JP5356772B2 - Point evaluation device, point evaluation system, and point evaluation program - Google Patents

Description

  The present invention relates to a point evaluation device, a point evaluation system, and a point evaluation program for generating evaluation data for a target point that is an evaluation target.

  2. Description of the Related Art Conventionally, techniques for acquiring and using attributes such as age and sex of a person who passes through a railway station or other points have been proposed. For example, in Patent Literature 1 and Patent Literature 2 below, when passing through an automatic ticket gate device, an attribute of the holder is acquired from a commuter pass, and advertisements and other display information displayed on the display device based on this attribute are displayed. A configuration to determine is disclosed.

JP 2001-337661 A JP 2004-220498 A

  However, in the conventional technique, display information such as advertisement contents is directly determined from the acquired attribute, and other data is related to the attribute, and the attribute acquisition point is evaluated from a viewpoint different from the attribute. I couldn't do it.

  The present invention has been made in view of the above-described conventional problems, and its purpose is to provide a point evaluation apparatus, a point evaluation system, and a point evaluation system capable of evaluating a target point from which attribute data of a user has been acquired from a viewpoint different from the attribute data. To provide a point evaluation program.

In order to achieve the above object, the invention according to claim 1 is a point evaluation device that is used by an attribute acquisition device acquired at a target point and received by a management server , passing through or collecting the target point. Attribute data including a person's address is received from the management server via the communication means, and the evaluation basic data set in advance and stored in the storage device is read from the storage device based on the address The association means for generating the related evaluation basic data and storing it in the storage device, and the related evaluation basic data is read from the storage device, and the user who passes or gathers the target point is determined by the related evaluation basic data. And an evaluation data generation means for classifying and generating a frequency distribution to generate evaluation data.

  The invention according to claim 2 is the point evaluation apparatus according to claim 1, wherein the target point is a railway station, and the attribute data is address data of a person who uses the station as a starting point or an ending point of a commuter pass. It is characterized by.

  According to a third aspect of the present invention, in the point evaluation apparatus according to the first aspect, the target point is a railway station, and the attribute data includes a starting point and an ending point of a commuter pass among those who get on and off the station. It is the address data of those who are not.

  According to a fourth aspect of the present invention, in the point evaluation apparatus according to the first aspect, the target point is an installation point of a base station of the mobile communication device, and the attribute data is address data of an owner of the mobile communication device. It is characterized by that.

  According to a fifth aspect of the present invention, in the point evaluation apparatus according to the first aspect, the target point is a point set on a road or along a road, and the attribute data is an address of an owner of a vehicle equipped with a car navigation device. It is characterized by being data.

  According to a sixth aspect of the present invention, the point evaluation apparatus according to any one of the first to fifth aspects is further based on the related evaluation basic data for the person for whom the attribute data is not set. An estimation means for estimating relevant evaluation basic data is provided, wherein the evaluation data generating means generates evaluation data of the target point based on the relevant evaluation basic data estimated by the estimating means.

  According to a seventh aspect of the present invention, the point evaluation apparatus according to the sixth aspect further includes a representative value for obtaining a representative value of the basic evaluation data in a certain area from a point related to a person for whom the attribute data is not set. Computation means is provided, and the estimation means estimates the related evaluation basic data for a person for whom the attribute data is not set based on a calculation result of the representative value calculation means.

  The invention according to claim 8 is the point evaluation apparatus according to any one of claims 1 to 7, wherein the evaluation basic data is average annual income data of a region.

  The invention according to claim 9 is the point evaluation apparatus according to any one of claims 1 to 7, wherein the basic evaluation data is regional household composition data.

  A tenth aspect of the present invention is the point evaluation apparatus according to the eighth aspect, wherein the evaluation data is an average annual income distribution of a person who passes or gathers at the target point.

  The invention described in claim 11 is the point evaluation apparatus according to claim 9, wherein the evaluation data is an average household composition distribution of persons who pass or gather the target point.

  The invention described in claim 12 is a point evaluation system, wherein the point evaluation device according to any one of claims 1 to 11 and an attribute acquisition device that acquires user attribute data at the target point. And an attribute transmission device that transmits the attribute data acquired by the attribute acquisition device to the point evaluation device.

The invention according to claim 13 is a point evaluation program, which includes an address of a user who passes through or gathers at the target point, which is acquired by the attribute acquisition device at the target point and received by the management server. The attribute data is received from the management server via the communication means, and the evaluation basic data set in advance and stored in the storage device for the attribute data is read from the storage device and associated based on the address, and the related evaluation Correlation means for generating basic data and storing it in a storage device, reading out the related evaluation basic data from the storage device , classifying users who pass through or gather at the target point according to the related evaluation basic data, and calculate the frequency distribution function as an evaluation data generation means for generating evaluation data asking characterized.

  According to the inventions of claims 1 to 5, 12, and 13, the target point from which the user's attribute data is acquired can be evaluated from a viewpoint different from the attribute data.

  According to the invention of claim 6 and claim 7, a person for whom attribute data is not set can be used for evaluation of the target point.

  According to the eighth and tenth aspects of the present invention, the target point can be evaluated from an economic viewpoint based on the average annual income of the user.

  According to invention of Claim 9 and Claim 11, a target point can be evaluated from an economical viewpoint by a user's household composition.

  Hereinafter, the best mode for carrying out the present invention (hereinafter referred to as an embodiment) will be described with reference to the drawings.

  FIG. 1 shows a configuration example of a point evaluation system according to the present embodiment. In FIG. 1, the point evaluation system includes a point evaluation device 10, an attribute acquisition device 12, and a management server 14. Moreover, the point evaluation apparatus 10, the attribute acquisition apparatus 12, and the management server 14 are connected by a network or other appropriate communication means 16.

  The point evaluation device 10 receives the attribute data of the user acquired at the target point, generates related evaluation basic data in which the evaluation basic data is associated with this attribute data, and the evaluation data of the target point based on the related evaluation basic data Is a computer that generates

  The attribute acquisition device 12 acquires attribute data of a user who passes or gathers at the target point. As this attribute acquisition device 12, for example, an automatic ticket gate provided at a railway station, a base station of a mobile communication device such as a mobile phone, and vehicle information collection for acquiring vehicle operation information from a GPS attached to a car navigation device There are centers. The attribute acquisition device 12 may also function as a management server 14 described later. In this case, the management server 14 can be omitted.

  The management server 14 receives user attribute data from the attribute acquisition device 12 via the communication means 16, transmits this attribute data to the point evaluation device 10 via the communication means 16, and sends the attribute data from the point evaluation device 10 to the target. Receive point evaluation data.

  FIG. 2 shows an example of the hardware configuration of a computer that constitutes the point evaluation apparatus 10. In FIG. 2, a point evaluation apparatus 10 includes a central processing unit (for example, a CPU such as a microprocessor can be used) 18, a random access memory (RAM) 20, a read only memory (ROM) 22, a communication interface 24, and an input device. 26, a display device 28, and a hard disk device (HDD) 30. These components are connected to each other by a bus 32.

  The CPU 18 controls the operation of each unit to be described later based on a control program stored in the RAM 20 or the ROM 22. The RAM 20 mainly functions as a work area for the CPU 18, and the ROM 22 stores a control program such as BIOS and other data used by the CPU 18.

  The communication interface 24 includes a USB (Universal Serial Bus) port, a network port, and other appropriate interfaces, and is used by the CPU 18 to exchange data with an external device via the communication means 16 such as a network.

  The input device 26 includes a keyboard, a pointing device, and the like, and is used by a user to input operation instructions and the like.

  The display device 28 is configured by a liquid crystal display or the like, and displays user attribute data, evaluation data, and other processing results.

  The hard disk device 30 is a storage device, and stores various data necessary for processing to be described later.

  FIG. 3 shows a functional block diagram of an embodiment of the point evaluation apparatus 10 according to the present embodiment. In FIG. 3, the point evaluation apparatus 10 includes an association unit 34, an evaluation data generation unit 36, an estimation unit 38, a representative value calculation unit 40, and a communication unit 42. These functions are, for example, those of the CPU 18 and the CPU 18. This is realized by a program for controlling the processing operation.

  The associating unit 34 receives the attribute data of the user acquired by the attribute acquisition device 12 from the management server 14, associates the basic evaluation data set in advance and stored in the hard disk device 30 or the like with the attribute data, and the related evaluation Generate basic data. The evaluation basic data may be obtained by the communication unit 42 from an external server or the like. Here, the target points include, for example, railway stations, base station installation points of mobile communication devices, points set on roads or along roads (stores and intersections), and the like. As attribute data, for example, there is address data of users who get on and off at a railway station, there is address data of the owner of the portable communication device with respect to the base station of the portable communication device, on the road or along the road There is address data of the owner of the vehicle on which the car navigation device is mounted at the point set to. For users who get on and off at the above stations, for example, those who use the above station as the starting point or ending point of the commuter pass, and those who are not the starting point and ending point of the commuter pass (including passengers using non-contact IC cards and magnetic cards other than the fixed pass) ). Furthermore, basic evaluation data includes regional average annual income data, regional household composition data, and the like. The associating unit 34 estimates the annual income of the user who lives at the address from the average annual income data of the area for each address as the attribute data, or estimates the household composition of the user who lives at the address from the household composition data of the area. The estimated annual income or household composition of the user is associated with each user's attribute data and stored in a storage device such as the hard disk device 30 as related evaluation basic data.

  The evaluation data generation unit 36 generates evaluation data of the target point based on the related evaluation basic data. Here, the evaluation data refers to data or the like obtained by classifying the users who pass through or gather at the target point according to the above-mentioned related evaluation basic data and make a frequency distribution. This evaluation data is preferably aggregated, for example, every hour or every day of the week.

  The estimation unit 38 estimates related evaluation basic data for a user for whom no attribute data such as an address is set, based on the related evaluation basic data associated with the attribute data. For example, if the target point is a railway station and the related evaluation basic data is the annual income of the user for whom attribute data is set, the station other than the target point where the user for whom attribute data is not set gets on Is estimated as the nearest station to the user's home, and the average income of each user with attribute data that uses the station as the starting or ending point is averaged from the station to the target station. Estimated annual income of users for whom attribute data using railways is not set. Further, when the related evaluation basic data is a household composition or the like, it can be similarly estimated. The station estimated as the nearest station is a station used as a starting point or an ending point by a person for whom attribute data is not set, and is a point related to a person for whom the attribute data is not set.

  For example, when the target point is a railway station, the representative value calculation unit 40 obtains a representative value of the evaluation basic data for stations other than the target point. For example, if the evaluation basic data is the average annual income data of the area, the average annual income of each area within a certain range from the station other than the target point is averaged over the range, and this value is used as a representative value. is there. In the case where the basic evaluation data is a household composition, the representative value can be obtained in the same manner. The estimation unit 38 estimates the representative value calculated by the representative value calculation unit 40 as related evaluation basic data of a person for whom attribute data using the station is not set.

  The communication unit 42 exchanges attribute data, evaluation data, and the like with the attribute acquisition device 12 and the management server 14 via the communication interface 24 and the communication unit 16.

  4 to 6 show examples of user attribute data acquired at the target point. FIG. 4 shows an example where the target point is a railway station. The ID (identification code) of a commuter pass or boarding ticket made up of a non-contact ID card, etc., boarding time, boarding station, start / end point, get-off time, It includes items such as getting off station, starting / ending point, name, address. Here, the start / end point represents whether the boarding station or the getting-off station is the start point or end point of the commuter pass. With this information, it is possible to determine whether or not the railway station as the target point is the starting point or ending point of the commuter pass.

  FIG. 5 is an example when the target point is an installation point of a base station of a mobile communication device, and includes items such as the mobile communication device ID, call start time, call end time, base station ID, name, and address It is. Based on the base station ID, it is possible to determine at which point the owner of the mobile communication device has made a call. In addition, it is good also as transmission / reception of an email instead of a telephone call. In the case of this example, the installation point of the base station can be specified by the base station ID.

  FIG. 6 is an example in a case where the target point is a point set on the road or along the road, and the ID of the car navigation device, the travel route history of the vehicle equipped with the car navigation device, and the vehicle equipped with the car navigation device. Items such as the owner's name and address are included. These pieces of information are collected at the vehicle information collection center. By setting the target point on the road or along the road, the evaluation data can be used for, for example, a store opening plan in the vicinity of the target point.

  FIG. 7 shows an example of evaluation basic data. FIG. 7 shows an example of the average annual income data of the area. For each mesh (rectangular area; for example, 1 km square) that divides the map, the average value of the annual income of the person having an address in the mesh is color-coded. (Hatching etc.). Further, when the basic evaluation data is a household composition, it can be displayed in the same manner.

  FIG. 8 shows a map showing the location of the address extracted from the user attribute data shown in FIG. Note that the map shown in FIG. 8 is a map of the same region as the map shown in FIG. In FIG. 8, the location of the address is indicated by a white circle or a black circle, and the white circle is the address of the person whose station A is the starting point or ending point of the commuter pass as the target point, and the black circle is the starting point of the commuter pass and the station A. This is the address of the person who is not the end point. From this result, for example, depending on whether station A is regularly used as the nearest station of residence or work place (in the case of starting point or ending point) or temporarily used (in cases other than starting point or ending point) Evaluation data can be aggregated. In addition, although the person who does not use the station A as the starting point or the ending point of the commuter pass and the person who does not use the station A as an example here, the embodiment of the present invention is not limited to this example. The same aggregation can be performed for a person who has moved to station B (not shown) as an end point, and conversely, a person who has moved from station B to station A, which is the starting point or ending point of a commuter pass.

  The associating unit 34 associates the address position of the user shown in FIG. 8 with the evaluation basic data shown in FIG. In this association process, for example, the mesh in FIG. 7 corresponding to the address position in FIG. 8 is determined, and the average annual income represented by the mesh is set as the annual income of the user having the address as attribute data. In this way, the annual income can be associated with each user who uses the station A to obtain the related evaluation basic data.

  In addition, when the target point is a railway station, for a user whose address is not set as attribute data, the estimation unit 38 uses the station as a starting point or an ending point for each station other than the station A. The related evaluation basic data is averaged by the number of users, and this average value is estimated as the related evaluation basic data of the user for whom the address using the station is not set.

  Further, as another method for estimating the related evaluation basic data, the representative value calculation unit 40 calculates a value obtained by averaging the average annual income represented by the mesh included in the fixed range set for each station other than the station A in the fixed range. There is a method of estimating the representative value as the representative value at the station and the estimating unit 38 as the related evaluation basic data of the user for which attribute data using the station is not set.

  The evaluation data generation unit 36 classifies the users who get on and off the station A, which is the target point, according to the related evaluation basic data, obtains a frequency distribution, and generates evaluation data. When the related evaluation basic data is annual income, the users are classified according to annual income, and the number of users who get on and off the station A is totaled for each annual income to obtain a frequency distribution to obtain evaluation data. If the related evaluation basic data is a household composition, for example, it is classified into single, two couples, a couple and one child, a couple and two children, etc., and a frequency distribution is obtained and used as evaluation data. In addition, you may further classify | categorize a user according to whether it is a man and woman, the start / end point of a commuter pass, etc. Moreover, you may produce | generate evaluation data for every time slot | zone.

  FIG. 9 shows an example of evaluation data when the target point is a railway station. FIG. 9 is an example in which the frequency distribution is obtained by classifying the users according to the annual income. The annual income of the users is less than 3 million yen, 3 to 5 million yen, 5 to 7 million yen, 700 It was classified into 10 million yen or more and 10 million yen or more. The classification is also made by season, day of the week, time zone (morning, noon, night), by gender, and whether station A is the starting and ending point of the commuter pass. The case where the commuter pass is not the start / end point is, for example, in the middle of a commuter pass section or outside the commuter pass section. It also includes the case of getting on and off with a ticket of an anonymous IC card in which attribute data such as an address is not set. In this case, evaluation data is generated using the related evaluation basic data estimated by the estimation unit 38.

  In FIG. 9, the number of users getting on and off at the station A for each of the above-mentioned classifications is totaled to obtain a frequency distribution. As a result, it is possible to know the distribution of annual income of users passing through or gathering at station A, that is, the state of purchasing power of goods, and evaluation from an economic viewpoint that is different from the address of the user of station A. can do. In addition, even when the related evaluation basic data is the household composition of the user, it is possible to know the purchasing tendency of the user who passes or gathers at the station A by the evaluation data, and can be evaluated from an economic viewpoint. .

  FIG. 10 shows a flow of an operation example of the point evaluation device 10 according to the present embodiment. In FIG. 9, when the association unit 34 acquires the attribute data acquired by the attribute acquisition device 12 via the communication unit 42 (S1), the association unit 34 extracts an address from the attribute data, the average annual income data of the region, etc. (S2). Next, the associating unit 34 generates the user's related evaluation basic data by estimating the annual income and the like of each user from the address of each user (S3).

  Next, the evaluation data generation unit 36 generates evaluation data by classifying the users who pass through or gather at the target point based on the related evaluation basic data and obtain the frequency distribution (S4).

  Note that the above-described program for executing each step of FIG. 10 can be stored in a recording medium, and the program may be provided by communication means. In that case, for example, the above-described program may be regarded as an invention of a “computer-readable recording medium recording the program”.

It is a figure which shows the structural example of the point evaluation system concerning this embodiment. It is a figure which shows the example of the hardware constitutions of the computer which comprises the point evaluation apparatus concerning this embodiment. It is a figure which shows the functional block diagram of one Embodiment of the point evaluation apparatus concerning this embodiment. It is a figure which shows the example of the attribute data of the user acquired in the target point. It is a figure which shows the example of the attribute data of the user acquired in the target point. It is a figure which shows the example of the attribute data of the user acquired in the target point. It is a figure which shows the example of evaluation basic data. It is the figure which represented on the map the position of the address extracted from the attribute data of a user. It is a figure which shows the example of the evaluation data at the time of making a target point into a railway station. It is a flowchart of the operation example of the point evaluation apparatus concerning this embodiment.

Explanation of symbols

  10 point evaluation device, 12 attribute acquisition device, 14 management server, 16 communication means, 18 CPU, 20 RAM, 22 ROM, 24 communication interface, 26 input device, 28 display device, 30 hard disk device, 32 bus, 34 association unit, 36 evaluation data generation unit, 38 estimation unit, 40 representative value calculation unit, 42 communication unit.

Claims (13)

The attribute acquisition device receives at the target point and receives the attribute data including the address of the user who passes or gathers at the target point and received by the management server from the management server via the communication means, and the attribute data An association means for reading the basic evaluation data set in advance and stored in the storage device from the storage device and associating based on the address, generating the related basic evaluation data and storing it in the storage device ,
An evaluation data generating means for reading out the related evaluation basic data from the storage device , classifying users who pass through or gather at the target point according to the related evaluation basic data, and generating evaluation data by obtaining a frequency distribution ;
A point evaluation apparatus comprising:   The point evaluation apparatus according to claim 1, wherein the target point is a railway station, and the attribute data is address data of a person who uses the station as a starting point or an ending point of a commuter pass.   2. The point evaluation apparatus according to claim 1, wherein the target point is a railway station, and the attribute data is address data of a person who is not at the starting point and ending point of the commuter pass among those who get on and off at the station. A point evaluation apparatus characterized by that.   2. The point evaluation apparatus according to claim 1, wherein the target point is an installation point of a base station of a mobile communication device, and the attribute data is address data of an owner of the mobile communication device. .   2. The point evaluation apparatus according to claim 1, wherein the target point is a point set on a road or along a road, and the attribute data is address data of an owner of a vehicle equipped with a car navigation device. Point evaluation device. The point evaluation device according to any one of claims 1 to 5, further comprising: estimating the related evaluation basic data for a person who is not set with the attribute data based on the related evaluation basic data With means,
The said evaluation data production | generation means produces | generates the evaluation data of the said target point based on the relevant evaluation basic data which the said estimation means estimated, The point evaluation apparatus characterized by the above-mentioned. The point evaluation device according to claim 6, further comprising a representative value calculation means for obtaining a representative value of the evaluation basic data in a region within a certain range from a point related to a person for whom the attribute data is not set,
The estimation means estimates the related evaluation basic data for a person for whom the attribute data is not set based on a calculation result of the representative value calculation means.   The point evaluation apparatus according to any one of claims 1 to 7, wherein the evaluation basic data is regional average annual income data.   The point evaluation apparatus according to any one of claims 1 to 7, wherein the basic evaluation data is regional household composition data.   9. The point evaluation apparatus according to claim 8, wherein the evaluation data is an average annual income distribution of a person who passes or gathers at the target point.   The point evaluation apparatus according to claim 9, wherein the evaluation data is an average household composition distribution of persons who pass or gather at the target point. The point evaluation apparatus according to any one of claims 1 to 11,
An attribute acquisition device for acquiring user attribute data at the target point;
An attribute transmitting device that transmits the attribute data acquired by the attribute acquiring device to the point evaluation device;
A point evaluation system characterized by comprising: Computer
The attribute acquisition device receives at the target point and receives the attribute data including the address of the user who passes or gathers at the target point and received by the management server from the management server via the communication means, and the attribute data An association means for reading the basic evaluation data set in advance and stored in the storage device from the storage device and associating based on the address, and generating the related evaluation basic data and storing it in the storage device ,
Evaluation data generating means for reading the related evaluation basic data from a storage device , classifying users who pass through or gather at the target point according to the related evaluation basic data, and obtain evaluation data by obtaining a frequency distribution ;
A point evaluation program characterized by functioning as

Images