JP6943436B2 - Visitor regional characteristic analysis system and its program - Google Patents

Description

The present invention relates to a system for analyzing regional characteristics, and in particular, the area of the area or site based on the residential area or commuting / schooling place of a person (visitor) who visited or stayed at the area or site to be analyzed. Regarding the regional characteristic analysis system of visitors who analyze the characteristics and its program.

[Conventional technology]
Some conventional regional analysis systems analyze the area to be analyzed based on statistical information and the like.

[Related technology]
As related prior art documents, Japanese Patent Application Laid-Open No. 2007-219655 “Facilities Information Management System, Facility Information Management Method and Facility Information Management Program” (Patent Document 1), Japanese Patent Application Laid-Open No. 2011-171876 “For the movement of users” Accompanying form Terminal, server, program and method for estimating address / location ”(Patent Document 2), Japanese Patent Application Laid-Open No. 2012-150786“ Profiling System Utilizing Regional Characteristics ”(Patent Document 3), Japanese Patent Application Laid-Open No. 2013-540300 There is a publication "Aggregation of Population Distribution Information" (Patent Document 4).

Patent Document 1 describes a system that displays map information centered on an area with many operating facilities.
Patent Document 2 describes a system that estimates a user's address / whereabouts by using the location information of a mobile terminal.

Patent Document 3 describes a system that analyzes regional characteristics using profiling data of regional characteristics and reports the regional characteristics of a specific area.
Patent Document 4 describes a method of monitoring a user device in a location registration area and generating a population distribution map accompanying movement.

JP-A-2007-219655 Japanese Unexamined Patent Publication No. 2011-171876 Japanese Unexamined Patent Publication No. 2012-150786 Special Table 2013-540300

However, in the above-mentioned conventional regional analysis system, regional characteristics may be analyzed using statistical data of residents regarding the area to be analyzed, but the area where many people come and go, for example, the area in front of the station, is analyzed. There was a problem that the characteristics of the residents of the area did not analyze the characteristics of the area in consideration of fluidity.

It should be noted that Patent Documents 1 to 4 do not describe the analysis of regional characteristics based on the area of origin of the visitor or resident who flows into the analysis target area.

The present invention has been made in view of the above circumstances, and the characteristics of the analysis target area or site are obtained by utilizing the regional characteristics of the birthplace (base area) of the visitor who enters or exits or accesses the analysis target area or site. It is an object of the present invention to provide a visitor's regional characteristic analysis system and its program that can accurately analyze the regional characteristics of a highly liquid area or site.

The present invention for solving the problems of the above-mentioned conventional example is a regional characteristic analysis system that analyzes regional characteristics of a specific area, and specifies an action log storage unit that stores behavior log data of visitors in the specific area. The statistical information storage unit that stores the statistical information of the base area that is the basis of the visitors of the area and the behavior log storage unit identify the visitors who visited the specific area and store the statistical information about the base area of the specified visitor. Obtain statistical information by referring to the department, calculate the usage rate of the acquired statistical information according to the number of visitors, calculate virtual statistical data of a specific area according to the usage rate, and calculate. It is characterized by having an analysis server that can be used for analysis of regional characteristics in a specific area.

The present invention is characterized in that, in the above-mentioned regional analysis system, the statistical information in the base area uses the information of the age when the terminal that provides the action log data has a specific ratio or more.

The present invention is characterized in that, in the above-mentioned regional analysis system, in the analysis of regional characteristics, the area to be compared with the specific area is limited to the area where the action log data is acquired in a specific ratio or more.

In the above-mentioned regional analysis system, the analysis server calculates the principal component factors and parameters of the analysis target area based on the principal component factors and parameters analyzed by the principal component analysis from the statistical information of the visitor's base area. , The factor and the parameter are used to perform a cluster analysis of the analysis target area, and the cluster analysis result can be compared with the cluster analysis result of the comparison target area.

The present invention is a regional characteristic analysis system that analyzes regional characteristics of a specific site, and has an action log storage unit that stores access log data of visitors to the specific site and a base area that is the basis of visitors to the specific site. A visitor who visited a specific site is identified from the statistical information storage unit that stores statistical information and the action log storage unit, and statistical information is acquired by referring to the statistical information storage unit for the base area of the identified visitor. It is possible to calculate the usage rate of the acquired statistical information according to the number of visitors, calculate virtual statistical data of a specific site according to the usage rate, and use it for analysis of regional characteristics at a specific site. It is characterized by having an analysis server.

The present invention is characterized in that, in the above-mentioned regional analysis system, the statistical information in the base area uses the information of the age when the terminal that provides the access log data has a specific ratio or more.

In the above-mentioned regional analysis system, the analysis server calculates the principal component factors and parameters of the analysis target area based on the principal component factors and parameters analyzed by the principal component analysis from the statistical information of the visitor's base area. , The factor and the parameter are used to perform a cluster analysis of the analysis target area, and the cluster analysis result is used as a cluster analysis result of regional characteristics at a specific site.

The present invention is a program of an analysis server of a regional characteristic analysis system that analyzes regional characteristics of a specific area, and the analysis server visits a specific area from an action log storage unit that stores behavior log data of visitors in the specific area. Obtain statistical information by referring to the visitor identification means for identifying the specified visitor and the statistical information storage unit that stores the statistical information of the base area that is the basis of the visitor in the specific area for the specified visitor's base area. Calculate the usage rate of the statistical information acquired according to the number of visitors and the statistical information acquisition means to be performed, calculate the virtual statistical data of the specific area according to the usage rate, and calculate the area in the specific area. to function as a virtual statistical data calculating means for available for analysis of characteristic features and Turkey.

The present invention is characterized in that, in the above program, the statistical information in the base area uses the information of the age when the terminal that provides the action log data has a specific ratio or more.

The present invention is characterized in that, in the above program, in the analysis of regional characteristics, the area to be compared with the specific area is limited to the area where the action log data is acquired in a specific ratio or more.

In the above program, in the above program, the virtual statistical data calculation means determines the principal component factors and parameters of the analysis target area based on the principal component factors and parameters analyzed from the statistical information of the visitor's base area. It is characterized in that it is possible to calculate and perform cluster analysis of the analysis target area using the factors and parameters, and to compare the cluster analysis result with the cluster analysis result of the comparison target area.

The present invention is a program of an analysis server of a regional characteristic analysis system that analyzes regional characteristics of a specific site, and the analysis server visits a specific site from an action log storage unit that stores access log data of visitors to the specific site. Obtain statistical information by referring to the visitor identification means for identifying the identified visitor and the statistical information storage unit that stores the statistical information of the base area that is the basis of the visitor of the specific site for the identified visitor's base area. Calculate the usage ratio of the statistical information acquired according to the number of visitors and the statistical information acquisition means to be performed, calculate the virtual statistical data of the specific site according to the usage ratio, and the area at the specific site. to function as a virtual statistical data calculating means for available for analysis of characteristic features and Turkey.

The present invention is characterized in that, in the above program, the statistical information in the base area uses the information of the age when the terminal that provides the access log data has a specific ratio or more.

In the above program, in the above program, the virtual statistical data calculation means determines the principal component factors and parameters of the analysis target area based on the principal component factors and parameters analyzed from the statistical information of the visitor's base area. It is characterized in that it is calculated, cluster analysis of the analysis target area is performed using the factors and parameters, and the cluster analysis result is used as the cluster analysis result of regional characteristics at a specific site.

According to the present invention, the analysis server identifies a visitor who has visited a specific area from the action log storage unit, obtains statistical information about the base area of the specified visitor by referring to the statistical information storage unit, and visits. Calculate the usage rate of the acquired statistical information according to the number of people, calculate the virtual statistical data of the specific area according to the usage rate, and make it available for analysis of regional characteristics in the specific area. Since it is a regional characteristic analysis system, it has the effect of being able to accurately analyze regional characteristics in highly fluid areas.

According to the present invention, the analysis server identifies a visitor who has visited a specific site from the action log storage unit, obtains statistical information about the base area of the identified visitor by referring to the statistical information storage unit, and visits the site. Calculate the usage rate of the acquired statistical information according to the number of people, calculate the virtual statistical data of the specific site according to the usage rate, and make it available for analysis of regional characteristics at the specific site. Since it is a regional characteristic analysis system, it has the effect of being able to accurately analyze the regional characteristics of the accessed site.

It is a block diagram of the structure of this system. It is a figure which shows the relationship between the base area of a visitor and the analysis target area. It is explanatory drawing in the case of calculating the virtual number of men and women of area X by a visitor. It is the schematic which shows the example of the use restriction of statistical data. It is the schematic which shows the example of the use restriction of area data. It is the schematic which shows the example which made the area wide area. It is a flowchart which shows the virtual data acquisition process of area X. It is a block diagram of another system. It is a schematic diagram which shows the area identification table. It is a flowchart which shows the virtual data acquisition process of site Y.

Embodiments of the present invention will be described with reference to the drawings.
[Outline of Embodiment]
The visitor regional characteristic analysis system (this system) according to the embodiment of the present invention is based on regional characteristics such as statistical information of the home area (base area) of the visitor who stays or visits the analysis target area or site. The ratio of use of the statistical information, etc. is calculated according to the number of visitors, and the virtual regional characteristics of the analysis target area or site are calculated according to the ratio, and the regional characteristics in the analysis target area or site are used as the person. It is possible to accurately obtain the characteristics of a highly fluid area or site based on the visitor's base area.

[This system: Fig. 1]
The configuration of this system will be described with reference to FIG. FIG. 1 is a block diagram of the configuration of this system.
As shown in FIG. 1, this system includes a regional characteristic analysis server 1, an action log database (DB) 21, a statistical database (DB) 22, and an area characteristic database (DB) 23, and is a personal computer. (PC) 4 is connected to the regional characteristic analysis server 1 via the network 3.

In FIG. 1, only one PC4 is connected, but in reality, a plurality of PC4s are connected.
Further, although each DB is directly connected to the regional characteristic analysis server 1, each DB may be connected to the regional characteristic analysis server 1 via the network 3.
Further, although this system is premised on network connection, it may be a stand-alone system that realizes the configuration shown in FIG. 1 with a single computer.

In this system, the action logs (position information and time information) of a plurality of visitors who visit the area to be analyzed are stored in advance in the action log DB 21, and the statistical information of the visitor base area described later is stored in the statistical DB 22. It is memorized and the virtual statistical data (regional characteristic data) of the area to be analyzed is calculated based on the statistical information of the base area of the visitor. This regional characteristic data is stored in the area characteristic DB 23.
Then, for example, a marketing person compares regional characteristic data with actual statistical information of other areas to analyze regional characteristics.

Then, the visitor's action log is obtained by the function of GPS (Global Positioning System) in the user's terminal device such as a smartphone, and the company that acquires and manages the information associates the action log information with the user ID. Is provided to the regional characteristic analysis server 1, and the regional characteristic analysis server 1 stores it in the action log DB 21.

[Each part of this system]
Next, each part of this system will be specifically described.
[Regional characteristic analysis server 1]
As shown in FIG. 1, the regional characteristic analysis server 1 includes a control unit 11, a storage unit 12, and an interface unit 13.
The storage unit 12 stores a processing program and information necessary for processing.
The interface unit 13 is an interface for connecting to the network 3 and connecting to each DB.
The control unit 11 reads and operates the processing program stored in the storage unit 12, and realizes a visitor identification means, a statistical information acquisition means, a virtual statistical data calculation means, and the like, which will be described later.

[Action log DB21]
The action log DB 21 stores a history of position information by a GPS function or the like provided by a terminal device used by a user (visitor).
Specifically, the history of time information and position information is stored in association with the ID (user ID) of the user's terminal device.
Here, the user includes at least a person (visitor) who visits the analysis target area. Therefore, the user ID of the visitor is the "visitor ID".

[Statistics DB22]
The statistical DB 22 stores statistical information in the administrative world or a specific mesh area nationwide.
Statistical information is data obtained from national censuses and other statistical information such as the area's gender ratio, population composition by age group, number of generations, annual income and consumption trends for each generation.
In addition, the statistical information includes facility data such as store sales data, store sales floor area, store parking lot area, and various other data associated with the area.
Further, as will be described later, the statistical information includes the factors, parameters, etc. of the principal components analyzed by the principal components from the statistical information of the area.

[Area characteristic DB23]
The area characteristic DB 23 stores the virtual statistical data of the analysis target area obtained by the regional characteristic analysis server 1, and further stores the comparison result between the virtual statistical data and the statistical information of the comparison target area. You may do it. The virtual statistical data will be described later.
The comparison target area may be a prefecture area, a national area, or an arbitrary area.

[Network 3, PC4]
The network 3 is assumed to be the Internet, but may be a closed network using a dedicated line.
The PC 4 includes a control unit, a storage unit, a display unit, an input unit, etc., accesses the regional characteristic analysis server 1, sets the analysis target area, analysis target time zone, analysis method, etc., and regional characteristics in the analysis target area. An instruction is given to calculate the virtual statistical data to be obtained, and the virtual statistical data of the calculation result is displayed on the display unit.

[Analysis processing]
Next, the analysis process of regional characteristics in this system will be described with reference to FIG. FIG. 2 is a diagram showing the relationship between the base area of the visitor and the analysis target area.
As shown in FIG. 2, a visitor who visited (stayed), for example, a mesh-shaped area X near a station at a specific time zone on a specific day is specified, and the base area of the visitor is obtained.

The base area refers to an area where the visitor is staying at a specific time zone, for example, at night or in the daytime, based on the history of the visitor's position information stored in the action log DB 21.
In this way, the base area may be recognized as the residential area of the visitor, or may be recognized as the accommodation area of the previous day. The method of certifying the base area differs depending on the day of the week and the time of day when the visitor stayed in the base area. Then, the area certified as the base area is used as the basis of the analysis.
In FIG. 2, the base area of the visitor a is the area A, the base area of the visitor b is the area B, and the base area of the visitor c is the area C.

[Calculation of regional characteristic data: Fig. 3]
Next, FIG. 3 shows a method of calculating virtual regional characteristic data when a visitor a1 (1 person) from area A and visitors b1 and b2 (2 people) from area B visit area X to be analyzed. It will be explained with reference to it. FIG. 3 is an explanatory diagram when calculating the number of virtual men and women in area X by visitors.
First, as statistical information, there are 400 men and 600 women based in area A, and the ratio of men and women is 40%: 60% for men: women. In addition, there are 30 men and 70 women based in area B, and the ratio of men and women is 30%: 70% for men: women.
This system uses statistical information according to the number of visitors.

Then, the number of visitors from each area is calculated based on the ratio of men and women (male / female ratio) in the statistical information.
Since one of the visitors a1 from the area A visited the area X, it is assumed that the visitor a1 is 0.4 males and 0.6 females.
Similarly, since two visitors b1 and b2 from area B visited area X, the two were 0.6 (= 0.3 × 2) male and 1.4 (= 0.7 × 2) female. ) Suppose a person visits.

The assumed number of men and women is added to make 1.0 male (= 0.4 + 0.6) and 2.0 female (= 0.6 + 1.4).
That is, the statistical information of each area is used based on (the number of visitors in the base area) / (the total number of visitors), and this indicates the ratio of the use of the statistical information.
Here, the obtained 1.0 male and 2.0 female are the virtual number of visitors (virtual number) in the area X. The virtual number of people constitutes virtual statistical data in the area X and becomes regional characteristic data.

The virtual statistical data of the analysis target area X calculated in this way is compared with the actual statistical information of other comparison target areas, and the differences and commonalities are summarized in a report for analysis. conduct.
The comparison target area may be an area having a size different from that of the area X, or may be an area X. That is, the calculated statistical data of the area X may be compared with the actual statistical information of the area X.
Further, the virtual statistical data of a specific analysis target area may be compared with the virtual statistical data of another analysis target area.
Further, the comparison process may be executed by the program process of the control unit 11.

[Calculation of different regional characteristic data]
Similarly, for the data on the number of households and consumption trends by annual income (for each annual income), the number of visitors is based on the data on the number of households and consumption trends by annual income, which is also statistical information in the base area of visitors. According to this, data on the number of households and consumption trends by annual income by visitors in the analysis target area X is calculated.

[Number of households by annual income]
The number of households for each annual income of visitors to the analysis target area X is calculated from the number of households for each annual income in the base area.
The annual income of each household in the statistical information in the base area is, for example, 0 yen or more and less than 1 million yen, 1 million yen or more and less than 2 million yen, and so on. .. Calculate the number of households by annual income for each visitor in the base area. The total number of households is "1".
Furthermore, the number of households for each annual income of visitors in the analysis target area is calculated as virtual statistical data (regional characteristic data) by multiplying the number of visitors for each base area and totaling them.

[Consumption trend data]
The consumption trend data is the number of households for each consumption amount for consumption items such as food and clothing. Therefore, the number of households for each consumption amount of visitors in the analysis target area X is calculated from the number of households for each consumption amount for each consumption item in the base area.
As for the consumption trend data of the statistical information in the base area, for example, the number of households in the base area is aggregated for each consumption amount of a specific range for consumption items such as food expenses and clothing expenses. Calculate the number of households for each consumer item consumption amount for each visitor in the base area. The total number of households is also "1".
Furthermore, the consumption trend data of the visitors in the analysis target area is calculated as virtual statistical data (regional characteristic data) by multiplying the number of visitors for each base area and totaling them.

[Analysis of trade area area]
The analysis process may be performed using the analysis target area as a trade area area, and the comparison target area may also be compared as a trade area area.
In this case, analysis processing and comparison processing can be performed using facility data such as store sales data, store sales floor area, and parking lot area from the statistical information.
The area to be compared may be all over Japan, prefectures, cities, wards, cities, towns and villages, etc., and may be compared with the average value.

[Application to profiling]
It can also be applied to profiling processing.
Factors, parameters, etc. identified from the principal components analyzed from the statistical information in the base area can be calculated as the factors, parameters, etc. of the visitor as regional characteristics in the analysis target area instead of the statistical information. .. These factors and parameters can be compared with those of other areas (comparison target areas).

In addition, it is possible to perform cluster analysis based on the factors and parameters of the main components of the visitor in the analysis target area, obtain the cluster number, compare it with the cluster number in the comparison target area, and grasp the regional characteristics.
Thus, this embodiment can be applied to profiling regional characteristics.
The profiling system is described in Patent Document 3.

[Restrictions on the use of statistical data: Fig. 4]
Next, restrictions on the use of statistical data will be described with reference to FIG. FIG. 4 is a schematic diagram showing an example of restrictions on the use of statistical data.
Since it is the age group that owns a smartphone that can be identified as a visitor from the base area, the accuracy of the statistical data can be improved by excluding the age group that does not have a smartphone when referring to the statistical information of the base area. It is meant to be improved.

In the example of FIG. 4, regarding the statistical information of the population by age group, the population aged 10 to 79 years old possessed by a smartphone is used, and the statistical information of other age groups is excluded.
In this way, when excluded from the statistical information in the base area, it is reflected in the statistical data in the analysis target area, so the statistical information in the comparison target area also excludes the age group that does not have a smartphone and compares. I am trying to improve the accuracy of.

[Restrictions on the use of area data: Fig. 5]
Next, an example of restriction on the use of area data will be described with reference to FIG. FIG. 5 is a schematic view showing an example of restriction on the use of area data.
By limiting the comparison target area to the area where the position information of the smartphone can be captured, the accuracy of the comparison can be improved.

In FIG. 5, the action log data by the smartphone in the four shaded mesh areas in the comparison target area can be acquired at a high ratio (greater than or equal to the value of a specific ratio), but it is less than the value of a specific ratio in the other mesh areas. It has become. In such a case, only the shaded mesh area is used as the comparison target area.

[Example of wide area analysis target area: Fig. 6]
Next, an example in which the area X is widened will be described with reference to FIG. FIG. 6 is a schematic view showing an example in which the area is widened.
In FIG. 6, the base area is defined as areas A, B, and C, and the analysis target area X is defined as a wider area than the area. Regional characteristic data is generated by visitors from base areas A, B, and C whose analysis target area X is a small unit. The base area may be inside or outside the area X.

[Virtual data acquisition process: Fig. 7]
Next, the virtual data acquisition process of the analysis target area X will be described with reference to FIG. 7. FIG. 7 is a flowchart showing the virtual data acquisition process of the area X.
When the control unit 11 of the regional characteristic analysis server 1 reads the processing program of the storage unit 12 and the virtual data acquisition process is started, the visitor identification means acquires the ID of the visitor at the specific date and time in the analysis target area X. To identify the visitor (S1).

Then, the statistical information acquisition means identifies the base area of the acquired visitor ID (S2), and acquires the statistical information of the base area (S3). Further, the virtual statistical data calculation means calculates the virtual statistical data of the analysis target area X (S4).
Further, the statistical information of the comparison target area is compared with the virtual statistical data of the analysis target area X, a report as a comparison result is generated (S5), and the process is terminated.

[Another system: Fig. 8]
Next, another system (another system) according to the embodiment of the present invention will be described with reference to FIG. FIG. 8 is a block diagram of another system.
Another system targets sites on the network rather than areas. In the other system, access log data to the site is stored in a specific period or a specific time zone, and calculation is performed using the access log data to obtain the regional characteristics of the site.

In another system, based on the present system of FIG. 1, as shown in FIG. 8, the site providing server 5 is connected to the network 3, and the provider device (provider) 6 is further connected to the network 3.
Router devices (routers) 7a, 7b, and 7c are connected to the provider 6 by wire or wirelessly.
Further, the smartphone 8a and the personal computer (PC) 8b are connected to the router 7a, and the smartphone 8c is connected to the router 7c.
For the sake of simplicity, the minimum number of terminal devices connected to the router is drawn, but originally many terminal devices such as PCs and smartphones are connected. Further, a plurality of terminal devices are originally connected to the router 8b.

The area including the wired or wireless communication areas of the routers 7a and 7b is the area A, and the wired or wireless communication area of the router 7c is the area B.
Here, areas A and B are assumed to be postal code areas, but may be smaller or larger unit areas. Further, the area may be specified by the administrative world or the mesh.

In another system, when a terminal device belonging to an area accesses (visits) a site (analysis target site) provided by the site providing server 5, the visited terminal device is regarded as a "visitor" and the visitor Based on the regional characteristics such as statistical information of the area to which you belong (origin area / base area), the ratio of use of the statistical information etc. is calculated according to the number of visitors, and the analysis target site is virtualized according to the ratio. The purpose is to find out the regional characteristics and evaluate the analysis target site to improve the analysis accuracy. The statistical information includes the number of households for each annual income, consumption trend data, and the like.

[Area identification: Fig. 9]
Next, a method of specifying the area of the terminal device to be accessed will be described with reference to FIG. FIG. 9 is a schematic view showing an area identification table.
A global IP address (G-IP address: sometimes simply referred to as an IP address) is assigned to the router 7, and the area identification table manages which area the arranged router belongs to.

The area identification table is stored in the storage unit 12 of the regional characteristic analysis server 1 or the connected DBs 21 to 23, and as shown in FIG. 9, the IP address of the router 7 corresponding to the area information is stored.
Specifically, the G-IP address (IP0001) of the router 7a and the G-IP address (IP0002) of the router b are associated with the area A, and the G-IP address (IP0003) of the router 7c is associated with the area B. Has been done.

When the terminal device accesses the site, the site providing server 5 acquires the ID (identification number) of the terminal device and the IP address of the router and transmits the ID (identification number) and the IP address of the router to the regional characteristic analysis server 1.
The regional characteristic analysis server 1 stores the transmitted ID of the terminal device and the IP address of the router in the action log DB 21 together with the time information.

Then, the regional characteristic analysis server 1 refers to the stored area identification table and identifies the area from the IP address of the router. This area is the base area for visitors. Then, the regional characteristic analysis server 1 acquires the area information of the base area of the visitor and stores it in the action log DB 21 in association with the ID of the terminal device.
In the case of a smartphone, since the area is moved, the area information may change depending on the time.

After that, as in this system, the virtual statistical data (regional characteristic data) of the analysis target site is calculated from the statistical information of the visitor's base area, and the analysis target site is evaluated.
Therefore, each means realized by the program processing by the control unit 11 of the regional characteristic analysis server 1 operates almost as it is. A processing portion different from this system in the processing of each means in another system will be described in the processing of FIG.

[Virtual data acquisition process in another system: Fig. 10]
Next, the virtual data acquisition process in another system will be described with reference to FIG. FIG. 10 is a flowchart showing the virtual data acquisition process of the site Y.
When the regional characteristic analysis server 1 reads the processing program stored in the storage unit 12 and starts the virtual data acquisition process, the visitor identification means uses the ID of the visitor at the specific date and time on the analysis target site Y and the router. Acquire an IP address to identify a visitor (S11).

Then, the statistical information acquisition means identifies the base area of the visitor based on the acquired IP address of the router (S12), and acquires the statistical information of the base area (S13). Further, the virtual statistical data calculation means calculates the virtual statistical data of the analysis target site Y (S14).
Further, an analysis report using the regional characteristics of the visitor (virtual statistical data of the analysis target site Y) is generated for the analysis target site Y (S15), and the process is completed.

As explained in this system, the report includes the ratio of men and women by the visitors of the analysis target site Y, the number of households by annual income, data on consumption trends, and other analysis results.
In addition, it may be applied to statistical data usage restrictions, trade area area analysis, and profiling that were also performed in this system.

In the analysis of the trade area area in another system, the trade area area is analyzed from the statistical information of the analysis target site Y based on the base area, and the analysis target (comparison target) site Z is analyzed from the statistical information based on the base area. The trade area may be analyzed and the two may be compared.
In addition, the comparison target may be the average value in areas such as all over Japan, prefectures, and municipalities.

In the application to profiling in another system, the factors, parameters, etc. analyzed by the principal component from the statistical information in the base area for the analysis target site and the comparison target site are used instead of the statistical information, and the factors, parameters, etc. of the visitor on the site. The cluster analysis result may be calculated as, and the cluster analysis result may be compared between the analysis target site and the comparison target site.

In this system, the area is specified based on the location information of the terminal device such as GPS, but in another system, the area is specified using the IP address of the router, so a PC or mobile phone that does not have a GPS function. Terminals can also be targeted.
Further, in this system as well, the position information may be acquired based on the IP address of the router as in another system, and the position information using GPS or the like in this system may be used in another system. You may.

[Effect of Embodiment]
According to this system, the regional characteristic analysis server 1 obtains regional characteristic data based on the statistical information of the base area of the visitor (visitor or resident) for the analysis target area, and visits the analysis target area. Since it is possible to compare the regional characteristic data of a person with statistical information of other areas, it is possible to obtain appropriate regional characteristics in areas where there is a large flow of people and the mobility of people is high, and it is possible to obtain more regional characteristics. It has the effect of improving the analysis accuracy.

According to another system, the regional characteristic analysis server 1 obtains regional characteristic data based on the statistical information of the base area of the visitor (visitor) for the analysis target site, and obtains the regional characteristic data of the visitor at the analysis target site. Since the analysis using the regional characteristic data can be performed, there is an effect that the analysis accuracy of the site can be improved by utilizing the regional characteristics of the visitor when visiting the site.

The present invention is a visitor's regional characteristic analysis system that can accurately analyze the regional characteristics of a highly liquid area by obtaining the characteristics of the analysis target area by utilizing the regional characteristics of the base area of the visitor entering and exiting the analysis target area. And its program.

1 ... Regional characteristic analysis server, 3 ... Network, 4 ... Personal computer (PC), 5 ... Site providing server, 6 ... Provider device, 7a, 7b, 7c ... Router device, 8a, 8c ... Smartphone, 8b ... PC, 11 ... control unit, 12 ... storage unit, 13 ... interface unit, 21 ... action log database (DB), 22 ... statistical database (DB), 23 ... area characteristic database (DB)

Claims (14)

It is a regional characteristic analysis system that analyzes the regional characteristics of a specific area.
An action log storage unit that stores the action log data of visitors in the specific area,
A statistical information storage unit that stores statistical information of the base area, which is the basis of visitors to the specific area,
A visitor who visited the specific area is specified from the action log storage unit, statistical information is acquired by referring to the statistical information storage unit for the base area of the specified visitor, and according to the number of the visitor. An analysis server that calculates the usage rate of the acquired statistical information, calculates virtual statistical data of the specific area according to the usage rate, and makes it available for analysis of regional characteristics in the specific area. A regional characteristic analysis system characterized by having and. The regional characteristic analysis system according to claim 1, wherein the statistical information in the base area uses information of the age group in which the terminals that provide the action log data have a specific ratio or more. The regional characteristic analysis system according to claim 1 or 2, wherein in the analysis of regional characteristics, the area to be compared with the specific area is limited to the area where the action log data is acquired in a specific ratio or more. The analysis server calculates the principal component factors and parameters of the analysis target area based on the principal component factors and parameters analyzed from the statistical information of the visitor's base area, and uses the factors and parameters to perform the analysis. The regional characteristic analysis system according to any one of claims 1 to 3, wherein a cluster analysis of a target area is performed and the cluster analysis result is used as a cluster analysis result of a specific area. It is a regional characteristic analysis system that analyzes the regional characteristics of a specific site.
An action log storage unit that stores access log data of visitors to the specific site,
A statistical information storage unit that stores statistical information of the base area that is the basis of visitors to the specific site,
A visitor who visited the specific site is specified from the action log storage unit, statistical information is acquired by referring to the statistical information storage unit for the base area of the specified visitor, and according to the number of the visitor. An analysis server that calculates the usage rate of the acquired statistical information, calculates virtual statistical data of the specific site according to the usage rate, and makes it available for analysis of regional characteristics at the specific site. A regional characteristic analysis system characterized by having and. The regional characteristic analysis system according to claim 5, wherein the statistical information in the base area uses information of the age group in which the terminals that provide access log data have a specific ratio or more. The analysis server calculates the principal component factors and parameters of the analysis target area based on the principal component factors and parameters analyzed from the statistical information of the visitor's base area, and uses the factors and parameters to perform the analysis. The regional characteristic analysis system according to claim 5 or 6, wherein a cluster analysis of a target area is performed and the cluster analysis result is used as a cluster analysis result of regional characteristics at a specific site. It is a program of the analysis server of the regional characteristic analysis system that analyzes the regional characteristics of a specific area.
The analysis server
A visitor identification means for identifying a visitor who has visited the specific area from the action log storage unit that stores the action log data of the visitor in the specific area.
Regarding the base area of the specified visitor, a statistical information acquisition means for acquiring statistical information by referring to a statistical information storage unit that stores statistical information of the base area that is the basis of the visitor in the specific area.
The ratio of use of the acquired statistical information is calculated according to the number of visitors, virtual statistical data of the specific area is calculated according to the ratio of use, and analysis of regional characteristics in the specific area is performed. program characterized and Turkey to function as a virtual statistical data calculating means to available. The program according to claim 8, wherein the statistical information in the base area uses information of the age group in which the terminals that provide the action log data have a specific ratio or more. The program according to claim 8 or 9, wherein in the analysis of the regional characteristics, the behavior log data is limited to the region where the action log data is acquired in a specific ratio or more in the comparison target area to be compared with the specific area. The virtual statistical data calculation means calculates the principal component factors and parameters of the analysis target area based on the principal component factors and parameters analyzed from the statistical information of the visitor's base area, and calculates the factors and parameters. The program according to any one of claims 8 to 10, wherein a cluster analysis of the analysis target area is performed using the cluster analysis result, and the cluster analysis result is used as a cluster analysis result of a specific area. It is a program of the analysis server of the regional characteristic analysis system that analyzes the regional characteristics of a specific site.
The analysis server
A visitor identification means for identifying a visitor who has visited the specific site from the action log storage unit that stores the access log data of the visitor of the specific site.
A statistical information acquisition means for acquiring statistical information by referring to a statistical information storage unit that stores statistical information of the base area that is the basis of a visitor of the specific site for the specified visitor base area.
The percentage of use of the acquired statistical information calculated in accordance with the number of the visitors, and calculates a virtual statistical data of the specific sites according to the ratio of the use, analysis of regional characteristics in the specific site program characterized and Turkey to function as a virtual statistical data calculating means to available. The program according to claim 12, wherein the statistical information in the base area uses information of the age group in which the terminals that provide the access log data have a specific ratio or more. The virtual statistical data calculation means calculates the principal component factors and parameters of the analysis target area based on the principal component factors and parameters analyzed from the statistical information of the visitor's base area, and calculates the factors and parameters. The program according to claim 12 or 13, wherein a cluster analysis of the analysis target area is performed using the cluster analysis result, and the cluster analysis result is used as a cluster analysis result of regional characteristics at a specific site.

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