.

1 is a block diagram showing an example of a configuration of an information providing system according to an embodiment; 1 is a block diagram showing an example of a configuration of an information processing device 1 according to an embodiment. FIG. 11 is a diagram illustrating an example of the configuration of user terminal position data according to an embodiment. FIG. 4 is a diagram illustrating an example of a configuration of user attribute data according to an embodiment. FIG. 11 is a diagram illustrating an example of the configuration of accommodation facility specification data according to an embodiment. FIG. 2 is a diagram showing an example of the configuration of tourist facility identification data according to an embodiment; 1 is a flowchart illustrating an example of a procedure of an information processing method according to an embodiment. FIG. 13 is a diagram illustrating a configuration example of a display screen for overnighter analysis data according to an embodiment. FIG. 13 is a diagram illustrating a configuration example of a display screen for overnighter analysis data according to an embodiment. FIG. 13 is a diagram illustrating a configuration example of a display screen for overnighter analysis data according to an embodiment.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
Fig. 1 is a block diagram showing an example of the configuration of an information providing system according to an embodiment. In Fig. 1, an information processing device 1 transmits and receives data to and from an analysis requester terminal 2 via a communication line. The analysis requester terminal 2 is a terminal used by the person requesting the analysis. The person requesting the analysis specifies, for the information processing device 1, an analysis area to be analyzed and an analysis period, etc., using the analysis requester terminal 2. The information processing device 1 provides the analysis results based on the specification of the analysis area, analysis period, etc., received from the analysis requester terminal 2 to the analysis requester terminal 2.

The information processing device 1 transmits and receives data to and from the database 3 via a communication line. The database 3 stores information such as terminal location history information indicating the location history of the user terminal 4 connected to the mobile communication network NW, user attribute information indicating the attributes of the user who uses the user terminal 4, map data, accommodation information indicating accommodation facilities located in the area included in the map data, and tourist facility information indicating tourist facilities located in the area included in the map data. The user terminal 4 is, for example, a mobile terminal such as a smartphone or a tablet computer (tablet PC). The mobile communication network NW may be a mobile communication network provided by one operator, or may be multiple mobile communication networks provided by multiple operators.

FIG. 2 is a block diagram showing an example of the configuration of the information processing device 1 according to this embodiment. In FIG. 1, the information processing device 1 includes a communication unit 11, a storage unit 12, and a control unit 13.

The communication unit 11 communicates with devices external to the information processing device 1. The communication unit 11 transmits and receives data to and from the analysis requester terminal 2 via a communication line. The communication unit 11 transmits and receives data to and from the database 3 via a communication line.

The storage unit 12 stores various data such as programs executed by the control unit 13 and data used by the control unit 13. The storage unit 12 is configured from a hard disk device, a magneto-optical disk device, a non-volatile memory such as a flash memory, a read-only recording medium such as a CD-ROM, a volatile memory such as a dynamic random access memory (DRAM), or a combination of these.

The control unit 13 has a CPU (Central Processing Unit) and realizes various functions by executing programs stored in the memory unit 12. The control unit 13 according to this embodiment has, as its functional units, a reception unit 21, a user terminal position data acquisition unit 22, a user attribute data acquisition unit 23, an accommodation facility identification data acquisition unit 24, a tourist facility identification data acquisition unit 25, an analysis unit 30, and an output unit 31.

The information processing device 1 may be configured using a general-purpose computer device, or may be configured as a dedicated hardware device. For example, the information processing device 1 may be configured using a server computer connected to a communication network such as the Internet. Furthermore, each function of the information processing device 1 may be realized by cloud computing. Furthermore, the information processing device 1 may be realized by a single computer, or may be realized by distributing the functions of the information processing device 1 among multiple computers. Furthermore, the information processing device 1 may be configured to set up a website, for example, by using a WWW system or the like.

The reception unit 21 receives analysis request information from the analysis requester terminal 2 via the communication unit 11. The analysis request information is information that specifies the analysis area to be analyzed and the analysis period, etc. By receiving the analysis request information from the analysis requester terminal 2, the reception unit 21 accepts the specification of the analysis area, analysis period, etc.

The user terminal position data acquisition unit 22 accesses the database 3 via the communication unit 11 and acquires user terminal position data from the database 3. The storage unit 12 stores the user terminal position data acquired by the user terminal position data acquisition unit 22. The user terminal position data is data including position information indicating the position of each user terminal 4 in an area including the specified analysis area and a period including the analysis period accepted by the acceptance unit 21, and date and time information indicating the date and time when each piece of position information was acquired.

As user terminal location data, information on all user terminals 4 for which there is a location history that matches the analysis area and analysis period in the terminal location history information in the database 3 is obtained. As user terminal location data, terminal location information and terminal location acquisition date and time information included in the terminal location history information in the database 3 are obtained. The terminal location information is information that indicates the location of the user terminal 4. The terminal location acquisition date and time information is information that indicates the date and time when the terminal location information was acquired from the user terminal 4.

Figure 3 is a diagram showing an example of the configuration of user terminal position data according to this embodiment. In the example of Figure 3, for each user terminal 4, user identification information (user ID), terminal position acquisition date and time information, and terminal position information (latitude, longitude) are acquired as user terminal position data.

The user attribute data acquisition unit 23 accesses the database 3 via the communication unit 11 and acquires user attribute data from the database 3. The storage unit 12 stores the user attribute data acquired by the user attribute data acquisition unit 23. The user attribute data is user attribute data indicating the user attributes of the user of each user terminal 4. The user attributes include at least the user's place of residence. The user attributes may further include the user's gender, age, nationality, etc.

As user attribute data, user attribute information of the user of the user terminal 4 is acquired from the user attribute information in the database 3. The target of acquisition of user attribute data is the same user of the user terminal 4 as the target of acquisition of user terminal position data. The user attribute information includes at least the user's place of residence. Furthermore, the user attribute information may include the user's gender, age, nationality, etc. The user attribute information in the database 3 is based on the user contract information of the user terminal 4.

The user attribute data acquisition unit 23 may also identify the residence of the user of the user terminal 4 from the user terminal position data of the user terminal 4.

The user attribute data acquisition unit 23 may also identify whether or not the user of the user terminal 4 is a foreign visitor to Japan. For example, the user attribute data acquisition unit 23 determines that the user is a foreign visitor to Japan if the store that the user has signed a contract to use in the user attribute information (user contract information) in the database 3 is a store inside an international airport, and determines that the user is not a foreign visitor to Japan if this is not the case.

Figure 4 is a diagram showing an example of the configuration of user attribute data according to this embodiment. In the example of Figure 4, a user ID and user attribute information (place of residence, age group, gender, nationality, etc.) are acquired as user attribute data for each user.

The accommodation facility specification data acquisition unit 24 accesses the database 3 via the communication unit 11 and acquires the accommodation facility specification data from the database 3. The storage unit 12 stores the accommodation facility specification data acquired by the accommodation facility specification data acquisition unit 24.
The accommodation facility specification data is data including the location of each accommodation facility in the specified analysis area received by the reception unit 21 and information that specifies the accommodation facility.

As accommodation facility identification data, information on all accommodation facilities present in the analysis area is obtained from the accommodation facility information in database 3. As accommodation facility identification data, accommodation facility names and accommodation facility location information included in the accommodation facility information in database 3 are obtained. The accommodation facility name is an example of information that identifies an accommodation facility, and is the name of the accommodation facility. The accommodation facility location information is information that indicates the location of the accommodation facility. In this embodiment, the accommodation facility location information is information that indicates the range in which the accommodation facility is located. The accommodation facility location information indicates the location of the accommodation facility (e.g., the representative location) and the geographical range corresponding to the accommodation facility (e.g., the range of the accommodation facility's premises or the range of the accommodation facility's building).

Figure 5 is a diagram showing an example of the configuration of accommodation facility identification data according to this embodiment. In the example of Figure 5, the accommodation facility name and accommodation facility location information are acquired as accommodation facility identification data for each accommodation facility.

The tourist facility identification data acquisition unit 25 accesses the database 3 via the communication unit 11 and acquires the tourist facility identification data from the database 3. The memory unit 12 stores the tourist facility identification data acquired by the tourist facility identification data acquisition unit 25. The tourist facility identification data is data including the location of each tourist facility in the specified analysis area accepted by the acceptance unit 21 and information identifying the tourist facility.

As tourist facility identification data, information on all tourist facilities present in the analysis area is obtained from the tourist facility information in database 3. As tourist facility identification data, the tourist facility name and tourist facility location information included in the tourist facility information in database 3 are obtained. The tourist facility name is an example of information that identifies a tourist facility, and is the name of the tourist facility. The tourist facility location information is information that indicates the location of the tourist facility. In this embodiment, the tourist facility location information is information that indicates the range in which the tourist facility is located. The tourist facility location information indicates the location of the tourist facility (e.g., the representative position) and the geographical range corresponding to the tourist facility (e.g., the range of the tourist facility's grounds or the range of the tourist facility's buildings).

Figure 6 is a diagram showing an example of the configuration of tourist facility identification data according to this embodiment. In the example of Figure 6, the tourist facility name and tourist facility location information are acquired as tourist facility identification data for each tourist facility.

The analysis unit 30 performs an analysis of overnight guests staying away from home during the analysis area and analysis period specified by the analysis requester, based on user terminal location data, etc.

For example, the analysis unit 30 identifies user terminals 4 that were located during a specific nighttime period in the analysis area and analysis period, and the location information of the user terminals 4 during the nighttime period, based on the user terminal location data. For each identified user terminal 4, the analysis unit 30 determines whether the location information for the nighttime period differs from the user's place of residence indicated by the user attribute data. The analysis unit 30 extracts location information for nighttime periods that differ from the user's place of residence indicated by the user attribute data. The analysis unit 30 generates overnighter analysis data based on the extracted location information for the nighttime period.

For example, the analysis unit 30 identifies user terminals 4 that were located during a specified nighttime period in the analysis area and analysis period, and the location information of the user terminals 4 during the nighttime period, based on the user terminal location data. For each identified user terminal 4, the analysis unit 30 determines whether the location information for the nighttime period and the user's residence indicated by the user attribute data are separated by a specified distance or more. The analysis unit 30 extracts the location information for the nighttime period that is separated by the specified distance or more. The analysis unit 30 generates overnighter analysis data based on the extracted location information for the nighttime period.

The output unit 31 outputs the overnight guest analysis data generated by the analysis unit 30. The overnight guest analysis data output from the output unit 31 is transmitted to the analysis requester terminal 2 by the communication unit 11.

Next, the information processing method according to this embodiment will be described with reference to FIG. 7. FIG. 7 is a flowchart showing an example of the procedure of the information processing method according to this embodiment.

(Step S1) The information processing device 1 receives analysis request information from the analysis requester terminal 2 and accepts the designation of the analysis area, analysis period, etc. indicated in the analysis request information.

(Step S2) The information processing device 1 acquires user terminal position data from the database 3 that corresponds to the specified analysis area and analysis period received in step S1.

(Step S3) The information processing device 1 acquires from the database 3 user attribute data related to the user of the user terminal 4 included in the user terminal position data acquired in step S2.

(Step S4) The information processing device 1 acquires accommodation facility specific data corresponding to the specified analysis area received in step S1 from the database 3.

(Step S5) The information processing device 1 acquires tourist facility specific data corresponding to the specified analysis area received in step S1 from the database 3.

(Step S6) The information processing device 1 performs an analysis of overnight guests who stay away from home during the analysis area and analysis period specified by the analysis requester based on the user terminal location data, etc., and generates overnight guest analysis data.

(Step S7) The information processing device 1 outputs the overnight guest analysis data.

The overnighter analysis method according to this embodiment will now be explained using an example.

(Example 1 of overnighter analysis method)
The analysis unit 30 identifies user terminals 4 located during a specific nighttime period in the analysis area and analysis period and the location information of the user terminals 4 during the nighttime period based on the user terminal location data. For each identified user terminal 4, the analysis unit 30 determines whether the location information for the nighttime period differs from the user's place of residence indicated by the user attribute data. If the location information for the nighttime period differs from the user's place of residence, it can be estimated that the user stayed overnight at the location indicated by the location information for the nighttime period. The analysis unit 30 extracts location information for the nighttime period that is different from the user's place of residence indicated by the user attribute data (estimated overnight location information). The analysis unit 30 generates overnighter analysis data based on the extracted location information for the nighttime period.

For example, the analysis unit 30 may identify an accommodation facility (estimated accommodation facility) that corresponds to the extracted nighttime location information (estimated overnight stay location information) based on the accommodation facility identification data, and include information about the identified accommodation facility (estimated accommodation facility) in the overnight stay guest analysis data.

The analysis unit 30 may also include information in the overnighter analysis data that associates the accommodations (estimated accommodations) included in the overnighter analysis data with the user attributes of the users who are estimated to have stayed at the accommodations (estimated accommodations) (user attributes of the users corresponding to the estimated overnight location information). For example, the analysis unit 30 may tally up the average number of overnight guests per day by user attributes for each accommodation (estimated accommodation) and include the tallying results in the overnighter analysis data. For example, the analysis unit 30 may calculate the composition ratio of overnight guests by user attributes for each accommodation (estimated accommodation) and include the calculation results in the overnighter analysis data. Examples of user attributes include gender, age, place of residence, nationality, and foreign visitors to Japan.

(Example 2 of overnighter analysis method)
The analysis unit 30 identifies user terminals 4 located in a predetermined nighttime period in the analysis area and analysis period and the location information of the user terminals 4 during the nighttime period based on the user terminal location data. The analysis unit 30 determines whether the location information of the nighttime period differs from the user's residential location indicated by the user attribute data for each identified user terminal 4. If the location information of the nighttime period differs from the user's residential location, it can be estimated that the user stayed overnight at the location of the location information of the nighttime period. The analysis unit 30 extracts location information (estimated overnight location information) of a nighttime period different from the user's residential location indicated by the user attribute data. The analysis unit 30 identifies an accommodation facility (estimated accommodation facility) corresponding to the extracted location information of the nighttime period (estimated overnight location information) based on the accommodation facility identification data. The analysis unit 30 includes information regarding the identified accommodation facility (estimated accommodation facility) in the overnighter analysis data.

Furthermore, the analysis unit 30 identifies the check-in time of the identified accommodation facility (estimated accommodation facility) from the date and time (terminal location information) when the location information (terminal location information) that satisfies the specified check-in judgment condition was acquired (terminal location acquisition date and time information) based on the analysis area and location information (terminal location information) of the user terminal 4 corresponding to the extracted nighttime time zone location information (estimated overnight stay location information). The analysis unit 30 also identifies the check-out time of the identified accommodation facility (estimated accommodation facility) from the date and time when the location information (terminal location information) that satisfies the specified check-out judgment condition was acquired (terminal location acquisition date and time information). The analysis unit 30 includes information that associates the identified check-in time and check-out time with the identified accommodation facility (estimated accommodation facility) in the overnighter analysis data.

The check-in determination condition is the location information (terminal location information) of the first location at an accommodation facility (accommodation location information) during the analysis period. The check-out determination condition is the location information (terminal location information) of the last location at an accommodation facility (accommodation location information) during the analysis period. For example, the analysis unit 30 may tally up the average number of overnight guests per day for each accommodation facility (estimated accommodation facility) by check-in time or check-out time, or by a combination of check-in time and check-out time, and include the results of the tally in the overnight guest analysis data. For example, the analysis unit 30 may calculate the overnight guest composition ratio for each accommodation facility (estimated accommodation facility) by check-in time or check-out time, or by a combination of check-in time and check-out time, and include the results of the calculation in the overnight guest analysis data.

(Example 3 of overnighter analysis method)
The analysis unit 30 identifies user terminals 4 located in a predetermined nighttime period in the analysis area and analysis period and the location information of the user terminals 4 during the nighttime period based on the user terminal location data. The analysis unit 30 determines whether the location information of the nighttime period differs from the user's residential location indicated by the user attribute data for each identified user terminal 4. If the location information of the nighttime period differs from the user's residential location, it can be estimated that the user stayed overnight at the location of the location information of the nighttime period. The analysis unit 30 extracts location information (estimated overnight location information) of a nighttime period different from the user's residential location indicated by the user attribute data. The analysis unit 30 identifies an accommodation facility (estimated accommodation facility) corresponding to the extracted location information of the nighttime period (estimated overnight location information) based on the accommodation facility identification data. The analysis unit 30 includes information regarding the identified accommodation facility (estimated accommodation facility) in the overnighter analysis data.

Furthermore, the analysis unit 30 includes information in the overnight guest analysis data that associates the number of consecutive days for which the extracted nighttime location information (estimated overnight location information) for the same user terminal 4 occurs with the identified accommodation facility (estimated accommodation facility) as the number of nights stayed. For example, the analysis unit 30 may tally up the average number of overnight guests per day by number of nights stayed for each accommodation facility (estimated accommodation facility) and include the results of this tally in the overnight guest analysis data. For example, the analysis unit 30 may calculate the composition ratio of overnight guests by number of nights stayed for each accommodation facility (estimated accommodation facility) and include the results of this calculation in the overnight guest analysis data.

(Example 4 of overnighter analysis method)
The analysis unit 30 identifies user terminals 4 located in a predetermined nighttime period in the analysis area and analysis period and the location information of the user terminals 4 during the nighttime period based on the user terminal location data. The analysis unit 30 determines whether the location information of the nighttime period differs from the user's residential location indicated by the user attribute data for each identified user terminal 4. If the location information of the nighttime period differs from the user's residential location, it can be estimated that the user stayed overnight at the location of the location information of the nighttime period. The analysis unit 30 extracts location information (estimated overnight location information) of a nighttime period different from the user's residential location indicated by the user attribute data. The analysis unit 30 identifies an accommodation facility (estimated accommodation facility) corresponding to the extracted location information of the nighttime period (estimated overnight location information) based on the accommodation facility identification data. The analysis unit 30 includes information regarding the identified accommodation facility (estimated accommodation facility) in the overnighter analysis data.

Furthermore, the analysis unit 30 classifies multiple user terminals 4 that satisfy a predetermined accompaniment determination condition into the same accompaniment group based on the analysis area of the user terminal 4 corresponding to the extracted location information for the nighttime hours (estimated overnight stay location information) and the location information (terminal location information) during the analysis period. The analysis unit 30 includes information that associates the information on the accompaniment group with the identified accommodation facility (estimated accommodation facility) in the overnighter analysis data.

The accompaniment determination condition is a number of user terminals 4 that maintain a predetermined upper limit value for the distance between terminals for a certain period of time or more during the analysis period. For example, the analysis unit 30 may tally up the average number of overnight guests per day for each accommodation facility (estimated accommodation facility) by the number of user terminals (number of accompanying persons) belonging to one accompanying group, and include the results of this tally in the overnight guest analysis data. For example, the analysis unit 30 may calculate the composition ratio of overnight guests for each accommodation facility (estimated accommodation facility) by the number of user terminals (number of accompanying persons) belonging to one accompanying group, and include the results of this calculation in the overnight guest analysis data.

For example, the analysis unit 30 may tally up the average number of overnight guests per day for each accommodation facility (estimated accommodation facility) by user attribute of users of user terminals 4 belonging to the same accompanying group (user attribute of the accompanying group), and include the results of the tally in the overnight guest analysis data. For example, the analysis unit 30 may calculate the composition ratio of overnight guests for each accommodation facility (estimated accommodation facility) by user attribute of users of user terminals 4 belonging to the same accompanying group (user attribute of the accompanying group), and include the results of the calculation in the overnight guest analysis data. Examples of user attributes of the accompanying group include gender (female group or male group), age group (each age group), place of residence (each residence group), and nationality (Japanese group or foreign group).

(Example 5 of the overnighter analysis method)
The analysis unit 30 identifies user terminals 4 located in a predetermined nighttime period in the analysis area and analysis period and the location information of the user terminals 4 during the nighttime period based on the user terminal location data. The analysis unit 30 determines whether the location information of the nighttime period differs from the user's residential location indicated by the user attribute data for each identified user terminal 4. If the location information of the nighttime period differs from the user's residential location, it can be estimated that the user stayed overnight at the location of the location information of the nighttime period. The analysis unit 30 extracts location information of the nighttime period (estimated staying place information) that is different from the user's residential location indicated by the user attribute data. If the number of consecutive days of the extracted location information of the nighttime period (estimated staying place information) for the same user terminal 4 exceeds a predetermined upper limit number of days, the analysis unit 30 generates overnighter analysis data by excluding the location information of the nighttime period (estimated staying place information) for the user terminal 4 extracted.

When the number of consecutive days for which the estimated overnight location information for the same user terminal 4 appears exceeds a predetermined upper limit, it can be inferred that the user of that user terminal 4 is staying at the accommodation facility for which the estimated overnight location information appears for a long period of time (long-term guest) or is staying at the accommodation facility for administrative purposes during the night (caretaker). In example 5 of overnighter analysis method, such long-term guests and caretakers are not considered overnighters and are excluded from overnighter analysis data.

(Example 6 of the overnighter analysis method)
The analysis unit 30 identifies user terminals 4 located in a predetermined nighttime period in the analysis area and analysis period and the location information of the user terminals 4 during the nighttime period based on the user terminal location data. The analysis unit 30 determines whether the location information of the nighttime period differs from the user's residential location indicated by the user attribute data for each identified user terminal 4. If the location information of the nighttime period differs from the user's residential location, it can be estimated that the user stayed overnight at the location of the location information of the nighttime period. The analysis unit 30 extracts location information (estimated staying-out place information) of a nighttime period different from the user's residential location indicated by the user attribute data. The analysis unit 30 identifies a visiting area (estimated visiting area) visited by the user of the user terminal 4 based on the location information (terminal location information) in the analysis area and analysis period of the user terminal 4 corresponding to the extracted location information of the nighttime period (estimated staying-out place information). The analysis unit 30 includes information regarding the identified visiting area (estimated visiting area) in the overnighter analysis data.

For example, the analysis unit 30 may identify a tourist facility (estimated tourist facility) visited by a user of the user terminal 4 corresponding to the extracted nighttime position information (estimated overnight stay location information) based on the tourist facility identification data, and include information about the identified tourist facility (estimated tourist facility) in the overnight stay visitor analysis data. The analysis unit 30 may also include information that associates the visiting area (estimated visiting area) or tourist facility (estimated tourist facility) included in the overnight stay visitor analysis data with the user attributes of the user who is estimated to have visited the visiting area (estimated visiting area) or tourist facility (estimated tourist facility) (user attributes of the user corresponding to the estimated overnight stay location information) in the overnight stay visitor analysis data. For example, the analysis unit 30 may tally up the average number of visitors per day by user attributes for each visiting area (estimated visiting area) or tourist facility (estimated tourist facility), and include the results of the tally in the overnight stay visitor analysis data. For example, the analysis unit 30 may calculate the visitor composition ratio by user attributes for each visiting region (estimated visiting region) or tourist facility (estimated tourist facility) and include the calculation results in the overnight visitor analysis data. Examples of user attributes include gender, age, place of residence, nationality, and foreign visitors to Japan.

The analysis unit 30 may also identify the time period (estimated visit time period) when the user of the user terminal 4 visited the visiting area (estimated visiting area) or tourist facility (estimated tourist facility) based on the date and time (terminal location acquisition date and time information) when the location information (terminal location information) of the user terminal 4 corresponding to the extracted nighttime time period (estimated overnight stay location information) was acquired, and include information correlating the identified time period (estimated visit time period) with the visiting area (estimated visiting area) or tourist facility (estimated tourist facility) in the overnight stay guest analysis data. For example, the analysis unit 30 may tally up the average number of visitors per day by estimated visit time period for each visiting area (estimated visiting area) or tourist facility (estimated tourist facility), and include the results of the tally in the overnight stay guest analysis data. For example, the analysis unit 30 may calculate the visitor composition ratio by estimated visit time period for each visiting area (estimated visiting area) or tourist facility (estimated tourist facility), and include the results of the calculation in the overnight stay guest analysis data.

The analysis unit 30 may also include information in the overnight guest analysis data that associates the number of consecutive days for which the extracted nighttime location information (estimated overnight stay location information) for the same user terminal 4 occurs with the identified visiting area (estimated visiting area) or tourist facility (estimated tourist facility) as the number of nights. For example, the analysis unit 30 may tally up the average number of visitors per day by number of nights for each visiting area (estimated visiting area) or tourist facility (estimated tourist facility) and include the tallying results in the overnight guest analysis data. For example, the analysis unit 30 may calculate the visitor composition ratio by number of nights for each visiting area (estimated visiting area) or tourist facility (estimated tourist facility) and include the calculation results in the overnight guest analysis data.

The analysis unit 30 may also classify multiple user terminals 4 that satisfy a predetermined accompaniment determination condition into the same accompaniment group based on the analysis area of the user terminal 4 corresponding to the extracted nighttime location information (estimated overnight location information) and the location information (terminal location information) during the analysis period, and include information associating the information of the accompaniment group with the specified visiting area (estimated visiting area) or tourist facility (estimated tourist facility) in the overnighter analysis data. The accompaniment determination condition is multiple user terminals 4 that maintain a predetermined inter-terminal distance upper limit value for a certain period of time or more during the analysis period. For example, the analysis unit 30 may tally up the average number of visitors per day by the number of user terminals (number of accompanying persons) belonging to one accompaniment group for each visiting area (estimated visiting area) or tourist facility (estimated tourist facility), and include the results of the tally in the overnighter analysis data. For example, the analysis unit 30 may calculate the visitor composition ratio by the number of user terminals (the number of accompanying persons) belonging to one accompanying group for each visiting area (estimated visiting area) or tourist facility (estimated tourist facility), and include the calculation result in the overnighter analysis data. For example, the analysis unit 30 may count the average number of visitors per day by user attributes (user attributes of the accompanying group) of users of user terminals 4 belonging to the same accompanying group for each visiting area (estimated visiting area) or tourist facility (estimated tourist facility), and include the calculation result in the overnighter analysis data. For example, the analysis unit 30 may calculate the visitor composition ratio by user attributes (user attributes of the accompanying group) of users of user terminals 4 belonging to the same accompanying group for each visiting area (estimated visiting area) or tourist facility (estimated tourist facility), and include the calculation result in the overnighter analysis data. Examples of user attributes of accompanying groups include gender (female group or male group), age group (each age group), place of residence (each place of residence group), and nationality (Japanese group or foreign group).

The analysis unit 30 may also identify the order of visit (estimated visit order) of multiple tourist facilities visited by the user of the user terminal 4 based on the analysis area of the user terminal 4 corresponding to the extracted nighttime location information (estimated overnight location information) and the location information (terminal location information) during the analysis period, and include information indicating the identified order of visit (estimated visit order) of visit to multiple tourist facilities in the overnight guest analysis data. For example, the analysis unit 30 may tally up the average number of visitors per day for each order of visit (estimated visit order) of visit to multiple tourist facilities, and include the results of this tally in the overnight guest analysis data. For example, the analysis unit 30 may calculate the visitor composition ratio for each order of visit (estimated visit order) of visit to multiple tourist facilities, and include the results of this calculation in the overnight guest analysis data.

The analysis unit 30 may also identify a visiting distance range (estimated visiting distance range) from the extracted nighttime location information (estimated overnight stay location information) based on the identified visiting area (estimated visiting area), and include information on the identified visiting distance range (estimated visiting distance range) in the overnight stay guest analysis data. The visiting distance range (estimated visiting distance range) is the range of distance from the location of the estimated overnight stay location information to the visiting area (estimated visiting area). For example, the analysis unit 30 may tally up the average number of visitors per day for each visiting distance range (estimated visiting distance range) and include the results of the tally in the overnight stay guest analysis data. For example, the analysis unit 30 may calculate the visitor composition ratio by visiting distance range (estimated visiting distance range) and include the results of the calculation in the overnight stay guest analysis data.

(Example 7 of the overnighter analysis method)
The analysis unit 30 identifies user terminals 4 located in a predetermined nighttime period in the analysis area and analysis period and the location information of the user terminals 4 during the nighttime period based on the user terminal location data. For each identified user terminal 4, the analysis unit 30 determines whether the location information of the nighttime period and the user's residence indicated by the user attribute data are separated by a predetermined distance or more. If the location information of the nighttime period and the user's residence are separated by a predetermined distance or more, it can be estimated that the user stayed overnight at the location of the location information of the nighttime period. The analysis unit 30 extracts location information of the nighttime period that is separated by the predetermined distance or more (estimated overnight location information). The analysis unit 30 generates overnighter analysis data based on the extracted location information of the nighttime period.

The above-mentioned examples 1 to 7 of the overnighter analysis method may be combined as appropriate.

Figures 8, 9, and 10 are diagrams showing examples of the display screen for overnighter analysis data according to this embodiment.

The display screen 100 of overnight guest analysis data shown in FIG. 8 displays the results of tallying the average number of overnight guests per day by age group for each accommodation facility (estimated accommodation facility) in a bar graph. The person requesting the analysis can specify an analysis area in an analysis area specification region 101 provided in the display screen 100. The analysis area specification region 101 displays map data according to the analysis requester's map data loading operation. The map data is acquired from the database 3. The person requesting the analysis specifies the desired analysis area 102 on the map data displayed in the analysis area specification region 101. The person requesting the analysis can also specify an analysis period in a "data period" specification region provided in the display screen 100. The person requesting the analysis can also specify various analysis conditions in various analysis condition specification regions provided in the display screen 100.

The display screen 110 of overnight visitor analysis data shown in FIG. 9 displays the aggregated results of the average number of visitors per day by number of nights for each tourist facility (estimated tourist facility) in a bar graph. The person requesting the analysis can specify an analysis area in an analysis area specification region 111 provided in the display screen 110. The analysis area specification region 111 displays map data according to the analysis requester's map data loading operation. The map data is acquired from the database 3. The person requesting the analysis specifies the desired analysis area on the map data displayed in the analysis area specification region 111. The person requesting the analysis can also specify an analysis period in a "data period" specification region provided in the display screen 110. The person requesting the analysis can also specify various analysis conditions in various analysis condition specification regions provided in the display screen 110.

The display screen 120 of the overnight visitor analysis data shown in FIG. 10 displays the aggregated results of the average number of visitors per day for each visiting distance range (estimated visiting distance range) from the overnight stay location P (location of the estimated overnight stay location information) in a heat map.

According to this embodiment, the information processing device 1 accepts the designation of the analysis area and analysis period to be analyzed, acquires user terminal position data including position information indicating the position of each user terminal 4 in the analysis area and analysis period and date and time information indicating the date and time when each position information was acquired, acquires user attribute data indicating user attributes including the residence of the user of each user terminal 4, identifies user terminals 4 located in a predetermined nighttime period in the analysis area and analysis period based on the user terminal position data and the nighttime period position information of the user terminals 4, determines whether the nighttime period position information differs from the user's residence indicated by the user attribute data for each identified user terminal 4, extracts nighttime period position information different from the user's residence indicated by the user attribute data, generates overnighter analysis data based on the extracted nighttime period position information, and outputs the overnighter analysis data. This provides the effect of being able to perform an analysis of overnighters who stay overnight in the area (analysis area) specified by the analysis requester. For example, an analysis of travelers as overnighters can be performed.

As a result, it will be possible to improve the overall quality of services, for example in analytical services for travelers and other people staying away from home using location data from user devices connected to mobile communications networks, which will contribute to Goal 9 of the United Nations-led Sustainable Development Goals (SDGs) which states, "Build resilient infrastructure, promote sustainable industrialization and foster innovation."

The above describes an embodiment of the present invention in detail with reference to the drawings, but the specific configuration is not limited to this embodiment and includes design modifications within the scope of the present invention.

Also, a computer program for implementing the functions of each of the above-mentioned devices may be recorded on a computer-readable recording medium, and the program recorded on the recording medium may be read into a computer system and executed. Note that the "computer system" referred to here may include hardware such as an OS and peripheral devices. In addition, if a WWW system is used, the "computer system" also includes the home page providing environment (or display environment).
In addition, the term "computer-readable recording medium" refers to a storage device such as a flexible disk, a magneto-optical disk, a ROM, a writable non-volatile memory such as a flash memory, a portable medium such as a DVD (Digital Versatile Disc), or a hard disk built into a computer system.

Furthermore, the term "computer-readable recording medium" includes devices that retain a program for a certain period of time, such as volatile memory (e.g., DRAM (Dynamic Random Access Memory)) within a computer system that serves as a server or client when a program is transmitted via a network such as the Internet or a communication line such as a telephone line.
The program may be transmitted from a computer system in which the program is stored in a storage device or the like to another computer system via a transmission medium, or by a transmission wave in the transmission medium. Here, the "transmission medium" that transmits the program refers to a medium that has a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line.
The program may be a program for implementing some of the above-mentioned functions, or may be a so-called differential file (differential program) that can implement the above-mentioned functions in combination with a program already recorded in the computer system.

1...information processing device, 2...analysis requester terminal, 3...database, 4...user terminal, 11...communication unit, 12...storage unit, 13...control unit, 21...reception unit, 22...user terminal position data acquisition unit, 23...user attribute data acquisition unit, 24...accommodation facility specific data acquisition unit, 25...tourist facility specific data acquisition unit, 30...analysis unit, 31...output unit, NW...mobile communication network

One aspect of the present invention includes a receiving unit that receives designation of an analysis area and an analysis period to be analyzed, a user terminal position data acquiring unit that acquires user terminal position data including position information indicating the position of each user terminal in the analysis area and the analysis period and date and time information indicating the date and time when each position information was acquired, a user attribute data acquiring unit that acquires user attribute data indicating user attributes including a residence of a user of each user terminal, and a user attribute data acquiring unit that identifies user terminals that are located during a predetermined nighttime period in the analysis area and the analysis period based on the user terminal position data and location information of the user terminals during the nighttime period, determines for each identified user terminal whether the location information of the nighttime period differs from the residence of the user indicated by the user attribute data, and determines whether the location information of the nighttime period differs from the residence of the user indicated by the user attribute data. an analysis unit that extracts location information for the nighttime hours and generates overnight guest analysis data based on the extracted location information for the nighttime hours; an output unit that outputs the overnight guest analysis data ; and an accommodation identification data acquisition unit that acquires accommodation identification data including the location of each accommodation in the analysis area and information identifying the accommodation, wherein the analysis unit identifies an accommodation facility corresponding to the extracted location information for the nighttime hours based on the accommodation identification data, and includes information related to the identified accommodation facility in the overnight guest analysis data, and the analysis unit includes information associating the user attributes with the identified accommodation facility in the overnight guest analysis data, and the analysis unit calculates a guest composition ratio by user attribute for each identified accommodation facility, and includes the result of the calculation in the overnight guest analysis data .
One aspect of the present invention is an information processing device in which, in the above-mentioned information processing device, the analysis unit identifies a check-in time of the identified accommodation facility from the date and time when location information satisfying specified check-in judgment conditions was acquired based on location information in the analysis area and analysis period of the user terminal corresponding to the extracted location information for the nighttime hours, and identifies a check-out time of the identified accommodation facility from the date and time when location information satisfying specified check-out judgment conditions was acquired, and includes information correlating the identified check-in time and check-out time with the identified accommodation facility in the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, in which the analysis unit includes information in the overnight guest analysis data that associates the number of consecutive days for which the extracted nighttime location information for the same user terminal corresponds to the number of overnight stays with the identified accommodation facility.
One aspect of the present invention is an information processing device as described above, in which the analysis unit classifies multiple user terminals that satisfy specified accompaniment determination conditions into the same accompaniment group based on the analysis area and location information during the analysis period of the user terminal corresponding to the extracted location information for the nighttime hours, and includes information associating information about the accompaniment group with the identified accommodation facility in the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, wherein the analysis unit, when the number of consecutive days for which the extracted nighttime location information for the same user terminal occurs exceeds a predetermined upper limit number of days, excludes the extracted nighttime location information for the user terminal and generates the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, wherein the analysis unit identifies a region visited by a user of a user terminal corresponding to the extracted location information for the nighttime hours based on the analysis area and location information for the analysis period of the user terminal, and includes information regarding the identified visiting region in the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, further comprising a tourist facility identification data acquisition unit that acquires tourist facility identification data including the location of each tourist facility in the analysis area and information identifying the tourist facility, and the analysis unit identifies tourist facilities visited by users of user terminals corresponding to the extracted location information during the nighttime hours based on the tourist facility identification data, and includes information related to the identified tourist facilities in the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, wherein the analysis unit includes information associating the user attributes with the identified visited area or tourist facility in the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, wherein the analysis unit identifies a time period during which a user of a user terminal visited a visiting area or tourist facility based on the date and time when the location information of the user terminal corresponding to the extracted location information of the nighttime hours was acquired, and includes information associating the identified time period with the visiting area or tourist facility in the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, wherein the analysis unit includes in the overnight guest analysis data information that associates the number of consecutive days for which the extracted nighttime location information for the same user terminal occurs as the number of overnight stays with the identified visited area or tourist facility.
One aspect of the present invention is an information processing device as described above, in which the analysis unit classifies multiple user terminals that satisfy specified accompaniment determination conditions into the same accompaniment group based on the analysis area and location information during the analysis period of the user terminal corresponding to the extracted location information for the nighttime hours, and includes information associating the information on the accompaniment group with the identified visited areas or tourist facilities in the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, wherein the analysis unit identifies a visiting order of multiple tourist facilities visited by a user of a user terminal based on location information for the analysis area and analysis period of the user terminal corresponding to the extracted location information for the nighttime hours, and includes information indicating the visiting order of the identified multiple tourist facilities in the overnight guest analysis data.
One aspect of the present invention is an information processing device as described above, wherein the analysis unit identifies a visiting distance range from the extracted location information for the nighttime hours based on the identified visiting area, and includes information regarding the identified visiting distance range in the overnight guest analysis data.
One aspect of the present invention is an information processing device in which the analysis unit identifies user terminals located during a specified nighttime hour in the analysis area and analysis period based on the user terminal position data, and position information of the user terminals during the nighttime hour for each identified user terminal, determines whether the position information of the nighttime hour and the user's residence indicated by the user attribute data are separated by a specified distance or more, extracts the position information of the nighttime hour that is separated by the specified distance or more, and generates overnight stay user analysis data based on the extracted position information of the nighttime hour.

One aspect of the present invention is an information processing method executed by an information processing device, comprising: a receiving step of receiving designation of an analysis area and an analysis period to be analyzed; a user terminal position data acquisition step of acquiring user terminal position data including position information indicating a position of each user terminal in the analysis area and the analysis period and date and time information indicating a date and time when each position information was acquired; a user attribute data acquisition step of acquiring user attribute data indicating a user attribute including a residence of a user of each user terminal; identifying a user terminal located in a predetermined nighttime time zone in the analysis area and the analysis period based on the user terminal position data and position information of the user terminal during the nighttime time zone, determining for each identified user terminal whether the position information of the nighttime time zone differs from the residence of the user indicated by the user attribute data, and This information processing method includes an analysis step of extracting location information for the in-between hours and generating overnight guest analysis data based on the extracted location information for the nighttime hours, and an output step of outputting the overnight guest analysis data , and further includes an accommodation identification data acquisition step of acquiring accommodation identification data including the location of each accommodation in the analysis area and information identifying the accommodation, wherein the analysis step identifies an accommodation corresponding to the extracted location information for the nighttime hours based on the accommodation identification data, and includes information regarding the identified accommodation in the overnight guest analysis data, the analysis step includes information associating the user attributes with the identified accommodation in the overnight guest analysis data, and the analysis step calculates a guest composition ratio by user attribute for each identified accommodation, and includes the result of the calculation in the overnight guest analysis data .

Claims (17)

A reception unit that receives designation of an analysis area and an analysis period to be analyzed;
a user terminal position data acquisition unit that acquires user terminal position data including position information indicating the position of each user terminal in the analysis area and the analysis period and date and time information indicating the date and time when each piece of position information was acquired;
a user attribute data acquisition unit that acquires user attribute data indicating user attributes including a residence of a user of each user terminal;
an analysis unit that identifies user terminals located in a predetermined nighttime period in the analysis area and the analysis period based on the user terminal position data and location information of the user terminals during the nighttime period, determines for each identified user terminal whether the location information of the nighttime period differs from the user's place of residence indicated by the user attribute data, extracts location information of the nighttime period that differs from the user's place of residence indicated by the user attribute data, and generates overnighter analysis data based on the extracted location information of the nighttime period;
an output unit that outputs the overnight guest analysis data;
An information processing device comprising: An accommodation facility identification data acquisition unit that acquires accommodation facility identification data including information identifying the location of each accommodation facility and the accommodation facility in the analysis area,
The analysis unit identifies an accommodation facility corresponding to the extracted location information of the nighttime period based on the accommodation facility identification data, and includes information about the identified accommodation facility in the overnight guest analysis data.
The information processing device according to claim 1 . The analysis unit includes information associating the user attributes with the identified accommodation facility in the overnight guest analysis data.
The information processing device according to claim 2 . The analysis unit specifies a check-in time of the specified accommodation facility from a date and time when the location information satisfying a predetermined check-in determination condition was acquired based on the location information in the analysis area and the analysis period of the user terminal corresponding to the extracted location information of the nighttime hours, and specifies a check-out time of the specified accommodation facility from a date and time when the location information satisfying a predetermined check-out determination condition was acquired, and includes information correlating the specified check-in time and check-out time with the specified accommodation facility in the overnight guest analysis data.
The information processing device according to claim 2 . The analysis unit includes in the overnight guest analysis data information associating the number of consecutive days of the extracted nighttime location information for the same user terminal with the identified accommodation facility as the number of overnight stays.
The information processing device according to claim 2 . The analysis unit classifies a plurality of user terminals that satisfy a predetermined accompaniment determination condition into the same accompaniment group based on the location information in the analysis area and the analysis period of the user terminal corresponding to the extracted location information of the nighttime period, and includes information that associates the information of the accompaniment group with the identified accommodation facility in the overnight guest analysis data.
The information processing device according to claim 2 . When the number of consecutive days of the extracted nighttime location information for the same user terminal exceeds a predetermined upper limit number of days, the analysis unit excludes the extracted nighttime location information for the user terminal and generates the overnight stayer analysis data.
The information processing device according to claim 1 . The analysis unit identifies a visiting area visited by a user of the user terminal based on the analysis area of the user terminal corresponding to the extracted location information of the nighttime period and the location information during the analysis period, and includes information regarding the identified visiting area in the overnight guest analysis data.
The information processing device according to claim 1 . A tourist facility identification data acquisition unit that acquires tourist facility identification data including information identifying the location of each tourist facility and the tourist facility in the analysis area,
The analysis unit identifies a tourist facility visited by a user of a user terminal corresponding to the extracted location information during the nighttime hours based on the tourist facility identification data, and includes information regarding the identified tourist facility in the overnight guest analysis data.
The information processing device according to claim 8. The analysis unit includes information associating the user attributes with the identified visiting region or tourist facility in the overnight guest analysis data.
The information processing device according to claim 8 . The analysis unit identifies a time period in which the user of the user terminal visited a visiting area or a tourist facility based on a date and time when the location information of the user terminal corresponding to the extracted location information of the nighttime period was acquired, and includes information correlating the identified time period with the visiting area or the tourist facility in the overnight guest analysis data.
The information processing device according to claim 8 . The analysis unit includes information in the overnight guest analysis data that associates the number of consecutive days of the extracted nighttime location information for the same user terminal with the identified visiting region or tourist facility as the number of nights.
The information processing device according to claim 8 . The analysis unit classifies a plurality of user terminals that satisfy a predetermined accompaniment determination condition into the same accompaniment group based on the analysis area and the location information of the user terminal corresponding to the extracted location information of the nighttime period, and includes information that associates the information of the accompaniment group with the identified visiting area or tourist facility in the overnight guest analysis data.
The information processing device according to claim 8 . The analysis unit identifies a visiting order of a plurality of tourist facilities visited by the user of the user terminal based on the location information of the user terminal in the analysis area and the analysis period corresponding to the extracted location information of the nighttime period, and includes information indicating the visiting order of the identified plurality of tourist facilities in the overnight guest analysis data.
The information processing device according to claim 9. The analysis unit identifies a visiting distance range from the extracted nighttime time period location information based on the identified visiting area, and includes information regarding the identified visiting distance range in the overnight guest analysis data.
The information processing device according to claim 8. The analysis unit identifies user terminals located in a predetermined nighttime period in the analysis area and the analysis period based on the user terminal position data, and location information of the user terminals during the nighttime period, determines for each identified user terminal whether the location information of the nighttime period and the user's residence indicated by the user attribute data are separated by a predetermined distance or more, extracts the location information of the nighttime period that is separated by the predetermined distance or more, and generates overnight stayer analysis data based on the extracted location information of the nighttime period.
The information processing device according to claim 1 . An information processing method executed by an information processing device,
A reception step of receiving a designation of an analysis area and an analysis period to be analyzed;
a user terminal location data acquisition step of acquiring user terminal location data including location information indicating the location of each user terminal in the analysis area and the analysis period and date and time information indicating the date and time when each piece of location information was acquired;
A user attribute data acquisition step of acquiring user attribute data indicating user attributes including a residence of a user of each user terminal;
an analysis step of identifying user terminals located in a predetermined nighttime period in the analysis area and the analysis period based on the user terminal position data and location information of the user terminals during the nighttime period, determining for each identified user terminal whether the location information of the nighttime period differs from the user's place of residence indicated by the user attribute data, extracting location information of the nighttime period that differs from the user's place of residence indicated by the user attribute data, and generating overnighter analysis data based on the extracted location information of the nighttime period;
an output step of outputting the overnighter analysis data;
An information processing method comprising:

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