Evaluation method, processing device, and program

Abstract

To provide a method of appropriately evaluating the quality of life and the like in a certain area.SOLUTION: An evaluation method disclosed herein comprises processing for acquiring an objective evaluation of an area covering a living area, processing for acquiring a subjective evaluation of the area, and comprehensive evaluation processing for acquiring a comprehensive evaluation of the area based on the objective evaluation and the subjective evaluation.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to an evaluation method, a processing device, and a program. [Background technology]

[0002] As prior art, there are known techniques for evaluating the quality of life and the like (for example, see Non-Patent Document 1). [Prior art documents] [Non-patent literature]

[0003] [Non-Patent Document 1] Cabinet Office, Survey on Satisfaction and Quality of Life, [online], Internet<URL: https: / / www5.cao.go.jp / keizai2 / wellbeing / manzoku / index.html> (Retrieved July 6, 2023) Summary of the Invention [Problem to be solved by the invention]

[0004] Traditionally, it is difficult to say that evaluations of the quality of life in a given area have been carried out appropriately. [Means for solving the problem]

[0005] In consideration of the above problems, one aspect of the present invention provides an evaluation method including a process for obtaining an objective evaluation of an area covering a living zone, a process for obtaining a subjective evaluation of the area, and a comprehensive evaluation process for obtaining a comprehensive evaluation of the area based on the objective evaluation and the subjective evaluation.

[0006] In addition, as one aspect, the present invention provides an apparatus or a program for executing the above-mentioned evaluation method. Effect of the Invention

[0007] According to the present invention, the quality of life in a certain area can be appropriately evaluated. [Brief description of the drawings]

[0008] [Figure 1] 1 is a flowchart of an evaluation method according to an embodiment. [Diagram 2] 13 is a flowchart showing a WB index setting process. [Diagram 3] FIG. 13 is a diagram showing a part of a questionnaire used in the examples. [Figure 4] FIG. 1 is a diagram showing WB indices obtained in an example. [Diagram 5] FIG. 1 shows personas obtained in the examples. [Figure 6] 13 is a flowchart showing a process of setting an area characteristic index and deriving an evaluation value. [Figure 7] FIG. 1 is a diagram showing objective items set in an embodiment and data on which objective item evaluation values ​​are based. [Figure 8] FIG. 13 is a diagram showing a part of a questionnaire used in the examples. [Figure 9] This is a calculation formula for the area characteristic index evaluation value and the area characteristic index evaluation value by persona. [Figure 10] 13 is a graph showing area characteristic index evaluation values ​​obtained in the example. [Figure 11] 13 is a graph of area characteristic index evaluation values ​​by persona obtained in the embodiment. [Figure 12] 13 is a flowchart showing an evaluation process of an area WB index. [Figure 13] FIG. 13 is a diagram showing a part of a questionnaire used in the examples. [Figure 14] FIG. 13 is a diagram showing a part of a questionnaire used in the examples. [Figure 15] This is the calculation formula for the area WB index evaluation value and the area WB index evaluation value by persona. [Figure 16] 13 is a graph showing area WB index evaluation values ​​obtained in an example. [Figure 17]13 is a graph of area WB index evaluation values ​​by persona obtained in the embodiment. [Figure 18] FIG. 13 is a conceptual diagram of an area WB index. [Figure 19] FIG. 1 is a block diagram of a computer system according to an embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] The evaluation method according to the embodiment of the present invention will be described below with reference to the drawings. As shown in the flow chart of Fig. 1, the evaluation method according to the embodiment is carried out according to three steps: setting a well-being (WB) index (S1), setting an area characteristic index and deriving an evaluation value (S2), and evaluating the area WB index (S3). The detailed process of these steps will be described below based on an example in which the steps were actually performed.

[0010] [Setting WB index] The setting of the WB index (S1) will be described below with reference to the flow of FIG.

[0011] In step S11, a positive experience extraction questionnaire is conducted to obtain people's awareness of their lives. In this questionnaire, a plurality of respondents are given the question, "Please tell us about a positive experience in your life." It is understood that well-being means a positive experience.

[0012] Furthermore, the responses obtained from this questionnaire are analyzed to extract multiple positive experiences. In the example conducted, 71 positive experiences were extracted from the analysis of the responses.

[0013] In the next step S12, a questionnaire is conducted to request an evaluation of the positive experiences. An example of the questionnaire is shown in Fig. 3. As shown in the figure, the questionnaire asks the respondent to evaluate the multiple items (71 items in this embodiment) of positive experiences extracted in step S11 on a five-point scale from 1 to 5.

[0014] Next, a factor analysis is performed on the questionnaire obtained in step S12 (S13). The evaluation values ​​of the responses obtained in step S12 are standardized, that is, the average of the evaluation values ​​is set to 0 (zero) and the variance is set to 1, and then the factor analysis is performed. WB indexes are extracted based on the results of the factor analysis.

[0015] In the embodiment, as shown in FIG. 4, 71 items were classified into 20 factors by factor analysis, and these 20 factors were set as WB indices.

[0016] In step S14, a cluster analysis is performed to classify the survey respondents. Specifically, the results of the factor analysis are used to convert the evaluation values ​​corresponding to the WB indexes into standardized values. As a result of the cluster analysis using the standardized values, the survey respondents are classified into several clusters. Hereinafter, the clusters classified in this step are also referred to as personas.

[0017] In the embodiment, as shown in Fig. 5, five clusters, namely, personas 1-5, were obtained as a result of the cluster analysis. In Fig. 5, three WB indicators that each persona gave a high rating to are displayed. In addition, as words that clearly indicate the factors or values ​​that personas 1-5 value, as revealed by this analysis, "improvement" is assigned to persona 1, "family" to persona 2, "friends" to persona 3, "inner self" to persona 4, and "pleasure" to persona 5.

[0018] [Setting area characteristic indicators and deriving evaluation values] The setting of area characteristic indexes and the derivation of evaluation values ​​(S2) will be described below with reference to the flow in FIG.

[0019] As a first process, objective items are set (S21). In the embodiment, the objective items are set by carrying out an objective item evaluation questionnaire.

[0020] The objective items are composed of items that can objectively evaluate the range of a living area (hereinafter also referred to as an area). For example, as shown in Fig. 7, the objective items are composed of items that can concretely indicate the characteristics of an area with numerical values, such as population and the ratio of green spaces. In the embodiment, 67 items were set as the objective items.

[0021] Next, an objective evaluation value (objective evaluation value) for the objective item is obtained (S22). As shown in the right column of Fig. 7, for example, if the objective item is the number of stores in an area, the number of stores is counted and obtained as the objective evaluation value.

[0022] In this example, 20 stations were selected, and the area within a 1.6 km radius of each station was set as the evaluation area, and the objective evaluation value for each area was obtained. The acquisition method used included spatial calculation and aggregation using GIS, and manual aggregation based on statistics, etc.

[0023] Meanwhile, subjective evaluation values ​​(subjective evaluation values) for the objective items are obtained (S23). In this process, a questionnaire is administered to multiple respondents, and each respondent is asked to evaluate the importance of the objective items to himself / herself as a numerical value. In the embodiment, the respondent was asked to evaluate the importance of each of the 67 objective items using a numerical value from 1 to 5 (FIG. 8).

[0024] Next, conversion to an area characteristic index is performed (S24). Here, the objective evaluation value and the subjective evaluation value obtained in steps S22 and S23 are comprehensively analyzed to obtain an index representing the area characteristics (area characteristic index), and an evaluation value for the area characteristic index is obtained.

[0025] A specific description will be given using an example. In the example, 67 objective items were subjected to factor analysis based on the subjective evaluation values ​​obtained in step S23, and 20 factors were obtained together with their factor loadings. These 20 factors were set as area characteristic indexes.

[0026] In addition, the objective evaluation values ​​were standardized across the 20 areas. Furthermore, the factor loadings obtained from the factor analysis of the subjective evaluation values ​​were used to calculate the evaluation values ​​for the area characteristic indexes by summing up the standardized objective evaluation values ​​for each area characteristic index. The formula for the summation is shown in equation (1) in Figure 9.

[0027] In this way, by multiplying the standardized objective evaluation values ​​by the factor loadings and adding them up for each area characteristic index, we can obtain an evaluation that reflects people's perceptions of the importance of each item, rather than an evaluation that is simply derived from statistics.

[0028] The resulting evaluation values ​​of the area characteristic indexes are shown in Figure 10. In this figure, the evaluation values ​​of the area characteristic indexes are converted into deviation values ​​between the 20 areas and displayed as a radar chart. In addition, this figure shows four areas selected from the 20 areas.

[0029] In step S25, an area characteristic index evaluation value for each persona is calculated based on the area characteristic index evaluation value obtained in step S24. The area characteristic index evaluation value for each persona is obtained by applying a bias for each persona to the area characteristic index evaluation value. By performing such a calculation, an evaluation value that reflects the importance of each item as considered by each persona is obtained.

[0030] In this embodiment, the subjective evaluation scores for each of the 67 items obtained in step S23 were averaged for each persona. Next, the 67 items were ranked in descending order of the average subjective evaluation scores. In other words, the item with the highest average subjective evaluation score was ranked 1st, and the 67 items were arranged in descending order of average scores, with the item with the lowest average score being ranked 67th.

[0031] We then awarded points to each item based on its ranking: 67 points for the first place item, 66 points for the second place item, ..., 1 point for the 67th place item.

[0032] Furthermore, for each item, the standardized objective evaluation value was multiplied by the points and factor loadings, and then summed for each area characteristic index (Figure 9, Equation (2)).

[0033] The area characteristic index evaluation values ​​for each persona obtained in this way are shown in Figure 11. In this figure, the evaluation values ​​are converted into deviation values ​​between the 20 areas and displayed in a radar chart. In addition, this figure shows six areas extracted from the 20 areas.

[0034] [Area WB Index Evaluation] The evaluation of the area WB index (S3) will be described below with reference to the flow of FIG.

[0035] In step S31, an area characteristic WB correlation questionnaire is administered to multiple respondents. In this questionnaire, as shown in the embodiment of FIG. 13, respondents are asked to answer the degree to which the area characteristic index contributes to their own life on a 5-point scale from 1 to 5. In FIG. 13, an item "21. Adequacy of smoking separation facilities" is added to the area characteristic index obtained in S24, making it a question of 21 items.

[0036] In addition, in step S31, a questionnaire is also conducted to ask which WB index corresponds to which area characteristic index. In this questionnaire, as shown in Fig. 14 as an example, participants are asked to check the WB index (upper side of the figure) that they think is related to each area characteristic index (left side of the figure).

[0037] In step S32, the relationship between the WB index and the area characteristic index is analyzed. Specifically, the questionnaire conducted in step S31 is analyzed, and the area characteristic indexes having a significant relationship with each WB index and the degree of the relationship are calculated.

[0038] In the embodiment, for each combination of WB index and area characteristic index in the questionnaire in Figure 14, a check mark was assigned a rating of 1, and no mark was assigned a rating of 0 (zero), and the scores were tallied across all responses.

[0039] A multiple regression analysis was performed using the total number of checks as the objective variable and the five-point evaluation score obtained from the questionnaire in Figure 13 as the explanatory variable. As a result, area characteristic indexes that have a significant effect on the WB index and partial regression coefficients were obtained.

[0040] In the next step S33, an area WB index evaluation value is obtained. Here, the area WB index evaluation value is the evaluation value of the WB index within the area that is the subject of analysis.

[0041] In this step S33, for each WB index, the standardized area characteristic index evaluation value (calculated in step S24) is multiplied by the partial regression coefficient and summed to obtain an area WB index evaluation value (FIG. 15, formula (3)).

[0042] 16 shows area WB index evaluation values ​​obtained in the embodiment. In the figure, the area WB index evaluation values ​​are converted into deviation values ​​between 20 areas and displayed using a radar chart.

[0043] In step S34, the area WB index evaluation value is converted into an evaluation value that reflects the persona's values. The area WB index evaluation value for each persona is obtained by applying a bias for each persona to the area WB index evaluation value. By performing such a calculation, an evaluation value that reflects the importance of each WB index as considered by the persona can be obtained.

[0044] In the embodiment, the average value of the five-level evaluation for each WB index obtained in step S13 was calculated for each persona. This five-level evaluation average value was normalized by converting it to a numerical value ranging from 0 to 1. For each persona, the area WB index evaluation value was multiplied by the normalized average value to calculate the area WB index evaluation value for each persona (FIG. 15, formula (4)).

[0045] 17 shows the area WB index evaluation values ​​for each persona obtained in the embodiment. In the figure, the area WB index evaluation values ​​are converted into deviation values ​​between 20 areas and displayed using a radar chart.

[0046] By carrying out this process, we were able to quantify how different areas were seen or felt by each persona, as shown in Figure 18.

[0047] (Devices, programs) Each of the above-mentioned embodiments can be automatically, easily and quickly executed by configuring it as a program that can function on a computer and running it on the computer. For example, as shown in the block diagram of Fig. 19, a computer system C can be configured that includes a storage device 40 that stores a program P and a processing device 30 that includes a computer, and that can communicate with each other, and the computer system C can be made to execute the above-mentioned method. In this case, the processing device 30 executes at least a part of the processing of steps S1-S3 according to the instructions of the started program P.

[0048] <Modification> The above analysis method is not limited to the cluster analysis, factor analysis, and multiple regression analysis described above. Various analysis methods and analytical techniques can be adopted in each process.

[0049] <Effects> (Aspect 1) In the above embodiment, an evaluation method is disclosed that includes a process (S22) for acquiring an objective evaluation of an area covering a living area, a process (S23) for acquiring a subjective evaluation of the area, and a comprehensive evaluation process for acquiring an overall evaluation of the area (corresponding to an area characteristic index evaluation value or an area WB index evaluation value) based on the objective evaluation and the subjective evaluation.

[0050] According to the above configuration, an evaluation based on people's values ​​can be obtained, rather than simply numerical values ​​or evaluations obtained from statistics. This makes it possible to appropriately evaluate the quality of life in a certain area.

[0051] (Aspect 2) The evaluation method of aspect 1 further includes a process (S25, S34) of obtaining an evaluation of the area by a persona by applying a bias held by a specific group (corresponding to a persona) to the overall evaluation.

[0052] With the above configuration, an evaluation of the area can be obtained that reflects the persona's perceptions of the importance and values ​​of indicators.

[0053] (Mode 3) In Mode 1 or 2, the classification of personas is obtained by analyzing people's awareness of their lives (S13).

[0054] With the above configuration, an evaluation of an area can be obtained based on people's lifestyles.

[0055] (Aspect 4) In any of aspects 1 to 3, the comprehensive evaluation process includes a process (S24) of analyzing the objective evaluation and the subjective evaluation, and obtaining an area specific index (corresponding to the first index) for the area and an evaluation value for the area specific index (corresponding to the first evaluation value) as an area specific index evaluation value, and a process (S3) of converting the area specific index evaluation value into an area WB index evaluation value. The area WB index is obtained by analyzing people's consciousness about their lives (S14).

[0056] In the above configuration, the evaluation of an area is converted into an index based on people's awareness and evaluated, so that the quality of life in the area can be appropriately evaluated.

[0057] (Aspect 5) In any of aspects 1 to 4, the processing of step S3 includes a process of analyzing the correlation between the WB index and the area specific index (S32), and a process of converting the area specific index evaluation value into an area WB index evaluation value based on the analyzed correlation (S33).

[0058] In the above configuration, the area specific index evaluation value can be accurately converted into the area WB index evaluation value based on the analysis.

[0059] (Aspects 6 and 7) Any of the methods of aspects 1 to 5 is executed by a processing device 30 or a program P.

[0060] By using the processing device 30 or the program P, the processing can be performed quickly and accurately. [Explanation of symbols]

[0061] Computer system C, program P, processing device 30, storage device 40

Claims

1. A process of acquiring an objective evaluation of an area including a living sphere; obtaining a subjective evaluation of the area; a comprehensive evaluation process for obtaining a comprehensive evaluation of the area based on the objective evaluation and the subjective evaluation; Evaluation methods including.

2. The method further includes a process of obtaining an evaluation of the area by applying a bias of a specific group to the overall evaluation. The evaluation method according to claim 1 .

3. The group is obtained by analyzing people's attitudes toward life. The evaluation method according to claim 2.

4. The comprehensive evaluation process includes: a process of analyzing the objective evaluation and the subjective evaluation to obtain a first index which is an index related to the area and a first evaluation value which is an evaluation value for the first index; A conversion process for converting the first evaluation value into a second evaluation value which is an evaluation value for a second index, The second index is obtained by analyzing people's attitudes toward their lives. The evaluation method according to claim 1 .

5. The conversion process includes: A process of analyzing a correlation between the first index and the second index; and converting the first evaluation value into the second evaluation value based on the relevance. The evaluation method according to claim 4.

6. A processing device that executes the evaluation method according to any one of claims 1 to 5.

7. A program for causing a processing device to execute the evaluation method according to any one of claims 1 to 5.

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