JP2012141661A - Commercial facility data analysis device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a commercial facility data analysis device capable of categorizing a commercial facility in consideration of such an external factor as fluctuation in data on the commercial facility.SOLUTION: A commercial facility data analysis device 1 comprises: a commercial facility DB 13a which stores commercial facility data including environment data on an environment of a commercial facility, resource data on a resource, and geographic data on geography; and a facility position specification section 12a which positions each of a plurality of commercial facilities in a three-dimensional space having an environment axis, a resource axis and a geographic axis. The facility position specification section 12a positions the plurality of the commercial facilities in the three dimensional space by: obtaining the commercial facility data on each commercial facility from the commercial facility DB 13a, specifying a corresponding position of the commercial facility on the environment axis based on the environment data included in the obtained commercial facility data; specifying the corresponding position of the commercial facility on the resource axis based on the resource data; and specifying the corresponding position of the commercial facility on the geography axis based on the geographic data.

Description

  The present invention relates to a commercial facility data analysis apparatus for analyzing data related to a plurality of commercial facilities.

  Conventionally, results data obtained from each of a plurality of commercial facilities in order to analyze the management status of commercial facilities (for example, medical treatment data such as the number of operations in hospitals, usage data such as the number of guests in hotels, etc.) A comparison has been made. For example, a management support system for a medical institution has been proposed for analyzing the management / operation status of a medical institution using information on results of other medical institutions. In this system, each medical institution uploads performance information of the medical institution from a receipt computer to a WWW server on the Internet line. The WWW server compares the performance information of the medical institution with the performance information of another medical institution by performing data analysis using a benchmark method, and provides the comparison result to the medical institution as a report (see, for example, Patent Document 1). .

JP 2001-319041 A

  By the way, due to various external factors related to commercial facilities, there may be variations in the actual data of the commercial facilities. However, in the conventional system as described above, this external factor is not taken into consideration, and there is a case in which actual data is compared between commercial facilities with greatly different external factors. As a result, it becomes necessary to perform data analysis based on actual data with large variations, and there is a possibility that analysis data useful for judgment of management and operation of commercial facilities cannot be obtained.

  The present invention has been made in view of the above, and can classify commercial facilities in consideration of external factors of variation in data regarding commercial facilities, and enables analysis based on data with small variations. An object of the present invention is to provide a commercial facility data analyzer.

  In order to solve the above-described problems and achieve the object, a commercial facility data analysis apparatus according to claim 1 is a commercial facility data analysis apparatus for analyzing data related to a plurality of commercial facilities, Stores commercial facility data for each commercial facility, including environmental data regarding the environment of the commercial facility, resource data regarding the resource of the commercial facility, and geographic data regarding the geography of the commercial facility. Commercial facility data storage means, an environmental axis set corresponding to the environmental data, a resource axis set corresponding to the resource data, a geographical axis set corresponding to the geographical data, Facility location specifying means for positioning each of the plurality of commercial facilities in a three-dimensional space constituted by the facility location specifying means, The commercial facility data of each of the plurality of commercial facilities is acquired from the means, the position of the commercial facility corresponding to the environmental axis is specified based on the environmental data included in the acquired commercial facility data, and the acquisition is performed. The location of the commercial facility corresponding to the resource axis is specified based on the resource data included in the commercial facility data, and the geographic axis is supported based on the geographic data included in the acquired commercial facility data. Each of the plurality of commercial facilities is positioned in the three-dimensional space by specifying the position of the commercial facility.

  Further, the commercial facility data analysis apparatus according to claim 2 is the commercial facility data analysis apparatus according to claim 1, wherein the facility location specifying means sets the environment axis, the resource axis, and the geographic axis respectively. Dividing the three-dimensional space into a plurality of divided areas, and positioning each of the plurality of commercial facilities in any of the plurality of divided areas, thereby grouping the plurality of commercial facilities. Turn into.

  The commercial facility data analyzer according to claim 3 is the commercial facility data analyzer according to claim 1 or 2, wherein the commercial facility data stored in the commercial facility data storage means is the plurality of commercial facilities. The commercial facility data of the identified commercial facility is identified based on the commercial zone data stored in the commercial facility data storage means, including commercial zone data relating to each commercial zone of the facility, and the commercial facility belonging to the common commercial zone The same commercial area data acquisition means for acquiring from the commercial facility data storage means, the facility location specifying means in the three-dimensional space for the commercial facility data acquired by the same commercial area data acquisition means Each of the plurality of commercial facilities is positioned.

  Further, the commercial facility data analysis apparatus according to claim 4 is the commercial facility data analysis apparatus according to claim 3, wherein the commercial area data is a location position for specifying a location position of each of the plurality of commercial facilities. The same commercial area data acquisition means includes data, and identifies a commercial facility located within a predetermined area from a reference position based on the location data stored in the commercial facility data storage means. Is a commercial facility belonging to the common trade area.

  Further, the commercial facility data analyzing apparatus according to claim 5 is the commercial facility data analyzing apparatus according to claim 3, wherein the commercial area data is a movement for specifying a traveling time to each of the plurality of commercial facilities. The same trade area data acquisition means includes time data, specifies a commercial facility that can move within a predetermined time from a reference position based on the travel time data stored in the commercial facility data storage means, and The facility is a commercial facility belonging to the common trade area.

  Further, the commercial facility data analyzing apparatus according to claim 6 is the commercial facility data analyzing apparatus according to claim 3, wherein the commercial area data is used to specify an administrative area to which each of the plurality of commercial facilities belongs. The same business area data acquisition means includes administrative area data, and identifies the commercial facility belonging to the same administrative area based on the administrative area data stored in the commercial facility data storage means. Let commercial facilities be commercial facilities belonging to the common trade area.

  Further, the commercial facility data analysis apparatus according to claim 7 is the commercial facility data analysis apparatus according to any one of claims 1 to 6, wherein the commercial facility data stored in the commercial facility data storage means is The commercial facility data acquired within a predetermined time based on the acquisition time data stored in the commercial facility data storage means, including acquisition time data specifying the time at which the commercial facility data was acquired, The facility location specifying unit includes the same time data acquiring unit that acquires from the commercial facility data storage unit, and the facility location specifying unit targets the commercial facility data acquired by the same time data acquiring unit as a target in the three-dimensional space. Position each commercial facility.

  Further, the commercial facility data analysis apparatus according to claim 8 is the commercial facility data analysis apparatus according to any one of claims 1 to 7, wherein the facility position specifying means includes the environmental axis, the resource axis, And dividing the geographic axis by a predetermined number of divisions to divide the three-dimensional space into a plurality of divided areas, and positioning each of the plurality of commercial facilities in any of the plurality of divided areas, The plurality of commercial facilities are grouped, and for each combination of a plurality of data items corresponding to each of the environment axis, the resource axis, and the geographic axis, the one of the plurality of divided regions Each of the plurality of commercial facilities is positioned, and for each combination of the plurality of data items, out of the divided areas where the commercial facilities are located, the same as the divided area where the reference commercial facility is located The proportion of the split regions, and a match rate calculation means for calculating for each of the plurality of commercial facilities.

  The commercial facility data analyzer according to claim 9 is the commercial facility data analyzer according to any one of claims 1 to 8, wherein the commercial facility is a hospital.

  According to the commercial facility data analysis apparatus of claim 1, the facility location specifying unit acquires the commercial facility data of each of the plurality of commercial facilities from the commercial facility data storage unit, and is included in the acquired commercial facility data. The location of the commercial facility corresponding to the environmental axis is specified based on the environmental data, the location of the commercial facility corresponding to the resource axis is specified based on the resource data included in the acquired commercial facility data, and the acquired By identifying the location of the commercial facility corresponding to the geographic axis based on the geographic data included in the commercial facility data, each of the multiple commercial facilities is placed in a three-dimensional space composed of the environmental axis, the resource axis, and the geographic axis. Therefore, it is possible to classify the commercial facilities in consideration of the external factors of the dispersion of data regarding the commercial facilities. Therefore, by using data of commercial facilities belonging to the same classification, it is possible to perform analysis based on data with small variations.

  Further, according to the commercial facility data analysis apparatus according to claim 2, the facility location specifying means divides the three-dimensional space by dividing the environment axis, the resource axis, and the geographic axis by a predetermined number of divisions. By dividing each commercial facility into groups, and by positioning each of the commercial facilities in one of the segmented areas, the common characteristics of external factors of data variability regarding commercial facilities You can group commercial facilities with

  Further, according to the commercial facility data analyzing apparatus according to claim 3, the facility location specifying means targets the commercial facility data acquired by the same commercial area data acquiring means, and each of the plurality of commercial facilities in the three-dimensional space. Therefore, grouping can be performed only for commercial facilities belonging to a common trade area.

  According to the commercial facility data analyzing apparatus of claim 4, the same commercial area data acquiring means is configured to store the commercial located within a predetermined area from the reference position based on the location data stored in the commercial facility data storage means. Since the facility is specified and the specified commercial facility is set as a commercial facility belonging to a common commercial area, grouping can be performed only for commercial facilities belonging to a common area.

  According to the commercial facility data analysis apparatus of claim 5, the same commercial area data acquisition means can be operated within a predetermined time from the reference position based on the travel time data stored in the commercial facility data storage means. Since the facility is specified and the specified commercial facility is a commercial facility belonging to a common business area, grouping can be performed only for commercial facilities belonging to a common time area.

  Moreover, according to the commercial facility data analysis apparatus of claim 6, the same commercial area data acquisition means is based on the administrative area data stored in the commercial facility data storage means, and the commercial facilities belonging to the same administrative area Since the specified commercial facility is a commercial facility belonging to a common business area, grouping can be performed only for commercial facilities belonging to a common administrative area.

  Further, according to the commercial facility data analyzing apparatus according to claim 7, the facility location specifying means targets the commercial facility data acquired by the same time data acquiring means, and each of the plurality of commercial facilities in the three-dimensional space. Therefore, it is possible to classify the commercial facilities in consideration of “time” which is one of the factors of dispersion of data regarding the commercial facilities.

  According to the commercial facility data analysis apparatus of claim 8, the facility location specifying means includes a plurality of divided regions for each combination of a plurality of data items corresponding to the environment axis, the resource axis, and the geographic axis. Each of the plurality of commercial facilities is positioned in any of the above, and the coincidence rate calculating means matches the divided region where the reference commercial facility is located among the divided regions where the commercial facility is located for each combination of the plurality of data items. Since the ratio of the divided areas is calculated for each of the plurality of commercial facilities, it is possible to extract other commercial facility groups that are similar to the reference commercial facility using the calculated ratio, and the variation is small. Analysis based on data can be performed.

  According to the commercial facility data analysis apparatus of the ninth aspect, since the commercial facility is a hospital, it is possible to classify hospitals in consideration of external factors of variation in data regarding hospitals. Therefore, by using the data of hospitals belonging to the same category, it is possible to perform analysis based on data with small variations.

It is the block diagram which showed the electrical structure of the commercial facility data analysis device functionally conceptually. It is the table | surface which illustrated the information stored in commercial facility DB. It is a flowchart of a commercial facility data analysis process. It is the conceptual diagram which illustrated the relationship between the trade area specified based on the coordinate of a reference | standard position, and a predetermined area, and the location of a hospital. It is the conceptual diagram which illustrated the relationship between the trade area specified as the range within 15 minutes from the nearest station, and the travel time to each hospital. It is the conceptual diagram which illustrated the relationship between the trade area specified based on the municipality name, and the municipality to which each hospital belongs. It is the graph which illustrated the normal distribution curve of the environmental data corresponding to the small item "population (thousand people)" of commercial facility DB. It is the figure which illustrated the three-dimensional space divided | segmented into 27 division areas. It is the table | surface which illustrated the position table which stored position information and combination information. It is the figure which illustrated the case where the number of beds of each of a plurality of hospitals was superimposed and displayed at the position corresponding to each hospital on the map.

  Embodiments of a commercial facility data analysis apparatus according to the present invention will be described below in detail with reference to the accompanying drawings. However, the present invention is not limited to the embodiments.

  Note that the commercial facility data analysis apparatus according to the embodiment is for analyzing data regarding a plurality of commercial facilities, and can be used for analyzing data regarding commercial facilities such as hospitals and hotels. In the following embodiments, a case where a commercial facility data analyzer is used for analyzing data related to a hospital will be described as an example.

(Constitution)
Initially, the structure of the commercial facility data analyzer which concerns on this Embodiment is demonstrated. FIG. 1 is a block diagram functionally conceptually showing the electrical configuration of a commercial facility data analysis apparatus. As shown in FIG. 1, the commercial facility data analysis apparatus 1 includes an input unit 10, a display 11, a control unit 12, and a data recording unit 13.

(Configuration-input part)
The input unit 10 is an input unit that receives input of information necessary for various processes executed by the commercial facility data analysis apparatus 1. For example, a known input unit such as a keyboard or a mouse can be used.

(Configuration-Display)
The display 11 is a display means for displaying various information under the control of the control unit 12, and a known display such as a liquid crystal panel display can be used.

(Configuration-control unit)
The control unit 12 is a control unit that controls the commercial facility data analysis apparatus 1. Specifically, the CPU, various programs interpreted and executed on the CPU (basic control programs such as an OS, and startup on the OS) And an internal memory such as a RAM for storing programs and various types of data.

  The control unit 12 includes a facility position specifying unit 12a, an identical trade area data obtaining unit 12b, and an identical time data obtaining unit 12c in terms of functional concept. The facility position specifying unit 12a includes an environment axis set corresponding to the environment data, a resource axis set corresponding to the resource data, and a geographic axis set corresponding to the geographic data. This is facility location specifying means for positioning each of a plurality of hospitals in a three-dimensional space. The same business area data acquisition unit 12b is a same business area data acquisition unit that specifies hospitals belonging to a common business area and acquires commercial facility data of the specified hospitals from a commercial facility database described later. The same time data acquisition unit 12c is a same time data acquisition unit that acquires commercial facility data acquired within a predetermined time from a commercial facility database. Details of processing executed by each component of the control unit 12 will be described later.

(Configuration-Data recording part)
The data recording unit 13 is a recording unit that records a program and various data necessary for the operation of the commercial facility data analysis apparatus 1, and uses, for example, a magnetic recording medium such as a hard disk (not shown) as an external storage device. Configured. However, any other recording medium including a semiconductor storage medium such as a flash memory or an optical recording medium such as a DVD or a Blu-ray disk can be used instead of or together with the hard disk. The data recording unit 13 includes a commercial facility database 13a (hereinafter, the database is abbreviated as DB).

  The commercial facility DB 13a is a commercial facility data storage unit that stores commercial facility data regarding each of a plurality of hospitals. Here, “commercial facility data” includes environmental data related to the hospital environment, resource data related to the hospital resources, and geographical data related to the hospital geography. FIG. 2 is a table illustrating information stored in the commercial facility DB 13a. As shown in FIG. 2, information corresponding to the items “facility name”, “environment”, “resource”, “geography”, “trade area”, and “acquisition date” is stored in association with each other in the commercial facility DB 13a. Has been. The information stored corresponding to the item “facility name” is information for identifying the name of the hospital (“A hospital” in FIG. 2). The information stored corresponding to the item “environment” is environmental data related to the hospital environment. Specifically, among the various factors that vary hospital performance data, information that identifies demand factors (for example, population, number of patients, number of households, number of establishments, etc.) Are stored in correspondence with the small items shown (“population (thousands)”, “number of patients (thousands)”, etc. in FIG. 2) (“506 (population (thousands)” in FIG. 2). "etc). The information stored corresponding to the item “resource” is resource data related to hospital resources. Specifically, among various factors that vary hospital performance data, information specifying supply factors (for example, the number of hospitals, the number of beds, the number of medical devices, etc.) is a small indicator that indicates each factor of the supply surface. It is stored corresponding to the item (“number of hospitals”, “total number of beds”, etc. in FIG. 2) (“79”, etc., corresponding to “number of hospitals” in FIG. 2). The information stored corresponding to the item “geography” is geographic data related to the hospital geography. Specifically, among the various factors that vary hospital performance data, the information that identifies the factors that restrict the expansion of each hospital's trade area is a sub-item that indicates each factor (in FIG. ("Density distance index" etc.) (in FIG. 2, "87.7" etc. corresponding to "residence index").

  Here, the “commercial area” means, for example, the range of residence of each hospital visitor or a person who may become a visitor. In addition, the “residence margin index” is an index indicating the ratio of the area where the resident exists in the hospital trade area. For example, when the trade area is divided into meshes, It is calculated as the number of existing meshes / the total number of meshes in the trade area × 100. In this case, it is shown that the higher the residence allowance index, the fewer the residence hindering factors (sea, mountains, rivers, etc.). The “density distance index” is an index indicating the degree of population accumulation according to the distance from the hospital. For example, when the trade area is divided into meshes, “the population in the mesh / distance from the hospital to the mesh” for each mesh. The sum of "squared" is calculated as the density distance index. In this case, the higher the density distance index, the more the population is concentrated in the vicinity of the hospital. Furthermore, an accessibility index, an accumulation index, a traffic volume index, an altitude difference index, or the like may be used as geographic data. The “accessibility index” is an index indicating the accessibility to the hospital. For example, the accessibility index = (the area that can be reached within a predetermined time from the hospital) / (the maximum distance that can be reached within a predetermined time from the hospital) The area of the circle around the hospital as the radius) is calculated. In this case, the higher the accessibility index, the better the accessibility to the hospital. Further, the “accumulation degree index” is an index indicating the degree of accumulation of the population, the hospital, etc. according to the distance from the hospital. For example, the accumulation degree index = (population in the circle of radius L1 centered on the hospital or hospital Number) / (population and number of hospitals in a circle of radius L2 (> L1) centered on the hospital). In this case, the higher the accumulation index, the more the population and hospitals are accumulated in the vicinity of the hospital. Further, the “traffic volume index” is an index indicating the traffic volume in the hospital trade area. For example, for each road passing through the trade area, “the number of passing vehicles per predetermined time in the trade area × The sum of the “ratio of road area” is calculated as the traffic volume index. In this case, the higher the traffic volume index, the more active the traffic. The “elevation difference index” is an index indicating the degree of elevation difference in the trade area. For example, when the trade area is divided into meshes, the variance of the elevation values of each mesh in the trade area is calculated as the elevation difference index. In this case, the higher the elevation difference index, the greater the difference in elevation within the trade area.

  The information stored corresponding to the item “trade area” is the trade area data for each of the multiple hospitals, and the information corresponding to the sub-items “location”, “travel time”, and “administrative area” Stored in association with each other. The information stored corresponding to the sub-item “location” is location location data for specifying the location of each of a plurality of hospitals, and stores, for example, the coordinates of each hospital (“x1” in FIG. 2). , Y1 "). The information stored corresponding to the sub-item “travel time” is travel time data for specifying the travel time to each of a plurality of hospitals. For example, the reference position set for each hospital (for example, each hospital Information specifying the travel time from the nearest station to the hospital is stored (in FIG. 2, “12 minutes”, etc.). The information stored corresponding to the sub-item “administrative sphere” is administrative territory data for identifying the administrative territory to which each of a plurality of hospitals belongs. For example, the prefecture or city of the location of each hospital Information for specifying a municipality is stored (in FIG. 2, “D prefecture F city” or the like). The information stored corresponding to the item “acquisition date” is acquisition time data for specifying the time when the commercial facility data is acquired. For example, information for specifying the date when the commercial facility data for each hospital is acquired is stored. ("2010/12/13" etc. in FIG. 2).

  The information stored in the commercial facility DB 13a includes a predetermined commercial area of each hospital (for example, a circular commercial area having a predetermined radius centered on each hospital, a time commercial area in a range that can be reached within a predetermined time from each hospital, The information is acquired in advance for the inside of the same municipality as each hospital, the administrative trade area indicating the secondary medical area, and the like, and stored in the commercial facility DB 13a via the input unit 10 or a network (not shown).

(processing)
Next, a commercial facility data analysis process executed by the commercial facility data analysis apparatus 1 configured as described above will be described. FIG. 3 is a flowchart of the commercial facility data analysis process (in the following description of each process, step is abbreviated as “S”). This commercial facility data analysis process is started when, for example, an instruction to execute the commercial facility data analysis process is input via the input unit 10 after the commercial facility data apparatus is turned on.

  As shown in FIG. 3, when the commercial facility data analysis process is started, the control unit 12 acquires the time when the commercial facility data to be analyzed by the commercial facility data analyzer 1 is acquired, and the commercial facility to be analyzed. A screen for accepting designation of a common trade area to which the hospital corresponding to the data belongs is displayed on the display 11 (SA1). For example, the control unit 12 causes the display 11 to display a designation screen for designating the start date and the end date of the period in which the commercial facility data to be analyzed is acquired. In addition, the control unit 12 designates a designation screen for designating a hospital located within a predetermined area from the reference position as a hospital corresponding to the commercial facility data to be analyzed (for example, an input screen for the coordinates of the reference position and the predetermined area). Specifying a hospital that can move from the reference position within a predetermined time (for example, input screen for the type of the reference position (for example, nearest station) and the predetermined time), or a hospital belonging to the same administrative area A designation screen (for example, an input screen for a city name) is displayed on the display 11.

  Subsequently, the control unit 12 inputs the time when the commercial facility data to be analyzed by the commercial facility data analysis apparatus 1 is acquired and the common commercial area to which the hospital corresponding to the commercial facility data to be analyzed belongs to the input unit 10. Wait until it is specified via (SA2, No).

  When the time when the commercial facility data to be analyzed by the commercial facility data analysis apparatus 1 is acquired and the common commercial area to which the hospital corresponding to the commercial facility data to be analyzed belongs are designated via the input unit 10 (SA2, Yes), for example, the start date and end date of the period in which the commercial facility data to be analyzed is acquired are specified via the input unit 10, and the reference position for specifying the common commercial area When the coordinates and the predetermined area, the type of the reference position and the predetermined time, or the city name are designated via the input unit 10, the same time data acquisition unit 12c is based on the acquisition time data stored in the commercial facility DB 13a. Then, the commercial facility data acquired within the time specified via the input unit 10 is acquired from the commercial facility DB 13a (SA3). That is, the same time data acquisition unit 12c specifies the date when each commercial facility data was acquired based on the acquisition time data stored corresponding to the item “acquisition date” in the commercial facility DB 13a, and the specified acquisition date. Is included between the start date and the end date specified via the input unit 10, the commercial facility data is acquired from the commercial facility DB 13a.

  Subsequently, the same trade area data acquisition unit 12b specifies hospitals belonging to the common trade area based on the business area data included in the commercial facility data acquired by the same time data acquisition unit 12c in SA3 (SA4).

  For example, when the coordinates of the reference position and the predetermined area for specifying the common trade area to which the hospital corresponding to the commercial facility data to be analyzed belong are specified in SA2, the same trade area data acquisition unit 12b is the same in SA3. Based on the location data corresponding to the small item “location” in the commercial facility data acquired by the time data acquisition unit 12c, the location of the hospital is specified, and the coordinates of the reference location specified in SA2 and the predetermined area A hospital located within the range (that is, a predetermined area from the reference position) of the trade area (hereinafter referred to as “area area” as necessary) specified based on the above is specified. FIG. 4 is a conceptual diagram illustrating the relationship between the trade area specified based on the coordinates of the reference position and the predetermined area and the location of the hospital. In the example of FIG. 4, the hospital A located at the coordinates (x1, y1) and the hospital C located at the coordinates (x3, y3) are located within a predetermined area from the reference position, but the coordinates (x2 , Y2) is not located within a predetermined area from the reference position. Therefore, the same trade area data acquisition unit 12b specifies the hospital A and the hospital C as hospitals belonging to the common area area specified based on the coordinates of the reference position designated by SA2 and the predetermined area.

  Returning to FIG. 3, when the type of the reference position for specifying the common trade area to which the hospital corresponding to the commercial facility data to be analyzed belongs and the predetermined time are designated by SA2, the same trade area data acquisition unit 12b Based on the travel time data corresponding to the small item “travel time” in the commercial facility data acquired by the same time data acquisition unit 12c in SA3, the travel time from the reference position (for example, the nearest station of the hospital) to the hospital is specified. Identifies a hospital that can move within a range (for example, a predetermined time from the nearest station) of a commercial area (hereinafter referred to as “time area” as necessary) specified based on the type of reference position specified in SA2 and a predetermined time. . FIG. 5 is a conceptual diagram illustrating the relationship between the trade area identified as a range within 15 minutes from the nearest station and the travel time to each hospital. In the example of FIG. 5, the hospital A and the hospital B can move within 15 minutes from the nearest station, but the travel time from the nearest station to the hospital C is longer than 15 minutes. Therefore, the same trade area data acquisition unit 12b specifies hospital A and hospital B as hospitals belonging to a common time zone specified based on the type of the reference position specified in SA2 and the predetermined time.

  Returning to FIG. 3, when the municipality name for specifying the common commercial area to which the hospital corresponding to the commercial facility data to be analyzed belongs is specified in SA2, the same commercial area data acquisition unit 12b performs the same time in SA3. Based on the administrative area data corresponding to the small item “administrative area” in the commercial facility data acquired by the data acquisition unit 12c, the administrative area to which the hospital belongs is specified, and the name of the municipality specified in SA2 A hospital belonging to a trade area identified based on the following (hereinafter referred to as “administrative area” if necessary) is identified. FIG. 6 is a conceptual diagram illustrating the relationship between the trade area specified based on the city name and the municipality to which each hospital belongs. In the example of FIG. 6, hospital A belongs to “D prefecture F city”, and hospital B and hospital C belong to “E prefecture G city”. Therefore, for example, when “E prefecture G city” is designated in SA2, the same trade area data acquisition unit 12b determines the hospital B as a hospital belonging to the common administrative area identified as the designated “E prefecture G city”. And hospital C is identified.

  Returning to FIG. 3, after the process of SA4, the facility position specifying unit 12a selects a combination of data items corresponding to each of the three axes constituting the three-dimensional space to which the hospital specified in SA4 is positioned (SA5). ). That is, the facility location specifying unit 12a selects a combination of data items corresponding to the environment axis, the resource axis, and the geographic axis that constitute the three-dimensional space. For example, the facility location specifying unit 12a may select one of the sub-items (“population (thousands)”, “number of patients (thousands)”, etc. in FIG. 2) subordinate to the item “environment” of the commercial facility DB 13a in FIG. The data item corresponding to is selected as the environment axis. Further, the facility location specifying unit 12a selects a data item corresponding to any of the sub-items (“number of hospitals”, “total bed”, etc. in FIG. 2) subordinate to the item “resource” of the commercial facility DB 13a of FIG. Select as a resource axis. Further, the facility location specifying unit 12a has data corresponding to any one of the subordinate items (such as “residence index” and “density distance index” in FIG. 2) subordinate to the item “geography” in the commercial facility DB 13a of FIG. Select the item as the geographic axis.

Returning to FIG. 3, after the process of SA5, the facility location specifying unit 12a divides the three-dimensional space into a plurality of divided regions by dividing the environment axis, the resource axis, and the geographic axis by a predetermined number of divisions. (SA6). The number of divisions and division criteria for each axis can be arbitrarily set. Here, it is assumed that the environmental data, resource data, and geographic data follow a normal distribution. In this case, the facility location specifying unit 12a, based on the commercial facility data of each hospital specified in SA4, environmental data corresponding to the environmental axis selected in SA5, resource data corresponding to the resource axis, and geography corresponding to the geographical axis. For each piece of data, a minimum value, maximum value, mode value μ, and variance σ ² are specified. Then, the environmental axis, the resource axis, and the geographic axis are divided into the area from the minimum value of the commercial facility data corresponding to each axis to (μ−σ), the area from (μ−σ) to (μ + σ), respectively. , And (μ + σ) to the maximum value. As a result, the three-dimensional space composed of the environment axis, the resource axis, and the geographic axis is divided into 3 × 3 × 3 = 27 divided regions.

FIG. 7 shows the normality of the environmental data corresponding to the small item “population (thousands)” when the small item “population (thousands)” of the commercial facility DB 13a is selected as the data item corresponding to the environmental axis in SA5. It is the graph which illustrated the distribution curve. In the example of FIG. 7, the facility position specifying unit 12a has the minimum value, the maximum value, the mode value μ, and the variance σ of the environmental data corresponding to the small item “population (thousand people)” of each hospital specified in SA4. ² is specified. Then, the environmental axis is divided into a region from the minimum value of environmental data corresponding to the small item “population (thousand people)” to (μ−σ), a region from (μ−σ) to (μ + σ), and (μ + σ). Is divided into three areas, from 1 to the maximum value.

  Returning to FIG. 3, after the process of SA6, the facility location specifying unit 12a groups each hospital by positioning each of the plurality of hospitals in any of the plurality of divided areas divided by SA6 (SA7). . That is, the facility position specifying unit 12a specifies the position of the hospital corresponding to the environmental axis based on the environmental data included in the commercial facility data of each hospital specified in SA4, and based on the resource data included in the commercial facility data. By identifying the location of the hospital corresponding to the resource axis and identifying the location of the hospital corresponding to the geographic axis based on the geographic data included in the commercial facility data, any of a plurality of divided regions in the three-dimensional space Each of the multiple hospitals is positioned and the multiple hospitals are grouped.

  FIG. 8 is a diagram illustrating a three-dimensional space divided into 27 divided regions. For example, the position of the hospital A corresponding to the environmental axis specified by the facility position specifying unit 12a based on the environmental data included in the commercial facility data of the hospital A is the maximum from (μ + σ) of the environmental data corresponding to the environmental axis. The location of the hospital A corresponding to the resource axis within the area up to the value (area corresponding to “3” of the environmental axis in FIG. 8) and identified based on the resource data is the resource data corresponding to the resource axis. Of hospital A corresponding to the geographic axis specified in the geographic data and within the region from the minimum value to (μ−σ) (region corresponding to “1” of the resource axis in FIG. 8) Is within the region from (μ + σ) to the maximum value of the geographic data corresponding to the geographic axis (the region corresponding to “3” of the geographic axis in FIG. 8), the facility position specifying unit 12a Hospital A is positioned in the divided area indicated by the diagonal lines. The facility position specifying unit 12a similarly positions other hospitals, thereby grouping a plurality of hospitals for each divided region.

  Returning to FIG. 3, after the processing of SA7, the facility position specifying unit 12a combines a combination of position information specifying the divided area where each hospital is located and data items corresponding to each of the three axes constituting the three-dimensional space. The specified combination information is associated and recorded in the data recording unit 13 (SA8).

  Subsequently, the facility position specifying unit 12a determines whether the processing from SA6 to SA8 has been executed for all combinations of data items corresponding to each of the three axes constituting the three-dimensional space (SA9). As a result, when the processing from SA6 to SA8 is not executed for all combinations of data items (SA9, No), the facility position specifying unit 12a returns to SA5, and the data that has not yet executed the processing from SA6 to SA8. A combination of items is selected (SA5). Thereafter, the processing from SA5 to SA9 is repeated until the processing from SA6 to SA8 is executed for all combinations of data items corresponding to the three axes constituting the three-dimensional space.

  On the other hand, when the process from SA6 to SA8 is executed for all combinations of data items corresponding to each of the three axes constituting the three-dimensional space (SA9, Yes), the control unit 12 ends the commercial facility data analysis process. .

  FIG. 9 is a table illustrating a position table that stores position information and combination information. As shown in FIG. 9, the position table stores information corresponding to the items “facility name” and “data item combination”. In addition, position information for specifying a divided area where each hospital is located is stored in association with information corresponding to the item “facility name” and information corresponding to the item “data item combination”. Further, information corresponding to the items “number of matching hospitals” and “matching rate” is stored in the position table of FIG. 9, which will be described later.

  The information stored corresponding to the item “facility name” is information for identifying the name of the hospital (“A hospital” in FIG. 9). The information stored in association with the item “data item combination” is combination information for specifying a combination of data items corresponding to each of the three axes constituting the three-dimensional space (in FIG. 9, “population, number of hospitals, Living space index "etc.). In association with the names of these hospitals and the combination information, position information for specifying the divided areas where the hospitals are located is stored (in FIG. 9, the combination of data items for “Hospital A” is “population, hospital In the case of “number, occupancy index”, the position is “313”). In FIG. 9, the position information is represented by a three-digit number. The leftmost digit of this three-digit number indicates the position of the hospital corresponding to the environmental axis, the middle digit indicates the position of the hospital corresponding to the resource axis, and the rightmost digit indicates the position of the hospital corresponding to the geographic axis. Is shown. Further, “1” is a region from the minimum value of the commercial facility data corresponding to each axis to (μ−σ), “2” is a region from (μ−σ) to (μ + σ), and “3” is (μ + σ). ) To the maximum value.

  Further, the information stored corresponding to the item “number of matched hospitals” in the position table of FIG. 9 is information that specifies the number of hospitals located in the same divided area as the reference hospital for each combination of data items. Yes (in FIG. 9, when “A hospital” is used as a reference and the combination of data items is “population, number of hospitals, index of residence”), it is located in the same divided area as the position “313” of “A hospital” The number of hospitals is “35”).

  Further, the information stored corresponding to the item “match rate” in the position table of FIG. 9 matches the divided area where the reference hospital is located among the divided areas where the hospital is located for each combination of data items. This is information for specifying the ratio of the divided areas for each hospital (in FIG. 9, among the divided areas where “B hospital” is located for each combination of data items, the divided area where “A hospital” serving as a reference is located) The ratio of the matching divided areas is “92%”). The information stored corresponding to this item “match rate” is calculated by, for example, the match rate calculation means (not shown) provided in the control unit 12 and stored in the position table. Based on the information stored corresponding to this item “match rate”, it is possible to extract other hospital groups whose external factors causing variations in hospital performance data are similar to the reference hospital. It is possible to perform analysis based on data with small variations by analyzing the extracted performance data of the hospital group. For example, when it is determined in SA9 of FIG. 3 that the processing from SA6 to SA8 has been executed for all combinations of data items corresponding to each of the three axes constituting the three-dimensional space (SA9, Yes), the control unit 12 However, the position table of FIG. 9 may be displayed on the display 11.

(effect)
As described above, according to the embodiment, the facility location specifying unit 12a acquires the commercial facility data of each of the plurality of hospitals from the commercial facility DB 13a, and based on the environmental data included in the acquired commercial facility data, The location of the hospital corresponding to the resource axis, the location of the hospital corresponding to the resource axis based on the resource data included in the acquired commercial facility data, and the geographic data included in the acquired commercial facility data By identifying the location of the hospital corresponding to the geographic axis based on each of the plurality of hospitals in the three-dimensional space constituted by the environmental axis, the resource axis, and the geographic axis, the external variation in hospital-related data Hospitals can be classified considering factors. Therefore, by using the data of hospitals belonging to the same category, it is possible to perform analysis based on data with small variations.

  In addition, the facility position specifying unit 12a divides the three-dimensional space into a plurality of divided areas by dividing the environment axis, the resource axis, and the geographic axis by a predetermined number of divisions, and any one of the plurality of divided areas. Since the plurality of hospitals are grouped by positioning each of the plurality of hospitals, it is possible to group the hospitals having common characteristics with respect to external factors of the variation in data regarding the hospitals.

  Moreover, since the facility location specifying unit 12a positions each of a plurality of hospitals in the three-dimensional space for the commercial facility data acquired by the same business area data acquisition unit 12b, the facility position specifying unit 12a is limited to hospitals belonging to a common business area. Grouping can be performed.

  In addition, the same trade area data acquisition unit 12b identifies a hospital located within a predetermined area from the reference position based on the location data stored in the commercial facility DB 13a, and identifies the identified hospital as a hospital belonging to a common trade area. Therefore, grouping can be performed only for hospitals belonging to a common area.

  Further, the same trade area data acquisition unit 12b identifies a hospital that can move within a predetermined time from the reference position based on the travel time data stored in the commercial facility DB 13a, and designates the identified hospital as a hospital belonging to a common trade area. Therefore, grouping can be performed only for hospitals belonging to a common time zone.

  The same trade area data acquisition unit 12b identifies a hospital belonging to the same administrative area based on the administrative area data stored in the commercial facility DB 13a, and identifies the identified hospital as a hospital belonging to a common commercial area. Therefore, grouping can be performed only for hospitals belonging to a common administrative area.

  In addition, since the facility position specifying unit 12a positions each of the plurality of hospitals in the three-dimensional space for the commercial facility data acquired by the same time data acquisition unit 12c, one of the causes of the variation in the data regarding the hospitals. It is possible to classify hospitals in consideration of “time”.

[Modifications to Embodiment]
Although the embodiments of the present invention have been described above, the specific configuration and means of the present invention can be arbitrarily modified and improved within the scope of the technical idea of each invention described in the claims. Can do. Hereinafter, such a modification will be described.

(About problems to be solved and effects of the invention)
First, the problems to be solved by the invention and the effects of the invention are not limited to the above-described contents, and the present invention solves the problems not described above or has the effects not described above. There are also cases where only some of the described problems are solved or only some of the described effects are achieved.

(About distribution and integration)
Further, each of the electrical components described above is functionally conceptual and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each part is not limited to the one shown in the figure, and all or a part thereof may be functionally or physically distributed / integrated in arbitrary units according to various loads and usage conditions. Can be configured. For example, by providing a part of the function of the commercial facility data analysis apparatus 1 to another device and connecting the other device and the commercial facility data analysis device 1 via a network, the other device can be connected. And a commercial facility data analysis apparatus 1 can be constructed.

(About commercial facility data analysis processing)
In the above embodiment, in SA3 of FIG. 3, the same time data acquisition unit 12c acquires the commercial facility data acquired within the time specified via the input unit 10 from the commercial facility DB 13a. In SA4, SA3 In the above description, the hospital belonging to the common trade area is specified based on the trade area data included in the commercial facility data acquired by the same time data acquisition unit 12c. However, either SA3 or SA4, or both processes are omitted. Also good. That is, for example, the processing of SA3 is omitted, and regardless of the time when the commercial facility data is acquired, the common commercial area is obtained in SA4 based on the commercial area data included in all the commercial facility data stored in the commercial facility DB 13a. You may make it identify the hospital to which it belongs. Further, the processing in SA4 may be omitted and the processing after SA5 may be executed on all the commercial facility data acquired by the same time data acquisition unit 12c in SA3 regardless of the trade area to which each hospital belongs. Alternatively, the processes of SA3 and SA4 may be omitted, and the processes after SA5 may be executed on all the commercial facility data stored in the commercial facility DB 13a.

  Further, in the above embodiment, in SA6 of FIG. 3, the facility location specifying unit 12a divides each of the environmental axis, the resource axis, and the geographic axis into three areas, thereby dividing the three-dimensional space into 27 divided areas. Although the case of dividing has been described as an example, each axis and the three-dimensional space may be divided into a different number.

  Further, in the above embodiment, the facility location specifying unit 12a sets each axis of the environmental axis, the resource axis, and the geographic axis from the minimum value of the commercial facility data corresponding to each axis to (μ−σ). , (Μ−σ) to (μ + σ) region, and (μ + σ) to the maximum value region has been described as being divided into three regions, but each axis may be divided at a position different from this. . For example, the range from the minimum value to the maximum value may be equally divided into three.

  In the above embodiment, the case where information corresponding to the items “number of matched hospitals” and “matching rate” is stored in the position table of FIG. 9 is described as an example. Information indicating the index may be stored in the position table. For example, a pattern of a set of combinations of data items corresponding to each of the three axes constituting the three-dimensional space and a hospital position corresponding to the combination (for example, a combination of data items for “A hospital” in FIG. 9) A set of “population, number of hospitals, room of residence index” and corresponding hospital position “313”, combination of data items “population, number of hospitals, density distance index” and corresponding hospital position May be classified according to the name of each hospital, and stored in the position table in association with the name of each hospital.

  Moreover, the control part 12 acquires the commercial facility data regarding each of a some hospital via the input part 10 or a network (illustration omitted) for every predetermined period (for example, every year), and stores it in commercial facility DB13a. It is good to do. In this case, the control unit calculates the amount of change in each commercial facility data for each predetermined period for each hospital, stores the calculation result in the commercial facility DB 13a, and stores the commercial facility based on the commercial facility data acquired at that time. By executing the data analysis process, the position of each hospital in the three-dimensional space is specified, and the specified position is stored in the commercial facility DB 13a. Based on the change amount of the commercial facility data for each predetermined period stored in the commercial facility DB 13a and the position of each hospital in the three-dimensional space for each predetermined period, the control unit 12 determines the change amount of the commercial facility data. The transition pattern of the position in the three-dimensional space of each corresponding hospital is specified. Thereby, when the change of commercial facility data about a hospital arises, it becomes possible to estimate how the position of the hospital in the three-dimensional space changes corresponding to the change of the commercial facility data. In addition, it is possible to identify commercial facility data that most influences the transition pattern of the hospital position in the three-dimensional space.

  Moreover, while displaying the map which shows the position of a some hospital on the display 11, you may make it superimpose and display the commercial facility data regarding each of the said some hospital in the position corresponding to each hospital on a map. FIG. 10 is a diagram exemplifying a case where the number of beds of each of a plurality of hospitals is superimposed and displayed at a position corresponding to each hospital on the map. 10, symbols corresponding to the number of beds (in the example of FIG. 10, black circles correspond to 100 beds and white circles correspond to 10 beds) are superimposed and displayed at positions corresponding to hospitals. Thereby, the commercial facility data regarding each of a plurality of hospitals can be displayed on the display 11 in a manner that can be easily grasped at a glance.

DESCRIPTION OF SYMBOLS 1 Commercial facility data analyzer 10 Input part 11 Display 12 Control part 12a Facility position specific | specification part 12b Same trade area data acquisition part 12c Same time data acquisition part 13 Data recording part 13a Commercial facility DB

Claims (9)

A commercial facility data analyzer for analyzing data on a plurality of commercial facilities,
Commercial facility data regarding each of the plurality of commercial facilities, including environmental data regarding the environment of the commercial facility, resource data regarding the resource of the commercial facility, and geographical data regarding the geography of the commercial facility Commercial facility data storage means for storing data;
In a three-dimensional space constituted by an environmental axis set corresponding to the environmental data, a resource axis set corresponding to the resource data, and a geographical axis set corresponding to the geographic data And facility location specifying means for positioning each of the plurality of commercial facilities,
The facility location specifying unit acquires the commercial facility data of each of the plurality of commercial facilities from the commercial facility data storage unit, and corresponds to the environmental axis based on the environmental data included in the acquired commercial facility data The position of the commercial facility is specified, the position of the commercial facility corresponding to the resource axis is specified based on the resource data included in the acquired commercial facility data, and is included in the acquired commercial facility data Locating each of the plurality of commercial facilities in the three-dimensional space by locating the commercial facility corresponding to the geographic axis based on the geographic data
Commercial facility data analyzer. The facility location specifying unit divides the three-dimensional space into a plurality of divided areas by dividing the environment axis, the resource axis, and the geographic axis by a predetermined number of divisions, respectively. Grouping the plurality of commercial establishments by positioning each of the plurality of commercial establishments in any one of
The commercial facility data analysis apparatus according to claim 1. The commercial facility data stored in the commercial facility data storage means includes trade area data relating to each trade area of the plurality of commercial facilities,
Based on the commercial area data stored in the commercial facility data storage means, a commercial facility belonging to a common commercial area is specified, and the commercial facility data of the specified commercial facility is acquired from the commercial facility data storage means. With the same trade area data acquisition means,
The facility location specifying unit positions each of the plurality of commercial facilities in the three-dimensional space for the commercial facility data acquired by the same trade area data acquiring unit.
The commercial facility data analysis apparatus according to claim 1 or 2. The trade area data includes location data for specifying the location of each of the plurality of commercial facilities,
The same trade area data acquisition unit identifies a commercial facility located within a predetermined area from a reference position based on the location data stored in the commercial facility data storage unit, and identifies the identified commercial facility as the common commercial area data. A commercial facility belonging to
The commercial facility data analysis apparatus according to claim 3. The trade area data includes travel time data for specifying a travel time to each of the plurality of commercial facilities,
The same trade area data acquisition unit identifies a commercial facility that can move within a predetermined time from a reference position based on the travel time data stored in the commercial facility data storage unit, and identifies the identified commercial facility as the common commercial area data. A commercial facility belonging to
The commercial facility data analysis apparatus according to claim 3. The trade area data includes administrative area data for specifying an administrative area to which each of the plurality of commercial facilities belongs,
The same commercial area data acquisition means identifies a commercial facility belonging to the same administrative area based on the administrative area data stored in the commercial facility data storage means, and identifies the specified commercial facility as the common commercial area. A commercial facility belonging to the trade area,
The commercial facility data analysis apparatus according to claim 3. The commercial facility data stored in the commercial facility data storage means includes acquisition time data for specifying a time when the commercial facility data is acquired,
Based on the acquisition time data stored in the commercial facility data storage means, the same time data acquisition means for acquiring the commercial facility data acquired within a predetermined time from the commercial facility data storage means,
The facility location specifying unit positions each of the plurality of commercial facilities in the three-dimensional space for the commercial facility data acquired by the same time data acquisition unit;
The commercial facility data analyzer according to any one of claims 1 to 6. The facility location specifying unit divides the three-dimensional space into a plurality of divided areas by dividing the environment axis, the resource axis, and the geographic axis by a predetermined number of divisions, respectively. A plurality of data items corresponding to each of the environmental axis, the resource axis, and the geographic axis, wherein the plurality of commercial facilities are grouped by positioning each of the plurality of commercial facilities. For each combination of the above, each of the plurality of commercial facilities is positioned in one of the plurality of divided areas,
For each combination of the plurality of data items, the ratio of the divided area that matches the divided area where the commercial facility serving as a reference is located is calculated for each of the plurality of commercial facilities. With a match rate calculation means,
The commercial facility data analyzer according to any one of claims 1 to 7. The commercial facility is a hospital;
The commercial facility data analyzer according to any one of claims 1 to 8.

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