JP6932533B2 - Analysis support device - Google Patents

Description

The present invention relates to an analysis support device and a method.

Currently, commercial facilities such as large commercial complexes exist, are being constructed, and are planned. When opening a store in such a commercial facility, it is very important for the store owner to analyze the effect of opening the store in the commercial facility.
Such analysis includes an analysis of the trade area population of commercial facilities. In Patent Document 1 (Japanese Unexamined Patent Publication No. 2003-295758), a predetermined area of map data is divided into a plurality of areas, and each area is a trade area population within a predetermined distance from the area. Is stated to be calculated.

Japanese Unexamined Patent Publication No. 2003-295758 International Publication No. 2011/046135

The content described in Patent Document 1 defines the population within a predetermined distance from each area as the trade area population, but the method of simply obtaining the trade area population based on the distance does not always reproduce the actual phenomenon correctly. However, depending on the method described in Patent Document 1, there is a possibility that the real-life analysis of the trade area population cannot be performed correctly.

The present invention has been made to solve the above problems, and an object of the present invention is to make it easy to visually grasp information useful for analysis when analyzing the effect of opening a store in a commercial facility. To provide the analysis support device and method presented in.

As a result of diligent studies to solve the above problems, the present inventors have arrived at each aspect of the present invention as follows.
That is, the analysis support device according to the first aspect of the present invention is a point data reading unit that reads the position information of a plurality of users of the mobile terminal, the time information obtained from the position information, and the point data including the user identification information of the users. A store information reading unit that reads information including store identification information and store location information for a plurality of stores, a user attribute reading unit that reads data of one or more attributes of a user, and one of a plurality of stores. Or a store input unit for inputting multiple stores, an attribute value input unit for inputting one or more attribute values of one or more attributes of a user's multiple attributes, and a plurality of times. Based on the time zone input unit for inputting one or more time zones and the point data read by the point data reading unit, the input store was visited and entered in the input time zone. A specific visitor number calculation unit that extracts users that match the specified attribute values as specific visitors and aggregates the number of specific visitors, and the specific number of visitors are input in the input time zone, the input store, and the input. It has a display unit that is displayed or illustrated in association with one or more of the attribute values.

According to the analysis support device having the above configuration, a user who visits a specific store at a specific time zone and matches a specific attribute value is designated as a specific visitor based on point data indicating the actual behavior of a plurality of users. Since the data is extracted and the number is calculated as the specific number of visitors, the actual number of users who have visited the store can be grasped, and an accurate analysis in line with reality can be performed. In addition, since the store, time zone, and user attribute value to be analyzed can be freely input, the degree of freedom of analysis is high. In addition, since it has a display unit that displays or illustrates the specific number of visitors in association with the input time zone, the input store, and one or more of the input attribute values, the specific number of visitors is multifaceted. It is easy to grasp the characteristics concretely, and it can contribute to more accurate and effective analysis.

Further, according to the second aspect of the present invention, in the above analysis support device, the store input unit includes an image in which figures or symbols indicating a plurality of stores are displayed on a map, and the user draws a figure on the map. Alternatively, by selecting a symbol, the store indicated by the figure or symbol is input. According to this, since the figure or symbol indicating the store is displayed on the map, it is easy to select the store, and because the store is input by selecting the figure or symbol, it is easy to input.

Further, according to the third aspect of the present invention, in the above analysis support device, the number of specific visitors is totaled for each residential area of the specific visitor to obtain the number of specific visitors by residential area. It further has a specific number of visitors calculation unit, and the display unit displays the number of specific visitors by residential area at a predetermined position on a map in the corresponding residential area. According to this, it is possible to clearly and easily grasp how the users who visit each store are distributed in each surrounding residential area. Therefore, for example, when it is desired to induce a visit to a predetermined store, useful information can be provided when considering how much advertisement should be performed in which area to achieve effective guidance. ..

Further, according to the fourth aspect of the present invention, in the above analysis support device, based on the user's position information included in the point data, the place where the user stays at night for a certain period of time or more is determined, thereby the user's position. It also has a residential area determination unit that determines the residential area. According to this, even if the information of the user's place of residence is not obtained, the user's place of residence can be determined based on the point data.

Further, according to the fifth aspect of the present invention, the analysis support device further includes a visit determination unit that determines that the user has visited the store based on the user's position information included in the point data. According to this, for example, it is not necessary to provide each store with a special mechanism for detecting the visit of the user, and the visit of the user can be grasped.

Further, the analysis support device according to the sixth aspect of the present invention is a point data reading unit that reads point data including the position information of a plurality of users of the mobile terminal, the time information obtained from the position information, and the user identification information of the users. And, for a plurality of stores, a store information reading unit that reads information including store identification information and store location information, a user attribute reading unit that reads data of multiple attributes of the user, and specifics for each of the multiple attributes of the user. Based on the attribute value input section for inputting attribute values and the point data read from the point data reading section, users who visit each of multiple stores are extracted as specific visitors by associating them with the visited store. Using the person extraction unit and the attribute data of all users as a population, for each of the multiple stores, the total of the deviation values of the attribute values input for each of the multiple attributes of the specific visitor who visited the store is calculated. It has a deviation value total calculation unit obtained as the total deviation value for each store, and a display unit that displays the store identification information of a plurality of stores and the total deviation value for each store in the order of the total deviation value for each store.

According to this, the total value of the deviation values of the attribute values of a plurality of arbitrarily set attributes is calculated as the total deviation value for each store for each of the plurality of stores, and the store identification information (for example, the total deviation value for each store) is calculated in this order. , Store name) can be displayed side by side, so that it is possible to provide useful information when a user having a specific attribute value wants to extract a store that is visited by a relatively large number of people. For example, if a cluster of users who tend to purchase a specific product group can be defined by specific attribute values of a plurality of attributes, the specific product group can be purchased by inputting the specific attribute value in the attribute value input unit. For stores that are visited by a high percentage of users who are likely to do so, the total deviation value for each store is considered to be high. Therefore, useful information can be provided when planning a store opening for the purpose of selling a specific product group.

Further, according to the seventh aspect of the present invention, the analysis support device according to the sixth aspect further includes and displays a specific visitor number calculation unit that totals the number of specific visitors for each of the plurality of stores. The department displays the store identification information of a plurality of stores and the total deviation value for each store in the order of the total deviation value for each store, and at the same time, displays the number of specific visitors of the plurality of stores. By displaying the number of specific visitors to each store in addition to the total deviation value for each store, it becomes easy to analyze not only the ratio of users visiting the store but also the number.

Further, according to the eighth aspect of the present invention, in the analysis support device according to the seventh aspect, an adjustment unit for adjusting the total deviation value for each store based on the number of specific visitors is provided for each of the plurality of stores. Further, the display unit displays the store identification information of a plurality of stores and the total deviation value for each store in the order of the adjusted total deviation value for each store. According to this, the effect of the seventh aspect can be further enhanced.
The number of the above specific visitors may be converted into not only the number of users of the mobile terminal but also the approximate total number of visitors including non-users. For that purpose, for example, for each residential area of the mobile terminal user, the approximate total number of visitors from the residential area is calculated by dividing the specific number of visitors by the ratio of the mobile terminal user to the resident population in the residential area. You may.

FIG. 1 is a block diagram showing a schematic configuration of an analysis support device according to a first embodiment of the present invention. FIG. 2 is an explanatory diagram showing a configuration of point data according to the first embodiment. FIG. 3 is an explanatory diagram showing the structure of the store information data according to the first embodiment. FIG. 4 is a schematic view showing an example of a plurality of input units and display units of the analysis support device according to the first embodiment. FIG. 5 is a schematic view showing another example of the display unit of the analysis support device according to the first embodiment. FIG. 6 is a schematic view showing still another example of the display unit of the analysis support device according to the first embodiment. FIG. 7 is a block diagram showing a schematic configuration of an analysis support device according to a second embodiment of the present invention. FIG. 8 is a schematic view showing an example of a plurality of input units and display units of the analysis support device according to the second embodiment.

Hereinafter, analysis support devices according to a plurality of embodiments embodying the present invention will be described with reference to the drawings.
(First Embodiment)
FIG. 1 is a block diagram showing a configuration of an analysis support device 1 according to a first embodiment of the present invention. As shown in the figure, the analysis support device 1 includes a map information reading unit 10, a point data reading unit 20, a store information reading unit 30, a user attribute reading unit 40, a living area determination unit 50, a store visit determination unit 60, and a store input unit 70. It has an attribute value input unit 80, a time zone input unit 90, a specific visitor calculation unit 100, a map information integration unit 110, and a display unit 120. For example, the analysis support device 1 may be realized by a general-purpose computer including a display device and an input device.

The map information reading unit 10 reads map information data from the map information database 130 (map information DB) stored in a server or the like separately provided. The map information data includes the names of various administrative divisions, lot number information, and polygon information. The polygon information of administrative divisions is information in which the shapes of various administrative divisions and their positions on the ground surface are specified by longitude and latitude.

The point data reading unit 20 reads the point data of the mobile terminal user included in the user movement information database 140 (user movement information DB) stored in a server or the like separately provided. The mobile terminal user referred to here is a person who is using a mobile communication service provided by a certain telecommunications carrier. As shown in FIG. 2, the point data of a mobile terminal user is obtained from a user identifier that identifies a user, position information (longitudinal information and latitude information) of the mobile terminal, and position information for a plurality of users of a predetermined mobile terminal. It is data including the time information (positioning time information) obtained. By integrating the point data of each time based on the user identifier, the position information of the user at each time can be grasped, and the user's actions related to staying at one point and moving to another point at each time can be performed. It becomes possible to grasp. For example, the method of acquiring point data is described in detail in Patent Document 2 (International Publication No. 2011/046135) and is not described in detail here, but only the main points will be briefly described as follows.

That is, a communication system that provides communication by a mobile terminal is configured to include, for example, a mobile terminal (mobile device), a BTS (base station), an RNC (wireless network control device), an exchange, various processing nodes, and a management center. The exchange collects the position information of the mobile terminal via BTS and RNC. The RNC can measure the position of the mobile terminal by using the delay value in the RRC connection request signal when the communication connection is made with the mobile terminal. The exchange can receive the position information of the mobile terminal measured in this way when the mobile terminal executes a communication connection. The exchange stores the received location information and outputs the collected location information to the management center at a predetermined timing or in response to a request from the management center. By such a method, the user movement information database 140 including the point data of each user can be created.
If the position information of the mobile terminal is GPS position information, various processing nodes can acquire the GPS position information of the mobile terminal without going through the RNC and the exchange, and the user movement information database 140 and the point data reading unit 20 can acquire the GPS position information. , It becomes possible to use the acquired GPS position information of the mobile terminal.

The store information reading unit 30 reads the store information data included in the store information database 150 (store information DB) stored in a server or the like separately provided. The store information data referred to here is a store identifier (for example, a store name) for identifying each of a plurality of stores, and location information (latitude information and longitude) of a predetermined point (for example, the registered address of the store) in the store. Information). Alternatively, as the store information, as shown in FIG. 3, the store identifier of each store and the polygon information may be included. Polygon information is information that specifies the shape of a store and its position on the ground surface by longitude and latitude.

The user attribute reading unit 40 reads the user attribute data of the mobile terminal user included in the user attribute database 160 (user attribute DB) stored in a server or the like separately provided. The user attribute data referred to here is data including information regarding an identifier, gender, and age for identifying a plurality of users of the mobile terminal (for example, date of birth or age of birth).

The living area determination unit 50 determines the user's living area based on the map information data received from the map information reading unit 10 and the position information included in the point data received from the point data reading unit 20. The unit of the residential area may be one or more of the prefecture unit, the municipality unit, and the finer administrative division unit. The determination of the user's living area is, for example, a place where the user stays at night (for example, between sunset and sunrise the next morning) for a certain period of time (for example, any time within the range of 4 to 8 hours). It is performed by specifying and determining the area including the specified place as the user's living area.

The store visit determination unit 60 determines whether or not each user of the mobile terminal has visited a specific store based on the point data received from the point data reading unit 20 and the store information data received from the store information reading unit 30. .. When the store information data is composed of the store identifier and the position information of a predetermined position in the store, the user's position information has a predetermined radius (for example, 100) centered on the point specified by the store position information. It may be determined that the user has visited the store by entering the circle having any radius within the range of ~ 300 meters, particularly a radius of 250 meters). When the store information includes polygon information, even if it is determined that the user has visited the store when the user's location information enters the inside of the store area on the ground surface specified by the polygon information of the store. good.

The store input unit 70 is a part for the user of the analysis support device 1 to specify one or more of the plurality of stores corresponding to the store information data read by the store information reading unit 30 by input.
The attribute value input unit 80 uses the analysis support device 1 to input one or more attribute values of one or more user attributes included in the user attribute data read by the user attribute reading unit 30. It is a part for a person to specify by input.
The time zone input unit 90 is one of the time zones in which the user of the analysis support device 1 is divided into hour zones such as 8:00 am to 9:00 am and 9:00 am to 10:00 am. It is a part for specifying one or more) by input.
The input by the store input unit 70, the attribute value input unit 80, and the time zone input unit 90 is performed by, for example, the user of the analysis support device 1 using the keyboard or checking the check box on the computer display screen. It can be done by doing.

The specific visitor number calculation unit 100 receives the result input by the store input unit 70, the attribute value input unit 80, and the time zone input unit 90 and the determination result by the store visit determination unit 60, and also receives the determination result from the user attribute reading unit 40. Receive user attribute data. Then, based on the result of the determination by the store visit determination unit 60, it is input to the attribute value input unit 80 that visited the store input to the store input unit 70 at the specific time zone input to the time zone input unit 90. Users of mobile terminals that match the specific attribute values are extracted as specific visitors, and the number of the specific visitors is totaled (calculated) as the number of specific visitors.

Further, the specific number of visitors calculation unit 100 receives the determination result of each user's residential area by the residential area determination unit 50. Then, using the user identifier as a key, the number of specific visitors is divided into the residential areas of the specific visitors, and the specific number of visitors is set for each residential area.

The map information integration unit 110 receives the calculation result by the specific number of visitors calculation unit 100, and also receives the store information data from the store information reading unit 30 and the map information data from the map information reading unit 10. Then, the store information and the map information are integrated based on the location information of the store, and the specific number of visitors for each residential area is linked with the representative location information of the residential area.

Based on the information received from the map information integration unit 110, the display unit 120 sets the specific number of visitors into the time zone input by the time zone input unit 90, the store input by the store input unit 70, and the attribute value input unit 80. Displayed or illustrated in association with the attribute value entered by, one or more of the living areas.

FIG. 4 is a diagram showing an example of the store input unit 70, the attribute value input unit 80, the time zone input unit 90, and the display unit 120 of the analysis support device 1 of the present embodiment, and shows how the analysis support device 1 is displayed on a computer display or the like. It is shown. In FIG. 4, the area A and O surrounded by the alternate long and short dash line A and E correspond to the store input unit 70, the area key enclosed by the alternate long and short dash line key corresponds to the attribute value input unit 80, and the area enclosed by the alternate long and short dash line key 80. F corresponds to the time zone input unit 90, and the areas A to E and K to Ko surrounded by the alternate long and short dash lines A to E and K to K correspond to the display unit 120.

Of the store input unit 70, the area o in FIG. 4 (hereinafter referred to as “analysis target store selection portion”) is composed of a plurality of check boxes representing a plurality of stores included in the store information data, and the analysis support device 1 By checking the check box, the user can select the store to be analyzed. In the store input unit 70, the area a in FIG. 4 (hereinafter referred to as “target store list map”) is a portion in which the stores checked in the analysis target store selection portion are displayed on the map by graphic symbols. The user of the analysis support device 1 can input the store by clicking any of the symbols representing the plurality of stores shown on the target store list map.

The attribute value input unit 80 shown in the area key of FIG. 4 is for inputting the first check box group for inputting the gender of the user to be analyzed by the user of the analysis support device 1 and the age of the user. It consists of a second check box group. In the illustrated example, the first check box group consists of four, "all", "unknown", "male", and "female". The second check box group consists of "all", "15", "20", "30", "40", "50", "60", and "70". For example, "15", "20", "30", "40", "50", "60", and "70" in the second check box group are 15 years old or older and less than 20 years old, 20 years old, respectively. It can mean 30's, 40's, 50's, 60's, 70's or older. In each check box group, the user can check one or more of "all" or other check boxes.

The time zone input unit 90 shown in the area F of FIG. 4 includes a first check box group for inputting the time zone to be analyzed by the user of the analysis support device 1 on weekdays and holidays, and one day. It consists of a second check box group for inputting each time zone in. In the example, the first check box group consists of "all", "weekdays", and "holidays", the second check box group consists of "all", and each from 8:00 am to 9:00 pm It consists of a group representing a time zone. For each check box group, the user can check one or more of "all" or other check boxes.

Based on the above input, the specific number of visitors calculated by the specific number of visitors calculation unit 100 is displayed in association with one or more of the input time zone, the input store, the input attribute value, and the living area. Alternatively, specific examples of the illustrated display unit 120 are shown in the areas (a) to (d) and (ku) of FIG.
The display of areas a and c is a diagram showing the specific number of visitors for each residential area by a symbol having a size corresponding to the number at a predetermined position on the map corresponding to each residential area. Area A is a unit in which the residential area is a city, ward, town, or village unit, and Area C is a unit in which the residential area is a smaller unit than a city, ward, town, or village such as a large character.
The display of area d is a display in which the total number of visitors to each store is arranged in descending order together with the store identifier (store name, etc.).
The display of the area is a pie chart showing the number of specific visitors by residential area.
The display of the area is the number of specific visitors arranged vertically by age group.

In the upper display of the area, the horizontal axis is the time zone for each hour, and the vertical axis is the plot of the number of specific visitors by gender in each time zone. As a method of calculating the number of specific visitors, when one user continuously stays at a certain store during one time zone, it is counted as one specific visitor in that time zone at that store. If the staying time at the store in that time zone is less than 1 hour, the specific number of visitors is calculated in proportion to the staying time. . Calculated as 5 people. The display at the bottom of the area shows the number of specific visitors by age zone for each time zone by age group of visitors.

The analysis support device 1 according to the present embodiment has a separate window or a display unit that shows the number of specific visitors for each residential area in the city, ward, town, or village unit shown in the area a of FIG. 4 in an enlarged manner as shown in FIG. It may be provided as a separate page or the like. Similarly, the analysis support device 1 according to the present embodiment expands the number of specific visitors for each residential area in units smaller than the municipalities such as large letters shown in the area c of FIG. 4 as shown in FIG. The display unit may be provided as a separate window, a separate page, or the like.

(Second Embodiment)
Next, the analysis support device 1'according to the second embodiment of the present invention will be described with reference to FIGS. 7 and 8. FIG. 7 is a block diagram showing a schematic configuration of the analysis support device 1'according to the present embodiment. Compared with the configuration of the first embodiment shown in FIG. 1, in the second embodiment, the attribute value deviation value calculation unit 102 is inserted between the specific number of visitors calculation unit 100 and the map information integration unit 110. Hereinafter, the parts different from the first embodiment will be described, and the parts common to the first embodiment will be omitted.

The user attribute reading unit 40 of the present embodiment reads the user attribute data of the mobile terminal user included in the user attribute database 160 (user attribute DB) stored in a server or the like separately provided. The user attribute data referred to here includes information on an identifier, gender, and age for identifying a plurality of users of a mobile terminal (for example, date of birth or age of birth), as well as a predetermined questionnaire (dwelling). Includes the content that the user responded to (form, monthly disposable income, occupation, whether or not he / she owns a car, etc.).

The store input unit 70 is a part for the user of the analysis support device 1'to identify a plurality of stores to be analyzed by input.
The attribute value input unit 80 is a part for the user of the analysis support device 1'to specify a specific attribute value for each of a plurality of user attributes among the user attributes read by the user attribute reading unit 30 by input. be.
The time zone input unit 90 is a part for the user of the analysis support device 1'to specify a specific period (for example, a specific year, month, day) by inputting. When it is not necessary to specify the period, the time zone input unit 90 may be omitted.

The specific visitor number calculation unit 100 extracts users who have visited each of the plurality of stores as specific visitors in association with the visited store, and calculates the number of specific visitors as the specific number of visitors.
Next, the attribute value deviation value calculation unit 102 uses the attribute data of all users as a population, and for each of the plurality of stores, the attributes input for each of the plurality of attributes of the specific visitor who visited the store. The total deviation value of the values is calculated as the total deviation value for each store.
Then, the display unit 120 displays the store identification information (for example, store name) of a plurality of stores and the total deviation value for each store in the order of the total deviation value for each store.

FIG. 8 shows an example of the store input unit 70, the attribute value input unit 80, and the display unit 120 of the present embodiment. The area surrounded by the alternate long and short dash line in FIG. 8 corresponds to the store input unit 70. The store identifiers (for example, store names) of multiple stores are arranged together with check boxes in the area, and the user of the analysis support device 1'checks the check boxes to select multiple stores to be analyzed. You can enter it. The area surrounded by the alternate long and short dash line is the part where the position of the store input by the store input unit 70 is indicated by a symbol and an identifier on the map.
The area enclosed by the alternate long and short dash line corresponds to the attribute value input unit 80. The attribute values of a plurality of attributes are displayed side by side in the area so that the user can change the attribute values by clicking the display or the like. However, the illustrated area may be a part that displays the attribute values of a plurality of attributes input by the separate attribute value input unit 80.

The area set surrounded by the alternate long and short dash line is a portion that displays the store identification information (for example, the name) of the store and the total deviation value for each store in the order of the total deviation value for each store, that is, the display unit 120. That is, the length of the horizontal bar graph next to the identification information (name of the store in the figure) of each store in the area cell represents the size of the total deviation value for each store of the store. In addition, the horizontal bar graph of each store is displayed as a set of a plurality of segments having a length corresponding to the deviation value of the attribute value input for each of the plurality of attributes of the specific visitor who visited the store. The total deviation value for each store can be displayed by any method such as displaying by the dimensions of a figure such as a horizontal bar graph, displaying by color-coding the figure, or displaying by a number.
The area surrounded by the alternate long and short dash line is the part that shows the specific number of visitors to multiple stores in descending order along with the store name.

(Modification example)
The specific visitor number calculation unit 100 counts the number of specific mobile terminal users and calculates the specific number of visitors as described above, and in addition to or instead of calculating the number of visitors including non-users of the mobile terminal. It may be calculated as the number of visitors corresponding to a specific visitor. In that case, the specific number of visitors may be divided by the ratio of mobile terminal users in the living area to the total population in each living area.
In the second embodiment, the total deviation value for each store may be adjusted based on the number of specific visitors for each of the plurality of stores, and the display unit 120 displays the store identification information of the plurality of stores and the deviation value for each store. The totals may be displayed side by side in the order of the adjusted total deviation values for each store. The adjustment of the total deviation value for each store based on the number of specific visitors may be obtained by multiplying the total deviation value for each store by the number of specific visitors for the store.

In the above embodiment, the point database, the store information database, and the user attribute database have been described as being stored in a server different from the analysis support device, but the present invention is not limited to this, and the point database, the store information database, and the user attribute database are not limited to this. May be included in the analysis support device 1, or the point data reading unit, the store information reading unit, and the user attribute reading unit may have the functions of the point database, the store information database, and the user attribute database, respectively.
The contents of the published patent gazette and the internationally published gazette specified in this specification shall be cited by reference in their entirety.

1, 1'... Analysis support device 10 ... Map information reading unit 20 ... Point data reading unit 30 ... Store information reading unit 40 ... User attribute reading unit 50 ... Residential area judgment unit 60 ... Store visit judgment unit 70 ... Store input unit 80 ... Attribute value input unit 90 ... Time zone input unit 100 ... Specific number of visitors calculation unit 102 ... Attribute value deviation value calculation unit 110 ... Map information integration unit 120 ... Display unit 130 ... Map information database 140 ... User movement information database 150 ... Store information database 160 ... User attribute database

Claims (12)

A point data reading unit that reads point data including location information of a plurality of users of a mobile terminal, time information from which the location information was obtained, and user identification information of the user.
A store information reading unit that reads information including store identification information and store location information for multiple stores,
A user attribute reading unit that reads data of one or more attributes of the user,
A store input unit for inputting one or more of the plurality of stores, and
An attribute value input unit for inputting one or more attribute values of one or more of the plurality of attributes of the user, and
A time zone input unit for inputting one or more time zones among multiple time zones,
Based on the location information of the point data read by the point data reading unit, a visit determination unit that determines the user who visited the store input by the store input unit, and a visit determination unit.
The user who is determined to have visited by the visit determination unit, visits in the input time zone, extracts the user who matches the input attribute value as a specific visitor, and extracts the specific visitor of the specific visitor. A specific number of visitors calculation unit that aggregates the number,
An analysis support device having a display unit that displays or illustrates the number of specific visitors in association with the input time zone, the input store, and one or more of the input attribute values. hand,
It further has a specific visitor number calculation unit for each residential area, which aggregates the number of the specific visitors for each residential area of the specific visitor to obtain the specific visitor number for each residential area, and the residential area is the specific visitor. It is an administrative division where visitors live,
The display unit represents the number of specific visitors by residential area at a predetermined position on a map in the corresponding residential area.
The specific visitor number calculation unit for each residential area determines a place where the user stays for a certain period of time or more at night based on the user's position information and the time information included in the point data, thereby determining the user. An analysis support device that further has a residential area determination unit that determines the residential area of the. The store input unit includes an image in which figures or symbols indicating the plurality of stores are displayed on a map, and when the user selects the figures or symbols on the map, the store indicated by the figures or symbols can be displayed. The analysis support device according to claim 1, which is input. A point data reading unit that reads point data including location information of a plurality of users of a mobile terminal, time information from which the location information was obtained, and user identification information of the user.
A store information reading unit that reads information including store identification information and store location information for multiple stores,
A user attribute reading unit that reads data of a plurality of attributes of the user,
A store input unit for inputting one or more of the plurality of stores, and
An attribute value input unit for inputting a specific attribute value for each of the plurality of attributes of the user,
Based on the location information of the point data read by the point data reading unit, a visit determination unit that determines the user who visited the store input by the store input unit, and a visit determination unit.
A specific visitor extraction unit that extracts the user who is determined to have visited by the visit determination unit and who has visited each of the plurality of stores as a specific visitor in association with the visited store.
Using the attribute data of all the users as a population, for each of the plurality of stores, the sum of the deviation values of the attribute values input for each of the plurality of attributes of the specific visitor who visited the store. , Deviation value total calculation unit calculated as total deviation value for each store,
An analysis support device having a display unit that displays the store identification information of the plurality of stores and the total deviation value for each store in the order of the total deviation value for each store. It also has a specific visitor number calculation unit that totals the number of specific visitors for each of the plurality of stores.
The display unit displays the store identification information of the plurality of stores and the total deviation value for each store in the order of the total deviation value for each store, and at the same time, displays the number of the specific visitors of the plurality of stores. The analysis support device according to claim 3. Each of the plurality of stores further has an adjustment unit that adjusts the total deviation value for each store based on the number of the specific visitors.
The analysis support device according to claim 4, wherein the display unit displays the store identification information of the plurality of stores and the total deviation value for each store in the order of the adjusted total deviation value for each store. A point data reading step for reading point data including location information of a plurality of users of a mobile terminal, time information from which the location information was obtained, and user identification information of the user.
A store information reading step that reads information including store identification information and store location information for multiple stores,
A user attribute reading step for reading data of one or more attributes of the user,
A store input step for inputting one or more of the plurality of stores, and
An attribute value input step for inputting one or more attribute values of one or more of the user's plurality of attributes, and
A time zone input step for entering one or more time zones out of multiple time zones,
A visit determination step for determining the user who visited the store input in the store input step based on the location information of the point data read in the point data reading step, and a visit determination step.
The user who is determined to have visited by the visit determination step, visits in the input time zone, extracts the user who matches the input attribute value as a specific visitor, and extracts the specific visitor of the specific visitor. A step to calculate the number of specific visitors to total the number, and
It is an analysis support method having a display step of displaying or illustrating the number of specific visitors in association with the input time zone, the input store, and one or more of the input attribute values. hand,
It further has a step of calculating the number of specific visitors by residential area, which totals the number of the specific visitors for each residential area of the specific visitor and obtains the number of specific visitors by residential area, and the residential area is the specific visitor. It is an administrative division where visitors live,
The display step represents the number of specific visitors by residential area at a predetermined position on a map within the corresponding residential area.
The step of calculating the number of specific visitors by residential area determines the place where the user stays for a certain period of time or more at night based on the position information and the time information of the user included in the point data, thereby determining the place where the user stays for a certain period of time or more. An analysis support method that further has a residential area determination step for determining a residential area. The store input step includes displaying a figure or symbol indicating the plurality of stores on a map, and when the user selects the figure or symbol on the map, the store indicated by the figure or symbol can be displayed. The analysis support method according to claim 6, which is input. A point data reading step for reading point data including location information of a plurality of users of a mobile terminal, time information from which the location information was obtained, and user identification information of the user.
A store information reading step that reads information including store identification information and store location information for multiple stores,
A user attribute reading step for reading data of a plurality of attributes of the user, and
A store input step for inputting one or more of the plurality of stores, and
An attribute value input step for inputting a specific attribute value for each of the plurality of attributes of the user, and
Based on the location information of the point data read by the point data reading step, a visit determination step of determining the user who visited the store input in the store input step, and a visit determination step.
A specific visitor extraction step for extracting the user who has determined that the visit determination step has visited and who has visited each of the plurality of stores as a specific visitor in association with the visited store.
Using the attribute data of all the users as a population, for each of the plurality of stores, the sum of the deviation values of the attribute values input for each of the plurality of attributes of the specific visitor who visited the store. , Deviation value total calculation step to be calculated as total deviation value for each store,
An analysis support method having a display step of displaying the store identification information of the plurality of stores and the total deviation value for each store in the order of the total deviation value for each store. It further has a specific visitor number calculation step of totaling the number of the specific visitors for each of the plurality of stores.
In the display step, the store identification information of the plurality of stores and the total deviation value for each store are displayed side by side in the order of the total deviation value for each store, and at the same time, the number of the specific visitors of the plurality of stores is displayed. The analysis support method according to claim 8. For each of the plurality of stores, an adjustment step for adjusting the total deviation value for each store based on the number of the specific visitors is further provided.
The analysis support method according to claim 9, wherein the display step displays the store identification information of the plurality of stores and the total deviation value for each store in the order of the adjusted total deviation value for each store. A computer program for performing the method according to any one of claims 6 to 10. A computer-readable medium in which the computer program according to claim 11 is recorded.

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