JP2016170778A - Market area analysis system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a market area analysis system capable of carrying out various market area analysis without increasing data transmission amount between an analysis server and a client PC.SOLUTION: A market area analysis system having an analysis server 1 and a client PC2 has a client PC2 select a statistic item from a statistic item list, select a shop item from a shop item list, acquire statistical data in a market area from an analysis server 1, display statistical data, shop data by displaying the market area on a map normally used by the client PC2 side, and having a result of market analysis capable of being used by being stored in a storage unit 22 on the client PC2.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a system for analyzing a trade area, and more particularly to a trade area analysis system that can perform a trade area analysis using a plurality of APIs (Application Programming Interfaces).

[Conventional technology]
Conventionally, there are various systems for analyzing a trade area.
[Related technologies]
As related prior art documents, Japanese Patent Application Laid-Open No. 10-307868 “Commercial Area Analysis System” (FMI Corporation, Giken Shoji International Co., Ltd.) [Patent Document 1], Japanese Patent Application Laid-Open No. 11-296539 “Data Processing Device” (OMRON CORPORATION) [Patent Document 2], JP 2002-123787 A “Store Advice Method” (Kanebo Corporation) [Patent Document 3], JP 2004-030563 A “Map display equipment, server device, And “Map Display Program” (Iyolinen Supply Co., Ltd.) [Patent Document 4], Japanese Patent Application Laid-Open No. 2004-152097, “Area Marketing System” (Map Solution Co., Ltd.) [Patent Document 5].

Patent Document 1 discloses a system that reports a trade area by a population or the like in units of meshes.
Patent Document 2 discloses an apparatus that classifies customers according to distance and color-displays the customers on a map based on the number of visits and the purchase amount.
Patent Document 3 discloses a method of calculating and analyzing market share using the number of households and population in each area.
Patent Document 4 discloses an apparatus that ranks customers by store visit frequency and sales and displays customer information on a map.
Patent Document 5 discloses a system in which an ASP (Application Service Provider) server inputs customer information and analyzes a trade area of a store.

Japanese Patent Laid-Open No. 10-307868 JP 11-296539 A JP 2002-123787 A JP 2004-030563 A JP 2004-152097 A

  However, in the above conventional trade area analysis system, particularly when accessing the analysis server and performing trade area analysis, if various analyzes are performed, the amount of data transfer increases and the processing efficiency deteriorates. there were.

  The present invention has been made in view of the above circumstances, and an object thereof is to provide a business area analysis system capable of performing various business area analysis without increasing the data transfer amount between the analysis server and the client PC. To do.

  The present invention for solving the problems of the conventional example described above includes a client area analysis system having a client area analysis instructing a trade area analysis by setting conditions for the market area analysis, and an analysis server performing a trade area analysis in accordance with an instruction from the client apparatus. The client device designates the data to be analyzed from the list of analysis items, sets the trade area analysis conditions for specifying the trade area, sends the trade area analysis instruction to the analysis server, and analyzes from the analysis server. The resulting business area analysis data is stored in the storage unit together with the business area analysis conditions, and the analysis server performs the business area analysis in accordance with the business area analysis conditions and transmits the business area analysis data and the business area analysis conditions to the client device. When the client device instructs the analysis server to perform a trade area analysis, the same trade area analysis conditions are stored in the storage unit. Characterized by the use of trade area analysis data stored in the storage unit to the analysis server without instructing trade area analysis.

  In the above trade area analysis system, the present invention stores the effective period for each data to be analyzed in the storage unit of the client device, and when the client device instructs the analysis server to perform the trade area analysis, Even if the same trade area analysis conditions are stored, if the analysis target data exceeds the valid period, the analysis server is instructed to perform the trade area analysis, and the trade area analysis data is acquired and stored in the storage unit. It is characterized by that.

  In the trade area analysis system, the client device requests the analysis server for a list of available analysis items, and the analysis server responds to a request for a list of available analysis items from the client device. And providing the list.

  According to the present invention, in the business area analysis system, the client device executes a business area analysis instruction in accordance with the business area analysis conditions by calling an application programming interface (API), and the analysis server responds to the API call Analysis processing is performed, and the trade area analysis data of the analysis result is returned to the client device.

  According to the present invention, in the above trade area analysis system, a client device executes a request for a list of available analysis items by calling an API, and an analysis server uses a list of analysis items that can be used for an API call. It is characterized by providing.

  According to the present invention, in the above trade area analysis system, the analysis server includes coordinate data specifying the trade area in the trade area analysis data, and the client device identifies the trade area from the analysis server on the map information normally used. The coordinate data is expanded and the trade area is displayed on the display unit.

  According to the present invention, in the business area analysis system, the client device selects a plurality of business area analysis data from a plurality of business area analysis data stored in the storage unit based on the conditions of the business area analysis and displays the data on the display unit. It is characterized by doing.

  In the business area analysis system, the present invention is characterized in that the available analysis items are statistical items and / or store items, and the data to be analyzed is statistical data and / or store data.

  According to the present invention, in the above trade area analysis system, the analysis server calculates a customer suction rate using a gravity model on the condition of a store location and an attractive value specified by the client device, and stores information on the customer suction rate in the client device. Is transmitted.

  In the business area analysis system, the store position and attractive value specified by the client device include those of the own store and other stores, and the analysis server determines the position and attractive value of the own store and other stores. As a condition, a customer suction rate of the own store and other stores is calculated using a gravity model, and information on the customer suction rate is transmitted to the client device.

  The present invention is characterized in that, in the above trade area analysis system, an analysis server calculates a sales forecast by a multiple regression equation using statistical data stored in a statistical database, and transmits the sales forecast.

  According to the present invention, in the above trade area analysis system, the analysis server aggregates the cluster factors in the trade area for the trade area designated by the client PC, and performs cluster analysis in the trade area to discriminate clusters. It is characterized by transmitting a number.

  According to the present invention, a client device designates data to be analyzed from a list of analysis items, sets a trade area analysis condition for specifying a trade area, transmits a trade area analysis instruction to the analysis server, and receives an analysis server from the analysis server. Is stored in the storage unit together with the conditions of the trade area analysis, and the analysis server performs the trade area analysis according to the conditions of the trade area analysis and transmits the trade area analysis data and the conditions of the trade area analysis to the client device. When the client device instructs the analysis server to perform the trade area analysis, if the same business area analysis conditions are stored in the storage unit, the client apparatus does not instruct the analysis server to perform the trade area analysis. Since it is a business area analysis system that uses stored business area analysis data, it does not increase the data transfer amount between the analysis server and the client device, and it can There is an effect that can be carried out.

It is the schematic of the trade area analysis system which concerns on embodiment of this invention. It is a figure which shows the example of an API group display screen. It is a figure which shows the example of a statistics item list acquisition API display screen. It is a figure which shows the shop item list acquisition API display screen example. It is a figure which shows the example of a trade area coordinate acquisition API display screen. It is a figure which shows the example of a trade area analysis data table. It is the schematic of a data effective period table. It is a flowchart of an API request process in the client PC2. It is a figure which shows the example of a display of a trade area analysis. It is a figure which shows the example of a display of the population in a trade area area. It is a figure which shows the example of a display of a condition part. 10 is a diagram showing a display screen of application example 1. FIG. It is a configuration outline diagram showing another system example.

Embodiments of the present invention will be described with reference to the drawings.
[Outline of the embodiment]
The business area analysis system (this system) according to the embodiment of the present invention specifies statistical data and store data that a client PC selects and uses statistical items and store items from the statistical item list and store item list, and further determines the trade area. When an area condition is specified, the analysis server acquires the coordinate data of the corresponding trade area, performs a trade area analysis using statistical data and store data in the trademark area, and sends the analysis result data to the client PC In addition, the trade area and analysis results are displayed on the map information normally used on the client PC based on the coordinate data, and the results of the trade area analysis are stored on the client PC and can be used any number of times. A variety of trade area analysis can be performed according to the statistical items and store items, and the processing efficiency (processing speed) is improved by reducing the amount of data transfer Is shall.

  Further, in this system, since the past trade area analysis data is selected on the display screen of the client PC and a plurality of trade area areas can be displayed in an overlapping manner, a detailed trade area analysis can be realized.

  In addition, in this system, each statistical item in the statistical item list and each store item in the store item list have an expiration date. When these items are requested, the expiration date is confirmed and the expiration date has passed. Then, even if the client PC stores the analysis result based on the item in the storage unit, since the API is newly requested for the item, the trade area analysis is performed using the latest statistical items and store items. It is something that can be done.

[This system: Fig. 1]
A trade area analysis system (this system) according to an embodiment of the present invention will be described with reference to FIG. FIG. 1 is a schematic diagram of a trade area analysis system according to an embodiment of the present invention.
As shown in FIG. 1, this system has an analysis server 1, a client PC (personal computer) 2, and a Web (web) server 3, and the analysis server 1 and the Web server 3 are connected via a network 4a. The web server 3 and the client PC 2 are connected via the network 4b.

Although a plurality of client PCs (client devices) 2 are originally connected to the Web server 3, only one display is used for the sake of simplicity.
In addition, a plurality of Web servers 3 are originally connected to the analysis server 1, but for the sake of simplicity, only one display is used.

[Parts of this system]
[Analysis server 1]
The analysis server 1 relays the Web server 3 from the client PC 2, calls an API, passes parameters, and provides the statistical item list or / and the store item list to the client PC 2 via the Web server 3. , Provide designated statistical data or / and designated store data in the designated trade area, provide trade area image data for coloring the trade area, and in addition, related data for integrating the provided data I will provide a. If the statistical item list and / or the store item list are not required, the API requesting the list is not called.
The information provided from the analysis server 1 is analysis result data (commercial area analysis data), and the related data includes a business area analysis ID, API conditions, and the like.

Details of the API from the client PC 2 will be described later.
The analysis server 1 is a computer and includes a control unit 11, a storage unit 12, and an interface unit 13. The interface unit 13 includes a network 4a, a statistical database (DB) 14, and a map database (DB) 15. And a store database (DB) 16 are connected.

The control unit 11 reads the processing program stored in the storage unit 12 and activates the processing program to accept the parameter corresponding to the called API and execute the processing.
The storage unit 12 stores a processing program and other data necessary for processing.
The interface unit 13 is an interface for connecting to the network 4a and various DBs.

The statistics DB 14 stores statistical data such as population, number of households, etc. in small areas such as administrative boundaries, postal code areas, and meshes.
Map DB15 memorize | stores the coordinate data of the designated trade area.
The store DB 16 stores the location, site area, floor area, number of parking lots, sales, customer information (customer name, age, address, purchase price, number of visits, visit frequency, etc.) In addition, store data related to the store.

[Client PC2]
The client PC (client device) 2 outputs (calls) the necessary API to the analysis server 1 via the network 4b and the Web server 3, receives the analysis result data from the analysis server 1, and displays it on the display screen. The analysis result data (trade area analysis data) is developed and displayed on the map information normally used.

  The client PC 2 is a computer, and basically includes a control unit 21, a storage unit 22, and an interface unit 23. The interface unit 23 is connected to a network 4b, an input unit 24, and a display unit 25. Yes.

The control unit 21 reads the processing program stored in the storage unit 22 and executes the processing, displays the available API group on the display unit 25, and selects and calls a specific API from the input unit 24. If done, the analysis result data is received and displayed on the display unit 25.
The storage unit 22 stores processing programs and other data.
The interface unit 23 is an interface connected to the network 4b, the input unit 24, and the display unit 25.

[Web server 3]
The Web server 3 relays between the client PC 2 and the analysis server 1, and connects to the client PC 2 via the network 4b and connects to the analysis server 1 via the network 4a.
The client PC 2 may be directly connected to the analysis server 1.
The Web server 3 is a computer, and similarly to the analysis server 1, includes a control unit, a storage unit, and an interface unit, and the interface unit is connected to the networks 4a and 4b.

[API group in the analysis server 1]
An API (application programming interface) refers to a set of instructions, rules, functions, and the like that can be used for programming. In this system, a plurality of APIs for performing trade area analysis, in particular, are stored in the storage unit of the analysis server 1 as API groups. It is remembered.
The API group includes a statistical item list acquisition API, a store item list acquisition API, a trade area coordinate acquisition API, a designated statistical data acquisition API within a designated trade area, a designated store data acquisition API within a designated trade area, a trade area image acquisition API, an integrated API, and the like. Is included.

[API group display screen: Fig. 2]
In this system, when the client PC 2 accesses the analysis server 1, as shown in FIG. 2, a screen for selecting an API group is displayed on the display unit 25, and a necessary API is selected from the screen.
FIG. 2 is a diagram illustrating an example of an API group display screen.
FIG. 2 is used to explain the processing contents of this system in an easy-to-understand manner. Actually, however, as shown in FIG. Then, a necessary API is selected and sequentially called. Accordingly, FIG. 2 is merely an example.

  When an API is selected from the API group display screen of the display unit 25 by the input unit 24 of the client PC 2, the API selected from the client PC 2 is called to the analysis server 1 via the Web server 3.

[Statistical item list acquisition API]
The statistical item list acquisition API inquires about the statistical data of what statistical items are stored in the statistical DB 14 connected to the analysis server 1 and what statistical items are available, and designates the statistical items that can be used. To do. Here, the statistical data of the statistical item is data to be analyzed.
If the available statistical items are known in advance, there is no need to call the statistical item list acquisition API.

[Statistical item list acquisition API display screen: FIG. 3]
Specifically, when the client PC 2 selects the statistical item list acquisition API from the display screen, the API is called to the analysis server 1 and, as shown in FIG. 3, a plurality of statistical items (for example, statistical item A, statistical item) B, statistical item C, etc.) are displayed on the display unit 25 of the client PC 2.
When a statistical item to be used is selected from the input unit 24 among a plurality of statistical items, the statistical data of the selected statistical item becomes a usage target.
FIG. 3 is a diagram illustrating an example of a statistical item list acquisition API display screen.

[Store item list acquisition API]
The store item list acquisition API inquires what store items store data is stored in the store DB 16 connected to the analysis server 1 and what store items can be used, and specifies available store items. To do. Here, the store data of the store item is data to be analyzed.
If the available store items are known in advance, there is no need to call the store item list acquisition API.

[Store item list acquisition API display screen: FIG. 4]
Specifically, when the client PC 2 selects the store item list acquisition API from the display screen, the API is called to the analysis server 1 and a plurality of store items (for example, store items A, B, C) is displayed on the display unit 25 of the client PC 2.
Then, when a store item to be used is selected from the input unit 24 among a plurality of store items, store data of the selected store item becomes a use target.
FIG. 4 is a diagram illustrating an example of a store item list acquisition API display screen.

[Business area coordinate acquisition API]
The business area coordinate acquisition API acquires the business area coordinate data from the map DB 15 connected to the analysis server 1 for the business area designated by the client PC 2 and provides it to the client PC 2 via the Web server 3.

[Business area coordinate acquisition API display screen: FIG. 5]
Specifically, when the client PC 2 selects a trade area coordinate acquisition API from the display screen, the client PC 2 calls the API to the analysis server 1 and displays a map (MAP) normally used by the client PC 2 as shown in FIG. When the trade area is specified from a specific position on the map, the analysis server 1 acquires the coordinate data of the trade area and provides it to the client PC 2, and the client PC 2 displays the coordinates on the normal use map on the display unit 25. Display the trade area by overlaying the data.
FIG. 5 is a diagram illustrating an example of a trade area coordinate acquisition API display screen.
This trade area coordinate acquisition API is also not called unless necessary.

The trade area is specified by, for example, a circle with a radius of 2 km, a travel time of 15 minutes by walking, a travel time of 5 minutes by car, a travel time of 10 minutes by bicycle, and the like.
Accordingly, the trade area may not necessarily coincide with a small area such as an administrative boundary, a postal code area, or a mesh, and may include a part of the small area. In the case of a part of a small area, a ratio (area apportionment) of a part of the area to the whole area of the small area is calculated.

The trade area may be designated as an administrative boundary, a postal code area, a mesh area, or the like, and the coordinate data of the trade area may be acquired.
In particular, coordinate data for specifying the administrative boundary area and zip code area to which the store belongs can be acquired.
Further, since the minimum trade area of the administrative world is specified by “○ chome ○ number ○ No.”, for example, the shape of the site of the store.

[Specified statistical data acquisition API within the specified trade area]
The designated statistical data acquisition API in the designated commercial area acquires statistical data of the statistical item selected by the statistical item list acquisition API for the commercial area acquired by the commercial area coordinate acquisition API.

For example, when the population is selected as the statistical item, the analysis server 1 calculates the population in the trade area. When the trade area includes a part of a small area such as an administrative boundary, a postal code area, or a mesh, it is obtained by dividing the population of the small area by area apportionment. If the population is obtained for each small area, it is easy to use it for analysis of trade areas.
Statistical items include the number of households, household income, number of workers, etc. in addition to population.

[Specified store data acquisition API within the specified trade area]
The designated store data acquisition API in the designated trade area acquires store data of the store item selected by the store item list acquisition API for the trade area acquired by the trade area coordinate acquisition API.

For example, when customer information is selected in the store item, the analysis server 1 extracts customers in the trade area. Further, if the customer information is the purchase price of the customer, the total purchase price of all customers for each small area is calculated.
Further, when the trade area includes a part of the small area, the total purchase amount is calculated based on the area apportionment.
In addition, store items include store location, site area, floor area, number of parking lots, sales, customer information, etc., and customer information includes customer name, age, address, purchase price, number of visits, visit frequency, etc. is there.

[Business Area Image Acquisition API]
The trade area image acquisition API is for each of small areas such as administrative boundaries, postal code areas, or meshes for statistical data or store data acquired by a specified statistical data acquisition API in a specified business area or a specified store data acquisition API in a specified business area. Provides information on how to apply color.

  Specifically, the client PC 2 designates small area color painting, and different colors may be used, or a single color may be displayed with shades of color. In order to make the display on the map easier to see, it is preferable to make the color translucent and transmit. For example, the small area may be colored and the trade area may be covered with another transparent color. Furthermore, it is desirable to display and explain the legend regarding color painting.

[Integrated API]
The trade area image acquisition API provides coloring information for a trade area based on statistical data or store data. However, the designated trade area is not limited to one, and statistical data or store data for a plurality of designated trade areas. There are times when it asks.

For example, even if the center position of the trade area is the same, a trade area area may be obtained for a trade area with a different travel time, and statistical data or store data corresponding to the trade area may be obtained. In this case, it is highly convenient to perform a trade area analysis by displaying these multiple trade area areas simultaneously on the map.
Moreover, it is also possible to display a plurality of trade area areas on the map with different center positions of the trade areas, and to obtain and display statistical data or store data for each trade area.

Therefore, the integrated API assigns a trade area analysis ID to the business area analysis data (API conditions and result data) obtained by the API and transmits the data to the client PC 2 so that a plurality of business area analysis data can be integrated. It is.
The client PC 2 stores the business area analysis data in the storage unit 22 in association with the business area analysis ID. Accordingly, the client PC 2 can redisplay the result data with the trade area analysis ID by referring to the API conditions. If a plurality of trade area analysis data are selected, the client PC 2 displays the combined trade area analysis data in an overlapping manner (integrated display). It becomes possible.
Note that the integrated API, when other APIs are called at a time, transmits information associating data of processing results of these APIs to the client PC 2, and the client PC 2 uses a plurality of information based on the related information. The trade area analysis data may be displayed on the display unit 25 in an integrated manner.

[Business area analysis data table: FIG. 6]
The trade area analysis data stored in the storage unit 22 of the client PC 2 is held as a trade area analysis data table. The trade area analysis data table will be described with reference to FIG. FIG. 6 is a diagram illustrating an example of a trade area analysis data table.
As shown in FIG. 6, the trade area analysis data table stores, for each trade area analysis ID, trade area center coordinate data, trade area type, travel time, trade area area coordinates, statistical data, coordinate data, and the like. Although not shown in FIG. 6, date and time data acquired in the trade area analysis data is also stored in the trade area analysis data table.

The trade area center coordinate data is the center coordinates for specifying the trade area, the trade area type is “walk”, “car”, etc. for specifying the trade area, and the travel time is the time required to visit the store, etc. .
In addition, the trade area area coordinates are a set of coordinates that make up the outer periphery of the trade area, the statistical data is statistical data acquired in the designated trade area, and the store data is the store data obtained in the designated trade area. is there.

  The trade areas to be overlapped are the same statistical items or store items with different travel times, different statistical items or store items with the same travel time, different statistical items or store items with different travel times, and the statistical items and stores. A trade area using both items is also conceivable.

  Further, when calling the API, the client PC 2 searches for the API condition, and if there is the same condition, the client PC 2 does not call the API to the analysis server 1 and re-stores the past business area analysis data stored in the storage unit 22. It can also be used, and the amount of data transfer can be reduced.

[Data validity period table: FIG. 7]
A data valid period table is stored in the storage unit 22 of the client PC 2. The data validity period table will be described with reference to FIG. FIG. 7 is a schematic diagram of a data validity period table.
In the data validity period table, as shown in FIG. 7, validity periods are set in association with data types and items.

The types of data are statistical data, store data, and the like, and items are items acquired by a statistical item list acquisition API, a store item list acquisition API, and the like, such as statistical item A and store item C.
The valid period is set according to the timing when the item is updated. That is, an item with a short data update period is a short period accordingly, and an item with a long data update period is a long period accordingly.

This data validity period table is used when acquiring data such as statistical items and store items to be analyzed by the statistical item list acquisition API, the store item list acquisition API, and the like.
Specifically, the control unit 21 of the client PC 2 refers to the API conditions to be called, and confirms whether the trade area analysis data has been acquired and stored in the trade area analysis data table of FIG. Further, with respect to the statistical data and store data, the effective period is referred to in the data effective period table of FIG. 7, and if the effective period has elapsed, an API is newly called to the analysis server 1. If the valid period has not elapsed, the business area analysis data in the business area analysis data table is used without calling the API.

  Whether or not the valid period has passed is determined if the elapsed period from the income date and time of the trade area analysis data in the trade area analysis data table of FIG. 6 exceeds the valid period of the data valid period table of FIG. If it has not exceeded, it is determined that it has not elapsed.

[API request (call) processing in client PC2: FIG. 8]
An API request processing flow in the client PC 2 will be described with reference to FIG. FIG. 8 is a flowchart of API request processing in the client PC 2.
As shown in FIG. 8, the control unit 21 of the client PC 2 requests (calls) the statistical item list acquisition API or / and the store item list acquisition API (S11), and then requests (calls) the trade area coordinate acquisition API. (S12).

  Then, the control unit 21 of the client PC 2 searches the business area analysis data table in the storage unit 22 (S13), determines whether the business area analysis data has already been acquired under the same analysis conditions (S14), and has already been acquired. If it is (No), the designated statistical data acquisition API in the designated business area or / and the designated store data acquisition API in the designated business area are requested (S15). In response to the request, the trade area analysis data is stored in the storage unit 22 (S16). If the trade area analysis data has been acquired in the determination process S14 (in the case of Yes), the process proceeds to process S17.

  Even if the trade area analysis data has already been acquired, if the designated statistical data or the designated store data has passed the valid period stored in the data valid period table of FIG. The latest store area analysis data may be acquired by requesting the API or / and the specified store data acquisition API in the specified area.

  In the composite API, whether or not to use a plurality of business area analysis data is specified from the input unit 24, and when a plurality of business area analysis data is not used (in the case of No), a single business area analysis data is obtained. A process of displaying is performed (S18), and when a plurality of business area analysis data is used (in the case of Yes), a process of displaying a plurality of business area analysis data is performed (S19), and the process is terminated.

[Example of trade area analysis: Fig. 9]
A display example of the trade area analysis displayed on the display unit 25 of the client PC 2 will be described with reference to FIG. FIG. 9 is a diagram illustrating a display example of the trade area analysis.
As shown in FIG. 9, the display example includes a map information part 31, a statistical information part 32, and a condition part 33.

The map information portion 31 displays a situation where the small area is color-coded and the trade area is painted with another color of transparency. In addition, when the small area is designated as an administrative boundary or a mesh, color coating is performed according to the color coding.
The statistical information portion 32 is, for example, a bar graph showing the population structure for each age group by gender in the trade area.

[Example of population in the trade area in the statistical information part: Fig. 10]
The statistical information portion 32 can also display a list of populations within the trade area. FIG. 10 is a diagram showing a display example of the population in the trade area.
FIG. 10 shows the ratio of the area of the trade area, the population of the administrative community, the proportion of the area, and the towns of the area for each administrative boundary code for populations 75 years or older.
The area apportioned population is calculated by “population” × “area ratio”. The total of the population and the apportioned area is required.

[Display example of condition part: FIG. 11]
As shown in FIG. 11, the condition portion 33 displays / hides the “commercial area type” as “commercial area type” as “car”, the travel time “10 minutes”, the small area type as “layer” as “town chome”, and the commercial area. “Population” is set as the “statistical item” and “store area” is set as the store item.
FIG. 11 is a diagram illustrating a display example of the condition portion.
Note that the “execute” button is provided at the bottom of FIG. 11 so that the condition can be reset and the API corresponding to the condition can be called to obtain a new trade area analysis result. It has become.

[Application Example 1]
FIG. 9 shows an example in which the client PC 2 receives and displays the trade area analysis data, but before calling the API, the display screen of FIG. 9 is displayed on the display unit 25 and the condition is specified in the condition part. Then, the API may be called to the analysis server 1 in response to the “execute” instruction, and the trade area analysis data may be received from the analysis server 1 to display the map information portion and the statistical information portion.
In this case, as an initial screen, neither the map information part nor the statistical information part is displayed.

[Initial screen of application example 1: FIG. 12]
The initial screen of application example 1 will be described with reference to FIG. FIG. 12 is a diagram illustrating a display screen of the application example 1.
On the initial screen of Application Example 1, “STEP 1 Specify analysis location” is used to search for an analysis location by an address or the like, and the map information normally used by the client PC 2 is displayed on the map display portion 41. In the map information, the center position is displayed, and the center position becomes the analysis site.

  Next, in “STEP2 Select statistical item, store item, and trade area type”, the analysis condition setting unit 42 selects the statistical item, store item, and trade area type from the pull-down menu, and also inputs the distance (km) from the analysis site. To do.

When the instruction input unit 43 for acquiring the trade area analysis data is instructed to “acquire data”, the following API is called.
In other words, the client PC 2 calls the “trade area coordinate acquisition API” for obtaining the coordinate data of the trade area according to the trade area type from the analysis site to the analysis server 1 and obtains the statistical data selected by the statistical item in the trade area. The “designated statistical data acquisition API within the designated commercial area” is called, and the “designated store data obtaining API within the designated commercial area” is obtained, which acquires the store data selected by the store item in the commercial area.

Then, the client PC 2 calls the “integrated API” for integrating the processing result data obtained by the above calls into the analysis server 1.
As a result, the client PC 2 displays the analysis result data as shown in FIGS. 9 to 12 from the analysis server 1 in an integrated manner.
If it is not necessary to acquire the coordinate data of the trade area as an analysis condition, the “trade area coordinate acquisition API” is not called.

[Application 2]
Corresponding to the trade area analysis data table of FIG. 6, a display screen can be created in which API conditions for each trade area analysis ID can be referred to in a list, and one or more past trade area analysis data can be selected and used from the display screen. Like that. That is, using this list as an index of the trade area analysis data table, one or more trade area analysis data selected from the input unit 24 of the client PC 2 can be read from the trade area analysis data table, displayed on the display screen, and used. To.
In this case, since it is difficult to refer to the trade area center coordinates, an address may be displayed instead of the center coordinates.

[Application Example 3]
In this system, the analysis server 1 returns the trade area analysis data in response to the API call from the client PC 2, but the analysis server 1 transfers the called API to another analysis server, The trade area analysis data analyzed by the analysis server may be returned, and the trade area analysis data may be transmitted to the client PC 2 via the Web server 2.

[Another system example: FIG. 13]
Another system example will be described with reference to FIG. FIG. 13 is a schematic configuration diagram illustrating another system example.
In another system, as shown in FIG. 13, the client PC 2 accesses the Web server 3 via the network 4, downloads a program for calling an API to the analysis server 1, and the client PC 2 uses the network 4. This is a system for calling an API to the analysis server 1.
The network 4 shows an example in which map data normally used by the client PC 2 is stored, and a MAP providing server 5 that provides map data in response to a request from the client PC 2 is connected.

[Application examples of trade area analysis]
An application example of trade area analysis in this system will be described.
In the application example of the trade area analysis, “designation of trade area range” means, “display / aggregation of competing store information” means, “evaluation (comment)” means, “use of gravity model” means, “sales forecast” means, “target value” "Creating / Aggregating Trade Area" means, "Use Geo-Demo / Distinguishment Model" means, "Customer Information Distribution" means, "Point Aggregation" means, "Customer Trend Aggregation" means, etc. are executed on the display screen as a result of the trade area analysis It is what is displayed.
Incidentally, in the application example of the trade area analysis, a processing program is executed by the control unit 11 of the analysis server 1, and each means is realized by accepting parameters corresponding to the called API.
Hereinafter, each means will be described.

[Specify trade area]
When the trade area range is designated from the client PC 2, the trade area range designation means calculates and creates the trade area range information (information indicating the border of the trade area range) displayed on the map information by the control unit 11 of the analysis server 1. To the client PC 2.
Specifically, the client PC 2 transmits the condition information of the trade area range to the analysis server 1, and based on the condition information, the control unit 11 displays the trade area range on the MAP of the report.
Examples of the condition information of the trade area range include “a radius of 2 km from a specific position” and “a polygon formed by connecting a plurality of designated coordinate data in order”. The specific position may be a store position or an arbitrary position.

[Display / aggregate competitor information]
The competing store information display / aggregation means generates competing store information according to an instruction from the client PC 2, further performs compiling processing of the competing store information, and transmits the competing store information and aggregation information to the client PC 2. To do.
Specifically, the analysis server 1 stores information on competing stores in the store DB 16. The information on the competitor stores may be stored in the storage unit 12.
The competitive store information may be provided from the client PC 2 or may be provided from an external server.

The competing store information display / aggregation means transmits information for displaying the location of the competing store to the client PC 2 in the map information or within a specific trade area, and generates a list of competing stores. The list information is transmitted to the client PC 2.
The list of competing stores shows the store area, number of parking lots, business hours, and number of employees for each competing store. For the area, the area of the entire competing store is totaled and divided by the number of stores to calculate the average store area. The store area of the company can be compared with the average value. Moreover, you may rank the store area of a competing store.
Here, although the competing stores are targeted at stores of the same industry, other stores of different industries may be displayed and aggregated.

[Evaluation Comments)]
The evaluation (comment) means evaluates the contents analyzed and totaled in the analysis server 1 with reference to the statistical DB 14 and the like, creates a comment, and transmits it to the client PC 2.
The comment content is a text of the characteristics of the area based on statistical information. For example, the population of the analyzed area is much smaller than the average of the whole country (the prefecture where the area belongs, the city where the area belongs), Or, the number of elderly people in the area is smaller than the average.

The evaluation is not limited to statistical information, but may be based on customer information or cluster information when cluster analysis is performed.
In the trade area, in which area many customers are located and in which area sales are high is displayed in text. For example, based on the distribution of the number of customers in the zip code area within the trade area, there are many customers in the south west area of the trade area (identified by the zip code area), or the northeast area of the trade area (identified by the zip code area) Commented that 60% of sales account for 60% of sales.

[Use Gravity Model]
The gravity model using means calculates the customer suction rate using the gravity model in accordance with the conditions (store position, store attractive value, etc.) designated by the client PC 2.
In this system, the gravity model is obtained by using, for example, a Hough model analysis, and is a method of conducting a customer attraction survey and a sales prediction taking into consideration a trade area and competitors before opening a store.

  Specifically, the suction rate (ratio at which the store pulls customers) is calculated using the Huff model analysis for each postal code area of the store, and the area with a high suction rate is displayed in dark color, and the suction rate is low Is displayed in a light color to generate customer suction rate information. Thereby, the information on the customer suction rate is reflected on the map information, and the suction rate can be expressed visually and easily. In addition, you may make it obtain | require by calculating the suction rate of a specific competitor store.

  The attraction rate is calculated by dividing the attractive value of the store (the sales floor area, the number of parking spaces, the number of items, etc.) by the λ power of (the distance between the customer's residence and the store), and using the numerator This is calculated by dividing the product of (the customer's residence position and the distance between other stores) by the λ power and adding up a plurality of other stores as the denominator.

And you may obtain | require the suction | attraction rate about an own store, attach the color for an own store as an area more than a specific ratio (for example, 60%), and display it on map information.
Further, the suction rate may be obtained for other stores in the competing store, and an area of a specific ratio (for example, 60%) or more may be displayed on the map information with a color for the other store as a territory (area).
By displaying the territory of the own store and the territory of the competitor store in different colors on the map information, it is possible to easily recognize the power range (influence range) of each store.
Note that the analysis server 1 may transmit only the information about the customer suction rate of the own store or another store to the client PC 2 so that the client PC 2 displays the customer suction rate information.

[Sales forecast]
The sales prediction means calculates a sales prediction when a sales prediction formula is designated by the client PC 2.
A sales regression formula is used as a sales forecast formula, and a sales forecast is calculated based on data such as an area population and annual income in the statistical DB 14. Sales forecasts can be calculated without using customer information.
The client PC 2 displays the predicted sales figures.

[Create / Aggregate Target Value Trade Area]
The target value trade area creation / aggregation means creates the trade area information from the target value when the target value of the trade area (the numerical value of the target condition when forming the trade area) is specified from the client PC 2. Is what you do.
For example, when “50,000 people in a trade area” is input as a target value, an area with a population of 50,000 is specified centering on a specific position (for example, a store position) on the map information. Is colored or surrounded by a dark frame to create information for forming a target value trade area.

Specifically, the postal code area or administrative area is expanded around a specific location, the population in the expanded area is added, and the postal code until then when the total population exceeds 50,000 The area or administrative boundary area is set as a trade area with a population of 50,000 in the trade area.
Then, the target value trade area creation / aggregation means generates information for displaying the customer in dots on the map information of the client PC 2 based on the customer information within the created target value trade area. The distribution situation can be recognized.

[Use geo-demo / discriminant model]
The geodemo / discriminant model using means aggregates the trade area by the geodemo, discriminates the cluster by the discriminant model by the regional feature and the statistical feature, and assigns the cluster number.
Geodemo is a coined word consisting of geography that represents geography and demography that represents demographics. It is a combination of regional features and statistical features that express each feature of the postal code area, etc. .
Specifically, when the trade area radius 1 km is specified from the client PC 2, the cluster factors in the area of the trade area specified by the client PC 2 are totaled, and the cluster analysis is performed in the trade area to identify (determine) the cluster. Give the cluster number. Thereby, the cluster of the whole specified trade area area can be recognized.

[Distribution of customer information]
The customer information distribution means creates information for plotting (drawing) the customer distribution on the map information in the client PC 2 based on the customer information provided from the client PC 2.
In addition to simply plotting the position of the customer on the map information, the position information of each customer is included and transmitted to the client PC 2. As a result, the client PC 2 can selectively display the position of the customer according to the conditions.

[Point collection]
In this system, customer information is totaled for each zip code area or administrative boundary area, but the point totaling means totals customer information in units of a trade area or a plurality of areas (wide area).
Specifically, the number of customers or the total purchase amount of customers in a designated trade area (for example, a radius of 1 km) is totaled. Customers in the business area are determined by the customer's location information (coordinate data or address data).

[Aggregating customer trends in the government]
When the administrative circle related to the store or customer is designated from the client PC 2, the statistical data of the administrative circle, the cluster analysis result of the cluster analysis, the deviation value compared with the national average, Are ranked and transmitted to the client PC 2. The statistical data, the deviation value, and the ranking are created based on the statistical data in the statistical DB 14.
As a result, the client PC 2 displays statistical data, cluster analysis results, deviation values, and rankings on a specific administrative boundary on the display unit.

[Effect of the embodiment]
According to this system or another system, a statistical item is selected from a statistical item list, a store item is selected from a store item list, statistical data and store data in a trade area are acquired, and a map that is normally used on the client PC 2 side Since the trade area is displayed on the top, the statistical data and the store data are displayed, and the result of the trade area analysis is stored in the storage unit 22 of the client PC 2 so that it can be used many times. There is an effect that the processing efficiency can be improved by reducing the data transfer amount.

  Furthermore, since data related to multiple times of trade area analysis is managed by the trade area analysis ID so that a plurality of trade area areas can be displayed in an overlapping manner, there is an effect that the trade area analysis can be performed at a higher level.

  The present invention is suitable for a trade area analysis system that can perform various trade area analysis without increasing the data transfer amount between the analysis server and the client PC.

  DESCRIPTION OF SYMBOLS 1 ... Analysis server, 2 ... Client PC (personal computer), 3 ... Web (web) server, 4, 4a, 4b ... Network, 5 ... MAP provision server, 11 ... Control unit, 12 ... Storage unit, 13 ... Interface unit, 14 ... Statistical database (DB), 15 ... Map database (DB), 16 ... Store database (DB), 21 .. Control unit, 22 ... Storage unit, 23 ... Interface unit, 24 ... Input unit, 25 ... Display unit, 31 ... Map information part, 32 ... Statistical information part, 33. ..Condition part

Claims (12)

A trade area analysis system having a client device that sets a trade area analysis condition to instruct a trade area analysis, and an analysis server that performs a trade area analysis according to an instruction from the client device,
The client device designates data to be analyzed from a list of analysis items, sets a trade area analysis condition for specifying a trade area, transmits a trade area analysis instruction to the analysis server, and receives an analysis result from the analysis server. Is stored in the storage unit together with the conditions of the trade area analysis,
The analysis server performs a trade area analysis in accordance with a trade area analysis condition, and transmits the trade area analysis data and the trade area analysis condition to the client device.
When the client device instructs the analysis server to perform a trade area analysis, if the same business area analysis conditions are stored in the storage unit, the client apparatus does not instruct the analysis server to perform the trade area analysis. A trade area analysis system using stored trade area analysis data. In the storage unit of the client device, an effective period is stored for each data to be analyzed,
When the client device instructs the analysis server to analyze the trade area, even if the same trade area analysis conditions are stored in the storage unit, the analysis is performed if the data to be analyzed exceeds the valid period. 2. The business area analysis system according to claim 1, wherein a business area analysis is instructed to a server, and business area analysis data is acquired and stored in the storage unit. The client device requests the analysis server for a list of available analysis items,
3. The trade area analysis system according to claim 1, wherein the analysis server provides the list in response to a request for a list of available analysis items from the client device. The client device executes a business area analysis instruction according to the conditions of the business area analysis by calling an application programming interface (API),
4. The business area analysis system according to claim 1, wherein the analysis server performs an analysis process on the API call, and returns the analysis result of the business area analysis data to the client device. The client device executes a request for a list of available analysis items by calling an API,
5. The trade area analysis system according to claim 1, wherein the analysis server provides a list of analysis items that can be used for the API call. The analysis server should include the coordinate data specifying the trade area in the trade area analysis data,
6. The client device according to claim 1, wherein the client device expands coordinate data for specifying a trade area from the analysis server on map information that is normally used, and displays the trade area on a display unit. Trade area analysis system.   The client device selects a plurality of business area analysis data from a plurality of business area analysis data stored in the storage unit based on a condition of the business area analysis, and displays the selected data on the display unit. 6. The trade area analysis system according to any one of 6.   8. The trade area analysis system according to claim 1, wherein the available analysis items are statistical items and / or store items, and the data to be analyzed is statistical data and / or store data. .   The analysis server calculates a customer suction rate using a gravity model on the condition of a store location and an attractive value designated by the client device, and transmits the customer suction rate information to the client device. The trade area analysis system according to any one of claims 1 to 8. The store location and attractiveness value specified by the client device are those of the own store and other stores,
The analysis server calculates the customer suction rate of the own store and the other store using the gravity model on the condition of the position and attractive value of the own store and the other store, and transmits the information of the customer suction rate to the client device. The trade area analysis system according to claim 1, wherein:   The business area analysis system according to any one of claims 1 to 10, wherein the analysis server calculates a sales forecast by a multiple regression equation using statistical data stored in a statistical database, and transmits the sales forecast.   The analysis server aggregates cluster factors in the trade area for the trade area designated by the client PC, performs cluster analysis in the trade area, discriminates the cluster, and transmits a cluster number. Item 12. The trade area analysis system according to any one of Items 1 to 11.

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