WO2023139858A1 - Information processing method, program, and information processing system - Google Patents

Information processing method, program, and information processing system Download PDF

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Publication number
WO2023139858A1
WO2023139858A1 PCT/JP2022/038439 JP2022038439W WO2023139858A1 WO 2023139858 A1 WO2023139858 A1 WO 2023139858A1 JP 2022038439 W JP2022038439 W JP 2022038439W WO 2023139858 A1 WO2023139858 A1 WO 2023139858A1
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behavior
target user
decarbonization
information processing
change
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PCT/JP2022/038439
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French (fr)
Japanese (ja)
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幸太郎 坂田
理佐子 谷川
直美 富山
義和 岩井
基司 大森
哲司 渕上
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パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカ
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Publication of WO2023139858A1 publication Critical patent/WO2023139858A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"

Definitions

  • the present disclosure relates to an information processing method, a program, and an information processing system.
  • Patent Document 1 discloses a technology that predicts the amount of renewable energy power supply from weather information, and performs dynamic pricing for power charges to be provided to vehicles based on the supply and demand balance.
  • the present disclosure provides an information processing method and the like that can encourage users to change their behavior so as to contribute to decarbonization.
  • the information processing method is an information processing method executed by a computer, and includes a process of acquiring behavior data indicating behavior of a target user, determining decarbonization behavior modification information that encourages the target user to change behavior leading to decarbonization based on the obtained behavior data of the target user, and outputting the determined decarbonization behavior modification information.
  • FIG. 4 is a flow chart showing an example of an information processing method according to an embodiment; It is a table which shows an example of the correspondence of a target user's action data and decarbonization behavior change information. 4 is a flow chart showing a specific example of an information processing method according to the embodiment;
  • An information processing method is an information processing method executed by a computer, and includes a process of acquiring behavior data indicating behavior of a target user, determining decarbonization behavior modification information that encourages behavior modification leading to decarbonization to the target user based on the obtained behavior data of the target user, and outputting the determined decarbonization behavior modification information.
  • the decarbonization behavior change information which is determined based on the behavior data such as the history of the behavior of the target user and encourages the target user to change their behavior leading to decarbonization, is output.
  • the decarbonized behavior modification information may include a means of transportation leading to decarbonization rather than the means of transportation indicated by the behavior data of the target user.
  • the means of transportation leading to decarbonization may include train, walking or carpooling.
  • the characteristics of behavioral change of the target user prompted to change behavior leading to decarbonization may be analyzed, an incentive to be given to the target user may be determined based on the analyzed characteristics, and the determined incentive may be output. For example, in determining the incentive, if the characteristic analyzed indicates that there was no change in behavior leading to the decarbonization, a greater incentive may be determined than if the characteristic analyzed indicates that there was a change in behavior leading to the decarbonization.
  • the attribute information of the target user is further acquired, and in determining the decarbonized behavior change information, the decarbonized behavior change information may be determined based on the acquired behavior data of the target user and the acquired attribute information of the target user.
  • the decarbonized behavior change information may be determined using the target user's attribute information (age, gender, average number of steps per day, etc.). For example, if the target user's attribute information indicates that he or she has physical strength, it is possible to encourage walking as a means of transportation.
  • the target user's attribute information indicates that he or she has physical strength, it is possible to encourage walking as a means of transportation.
  • environmental data on the movement route of the target user may be further acquired, and in determining the decarbonized behavior change information, the decarbonized behavior change information may be determined based on the acquired behavior data and environmental data of the target user.
  • environmental data may also be used to determine decarbonization behavior change information. For example, when the weather is bad, it is possible to discourage walking as a means of transportation.
  • action data indicating actions of a plurality of users and environment data on the movement route of the target user may be acquired, and based on the acquired action data of the plurality of users and the environment data, demand for one or more means of transportation on the movement route may be predicted, based on the predicted demand, people flow distribution behavior modification information may be determined that encourages the target user to change behavior leading to people flow distribution, and the determined people flow distribution behavior modification information may be output.
  • the people flow distribution behavior change information that is determined based on the demand and encourages the target user to change the behavior that leads to the distribution of people flow is output, it is possible to not only encourage the target user to change the behavior so as to contribute to decarbonization, but also to encourage the target user to change the behavior so as to contribute to the distribution of the people flow.
  • the people flow distribution behavior change information may include a travel time period that leads to more people flow distribution than the travel time period indicated by the behavior data of the target user.
  • a program according to one aspect of the present disclosure is a program that causes a computer to execute the above information processing method.
  • An information processing system includes an acquisition unit that acquires behavior data indicating behavior of a target user, a determination unit that determines decarbonization behavior modification information that encourages the target user to change behavior that leads to decarbonization based on the acquired behavior data of the target user, and an output unit that outputs the determined decarbonization behavior modification information.
  • FIG. 1 is a diagram showing an example of an information processing system 10 according to an embodiment.
  • the information processing system 10 is a system that encourages the user to change their movement-related behavior. Specifically, it is a system that encourages the user to change their behavior leading to decarbonization.
  • a user who is encouraged to change behavior leading to decarbonization is referred to as a target user.
  • Actions that lead to decarbonization are actions that emit less carbon dioxide, for example, actions that use energy-saving means of transportation.
  • the information processing system 10 includes an acquisition unit 11 , an analysis unit 12 , a prediction unit 13 , a determination unit 14 and an output unit 15 .
  • the information processing system 10 is a computer including a processor, communication interface, memory, and the like.
  • the memory is ROM (Read Only Memory), RAM (Random Access Memory), etc., and can store programs executed by the processor.
  • Acquisition unit 11, analysis unit 12, prediction unit 13, determination unit 14, and output unit 15 are realized by a processor or the like that executes a program stored in memory.
  • the acquisition unit 11 and the output unit 15 transmit and receive information to and from other devices via a communication interface.
  • the information processing system 10 is, for example, a computer such as a server. It should be noted that the components constituting the information processing system 10 may be distributed and arranged in a plurality of servers (computers).
  • the acquisition unit 11 acquires behavior data indicating the behavior of the target user.
  • the action data is, for example, the target user's action history or action schedule.
  • the acquisition unit 11 acquires action data indicating actions of a plurality of users.
  • the acquisition unit 11 acquires environmental data on the moving route to the destination of the target user.
  • the environmental data is, for example, the weather, temperature, or the like along the travel route to the destination of the target user.
  • the acquisition unit 11 acquires the attribute information of the target user.
  • the attribute information is, for example, information indicating whether or not the target user has physical strength, such as age, gender, and average number of steps per day. Details of the operation of the acquisition unit 11 will be described later.
  • the analysis unit 12 analyzes the characteristics of the change in behavior of the target user who was prompted to change the behavior leading to decarbonization. Details of the operation of the analysis unit 12 will be described later.
  • the prediction unit 13 predicts demand for one or more means of transportation on the movement route of the target user based on the behavior data and environment data of multiple users acquired by the acquisition unit 11 . Details of the operation of the prediction unit 13 will be described later.
  • the determination unit 14 determines decarbonization behavior change information that encourages the target user to change behavior leading to decarbonization. In addition, the determination unit 14 determines incentives to be given to the target user based on the characteristics of behavioral change of the target user who is encouraged to change behavior leading to decarbonization, which are analyzed by the analysis unit 12. In addition, the determination unit 14 determines people flow distribution behavior change information that encourages the target user to change behavior that leads to distribution of people flow, based on the demand for one or more transportation means on the movement route of the target user predicted by the prediction unit 13. Details of the operation of the determination unit 14 will be described later.
  • the output unit 15 outputs the decarbonization behavior change information determined by the determination unit 14 . Also, the output unit 15 outputs the incentive determined by the determination unit 14 . The output unit 15 also outputs the people flow distribution behavior change information determined by the determination unit 14 . Details of the operation of the output unit 15 will be described later.
  • FIG. 2 is a flowchart showing an example of an information processing method according to the embodiment. Since the information processing method is a method executed by the information processing system 10 (computer), FIG. 2 is also a flowchart showing an example of the operation of the information processing system 10 .
  • the acquisition unit 11 acquires behavior data indicating the behavior of the target user, attribute information of the target user, and environmental data on the movement route of the target user (step S11).
  • the information processing system 10 may cooperate with a ticket reservation system or the like, and the acquisition unit 11 may acquire the target user's ticket purchase history from the ticket reservation system or the like, and may acquire, as action data, an action history indicating from where to where the target user has moved using a means of transportation such as an airplane or Shinkansen.
  • a means of transportation such as an airplane or Shinkansen.
  • the information processing system 10 may cooperate with a taxi dispatch system or the like, and the acquisition unit 11 may acquire the target user's taxi usage history from the taxi dispatch system or the like, and may acquire, as action data, an action history indicating from where to where the target user traveled by using a taxi.
  • the information processing system 10 may cooperate with a route search system or the like, and the acquisition unit 11 may acquire the target user's route search history from the route search system or the like, and may acquire, as action data, an action history indicating from where to where the target user has traveled using a means of transportation such as a train or bus.
  • the information processing system 10 may communicate with a mobile terminal or the like possessed by the target user, and the acquisition unit 11 may acquire the target user's position information, number of steps, etc. from the target user's mobile terminal or the like, and may acquire an action history indicating where to where the target user has moved on foot as action data.
  • the information processing system 10 may communicate with a car or the like owned by the target user, and the acquisition unit 11 may acquire position information or the like from the target user's car or the like, and may acquire an action history indicating from where to where the target user traveled by car as action data.
  • the group to which the target user belongs may be registered in advance, and the action history indicating whether the target user travels in different cars when moving toward the same destination as the people in the same group may be acquired as action data.
  • the information processing system 10 may cooperate with a scheduler or the like used by the target user, and the acquisition unit 11 may acquire the target user's action schedule as action data from the scheduler or the like.
  • the acquisition unit 11 acquires action data indicating actions of a plurality of users. That is, the acquiring unit 11 acquires behavior data of a plurality of users in the same manner as the various behavior data of the target user described above.
  • the information processing system 10 may cooperate with a weather observation system or the like, and the acquisition unit 11 may acquire the weather or temperature along the movement route of the target user from the weather observation system or the like as environmental data.
  • the target user's attribute information may be registered in the information processing system 10, and the acquisition unit 11 may acquire the registered target user's attribute information.
  • the analysis unit 12 analyzes the characteristics of the change in behavior of the target user who was prompted to change the behavior leading to decarbonization (step S12). Specifically, the analysis unit 12 analyzes whether the target user who was prompted to change the behavior leading to decarbonization performed the behavior leading to decarbonization. For example, after the output unit 15 outputs the decarbonization behavior change information that encourages the target user to change behavior that leads to decarbonization, based on the behavior data of the target user acquired by the acquisition unit 11, the analysis unit 12 can analyze whether the target user has taken a behavior that leads to decarbonization.
  • the prediction unit 13 predicts demand for one or more means of transportation on the movement route of the target user based on the action data and environment data of the multiple users acquired by the acquisition unit 11 (step S13). For example, the prediction unit 13 can predict when and what transportation means each of the plurality of users will use on the movement route of the target user from the action history or action schedule of the plurality of users, and can predict the demand for one or more transportation means on the movement route of the target user in various time periods. In addition, depending on the weather, temperature, or the like, the means of transportation used by each of the plurality of users and the time of day during which they move may change. Therefore, the prediction unit 13 can more accurately predict the demand by using environmental data such as weather or temperature along the travel route of the target user.
  • the determination unit 14 determines decarbonization behavior change information that encourages the target user to change behavior that leads to decarbonization, incentives to be given to the target user, and people flow distribution behavior change information that encourages the target user to change behavior that leads to population distribution (step S14).
  • the determination unit 14 determines decarbonization behavior change information based on the target user's behavior data acquired by the acquisition unit 11 .
  • the decarbonized behavior change information includes means of transportation leading to decarbonization rather than the means of transportation indicated by the behavior data of the target user.
  • modes of transportation that lead to decarbonization include trains, walking, or carpooling.
  • the determination unit 14 can recognize from the behavior history of the target user what kind of transportation means the target user usually uses to move, and can determine decarbonization behavior change information that encourages movement by means of transportation that leads to more decarbonization (energy-saving transportation means).
  • the determination unit 14 may determine the decarbonization behavior change information that encourages the target user to travel by Shinkansen if he/she usually travels by airplane in a certain section. Further, for example, the determination unit 14 may determine the decarbonized behavior change information that encourages the target user to walk on foot for a longer section when the target user usually walks for a certain section.
  • the determination unit 14 may determine the decarbonized behavior change information based on the target user's behavior data and the target user's attribute information acquired by the acquisition unit 11 . For example, if the target user's attribute information indicates that he or she has physical strength, it is possible to encourage walking as a means of transportation.
  • the determination unit 14 may determine decarbonization behavior change information using a table such as that shown in FIG.
  • FIG. 3 is a table showing an example of the correspondence relationship between the target user's behavior data and decarbonized behavior change information.
  • the left side of FIG. 3 shows the behavior (action history) indicated by the behavior data of the target user, and the right side of FIG. 3 shows the decarbonization behavior prompted by the target user according to the decarbonization behavior modification information.
  • decarbonization behavior change information that encourages them to travel from Tokyo to Shin-Osaka by Shinkansen is determined.
  • the decarbonization behavior change information is determined to encourage the user to travel from Shin-Osaka to A station in Osaka city by train.
  • decarbonization behavior change information that encourages the user to move from Shin-Osaka to Station A on foot is determined.
  • decarbonization behavior change information that encourages the user to walk from stop B to station C is determined.
  • decarbonized behavior change information that encourages the user to walk from home to station D is determined.
  • the first predetermined distance, the second predetermined distance, and the third predetermined distance may be predetermined distances, or may be distances determined based on the target user's attribute information (for example, information indicating whether the target user has physical strength). For example, for a target user with physical strength, the first predetermined distance, the second predetermined distance, and the third predetermined distance may be determined to be long.
  • the table as shown in FIG. 3 may differ for each target user. This is because the acceptability of behavioral change differs from person to person. For example, by grasping the current behavior of the target user from the behavior data of the target user, decarbonized behavior modification information that encourages behavior modification that the target user is likely to implement with a little effort may be determined. At that time, attribute information of the target user may be used.
  • the determining unit 14 may determine decarbonized behavioral change information based on the target user's behavior data and environmental data acquired by the acquiring unit 11 . For example, when the weather is bad, it is possible to discourage walking as a means of transportation.
  • the determination unit 14 determines incentives based on the characteristics of the behavioral change of the target user who is encouraged to change the behavior leading to decarbonization, which is analyzed by the analysis unit 12 .
  • the content of the incentive is not particularly limited, but may be points that can be used for various services. For example, when the analyzed characteristics indicate that there was no change in behavior leading to decarbonization, the determining unit 14 determines a larger incentive than when the analyzed characteristics indicate that there was a change in behavior leading to decarbonization. In other words, the determining unit 14 determines a large incentive for the target user who is not positive about decarbonization, in order to make the target user take actions leading to decarbonization.
  • the determination unit 14 determines people flow distribution behavior change information based on the demand for one or more means of transportation on the target user's movement route predicted by the prediction unit 13 .
  • the determination unit 14 can estimate the flow of people along the travel route based on the demand for a travel means predicted based on the behavior data such as the action history of a plurality of users and the environmental data such as the weather along the travel route to the destination of the target user.
  • the people flow divergence behavior change information includes travel time periods leading to more people flow divergence than the travel time periods indicated by the target user's behavior data.
  • the determination unit 14 may determine the allowable degree of time change of the target user's action schedule based on the target user's action schedule acquired by the acquisition unit 11 . For example, if the target user's activity schedule is an activity for which time change is not permitted (shopping during a time sale, school lecture, etc.), the time change tolerance is low, and movement during travel time periods when there is little traffic may not be encouraged.
  • the output unit 15 outputs the decarbonization behavior change information, incentives, and crowd distribution behavior change information determined by the determination unit 14 (step S15).
  • Various types of information output from the output unit 15 are output to a device such as a mobile terminal or PC possessed by the target user, for example.
  • the target user confirms the decarbonization behavior change information via these devices, the target user is prompted to change behavior leading to decarbonization.
  • the incentive given to the target user via these devices the target user is more likely to take actions leading to decarbonization.
  • the target user confirms the people flow diversification behavior change information via these devices, the target user is prompted to change the behavior leading to the people flow diversification.
  • FIG. 4 is a flowchart showing a specific example of the information processing method (operation of the information processing system 10) according to the embodiment.
  • the information processing system 10 cooperates with the route search system, and when the target user uses the route search system to search for a route from his home to E station, he is encouraged to change his behavior leading to decarbonization.
  • the information processing system 10 presents a basic route from home to E station (a route from home to B stop on foot, from B stop to C station by bus, and from C station to E station by train) (step S101).
  • the target user can first confirm the basic route from his home to the E station.
  • the information processing system 10 determines whether or not the current behavior of the target user is movement along the basic route (step S102). As described above, the information processing system 10 can make the determination from the behavior data of the target user.
  • step S102 If the current behavior of the target user is movement on the basic route (Yes in step S102), the information processing system 10 determines whether or not the distance from stop B to station C is within a second predetermined distance (step S103).
  • the information processing system 10 cannot encourage a change in behavior leading to decarbonization from the current state, so the process ends.
  • step S103 If the distance from the B stop to the C station is within the second predetermined distance (Yes in step S103), the information processing system 10 suggests that the user should walk to his home to the C station and then travel from the C station to the E station by train (step S104). By moving the target user to his/her house on foot to C station, the movement by bus from B stop to C station becomes unnecessary, which may lead to decarbonization.
  • the information processing system 10 determines whether the current behavior of the target user is walking from home to station C (step S105).
  • step S105 the information processing system 10 ends the process because the current behavior of the target user is not the behavior assumed by the information processing system 10.
  • step S105 If the current behavior of the target user is walking from home to station C (step S105), the information processing system 10 determines whether or not station D next to station C is within a third predetermined distance from home (step S106).
  • the target user's current behavior is to move from home to C station on foot, and the target user is already engaged in behavior that leads to decarbonization, and it is not possible to encourage change in behavior that leads to decarbonization from the current situation, so the process ends.
  • step S106 information processing system 10 suggests that the user should walk to station D to their home and travel from station D to station E by train (step S107). In other words, behavioral changes that lead to further decarbonization than the current situation will be encouraged.
  • the target user moves to his/her house on foot to D station, the movement by bus from B stop to C station is prevented, and furthermore, the movement by train from C station to D station is also prevented, which can lead to decarbonization.
  • the decarbonization behavior change information that is determined based on the target user's behavior data such as the history of behavior of the target user and encourages the target user to change their behavior leading to decarbonization is output.
  • the target user's behavior data such as the history of behavior of the target user and encourages the target user to change their behavior leading to decarbonization
  • the target users by giving incentives to the target users, it becomes easier for the target users to take actions that lead to decarbonization.
  • action data such as the action history of a plurality of users and environmental data such as weather on the route to the destination of the target user, the demand for one or more means of transportation on the route can be predicted.
  • the people flow distribution behavior change information that is determined based on the demand and encourages the target user to change the behavior that leads to the distribution of people flow is output, it is possible to not only encourage the target user to change the behavior so as to contribute to decarbonization, but also to encourage the target user to change the behavior so as to contribute to the distribution of the people flow.
  • the target user's attribute information is acquired, and in determining the decarbonized behavior change information, the decarbonized behavior change information is determined based on the acquired target user's behavior data and the target user's attribute information.
  • these processes do not have to be performed.
  • the environment data on the target user's movement route is acquired, and in the determination of the decarbonized behavior change information, the decarbonized behavior change information is determined based on the acquired target user's action data and environmental data.
  • these processes do not have to be performed.
  • the behavior data indicating the behavior of a plurality of users and the environment data on the movement route of the target user are acquired, the demand for one or more means of transportation on the movement route is predicted based on the acquired behavior data and environment data of the plurality of users, and based on the predicted demand, the people flow distribution behavior modification information that encourages the target user to change behavior that leads to the distribution of people flow is determined, and the determined people flow distribution behavior modification information is output.
  • the present disclosure can be implemented as a program for causing a processor to execute the steps included in the information processing method.
  • the present disclosure can be implemented as a non-temporary computer-readable recording medium such as a CD-ROM recording the program.
  • each step is executed by executing the program using hardware resources such as the CPU, memory, and input/output circuits of the computer.
  • each step is executed by the CPU acquiring data from a memory, an input/output circuit, or the like, performing an operation, or outputting the operation result to the memory, an input/output circuit, or the like.
  • each component included in the information processing system 10 may be configured with dedicated hardware, or realized by executing a software program suitable for each component.
  • Each component may be realized by reading and executing a software program recorded in a recording medium such as a hard disk or a semiconductor memory by a program execution unit such as a CPU or processor.
  • a part or all of the functions of the information processing system 10 according to the above embodiment are typically implemented as an LSI, which is an integrated circuit. These may be made into one chip individually, or may be made into one chip so as to include part or all of them. Further, circuit integration is not limited to LSIs, and may be realized by dedicated circuits or general-purpose processors.
  • An FPGA Field Programmable Gate Array
  • a reconfigurable processor that can reconfigure the connections and settings of the circuit cells inside the LSI may be used.
  • the present disclosure also includes various modifications in which a person skilled in the art makes modifications to each embodiment of the present disclosure, as long as they do not deviate from the gist of the present disclosure.
  • the present disclosure can be applied to a route search system that searches for a route to a destination.

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Abstract

Provided is an information processing method including: acquiring behavioral data indicating behavior of a subject user (step S11); determining, on the basis of the acquired behavioral data on the subject user, decarbonization behavior change information encouraging the subject user to make behavioral changes that leads to decarbonization (step S14); and outputting the determined decarbonization behavior change information (step S15).

Description

情報処理方法、プログラム及び情報処理システムInformation processing method, program and information processing system
　本開示は、情報処理方法、プログラム及び情報処理システムに関する。 The present disclosure relates to an information processing method, a program, and an information processing system.
　特許文献１には、気象情報から再生可能エネルギーの電力供給量を予測し、需給バランスに基づいて車両に提供する電力料金のダイナミックプライシングを行う技術が開示されている。 Patent Document 1 discloses a technology that predicts the amount of renewable energy power supply from weather information, and performs dynamic pricing for power charges to be provided to vehicles based on the supply and demand balance.
特開２０１９－８０３６９号公報JP 2019-80369 A
　特許文献１に開示された再生可能エネルギーの利用のように、脱炭素への要求が高まっている。 Demand for decarbonization is increasing, such as the use of renewable energy disclosed in Patent Document 1.
　そこで、本開示は、脱炭素に資するようにユーザに行動の変容を促すことができる情報処理方法などを提供する。 Therefore, the present disclosure provides an information processing method and the like that can encourage users to change their behavior so as to contribute to decarbonization.
　本開示に係る情報処理方法は、コンピュータにより実行される情報処理方法であって、対象ユーザの行動を示す行動データを取得し、取得された前記対象ユーザの前記行動データに基づいて、前記対象ユーザに対して脱炭素に繋がる行動の変容を促す脱炭素行動変容情報を決定し、決定された前記脱炭素行動変容情報を出力する処理を含む。 The information processing method according to the present disclosure is an information processing method executed by a computer, and includes a process of acquiring behavior data indicating behavior of a target user, determining decarbonization behavior modification information that encourages the target user to change behavior leading to decarbonization based on the obtained behavior data of the target user, and outputting the determined decarbonization behavior modification information.
　なお、これらの包括的又は具体的な態様は、システム、方法、集積回路、コンピュータプログラム又はコンピュータ読み取り可能なＣＤ－ＲＯＭなどの記録媒体で実現されてもよく、システム、方法、集積回路、コンピュータプログラム及び記録媒体の任意な組み合わせで実現されてもよい。 These comprehensive or specific aspects may be realized by a system, method, integrated circuit, computer program, or a recording medium such as a computer-readable CD-ROM, or may be realized by any combination of the system, method, integrated circuit, computer program, and recording medium.
　本開示の一態様に係る情報処理方法などによれば、脱炭素に資するようにユーザに行動の変容を促すことができる。 According to the information processing method and the like according to one aspect of the present disclosure, it is possible to encourage users to change their behavior so as to contribute to decarbonization.
実施の形態に係る情報処理システムの一例を示す図である。1 illustrates an example of an information processing system according to an embodiment; FIG. 実施の形態に係る情報処理方法の一例を示すフローチャートである。4 is a flow chart showing an example of an information processing method according to an embodiment; 対象ユーザの行動データと、脱炭素行動変容情報との対応関係の一例を示すテーブルである。It is a table which shows an example of the correspondence of a target user's action data and decarbonization behavior change information. 実施の形態に係る情報処理方法の具体例を示すフローチャートである。4 is a flow chart showing a specific example of an information processing method according to the embodiment;
　本開示の一態様に係る情報処理方法は、コンピュータにより実行される情報処理方法であって、対象ユーザの行動を示す行動データを取得し、取得された前記対象ユーザの前記行動データに基づいて、前記対象ユーザに対して脱炭素に繋がる行動の変容を促す脱炭素行動変容情報を決定し、決定された前記脱炭素行動変容情報を出力する処理を含む。 An information processing method according to an aspect of the present disclosure is an information processing method executed by a computer, and includes a process of acquiring behavior data indicating behavior of a target user, determining decarbonization behavior modification information that encourages behavior modification leading to decarbonization to the target user based on the obtained behavior data of the target user, and outputting the determined decarbonization behavior modification information.
　これによれば、対象ユーザの行動の履歴などの行動データに基づいて決定された、対象ユーザに対して脱炭素に繋がる行動の変容を促す脱炭素行動変容情報が出力されるため、脱炭素に資するように対象ユーザに行動の変容を促すことができる。 According to this, the decarbonization behavior change information, which is determined based on the behavior data such as the history of the behavior of the target user and encourages the target user to change their behavior leading to decarbonization, is output.
　例えば、前記脱炭素行動変容情報は、前記対象ユーザの前記行動データが示す移動手段よりも脱炭素に繋がる移動手段を含んでいてもよい。例えば、前記脱炭素に繋がる移動手段は、電車、徒歩または相乗りを含んでいてもよい。 For example, the decarbonized behavior modification information may include a means of transportation leading to decarbonization rather than the means of transportation indicated by the behavior data of the target user. For example, the means of transportation leading to decarbonization may include train, walking or carpooling.
　これによれば、対象ユーザが普段利用している移動手段よりも脱炭素に繋がる移動手段（例えば電車、徒歩または相乗りなど）を利用するように促すことができる。 According to this, it is possible to encourage the target users to use transportation methods that lead to decarbonization (for example, trains, walking, carpooling, etc.) rather than the transportation methods they usually use.
　例えば、さらに、前記脱炭素に繋がる行動の変容を促された前記対象ユーザの行動の変容の特性を分析し、分析された前記特性に基づいて、前記対象ユーザに付与するインセンティブを決定し、決定されたインセンティブを出力してもよい。例えば、前記インセンティブの決定では、分析された前記特性が前記脱炭素に繋がる行動の変容がなかったことを示す場合には、分析された前記特性が前記脱炭素に繋がる行動の変容があったことを示す場合よりも、大きなインセンティブを決定してもよい。 For example, furthermore, the characteristics of behavioral change of the target user prompted to change behavior leading to decarbonization may be analyzed, an incentive to be given to the target user may be determined based on the analyzed characteristics, and the determined incentive may be output. For example, in determining the incentive, if the characteristic analyzed indicates that there was no change in behavior leading to the decarbonization, a greater incentive may be determined than if the characteristic analyzed indicates that there was a change in behavior leading to the decarbonization.
　これによれば、対象ユーザにインセンティブを付与することで、対象ユーザに脱炭素に繋がる行動をさせやすくなる。例えば、脱炭素に繋がる行動の変容を促しても行動の変容がなかった対象ユーザ（言い換えると、脱炭素に積極的ではない対象ユーザ）に対してより大きなインセンティブを付与することで、このような対象ユーザにも脱炭素に繋がる行動をさせやすくなる。 According to this, by giving incentives to the target users, it becomes easier for the target users to take actions that lead to decarbonization. For example, by giving a greater incentive to target users who did not change their behavior even if they were encouraged to change their behavior leading to decarbonization (in other words, target users who are not positive about decarbonization), such target users are also more likely to take actions that lead to decarbonization.
　例えば、さらに、前記対象ユーザの属性情報を取得し、前記脱炭素行動変容情報の決定では、取得された前記対象ユーザの前記行動データ及び前記対象ユーザの前記属性情報に基づいて、前記脱炭素行動変容情報を決定してもよい。 For example, the attribute information of the target user is further acquired, and in determining the decarbonized behavior change information, the decarbonized behavior change information may be determined based on the acquired behavior data of the target user and the acquired attribute information of the target user.
　このように、対象ユーザの属性情報（年齢、性別、一日の平均歩数など）も利用して脱炭素行動変容情報を決定してもよい。例えば、対象ユーザの属性情報が、体力があることを示す場合には、移動手段として徒歩を促すようにすることができる。 In this way, the decarbonized behavior change information may be determined using the target user's attribute information (age, gender, average number of steps per day, etc.). For example, if the target user's attribute information indicates that he or she has physical strength, it is possible to encourage walking as a means of transportation.
　例えば、さらに、前記対象ユーザの移動経路における環境データを取得し、前記脱炭素行動変容情報の決定では、取得された前記対象ユーザの前記行動データ及び前記環境データに基づいて、前記脱炭素行動変容情報を決定してもよい。 For example, environmental data on the movement route of the target user may be further acquired, and in determining the decarbonized behavior change information, the decarbonized behavior change information may be determined based on the acquired behavior data and environmental data of the target user.
　このように、環境データも利用して脱炭素行動変容情報を決定してもよい。例えば、天候が悪い場合には、移動手段として徒歩を促さないようにすることができる。 In this way, environmental data may also be used to determine decarbonization behavior change information. For example, when the weather is bad, it is possible to discourage walking as a means of transportation.
　例えば、さらに、複数のユーザの行動を示す行動データ、及び、前記対象ユーザの移動経路における環境データを取得し、取得された前記複数のユーザの前記行動データ及び前記環境データに基づいて、前記移動経路における１以上の移動手段の需要を予測し、予測された前記需要に基づいて、前記対象ユーザに対して人流分散に繋がる行動の変容を促す人流分散行動変容情報を決定し、決定された前記人流分散行動変容情報を出力してもよい。 For example, furthermore, action data indicating actions of a plurality of users and environment data on the movement route of the target user may be acquired, and based on the acquired action data of the plurality of users and the environment data, demand for one or more means of transportation on the movement route may be predicted, based on the predicted demand, people flow distribution behavior modification information may be determined that encourages the target user to change behavior leading to people flow distribution, and the determined people flow distribution behavior modification information may be output.
　これによれば、複数のユーザの行動の履歴などの行動データ及び対象ユーザの目的地までの移動経路における天候などの環境データに基づいて、当該移動経路における１以上の移動手段の需要を予測することができる。そして、当該需要に基づいて決定された、対象ユーザに対して人流分散に繋がる行動の変容を促す人流分散行動変容情報が出力されるため、脱炭素に資するように対象ユーザに行動の変容を促すだけでなく、さらに、人流分散に資するように対象ユーザに行動の変容を促すことができる。 According to this, it is possible to predict the demand for one or more means of transportation along the travel route based on action data such as the action history of multiple users and environmental data such as weather along the travel route to the destination of the target user. Then, since the people flow distribution behavior change information that is determined based on the demand and encourages the target user to change the behavior that leads to the distribution of people flow is output, it is possible to not only encourage the target user to change the behavior so as to contribute to decarbonization, but also to encourage the target user to change the behavior so as to contribute to the distribution of the people flow.
　例えば、前記人流分散行動変容情報は、前記対象ユーザの前記行動データが示す移動時間帯よりも人流分散に繋がる移動時間帯を含んでいてもよい。 For example, the people flow distribution behavior change information may include a travel time period that leads to more people flow distribution than the travel time period indicated by the behavior data of the target user.
　これによれば、対象ユーザが移動しようとしている移動時間帯の人流が多い場合には、人流が少ない移動時間帯に移動するように促すことができる。 According to this, if there is a large flow of people during the time period during which the target user intends to move, it is possible to encourage the user to move during a time period when the flow of people is low.
　本開示の一態様に係るプログラムは、上記の情報処理方法をコンピュータに実行させるプログラムである。 A program according to one aspect of the present disclosure is a program that causes a computer to execute the above information processing method.
　これによれば、脱炭素に資するように対象ユーザに行動の変容を促すことができるプログラムを提供できる。 According to this, it is possible to provide a program that can encourage target users to change their behavior so as to contribute to decarbonization.
　本開示の一態様に係る情報処理システムは、対象ユーザの行動を示す行動データを取得する取得部と、取得された前記対象ユーザの前記行動データに基づいて、前記対象ユーザに対して脱炭素に繋がる行動の変容を促す脱炭素行動変容情報を決定する決定部と、決定された前記脱炭素行動変容情報を出力する出力部と、を備える。 An information processing system according to an aspect of the present disclosure includes an acquisition unit that acquires behavior data indicating behavior of a target user, a determination unit that determines decarbonization behavior modification information that encourages the target user to change behavior that leads to decarbonization based on the acquired behavior data of the target user, and an output unit that outputs the determined decarbonization behavior modification information.
　これによれば、脱炭素に資するように対象ユーザに行動の変容を促すことができる情報処理システムを提供できる。 According to this, it is possible to provide an information processing system that can encourage target users to change their behavior so as to contribute to decarbonization.
　以下、実施の形態について、図面を参照しながら具体的に説明する。 Hereinafter, embodiments will be specifically described with reference to the drawings.
　なお、以下で説明する実施の形態は、いずれも包括的又は具体的な例を示すものである。以下の実施の形態で示される数値、形状、材料、構成要素、構成要素の配置位置及び接続形態、ステップ、ステップの順序などは、一例であり、本開示を限定する主旨ではない。 It should be noted that the embodiments described below are all comprehensive or specific examples. Numerical values, shapes, materials, components, arrangement positions and connection forms of components, steps, order of steps, and the like shown in the following embodiments are examples, and are not intended to limit the present disclosure.
　（実施の形態）
　以下、実施の形態に係る情報処理システム及び情報処理方法について説明する。 (Embodiment)
An information processing system and an information processing method according to embodiments will be described below.
　図１は、実施の形態に係る情報処理システム１０の一例を示す図である。 FIG. 1 is a diagram showing an example of an information processing system 10 according to an embodiment.
　情報処理システム１０は、ユーザの移動に関する行動の変容を促すシステムであり、具体的には、ユーザに対して脱炭素に繋がる行動の変容を促すシステムである。以下、脱炭素に繋がる行動の変容が促されるユーザを対象ユーザと呼ぶ。脱炭素に繋がる行動とは、二酸化炭素の排出の少ない行動であり、例えば、省エネルギーな移動手段を利用する行動である。 The information processing system 10 is a system that encourages the user to change their movement-related behavior. Specifically, it is a system that encourages the user to change their behavior leading to decarbonization. Hereinafter, a user who is encouraged to change behavior leading to decarbonization is referred to as a target user. Actions that lead to decarbonization are actions that emit less carbon dioxide, for example, actions that use energy-saving means of transportation.
　情報処理システム１０は、取得部１１、分析部１２、予測部１３、決定部１４及び出力部１５を備える。情報処理システム１０は、プロセッサ、通信インタフェース及びメモリなどを含むコンピュータである。メモリは、ＲＯＭ（Ｒｅａｄ　Ｏｎｌｙ　Ｍｅｍｏｒｙ）及びＲＡＭ（Ｒａｎｄｏｍ　Ａｃｃｅｓｓ　Ｍｅｍｏｒｙ）などであり、プロセッサにより実行されるプログラムを記憶することができる。取得部１１、分析部１２、予測部１３、決定部１４及び出力部１５は、メモリに格納されたプログラムを実行するプロセッサなどによって実現される。例えば、取得部１１及び出力部１５は、通信インタフェースを介して、他の装置と情報の送受信を行う。情報処理システム１０は、例えば、サーバなどのコンピュータである。なお、情報処理システム１０を構成する構成要素は、複数のサーバ（コンピュータ）に分散して配置されていてもよい。 The information processing system 10 includes an acquisition unit 11 , an analysis unit 12 , a prediction unit 13 , a determination unit 14 and an output unit 15 . The information processing system 10 is a computer including a processor, communication interface, memory, and the like. The memory is ROM (Read Only Memory), RAM (Random Access Memory), etc., and can store programs executed by the processor. Acquisition unit 11, analysis unit 12, prediction unit 13, determination unit 14, and output unit 15 are realized by a processor or the like that executes a program stored in memory. For example, the acquisition unit 11 and the output unit 15 transmit and receive information to and from other devices via a communication interface. The information processing system 10 is, for example, a computer such as a server. It should be noted that the components constituting the information processing system 10 may be distributed and arranged in a plurality of servers (computers).
　取得部１１は、対象ユーザの行動を示す行動データを取得する。行動データは、例えば、対象ユーザの行動履歴又は行動予定などである。また、取得部１１は、複数のユーザの行動を示す行動データを取得する。また、取得部１１は、対象ユーザの目的地への移動経路における環境データを取得する。環境データは、例えば対象ユーザの目的地への移動経路における天候又は気温などである。また、取得部１１は、対象ユーザの属性情報を取得する。属性情報は、例えば、対象ユーザが、体力があるか否かを示す情報であり、年齢、性別、一日の平均歩数などの情報である。取得部１１の動作の詳細については後述する。 The acquisition unit 11 acquires behavior data indicating the behavior of the target user. The action data is, for example, the target user's action history or action schedule. In addition, the acquisition unit 11 acquires action data indicating actions of a plurality of users. In addition, the acquisition unit 11 acquires environmental data on the moving route to the destination of the target user. The environmental data is, for example, the weather, temperature, or the like along the travel route to the destination of the target user. In addition, the acquisition unit 11 acquires the attribute information of the target user. The attribute information is, for example, information indicating whether or not the target user has physical strength, such as age, gender, and average number of steps per day. Details of the operation of the acquisition unit 11 will be described later.
　分析部１２は、脱炭素に繋がる行動の変容を促された対象ユーザの行動の変容の特性を分析する。分析部１２の動作の詳細については後述する。 The analysis unit 12 analyzes the characteristics of the change in behavior of the target user who was prompted to change the behavior leading to decarbonization. Details of the operation of the analysis unit 12 will be described later.
　予測部１３は、取得部１１によって取得された複数のユーザの行動データ及び環境データに基づいて、対象ユーザの移動経路における１以上の移動手段の需要を予測する。予測部１３の動作の詳細については後述する。 The prediction unit 13 predicts demand for one or more means of transportation on the movement route of the target user based on the behavior data and environment data of multiple users acquired by the acquisition unit 11 . Details of the operation of the prediction unit 13 will be described later.
　決定部１４は、取得部１１によって取得された対象ユーザの行動データに基づいて、対象ユーザに対して脱炭素に繋がる行動の変容を促す脱炭素行動変容情報を決定する。また、決定部１４は、分析部１２によって分析された、脱炭素に繋がる行動の変容を促された対象ユーザの行動の変容の特性に基づいて、対象ユーザに付与するインセンティブを決定する。また、決定部１４は、予測部１３によって予測された、対象ユーザの移動経路における１以上の移動手段の需要に基づいて、対象ユーザに対して人流分散に繋がる行動の変容を促す人流分散行動変容情報を決定する。決定部１４の動作の詳細については後述する。 Based on the target user's behavior data acquired by the acquisition unit 11, the determination unit 14 determines decarbonization behavior change information that encourages the target user to change behavior leading to decarbonization. In addition, the determination unit 14 determines incentives to be given to the target user based on the characteristics of behavioral change of the target user who is encouraged to change behavior leading to decarbonization, which are analyzed by the analysis unit 12. In addition, the determination unit 14 determines people flow distribution behavior change information that encourages the target user to change behavior that leads to distribution of people flow, based on the demand for one or more transportation means on the movement route of the target user predicted by the prediction unit 13. Details of the operation of the determination unit 14 will be described later.
　出力部１５は、決定部１４によって決定された脱炭素行動変容情報を出力する。また、出力部１５は、決定部１４によって決定されたインセンティブを出力する。また、出力部１５は、決定部１４によって決定された人流分散行動変容情報を出力する。出力部１５の動作の詳細については後述する。 The output unit 15 outputs the decarbonization behavior change information determined by the determination unit 14 . Also, the output unit 15 outputs the incentive determined by the determination unit 14 . The output unit 15 also outputs the people flow distribution behavior change information determined by the determination unit 14 . Details of the operation of the output unit 15 will be described later.
　次に、実施の形態に係る情報処理方法について、図２を用いて説明する。 Next, an information processing method according to the embodiment will be described using FIG.
　図２は、実施の形態に係る情報処理方法の一例を示すフローチャートである。なお、情報処理方法は、情報処理システム１０（コンピュータ）により実行される方法であるため、図２は、情報処理システム１０の動作の一例を示すフローチャートでもある。 FIG. 2 is a flowchart showing an example of an information processing method according to the embodiment. Since the information processing method is a method executed by the information processing system 10 (computer), FIG. 2 is also a flowchart showing an example of the operation of the information processing system 10 .
　まず、取得部１１は、対象ユーザの行動を示す行動データ、対象ユーザの属性情報及び対象ユーザの移動経路における環境データを取得する（ステップＳ１１）。 First, the acquisition unit 11 acquires behavior data indicating the behavior of the target user, attribute information of the target user, and environmental data on the movement route of the target user (step S11).
　例えば、情報処理システム１０は、チケット予約システムなどと連携していてもよく、取得部１１は、チケット予約システムなどから対象ユーザのチケット購入履歴を取得し、どこからどこまでを飛行機又は新幹線などの移動手段を利用して対象ユーザが移動したかを示す行動履歴を行動データとして取得してもよい。 For example, the information processing system 10 may cooperate with a ticket reservation system or the like, and the acquisition unit 11 may acquire the target user's ticket purchase history from the ticket reservation system or the like, and may acquire, as action data, an action history indicating from where to where the target user has moved using a means of transportation such as an airplane or Shinkansen.
　例えば、情報処理システム１０は、タクシー配車システムなどと連携していてもよく、取得部１１は、タクシー配車システムなどから対象ユーザのタクシーの利用履歴を取得し、どこからどこまでをタクシーを利用して対象ユーザが移動したかを示す行動履歴を行動データとして取得してもよい。 For example, the information processing system 10 may cooperate with a taxi dispatch system or the like, and the acquisition unit 11 may acquire the target user's taxi usage history from the taxi dispatch system or the like, and may acquire, as action data, an action history indicating from where to where the target user traveled by using a taxi.
　例えば、情報処理システム１０は、経路検索システムなどと連携していてもよく、取得部１１は、経路検索システムなどから対象ユーザの経路検索履歴を取得し、どこからどこまでを電車又はバスなどの移動手段を利用して対象ユーザが移動したかを示す行動履歴を行動データとして取得してもよい。 For example, the information processing system 10 may cooperate with a route search system or the like, and the acquisition unit 11 may acquire the target user's route search history from the route search system or the like, and may acquire, as action data, an action history indicating from where to where the target user has traveled using a means of transportation such as a train or bus.
　例えば、情報処理システム１０は、対象ユーザが所持する携帯端末などと通信してもよく、取得部１１は、対象ユーザの携帯端末などから対象ユーザの位置情報や歩数などを取得し、どこからどこまでを対象ユーザが徒歩で移動したかを示す行動履歴を行動データとして取得してもよい。 For example, the information processing system 10 may communicate with a mobile terminal or the like possessed by the target user, and the acquisition unit 11 may acquire the target user's position information, number of steps, etc. from the target user's mobile terminal or the like, and may acquire an action history indicating where to where the target user has moved on foot as action data.
　例えば、情報処理システム１０は、対象ユーザが所有する自動車などと通信してもよく、取得部１１は、対象ユーザの自動車などから位置情報などを取得し、どこからどこまでを対象ユーザが自動車で移動したかを示す行動履歴を行動データとして取得してもよい。また、対象ユーザが所属するグループが予め登録されていてもよく、対象ユーザが、同じグループの人と同じ目的地に向けて移動する際に、別々の自動車で移動しているかを示す行動履歴を行動データとして取得してもよい。 For example, the information processing system 10 may communicate with a car or the like owned by the target user, and the acquisition unit 11 may acquire position information or the like from the target user's car or the like, and may acquire an action history indicating from where to where the target user traveled by car as action data. Also, the group to which the target user belongs may be registered in advance, and the action history indicating whether the target user travels in different cars when moving toward the same destination as the people in the same group may be acquired as action data.
　例えば、情報処理システム１０は、対象ユーザが利用するスケジューラなどと連携していてもよく、取得部１１は、スケジューラなどから対象ユーザの行動予定を行動データとして取得してもよい。 For example, the information processing system 10 may cooperate with a scheduler or the like used by the target user, and the acquisition unit 11 may acquire the target user's action schedule as action data from the scheduler or the like.
　また、取得部１１は、複数のユーザの行動を示す行動データを取得する。つまり、取得部１１は、上述した対象ユーザの各種行動データと同じように、複数のユーザの行動データを取得する。 In addition, the acquisition unit 11 acquires action data indicating actions of a plurality of users. That is, the acquiring unit 11 acquires behavior data of a plurality of users in the same manner as the various behavior data of the target user described above.
　例えば、情報処理システム１０は、気象観測システムなど連携していてもよく、取得部１１は、気象観測システムなどから対象ユーザの移動経路における天候又は気温などを環境データとして取得してもよい。 For example, the information processing system 10 may cooperate with a weather observation system or the like, and the acquisition unit 11 may acquire the weather or temperature along the movement route of the target user from the weather observation system or the like as environmental data.
　例えば、情報処理システム１０には、対象ユーザの属性情報が登録されていてもよく、取得部１１は、登録された対象ユーザの属性情報を取得してもよい。 For example, the target user's attribute information may be registered in the information processing system 10, and the acquisition unit 11 may acquire the registered target user's attribute information.
　次に、分析部１２は、脱炭素に繋がる行動の変容を促された対象ユーザの行動の変容の特性を分析する（ステップＳ１２）。具体的には、分析部１２は、脱炭素に繋がる行動の変容を促された対象ユーザが、脱炭素に繋がる行動を行ったかを分析する。例えば、出力部１５によって、対象ユーザに対して脱炭素に繋がる行動の変容を促す脱炭素行動変容情報が出力された後に、取得部１１によって取得された対象ユーザの行動データに基づいて、分析部１２は、対象ユーザが、脱炭素に繋がる行動を行ったかを分析することができる。 Next, the analysis unit 12 analyzes the characteristics of the change in behavior of the target user who was prompted to change the behavior leading to decarbonization (step S12). Specifically, the analysis unit 12 analyzes whether the target user who was prompted to change the behavior leading to decarbonization performed the behavior leading to decarbonization. For example, after the output unit 15 outputs the decarbonization behavior change information that encourages the target user to change behavior that leads to decarbonization, based on the behavior data of the target user acquired by the acquisition unit 11, the analysis unit 12 can analyze whether the target user has taken a behavior that leads to decarbonization.
　次に、予測部１３は、取得部１１によって取得された複数のユーザの行動データ及び環境データに基づいて、対象ユーザの移動経路における１以上の移動手段の需要を予測する（ステップＳ１３）。例えば、予測部１３は、複数のユーザの行動履歴又は行動予定から、対象ユーザの移動経路において、複数のユーザのそれぞれがいつどのような移動手段を利用するかを予測することができ、様々な時間帯での対象ユーザの移動経路における１以上の移動手段の需要を予測することができる。また、天候又は気温などによっては、複数のユーザのそれぞれが利用する移動手段や移動する時間帯が変化する。そこで、予測部１３は、対象ユーザの移動経路における天候又は気温などの環境データも利用することで、より正確に上記需要を予測することができる。 Next, the prediction unit 13 predicts demand for one or more means of transportation on the movement route of the target user based on the action data and environment data of the multiple users acquired by the acquisition unit 11 (step S13). For example, the prediction unit 13 can predict when and what transportation means each of the plurality of users will use on the movement route of the target user from the action history or action schedule of the plurality of users, and can predict the demand for one or more transportation means on the movement route of the target user in various time periods. In addition, depending on the weather, temperature, or the like, the means of transportation used by each of the plurality of users and the time of day during which they move may change. Therefore, the prediction unit 13 can more accurately predict the demand by using environmental data such as weather or temperature along the travel route of the target user.
　次に、決定部１４は、対象ユーザに対して脱炭素に繋がる行動の変容を促す脱炭素行動変容情報、対象ユーザに付与するインセンティブ及び対象ユーザに対して人流分散に繋がる行動の変容を促す人流分散行動変容情報を決定する（ステップＳ１４）。 Next, the determination unit 14 determines decarbonization behavior change information that encourages the target user to change behavior that leads to decarbonization, incentives to be given to the target user, and people flow distribution behavior change information that encourages the target user to change behavior that leads to population distribution (step S14).
　決定部１４は、取得部１１によって取得された対象ユーザの行動データに基づいて、脱炭素行動変容情報を決定する。例えば、脱炭素行動変容情報は、対象ユーザの行動データが示す移動手段よりも脱炭素に繋がる移動手段を含む。具体的には、脱炭素に繋がる移動手段は、電車、徒歩または相乗りを含む。例えば、決定部１４は、対象ユーザの行動履歴から、対象ユーザが普段どのような移動手段を利用して移動しているのかを認識することができ、より脱炭素に繋がる移動手段（省エネルギーな移動手段）での移動を促す脱炭素行動変容情報を決定することができる。例えば、決定部１４は、対象ユーザがある区間について普段飛行機で移動している場合には、新幹線で移動するように促す脱炭素行動変容情報を決定してもよい。また、例えば、決定部１４は、対象ユーザがある区間について普段徒歩で移動している場合には、さらに長い区間について徒歩で移動するように促す脱炭素行動変容情報を決定してもよい。 The determination unit 14 determines decarbonization behavior change information based on the target user's behavior data acquired by the acquisition unit 11 . For example, the decarbonized behavior change information includes means of transportation leading to decarbonization rather than the means of transportation indicated by the behavior data of the target user. Specifically, modes of transportation that lead to decarbonization include trains, walking, or carpooling. For example, the determination unit 14 can recognize from the behavior history of the target user what kind of transportation means the target user usually uses to move, and can determine decarbonization behavior change information that encourages movement by means of transportation that leads to more decarbonization (energy-saving transportation means). For example, the determination unit 14 may determine the decarbonization behavior change information that encourages the target user to travel by Shinkansen if he/she usually travels by airplane in a certain section. Further, for example, the determination unit 14 may determine the decarbonized behavior change information that encourages the target user to walk on foot for a longer section when the target user usually walks for a certain section.
　また、決定部１４は、取得部１１によって取得された対象ユーザの行動データ及び対象ユーザの属性情報に基づいて、脱炭素行動変容情報を決定してもよい。例えば、対象ユーザの属性情報が、体力があることを示す場合には、移動手段として徒歩を促すようにすることができる。 Further, the determination unit 14 may determine the decarbonized behavior change information based on the target user's behavior data and the target user's attribute information acquired by the acquisition unit 11 . For example, if the target user's attribute information indicates that he or she has physical strength, it is possible to encourage walking as a means of transportation.
　例えば、決定部１４は、図３に示されるようなテーブルを用いて、脱炭素行動変容情報を決定してもよい。 For example, the determination unit 14 may determine decarbonization behavior change information using a table such as that shown in FIG.
　図３は、対象ユーザの行動データと、脱炭素行動変容情報との対応関係の一例を示すテーブルである。図３の左側には、対象ユーザの行動データが示す行動（行動履歴）が示され、図３の右側には、脱炭素行動変容情報によって対象ユーザに促される脱炭素行動が示されている。 FIG. 3 is a table showing an example of the correspondence relationship between the target user's behavior data and decarbonized behavior change information. The left side of FIG. 3 shows the behavior (action history) indicated by the behavior data of the target user, and the right side of FIG. 3 shows the decarbonization behavior prompted by the target user according to the decarbonization behavior modification information.
　例えば、対象ユーザが普段東京から大阪へ飛行機で移動している場合には、東京から新大阪へ新幹線で移動することを促す脱炭素行動変容情報が決定される。 For example, if the target user normally travels from Tokyo to Osaka by plane, decarbonization behavior change information that encourages them to travel from Tokyo to Shin-Osaka by Shinkansen is determined.
　例えば、対象ユーザが普段東京から新大阪へ新幹線で移動している場合には、脱炭素行動が促されない。すでに対象ユーザが脱炭素に繋がる移動手段で移動しているためである。 For example, if the target user normally travels from Tokyo to Shin-Osaka by Shinkansen, decarbonization behavior will not be encouraged. This is because the target users are already moving by means of transportation that leads to decarbonization.
　例えば、対象ユーザが普段新大阪から大阪市内へタクシーで移動している場合には、新大阪から大阪市内のＡ駅へ電車で移動することを促す脱炭素行動変容情報が決定される。 For example, if the target user normally travels from Shin-Osaka to Osaka city by taxi, the decarbonization behavior change information is determined to encourage the user to travel from Shin-Osaka to A station in Osaka city by train.
　例えば、対象ユーザが普段新大阪から大阪市内のＡ駅へ電車で移動している場合に、新大阪から大阪市内のＡ駅までの距離が第１所定距離以内の場合には、新大阪からＡ駅まで徒歩で移動することを促す脱炭素行動変容情報が決定される。 For example, if the target user usually travels by train from Shin-Osaka to Station A in Osaka City, and the distance from Shin-Osaka to Station A in Osaka City is within the first predetermined distance, decarbonization behavior change information that encourages the user to move from Shin-Osaka to Station A on foot is determined.
　例えば、対象ユーザが自宅からＢ停留所まで徒歩で移動し、Ｂ停留所からＣ駅までバスで移動している場合に、Ｂ停留所からＣ駅までの距離が第２所定距離以内の場合には、Ｂ停留所からＣ駅まで徒歩で移動することを促す脱炭素行動変容情報が決定される。 For example, if the target user walks from home to stop B and then travels from stop B to station C by bus, and the distance from stop B to station C is within the second predetermined distance, decarbonization behavior change information that encourages the user to walk from stop B to station C is determined.
　例えば、対象ユーザが自宅からＣ駅まで徒歩で移動している場合に、自宅からＣ駅の隣のＤ駅までの距離が第３所定距離以内の場合には、自宅からＤ駅まで徒歩で移動することを促す脱炭素行動変容情報が決定される。 For example, if the target user is walking from home to station C and the distance from home to station D, which is next to station C, is within the third predetermined distance, decarbonized behavior change information that encourages the user to walk from home to station D is determined.
　なお、第１所定距離、第２所定距離及び第３所定距離は、予め決められた距離であってもよいし、対象ユーザの属性情報（例えば、対象ユーザが、体力があるか否かを示す情報）に基づいて決定される距離であってもよい。例えば、体力がある対象ユーザについては、第１所定距離、第２所定距離及び第３所定距離が長くなるように決定されてもよい。 The first predetermined distance, the second predetermined distance, and the third predetermined distance may be predetermined distances, or may be distances determined based on the target user's attribute information (for example, information indicating whether the target user has physical strength). For example, for a target user with physical strength, the first predetermined distance, the second predetermined distance, and the third predetermined distance may be determined to be long.
　例えば、図３に示されるようなテーブルは、対象ユーザごとに異なっていてもよい。人によって、行動の変容の受け入れやすさは異なるためである。例えば、対象ユーザの行動データから、対象ユーザの現状の行動を把握することで、対象ユーザにとって少しの心がけで実施してくれそうな行動の変容を促す脱炭素行動変容情報が決定されてもよい。その際に、対象ユーザの属性情報が用いられてもよい。 For example, the table as shown in FIG. 3 may differ for each target user. This is because the acceptability of behavioral change differs from person to person. For example, by grasping the current behavior of the target user from the behavior data of the target user, decarbonized behavior modification information that encourages behavior modification that the target user is likely to implement with a little effort may be determined. At that time, attribute information of the target user may be used.
　また、決定部１４は、取得部１１によって取得された対象ユーザの行動データ及び環境データに基づいて、脱炭素行動変容情報を決定してもよい。例えば、天候が悪い場合には、移動手段として徒歩を促さないようにすることができる。 Further, the determining unit 14 may determine decarbonized behavioral change information based on the target user's behavior data and environmental data acquired by the acquiring unit 11 . For example, when the weather is bad, it is possible to discourage walking as a means of transportation.
　また、決定部１４は、分析部１２によって分析された、脱炭素に繋がる行動の変容を促された対象ユーザの行動の変容の特性に基づいて、インセンティブを決定する。インセンティブの内容は、特に限定されないが、各種サービスに利用できるポイントなどであってもよい。例えば、決定部１４は、分析された上記特性が脱炭素に繋がる行動の変容がなかったことを示す場合には、分析された上記特性が脱炭素に繋がる行動の変容があったことを示す場合よりも、大きなインセンティブを決定する。つまり、決定部１４は、脱炭素に積極的ではない対象ユーザに対して脱炭素に繋がる行動をさせるために、このような対象ユーザには大きなインセンティブを決定する。 In addition, the determination unit 14 determines incentives based on the characteristics of the behavioral change of the target user who is encouraged to change the behavior leading to decarbonization, which is analyzed by the analysis unit 12 . The content of the incentive is not particularly limited, but may be points that can be used for various services. For example, when the analyzed characteristics indicate that there was no change in behavior leading to decarbonization, the determining unit 14 determines a larger incentive than when the analyzed characteristics indicate that there was a change in behavior leading to decarbonization. In other words, the determining unit 14 determines a large incentive for the target user who is not positive about decarbonization, in order to make the target user take actions leading to decarbonization.
　また、決定部１４は、予測部１３によって予測された、対象ユーザの移動経路における１以上の移動手段の需要に基づいて、人流分散行動変容情報を決定する。例えば、決定部１４は、複数のユーザの行動履歴などの行動データ及び対象ユーザの目的地までの移動経路における天候などの環境データに基づいて予測される移動手段の需要から、当該移動経路における人流を推定することができる。例えば、人流分散行動変容情報は、対象ユーザの行動データが示す移動時間帯よりも人流分散に繋がる移動時間帯を含む。つまり、対象ユーザが移動しようとしている移動時間帯の人流が多いと推定される場合（例えば人流が所定の閾値以上の場合）には、人流が少ない移動時間帯に移動するように促すことができる。 In addition, the determination unit 14 determines people flow distribution behavior change information based on the demand for one or more means of transportation on the target user's movement route predicted by the prediction unit 13 . For example, the determination unit 14 can estimate the flow of people along the travel route based on the demand for a travel means predicted based on the behavior data such as the action history of a plurality of users and the environmental data such as the weather along the travel route to the destination of the target user. For example, the people flow divergence behavior change information includes travel time periods leading to more people flow divergence than the travel time periods indicated by the target user's behavior data. In other words, when it is estimated that there is a large flow of people during the travel time period during which the target user intends to move (for example, when the flow of people is equal to or greater than a predetermined threshold), it is possible to encourage the target user to move during the travel time period when the flow of people is low.
　なお、決定部１４は、取得部１１によって取得された対象ユーザの行動予定に基づいて、対象ユーザの行動予定の時間変更の許容度を判定してもよい。例えば、対象ユーザの行動予定が、時間変更が許容されない行動（タイムセールの時間帯でのショッピング、学校の講義など）である場合には、時間変更の許容度が低く、人流が少ない移動時間帯での移動が促されなくてもよい。 It should be noted that the determination unit 14 may determine the allowable degree of time change of the target user's action schedule based on the target user's action schedule acquired by the acquisition unit 11 . For example, if the target user's activity schedule is an activity for which time change is not permitted (shopping during a time sale, school lecture, etc.), the time change tolerance is low, and movement during travel time periods when there is little traffic may not be encouraged.
　そして、出力部１５は、決定部１４によって決定された、脱炭素行動変容情報、インセンティブ及び人流分散行動変容情報を出力する（ステップＳ１５）。出力部１５から出力される各種情報は、例えば、対象ユーザが有する携帯端末又はＰＣなどの装置に出力される。対象ユーザが脱炭素行動変容情報をこれらの装置を介して確認することで、対象ユーザは、脱炭素に繋がる行動の変容を促される。また、対象ユーザが付与されるインセンティブをこれらの装置を介して確認することで、対象ユーザは、脱炭素に繋がる行動をしやすくなる。また、対象ユーザが人流分散行動変容情報をこれらの装置を介して確認することで、対象ユーザは、人流分散に繋がる行動の変容を促される。 Then, the output unit 15 outputs the decarbonization behavior change information, incentives, and crowd distribution behavior change information determined by the determination unit 14 (step S15). Various types of information output from the output unit 15 are output to a device such as a mobile terminal or PC possessed by the target user, for example. When the target user confirms the decarbonization behavior change information via these devices, the target user is prompted to change behavior leading to decarbonization. In addition, by confirming the incentive given to the target user via these devices, the target user is more likely to take actions leading to decarbonization. In addition, when the target user confirms the people flow diversification behavior change information via these devices, the target user is prompted to change the behavior leading to the people flow diversification.
　次に、実施の形態に係る情報処理方法（情報処理システム１０の動作）の具体例について、図４を用いて説明する。 Next, a specific example of the information processing method (operation of the information processing system 10) according to the embodiment will be described using FIG.
　図４は、実施の形態に係る情報処理方法（情報処理システム１０の動作）の具体例を示すフローチャートである。図４では、情報処理システム１０が経路検索システムと連携しており、対象ユーザが、経路検索システムを利用して自宅からＥ駅までの経路を検索する際に、脱炭素に繋がる行動の変容が促される例を示している。 FIG. 4 is a flowchart showing a specific example of the information processing method (operation of the information processing system 10) according to the embodiment. In FIG. 4, the information processing system 10 cooperates with the route search system, and when the target user uses the route search system to search for a route from his home to E station, he is encouraged to change his behavior leading to decarbonization.
　まず、情報処理システム１０は、自宅からＥ駅までの基本ルート（自宅からＢ停留所まで徒歩で移動し、Ｂ停留所からＣ駅までバスで移動し、Ｃ駅からＥ駅まで電車で移動する経路）を提示する（ステップＳ１０１）。これにより、対象ユーザは、まずは、自宅からＥ駅までの基本ルートを確認することができる。 First, the information processing system 10 presents a basic route from home to E station (a route from home to B stop on foot, from B stop to C station by bus, and from C station to E station by train) (step S101). As a result, the target user can first confirm the basic route from his home to the E station.
　次に、情報処理システム１０は、対象ユーザの現状の行動が基本ルートでの移動であるか否かを判定する（ステップＳ１０２）。上述したように、情報処理システム１０は、対象ユーザの行動データから当該判定を行うことができる。 Next, the information processing system 10 determines whether or not the current behavior of the target user is movement along the basic route (step S102). As described above, the information processing system 10 can make the determination from the behavior data of the target user.
　情報処理システム１０は、対象ユーザの現状の行動が基本ルートでの移動である場合（ステップＳ１０２でＹｅｓ）、Ｂ停留所からＣ駅まで第２所定距離以内であるか否かを判定する（ステップＳ１０３）。 If the current behavior of the target user is movement on the basic route (Yes in step S102), the information processing system 10 determines whether or not the distance from stop B to station C is within a second predetermined distance (step S103).
　情報処理システム１０は、Ｂ停留所からＣ駅まで第２所定距離以内でない場合（ステップＳ１０３でＮｏ）、現状よりも脱炭素に繋がる行動の変容を促すことができないため、処理が終了する。 If the distance from the B stop to the C station is not within the second predetermined distance (No in step S103), the information processing system 10 cannot encourage a change in behavior leading to decarbonization from the current state, so the process ends.
　情報処理システム１０は、Ｂ停留所からＣ駅まで第２所定距離以内である場合（ステップＳ１０３でＹｅｓ）、自宅までＣ駅まで徒歩で移動し、Ｃ駅からＥ駅まで電車で移動することを提示する（ステップＳ１０４）。対象ユーザが自宅までＣ駅まで徒歩で移動することで、Ｂ停留所からＣ駅までのバスでの移動がされなくなり、その分脱炭素に繋がり得る。 If the distance from the B stop to the C station is within the second predetermined distance (Yes in step S103), the information processing system 10 suggests that the user should walk to his home to the C station and then travel from the C station to the E station by train (step S104). By moving the target user to his/her house on foot to C station, the movement by bus from B stop to C station becomes unnecessary, which may lead to decarbonization.
　一方で、情報処理システム１０は、対象ユーザの現状の行動が基本ルートでの移動でない場合（ステップＳ１０２でＮｏ）、対象ユーザの現状の行動が、自宅からＣ駅まで徒歩での移動であるか否かを判定する（ステップＳ１０５）。 On the other hand, if the current behavior of the target user is not traveling on the basic route (No in step S102), the information processing system 10 determines whether the current behavior of the target user is walking from home to station C (step S105).
　情報処理システム１０は、対象ユーザの現状の行動が、自宅からＣ駅まで徒歩での移動でない場合（ステップＳ１０５）、対象ユーザの現状の行動が情報処理システム１０の想定する行動ではないため、処理を終了する。 If the current behavior of the target user is not moving from home to Station C on foot (step S105), the information processing system 10 ends the process because the current behavior of the target user is not the behavior assumed by the information processing system 10.
　情報処理システム１０は、対象ユーザの現状の行動が、自宅からＣ駅まで徒歩での移動である場合（ステップＳ１０５）、自宅からＣ駅の隣のＤ駅まで第３所定距離以内であるか否かを判定する（ステップＳ１０６）。 If the current behavior of the target user is walking from home to station C (step S105), the information processing system 10 determines whether or not station D next to station C is within a third predetermined distance from home (step S106).
　情報処理システム１０は、自宅からＣ駅の隣のＤ駅まで第３所定距離以内でない場合（ステップＳ１０６でＮｏ）、対象ユーザの現状の行動が、自宅からＣ駅まで徒歩での移動であり、対象ユーザが現状脱炭素に繋がる行動をすでにしており、現状よりも脱炭素に繋がる行動の変容を促すことができないため、処理が終了する。 If the distance from home to D station next to C station is not within the third predetermined distance (No in step S106), the target user's current behavior is to move from home to C station on foot, and the target user is already engaged in behavior that leads to decarbonization, and it is not possible to encourage change in behavior that leads to decarbonization from the current situation, so the process ends.
　情報処理システム１０は、自宅からＣ駅の隣のＤ駅まで第３所定距離以内である場合（ステップＳ１０６でＹｅｓ）、自宅までＤ駅まで徒歩で移動し、Ｄ駅からＥ駅まで電車で移動することを提示する（ステップＳ１０７）。つまり、現状よりもさらに脱炭素に繋がる行動の変容が促される。対象ユーザが自宅までＤ駅まで徒歩で移動することで、Ｂ停留所からＣ駅までのバスでの移動がされなくなり、さらに、Ｃ駅からＤ駅までの電車での移動がされなくなり、その分脱炭素に繋がり得る。 If station D next to station C is within the third predetermined distance from home to station C (Yes in step S106), information processing system 10 suggests that the user should walk to station D to their home and travel from station D to station E by train (step S107). In other words, behavioral changes that lead to further decarbonization than the current situation will be encouraged. When the target user moves to his/her house on foot to D station, the movement by bus from B stop to C station is prevented, and furthermore, the movement by train from C station to D station is also prevented, which can lead to decarbonization.
　以上説明した通り、対象ユーザの行動の履歴などの行動データに基づいて決定された、対象ユーザに対して脱炭素に繋がる行動の変容を促す脱炭素行動変容情報が出力されるため、脱炭素に資するように対象ユーザに行動の変容を促すことができる。また、対象ユーザにインセンティブを付与することで、対象ユーザに脱炭素に繋がる行動をさせやすくなる。また、複数のユーザの行動の履歴などの行動データ及び対象ユーザの目的地までの移動経路における天候などの環境データに基づいて、当該移動経路における１以上の移動手段の需要を予測することができる。そして、当該需要に基づいて決定された、対象ユーザに対して人流分散に繋がる行動の変容を促す人流分散行動変容情報が出力されるため、脱炭素に資するように対象ユーザに行動の変容を促すだけでなく、さらに、人流分散に資するように対象ユーザに行動の変容を促すことができる。 As explained above, the decarbonization behavior change information that is determined based on the target user's behavior data such as the history of behavior of the target user and encourages the target user to change their behavior leading to decarbonization is output. In addition, by giving incentives to the target users, it becomes easier for the target users to take actions that lead to decarbonization. Also, based on action data such as the action history of a plurality of users and environmental data such as weather on the route to the destination of the target user, the demand for one or more means of transportation on the route can be predicted. Then, since the people flow distribution behavior change information that is determined based on the demand and encourages the target user to change the behavior that leads to the distribution of people flow is output, it is possible to not only encourage the target user to change the behavior so as to contribute to decarbonization, but also to encourage the target user to change the behavior so as to contribute to the distribution of the people flow.
　（その他の実施の形態）
　以上、本開示の一つ又は複数の態様に係る情報処理方法及び情報処理システム１０について、実施の形態に基づいて説明したが、本開示は、これらの実施の形態に限定されるものではない。本開示の趣旨を逸脱しない限り、当業者が思いつく各種変形を各実施の形態に施したものや、異なる実施の形態における構成要素を組み合わせて構築される形態も、本開示の一つ又は複数の態様の範囲内に含まれてもよい。 (Other embodiments)
The information processing method and the information processing system 10 according to one or more aspects of the present disclosure have been described above based on the embodiments, but the present disclosure is not limited to these embodiments. As long as it does not depart from the spirit of the present disclosure, various modifications that a person skilled in the art can think of are applied to each embodiment, and a form constructed by combining the components of different embodiments may be included in the scope of one or more aspects of the present disclosure.
　例えば、上記実施の形態では、脱炭素に繋がる行動の変容を促された対象ユーザの行動の変容の特性を分析し、分析された当該特性に基づいて、対象ユーザに付与するインセンティブを決定し、決定されたインセンティブを出力する例について説明したが、これらの処理が行われなくてもよい。 For example, in the above embodiment, an example has been described in which behavioral change characteristics of a target user who is encouraged to change behavior leading to decarbonization are analyzed, incentives to be given to the target user are determined based on the analyzed characteristics, and the determined incentives are output, but these processes do not have to be performed.
　例えば、上記実施の形態では、対象ユーザの属性情報を取得し、脱炭素行動変容情報の決定では、取得された対象ユーザの行動データ及び対象ユーザの属性情報に基づいて、脱炭素行動変容情報を決定する例について説明したが、これらの処理が行われなくてもよい。 For example, in the above embodiment, the target user's attribute information is acquired, and in determining the decarbonized behavior change information, the decarbonized behavior change information is determined based on the acquired target user's behavior data and the target user's attribute information. However, these processes do not have to be performed.
　例えば、上記実施の形態では、対象ユーザの移動経路における環境データを取得し、脱炭素行動変容情報の決定では、取得された対象ユーザの行動データ及び環境データに基づいて、脱炭素行動変容情報を決定する例について説明したが、これらの処理が行われなくてもよい。 For example, in the above embodiment, the environment data on the target user's movement route is acquired, and in the determination of the decarbonized behavior change information, the decarbonized behavior change information is determined based on the acquired target user's action data and environmental data. However, these processes do not have to be performed.
　例えば、上記実施の形態では、複数のユーザの行動を示す行動データ、及び、対象ユーザの移動経路における環境データを取得し、取得された複数のユーザの行動データ及び環境データに基づいて、移動経路における１以上の移動手段の需要を予測し、予測された需要に基づいて、対象ユーザに対して人流分散に繋がる行動の変容を促す人流分散行動変容情報を決定し、決定された人流分散行動変容情報を出力する例について説明したが、これらの処理が行われなくてもよい。 For example, in the above embodiment, the behavior data indicating the behavior of a plurality of users and the environment data on the movement route of the target user are acquired, the demand for one or more means of transportation on the movement route is predicted based on the acquired behavior data and environment data of the plurality of users, and based on the predicted demand, the people flow distribution behavior modification information that encourages the target user to change behavior that leads to the distribution of people flow is determined, and the determined people flow distribution behavior modification information is output. may
　例えば、本開示は、情報処理方法に含まれるステップを、プロセッサに実行させるためのプログラムとして実現できる。さらに、本開示は、そのプログラムを記録したＣＤ－ＲＯＭ等である非一時的なコンピュータ読み取り可能な記録媒体として実現できる。 For example, the present disclosure can be implemented as a program for causing a processor to execute the steps included in the information processing method. Furthermore, the present disclosure can be implemented as a non-temporary computer-readable recording medium such as a CD-ROM recording the program.
　例えば、本開示が、プログラム（ソフトウェア）で実現される場合には、コンピュータのＣＰＵ、メモリ及び入出力回路等のハードウェア資源を利用してプログラムが実行されることによって、各ステップが実行される。つまり、ＣＰＵがデータをメモリ又は入出力回路等から取得して演算したり、演算結果をメモリ又は入出力回路等に出力したりすることによって、各ステップが実行される。 For example, when the present disclosure is implemented by a program (software), each step is executed by executing the program using hardware resources such as the CPU, memory, and input/output circuits of the computer. In other words, each step is executed by the CPU acquiring data from a memory, an input/output circuit, or the like, performing an operation, or outputting the operation result to the memory, an input/output circuit, or the like.
　なお、上記実施の形態において、情報処理システム１０に含まれる各構成要素は、専用のハードウェアで構成されるか、各構成要素に適したソフトウェアプログラムを実行することによって実現されてもよい。各構成要素は、ＣＰＵ又はプロセッサなどのプログラム実行部が、ハードディスク又は半導体メモリなどの記録媒体に記録されたソフトウェアプログラムを読み出して実行することによって実現されてもよい。 It should be noted that in the above embodiment, each component included in the information processing system 10 may be configured with dedicated hardware, or realized by executing a software program suitable for each component. Each component may be realized by reading and executing a software program recorded in a recording medium such as a hard disk or a semiconductor memory by a program execution unit such as a CPU or processor.
　上記実施の形態に係る情報処理システム１０の機能の一部又は全ては典型的には集積回路であるＬＳＩとして実現される。これらは個別に１チップ化されてもよいし、一部又は全てを含むように１チップ化されてもよい。また、集積回路化はＬＳＩに限るものではなく、専用回路又は汎用プロセッサで実現してもよい。ＬＳＩ製造後にプログラムすることが可能なＦＰＧＡ（Ｆｉｅｌｄ　Ｐｒｏｇｒａｍｍａｂｌｅ　Ｇａｔｅ　Ａｒｒａｙ）、又はＬＳＩ内部の回路セルの接続や設定を再構成可能なリコンフィギュラブル・プロセッサを利用してもよい。 A part or all of the functions of the information processing system 10 according to the above embodiment are typically implemented as an LSI, which is an integrated circuit. These may be made into one chip individually, or may be made into one chip so as to include part or all of them. Further, circuit integration is not limited to LSIs, and may be realized by dedicated circuits or general-purpose processors. An FPGA (Field Programmable Gate Array) that can be programmed after the LSI is manufactured, or a reconfigurable processor that can reconfigure the connections and settings of the circuit cells inside the LSI may be used.
　さらに、本開示の主旨を逸脱しない限り、本開示の各実施の形態に対して当業者が思いつく範囲内の変更を施した各種変形例も本開示に含まれる。 Furthermore, the present disclosure also includes various modifications in which a person skilled in the art makes modifications to each embodiment of the present disclosure, as long as they do not deviate from the gist of the present disclosure.
　本開示は、目的地までの経路を検索する経路検索システムなどに適用できる。 The present disclosure can be applied to a route search system that searches for a route to a destination.
　１０　情報処理システム
　１１　取得部
　１２　分析部
　１３　予測部
　１４　決定部
　１５　出力部 10 information processing system 11 acquisition unit 12 analysis unit 13 prediction unit 14 determination unit 15 output unit

Claims (11)

  1. 　コンピュータにより実行される情報処理方法であって、
    　対象ユーザの行動を示す行動データを取得し、
    　取得された前記対象ユーザの前記行動データに基づいて、前記対象ユーザに対して脱炭素に繋がる行動の変容を促す脱炭素行動変容情報を決定し、
    　決定された前記脱炭素行動変容情報を出力する、
    　情報処理方法。     A computer-implemented information processing method comprising:
    Acquiring behavioral data indicating the behavior of the target user,
    Based on the acquired behavior data of the target user, determine decarbonization behavior modification information that encourages the target user to change behavior that leads to decarbonization,
    Outputting the determined decarbonization behavior modification information;
    Information processing methods.
  2. 　前記脱炭素行動変容情報は、前記対象ユーザの前記行動データが示す移動手段よりも脱炭素に繋がる移動手段を含む、
    　請求項１に記載の情報処理方法。     The decarbonized behavior modification information includes a means of transportation leading to decarbonization more than the means of transportation indicated by the behavior data of the target user,
    The information processing method according to claim 1 .
  3. 　前記脱炭素に繋がる移動手段は、電車、徒歩または相乗りを含む、
    　請求項２に記載の情報処理方法。     The transportation means leading to decarbonization include trains, walking or carpooling,
    The information processing method according to claim 2.
  4. 　さらに、
    　前記脱炭素に繋がる行動の変容を促された前記対象ユーザの行動の変容の特性を分析し、
    　分析された前記特性に基づいて、前記対象ユーザに付与するインセンティブを決定し、
    　決定されたインセンティブを出力する、
    　請求項１～３のいずれか１項に記載の情報処理方法。     moreover,
    Analyzing the characteristics of the behavioral change of the target user who was encouraged to change the behavior leading to decarbonization,
    determining an incentive to be given to the target user based on the analyzed characteristic;
    outputting the determined incentives,
    The information processing method according to any one of claims 1 to 3.
  5. 　前記インセンティブの決定では、分析された前記特性が前記脱炭素に繋がる行動の変容がなかったことを示す場合には、分析された前記特性が前記脱炭素に繋がる行動の変容があったことを示す場合よりも、大きなインセンティブを決定する、
    　請求項４に記載の情報処理方法。     In determining the incentive, if the analyzed characteristic indicates that there was no behavioral change leading to the decarbonization, than if the analyzed characteristic indicates that there was a behavioral change that leads to the decarbonization.
    The information processing method according to claim 4.
  6. 　さらに、前記対象ユーザの属性情報を取得し、
    　前記脱炭素行動変容情報の決定では、取得された前記対象ユーザの前記行動データ及び前記対象ユーザの前記属性情報に基づいて、前記脱炭素行動変容情報を決定する、
    　請求項１～５のいずれか１項に記載の情報処理方法。     Furthermore, acquiring attribute information of the target user,
    In determining the decarbonized behavior change information, the decarbonized behavior change information is determined based on the acquired behavior data of the target user and the attribute information of the target user.
    The information processing method according to any one of claims 1 to 5.
  7. 　さらに、前記対象ユーザの移動経路における環境データを取得し、
    　前記脱炭素行動変容情報の決定では、取得された前記対象ユーザの前記行動データ及び前記環境データに基づいて、前記脱炭素行動変容情報を決定する、
    　請求項１～６のいずれか１項に記載の情報処理方法。     Furthermore, acquiring environmental data in the movement route of the target user,
    In determining the decarbonized behavior change information, the decarbonized behavior change information is determined based on the acquired behavior data of the target user and the environmental data.
    The information processing method according to any one of claims 1 to 6.
  8. 　さらに、
    　複数のユーザの行動を示す行動データ、及び、前記対象ユーザの移動経路における環境データを取得し、
    　取得された前記複数のユーザの前記行動データ及び前記環境データに基づいて、前記移動経路における１以上の移動手段の需要を予測し、
    　予測された前記需要に基づいて、前記対象ユーザに対して人流分散に繋がる行動の変容を促す人流分散行動変容情報を決定し、
    　決定された前記人流分散行動変容情報を出力する、
    　請求項１～７のいずれか１項に記載の情報処理方法。     moreover,
    Acquiring action data indicating actions of a plurality of users and environmental data on the movement route of the target user;
    predicting demand for one or more means of transportation on the travel route based on the acquired behavior data and the environmental data of the plurality of users;
    Based on the predicted demand, determine people flow distribution behavior change information that encourages the target user to change behavior that leads to people flow distribution,
    outputting the determined people flow distribution behavior modification information;
    The information processing method according to any one of claims 1 to 7.
  9. 　前記人流分散行動変容情報は、前記対象ユーザの前記行動データが示す移動時間帯よりも人流分散に繋がる移動時間帯を含む、
    　請求項８に記載の情報処理方法。     The people flow distribution behavior change information includes a travel time period that leads to more people flow distribution than the travel time period indicated by the behavior data of the target user,
    The information processing method according to claim 8 .
  10. 　請求項１～９のいずれか１項に記載の情報処理方法をコンピュータに実行させるプログラム。 A program that causes a computer to execute the information processing method according to any one of claims 1 to 9.
  11. 　対象ユーザの行動を示す行動データを取得する取得部と、
    　取得された前記対象ユーザの前記行動データに基づいて、前記対象ユーザに対して脱炭素に繋がる行動の変容を促す脱炭素行動変容情報を決定する決定部と、
    　決定された前記脱炭素行動変容情報を出力する出力部と、を備える、
    　情報処理システム。     an acquisition unit that acquires behavior data indicating the behavior of the target user;
    a determination unit that determines decarbonization behavior change information that encourages the target user to change behavior leading to decarbonization based on the acquired behavior data of the target user;
    an output unit that outputs the determined decarbonization behavior modification information;
    Information processing system.
PCT/JP2022/038439 2022-01-24 2022-10-14 Information processing method, program, and information processing system WO2023139858A1 (en)

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