Policy decision support platform, method, and program

The platform addresses low engagement in policy discussions by suggesting high-interest policies from similar municipalities, thereby increasing resident participation and discussion activity.

JP7747076B2Active Publication Date: 2025-10-01NEC CORP
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Patent Information

Application Number
JP2023578223
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2022-02-01
Publication Date
2025-10-01
Estimated Expiration
2042-02-01

AI Technical Summary

Technical Problem

Existing policy decision support platforms face challenges such as policy proposals not attracting resident interest, leading to low participation and inactive discussions, despite systems like Decidim and vTaiwan aiming to enhance citizen engagement.

Method used

A resident-participation platform that calculates similarity between local governments based on stored municipality and past policy information, providing lists of high-interest policies from similar municipalities to attract resident attention.

Benefits of technology

Enhances resident engagement by proposing policies likely to attract interest, stimulating discussions and increasing participation through targeted policy suggestions.

✦ Generated by Eureka AI based on patent content.

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Abstract

Provided is a policy decision support platform (100) capable of making policy proposals that can attract more interest from residents. The policy decision support platform (100) is provided with: a municipal data storage unit (103) that stores municipal information about a plurality of municipalities; a past policy storage unit (104) that associates and stores past policy information and indicators of levels of interest in past policies for the plurality of municipalities; a similar municipality calculation unit (106) that, upon receiving, from a municipal terminal (200) of a target municipality, a request to refer to past policies of other municipalities similar to the target municipality, calculates the degrees of similarity between the target municipality and the other municipalities on the basis of the municipal information; and a past policy extraction unit (108) that extracts, from the past policy storage unit (104), the past policy information and the indicators of the levels of interest of similar municipalities for which the degrees of similarity to the target municipality are at least a first threshold value, creates a past policy list in which the municipality names, the past policy information, and the indicators of the levels of interest are associated with each other, and provides the list to the municipal terminal (200).
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Description

[Technical Field]

[0001] The present invention relates to a policy decision support platform, a policy decision support method, and program Regarding. [Background technology]

[0002] The use of citizen-participation digital platforms that support policymaking, such as Decidim and vTaiwan, is becoming more widespread. These policymaking support platforms help local governments propose policies that are appropriate for the size and attributes of the local government. Residents who participate in these platforms can also use them to propose policies themselves and discuss policies with other residents.

[0003] Patent Document 1 describes a consensus building support device that supports consensus building among users when considering some kind of policy in a region or community made up of multiple users. Specifically, the consensus building support device described in Patent Document 1 functions as a server and is capable of communicating with multiple user terminals via the Internet. The consensus building support device then obtains, from the multiple users, ranges of agreement and compromise for multiple evaluation indicators for a policy proposal under consideration, and presents a policy proposal that takes into account the opinions of the multiple users. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent Publication No. 2021-170187 Summary of the Invention [Problem to be solved by the invention]

[0005] Although the number of local governments and residents participating in policy decision support platforms is on the rise, problems have arisen, such as policy proposals proposed by local governments not attracting the interest of residents, residents not participating in discussions, and discussions not being lively. Patent Document 1 discloses acquiring the range of agreement or compromise on opinions on policy proposals from multiple users, but if the proposals do not attract the interest of users in the first place, it is difficult to liven up discussions.

[0006] The purpose of the present disclosure is to provide a policy decision support platform and method that can propose policy proposals that can attract more attention from residents, program The purpose is to provide [Means for solving the problem]

[0007] The policy decision support platform according to a first aspect of the present invention is a resident participation type policy decision support platform that can communicate with a local government terminal and a resident terminal, and includes a local government data storage means that stores, for a plurality of local governments, at least local government names and local government information in association with each other; a past policy storage means that stores, for a plurality of local governments, at least the local government names, past policy information regarding past policies, and an interest level index indicating the degree of interest of residents in the past policies in association with each other; and a past policy storage means that receives, from the local government terminal of a target local government or the resident terminal belonging to the target local government, information on past policies that are similar to the target local government. The system is equipped with a similar municipality calculation means that, when receiving a request to refer to the past policies of other municipalities, calculates the similarity between the target municipality and other municipalities based on the municipality information stored in the municipality data storage means, and a past policy extraction means that extracts the past policy information and interest index of similar municipalities whose similarity is equal to or greater than a first threshold from the past policy storage means, creates a past policy list of the similar municipalities that lists at least the municipality name, the past policy information, and the interest index in correspondence with each other, and provides the past policy list to the municipality terminal or the resident terminal.

[0008] A second aspect of the policy decision support method of the present invention is a method in which a computer that provides a resident-participation policy decision support platform capable of communicating with municipal terminals and resident terminals stores, for a plurality of municipalities, at least the municipality names and municipality information in association with each other, and for a plurality of municipalities, stores, in association with each other, at least the municipality names, past policy information regarding past policies, and an interest level index indicating the degree of interest of residents in the past policies; when a request to refer to past policies of other municipalities similar to the target municipality is received from the municipal terminal of a target municipality or the resident terminal belonging to the target municipality, the computer calculates the similarity between the target municipality and the other municipalities based on the municipal information, creates a list of past policies of the similar municipalities that lists, in association with each other, at least the municipal names, past policy information, and interest level index of similar municipalities whose similarity is equal to or greater than a first threshold, and provides the list of past policies to the municipal terminal or the resident terminal.

[0009] According to the third aspect of the present invention program a process of storing, in a computer capable of communicating with a local government terminal and a resident terminal, at least local government names and local government information in association with each other for a plurality of local governments; a process of storing, in association with each other for a plurality of local governments, at least the local government names, past policy information relating to past policies, and an interest level index indicating the degree of interest of residents in the past policies; a process of calculating a similarity between the target local government and other local governments based on the local government information when a reference request for past policies of other local governments similar to the target local government is received from the local government terminal of the target local government or the resident terminal belonging to the target local government; and a process of creating a list of past policies of similar local governments in which at least the local government names, past policy information, and interest level indexes are associated with each other for similar local governments whose similarity is equal to or greater than a first threshold, and providing the list of past policies to the local government terminal or the resident terminal. Run . [Effects of the Invention]

[0010] A policy decision support platform and method that can propose policy proposals that can attract more attention from residents, and program can be provided. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a block diagram showing an example of a policy decision support platform according to the present invention. [Figure 2] 1 is a block diagram showing an example of a policy decision support platform according to a first embodiment of the present invention. [Figure 3] 3 is a flowchart showing an example of a policy decision support method according to the first embodiment of the present invention. [Figure 4] 3 is a flowchart showing an example of a policy decision support method according to the first embodiment of the present invention. [Figure 5] FIG. 3 is a diagram showing an example of a list of past policies of similar local governments according to the first embodiment of the present invention. [Figure 6] FIG. 10 is a block diagram showing an example of a policy decision support platform according to a second embodiment of the present invention. [Figure 7] FIG. 10 is a diagram showing an example of a list of past policies of similar local governments according to the second embodiment of the present invention. [Figure 8] FIG. 10 is a diagram illustrating an example of a policy decision support platform according to a third embodiment of the present invention. [Figure 9] FIG. 10 is a diagram illustrating an example of a policy decision support platform according to a fourth embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram illustrating an example of a policy decision support platform 100 according to the present invention. The policy decision support platform 100 is a resident-participation digital platform. Multiple local governments participate in the policy decision support platform 100. The policy decision support platform 100 is capable of communicating with both multiple local government terminals 200, . . . and multiple resident terminals 300, . . . Here, the local government terminals 200 are terminals managed by each local government. The resident terminals 300 are terminals owned by residents of each local government or terminals installed in designated locations within the local government that residents can use. Local governments participating in the policy decision support platform 100 and their residents can discuss policy proposals and decide on better policies using the policy decision support platform 100. For example, a local government participating in the policy decision support platform 100 (hereinafter referred to as the "target local government") can request reference to past policies of similar local governments. Here, similar local governments are other local governments participating in the policy decision support platform 100 that are similar to the target local government. Similarly, residents of the target municipality can request to see past policies of similar municipalities among those participating in the policy decision support platform 100. When such a request is received, the policy decision support platform 100 creates a list of past policies that associates the past policies of the similar municipalities with an interest index that indicates the degree of interest of residents in the past policies. The policy decision support platform 100 then presents the list of past policies to the target municipality or the residents. This allows the policy decision support platform 100 to support better policy decisions.

[0013] The policy decision support platform 100 has a past policy extraction function, as shown in Fig. 1. The past policy extraction function includes, for example, a web interface 101, a local government data storage unit 103 as a local government data storage means, a past policy storage unit 104 as a past policy storage means, a similar local government calculation unit 106 as a similar local government calculation means, and a past policy extraction unit 108 as a past policy extraction means, as shown in Fig. 1. The policy decision support platform 100 may also have various other functions, such as a survey function, a proposal function, a voting function, and an approval function.

[0014] The Web interface 101 transmits and receives data between the policy decision support platform 100 and the local government terminal 200, and transmits and receives data between the policy decision support platform 100 and the resident terminal 300. The Web interface 101 has a GUI (Graphical User Interface) that is displayed on the display unit (not shown) of the local government terminal 200 and the display unit (not shown) of the resident terminal 300. A local government official (hereinafter simply referred to as "local government") can operate the Web interface 101 and use various functions of the policy decision support platform 100 by operating the GUI displayed on the local government terminal 200. Similarly, a resident can operate the Web interface 101 and use various functions of the policy decision support platform 100 by operating the GUI displayed on the resident terminal 300.

[0015] The local government data storage unit 103 stores at least the local government name and local government information associated with each other for a plurality of local governments. Here, the local government information refers to information about the local government's area, population, number of houses, number of commercial facilities, industry, economic and cultural information such as tax revenue, and statistical information related thereto. Furthermore, the local government information may include information not included in local government statistics, such as the transportation mode used, in addition to parameters such as the age, occupation, and family structure of residents.

[0016] The past policy storage unit 104 stores, for a plurality of local governments, at least the name of the local government, past policy information relating to past policies, and an interest level index indicating the degree of interest of residents in the past policies, in association with each other. Here, past policy information is information relating to the local government's past policies. Specifically, past policy information is information such as policy themes and policy contents. Furthermore, the interest level index is an index indicating the degree of interest of residents in the past policies. Specifically, the interest level index is information such as the number of comments submitted by residents regarding the policy.

[0017] The similar municipality calculation unit 106 calculates the similarity between the target municipality and other municipalities when the policy decision support platform 100 receives a request to refer to past policies of similar municipalities from the municipality terminal 200 or resident terminal 300 of the target municipality. Specifically, the similar municipality calculation unit 106 calculates the similarity between the target municipality and other municipalities participating in the policy decision support platform 100 based on the municipality information stored in the municipality data storage unit 103. Hereinafter, other municipalities whose similarity to the target municipality calculated by the similar municipality calculation unit 106 is equal to or greater than a first threshold will be referred to as similar municipalities.

[0018] The past policy extraction unit 108 extracts the past policy information and interest level index of similar municipalities from the past policy storage unit 104. Then, the past policy extraction unit 108 creates a list of past policies of similar municipalities that lists at least the names of similar municipalities, the past policy information, and the interest level index in association with each other, and provides the past policy list to the municipality terminal 200 or the resident terminal 300.

[0019] According to the policy decision support platform 100 of the present invention described above, a list of past policies of similar municipalities, in which the names of similar municipalities, past policy information, and interest indexes are associated with each other, is provided to the municipal terminal 200 or the resident terminal 300. Therefore, the municipality can select past policies with high interest indexes from the past policy list in the policy decision support platform 100 and propose policy proposals to residents based on the selected past policies. In other words, the municipality can propose policy proposals to residents that are likely to attract residents' interest in the policy decision support platform 100. This allows the municipality to propose policy proposals that will attract more residents' interest, encouraging residents to participate in discussions and stimulating discussions.

[0020] Embodiment 1 A policy decision support platform 100A according to a first embodiment of the present invention will be described. FIG. 2 is a diagram showing an example of the policy decision support platform 100A according to the first embodiment. Like the policy decision support platform 100 shown in FIG. 1, the policy decision support platform 100A according to the first embodiment is capable of communicating with both a plurality of local government terminals 200, ··· and a plurality of resident terminals 300, ···. As shown in FIG. 2, the policy decision support platform 100A includes a Web interface 101A, a local government data input unit 102, a local government data storage unit 103A, a past policy storage unit 104A, a request reception unit 105, a similar local government calculation unit 106A, a calculation result storage unit 107, and a past policy extraction unit 108A. In policy decision support platform 100A, web interface 101A, local government data storage unit 103A, past policy storage unit 104A, similar local government calculation unit 106A, and past policy extraction unit 108A have the same configurations as web interface 101, local government data storage unit 103, past policy storage unit 104, similar local government calculation unit 106, and past policy extraction unit 108 of policy decision support platform 100 shown in Fig. 1. Therefore, explanations of web interface 101A, local government data storage unit 103A, past policy storage unit 104A, similar local government calculation unit 106A, and past policy extraction unit 108A will be omitted unless necessary.

[0021] The local government data input unit 102 receives data input by local governments and residents participating in the policy decision support platform 100A, and transmits the received data to the local government data storage unit 103.

[0022] The local government data storage unit 103A stores the data received from the local government data input unit 102 as local government information for each local government. The local government information stored in the local government data storage unit 103A is the same as that stored in the local government data storage unit 103, and therefore a description thereof will be omitted.

[0023] The past policy storage unit 104A stores at least the name of the local government, past policy information, and interest level index in association with each other for a plurality of local governments, similar to the past policy storage unit 104. Furthermore, the past policy storage unit 104A may further store implementation information indicating whether or not a past policy was actually implemented for a plurality of local governments in association with the name of the local government, past policy information, and interest level index.

[0024] The request receiving unit 105 receives a reference request from the local government terminal 200 of a local government participating in the policy decision support platform 100A, requesting reference to past policies of similar local governments. The request receiving unit 105 also transmits the local government name of the local government that issued the reference request (hereinafter referred to as the "target local government") to the similar local government calculation unit 106A. Specifically, the local government terminal 200 of the target local government transmits its own local government name along with the reference request to the policy decision support platform 100A. The request receiving unit 105 then transmits the local government name of the target local government to the similar local government calculation unit 106A. The request receiving unit 105 may receive the reference request from the resident terminal 300 of a resident of a local government participating in the policy decision support platform 100 A. Specifically, the resident terminal 300 of the resident transmits the name of the local government to which the resident belongs along with the reference request to the policy decision support platform 100 A.

[0025] The similar municipality calculation unit 106A calculates the similarity between the target municipality and other municipalities in the same manner as the similar municipality calculation unit 106. Specifically, the similar municipality calculation unit 106A extracts municipality information of the target municipality stored in the municipality data storage unit 103A based on the municipality name of the target municipality received from the request reception unit 105. The similar municipality calculation unit 106A also calculates the similarity between the target municipality and other municipalities based on the extracted municipality information of the target municipality and the municipality information of the other municipalities stored in the municipality data storage unit 103A. The similar municipality calculation unit 106A then creates a list of similarities that associates the municipality names of the other municipalities with the calculated similarities, and transmits the created list of similarities to the calculation result storage unit 107. Here, the similarity is expressed, for example, as a score. The score value representing the similarity between identical municipalities is 1, and the score value representing the similarity between completely dissimilar municipalities is 0. Hereinafter, other municipalities whose similarity to the target municipality calculated by the similar municipality calculation unit 106A is equal to or greater than the first threshold value will be referred to as “similar municipalities.” Here, the first threshold value is a value that is set appropriately, for example, 0.6.

[0026] The calculation result storage unit 107 stores the list of similarities received from the similar local government calculation unit 106A. In other words, the calculation result storage unit 107 stores the names of local governments other than the target local government in association with the calculated similarities. The calculation result storage unit 107 also transmits the list of similarities to the past policy extraction unit 108A.

[0027] The past policy extraction unit 108A creates a list of past policies of similar municipalities in the same manner as the past policy extraction unit 108, and provides the past policy list to the municipality terminal 200 or the resident terminal 300. Specifically, the past policy extraction unit 108A extracts past policy information of similar municipalities from the past policy storage unit 104A based on the list of similarities received from the calculation result storage unit 107. In other words, the past policy extraction unit 108A searches the past policy storage unit 104A based on the municipality names of similar municipalities whose similarities are equal to or greater than a first threshold in the list of similarities, and extracts past policy information associated with the municipality names of the similar municipalities. Furthermore, the past policy extraction unit 108A may extract, from the past policy information of similar municipalities, past policy information whose interest index is equal to or greater than a second threshold from the past policy storage unit 104A, and create a past policy list by associating at least the name of the municipality with the extracted past policy information and the interest index. Here, the second threshold is a value that is set appropriately, and is, for example, 1000 when the interest index is the number of comments submitted by residents to the policy proposal. Furthermore, the past policy extraction unit 108A may extract implementation information in addition to the past policy information and interest level index of similar local governments from the past policy storage unit 104A. Then, the past policy extraction unit 108A may create a past policy list in which the implementation information is further associated with the local government name, past policy information, and interest level index. Furthermore, the past policy extraction unit 108A may extract from the past policy memory unit 104A, from the past policy information of similar municipalities, past policy information that was actually implemented based on the above-mentioned implementation information, and create a past policy list by associating at least the name of the municipality with the extracted past policy information and the interest level index.

[0028] Next, a policy decision support method in the policy decision support platform 100A according to the first embodiment will be described with reference to FIGS.

[0029] First, a method for registering local government information in local government data storage unit 103A will be described with reference to FIG. At least one of the local government terminal 200 of a local government participating in the policy decision support platform 100 and the resident terminal 300 of a resident belonging to the local government inputs local government information to the policy decision support platform 100A at any time (step S101). Specifically, a local government official (hereinafter simply referred to as "local government") operates the GUI of the Web interface 101 displayed on the local government terminal 200 to input the local government name and local government information of the local government into the policy decision support platform 100A. Furthermore, a resident operates the GUI of the Web interface 101 displayed on the resident terminal 300 to input the resident's name and the local government name and local government information of the local government to which the resident belongs into the policy decision support platform 100A. The local government information input by the local government includes information on the local government's area, population, number of residential buildings, number of commercial facilities, industry, economics such as tax revenue, and culture, as well as statistical information related to these. Furthermore, the local government information entered by residents includes parameters such as the resident's age, occupation, and family structure, as well as information not included in local government statistics, such as the means of transportation used.

[0030] Next, the local government data input unit 102 associates the local government information and the local government name input in step S101 with each other and transmits them to the local government data storage unit 103A, which then stores the local government information (step S102). In other words, the local government data storage unit 103A stores the local government information and the local government name input in step S101 in association with each other.

[0031] Next, a method for providing a list of past policies will be described with reference to FIG. First, the target local government operates the GUI of the Web interface 101 displayed on the local government terminal 200, and inputs a reference request to the policy decision support platform 100, requesting reference to past policies of similar local governments (step S201). Note that the reference request may also be input to the policy decision support platform 100 by a resident of the target local government operating the GUI of the Web interface 101 displayed on the resident terminal 300. Below, an example will be described in which the target local government inputs a reference request to the policy decision support platform 100.

[0032] Next, the request receiving unit 105 receives the reference request and transmits the name of the target local government to the similar local government calculation unit (step S202).

[0033] Next, the similar municipality calculation unit 106A calculates the similarity between the target municipality and other municipalities (step S203). Specifically, the similar municipality calculation unit 106A calculates the similarity between the target municipality and other municipalities based on the municipality information stored in the municipality data storage unit 103A. Then, the similar municipality calculation unit 106A creates a list of similarities that lists the municipality names of the other municipalities in association with the calculated similarities, and transmits the created list of similarities to the calculation result storage unit 107.

[0034] Next, the calculation result storage unit 107 stores the list of similarities received from the similar local government calculation unit 106A, and transmits the list of similarities to the past policy extraction unit 108A (step S204).

[0035] Next, the past policy extraction unit 108A extracts past policy information of similar local governments from the past policy storage unit 104A based on the list of similarities received from the calculation result storage unit 107 (step S205). The past policy extraction unit 108A may further extract implementation information of the past policies from the past policy storage unit 104A. Furthermore, the past policy extraction unit 108A extracts the number of comments from the past policy storage unit 104A as an interest index for the past policies (step S206).

[0036] Next, the past policy extraction unit 108A creates a past policy list that lists the names of similar municipalities, past policy information, and the number of comments in association with each other, and provides the past policy list to the municipal terminal 200 or the resident terminal 300 (step S207). The past policy extraction unit 108A may also create a past policy list that lists the names of similar municipalities, past policy information, interest level indexes, and implementation information in association with each other. The past policy extraction unit 108A may extract, from the past policy information of similar municipalities, past policy information whose interest index is equal to or greater than the second threshold, and create a past policy list by associating the name of the municipality with the extracted past policy information and the interest index. This makes it possible to present to the municipality only past policies that are likely to attract residents' interest, thereby eliminating the need for the municipality to select past policies that are likely to attract residents' interest based on the interest index. Furthermore, the past policy extraction unit 108A may extract from the past policy storage unit 104A, from the past policy information of similar municipalities, information on past policies that have actually been implemented based on the implementation information, and create a past policy list by associating the name of the municipality with the extracted past policy information and the interest level index. This makes it possible to present only past policies that have actually been implemented to the municipality, eliminating the need for the municipality to select past policies that have actually been implemented based on the implementation information.

[0037] FIG. 5 shows an example of a past policy list 400 of similar municipalities created by the past policy extraction unit 108A of the first embodiment. The past policy list 400 shown in FIG. 5 is a table in which a municipality name 400A, a similarity 400B, a proposed policy date and time 400C, a theme 400D indicating the content of the proposed policy, a number of comments 400E indicating an interest index, implementation information 400F, and notes 400G indicating other additional information about the proposed policy are associated with each other. The proposed policy date and time 400C, the theme 400D indicating the content of the proposed policy, and the notes 400G indicating other additional information about the proposed policy correspond to past policy information. In the implementation information 400F, a circle indicates that the policy was implemented, and an x ​​indicates that the policy was not implemented.

[0038] According to the policy decision support platform 100A of the first embodiment described above, a list of past policies of similar municipalities 400, which lists the municipality names 400A of similar municipalities, proposal dates and times 400C, themes 400D, and notes 400G as past policy information, and the number of comments 400E as an interest level index, is provided to the municipality terminal 200 or the resident terminal 300. Therefore, the municipality can select past policies with a high number of comments 400E as an interest level index from the past policy list 400 in the policy decision support platform 100 and propose policy proposals to residents based on the selected past policies. In other words, the municipality can propose policy proposals to residents that are likely to attract residents' attention in the policy decision support platform 100. This allows the municipality to propose policy proposals that are likely to attract residents' attention, encouraging residents to participate in discussions and stimulating discussions.

[0039] Furthermore, the past policy extraction unit 108A may extract, from the past policy information of similar municipalities, past policy information whose interest index is equal to or greater than a second threshold from the past policy storage unit 104A. The past policy extraction unit 108A may then create the past policy list 400 by associating the name of the municipality 400A with the proposal date and time 400C, theme 400D, and remarks 400G as past policy information, and the number of comments 400E as an interest index. This allows the municipality to present only past policies that are likely to attract residents' interest, eliminating the need for the municipality to select past policies that are likely to attract residents' interest based on the interest index.

[0040] Furthermore, the past policy extraction unit 108A may create a past policy list 400 that lists the names 400A of similar municipalities, proposal dates and times 400C, themes 400D, and notes 400G as past policy information, and the number of comments 400E as an interest level index, all of which are further associated with implementation information 400F. This allows the municipality to check whether the past policies of similar municipalities have actually been implemented and consider policy proposals to propose to residents.

[0041] Furthermore, the past policy extraction unit 108A may extract, from the past policy information of similar municipalities, past policy information that was actually implemented based on the implementation information from the past policy storage unit 104A. The past policy extraction unit 108A may then create a past policy list 400 by associating the name of the municipality 400A with the proposal date and time 400C, theme 400D, and remarks 400G as past policy information, and the number of comments 400E as an interest level index. This allows only past policies that were actually implemented to be presented to the municipality, eliminating the need for the municipality to select past policies that were actually implemented based on the implementation information.

[0042] Embodiment 2 Fig. 6 is a diagram showing an example of a policy decision support platform 100B according to embodiment 2. As shown in Fig. 6, in the policy decision support platform 100B, the configurations of a local government data storage unit 103B, a similar local government calculation unit 106B, a calculation result storage unit 107B, and a past policy extraction unit 108B are different from those of the policy decision support platform 100A according to embodiment 1. Therefore, a description of the configuration of the policy decision support platform 100B that is the same as that of the policy decision support platform 100A will be omitted.

[0043] The local government data storage unit 103B further stores, for a plurality of local governments, in-progress policy information relating to policies in progress in the local government, in association with the local government name and local government information. In other words, the local government data storage unit 103B stores, for each of a plurality of local governments, local government information and in-progress policy information.

[0044] The similar municipality calculation unit 106B calculates the similarity between the target municipality and other municipalities and creates a list of similarities in the same manner as the similar municipality calculation unit 106A. Then, the similar municipality calculation unit 106B transmits the name of the target municipality received from the request receiving unit 105 and the created list of similarities to the calculation result storage unit 107B.

[0045] The calculation result storage unit 107B stores the list of similarities received from the similar municipality calculation unit 106B. In addition, the calculation result storage unit 107B transmits the list of similarities and the municipality names of the target municipalities received from the similar municipality calculation unit 106B to the past policy extraction unit 108B. The name of the target local government may be sent directly from the request receiving unit 105 to the past policy extraction unit 108B.

[0046] The past policy extraction unit 108B searches the local government data storage unit 103B based on the name of the target local government received from the calculation result storage unit 107B and extracts the in-progress policy information of the target local government. Similarly to the past policy extraction unit 108A, the past policy extraction unit 108B extracts the in-progress policy information of similar local governments from the past policy storage unit 104A based on the list of similarities received from the calculation result storage unit 107B. The past policy extraction unit 108B then calculates a first degree of association between the in-progress policy information and the past policy information of the similar local governments. Here, the first degree of association indicates the degree of association between the in-progress policy of the target local government and the past policies of the similar local governments. The past policy extraction unit 108B calculates the first degree of association based on whether there is similarity between the policy information of the in-progress policy included in the in-progress policy information and the past policy information of the past policies of the similar local governments. Specifically, the past policy extraction unit 108B calculates the first relevance based on the number of keywords common to the theme of the policy and other additional information contained in the policy information of the policy in progress and the theme of the past policy and other additional information contained in the past policy information.

[0047] Furthermore, the past policy extraction unit 108B searches the past policy storage unit 104A based on the name of the target municipality received from the calculation result storage unit 107B to extract the past policy information of the target municipality. The past policy extraction unit 108B then calculates a second relevance between the past policy information of the target municipality and the past policy information of the similar municipalities. Here, the second relevance indicates the degree of relevance between the past policies of the target municipality and the past policies of the similar municipalities. The past policy extraction unit 108B calculates the second relevance based on whether there is similarity between the past policy information of the target municipality and the past policy information of the similar municipalities. Specifically, the past policy extraction unit 108B calculates the second relevance based on the number of keywords common to the theme and other additional information of the past policy included in the past policy information of the target municipality and the theme and other additional information of the past policy included in the past policy information of the similar municipalities.

[0048] Then, the past policy extraction unit 108B creates a past policy list in which the names of similar municipalities, past policy information, and interest indexes are further associated with the first degree of association and the second degree of association. Note that the past policy extraction unit 108B may create a past policy list in which the names of municipalities, past policy information, interest indexes, first degree of association, and second degree of association are further associated with implementation information.

[0049] Fig. 7 shows an example of a past policy list 401 of similar local governments created by the past policy extraction unit 108B of the present embodiment 2. The past policy list 401 shown in Fig. 7 is a table in which local government names 400A, similarities 400B, proposed policy proposal dates and times 400C, themes 400D indicating the contents of the policy proposals, number of comments indicating interest levels 400E, implementation information 400F, first relevance 401A, second relevance 401B, and notes 400G indicating other additional information about the policy proposals are associated with each other.

[0050] According to the policy decision support platform 100B of the second embodiment described above, a past policy list 401 is presented to a local government, in which a first relevance 401A is further associated with the names 400A of similar local governments, proposal dates and times 400C, themes 400D, and notes 400G as past policy information, and the number of comments 400E as an interest level indicator. Therefore, based on the first relevance 401A, the target local government can select past policies that are highly relevant to the policy in progress and propose policy proposals to residents by referring to the selected past policies. In other words, the local government can propose policy proposals related to the policy in progress to residents in the policy decision support platform 100B.

[0051] Furthermore, a past policy list 401 is presented to the local government, in which a second relevance 401B is further associated with the names 400A of similar local governments, proposal dates and times 400C, themes 400D, and notes 400G as past policy information, and the number of comments 400E as an interest level indicator. Therefore, based on the second relevance 401B, the target local government can select past policies of similar local governments that are highly relevant to the target local government's past policies, and propose policy proposals to residents based on the selected past policies. In other words, the local government can propose policy proposals related to past policies to residents in the policy decision support platform 100B.

[0052] Embodiment 3 Fig. 8 is a diagram showing an example of a policy decision support platform 100C according to embodiment 3. As shown in Fig. 8, the policy decision support platform 100C differs from the policy decision support platforms 100A and 100B in the configurations of a local government data storage unit 103C and a data collection unit 109. Therefore, a description of the configuration of the policy decision support platform 100C that is the same as that of the policy decision support platforms 100A and 100B will be omitted.

[0053] The data collection unit 109 periodically collects statistical information about the local governments participating in the policy decision support platform 100C that is published on the Web. The data collection unit 109 also transmits the collected statistical information to the local government data storage unit 103C.

[0054] The local government data storage unit 103C stores the data received from the local government data input unit 102 as local government information for each local government. Furthermore, the local government data storage unit 103C stores the statistical information collected by the data collection unit 109 as local government information for each local government.

[0055] According to the policy decision support platform 100C according to the third embodiment described above, in addition to information input by local governments and residents, statistical information about local governments participating in the policy decision support platform 100C that is published on the Web is stored in the local government data storage unit 103. Therefore, the local government data storage unit 103 can store more local government information, updated local government information, and new local government information about local governments participating in the policy decision support platform 100C. This also saves local governments and residents the trouble of inputting local government information into the policy decision support platform 100C.

[0056] Embodiment 4 FIG. 9 shows an example of policy decision support platforms 100D and 100E according to the fourth embodiment. In the fourth embodiment, the first policy decision support platform 100D and the second policy decision support platform 100E share a past policy extraction function. The past policy extraction function has a configuration similar to that of the past policy extraction function shown in FIGS. 1, 2, 6, and 7. That is, the first policy decision support platform 100D and the second policy decision support platform 100E share at least the local government data storage units 103, 103A, 103B, and 103C, the past policy storage units 104 and 104A, the similar local government calculation units 106, 106A, and 106B, and the past policy extraction units 108, 108A, and 108B.

[0057] According to the policy decision support platforms 100D and 100E of the fourth embodiment described above, if the number of digital platforms similar to the policy decision support platform of the present invention increases in the future, it will be possible to propose policy proposals across multiple digital platforms.

[0058] In the above embodiment, the present invention has been described as a hardware configuration, but the present invention is not limited to this. The present invention can also be realized by having a CPU (Central Processing Unit) execute a computer program to perform the processing procedures shown in the flowcharts of Figures 3 and 4.

[0059] The above-described program can be stored and supplied to a computer using various types of non-transitory computer-readable media. Non-transitory computer-readable media include various types of tangible storage media. Examples of non-transitory computer-readable media include magnetic storage media (e.g., flexible disks, magnetic tapes, hard disk drives), magneto-optical storage media (e.g., magneto-optical disks), CD-ROMs (Read Only Memory), CD-Rs, CD-R / Ws, and semiconductor memories (e.g., mask ROMs, PROMs (Programmable ROMs), EPROMs (Erasable PROMs), flash ROMs, and RAMs (Random Access Memory)). The program can also be supplied to a computer by various types of transitory computer-readable media. Examples of transitory computer-readable media include electrical signals, optical signals, and electromagnetic waves. The transitory computer-readable media can supply the program to a computer via a wired communication path such as an electric wire or optical fiber, or via a wireless communication path.

[0060] The present invention has been described above with reference to the embodiments, but the present invention is not limited to the above. Various modifications that are understandable to those skilled in the art can be made to the configuration and details of the present invention within the scope of the invention. For example, the policy decision support platform according to the present invention can be applied not only to local governments but also to policy decision support in communities with multiple users.

[0061] A part or all of the above-described embodiments can be described as, but not limited to, the following supplementary notes. (Appendix 1) A resident-participation policy decision support platform that can communicate with local government terminals and resident terminals, a local government data storage means for storing at least local government names and local government information in association with each other for a plurality of local governments; a past policy storage means for storing, for a plurality of local governments, at least the names of the local governments, past policy information relating to past policies, and interest level indicators indicating the degree of interest of residents in the past policies in association with each other; When a request for reference to past policies of other municipalities similar to the target municipality is received from the municipality terminal of the target municipality or the resident terminal belonging to the target municipality, a similarity calculation means for calculating a similarity between the target municipality and other municipalities based on the municipality information stored in the municipality data storage means; past policy extraction means for extracting from the past policy storage means the past policy information and the interest index of similar municipalities whose similarity is equal to or greater than a first threshold, creating a past policy list of the similar municipalities that lists at least the municipality name, the past policy information, and the interest index in association with each other, and providing the past policy list to the municipality terminal or the resident terminal; A policy decision support platform. (Appendix 2) the past policy extraction means extracts from the past policy storage means, among the past policy information of the similar local governments, the past policy information whose interest index is equal to or greater than a second threshold, and creates the past policy list by associating at least the local government name with the extracted past policy information and the interest index; The policy support platform described in Appendix 1. (Appendix 3) the past policy storage means further stores, for a plurality of local governments, implementation information indicating whether the past policies have actually been implemented, in association with the local government names, the past policy information, and the interest level index; The past policy extraction means extracting the past policy information, the interest index, and the implementation information of the similar local government from the past policy storage means; creating the past policy list in which the implementation information is further associated with the name of the local government, the past policy information, and the interest index; A policy support platform as set forth in Appendix 1 or 2. (Appendix 4) the past policy extraction means extracts from the past policy storage means, among the past policy information of the similar local governments, the past policy information that has actually been implemented based on the implementation information, and creates the past policy list by associating at least the local government name with the extracted past policy information and the interest level index; The policy support platform described in Appendix 3. (Appendix 5) the local government data storage means further stores, for a plurality of local governments, in-progress policy information relating to policies in-progress in association with the local government names and the local government information; The past policy extraction means extracting the in-process policy information of the target local government from the local government data storage means, and calculating a first degree of association between the in-process policy information and the past policy information of the similar local government; creating the past policy list in which the first relevance is further associated with the name of the local government, the past policy information, and the interest level index; A policy support platform as set forth in any one of Appendices 1 to 4. (Appendix 6) The past policy extraction means extracting the past policy information of the target local government from the past policy storage means, and calculating a second degree of association between the past policy information of the target local government and the past policy information of the similar local government; creating the past policy list in which the second relevance is further associated with the name of the local government, the past policy information, and the interest level index; A policy support platform as set forth in any one of Appendices 1 to 5. (Appendix 7) Further, the system is equipped with a means of periodically collecting statistical information published on the Web for multiple local governments, 7. The policy decision support platform according to any one of appendices 1 to 6, wherein the local government data storage means stores the statistical information collected by the collection means as the local government information. (Appendix 8) One of the policy decision support platforms shares the local government data storage means, the past policy storage means, the similar local government calculation means, and the past policy extraction means with the other policy decision support platforms. A policy support platform as set forth in any one of Appendices 1 to 7. (Appendix 9) A computer that provides a resident-participation type policy decision support platform that can communicate with local government terminals and resident terminals, For a plurality of municipalities, at least the names of the municipalities and the municipality information are stored in association with each other; For a plurality of local governments, at least the local government name, past policy information relating to past policies, and an interest level index indicating the degree of interest of residents in the past policies are stored in association with each other; When a request for reference to past policies of other municipalities similar to the target municipality is received from the municipality terminal of the target municipality or the resident terminal belonging to the target municipality, Calculating a similarity between the target municipality and other municipalities based on the municipality information; creating a list of past policies of similar municipalities that lists at least the names of the municipalities, the past policy information, and the interest level indexes of similar municipalities whose similarity is equal to or greater than a first threshold, and providing the list of past policies to the municipality terminal or the resident terminal; Policy decision support methods. (Appendix 10) the computer creates the past policy list by associating at least the names of the similar municipalities, the past policy information in which the interest index is equal to or greater than a second threshold, and the interest index; A policy decision support method as set forth in Appendix 9. (Appendix 11) The computer further storing implementation information indicating whether the past policies have actually been implemented for a plurality of local governments in association with the local government names, the past policy information, and the interest level index; When a request for reference to past policies of other municipalities similar to the target municipality is received from the municipality terminal of the target municipality or the resident terminal belonging to the target municipality, creating the past policy list in which the names of the similar local governments, the past policy information, the interest level index, and the implementation information are further associated with each other; 11. A policy decision support method according to claim 9 or 10. (Appendix 12) the computer creates the list of past policies by associating at least the names of the similar local governments, the information on the past policies that have actually been implemented, and the interest level index; 12. A method for supporting policy making as set forth in Appendix 11. (Appendix 13) The computer further storing in-progress policy information relating to policies in progress for a plurality of local governments in association with the local government names and the local government information; When a request for reference to past policies of other municipalities similar to the target municipality is received from the municipality terminal of the target municipality or the resident terminal belonging to the target municipality, Calculating a first degree of relevance between the in-progress policy information of the target local government and the past policy information of the similar local government; creating the past policy list in which the first relevance is further associated with the name of the local government, the past policy information, and the interest level index; A policy decision support method according to any one of appendices 9 to 12. (Appendix 14) When a request for reference to past policies of other municipalities similar to the target municipality is received from the municipality terminal of the target municipality or the resident terminal belonging to the target municipality, The computer Calculating a second degree of association between the past policy information of the target local government and the past policy information of the similar local government; creating the past policy list in which the second relevance is further associated with the name of the local government, the past policy information, and the interest level index; A policy decision support method according to any one of appendices 9 to 13. (Appendix 15) The computer We regularly collect statistical information published on the web for multiple local governments, storing the collected statistical information as the local government information; A policy decision support method according to any one of appendices 9 to 14. (Appendix 16) A computer that provides a resident-participation policy decision support platform that can communicate with local government terminals and resident terminals, A process of storing at least names of municipalities and municipal information in association with each other for a plurality of municipalities; a process of storing, for a plurality of local governments, at least the names of the local governments, past policy information relating to past policies, and interest level indicators indicating the degree of interest of residents in the past policies in association with each other; When a request for reference to past policies of other municipalities similar to the target municipality is received from the municipality terminal of the target municipality or the resident terminal belonging to the target municipality, A process of calculating a similarity between the target municipality and other municipalities based on the municipality information; A process of creating a list of past policies of similar municipalities that lists at least the names of the municipalities, the past policy information, and the interest level index of similar municipalities whose similarity is equal to or greater than a first threshold, and providing the list of past policies to the municipality terminal or the resident terminal; A non-transitory computer-readable medium on which a program is stored, causing the program to execute. (Appendix 17) causing the computer to execute a process of creating the past policy list by associating at least the names of the similar local governments, the past policy information in which the interest index is equal to or greater than a second threshold, and the interest index; 17. A non-transitory computer-readable medium having stored thereon the program of claim 16. (Appendix 18) The computer, a process of further storing implementation information indicating whether the past policies have actually been implemented, in association with the names of the local governments, the past policy information, and the interest level index, for a plurality of local governments; When a request for reference to past policies of other municipalities similar to the target municipality is received from the municipality terminal of the target municipality or the resident terminal belonging to the target municipality, a process of creating the past policy list in which the names of the similar local governments, the past policy information, the interest level index, and the implementation information are further associated with each other; A non-transitory computer-readable medium storing a program according to appendix 16 or 17, which causes the program to execute the above. (Appendix 19) causing the computer to execute a process of creating the list of past policies by associating at least the names of the similar local governments, the information on the past policies that have actually been implemented, and the interest level index; 19. A non-transitory computer-readable medium having stored thereon the program of claim 18. (Appendix 20) The computer, a process of further storing in-progress policy information relating to policies in progress for a plurality of local governments in association with the local government names and the local government information; When a request for reference to past policies of other municipalities similar to the target municipality is received from the municipality terminal of the target municipality or the resident terminal belonging to the target municipality, A process of calculating a first degree of association between the in-progress policy information of the target local government and the past policy information of the similar local government; a process of creating the past policy list in which the first relevance is further associated with the name of the local government, the past policy information, and the interest level index; A non-transitory computer-readable medium storing the program according to any one of appendices 16 to 19. (Appendix 21) When a request for reference to past policies of other municipalities similar to the target municipality is received from the municipality terminal of the target municipality or the resident terminal belonging to the target municipality, The computer, A process of calculating a second degree of association between the past policy information of the target local government and the past policy information of the similar local government; a process of creating the past policy list in which the second relevance is further associated with the name of the local government, the past policy information, and the interest level index; A non-transitory computer-readable medium storing a program according to any one of appendices 16 to 20, which causes the program to execute the above. (Appendix 22) The computer, The process involves periodically collecting statistical information published on the web for multiple local governments. A process of storing the collected statistical information as the local government information; A non-transitory computer-readable medium storing a program according to any one of appendices 16 to 21, which causes the program to execute the above. [Industrial Applicability]

[0062] It is possible to provide a policy decision support platform, a method, and a non-transitory computer-readable medium having a program stored thereon that can propose policy proposals that can attract more interest from residents. [Explanation of symbols]

[0063] 100, 100A, 100B, 100C, 100D Policy Decision Support Platform 101,101A Web Interface 102 Municipal Data Entry Department 103, 103A, 103B, 103C Municipal data storage unit 104,104A Past policy memory department 105 Request Reception Department 106,106A,106B Similar municipality calculation department 107,107B Calculation result storage unit 108,108A,108B Past policy extraction section 109 Data Collection Department 110 200 local government terminals 300 Resident terminal 400,401 Past Policy List

Claims

1. A resident-participation policy decision support platform that can communicate with local government terminals and resident terminals, a local government data storage means for storing at least local government names and local government information in association with each other for a plurality of local governments; a past policy storage means for storing, for a plurality of local governments, at least the names of the local governments, past policy information relating to past policies, and interest level indicators indicating the degree of interest of residents in the past policies in association with each other; When a request for reference to past policies of other municipalities similar to the target municipality is received from the municipality terminal of the target municipality or the resident terminal belonging to the target municipality, a similarity calculation means for calculating a similarity between the target municipality and other municipalities based on the municipality information stored in the municipality data storage means; past policy extraction means for extracting from the past policy storage means the past policy information and the interest index of similar municipalities whose similarity is equal to or greater than a first threshold, creating a past policy list of the similar municipalities that lists at least the municipality name, the past policy information, and the interest index in association with each other, and providing the past policy list to the municipality terminal or the resident terminal; Equipped with The past policy extraction means extracts from the past policy storage means, among the past policy information of the similar municipalities, the past policy information whose interest index is equal to or greater than a second threshold, and creates the past policy list by associating at least the name of the municipality with the extracted past policy information and the interest index.

2. the past policy storage means further stores, for a plurality of local governments, implementation information indicating whether the past policies have actually been implemented, in association with the local government names, the past policy information, and the interest level index; The past policy extraction means extracting the past policy information, the interest index, and the implementation information of the similar local government from the past policy storage means; creating the past policy list in which the implementation information is further associated with the name of the local government, the past policy information, and the interest index; The policy decision support platform according to claim 1 .

3. the past policy extraction means extracts from the past policy storage means, among the past policy information of the similar local governments, the past policy information that has actually been implemented based on the implementation information, and creates the past policy list by associating at least the local government name with the extracted past policy information and the interest level index; The policy decision support platform according to claim 2 .

4. the local government data storage means further stores, for a plurality of local governments, in-progress policy information relating to policies in-progress in association with the local government names and the local government information; The past policy extraction means extracting the in-process policy information of the target local government from the local government data storage means, and calculating a first degree of association between the in-process policy information and the past policy information of the similar local government; creating the past policy list in which the first relevance is further associated with the name of the local government, the past policy information, and the interest level index; The policy decision support platform according to any one of claims 1 to 3.

5. The past policy extraction means extracting the past policy information of the target local government from the past policy storage means, and calculating a second degree of association between the past policy information of the target local government and the past policy information of the similar local government; creating the past policy list in which the second relevance is further associated with the name of the local government, the past policy information, and the interest level index; The policy decision support platform according to any one of claims 1 to 4.

6. The system further comprises a collection means for periodically collecting statistical information published on the Web for a plurality of local governments; 6. The policy decision support platform according to claim 1, wherein the local government data storage means stores the statistical information collected by the collection means as the local government information.

7. One of the policy decision support platforms shares the local government data storage means, the past policy storage means, the similar local government calculation means, and the past policy extraction means with the other policy decision support platforms. The policy decision support platform according to any one of claims 1 to 6.

8. A computer that provides a resident-participation type policy decision support platform that can communicate with local government terminals and resident terminals, For a plurality of municipalities, at least the names of the municipalities and the municipality information are stored in association with each other; For a plurality of local governments, at least the local government name, past policy information relating to past policies, and an interest level index indicating the degree of interest of residents in the past policies are stored in association with each other; When a request for reference to past policies of other municipalities similar to the target municipality is received from the municipality terminal of the target municipality or the resident terminal belonging to the target municipality, Calculating a similarity between the target municipality and other municipalities based on the municipality information; extracting from the past policy storage means, from the past policy information of similar municipalities whose similarity is equal to or greater than a first threshold, past policy information whose interest index is equal to or greater than a second threshold, creating a past policy list of the similar municipalities that lists at least the municipality names of the similar municipalities, the extracted past policy information, and the interest index in correspondence with each other, and providing the past policy list to the municipality terminal or the resident terminal; Policy decision support methods.

9. A computer that provides a resident-participation policy decision support platform that can communicate with local government terminals and resident terminals, A process of storing at least names of municipalities and municipal information in association with each other for a plurality of municipalities; a process of storing, for a plurality of local governments, at least the names of the local governments, past policy information relating to past policies, and interest level indicators indicating the degree of interest of residents in the past policies in association with each other; When a request for reference to past policies of other municipalities similar to the target municipality is received from the municipality terminal of the target municipality or the resident terminal belonging to the target municipality, A process of calculating a similarity between the target municipality and other municipalities based on the municipality information; A process of extracting from the past policy storage means, among the past policy information of similar municipalities whose similarity is equal to or greater than a first threshold, the past policy information whose interest index is equal to or greater than a second threshold, creating a past policy list of the similar municipalities that lists the municipality names of the similar municipalities, the extracted past policy information, and the interest index in association with each other, and providing the past policy list to the municipality terminal or the resident terminal; A program that executes.

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