JP2019067352A - Regional visitor peculiarity analyzing system and program for the same - Google Patents

Abstract

To provide a regional visitor peculiarity analyzing system and a program for analyzing the regional peculiarity of the area where the mobility is high with sufficient accuracy.SOLUTION: It is a regional visitor peculiarity analyzing system and a program in which the regional peculiarity analysis server 1 acquires the statistical information of visitors' (callers' or sojourners') base area memorized by an activity log DB21 from the statistics database DB22 on the analysis target area, obtains the data of the regional peculiarity based on the statistical information, and compares the statistical information of the visitors' regional peculiarity data in the analysis target area and those of other areas.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a system for analyzing regional characteristics, and in particular, based on the residence area of a person (visitor) who visited or stayed in the area or site to be analyzed, or the area of the area or site based on commuting or attending school etc. The present invention relates to a visitor's region characteristic analysis system and its program for analyzing characteristics.

[Prior art]
Conventional regional analysis systems have analyzed the area to be analyzed based on statistical information and the like.

[Related Art]
As related prior art documents, Japanese Patent Application Laid-Open No. 2007-219655 "Equipment Information Management System, Facility Information Management Method, and Facility Information Management Program" (Patent Document 1), Japanese Patent Application Laid-Open No. 2011-171876 "Move the User Form terminal, server, program, and method for estimating address / location along with it (Patent Document 2), JP-A-2012-150786 "Profiling system using regional characteristics" (Patent document 3), JP-A-2013-540300 No. Gazette "aggregation of population distribution information" (patent document 4).

Patent Document 1 describes a system for displaying map information centered on an area where there are many operating facilities.
Patent Document 2 describes a system for estimating a user's address / whereabouts using position information of a portable terminal.

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

JP 2007-219655 A JP, 2011-171876, A JP 2012-150786 A Japanese Patent Application Publication No. 2013-540300

  However, in the above-mentioned conventional area analysis system, analysis of area characteristics may be performed using statistical data etc. of the resident regarding the area to be analyzed, but for example, in the area in front of the station The characteristics of area residents have the problem that it is not an analysis of regional characteristics that take liquidity into account.

  Patent Documents 1 to 4 do not describe analyzing the regional characteristics based on the area from which the visitor or resident flows into the analysis target area.

  The present invention has been made in view of the above situation, and the characteristics of the area or site to be analyzed are determined using the regional characteristics of the home area (base area) of the visitor who enters or leaves the area or site to be analyzed An object of the present invention is to provide a visitor's area characteristic analysis system and its program capable of accurately analyzing the area characteristic of a highly liquid area or site.

  The present invention for solving the problems of the above conventional example is a regional characteristic analysis system for analyzing regional characteristics of a specific area, which includes an activity log storage unit for storing activity log data of visitors of the specific area; A statistical information storage unit that stores statistical information of a base area serving as a base of the area visitors, and a visitor who has visited a specific area from the action log storage unit, specifies statistical information about the base area of the identified visitor The statistical information is acquired with reference to the department, the usage rate of the acquired statistical information is calculated according to the number of visitors, and virtual statistical data of the specific area is calculated according to the usage rate, And an analysis server that can be used to analyze regional characteristics in a specific area.

  The present invention is characterized in that, in the above-mentioned area analysis system, statistical information in the base area uses information of an age which holds terminals providing activity log data at a specified ratio or more.

  The present invention is characterized in that, in the area analysis system described above, the area to be compared with a specific area is limited to an area where behavior log data is acquired at a specific ratio or more by analysis of area characteristics.

  In the area analysis system according to the present invention, the analysis server calculates the main component factor of the analysis target area and the parameter based on the main component factor and the parameter based on the statistical information of the base area of the visitor. The present invention is characterized in that cluster analysis of the area to be analyzed is performed using the factors and parameters, and comparison results of the cluster analysis and the area of the comparison target area can be compared.

  The present invention is a regional characteristic analysis system that analyzes regional characteristics of a specific site, and includes an action log storage unit that stores access log data of visitors of the specific site, and a base area on which a visitor of the specific site is based. Identifying a statistical information storage unit storing statistical information and a visitor visiting a specific site from the action log storage unit; acquiring statistical information by referring to the statistical information storage unit for a base area of the identified visitor; According to the number of visitors, the usage rate of statistical information is calculated, virtual statistical data of a specific site is calculated according to the usage rate, and it can be used to analyze regional characteristics at a specific site. And an analysis server.

  The present invention is characterized in that, in the above-mentioned area analysis system, statistical information in a base area uses information of an age which holds a terminal providing access log data at a specified ratio or more.

  In the area analysis system according to the present invention, the analysis server calculates the main component factor of the analysis target area and the parameter based on the main component factor and the parameter based on the statistical information of the base area of the visitor. The cluster analysis of the area to be analyzed is performed using the factor and the parameter, and the cluster analysis result is regarded as the cluster analysis result of the regional characteristics at the 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 visitor's action log data of the specific area. Refers to the visitor identification means for identifying the visited visitor and the statistical information storage unit for storing the statistical information of the base area serving as the basis of the visitors of the specified area with respect to the identified visitor's base area Calculate the ratio of utilization of statistical information acquired according to the statistical information acquisition means to be used and the number of visitors, calculate the virtual statistical data of the specific area according to the ratio of utilization, and select the area in the specific area It is characterized by having an analysis server which functions as virtual statistical data calculation means which can be used for analysis of characteristics.

  The present invention is characterized in that, in the above-mentioned program, statistical information in the base area uses information of an age which holds terminals providing activity log data at a specified ratio or more.

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

  According to the present invention, in the above program, the virtual statistical data calculating means comprises the factor of the principal component analyzed from the statistical information of the base area of the visitor, the factor of the principal component of the area to be analyzed based on the parameter It is characterized in that calculation is performed, and cluster analysis of the analysis target area is performed using the factor and the parameter, and comparison results of the cluster analysis result and the cluster analysis result of the comparison target area can be made.

  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 a behavior log storage unit that stores access log data of visitors of the specific site. Refers to the visitor identification means for identifying the visited visitor and the statistical information storage unit that stores the statistical information of the base area serving as the basis of the visitors of the specified site for the identified visitor's base area Calculate the ratio of utilization of statistical information acquired according to the statistical information acquisition means to be used and the number of visitors, calculate the virtual statistical data of the specific area according to the ratio of utilization, and It is characterized by having an analysis server which functions as virtual statistical data calculation means which can be used for analysis of characteristics.

  The present invention is characterized in that, in the above-mentioned program, statistical information in the base area uses information of an age which holds a terminal providing access log data at a specified ratio or more.

  According to the present invention, in the above program, the virtual statistical data calculating means comprises the factor of the principal component analyzed from the statistical information of the base area of the visitor, the factor of the principal component of the area to be analyzed based on the parameter The analysis is performed using the factors and parameters to perform cluster analysis of the area to be analyzed, and the cluster analysis result is used as a cluster analysis result of a regional characteristic at a specific site.

  According to the present invention, the analysis server identifies the visitor who has visited the specific area from the action log storage unit, acquires statistical information with reference to the statistical information storage unit with respect to the base area of the identified visitor, and visits Calculate the proportion of use of the acquired statistical information according to the number of persons in the area, calculate the virtual statistical data of the specific area according to the proportion of use, and make it available for analysis of regional characteristics in the specific area Since the regional characteristic analysis system is used, it has the effect of being able to analyze regional characteristics of highly liquid areas with high accuracy.

  According to the present invention, the analysis server identifies the visitor who has visited the specific site from the action log storage unit, acquires statistical information with reference to the statistical information storage unit about the base area of the identified visitor, and visits Calculate the proportion of utilization of the acquired statistical information according to the number of persons in the work, calculate the virtual statistical data of the specific site according to the proportion of utilization, and make it available for analysis of regional characteristics at the specific site Since the regional characteristic analysis system is used, the regional characteristics of the accessed site can be analyzed accurately.

It is a configuration block diagram of this system. It is a figure which shows the relationship between the base area of a visitor, and an analysis object area. It is explanatory drawing in the case of calculating the number of persons of the virtual sex of area X by a visitor. It is the schematic which shows the example of the use restrictions of statistical data. It is the schematic which shows the example of the use restriction | limiting of area data. It is the schematic which shows the example which made the area wide area. It is a flow chart which shows virtual data acquisition processing of area X. It is a block diagram of another system. It is the schematic which shows an area specific table. It is a flow chart which shows virtual data acquisition processing of site Y.

Embodiments of the present invention will be described with reference to the drawings.
[Overview of the embodiment]
The visitor's region characteristic analysis system (this system) according to the embodiment of the present invention is based on the region characteristic such as statistical information of the area of origin (base area) of the visitor staying or visiting in the analysis target area or site. Calculate the proportion of utilization of the statistical information etc. according to the number of visitors, calculate the virtual area characteristics for the analysis area or site according to the ratio, and use it as the area characteristic in the analysis area or site In particular, the characteristics of highly liquid areas or sites can be accurately obtained based on the base area of the visitor.

[This system: Figure 1]
The configuration of this system will be described with reference to FIG. FIG. 1 is a configuration block diagram of this system.
As shown in FIG. 1, the present system comprises 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 a personal computer The (PC) 4 is connected to the regional characteristic analysis server 1 via the network 3.

Although only one PC 4 is connected in FIG. 1, a plurality of PCs 4 are actually connected.
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.
Furthermore, in the present system, network connection is assumed, but a single computer may be stand-alone that realizes the configuration of FIG.

In this system, the action log (position information and time information) of a plurality of visitors who visit the area to be analyzed is stored in advance in the action log DB 21 and statistical information of the base area of the visitors described later is stored in the statistics DB 22. The virtual statistical data (area characteristic data) of the area to be analyzed is calculated based on the statistical information of the base area of the visitors. The area 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, for example, by the function of the GPS (Global Positioning System) in the terminal device of the user such as a smart phone, and the company that acquires and manages the information is associated with the user ID Are provided to the regional characteristic analysis server 1, and the regional characteristic analysis server 1 stores in the action log DB 21.

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

[Action log DB 21]
The action log DB 21 stores a history of position information by a GPS function or the like provided from 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 terminal device of the user.
Here, the user includes at least a person who visits the analysis target area (visitor). Therefore, the user ID of the visitor is "visitor ID".

[Statistics DB 22]
The statistical DB 22 stores statistical information in administrative boundaries or specific mesh areas throughout the country.
Statistical information is data obtained from census data and other statistical information, such as the gender ratio of the area, population composition by age, number of generations, annual income and consumption trends for each generation, and so on.
Further, the statistical information includes sales data of a store, facility data such as a sales floor area of a store, a parking lot area of a store, and various other data linked to other areas.
Furthermore, as will be described later, statistical information includes factors, parameters, and the like of principal components that have been subjected to principal component analysis from area statistical information.

[Area characteristic DB 23]
The area characteristic DB 23 stores virtual statistical data of the analysis target area obtained by the area characteristic analysis server 1, and further stores the comparison result of the virtual statistical data and the statistical information of the comparison target area. You may Virtual statistical data will be described later.
The comparison target area may be a prefecture area, a nationwide area, or any area.

[Network 3, PC 4]
Although the network 3 is assumed to be the Internet, it may be a closed network by 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 an analysis target area, an analysis target time zone, an analysis method, etc. The instruction to calculate the virtual statistical data to be is given, and the virtual statistical data of the calculation result is displayed on the display unit.

[Analytical processing]
Next, the analysis process of the 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 area to be analyzed.
As shown in FIG. 2, for example, a visitor who has visited (stayed) a mesh area X near a station at a specific time zone on a specific day is specified, and the base area of the visitor is determined.

The base area refers to, for example, an area where a visitor stays in a specific time zone of night or daytime, based on the history of location information of the visitor stored in the action log DB 21.
Thus, the base area may be identified as a visitor's residence area, or may be identified as a previous day's accommodation area. The way to certify the base area differs depending on the day of the week and the time of day the visitor stayed in the base area. And the area recognized as the base area is the basis of 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 calculation method of virtual regional characteristic data when the visitor a1 (one person) from the area A and the visitors b1 and b2 (two people) from the area B visit the analysis target area X It explains, referring to it. FIG. 3 is an explanatory view in the case of calculating the number of virtual men and women of the area X by the visitor.
First, as statistical information, the area A base area is 400 men and 600 women, and the ratio of men and women is 40%: 60% for men: women. In addition, the area B is a base area with 30 men and 70 women, and the ratio of men and women is 30%: 70% for men: women.
In this system, statistical information is used according to the number of visitors.

Then, the number of visitors from each area is determined based on the ratio of male and female in the statistical information (male and female ratio).
Since one of the visitors a1 from the area A visited the area X, it is assumed that the visitor a1 is 0.4 male and 0.6 female.
Similarly, since two visitors b1 and b2 from area B visited area X, two men 0.6 (= 0.3 x 2) people, women 1.4 (= 0.7 x 2) ) Assume that a person has visited.

The assumed number of men and women is added, and 1.0 male (= 0.4 + 0.6) and 2.0 female (= 0.6 + 1.4).
That is, based on (the number of visitors in the base area) / (the number of all visitors), the statistical information of each area is used, which indicates the rate of use of the statistical information.
Here, 1.0 male and 2.0 female who were asked are the virtual number of people (virtual number of people) of the visitor 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 area X calculated in this way is compared with the actual statistical information of other comparison areas, and the differences and common points are summarized in a report (report) and the analysis is performed. Do.
The comparison target area may be an area of a different size with respect to the area X, or may be the 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, virtual statistical data of a specific analysis target area may be compared with 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 another regional characteristic data]
Similarly, the number of households by annual income (for each annual income) and the data on consumption trends are also based on the number of households by annual income and statistical data in the base area of visitors, and the number of visitors based on the data on consumption trends. Accordingly, the number of households classified by annual income by the visitors of the analysis target area X and data of consumption trends are calculated.

[Number of households per year's income]
From the number of households for each annual income in the base area, the number of households for each annual income of the visitors to the analysis area X is calculated.
The annual income of households of statistical information in the base area is, for example, the number of households in the area according to annual income, such as 0 yen or more and less than 1 million yen, 1 million yen or more and less than 2 million yen, ... . 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 visitor in the analysis target area is calculated as virtual statistical data (area characteristic data) by multiplying the total number by multiplying the number of visitors for each base area.

[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 the visitors of the analysis target area X is calculated from the number of households for each consumption amount for each consumption item in the base area.
In the consumption trend data of statistical information in the base area, for example, the number of households in the base area is totaled for each consumption amount of a specific range with respect to consumption items such as food cost and clothing cost. Calculate the number of households for each consumption amount of consumption items for each visitor in the base area. The total number of households is also "1".
Furthermore, the consumption trend data of the visitor in the analysis target area is calculated as virtual statistical data (area characteristic data) by multiplying the number of visitors for each base area and summing up the products.

Analysis of Trade Area
The analysis target area may be analyzed as the trade area area, and the comparison target area may be compared as the 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 among the statistical information.
The comparison target area may be an area such as Japan, prefectures, cities, and municipalities, and may be compared with the average value.

[Application to profiling]
It is also possible to apply to the profiling process.
Factors, parameters, etc. identified from principal components, which are subjected to principal component analysis from statistical information in the base area, can be calculated as visitor characteristics, parameters, etc. as regional characteristics in the analysis target area instead of statistical information . These factors and parameters can be compared with those of other areas (areas to be compared).

In addition, cluster analysis is performed based on factors and parameters of main components of visitors in the analysis target area, cluster numbers can be obtained, and regional characteristics can be grasped by comparison with cluster numbers in the comparison target area.
Thus, the present embodiment can be applied to profiling of regional characteristics.
The profiling system is described in US Pat.

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

In the example of FIG. 4, with regard to statistical information of population by age, the population of 10 to 79 years of smartphone possession is used, and statistical information of other ages is excluded.
Thus, 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 of the comparison target area similarly excludes the age that does not possess a smartphone, and compares To improve the accuracy of the

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

  In FIG. 5, the action log data by the smartphone in the four mesh areas shaded in the comparison area can be acquired at a high rate (more than the value of the specific rate), but in the other mesh areas, it is less than the value of the specific rate It has become. In such a case, this is an example in which only the mesh area shaded is the comparison target area.

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

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

Then, the statistical information acquisition means specifies the base area of the acquired visitor ID (S2), and acquires statistical information of the base area (S3). Further, the virtual statistical data calculating means calculates virtual statistical data of the analysis target area X (S4).
Furthermore, the statistical information of the comparison target area and the virtual statistical data of the analysis target area X are compared, a report as a comparison result is generated (S5), and the processing is ended.

[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 configuration block diagram of another system.
Another system is that the analysis target is not an area but a site on a network. In the other system, access log data to a site is stored in a specific period or a specific time zone, and the access log data is used to calculate and obtain regional characteristics of the site.

In another system, as shown in FIG. 8, a site providing server 5 is connected to the network 3 and a provider apparatus (provider) 6 is connected to the network 3 as shown in FIG.
Router apparatuses (routers) 7a, 7b and 7c are connected to the provider 6 by wire or wireless.
Further, a smartphone 8a and a personal computer (PC) 8b are connected to the router 7a, and a smartphone 8c is connected to the router 7c.
In order to simplify the explanation, the terminal devices connected to the router are drawn with the minimum number, but originally, many terminal devices such as PCs and smartphones are connected. Also, a plurality of terminal devices are originally connected to the router 8b.

An area combining the wired or wireless communication areas of the routers 7a and 7b is an area A, and a wired or wireless communication area of the router 7c is an area B.
Here, the areas A and B are assumed to be zip code areas, but may be smaller or larger unit areas. Furthermore, the area may be specified by administrative boundaries or meshes.

  In another system, when there is an access (visit) to a site (analytical target site) provided by the site providing server 5 from a terminal device belonging to an area, the visited terminal device is regarded as a "visitor" and the visitor Based on the regional characteristics such as statistical information of the area (origin area / base area) to which the user belongs, the ratio of use of the statistical information etc. is calculated according to the number of visitors, and the analysis target site is hypothetical according to the ratio. Regional characteristics and evaluate the analysis target site to improve 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 an area of a 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 an area identification table manages which area the placed router belongs to.

The area identification table is stored in the storage unit 12 of the area characteristic analysis server 1 or the connected DBs 21 to 23. 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 router 7a and the G-IP address (IP0002) of router b are associated with area A, and the G-IP address (IP0003) of router 7c is associated with area B. It is 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 it to the regional characteristic analysis server 1.
The area characteristic analysis server 1 stores the transmitted terminal device ID and router IP address in the action log DB 21 together with time information.

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

After that, as in the present system, virtual statistical data (regional characteristic data) of the analysis target site is calculated from the statistical information of the base area of the visitor to evaluate the analysis target site.
Therefore, each means realized by program processing by the control unit 11 of the regional characteristic analysis server 1 operates almost as it is. Processing parts different from the present system in the processing of each means in another system will be described in the processing of FIG.

[Virtual data acquisition processing in another system: FIG. 10]
Next, virtual data acquisition processing in another system will be described with reference to FIG. FIG. 10 is a flowchart showing virtual data acquisition processing for site Y.
When the area characteristic analysis server 1 reads the processing program stored in the storage unit 12 and the virtual data acquisition process is started, the visitor identification unit determines the ID of the visitor of the specific date and time in the analysis target site Y and the router The IP address is acquired to identify the 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 statistical information of the base area (S13). Further, the virtual statistical data calculation means calculates virtual statistical data of the analysis target site Y (S14).
Further, an analysis report using the region characteristic of the visitor (virtual statistical data of the analysis target site Y) is generated for the analysis target site Y (S15), and the processing is ended.

As described in the present system, the report includes the ratio of male and female by the visitors of the analysis target site Y, the number of households classified by annual income, data of consumption trend, and other analysis results.
In addition, statistical data use restriction performed in this system, analysis of trading area, and application to profiling may be performed.

The analysis of the trade area in another system analyzes the trade area from statistical information based on the base area for the analysis target site Y, and from the statistical information based on the base area for another analysis target (comparison target) site Z It is also possible to analyze the trade area and compare the two.
In addition, the comparison target may be an average value in areas such as Japan, prefectures, and municipalities.

  In the application to profiling in another system, factors, parameters, etc. are analyzed by principal component analysis from the statistical information in the base area for the analysis target site and the comparison target site, and the factors, parameters, etc. of the visitor at the site instead of the statistical information The cluster analysis result may be calculated as the cluster analysis result, 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 a mobile phone without GPS function Terminals can also be targeted.
Also in the present system, location information may be acquired based on the IP address of the router as in the other systems, and in other systems, location information using GPS etc. in the present system may be used. May be

[Effect of the embodiment]
According to the present system, the regional characteristic analysis server 1 obtains data of regional characteristics based on statistical information etc. of the base area of the visitor (visitor or resident) for the analysis target area, and visits the analysis target area As it is possible to compare the area characteristic data of people with statistical information of other areas, it is possible to obtain the appropriate area characteristic in the area where there are a lot of people and high mobility of people. There is an effect that the analysis accuracy can be improved.

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

  The present invention determines the characteristics of the area to be analyzed by using the characteristics of the area of the base area of the visitor entering and leaving the area to be analyzed, and can analyze the region characteristic of the highly liquid area with high accuracy. And suitable for the program.

  DESCRIPTION OF SYMBOLS 1 ... area characteristic analysis server, 3 ... network, 4 ... personal computer (PC), 5 ... site provision server, 6 ... provider apparatus, 7a, 7b, 7c ... router apparatus, 8a, 8c ... smart phone, 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)

A regional characteristic analysis system that analyzes regional characteristics of a specific area,
An action log storage unit storing action log data of visitors of the specific area;
A statistical information storage unit for storing statistical information of a base area on which a visitor of the specific area is based;
A visitor who has visited the specific area is identified from the action log storage unit, statistical information is acquired with reference to the statistical information storage unit for the base area of the identified visitor, and the number of visitors is determined according to the number of visitors Analysis server which calculates utilization ratio of the acquired statistical information, calculates virtual statistical data of the specific area according to the utilization ratio, and makes it available for analysis of regional characteristics in the specific area The regional characteristic analysis system characterized by having and.   2. The regional characteristic analysis system according to claim 1, wherein the statistical information in the base area uses information of an age which holds terminals providing activity log data at a specified ratio or more.   The area characteristic analysis system according to claim 1 or 2, wherein in the comparison area compared with the specific area in the analysis of the area characteristic, the activity log data is limited to an area acquired at a specific ratio or more.   The analysis server calculates the factor of the principal component of the area to be analyzed and the parameter based on the parameter of the principal component analyzed from the statistical information of the base area of the visitor based on the parameter and the analysis using the factor and the parameter The area characteristic analysis system according to any one of claims 1 to 3, wherein cluster analysis of the target area is performed, and the cluster analysis result is used as a cluster analysis result of the specific area. A regional characteristic analysis system that analyzes regional characteristics of a specific site,
An action log storage unit that stores access log data of visitors of the specific site;
A statistical information storage unit for storing statistical information of a base area on which a visitor of the specific site is based;
The visitor who visited the specific site is specified from the action log storage unit, statistical information is acquired with reference to the statistical information storage unit for the base area of the specified visitor, and the number of visitors is determined according to the number of visitors Analysis server that calculates utilization ratio of the acquired statistical information, calculates virtual statistical data of the specific site according to the utilization ratio, and makes it possible to analyze regional characteristics at the specific site The regional characteristic analysis system characterized by having and.   The area characteristic analysis system according to claim 5, characterized in that the statistical information in the base area uses information of an age which holds a terminal providing access log data at a specified ratio or more.   The analysis server calculates the factor of the principal component of the area to be analyzed and the parameter based on the parameter of the principal component analyzed from the statistical information of the base area of the visitor based on the parameter and the analysis using the factor and the parameter 7. The regional characteristic analysis system according to claim 5, wherein 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 analysis server of regional characteristic analysis system which analyzes regional characteristic of specific area,
The analysis server,
A visitor identification means for identifying a visitor who has visited the specific area from an action log storage unit storing behavior log data of visitors of the specific area;
Statistical information acquisition means for acquiring statistical information with reference to a statistical information storage unit for storing statistical information of a base area serving as a base of visitors of the specified area with respect to the base area of the identified visitor, and the visitor The ratio of use of the acquired statistical information is calculated according to the number of people, virtual statistical data of the specific area is calculated according to the ratio of use, and can be used for analysis of regional characteristics in the specific area And an analysis server functioning as virtual statistical data calculation means.   The program according to claim 8, characterized in that the statistical information in the base area uses information of an age which holds terminals providing activity log data at a specified ratio or more.   The program according to claim 8 or 9, wherein in the comparison target area to be compared with the specific area in the analysis of the area characteristic, the program is limited to an area where the activity log data is acquired at a specific ratio or more.   The virtual statistical data calculating means calculates the main component factor and parameter of the analysis target area based on the main component factor and parameter based on the statistical information of the visitor's base area, and calculates the factor and parameter The program according to any one of claims 8 to 10, wherein cluster analysis of the area to be analyzed is performed using the cluster analysis result as the cluster analysis result of the specific area. It is a program of analysis server of regional characteristic analysis system which analyzes regional characteristic of specific site,
The analysis server,
A visitor identification means for identifying a visitor who has visited the specific site from an action log storage unit that stores access log data of visitors of the specific site;
Statistical information acquisition means for acquiring statistical information with reference to a statistical information storage unit for storing statistical information of a base area serving as a base of a visitor of the specific site with respect to the base area of the identified visitor; The ratio of use of the acquired statistical information is calculated according to the number of people, virtual statistical data of the specific area is calculated according to the ratio of use, and can be used for analysis of regional characteristics at the specific site And an analysis server functioning as virtual statistical data calculation means.   13. The program according to claim 12, wherein the statistical information in the base area uses information of an age which holds terminals providing access log data at a specified ratio or more.   The virtual statistical data calculating means calculates the main component factor and parameter of the analysis target area based on the main component factor and parameter based on the statistical information of the visitor's base area, and calculates the factor and parameter The program according to claim 12 or 13, wherein cluster analysis of the area to be analyzed is performed using the cluster analysis result as a cluster analysis result of a regional characteristic at a specific site.

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