Program and information processing device

Abstract

To propose a traffic measure or a policy target considering a situation of each region.SOLUTION: A program allows a computer to function as: acquisition means 54 for acquiring at least relevant data regarding regional traffic means; calculation means 56 for calculating a score value corresponding to each element of a regional traffic score associated with each of a plurality of traffic measures according to the relevant data; extracting means 58 for extracting a regional traffic measure on the basis of the score value corresponding to each element of the regional traffic score; and output means 60 for outputting information indicating the extracted regional traffic measure.SELECTED DRAWING: Figure 3

Description

Technical Field

[0001] The present invention relates to a program and an information processing apparatus.

Background Art

[0002] Conventionally, techniques for realizing evidence-based policy making (EBPM) have been known. For example, a technique for analyzing existing administrative services using existing statistical methods in order to propose a new policy is known.

[0003] Regarding this, Patent Document 1 discloses a technique capable of automatically proposing to a user a traffic policy to be implemented for a problem.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, with the technique described in Patent Document 1, it is not possible to propose a traffic policy or a policy target (problem) taking into account the circumstances of each region (for example, the operation rate of public transportation is low, public transportation is often delayed due to strong winds, etc.).

[0006] The present invention has been made in view of such problems, and an object thereof is to provide a program and an information processing apparatus capable of proposing a traffic policy or a policy target taking into account the circumstances of each region.

Means for Solving the Problems

[0007] To solve the above problems, the program according to the first aspect of the present invention causes a computer to function as acquisition means for acquiring at least related data regarding the transportation means in a region, calculation means for calculating score values corresponding to respective elements of a regional transportation score associated with a plurality of transportation policies according to the related data, extraction means for extracting the transportation policies in the region based on the score values corresponding to the respective elements of the regional transportation score, and output means for outputting information indicating the extracted transportation policies in the region.

[0008] Further, in the second aspect of the present invention, the extraction means preferentially extracts transportation policies associated with elements having low score values among the respective elements of the regional transportation score and that can improve the score values.

[0009] Further, in the third aspect of the present invention, the computer is caused to function as reception means for receiving an extraction request including a policy target corresponding to any one of the elements of the regional transportation score as an extraction request for extracting the transportation policies in the region, and the extraction means extracts the transportation policies in the region based on the elements of the regional transportation score associated with the policy target included in the received extraction request.

[0010] The program according to the fourth aspect of the present invention causes a computer to function as acquisition means for acquiring at least related data regarding the transportation means in a region, calculation means for calculating score values corresponding to respective elements of a regional transportation score associated with a plurality of policy targets according to the related data, extraction means for extracting the policy targets in the region based on the score values corresponding to the respective elements of the regional transportation score, and output means for outputting information indicating the extracted policy targets in the region.

[0011] Further, in the fifth aspect of the present invention, the extraction means preferentially extracts policy targets associated with elements having low score values among the respective elements of the regional transportation score and that can improve the score values.

[0012] Further, in the sixth aspect of the present invention, the computer is caused to function as reception means for receiving an extraction request including a traffic measure corresponding to any one of the elements of the regional traffic score as an extraction request for extracting the policy objectives of the region, and the extraction means extracts the policy objectives of the region based on the elements of the regional traffic score associated with the traffic measure included in the received extraction request.

[0013] Also, an information processing apparatus according to a seventh aspect of the present invention includes acquisition means for acquiring at least related data regarding regional transportation means, calculation means for calculating score values corresponding to respective elements of a regional traffic score respectively associated with a plurality of traffic measures according to the related data, extraction means for extracting the traffic measures of the region based on the score values corresponding to the respective elements of the regional traffic score, and output means for outputting information indicating the extracted traffic measures of the region.

[0014] Also, an information processing apparatus according to an eighth aspect of the present invention includes acquisition means for acquiring at least related data regarding regional transportation means, calculation means for calculating score values corresponding to respective elements of a regional traffic score respectively associated with a plurality of policy objectives according to the related data, extraction means for extracting the policy objectives of the region based on the score values corresponding to the respective elements of the regional traffic score, and output means for outputting information indicating the extracted policy objectives of the region.

Advantages of the Invention

[0015] According to the present invention, it is possible to propose traffic measures or policy objectives in consideration of the circumstances of each region.

Brief Description of the Drawings

[0016]

Figure 1

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Figure 10

Mode for Carrying Out the Invention

[0017] Hereinafter, embodiments of the present invention (hereinafter referred to as "this embodiment") will be described with reference to the accompanying drawings. For ease of understanding of the description, the same reference numerals are given to the same components and steps in each drawing as much as possible, and duplicate descriptions are omitted.

[0018] <Overall Configuration> FIG. 1 is a block diagram showing an example of the overall configuration of the proposed system 1 according to the present embodiment of the present invention.

[0019] As shown in FIG. 1, the proposed system 1 includes a server device 10 and a plurality of terminal devices 12. These devices are configured to be able to communicate with each other via a communication network NT such as the Internet or a telephone line network.

[0020] The server device 10 is an information processing device (computer) that generates various types of information to be provided to users. For example, such users include those belonging to local governments (administrations), transportation agencies, enterprises, educational institutions, various organizations, etc.

[0021] The terminal device 12 is an information processing device possessed by each user. Examples of the terminal device 12 include mobile phones, smartphones, tablets, personal computers, etc.

[0022] <Hardware Configuration> FIG. 2 is a block diagram showing an example of the hardware configuration of the server device 10 shown in FIG. 1.

[0023] As shown in FIG. 2, the server device 10 includes a control device 20, a communication device 26, and a storage device 28. The control device 20 is mainly configured to include a CPU (Central Processing Unit) 22 and a memory 24.

[0024] In the control device 20, the CPU 22 functions as various functional means by executing a predetermined program stored in the memory 24 or the storage device 28 or the like. Details of this functional means will be described later.

[0025] The communication device 26 is composed of a communication interface or the like for communicating with external devices. The communication device 26 transmits and receives various types of information to and from, for example, the terminal device 12.

[0026] The storage device 28 is composed of a hard disk or the like. The storage device 28 stores various programs, various types of information, and information on processing results necessary for the execution of processing in the control device 20.

[0027] Note that the server device 10 can be realized by using an information processing device such as a dedicated or general-purpose server computer. Further, the server device 10 may be composed of a single information processing device or may be composed of a plurality of information processing devices distributed on the communication network NT. Also, FIG. 2 only shows a part of the main hardware configuration of the server device 10, and the server device 10 can be provided with other configurations generally provided in a server. Further, the hardware configuration of the plurality of terminal devices 12 can also be provided with the same configuration as the server device 10, except for including, for example, an operation means and a display device.

[0028] <Functional configuration> (Specific example 1) FIG. 3 is a block diagram showing an example of the functional configuration of the proposed system 1 according to the present embodiment.

[0029] As shown in FIG. 3, for example, the server device 10 in the proposed system 1 includes, as a functional configuration, a storage means 50, a reception means 52, an acquisition means 54, a calculation means 56, an extraction means 58, and an output means 60.

[0030] The storage means 50 stores related data 50A, score calculation information 50B, traffic policy response information 50C, policy target response information 50D, and user information 50E.

[0031] The related data 50A includes the data acquired by the acquisition means 54. This data includes, for example, at least data related to the transportation means in the region. Examples of this region include prefectures, municipalities, etc. Examples of the data related to the transportation means in this region (related data) include, for example, floating data, enterprise data, administrative data, user questionnaires, etc. For example, the floating data associates each link ID of each link connecting each node (e.g., stations, bus stops, intersections) in the section (range) where the transportation operator operates the transportation means with the transportation means, link information, etc. Examples of the transportation means include taxis, buses, trains, ships, airplanes, etc. The link information includes, for example, link names (e.g., route names or road names), directions (departure node and arrival node), link lengths (e.g., distances), position information (e.g., latitude and longitude of each node), moving speeds, required times, fares, number of transportable people, number of users, carbon dioxide emissions, delay occurrence rates, etc. The enterprise data includes the names, locations, number of employees, etc. of enterprises in the region. The administrative data includes the names, locations, number of staff, etc. of the administration in the region. The user questionnaire includes, for example, the questionnaire results for the transportation means, etc.

[0032] The score calculation information 50B includes calculation formulas used when calculating each element of the regional traffic score from the related data. Examples of each element of this regional traffic score include, for example, transport efficiency, operation rate, accuracy, utilization rate, public transportation coverage rate, etc. The regional traffic score of transport efficiency is calculated, for example, according to the cost (fuel), amount of carbon dioxide, etc. required to move a user a predetermined distance (e.g., 1 km). The regional traffic score of the operation rate is calculated, for example, according to the operation frequency per a predetermined period (e.g., 1 day). The regional traffic score of accuracy is calculated, for example, according to the accuracy of the departure time and arrival time (less delay). The regional traffic score of the utilization rate is calculated, for example, according to the boarding rate of the transportation means (number of users / number of transportable people). The public transportation coverage rate is calculated, for example, according to the operation area (region) of the public transportation in the region.

[0033] The traffic policy-related information 50C includes the relevance (strength) of each element of the regional traffic score for each traffic policy. The higher the relevance, which is a numerical value ranging from -1.00 to 1.00, the stronger the relationship (connection) between the traffic policy and each element of the regional traffic score. Examples of such traffic policies include free day settings, increased railway lines, increased bus lines, and elevated tracks. Also, for example, if the relevance between a certain traffic policy and the first element of the regional traffic score is a positive value, implementing the traffic policy will increase the score value of the first element. Conversely, if the relevance between a certain traffic policy and the second element of the regional traffic score is a negative value, implementing the traffic policy will decrease the score value of the second element.

[0034] The policy objective-related information 50D includes the relevance (strength) of each element of the regional traffic score for each policy objective. The higher the relevance, which is a numerical value ranging from -1.00 to 1.00, the stronger the relationship (connection) between the policy objective and each element of the regional traffic score. Examples of such policy objectives include employment support, education support, hospital visit / nursing care support, promotion of going out, tourism promotion, environmental contribution, infrastructure improvement, etc. Also, for example, if the relevance between a certain policy objective and the first element of the regional traffic score is a positive value, implementing the policy objective will increase the score value of the first element. Conversely, if the relevance between a certain policy objective and the second element of the regional traffic score is a negative value, implementing the policy objective will decrease the score value of the second element.

[0035] The user information 50E includes each user's user ID, login ID, password, user name, affiliated organization, proposed region, etc. The affiliated organization includes, for example, the organization name and job position. The proposed region includes the region where the user receives proposals, which is, for example, pre-registered by the user.

[0036] The reception means 52 is a functional means for receiving various requests (for example, selection input) from the terminal device 12 held by the user. In the present embodiment, the reception means 52 receives an extraction request for extracting regional traffic measures, which includes an extraction request including a policy target corresponding to any element of the regional traffic score. For example, the reception means 52 receives a selection input of policy targets such as employment support, education support, medical visit / nursing care support, etc. from the terminal device 12 as an extraction request.

[0037] The acquisition means 54 is a functional means for acquiring various data. In the present embodiment, the acquisition means 54 acquires at least data related to regional transportation means (related data). For example, the acquisition means 54 acquires these data at a predetermined timing (for example, the timing when the user logs in, etc.). The acquisition means 54 stores the acquired data in the related data 50A as related data. In addition, the acquisition means 54 may automatically collect related data from external big data by means of AI functions, etc. Note that the related data may include information related to regional facilities, terrain, population, etc.

[0038] The calculation means 56 is a functional means for associating each element of the regional traffic score with a plurality of traffic measures and policy targets, or calculating the score value of each such element. In the present embodiment, the calculation means 56 calculates the score value corresponding to each element of the regional traffic score that is respectively associated with a plurality of traffic measures according to the related data 50A. For example, the calculation means 56 refers to the related data 50A and the score calculation information 50B to calculate the score values of each element (transportation efficiency, operation rate, accuracy, utilization rate, public transportation coverage rate, etc.) of the regional traffic score. The score value of each such element is, for example, a value between 0 and 100.

[0039] Subsequently, the calculation means 56 refers to the transportation policy-related information 50C and associates each element of the regional transportation score with a plurality of transportation policies respectively. For example, when the value indicating the relevance between the first element of the regional transportation score and a certain transportation policy is "greater than -0.01 and less than 0.01", the calculation means 56 does not associate the first element of the regional transportation score with a certain transportation policy. On the other hand, for example, when the value indicating the relevance between the second element of the regional transportation score and a certain transportation policy is "-0.01 or less" or "0.01 or more", the calculation means 56 associates the second element of the regional transportation score with a certain transportation policy.

[0040] Also, in the present embodiment, the calculation means 56 refers to the policy objective-related information 50D and associates each element of the regional transportation score with a plurality of policy objectives respectively. For example, when the value indicating the relevance between the first element of the regional transportation score and a certain policy objective is "greater than -0.01 and less than 0.01", the calculation means 56 does not associate the first element of the regional transportation score with a certain policy objective. On the other hand, for example, when the value indicating the relevance between the second element of the regional transportation score and a certain policy objective is "-0.01 or less" or "0.01 or more", the calculation means 56 associates the second element of the regional transportation score with a certain policy objective.

[0041] FIG. 4 is a diagram showing an example of the correspondence relationship between each element of the regional transportation score, transportation policies, and policy objectives.

[0042] As shown in the data correspondence relationship 70 in FIG. 4, each element (transportation efficiency, operation rate, accuracy, utilization rate, public transportation coverage rate, etc.) of the regional transportation score is associated with transportation policies and policy objectives respectively. For example, the transportation cost, which is an element of the regional transportation score, is associated with free data setting, increase in railway lines, increase in bus lines, line elevation, etc. among the transportation policies. Also, for example, the operation rate, which is an element of the regional transportation score, is associated with employment support, education support, hospital visit / nursing care support, promotion of going out, tourism promotion, environmental contribution, infrastructure improvement, etc. among the policy objectives.

[0043] Returning to FIG. 3, the extraction means 58 is a functional means for extracting various information. In the present embodiment, the extraction means 58 extracts the regional traffic policy based on the regional traffic score. For example, the extraction means 58 preferentially extracts traffic policies that are associated with elements having low score values among the elements of the regional traffic score and that improve the score values. Specifically, the extraction means 58 extracts traffic policies (for example, free data setting, elevated railway) that are associated with the element having the lowest score value (for example, accuracy) among the elements of the regional traffic score. Subsequently, the extraction means 58 preferentially extracts traffic policies (for example, elevated railway) among the extracted traffic policies, in which the relevance between the element and the traffic policy is a positive value or a value equal to or greater than a certain value. Thereby, for example, regardless of whether or not an extraction request including a policy target is received by the user, it is possible to extract (output) a traffic policy that can improve the score value corresponding to the element.

[0044] Also, in the present embodiment, the extraction means 58 extracts the regional traffic policy based on the element of the regional traffic score associated with the policy target included in the extraction request received by the reception means 52. For example, the extraction means 58 refers to the policy target related information 50D and extracts the element (for example, transport efficiency, operation rate, accuracy, utilization rate, public transport coverage rate) of the regional traffic score associated with the policy target (for example, tourism promotion) included in the extraction request, in which the relevance with the policy target (for example, tourism promotion) is the highest (for example, utilization rate). Subsequently, the extraction means 58 extracts traffic policies (for example, free data setting, increase in railway lines, increase in bus lines, elevated railway) that are associated with the element (for example, utilization rate), in which the relevance between the element and the traffic policy is a positive value or a value equal to or greater than a certain value (for example, free data setting).

[0045] The output means 60 is a functional means for outputting various information to the terminal device 12. In the present embodiment, the output means 60 outputs information (proposal screen) indicating the regional traffic policy extracted by the extraction means 58 to the terminal device 12.

[0046] <Flow of traffic policy proposal process> FIG. 5 is a flowchart showing an example of the flow of processing for proposing regional traffic policies in the proposed system 1 according to the present embodiment. Further, the processing of the following steps is started, for example, at the timing when the user selects the traffic policy proposal menu after logging in to the proposed system 1. Note that the order and content of the following steps can be changed as appropriate.

[0047] (Step SP10) The acquisition means 54 refers to the proposed area of the user information 50E and acquires data related to the transportation means in the area for which the traffic policy is to be proposed. Subsequently, the acquisition means 54 stores the acquired data in the related data 50A as related data. Then, the process proceeds to the process of step SP12.

[0048] (Step SP12) The calculation means 56 refers to the related data 50A and the score calculation information 50B, and calculates the score values of the elements (transportation efficiency, operation rate, accuracy, utilization rate, public transportation coverage rate, etc.) of the regional traffic score. Subsequently, the calculation means 56 refers to the traffic policy related information 50C and associates each element of the regional traffic score with a plurality of traffic policies. Subsequently, the calculation means 56 refers to the policy target related information 50D and associates each element of the regional traffic score with a plurality of policy targets. Then, the process proceeds to the process of step SP14.

[0049] (Step SP14) The output means 60 outputs (displays) a selection screen on the terminal device 12 possessed by the user, which enables selection of policy targets necessary for extracting the regional traffic policy.

[0050] FIG. 6 is a diagram showing an example of the selection screen 80 according to the present embodiment.

[0051] As shown in FIG. 6, the selection screen 80 is provided with a policy target selection area 82 and a proposal start button 84. In the policy target selection area 82, a drop-down menu for selecting one policy target from a plurality of policy targets is presented. Note that in the policy target selection area 82, it may be possible to select a plurality of policy targets. The proposal start button 84 is a button for giving an instruction to start the proposal of traffic measures according to the selected policy target.

[0052] Returning to FIG. 5, the process proceeds to the process of step SP16.

[0053] (Step SP16) The reception means 52 receives an extraction request for extracting regional traffic measures. For example, when the reception means 52 receives a selection of a policy target from the user on the selection screen and then the proposal start button is pressed, the reception means 52 receives the extraction request. Then, the process proceeds to the process of step SP18.

[0054] (Step SP18) The extraction means 58 determines whether the policy target (for example, employment support) selected by the user in step SP16 is associated with an element of the regional traffic score. For example, the extraction means 58 affirms the determination when the selected policy target is associated with any one or more elements of the regional traffic score in step SP12. And when the determination is an affirmative determination, the process proceeds to the process of step SP20. On the other hand, when the determination is a negative determination, the process ends the series of processes shown in FIG. 5. Note that in this case, the output means 60 may output (display) to the terminal device 12 held by the user that it is impossible to propose traffic measures.

[0055] (Step SP20) The extraction means 58 refers to the policy target related information 50D and extracts the element (for example, public transport coverage rate) that has the highest relevance to the selected policy target among the elements of the regional traffic score associated with the selected policy target. Then, the process proceeds to the process of step SP22.

[0056] (Step SP22) With reference to the transportation policy-related information 50C, the extraction means 58 extracts transportation policies (e.g., increase in railway lines, increase in bus lines) associated with the elements of the regional transportation score (e.g., public transportation coverage rate) extracted in step SP20, and among these transportation policies, it extracts those transportation policies (e.g., increase in bus lines) whose relevance between the element and the transportation policy is equal to or greater than a certain value. Then, the process proceeds to the process of step SP24.

[0057] (Step SP24) The output means 60 outputs (displays) a transportation policy proposal screen to the terminal device 12 possessed by the user.

[0058] FIG. 7 is a diagram showing an example of a transportation policy proposal screen 90 according to the present embodiment.

[0059] As shown in FIG. 7, the proposal screen 90 is provided with a proposal information area 92 and a completion button 94. In the proposal information area 92, the transportation policies extracted in step SP22 are represented. The completion button 94 is a button for closing the proposal screen 90 and giving an instruction to return to the transportation policy proposal menu.

[0060] Then, the process ends the series of processes shown in FIG. 5.

[0061] (Specific Example 2) In the above-described specific example 1, the proposal system 1 described the case of proposing regional transportation policies, but it may also propose regional policy goals.

[0062] For example, the reception means 52 receives, as an extraction request for extracting a regional policy goal, an extraction request including a transportation policy corresponding to any one of the elements of the regional transportation score. For example, the reception means 52 receives, from the terminal device 12, a selection input of transportation policies such as free data setting, increase in railway lines, increase in bus lines, etc. as an extraction request.

[0063] Also, for example, the extraction means 58 extracts the regional policy goals based on the score values corresponding to each element of the regional traffic score. For example, the extraction means 58 preferentially extracts the policy goals associated with the elements having low score values among the elements of the regional traffic score and that can improve the score values. Specifically, the extraction means 58 extracts the policy goals (for example, employment support, education support, hospital visit / nursing care support, environmental contribution, infrastructure improvement) associated with the element having the lowest score value (for example, accuracy) among the elements of the regional traffic score. Subsequently, the extraction means 58 preferentially extracts the policy goals (for example, infrastructure improvement) among the extracted policy goals whose relevance between the element and the policy goal is a positive value or a value equal to or greater than a certain value. Thereby, for example, regardless of whether an extraction request including traffic measures is received by the user, it is possible to extract (output) the policy goals that can improve the score value corresponding to the element.

[0064] Also, the extraction means 58 extracts the regional policy goals based on the elements of the regional traffic score associated with the traffic measures included in the extraction request received by the reception means 52. For example, the extraction means 58 refers to the traffic measure-related information 50C and extracts the element (for example, utilization rate) having the highest relevance to the traffic measure (for example, free data setting) among the elements (for example, transport efficiency, accuracy, utilization rate) of the regional traffic score associated with the traffic measure (for example, free data setting) included in the extraction request. Subsequently, the extraction means 58 extracts the policy goals (for example, employment support, education support, hospital visit / nursing care support, promotion of going out, promotion of tourism, environmental contribution) associated with the element (for example, utilization rate) among which the relevance between the element and the policy goal is a positive value or a value equal to or greater than a certain value (for example, promotion of going out, promotion of tourism).

[0065] Also, the output means 60 outputs the information indicating the extracted regional policy goals. For example, the output means 60 outputs the information (proposal screen) indicating the regional policy goals extracted by the extraction means 58 to the terminal device 12.

[0066] <Flow of Policy Goal Proposal Process> FIG. 8 is a flowchart showing an example of the flow of processing for proposing regional policy goals in the proposed system 1 according to this embodiment. Further, the processing of the following steps is started, for example, at the timing when the user selects the policy goal proposal menu after logging in to the proposed system 1. Note that the order and content of the following steps can be changed as appropriate.

[0067] (Steps SP30 to SP32) Since the processing of steps SP30 to SP32 is the same as the processing of steps SP10 to SP12 described above, the description thereof is omitted. Then, the processing proceeds to the processing of step SP34.

[0068] (Step SP34) The output means 60 causes the terminal device 12 possessed by the user to output (display) a selection screen that enables selection of traffic measures necessary for extracting regional policy goals.

[0069] FIG. 9 is a diagram showing an example of the selection screen 100 according to this embodiment.

[0070] As shown in FIG. 9, the selection screen 100 is provided with a traffic measure selection area 102 and a proposal start button 104. In the traffic measure selection area 102, a pull-down menu for selecting one traffic measure from a plurality of traffic measures is represented. Note that in the traffic measure selection area 102, it may be possible to select a plurality of traffic measures. The proposal start button 104 is a button for giving an instruction to start proposing policy goals based on the selected traffic measure.

[0071] Returning to FIG. 8, the processing proceeds to the processing of step SP36.

[0072] (Step SP36) The reception means 52 receives an extraction request for extracting the regional policy goals. For example, when the user selects a traffic policy on the selection screen and then presses the proposal start button, the reception means 52 receives the extraction request. Then, the process proceeds to the process of step SP38.

[0073] (Step SP38) The extraction means 58 determines whether the traffic policy (for example, free data setting) selected by the user in step SP36 is associated with an element of the regional traffic score. For example, if the selected traffic policy is associated with any element (one or more elements) of the regional traffic score in step SP32, the extraction means 58 affirms the determination. When the determination is an affirmative determination, the process proceeds to the process of step SP40. On the other hand, when the determination is a negative determination, the process ends the series of processes shown in FIG. 8. In this case, the output means 60 may output (display) to the terminal device 12 held by the user that it is impossible to propose the policy goal.

[0074] (Step SP40) The extraction means 58 refers to the traffic policy-related information 50C and extracts the element (for example, utilization rate) of the regional traffic score that is most related to the selected traffic policy among the elements associated with the selected traffic policy. Then, the process proceeds to the process of step SP42.

[0075] (Step SP42) The extraction means 58 extracts the policy goals (for example, employment support, education support, hospital visit / nursing care support, promotion of going out, promotion of tourism, environmental contribution) that are associated with the element (for example, utilization rate) of the regional traffic score extracted in step SP40 and whose relevance to the element and the policy goal is equal to or greater than a certain value (for example, promotion of going out, promotion of tourism). Then, the process proceeds to the process of step SP44.

[0076] (Step SP44) The output means 60 causes the terminal device 12 possessed by the user to output (display) the policy target proposal screen.

[0077] FIG. 10 is a diagram showing an example of the policy target proposal screen 110 according to the present embodiment.

[0078] As shown in FIG. 10, the proposal screen 110 is provided with a proposal information area 112 and a completion button 114. The policy targets extracted in step SP42 are represented in the proposal information area 112. The completion button 114 is a button for closing the proposal screen 110 and giving an instruction to return to the policy target proposal menu.

[0079] Then, the process ends the series of processes shown in FIG. 8.

[0080] <Effect> As described above, in the present embodiment, the computer is caused to function as an acquisition means 54 for acquiring at least related data regarding the transportation means in the region, a calculation means 56 for calculating a score value corresponding to each element of the regional transportation score associated with each of a plurality of transportation measures according to the related data, an extraction means 58 for extracting the transportation measures in the region based on the score values corresponding to each element of the regional transportation score, and an output means 60 for outputting information indicating the extracted transportation measures in the region.

[0081] According to this configuration, since information indicating the transportation measures in the region can be output based on the regional transportation score according to the related data regarding the transportation means in the region, it is possible to propose transportation measures taking into account the circumstances of each region.

[0082] Also, in the present embodiment, the extraction means 58 preferentially extracts transportation measures associated with elements having low score values among the elements of the regional transportation score and that improve the score values.

[0083] According to this configuration, among the elements of the regional traffic score, traffic measures for improving low score values can be preferentially output, so that traffic measures can be proposed based on the circumstances of each region.

[0084] Also, in this embodiment, the computer is made to function as a receiving means 52 that receives an extraction request including a policy target corresponding to any one of the elements of the regional traffic score as an extraction request for extracting the regional traffic measures. The extraction means 58 extracts the regional traffic measures based on the elements of the regional traffic score associated with the policy target included in the received extraction request.

[0085] According to this configuration, since the regional traffic measures can be output based on the elements of the regional traffic score associated with the policy target included in the extraction request, traffic measures can be proposed based on the circumstances of each region.

[0086] Also, in this embodiment, the computer is made to function as an acquisition means 54 that acquires at least related data regarding the regional transportation means, a calculation means 56 that calculates score values corresponding to the respective elements of the regional traffic score respectively associated with a plurality of policy targets according to the related data, an extraction means 58 that extracts the regional policy targets based on the score values corresponding to the respective elements of the regional traffic score, and an output means 60 that outputs information indicating the extracted regional policy targets.

[0087] According to this configuration, since information indicating the regional policy targets can be output based on the regional traffic score corresponding to the related data regarding the regional transportation means, policy targets can be proposed based on the circumstances of each region.

[0088] Also, in this embodiment, the extraction means 58 preferentially extracts policy targets that are associated with elements having low score values among the respective elements of the regional traffic score and that improve the score values.

[0089] According to this configuration, among the elements of the regional traffic score, it is possible to preferentially output the policy objectives for improving the elements with low score values, so that it is possible to propose policy objectives based on the circumstances of each region.

[0090] Also, in the present embodiment, the computer is made to function as a receiving means 52 that receives an extraction request including a traffic measure corresponding to any element of the regional traffic score as an extraction request for extracting the regional policy objective, and the extraction means 58 extracts the regional policy objective based on the element of the regional traffic score associated with the traffic measure included in the received extraction request.

[0091] According to this configuration, since it is possible to output the regional policy objective based on the element of the regional traffic score associated with the traffic measure included in the extraction request, it is possible to propose a policy objective based on the circumstances of each region.

[0092] <Modification Example> Note that the present invention is not limited to the above-described embodiment. That is, those obtained by appropriately making design changes to the above-described embodiment by those skilled in the art are also included in the scope of the present invention as long as they have the features of the present invention. In addition, each element included in the above-described embodiment and the modification example described later can be combined as much as technically possible, and those obtained by combining these are also included in the scope of the present invention as long as they include the features of the present invention.

[0093] For example, in the above-described embodiment, the extraction means 58 has been described as preferentially extracting a traffic measure associated with an element having a low score value among the elements of the regional traffic score and improving the score value, but it is not limited to this. For example, the extraction means 58 may preferentially extract a traffic measure that worsens the score value. In this case, the output means 60 may propose not to perform the extracted traffic measure.

[0094] In the above embodiment, the extraction means 58 has been described as preferentially extracting policy goals associated with elements having low score values among the elements of the regional traffic score and that improve the score values. However, the present invention is not limited to this. For example, the extraction means 58 may preferentially extract policy goals that worsen the score values. In this case, the output means 60 may propose not to implement the extracted policy goals.

[0095] In the above embodiment, the extraction means 58 has been described as extracting the element of the regional traffic score most highly related to the policy goal among the elements of the regional traffic score associated with the policy goal included in the extraction request. However, a plurality of elements highly related to the policy goal may be extracted.

[0096] In the above embodiment, the extraction means 58 has been described as extracting the element of the regional traffic score most highly related to the traffic measure among the elements of the regional traffic score associated with the traffic measure included in the extraction request. However, a plurality of elements highly related to the traffic measure may be extracted.

Explanation of Signs

[0097] 10... Server device (computer) 12... Terminal device 50... Storage means 52... Reception means 54... Acquisition means 56... Calculation means 58... Extraction means 60... Output means

Claims

1. A computer, an acquisition means for acquiring at least related data on regional transportation means, a calculation means for calculating score values corresponding to respective elements of a regional transportation score associated with a plurality of transportation policies according to the related data, an extraction means for extracting the transportation policies of the region based on the score values corresponding to the respective elements of the regional transportation score, an output means for outputting information indicating the extracted transportation policies of the region, functioning as, a program.

2. Among the respective elements of the regional transportation score, the extraction means preferentially extracts transportation policies associated with elements having low score values and capable of improving the score values. The program according to Claim 1.

3. A computer, a reception means for receiving, as an extraction request for extracting the transportation policies of the region, an extraction request including a policy target corresponding to any element of the regional transportation score, functioning as, wherein the extraction means extracts the transportation policies of the region based on the elements of the regional transportation score associated with the policy target included in the received extraction request. The program according to Claim 2.

4. A computer, an acquisition means for acquiring at least related data on regional transportation means, a calculation means for calculating score values corresponding to respective elements of a regional transportation score associated with a plurality of policy targets according to the related data, an extraction means for extracting the policy targets of the region based on the score values corresponding to the respective elements of the regional transportation score, an output means for outputting information indicating the extracted policy targets of the region, functioning as, a program.

5. Among the respective elements of the regional transportation score, the extraction means preferentially extracts policy targets associated with elements having low score values and capable of improving the score values. The program according to Claim 4.

6. A computer, a reception means for receiving, as an extraction request for extracting the policy targets of the region, an extraction request including a transportation policy corresponding to any element of the regional transportation score, functioning as, wherein the extraction means extracts the policy targets of the region based on the elements of the regional transportation score associated with the transportation policy included in the received extraction request. The program according to Claim 5.

7. an acquisition means for acquiring at least related data on regional transportation means, and Calculation means for calculating score values corresponding to respective elements of a regional traffic score respectively associated with a plurality of traffic measures according to the associated data; Extraction means for extracting the traffic measures of the region based on the score values corresponding to the respective elements of the regional traffic score; Output means for outputting information indicating the traffic measures of the region extracted; Comprising; An information processing apparatus.

8. Acquisition means for acquiring at least associated data regarding the traffic means of a region; Calculation means for calculating score values corresponding to respective elements of a regional traffic score respectively associated with a plurality of policy objectives according to the associated data; Extraction means for extracting the policy objectives of the region based on the score values corresponding to the respective elements of the regional traffic score; Output means for outputting information indicating the policy objectives of the region extracted; Comprising; An information processing apparatus.

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