JP5470016B2 - Customer attraction analysis apparatus and method of attraction acquisition - Google Patents

Description

  The present invention relates to a customer collection area analysis apparatus and a customer collection area analysis method for analyzing the ability to attract customers at a customer collection area using information obtained from navigation data.

  A store opening plan, a trade area analysis, and the like are generally performed by using position information, movement information, and the like of people. Moreover, the following technologies using a portable terminal as means for acquiring position information and movement information are disclosed.

  For example, Patent Document 1 discloses a technique related to a customer information display system capable of displaying a customer's customer acquisition status and movement status in an exhibition hall or the like. According to this, a change in the position of the mobile terminal in the venue is generated and displayed as an image from the identification information and position information of the mobile terminal.

  Patent Document 2 discloses a technique related to an orientation system that can analyze the interest trends of visitors in an amusement park. According to this, the walking route and staying time of a visitor are totaled, and an interest trend of a visitor is analyzed.

JP 2008-40919 A JP 2002-44008 A

  In the systems disclosed in Patent Document 1 and Patent Document 2, since a narrow area such as an exhibition hall or an amusement park is targeted, it is possible to specify a place for attracting customers based on the position information of the mobile terminal and the remaining time. However, when targeting a wide area, the location of the customer that is analyzed based on the location information obtained from the mobile terminal or the time it stayed is one of the processes to reach the target location of the customer. In many cases, the target user is not necessarily the destination for attracting customers. For this reason, the above-described conventional system has a problem that high accuracy cannot be obtained in analyzing the customer destination.

  An object of the present invention is to provide a customer collection place analysis apparatus and a customer collection place analysis method capable of performing customer collection place analysis with high accuracy.

In order to solve the above-mentioned problems, the customer center analysis apparatus of the present invention is based on setting information obtainable from a navigation system that guides a user from a current position to a destination by inputting setting information including information on the destination. A customer collection site analysis device for analyzing customer collection locations, a navigation information reading unit for reading a plurality of setting information input to a plurality of navigation systems, and a plurality of setting information read by the navigation information reading unit , Based on the extraction unit that extracts the analysis target setting information that is the setting information when the navigation system guides the user to the destination, and the position information of the destination included in the analysis target setting information extracted by the extraction unit, containing a density calculating section, the position information for calculating the kernel density of points the final arrival of the user And attracting point information setting unit for setting the attracting destination information about the attracting area, from among the set attract locations in attracting point information setting unit, a predetermined kernel density point at a final arrival place calculated in the density calculation unit value A customer center analysis unit that extracts a customer center located in the above area, a map information reading unit that reads map information, a kernel density of points that are final arrival points calculated by the density calculation unit, and a customer center information setting unit And an output unit that superimposes the map information read by the map information reading unit and outputs the map information .

In addition, the method for collecting customer destinations according to the present invention is based on the setting information that can be acquired from the navigation system that guides the user from the current position to the destination by inputting the setting information including information about the destination. A method for collecting customer destinations in a customer center analysis apparatus for performing analysis, wherein a navigation information reading unit reads a plurality of setting information input to a plurality of navigation systems, and an extraction unit reads a navigation information reading step The extraction step for extracting the analysis target setting information, which is the setting information when the navigation system guides the user to the destination, and the density calculation unit are extracted by the extraction step among the plurality of setting information read in Based on the location information of the destination included in the analysis target setting information, A density calculating step of calculating a kernel density of points the final arrival of The, attracting point information setting unit, the attracting point information setting step of setting the attracting destination information about attracting locations including location information, attract locations analyzer However, from the customer destinations set in the customer destination information setting step, customer destination analysis that extracts the customer destinations located in the area where the kernel density of the point that is the final destination calculated in the density calculation step is a predetermined value or more is extracted. The map information reading unit, the map information reading step for reading the map information, and the output unit, the kernel density of the point that is the final arrival point calculated in the density calculating step, and the customer destination information setting step An output step for superimposing and outputting the location of the customer attraction and the map information read in the map information reading step , Characterized in that it comprises.

  The destination information input in the navigation system includes a destination name, a telephone number, a place arbitrarily designated on the map, and is managed in association with position information such as latitude and longitude.

  According to such a customer center analysis device and a customer center analysis method, among the setting information that can be acquired from the navigation system, for example, when the guidance by the navigation system is interrupted, the final destination is entered by the user. The setting information when the user does not arrive at the destination is removed, and the density of the final destination of the user is calculated using the position information of the destination included in the setting information when the user finally arrives at the destination input by the user . This makes it possible to extract a region that is strongly related to the final destination where the user actually arrived as a destination for attracting customers, so that it is possible to execute a destination collection analysis with high accuracy. .

  In the customer attraction analysis apparatus of the present invention, the extraction unit may determine that the navigation system has guided the user to the destination based on log information in which the navigation system has guided the user. According to such a customer attraction analysis apparatus, it is possible to reliably extract the setting information when the user is guided to the destination input by the navigation system from the setting information input to the navigation system.

  Further, in the customer attraction analysis device according to the present invention, the customer attraction analysis unit may output a ranking related to the power to attract customers based on the density of the final arrival place where the customer attraction is located. According to such a customer collection area analysis device, it is possible to objectively analyze a customer collection area that has the ability to attract customers from among a plurality of customer collection areas.

  Further, in the customer center analysis device of the present invention, a map information reading unit that reads map information, the density of the final destination calculated by the density calculation unit, the position of the customer destination set by the customer center information setting unit, You may further provide the output part which superimposes and outputs the map information read by the map information reading part. According to such a customer attraction analysis apparatus, it is possible to provide information that can objectively determine the distribution situation of the customer attraction destinations that have the ability to attract customers and the degree of the ability to attract customers.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to analyze the customer collection place with a high precision and the ability to attract customers.

1 is a system configuration diagram of a communication system including a customer attraction analysis apparatus according to a preferred embodiment of the present invention. It is a block diagram which shows the detailed functional structure of the mobile apparatus of FIG. 1, and various processing nodes. It is a block diagram which shows the function structure of the customer center analysis apparatus concerning suitable embodiment of this invention. It is a figure explaining an example of a data structure of navigation setting information, navigation log information, and navigation information. It is a figure explaining an example of a data structure of the kernel density of the last arrival place. It is a figure explaining an example of a data structure of customer collection place setting information. It is a figure explaining an example of the calculation method of the kernel density of the last arrival place. It is a figure which shows an example of the distribution condition of the last arrival place. It is a figure explaining an example of the calculation method of the kernel density of the last arrival place. It is a figure explaining an example of the kernel density distribution of the last arrival place. It is a figure which shows an example which outputs the customer collection place with a customer-collection power. It is a flowchart which shows the process in the communication system of FIG. It is a flowchart which shows the process in the customer attraction analysis apparatus of FIG.

  Embodiments of the present invention will be described with reference to the accompanying drawings. Where possible, the same parts are denoted by the same reference numerals, and redundant description is omitted.

[Configuration of communication system]
FIG. 1 is a system configuration diagram of a communication system 10 according to a preferred embodiment of the present invention. As shown in FIG. 1, the communication system 10 includes a mobile device 100, a BTS (base station) 200, an RNC (radio control device) 300, an exchange 400, various processing nodes 700, and a management center 500. . The management center 500 includes a social sensor unit 501, a petamining unit 502, a mobile demography unit 503, and a visualization solution unit 504.

  The mobile device 100 is equipped with a navigation system that guides the user from the current position to the destination by inputting setting information including information about the destination. The mobile device 100 includes a navigation application unit 101 and a navigation data transmission unit 102 as shown in FIG.

  The navigation application unit 101 is a part that receives input of the setting information from the user and performs guidance of the user from the current position to the destination according to the setting information. The setting information here is, for example, according to a setting information table mainly including “user identifier”, “destination name”, “latitude”, “longitude”, and “navigation ID” as shown in FIG. It is configured. Here, when the “destination name” is input, the navigation application unit 101 performs geoprocessing (spatial processing) on the input information and replaces it with point data, that is, “latitude” and “longitude”. Similar processing is performed when an address or the like is included as setting information.

  The navigation data transmitting unit 102 is a part that transmits setting information input to the navigation system to a navigation data receiving unit 701 described later. For example, the navigation application unit 101 presents a course candidate to be advanced to the user at a position that becomes a node of a road, accumulates the course actually traveled by the user, and manages these as navigation log information. The navigation log information mainly includes, for example, “user identifier”, “flag”, “time stamp”, “latitude”, “longitude”, “navigation ID”, etc., as shown in FIG. 4B, for example. Configured according to the navigation log table.

  The navigation data transmitting unit 102 transmits the setting information and the navigation log information to a navigation data receiving unit 701 described later.

  The exchange 400 collects location information of the mobile device 100 and setting information and log data in the navigation system via the BTS 200 and the RNC 300. The RNC 300 can measure the position of the mobile device 100 using the delay value in the RRC connection request signal when communication connection is established with the mobile device 100. The exchange 400 can receive the position information of the mobile device 100 measured in this way when the mobile device 100 performs communication connection. The exchange 400 stores the received position information, and outputs the collected position information to the management center 500 at a predetermined timing or in response to a request from the management center 500. Here, in general, the RNC 300 is composed of about 1,000 pieces and is arranged throughout Japan. On the other hand, about 300 exchanges 400 are arranged in Japan.

  The various processing nodes 700 acquire the location information of the mobile device 100 through the RNC 300 and the exchange 400, perform recalculation of the location in some cases, and collect at a predetermined timing or in response to a request from the management center 500 The obtained position information is output to the management center 500. Each processing node 700 includes a navigation data receiving unit 701 as shown in FIG. The navigation data receiving unit 701 receives the setting information transmitted from the navigation data transmitting unit 102, and receives the collected position information and setting information at a predetermined timing or in response to a request from the management center 500. Output to 500.

  As described above, the management center 500 includes the social sensor unit 501, the petamining unit 502, the mobile demography unit 503, and the visualization solution unit 504. In each unit, setting information transmitted from the mobile device 100 is provided. Various processes using are performed.

  The social sensor unit 501 is a server device that collects data including the position information of the mobile device 100 and the above-described setting information from each exchange 400 and various processing nodes 700 or offline. The social sensor unit 501 receives data periodically output from the exchange 400 and the various processing nodes 700, or acquires data from the exchange 400 and the various processing nodes 700 according to a predetermined timing in the social sensor unit 501. It is configured to be able to do.

  The petamining unit 502 is a server device that converts data received from the social sensor unit 501 into a predetermined data format. For example, the petamining unit 502 performs a sorting process using a user identifier as a key, or performs a sorting process for each navigation ID.

  The mobile demography unit 503 is a server device that performs aggregation processing on the data processed in the petamining unit 502, that is, count processing for each item. For example, the mobile demography unit 503 can calculate the kernel density from the point data of the final arrival place or extract the point data of the customer collection place belonging to a certain area.

  The visualization solution unit 504 is a server device that processes the data aggregated in the mobile demography unit 503 so as to be visible. For example, the visualization solution unit 504 can map the aggregated data on a map. The data processed by the visualization solution unit 504 is provided to companies, government offices, or individuals, and used for store development, road traffic surveys, disaster countermeasures, environmental countermeasures, and the like. It should be noted that the information statistically processed in this way is processed so that individuals are not specified so as not to infringe privacy.

  The social sensor unit 501, the petamining unit 502, the mobile demography unit 503, and the visualization solution unit 504 are all configured by the server device as described above, and although not shown, the basic configuration of a normal information processing device Needless to say, it includes a CPU, a RAM, a ROM, an input device such as a keyboard and a mouse, a communication device that communicates with the outside, a storage device that stores information, and an output device such as a display and a printer.

[Configuration of Customer Location Analysis Device 600]
Next, the customer attraction analysis apparatus 600 according to the present embodiment will be described. FIG. 3 shows a functional block configuration of the customer attraction analysis apparatus 600. As shown in FIG. 3, the customer attraction analysis apparatus 600 includes a navigation information reading unit 601, an extraction unit 602, a density calculation unit 603, a customer attraction information setting unit 604, a customer attraction site analysis unit 605, a map information reading unit 606, and an output unit. 607. The function of each part will be described later.

The setting information in this embodiment is processed in the form of point data mainly including position information indicating the position of the destination, a navigation ID indicating the identifier of the setting information, and a user identifier of the data. Navigation log information
Point data over a plurality of settings for a large number of users is stored in the navigation information database 670. As the “point data” here, GPS positioning data obtained by a GPS positioning system is adopted. The line data including the section position information, the polyline data indicating the section area, and other map information are stored in the map information database 680.

  The correspondence between the logical configuration of FIG. 3 and the system configuration of FIG. 1 will be outlined. Here, as an example, the customer attraction analysis apparatus 600 in FIG. 3 corresponds to the mobile demography unit 503 and the visualization solution unit 504 in FIG. 1, and the navigation information database 670 and the map information database 680 in FIG. This corresponds to the petamining unit 502.

  Hereinafter, the function of each part of the customer attraction analysis apparatus 600 of FIG. 3 is demonstrated. The navigation information reading unit 601 is point data including information related to a destination input to the navigation system, a “navigation ID” indicating an ID of setting information, and a user identifier of the user, and a plurality of pieces of information about a plurality of users. This is a part for reading the point data over the setting from the navigation information database 670. As shown in FIG. 4A, the point data is, for example, a navigation setting information table formed mainly including “user identifier”, “destination”, “latitude”, “longitude”, and “navigation ID”. Is stored in the navigation information database 670.

  The navigation information reading unit 601 is also a part that reads log information in which the navigation system guides the user. Specifically, the navigation information reading unit 601 mainly displays “user identifier”, “flag”, “time stamp”, “longitude”, “latitude”, and “navigation ID” as shown in FIG. The data configured in accordance with the navigation log information table included in is read from the navigation information database 670.

  The extraction unit 602 extracts analysis target setting information that is setting information when the navigation system guides the user to the destination among the plurality of setting information read by the navigation information reading unit 601. Specifically, the extraction unit 602 determines that the navigation system has guided the user to the destination based on log information in which the navigation system has guided the user. Specifically, based on the navigation setting information having the data structure as shown in FIG. 4A and the navigation log information having the data structure as shown in FIG. 4B, the “navigation ID”, “latitude”, “ Extract data with common longitude. It should be noted that “latitude” and “longitude” are not limited to those that completely match, but may be treated as common data even when they are located within a predetermined range. Then, the extraction unit 602, as shown in FIG. 4C, for example, “user identifier”, “flag”, “time stamp”, “latitude”, “longitude”, “start time latitude”, “start time” Data according to a navigation information (analysis target setting information) table formed mainly including “longitude”, “end time latitude”, and “end time longitude” is generated.

  The density calculation unit 603 calculates the density of the final destination of the user based on the location information of the destination included in the navigation information extracted by the extraction unit 602. Specifically, the kernel density as shown in FIG. 9 is set based on the location of the destination included in the navigation information as shown in FIG. 4C, that is, “destination latitude” and “destination longitude”. calculate. Then, the density calculation unit 603, as shown in FIG. 5, for example, a kernel density table formed mainly including “area identifier”, “area name”, “area polygon information”, and “kernel density maximum value”. Generate data according to

  The customer center information setting unit 604 is a part for setting customer center information relating to the customer center including the position information. The customer collection place information can be arbitrarily set by the system administrator, and the customer collection place where the customer collection ability is to be analyzed is input. The destination information set in the destination information setting unit 604 is managed according to a destination information table formed mainly including, for example, “name of destination”, “latitude” and “longitude” as shown in FIG. Is done.

  The customer collection place analysis unit 605 extracts a customer collection place located in an area where the density of the final arrival place calculated by the density calculation unit 603 is equal to or higher than a predetermined value from the customer collection places set by the customer collection place information setting unit 604. . Specifically, for example, from the kernel density distribution as shown in FIG. 9, for example, an area having a kernel density as shown in FIG. Extraction is performed based on “latitude” and “longitude” included in the customer attraction information as shown in FIG. Further, the customer center analysis unit 605 outputs, for example, a ranking related to the power to attract customers as shown in FIG. 11 based on the kernel density of the customer destinations extracted as described above.

  The map information reading unit 606 is a part that reads map information stored in the map information database 680.

  The output unit 607 reads the kernel density of the final destination calculated by the density calculation unit 603, the “latitude” and “longitude” of the customer destination set by the customer destination information setting unit 604, and is read by the map information reading unit 606. This is the part that outputs the map information superimposed on the position. Specifically, for example, as shown in FIG. 10, map information, an area having a kernel density equal to or higher than a predetermined threshold, and the location of the customer attraction are displayed in an overlapping manner.

[Processing at Customer Attraction Analysis Device 600]
In the following, a process of analyzing a customer collection place with the ability to collect customers by the customer collection place analysis device 600 will be described in detail with reference to FIGS. First, processing until navigation setting information and navigation log information read by the navigation information reading unit 601 in the customer attraction analysis apparatus 600 are stored in the navigation information database will be described.

  First, as shown in FIG. 12, the navigation application unit 101 in the mobile device 100 receives information about the destination from the user (step S1). Next, the navigation application unit 101 calculates the position and route to the destination (step S2). Next, the navigation data transmission unit 102 transmits, for example, navigation setting information having a configuration as shown in FIG. 4A to the navigation data reception unit 701 described later, including information related to the destination that has received the input in step S1. (Step S3).

  Returning to FIG. 12, next, the navigation application unit 101 starts a navigation process for guiding the user to the purpose (step S4). As an example of the navigation process, there is, for example, a process indicating a course to be advanced to the user at an intersection or the like. Next, the navigation data transmission unit 102 transmits navigation log information indicating the contents processed by the navigation application unit 101 (step S5). The navigation log information is data having a configuration as shown in FIG. 4B, for example.

  Returning to FIG. 12, next, the navigation application unit 101 confirms whether or not the user has arrived at the purpose, and determines whether or not to end the navigation (step S6). The navigation application unit 101 repeats a series of navigation processes until the user arrives at the destination input in step S1 (steps S4 to S6).

  The navigation data receiving unit 701 in the various processing nodes 700 receives the navigation setting information transmitted by the navigation data transmitting unit 102 in step S3 (step S11) and stores it in the navigation information database 670. The navigation data receiving unit 701 in the various processing nodes 700 receives the navigation log information transmitted by the navigation data transmitting unit 102 in step S5 (step S12) and stores it in the navigation information database 670.

  In the following, the customer collection analysis process executed by the customer collection analysis device 600 will be described. As shown in FIG. 13, the navigation information reading unit 601 first reads navigation setting information and navigation log information from the navigation information database 670 (step S31).

  Here, destination information is input in the navigation setting information, but it cannot be determined from the navigation setting information until the user arrives at the input destination. Because, even if you enter the destination in the navigation system, you may change the destination on the way, or just set a destination to collect as a landmark, but the final destination may not be the input destination Because there is. Therefore, in the present embodiment, it is determined that the user has arrived at the destination by processing the following steps S32 and S33.

  That is, the extraction unit 602 determines whether or not the navigation system has guided the user to the destination based on the log information in which the navigation system has guided the user (step S32). Specifically, based on the navigation setting information shown in FIG. 4A and the navigation log information shown in FIG. 4B, data having common “navigation ID”, “latitude”, and “longitude” will be described later. Extracted as analysis target setting information when calculating the kernel density. As a result, only the data arriving at the destination is extracted from the navigation setting information, and acquired as navigation information as shown in FIG. 4C (step S33).

Next, as shown in FIG. 7, the density calculation unit 603 performs the destination position information (P ₁ , P ₂ ,..., P _n ) included in the navigation information acquired in step S33, that is, “Purpose”. Based on the “latitude” and “destination longitude”, the kernel density of the user's final destination is calculated (step S34). As shown in FIG. 8, the kernel density of the final arrival point indicates that the higher the density area, the more the user has points (P ₁ , P ₂ ,..., P _n ) as the final arrival point. . When specifically showing in FIG. _8, an area A1 which points P 2 to P ₅ are _{concentrated,} and the area A2 to point P 6 _{to P 13} are _{concentrated,} and the area A3 of points P 14 _{to P 17} are concentrated However, it can be seen that the kernel density is high.

Next, the customer attraction analysis unit 605 extracts an area where the kernel density calculated at step S34 is equal to or greater than a predetermined threshold (step S35). For example, if the threshold value of the kernel density D is D ₂ in FIG. 8, the customer attraction analysis unit 605 extracts regions B ₁ , B ₂ , and B ₃ as shown in FIG.

Next, the customer collection point analysis unit 605, based on the location information of the customer collection point input in the customer collection point information setting unit 604, the customer collection points X ₁ and X located in the areas B1, B2, and B3 extracted in step S35. extracting the _{2, X 3} (step S36).

Next, the customer attraction analysis unit 605 calculates the ranking of the customer attraction based on the kernel density for the customer attraction sites X ₁ , X ₂ , and X _{3 in the} regions B1, B2, and B3 where the kernel density is equal to or greater than a predetermined threshold (step) S37). For example, when the magnitude relationship of the kernel density at the location of customer collection locations X ₁ , X ₂ , and X ₃ is X ₁ > X ₂ > X ₃ , the ranking order determined by the customer collection location analysis unit 605 is the customer collection location X _1. , Customer destination X ₂ , customer destination X ₃ . As a result, it is possible to determine a customer destination that is strongly related to the user's final destination.

Next, the customer center analysis unit 605 outputs the ranking calculated in step S37, for example, in a data format as shown in FIG. 11 (step S38).
In parallel with step S37 and step S38, step S41 and step S42 are processed. That is, the map information reading unit 606 reads map information from the map information database 680 (step S41).

Next, the output unit 607 superimposes and outputs the region where the kernel density calculated in step S35 is equal to or greater than a predetermined threshold, the location of the customer attraction extracted in step S36, and the map information read in step S43. (Step S42). The output unit 607 is, for example, a kernel density D is predetermined threshold _{D 2} or more regions, the position of the attracting locations _{X 1, X 2, X 3} , X 4, by superimposing the map information, shown in FIG. 10 Such data can be output. Further, the output unit 607, for example, as shown in FIG. 9, according to the kernel density D calculated by the density calculation unit 603, for each region having a predetermined kernel density D (for example, D <D ₁ , D ₁ ≦ D < D ₂ , D ≧ D ₂ ) may be output by superimposing the map information on the color or hatched data.

  As described above, according to the customer attraction analysis apparatus 600 of the present embodiment, out of the navigation setting information that can be acquired from the navigation system, for example, when the guidance by the navigation system is interrupted, the input destination If the user does not finally arrive at the destination, the setting information is removed, and the user's final arrival is performed using the destination position information included in the setting information only when the user finally arrives at the input destination. Calculate the kernel density for the ground. This makes it possible to extract a region that is strongly related to the final destination where the user actually arrived as a destination for attracting customers, so that it is possible to execute a destination collection analysis with high accuracy. .

In addition, according to the customer attraction analysis device 600 of the present embodiment, the customer attraction analysis unit 605 outputs a ranking related to the power to attract customers based on the kernel density of the final arrival location where the customer attraction is located. from a plurality of attracting locations X ₁ to X _n, it is possible to objectively analyze the attracting locations with pulling power.

  Further, according to the customer collection area analysis apparatus 600 of the present embodiment, the kernel density of the user's final arrival place, the position of the customer collection area, and the map information can be output in an overlapped manner, so that it has the ability to attract customers. It is possible to provide information that can objectively determine the distribution situation of the ground and the degree of ability to attract customers.

  The present invention has been described in detail based on the embodiments. However, the present invention is not limited to the above embodiment. The present invention can be modified in various ways as described below without departing from the scope of the invention.

  In the customer attraction analysis apparatus 600 of the above-described embodiment, it is determined whether the user has arrived at the destination input to the navigation system based on the navigation log information, but the present invention is not limited to this. For example, when arriving at the destination input as the navigation setting information, the navigation application unit 101 generates navigation information as shown in FIG. 4C, and the navigation data transmission unit 102 transmits the navigation information. You may do it.

Further, the Acquisition locations analyzer 600 of the above embodiment, calculates an area of the kernel density is equal to or higher than a predetermined threshold value D _2, in which has been described by way of example of extracting attract locations in the area is limited to the Absent. For example, the customer attraction analysis unit 605 may extract an area where the kernel density calculated by the density calculation unit 603 is equal to or greater than a predetermined threshold (for example, D ₂ ) as a site for attracting customers.

  Further, in the customer attraction analysis apparatus 600 of the above-described embodiment, the example in which Step S37 and Step S38 and Step S41 and Step S42 are processed in parallel has been described. However, the present invention is not limited to this example. For example, Step S37 The processing may be performed in the order of step S38, step S41, and step S42, or may be performed in the order of step S41, step S42, step S37, and step S38.

  DESCRIPTION OF SYMBOLS 10 ... Communication system, 100 ... Mobile device, 101 ... Navi application part, 102 ... Navigation data transmission part, 400 ... Switch, 500 ... Management center, 501 ... Social sensor unit, 502 ... Petamining unit, 503 ... Mobile demography unit 504 ... Visualization solution unit, 600 ... Customer collection site analysis device, 601 ... Navigation information reading unit, 602 ... Extraction unit, 603 ... Density calculation unit, 604 ... Customer collection site information setting unit, 605 ... Customer collection site analysis unit, 606 ... Map Information reading unit, 607 ... output unit, 670 ... navigation information database, 680 ... map information database, 700 ... various processing nodes, 701 ... navigation data receiving unit.

Claims (4)

This is a navigation system for collecting customers based on the setting information that can be acquired from the navigation system that guides the user from the current position to the destination by inputting setting information including information about the destination. And
A navigation information reading unit that reads a plurality of the setting information input to a plurality of the navigation systems;
Among the plurality of setting information read by the navigation information reading unit, an extraction unit that extracts analysis target setting information that is setting information when the navigation system guides the user to the destination;
A density calculation unit that calculates a kernel density of a point that is a user's final destination based on the location information of the destination included in the analysis target setting information extracted by the extraction unit;
A customer destination information setting unit for setting customer destination information related to customer destinations including location information;
From the customer destinations set by the customer destination information setting unit, the customer destinations located in an area where the kernel density of the point that is the final destination calculated by the density calculation unit is a predetermined value or more are extracted. With the Customer Location Analysis Department,
A map information reading unit that reads map information;
The kernel density of the point that is the final destination calculated by the density calculation unit, the location of the customer destination set by the customer destination information setting unit, and the map information read by the map information reading unit. An output unit that superimposes and outputs;
A customer attraction analysis device characterized by comprising:   The said extraction part determines with the said navigation system having guided the user to the said destination based on the log information which recorded the content which the said navigation system guided the said user. Customer center analysis device.   The customer attraction site analysis according to claim 1, wherein the customer attraction site analysis unit outputs a ranking related to the ability to attract customers to the customer attraction based on the density of the final destination where the customer attraction is located. apparatus. Attracting customers in a customer attraction analysis device that analyzes customer attraction based on the setting information obtainable from a navigation system that guides the user from the current position to the destination by inputting setting information including information about the destination A method of ground analysis,
A navigation information reading unit that reads a plurality of the setting information input to a plurality of the navigation systems;
Extraction unit, among the plurality of the setting information read in the navigation information reading step, an extraction step of the navigation system extracts the analyte setting information is setting information when the guide the user to the destination ,
A density calculating unit that calculates a kernel density of a point that is a user's final destination based on position information of the destination included in the analysis target setting information extracted by the extraction step;
A customer center information setting unit for setting customer center information regarding a customer center including location information, a customer center information setting step,
A customer collection point analysis unit is located in a region in which the kernel density of the point that is the final arrival point calculated in the density calculation step is a predetermined value or more from the customer collection points set in the customer collection point information setting step A customer center analysis step for extracting the customer center;
A map information reading unit that reads map information;
The output unit, the kernel density of the point that is the final destination calculated in the density calculation step, the location of the customer destination set in the customer destination information setting step, and the read in the map information reading step A customer attraction analysis method, comprising: an output step of superimposing and outputting map information.

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