WO2023042658A1 - Behaviour change induction system and method therefor - Google Patents

Abstract

Provided are a behaviour change induction system and a method therefor that induce a change in behaviour of a person by using a nudge. The behaviour change induction system for inducing a change in behaviour of a person or juridical person comprises: a nudge generation unit that uses tracking information relating to a person or juridical person moving by a transport means to a requested location at which a service is provided, a request for riding the transport means by a person or juridical person, and the states of other persons or juridical persons using the transport means with the person or juridical person to generate a plurality of nudges for changing the behaviour of the person or juridical person or the other persons or juridical persons; a nudge activation control unit that controls activation of a specific nudge from among the plurality of generated nudges; and a communication processing unit that transmits the result of control by the nudge activation control unit to an information terminal used by the person or juridical person and information terminals used by the other persons or juridical persons.

Description

BEHAVIOR CHANGE GUIDE SYSTEM AND METHOD

The present invention relates to a behavior modification guidance system and method.

In Patent Document 1, considering disutility for passengers, the timetable is evaluated in real time at high speed. When the timetable is disrupted, it is necessary to create an optimal timetable plan in consideration of the flow of passengers. Therefore, in Patent Document 1, the number of passengers on a transportation system is estimated, and the disutility value of the passengers is calculated.

In Patent Document 2, latent needs are derived from the results of a questionnaire for each preset need. The questionnaire is for presupposed customer needs and product elements. In Patent Literature 2, latent needs are derived by morphologically analyzing sentences written in the free description field of a questionnaire and classifying the answer results based on the extracted words.

JP 2016-168970 A JP 2016-110188 A

In recent years, services that dynamically change schedules and routes according to passenger demand have emerged in response to the problems of public transportation services due to regional population disparities and the declining birthrate and aging population. One example is an on-demand bus that operates according to the needs of passengers. On-demand buses are being used nationwide as a means of transportation in depopulated areas where the population is declining.

However, the current on-demand buses are often operated in depopulated areas and have few passengers, so profitability is low. The on-demand bus can change the operation time and route according to the advance request of the passenger. However, in general, the bus must meet all the needs of the passengers, the passengers cannot know the departure time and arrival time of the bus, and the bus driver does not know both the route and the distance in advance. can't These causes dissatisfaction with both bus drivers and passengers.

Furthermore, in order to establish a transportation service such as an on-demand bus, it is not enough to simply match the needs of passengers with the needs of transportation means (buses). This is because the success or failure of matching between the needs of passengers and the needs of means of transportation depends on the timing of occurrence of both needs, and cannot be controlled.

In addition, the needs for transportation services such as on-demand buses need to consider the services provided at the passenger's destination, not just the boarding request. In other words, even if the needs of passengers and the means of transportation are matched, the success rate is low, even if the situation of service provision facilities such as restaurants, restaurants, and shopping malls, which are the final destinations of passengers, is ignored. will be.

In principle, existing on-demand buses pick up passengers at their desired departure point and drop them off at their desired arrival point. If this operation method is applied as it is, the bus operation route will be long and the operation time will be extended, resulting in an increase in operation cost and a decrease in transportation efficiency.

If transportation means such as buses, passengers, and facility users can make mutual concessions, it may contribute to the overall benefit. However, it is difficult for either individuals or corporations to accept their own disadvantage and act accordingly.

"Nudge" based on behavioral economics is a way of thinking that has been attracting attention in recent years. Nudge is an approach that encourages people to take desired behavior from the knowledge of behavioral science, and is often used in the sense of "information that prompts action."

Nudges encourage voluntary behavioral change by designing the environment for people to make decisions without using large financial incentives or penalties. But the best nudges are those that modify the real-world environment to change collective behavior. Such static use of nudges has limited effectiveness. This is because it does not dynamically and arbitrarily control nudges according to individuals and objects.

Therefore, it is an object of the present invention to provide a behavior modification guidance system and method for guiding behavior modification of a user using nudges.

In order to solve the above problems, according to one aspect of the present invention, there is provided a behavior modification guidance system for guiding behavior modification of a user, comprising tracking information of a user moving to a desired service providing location using transportation means, transportation means a nudge generation unit that generates a plurality of nudges that change the behavior of the user or other users based on a request to board the transportation and the states of other users who use the transportation means together with the user; Among them, a nudge activation control unit that controls activation of a predetermined nudge, and a communication processing unit that transmits the control result of the nudge activation control unit to the user's information terminal and information terminals used by other users.

According to the present invention, it is possible to induce a change in behavior of a user who uses transportation to move to a desired service providing location and another user who uses the transportation together with the user.

FIG. 1 is a block diagram showing the configuration of a behavior modification guidance system. FIG. 2 is a hardware configuration diagram of the behavior modification guidance system. FIG. 3 is a diagram showing a list of DBs and tables of the behavior modification guidance server. FIG. 4 is a diagram showing the module configuration and processing flow developed on the memory of the behavior modification guidance server. FIG. 5 is a sequence diagram showing the process of determining the route and schedule of transportation means. FIG. 6 is a sequence diagram of the process of obtaining responses to a questionnaire. FIG. 7 is a diagram showing a display example of the passenger information terminal. FIG. 8 is a diagram illustrating two types of nudge. FIG. 9 is a sequence diagram of processing by nudge discovery/generation processing. FIG. 10 is a sequence diagram following FIG. FIG. 11 is a sequence diagram following FIG. FIG. 12 is a sequence diagram showing the process of determining incoming nudges and outgoing nudges. FIG. 13 shows an overview of the processing sequence by the nudge activation control unit. FIG. 14 is a sequence diagram of processing PA by the nudge activation control unit. FIG. 15 is a sequence diagram of processing PB by the nudge activation control unit. FIG. 16 shows an example of the CPT of the Passenger Nudge Bayes Net (CPT/Link Coefficient) table. FIG. 17 is a diagram showing an example of N-multiple personalities for the same passenger. FIG. 18 is an image diagram showing a dynamic change method of Bayes net construction for solving the N-multiple personality problem for the same passenger. FIG. 19 is an image diagram showing an example of information used in a method of dynamically changing Bayes net construction. FIG. 20 is a sequence diagram showing processing of a nudge probability calculation unit. FIG. 21 is an explanatory diagram showing guidance to a transportation resource by a nudge for passengers. FIG. 22 is an explanatory diagram showing guidance to transportation resources by nudges for other passengers. FIG. 23 is an explanatory diagram showing routes of transportation means and guidance of passengers by publicizing passenger boarding information. FIG. 24 is an explanatory diagram showing guidance to withdraw a passenger request by disclosing a transportation resource.

Embodiments of the present invention will be described below based on the drawings. In this embodiment, by creating and combining a plurality of nudges with different properties, it is possible to induce actions that meet the demands of passengers, facilities, and means of transportation, and to generate and provide traffic resources that balance demand and demand. Users include legal persons as well as natural persons. In the following, natural persons are referred to as individuals. Other individuals are others seen from the subject. Other legal entities are other legal entities from the perspective of the subject.

A behavior modification guidance system 1 according to an aspect of the present disclosure includes a nudge generation unit 14 that discovers and generates nudges, a nudge activation control unit 13 that controls activation of nudges, Using the probability calculator 15, different nudges for different targets are individually activated (or not activated) to achieve one or more objectives (movement, attracting customers, operation) for each target.

The nudge generation unit 14 generates two nudges: (1) a nudge that changes the behavior of an individual or corporation as a user; and (2) a nudge that changes the behavior of another individual or corporation as a user other than an individual or corporation. nudges of any kind are discovered or generated by the actions of individuals or legal entities or other individuals or legal entities. The nudge activation control unit 13 controls whether or not to activate a found or generated nudge or a combination of discovered or generated nudges. The nudge probability calculation unit 15 calculates the probability of activating a nudge for each target, and if there are two or more actions with different characteristics for one target, it is treated as another target.

In this embodiment, a plurality of different nudges are activated or deactivated individually for each passenger using a common means of transportation. As a result, in this embodiment, (1) voluntarily changing or canceling the contents of the boarding request, (2) guidance to the route and schedule desired by the transportation means, (3) facility desired (convenient time zone, (in terms of the number of passengers) can be efficiently realized based on the voluntary intention of each passenger.

For example, the following configuration is disclosed in this embodiment.

"A nudge that calls for action comprises a means for detecting tracking information of a first subject, a means for detecting a change in the requirements of that subject, and a state of a second subject with which it has been affected. and a means for detecting an emotion of the first target to discover, generate, and induce the action of the nudge, a means for detecting the situation of the first target, and a means for inducing the action of the target. alter both the behavior of the first subject and the behavior of the subject of the second behavior, with or without the combined nudge, using a means that calculates the likelihood of Behavior modification induction system.

"In the means for discovering and generating action-inviting nudges, a first nudge in which a nudge of a first target affects a second target and a nudge of the first target affects a second target; A behavior change induction system characterized by discovering and generating given second nudges."

"A means of combining said call-to-action nudges and using or not using said combined nudges, wherein a combination of nudges of a first target affects a combination of nudges of a second target; A behavioral change induction system characterized in that a nudge of a subject produces a second nudge combination that affects a second subject."

"A behavior modification induction system that can display or not display a combination of nudges for the first or second target."

"A behavioral change guidance system in which the first means of detecting the subject's emotions is a questionnaire, or one that uses emotion estimation technology using a face recognition system, perspiration, heart rate, etc."

"A behavior modification induction system that uses Bayesian net as a means of discovering and generating nudges that encourage behavior, combining said nudges, and means of using or not using said combined nudges."

"A behavior change guidance system that treats two or more behaviors with different characteristics depending on the external environment as the first or second subject as different subjects."

"A behavioral change induction system that uses Bayesian net as a means of handling different targets."

A first embodiment will be described with reference to FIGS. 1 to 24. FIG. In this embodiment, transportation means (also referred to as transportation facilities or transportation vehicles) used by a plurality of passengers, such as buses and taxis, and capable of changing their movement routes will be described as an example. The means of transportation is not limited to a vehicle that travels on the ground, and may be, for example, a ship, a helicopter, an aircraft, or the like. The transport means may be driven by a driver or may be a so-called self-driving car.

Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. In addition, the embodiment described below does not limit the invention according to the scope of claims. Not all of the elements and their combinations described in the embodiments are essential to the solution of the invention.

Fig. 1 is a block diagram showing the configuration of the behavior modification guidance system. Behavior modification guidance system 10 shown in FIG. 4 and they are connected via a network 5 . The network 5 may be a dedicated line network or a public line network. Network 5 may be a wired network or a wireless network.

The behavior modification guidance server 1 prompts the target of behavior modification to request behavior modification. Behavior modification targets include, for example, individuals, organizations such as companies to which individuals belong, transportation facilities used by individuals, restaurants, leisure facilities, government offices, and the like. The target of behavior modification is not limited to the above examples.

The passenger information terminal 2 is an information processing terminal used by passengers, such as a mobile phone (including a so-called smart phone) or a tablet terminal. Passengers include passengers corresponding to "users" and passengers corresponding to "other users". Passengers corresponding to "other users" may be referred to as other passengers. As mentioned above, users are not limited to natural persons, but also legal persons.

The operation instruction terminal 3 is an information processing terminal mounted on a shared transportation vehicle such as a bus or a taxi that can change the movement route. The passenger information terminal 2 may be a so-called wearable terminal such as a spectacles type, a bracelet type, a wristwatch type, or a necklace type. The operation instruction terminal 3 may be a device fixed to the transportation vehicle or a device that the driver can carry.

The facility information terminal 4 is an information processing terminal used in facilities used by passengers (users of transport vehicles). The facility information terminal 4 is, for example, a smart phone, a tablet terminal, or a personal computer.

The servers 1, 6, 7, and 8 shown in FIG. 1 may be configured using one computer, or may be configured by linking a plurality of computers. Servers 1, 6, 7, and 8 may be provided in virtual machines. Other servers 6 to 8 can also be provided within the behavior modification server 1 . The terminals 2 to 4 may be of any form as long as they have an information input/output function and a communication function.

FIG. 2 is a block diagram showing the hardware configuration of each device 1 to 8 of the behavior modification guidance system 10 shown in FIG.

Servers 1, 6, 7, 8 include, for example, CPU (Central Processing Unit) 1-01, memory 1-02, communication NIC (Network Interface Card) 1-03, storage device (Hard Disk Drive) 1-04, input It has an output controller (io controller in the figure) 1-05 and a monitor controller 1-06, and each part is connected to each other via a communication path 1-07. A storage medium (not shown) can be electrically connected to the input/output controller 1-05 or electrically connected to the communication NIC 1-03. The storage medium includes, for example, flash memory, hard disk, magnetic tape, optical disk, etc., and non-temporarily stores computer programs.

The input/output controller 1-05 may be connected to the keyboard 1-11 and pointing device 1-12. A monitor controller 1-06 may be connected to a display 1-13. The information input device is not limited to the keyboard 1-11 or the like, and may be, for example, a device for inputting information by voice or motion. The information output device is not limited to the monitor display 1-13, and may be, for example, a printer or an audio output device.

In the case of the information terminals 2-4, a touch panel capable of inputting and outputting information can be used instead of the keyboard 1-11, mouse 1-12 and display 1-13.

Furthermore, the information terminals 2 to 4 can be equipped with a GPS module 1-08 as a position acquisition unit for acquiring position information, in addition to the server configuration described above. The information terminals 2 to 4 can also collect information from peripheral sensors and cameras via the communication NIC.

The CPU 1-01 is hardware (processor) that controls each device, reads a predetermined computer program from the memory 1-02, and executes various processes by executing the read computer program.

The memory 1-02 temporarily holds a computer program that defines the operation of the CPU 1-01 and control data used in the processing of the CPU 1-01. The communication NIC 1-03 is a communication device that is communicably connected to another device via the communication network 5. FIG. The storage device 1-04 is composed of, for example, a hard disk or flash memory, and holds a computer program that defines the operation of the CPU 1-01. The computer program stored in the storage medium described above can also be transferred to the memory 1-02 or storage device 1-04 via the input/output controller 1-05 or communication NIC for storage. A computer program stored in either or both of memory 1-02 and storage device 1-04 may be transferred to and stored in a storage medium.

FIG. 3 is an explanatory diagram showing the relationship between the database (DB in the figure) of the behavior modification guidance server 1 and the table. The behavior modification guidance server 1 holds, for example, a passenger database 1-D1, a facility database 1-D2, and a transportation database 1-D3.

The passenger database 1-D1 is a database that manages information about passengers targeted by the behavior modification guidance system 10. The passenger database 1-D1 includes, for example, a passenger basic information table 1-D1-1, a passenger nudge table 1-D1-2, a passenger nudge Bayes net (CPT/link coefficient table) 1-D1-3, and a passenger estimated nudge extraction table. 1-D1-4, passenger message template table 1-D1-5, passenger questionnaire result information table 1-D1-6, passenger tracking data table 1-D1-7, passenger boarding request log table 1-D1-8, passenger Includes nudge usage history table 1-D1-9.

The facility database 1-D2 is a database that manages information about facilities targeted by the behavior modification guidance system 1. The facility database 1-D2 includes, for example, a facility basic information table 1-D2-1, a facility nudge table 1-D2-2, a facility nudge Bayes net (CPT/link coefficient) table 1-D2-3, and a facility estimation nudge extraction table. 1-D2-4, a facility message template table 1-D2-5, and a facility nudge usage record data table 1-D2-6.

The transportation database 1-D3 is a database that manages information about transportation means (transportation vehicles) targeted by the behavior modification guidance system 1. The transportation database 1-D3 includes, for example, a transportation basic information table 1-D3-1, a transportation nudge table 1-D3-2, a transportation nudge Bayes net (CPT/link coefficient) table 1-D3-3, and a transportation schedule/diagram table. 1-D3-4, including transportation operation information data table 1-D3-5. Examples of each table will be described later.

FIG. 4 shows the module configuration and processing flow developed in the memory of the behavior modification guidance server 1. The behavior modification guidance server 1 has modules such as a communication processing unit 11, an operation/arbitration control unit 12, a nudge activation control unit 13, a nudge generation unit 14, and a nudge probability calculation unit 15, for example.

The nudge generation unit 14 combines different nudges for multiple targets, or controls activation and non-activation of the nudges. The nudge generation unit 14 includes, for example, a passenger basic information table detection unit 14-1, a passenger tracking data detection unit 14-2, a passenger boarding request difference detection unit 14-3, a boarding request comparison detection unit 14-4, and transportation operation information data. Acquisition unit 14-5, emotion estimation detection unit 14-6, passenger estimation nudge extraction unit 14-7, passenger nudge table reference unit 14-8, passenger estimation nudge extraction list reference unit 14-9, nudge content confirmation inquiry unit 14- 10 included.

The passenger basic information table detection unit 14-1 detects a table that stores passenger basic information. The passenger tracking data detector 14-2 detects passenger tracking data. A passenger boarding request difference detection unit 14-3 detects a difference in boarding requests of passengers. The boarding request comparison detection unit 14-4 detects the boarding request comparison result. The transportation operation information data acquisition unit 14-5 acquires transportation operation information data. The emotion estimation detection unit 14-6 estimates the emotion of the passenger. The passenger estimation nudge extractor 14-7 estimates the nudge given to the passenger. The passenger nudge table reference unit 14-8 references the passenger nudge table. A passenger estimated nudge extraction list reference unit 14-9 refers to a list of extracted nudges estimated for passengers. A nudge content confirmation inquiry unit 14-10 inquires about confirmation of nudge content.

The nudge generation unit 14 discovers nudges from the behavioral information of passengers and facilities, and generates nudges in a usable state. The nudge generation unit 14 includes, for example, an operation status grasping unit 13-1, a boarding request guidance processing unit 13-2, a guidance nudge creation unit 13-3, a correction request confirmation unit 13-4, and an estimated passenger nudge table writing unit 13-. Including 7.

The operating status comprehension unit 13-1 comprehends the operating status. The boarding request guidance processing unit 13-2 guides boarding requests. The guidance nudge creating unit 13-3 creates nudges for guiding passengers. A correction request confirmation unit 13-4 confirms a correction request to the nudge. Passenger estimated nudge table writing section 13-7 writes estimated nudges into the table.

The operation/arbitration control unit 12 arbitrates with transportation means, facilities, and passengers, and manages operation. The operation/arbitration control unit 12 includes, for example, a boarding/alighting request processing unit 12-1, an alternative plan proposal unit 12-2, a proposal acceptance reception unit 12-3, an emotion information reception unit 12-4, and a passenger estimation nudge table writing unit. Including part 12-7. The boarding/alighting request processor 12-1 processes a boarding request and a boarding/alighting request. The alternative proposal section 12-2 proposes alternatives. The proposal acceptance acceptance unit 12-3 accepts acceptance of the proposal. Emotional information receiving section 12-4 receives emotional information. Passenger estimated nudge table writing section 12-7 writes estimated passenger nudges to the table.

The communication processing unit 11 is in charge of communication with each of the information terminals 2-4. The communication processing unit 11 includes, for example, a message receiving unit 11-1 and a message transmitting unit 11-2. The operation/arbitration control unit 12, the nudge activation control unit 13, and the nudge generation unit 14 will be further described later.

FIG. 5 determines the routes and schedules of transportation vehicles based on arbitration processing between a behavior modification guidance system 10 (hereinafter sometimes abbreviated as system 10) and passengers regarding boarding requests from passengers. FIG. 10 is a sequence diagram showing a process for performing;

First, when the passenger uses the passenger information terminal 2 to transmit a boarding request (2-41), after processing PA is executed, a screen with nudge information (2-42) is displayed, The passenger determines (2-43) whether or not to modify the boarding request. When making a correction request, processing PB is performed. Details of the processing PA and the processing PB will be described later. After that, the passenger information terminal 2 transmits a request for boarding the transport vehicle (final boarding request) to the operation planning server 8 (2-911). The final boarding request includes a departure point at which the passenger boards the transport vehicle and an arrival place at which the passenger exits the transport vehicle.

When the operation planning server 8 receives the final boarding request from the passenger information terminal 2, the transportation vehicle operation management server 7 presents the departure location and the arrival location and inquires of the transportation vehicle that the passenger can use (8- 911).

Upon receiving the inquiry from the operation planning server 8, the transportation vehicle operation management server 7 selects available transportation vehicles based on the presented departure and arrival locations (7-911), Notice. One or more transport vehicles are then notified.

The operation planning server 8 checks whether there is a transport vehicle that satisfies the passenger's wishes among the transport vehicles notified by the transport vehicle operation management server 7 (8-912). If there is a transport vehicle that satisfies the passenger's wishes, the operation planning server 8 selects that transport vehicle (8-913).

The request (final boarding request) of the operation planning server 8 includes a request to change the route of the transport vehicle so that the transport vehicle passes through a place near the departure place or the arrival place (hereinafter referred to as a nearby pick-up request). (8-914). If step 8-912 returns "No", go to step 8-914.

If there is no nearby pick-up request, the operation planning server 8 sets a stop near the departure place as a stop where the passenger should get on, a stop near the arrival place as a stop where the passenger should get off, and sets these stops as stop positions. One or more available transport vehicle candidates are notified to the passenger information terminal 2 together with the stop positions (8-915). The passenger information terminal 2 displays on the terminal screen the transport vehicle candidates and stop information notified from the operation planning server 8 as candidates that can be used by passengers (2-912).

Trip planning server 8 determines at step 8-914 that if the final boarding request includes a nearby pick-up request, i.e., if there is a request to change the route, the passenger issuing the request has already boarded an available transport vehicle. A request is made to the transportation vehicle operation management server 7 for information on the dissatisfaction expected to arise from the passengers who are traveling with the vehicle and information on the costs incurred by changing the operation of the transportation vehicle (7-912). If the service of a transport vehicle is changed, passengers already on board the transport vehicle may be dissatisfied if the transport vehicle arrives late at their drop-off location.

The transportation vehicle operation management server 7 requests the passenger information management server 6 for information on the points possessed by the passenger who issued the request (6-911). Here, the points are information indicating the degree of contribution of passengers to the use of transport vehicles in numerical form. For example, the passenger can calculate the contribution based on the walking distance due to the change of the boarding point or the drop-off point in response to the change of the initial boarding request.

In addition to the degree of contribution related to the use of transportation vehicles, for example, the degree of contribution related to the use of facilities may also be considered. Furthermore, the weight may be set according to the type of contribution, such as setting a large weight to the degree of contribution related to the use of transportation vehicles.

The transport vehicle operation management server 7 keeps track of the passengers boarding each transport vehicle. The passenger information management server 6 grasps dissatisfaction information of all passengers. The transportation vehicle operation management server 7 cooperates with the passenger information management server 6 to acquire dissatisfaction information of all passengers boarding the transportation vehicle to be processed, and based on the dissatisfaction information, all Calculate the total value of dissatisfaction generated by passengers (7-912).

For example, the transportation vehicle operation management server 7 calculates the total value of dissatisfaction that occurs when all passengers of the transportation vehicle express dissatisfaction when the operation of the transportation vehicle is changed. The transportation vehicle operation management server 7 calculates the cost caused by changing the operation of the transportation vehicle. The transportation vehicle operation management server 7 notifies the operation planning server 8 of the calculated total dissatisfaction value information and the calculated cost information (7-912).

The passenger information management server 6 keeps track of the points possessed by all passengers. The passenger information management server 6 notifies the operation planning server 8 of the points possessed by the passenger who issued the request (final boarding request) (6-911).

The operation planning server 8 extracts transportation vehicles and boarding locations that satisfy the conditions for nearby pick-ups between the departure location and the stops on the basic route, and extracts transportation vehicle candidates for the passengers who issued the requests. (8-916).

At step 8-915 or step 8-916, the operation planning server 8 selects candidates for transport vehicles on which the passenger who issued the request rides. The operation planning server 8 collects the points possessed by the passengers who wish to ride and issue requests, and the dissatisfaction of all the passengers of the transport vehicles that is expected to occur if the operation of the transport vehicles is changed based on the requests. total dissatisfaction at that time).

If the number of points possessed by the requesting passenger is greater than the expected dissatisfaction of all the passengers of the transport vehicle, it is determined that the operation of the transport vehicle can be changed according to the request, and the requesting passenger After the selection, a change of service is determined. A predetermined number of points are collected from the passenger who issued the request when it is decided to change the operation of the transport vehicle.

Regardless of whether the operation of the transport vehicle has changed or not, the dissatisfaction of each passenger on board the transport vehicle is calculated and points are awarded to each passenger in the manner described above.

Conversely, if the total expected dissatisfaction of all passengers is greater than the points possessed by the passenger who issued the request, the operation of the transport vehicle will not be changed based on the request. In this case, no points will be collected from the passenger issuing the request.

However, the dissatisfaction of each passenger on board the transport vehicle will be calculated independently of the fact that the operation of the transport vehicle has not changed, and points will be awarded to each passenger as necessary.

When the operation planning server 8 selects candidates for the transportation vehicle and boarding place for the passenger who issued the request, the request that is expected to occur in the future based on the history of issuance and fulfillment of past requests is determined using random numbers. , and expected requests may be taken into account when selecting candidates.

The operation planning server 8 not only compares the points possessed by the passengers who wish to board and issue requests, and the predicted dissatisfaction of all the passengers of the transport vehicle, but also determines if the operation of the transport vehicle is changed based on the request. Candidates may be selected such that the additional cost incurred in In addition, the operation planning server 8 may satisfy a condition based on the points possessed by the passenger who issued the request and the dissatisfaction of all passengers who have already boarded, or a condition based on the points, the dissatisfaction and the additional cost. A plurality of candidates may be selected as long as is satisfied.

The passenger information terminal 2 of the passenger who issued the request displays the candidates selected by the operation planning server 8 and prompts the passenger to make a selection (2-912). For example, when the passenger who issued the request selects one of the candidates displayed on the passenger information terminal 2, the passenger information terminal 2 notifies the operation plan server 8 of information indicating the selected candidate. (2-913).

The operation plan server 8 changes the operation of the transportation vehicle based on the candidate transportation vehicle and boarding place notified from the passenger information terminal 2, and updates the operation schedule of the transportation vehicle according to this operation change (8- 917). The operation planning server 8 notifies the transportation vehicle operation management server 7 and the transportation vehicle operation instruction terminal 3 of the new timetable. The transportation vehicle operation management server 7 records the new timetable notified from the operation planning server 8 in the database (7-913). Further, the transportation vehicle operation instruction terminal 3 displays the new timetable notified from the operation planning server 8 on the terminal screen (3-911).

FIG. 6 is a sequence diagram of the process of obtaining responses to questionnaires from passengers. In this embodiment, responses to a questionnaire are obtained from passengers when they get off the train. When the transport vehicle stops at the stop place, the transport vehicle operation instruction terminal 3 of each transport vehicle reports to the transport vehicle operation management server 7 and the operation planning server 3 that the transport vehicle has stopped at the stop place (3-1011). The stop place may be a predetermined stop, a stop requested by a passenger, or a place other than a stop.

When the transport vehicle operation management server 7 receives a stop report from the transport vehicle operation instruction terminal 3, the transport vehicle operation management server 7 may record the report as information accompanying the travel log table of the transport operation information data table 1-D3-5 (7 -1011).

Upon receiving the stop report, the operation planning server 8 confirms the transport vehicle that stops and the stop place based on the stop report (8-1011), and extracts passengers who get off at the stop place from the transport vehicle (8-1012). . Further, the operation planning server 8 sends a questionnaire to the passenger information terminals 2 of the extracted passengers (8-1013).

The passenger information terminal 2 displays the questionnaire received from the operation planning server 8 on the terminal screen (2-1011). An example of the questionnaire is shown in screen 2-0503 of FIG. In this example, a simple questionnaire is used asking whether or not they were satisfied with the use of the transport vehicle. Passengers can respond to the questionnaire with either satisfaction, dissatisfaction, or no response. The passenger information terminal 2 transmits the questionnaire information indicating the answers input by the passenger to the questionnaire to the passenger information management server 6 (2-1012), and proceeds to process PB. Processing PB will be described later.

Upon receiving the questionnaire information (6-1011), the passenger information management server 6 updates the dissatisfaction value and points for each passenger who used the transportation vehicle based on the questionnaire information (6-1012). If the answers to the questionnaire indicate dissatisfaction, the passenger information management server 6 calculates the dissatisfaction value and adds the dissatisfaction value to the points. The passenger information management server 6 reflects the update result in a predetermined database (6-1013).

When the transport vehicle arrives at the terminal stop, the transport vehicle operation instruction terminal 3 of the transport vehicle reports to the transport vehicle operation management server 7 and the operation planning server 8 that the vehicle has stopped at the terminal stop (3-1012). In this example, no passengers get off at the terminal stop.

Upon receiving the stop report, the transport vehicle operation management server 7 updates the travel log table in the transport operation information data table 1-D3-5 based on the stop report (7-1012). Upon receiving the stop report, the operation planning server 8 confirms the transport vehicle to stop and the stop location based on the stop report (8-1014).

FIG. 7 shows a display example of the passenger information terminal 2. A person who wishes to ride (a passenger who issues a request) transmits necessary information to the operation planning server 8 before using the transportation vehicle. As shown in the screens 2-0501 and 2-0502, when using a transport vehicle, a person who wishes to ride selects a departure place, an arrival place, a desired arrival time, a preferred bus, etc., and sends them to the operation planning server 8 . Since the screens displayed on the passenger information terminal 2 are displayed by so-called vertical scrolling, some items are duplicated in the screens 2-0501 and 2-0502 of FIG.

When selecting the "departure point", for example, it is possible to select from the current location (home) of the person who wishes to ride, the nearest place, or the nearest stop. For the selection of "arrival place", for example, facility names such as hospitals, stations, shopping malls, and restaurants can be selected. By displaying a map and a search window on the screen 2-0501 or 2-0502 and specifying a position on the map or a facility name, the arrival place can be selected.

In "desired arrival time", the person who wishes to ride specifies the desired time to arrive at the destination. "Favorite bus" designates a bus having properties that the person who wishes to ride prefers, such as time priority, interval priority, seating priority, or quietness priority.

Using FIG. 8, two types of nudges used in this embodiment will be described. In this embodiment, nudge is used in the sense of "information prompting action". One type of nudge is a "disseminated nudge", which is information that can change the behavior of other individuals or other legal entities, or information that is easy to disseminate to other individuals or other legal entities. Another type of nudge is "receiving" nudge, which is information that is likely to change one's behavior or information that is difficult for oneself to disseminate.

Outgoing nudges include, for example, advertising information, information that shows oneself in a positive or negative way, information that attracts (attractive) third parties or deters third parties from acting, and general information. (regular holidays, business hours), your own characteristics (strengths and weaknesses), your position (including weaknesses), etc.

Incoming nudges include, for example, information that the person himself/herself does not declare, information that he/she cannot declare, information that he/she is not aware of (including dissatisfied information), information that fascinates him/herself, information that he/she is interested in, but , information that is difficult to disclose to others, and situations that you would like to avoid (information that is difficult to declare publicly, such as "I don't want to ride with this person").

Figure 8 shows the relationship between originating and receiving nudges in each of the transportation, facility, and passenger systems. Originated and received nudges for transportation vehicles, originated and received nudges for facilities, and originated and received nudges for passengers may be interrelated. Examples of transportation, facility, and passenger nudges are described below.

<Transportation type nudge>
(1) There are 5 vacant seats left in the transport vehicle currently running Route A.
(2) There will be 2 vacant seats when the transport vehicle on Route B enters Toyosu 4-chome.
(3) Currently, there are 0 transport vehicles that can be operated.
(4) The driver is taking a break.

<Receiving-type nudge of transport system>
(1) It is easy to stop at a place (in front of the facility) where many people tend to gather (this is indicated by a geofence on the map).
(2) We do not want to make a person who has a high degree of contribution to walking walk.
(3) I don't want the elderly or wheelchair users to walk.
(4) Number of transportation vehicles, number of drivers, operating hours

<Institution-based nudge>
(1) In-store live camera video (real-time broadcast of inventory, prices, etc.)
(2) Today's congestion forecast graph (3) If it is 3:00 pm, three seats by the window can be reserved.
(4) Currently, an average of 6 people are waiting at the register.
(5) Today is a regular holiday.
(6) There will be a time sale from 4:00 pm.

<Facility-based reception type nudge>
(1) I want to sell out all the lunch boxes by the end of the day.
(2) We want to attract 80% of customers even in rainy weather.
(3) I don't want more than 100 people to come.
(4) One wheelchair user can be accommodated at a time.

<Passenger system nudge>
(1) I travel with an infant/child (stroller).
（２）I can walk fast.
(3) I am an elderly person.
(4) I am a wheelchair user.
(5) I have already walked 3.2 km (high contribution to this system).

<Passenger system receiving type nudge>
(1) I want to give up my seat to an elderly person.
(2) I want to give up my seat to a wheelchair user.
（３）I like steak restaurants.
(4) I don't want to ride with a member of society or a man.
(5) I like time sales.
（６）I go to the supermarket often.
(7) I use a transportation vehicle at least once a day.

For example, we can see that the term "wheelchair" can be a receiving-type nudge for transportation, a receiving-type nudge for facilities, or a receiving-type/sending-type nudge for passengers.

　FIG. 9 is a sequence diagram of the process PB in FIG. In the process PB, the transmitting system nudge and the receiving system nudge explained in FIG. 8 are found and generated.

After starting the process PB, the passenger basic information table detection unit 14-1 and the passenger tracking data detection unit 14-2 detect the individual from the passenger basic information table 1-D1-1 and passenger tracking data table 1-D1-7 personal information and tracking data (14-11).

The passenger basic information table 1-D1-1 records, for example, the passenger's name, gender, date of birth, location coordinates, occupation, and so on. Furthermore, vital data such as weight, height, average heart rate, blood pressure, and amount of exercise may be managed.

The passenger tracking data table 1-D1-7 manages the position coordinates of passengers for each time. From the position coordinates acquired from the passenger information terminal 2, it is possible to measure when and where the passenger is almost in real time. From the tracking data, it is possible to read, for example, the passenger's ground moving speed, boarding time, and boarding/disembarking time (14-12).

In the graph of the tracking data shown in FIG. 9, the horizontal axis indicates time (estimated value), and the vertical axis indicates the passenger's moving speed. The tracking data includes, for example, the time T1 for the passenger to move to the departure location, the time T2 required for the passenger to board, the time T3 for the passenger to use the transportation vehicle (boarding time), the time T4 required for the passenger to get off, and the passenger's arrival location. The speed of the passenger is recorded every time T5 moving from .

The estimated passenger nudge extraction unit 14-7 refers to the estimated passenger nudge extraction table 1-D1-4 (14-13), extracts nudges that meet the detection conditions (14-14), Record in the nudge table 1-D1-2 (14-15).

For example, if it is observed that ``a passenger travels 2 meters and a minute or more has passed during the boarding/disembarking process,'' there is a high probability that the passenger is a wheelchair user. Add an entry as Furthermore, the passenger boarding request difference detection unit 14-3 refers to the passenger boarding request log table 1-D1-8 (14-16).

Another example of the passenger estimation nudge extraction table 1-D1-4 will be explained. For example, if "the distance traveled by a passenger on the ground is within 100 meters", the passenger is presumed to be a disabled person, an elderly person, or a wheelchair user. If "the total distance traveled by a passenger on the ground is within 500 meters each time," it is presumed that the passenger has no difficulty in walking or has high literacy in mutual concession. If "the distance traveled by the passenger using the transportation vehicle is within 1 kilometer", the passenger is presumed to be disabled, elderly or wheelchair user. If "the passenger's average walking speed is 3 kilometers per hour or less", the passenger is presumed to be disabled or elderly.

The passenger nudge table 1-D1-2 records nudge attributes (originating nudge or receiving nudge), entry category and content (for example, wheelchair users as a category), and estimated nudge value (count). . The estimated nudge value indicates positive for positive values and negative for negative values.

The passenger boarding request log table 1-D1-8 stores information on boarding requests issued by passengers. When boarding requests are issued multiple times, the passenger boarding request log table 1-D1-8 stores the issuing times, departure places, and arrival places of all of them.

FIG. 10 is a continuation of the sequence diagram of FIG. The boarding request comparing/detecting unit 14-4 determines whether the passenger has changed the first boarding request and the second boarding request (14-17) or has not made the second boarding request (withdraws the request). Judgment (14-18).

The boarding request comparing/detecting unit 14-4 calculates the distance from the "initial departure/arrival coordinates" and the "corrected departure/arrival coordinates" of the passenger boarding request log table 1-D1-8, thereby obtaining the "boarding request." The presence or absence of "change" can be detected (14-17). The boarding request comparing/detecting section 14-4 can detect that "the boarding request has been withdrawn" if the "corrected departure/arrival coordinates" of the passenger boarding request log table 1-D1-8 is blank. Yes (14-18).

The estimated passenger nudge extracting unit 14-7 extracts the content of the nudge displayed on the passenger information terminal 2 or the facility information terminal 4 to the passenger nudge usage record table 1 when the boarding request is "changed" or "withdrawn". - Describe in D1-9. A specific example of the display nudge recorded in this table 1-D1-9 will be described later (14-19).

The transport operation information data acquisition unit 14-5 acquires the time zone in which the passenger requests boarding and the information of other passengers' boarding requests from the passenger tracking data table 1-D1-7 (14-20 ), and generates a group (cluster) of passengers from the obtained information (14-2A).

The passenger estimation nudge extraction unit 14-7 checks whether these passenger boarding requests have moved to this cluster (14-21). After confirming the movement of the boarding request, the estimated passenger nudge extractor 14-7 writes the information in the passenger nudge use record table 1-D1-9 together with the time when the change occurred (14-22).

FIG. 11 is a continuation of the sequence diagram of FIG.

The emotion estimation detection unit 14-6 accesses the transport operation information data 1-D3-5 of the transport vehicle operation management server 7, and detects problems (normalized (14-23). The emotion estimation detection unit 14-6 confirms the customer class in the transport vehicle or the passenger (passenger ID) of the transport vehicle (14-24). The customer class of passengers indicates the types of passengers (office workers, students, housewives, children, etc.) riding the transport vehicle. Further, the emotion estimation detection unit 14-6 obtains the questionnaire result from the passenger questionnaire result information table 1-D1-6 of the passenger information management server 6 (14-25).

The emotion estimation detection unit 14-6 confirms the results of the questionnaire (whether or not there is dissatisfaction) (14-26), and adds or deletes entries in the passenger nudge table 1-D1-2 according to the results of the questionnaire. or update the value of the nudge value (14-27).

　If the questionnaire result is "dissatisfied", various problems (noise, fellow passengers, etc.) encountered by passengers while boarding the transportation vehicle are entered as negative nudge information. On the other hand, if the questionnaire result is "no dissatisfaction", it is entered as positive nudge information.

The above method is a method of extracting nudges using the operation status of transportation vehicles, but if this method is used, it is possible to extract nudges from facilities (stores, etc.) as well.

For example, by using the problems that passengers encountered during the service (delay / congestion / noise / number of empty seats), information on the customer base and passengers in the facility, and the results of questionnaires after using the facility can be processed.

Questionnaire is used as a method to measure the dissatisfaction of passengers, but it is not limited to this, but it is possible to estimate the emotions of passengers using technology to analyze facial expressions and vital data such as perspiration or heart rate. can also

FIG. 12 is a sequence diagram showing the process of determining incoming nudges and outgoing nudges. When the passenger information terminal 2 is activated (2-30), the passenger nudge table reference unit 14-8 refers to the passenger nudge table 1-D1-2 (14-30) to see if a new receiving type nudge has been added. (14-31).

When a new reception type nudge is added, the passenger estimated nudge extraction list reference unit 14-9 references the passenger message template table 1-D1-5 (14-32). The passenger message template table 1-D1-5 manages estimated nudges and message templates in association with each other. For example, if the presumed nudge is "wheelchair user", the first question is "Do you usually use a wheelchair?" A message template such as . If the presumed nudge is "handicapped or elderly", the first question is "Do you usually walk outdoors?" ” is associated with the message template. If the presumed nudge is "a person with high mutual concession literacy", the message template for the first question "Do you usually walk a lot?" be associated.

Referring to the content of the passenger message template 1-D1-5 from the estimated nudge, the nudge content confirmation inquiry unit 14-10 sends a question (first question) for receiving type nudge confirmation to the passenger information terminal. 2 (14-33), and the question is displayed on the passenger information terminal 2 (2-31). When the passenger inputs an answer to this question (2-32), acceptance or rejection of the receiving type nudge is confirmed (14-34).

The nudge content confirmation inquiry unit 14-10 creates a confirmation message (second question) asking whether the received nudge can be used as a transmitted nudge, and transmits it to the passenger information terminal 2 (14 -35), and displays the question on the passenger information terminal 2 (2-33). When the passenger inputs an answer to the question (2-34), the acceptance or rejection of the transmission type nudge is confirmed (14-36). At steps 2-32 and 2-34, the nudge is taken if the answer is "yes".

FIG. 13 is a diagram showing an overview of the processing sequence of the nudge activation control unit 13. As shown in FIG. When the passenger information terminal 2 transmits a boarding request (2-41), the operation status comprehension unit 13-1 that has received it receives it from the transportation vehicle operation management server 7, from the past traffic information log or the current traffic information log. , past and present traffic information is obtained (13-11).

After that, after the processing PA (described later) is performed by the boarding request guidance processing unit 13-2, a screen with nudge information is displayed or hidden on the passenger information terminal 2 (2-42). When the passenger views the screen with nudge information and corrects the boarding request (2-43), the correction request confirming unit 13-4 executes the process PB (described later) (13-13).

In both process PA and process PB, the guidance nudge creation unit 13-3 and the passenger estimation nudge table writing unit 13-7 create a passenger nudge table 1-D1-2 and a passenger nudge Bayes net (CPT/link coefficient) table 1-D1-2, respectively. D1-3, facility nudge table 1-D1-2, facility nudge Bayes net (CPT/link factor) table 1-D1-3, transport nudge table 1-D1-2, transport nudge Bayes net (CPT/link factor) table 1-D1-3 is updated.

FIG. 14 is a diagram showing the processing sequence of processing PA (13-12). From the information in steps 13-11 described in FIG. 13, the walking load of the passengers is calculated (13-121), and the route change load (cost) of the transport vehicle required to reduce the walking load (cost) of the passenger is calculated. ) are calculated (13-122) and it is checked whether their total cost is within the threshold (13-123).

If the total cost is within the threshold, there is no need to nudge the passenger, so the process ends (13-124). If the total cost is not the threshold, continue processing (13-125), decide to 'change' or 'withdraw', and change the passenger nudgebayes net ( CPT/link coefficient) Table 1-D1-3 is used to create (13-126). In addition, inference calculations of passenger nudge Bayes nets based on policies to "change" or "withdraw" ride requests are performed to compute probabilities of nudges leading to those policies (13-127).

　The information necessary to implement the above policy is selected by the following process. By referring to the passenger tracking data table 1-D1-7, the boarding request status of other passengers is acquired (13-128), and by referring to the past operation information log of the transportation vehicle operation management server 7, Acquire past route/stop information (13-129), refer to transportation nudge Bayes net (CPT/link coefficient) table 1-D3-3, and acquire valid facility nudge information (13-12A) , create a smartphone screen with nudge information (13-12B).

FIG. 15 is a diagram showing the processing sequence of processing PB (13-13). When the change of boarding request (2-43) is received from the passenger information terminal 2, it is confirmed whether the correction is "1: change of requested place" or "2: withdrawal" (13-131). In the case of "1:", enter the position information of the original/corrected boarding request in the passenger nudge usage record table 1-D1-9 (13-132), and enter the facility nudge usage record table 1-D2-6 as follows: The contents of the facility information that induced the change are entered (13-133).

In the case of "2:", enter the reason for the withdrawal in the passenger nudge use record table 1-D1-9 (13-134), and enter the facility information of what content in the facility nudge use record table 1-D2-6. , enter whether or not the user was induced to withdraw (13-135).

Fig. 16 shows an example of the CPT of the Passenger Nudge Bayes Net (CPT/Link Coefficient) Table 1-D1-3

CPT is an abbreviation for Conditional Probability Table (CPT). This table is a table showing how passengers changed their behavior when certain nudges were displayed. With this table, it is possible to construct a Bayes net. This CPT has a feature that the accuracy of Bayesian inference is improved by adding information each time a passenger makes a boarding request.

FIG. 17 is a diagram showing an example of N-multiple personalities for the same passenger. Even the same person may act as a completely different personality on working days and vacation days. However, when one tries to infer the behavior of such different personalities using one Bayes net, the inference results may not show a significant difference. If this problem is overlooked, it may not be possible to effectively induce individual passengers to change their behavior.

This problem can be dealt with by preparing all the necessary Bayes net nodes in advance and calculating without considering the effectiveness of the nodes, but the number of Bayes net nodes can be increased indefinitely. Doing so causes a computational explosion. Therefore, in the present embodiment, the problem of N-multiple personalities is simplified and processed like the personality on working days and the personality on vacation days.

For example, the personalities of workdays are "prioritize work", "prioritize departure/arrival time", "fixed arrival/departure times", "hope to avoid congestion (sometimes)", and "holidays are not necessarily weekends." Their behavior tends to change depending on the day of the week.” On the other hand, the personalities of vacation days are, for example, "prioritize entertainment/relaxation", "activate high mutual concession literacy", "weak travel time/time zone restrictions", "prefer empty seats (sometimes)", " Their behavior is likely to change depending on the weather/temperature/season." In a simple example, a person who hates being late for his bus because he is in a bad mood on workdays is in a good mood on a vacation day, so his bus is an elderly passenger. There are cases where it doesn't matter if it's a little late because of it.

FIG. 18 is an explanatory diagram showing a dynamic change method for constructing a Bayes net for solving the N-multiple personality problem for the same person (passenger). As shown in FIG. 8, this problem is solved by preparing nodes of information that generate N-multiple personalities and adopting nodes judged to be sufficient for meaningful inference.

For example, the input side shown on the left side in FIG. "Display reservation information", "Display reservation information for people with disabilities", "Display supermarket congestion information", "Display supermarket time sale information", "Display restaurant congestion status", Information such as "Display the restaurant's vacant seat time" is described.

On the output side shown on the right side of FIG. 18, for example, "(1) Passenger A canceled/did not cancel the reservation process", "(2) Passenger A selected 'jump-on'", and "(3) Passenger A has/has not changed the boarding position”, “(4) Passenger A has changed/has not changed the boarding position”, “(A) by position, (B) by time, (C) by day of the week, (D ) by month (by season), and (E) clustering”.

FIG. 19 shows an example of information used in the dynamic change method of constructing a Bayes net. Factors that generate different personalities include (A) boarding request, (B) time of use, (C) day of the week, and (D) season and month. In addition, there is a method such as (E) clustering that combines the above factors. (E) In the case of clustering, an image of a method for clustering factors in a three-dimensional space by the K-Mean method or the like is displayed.

FIG. 20 is an explanatory diagram showing the processing sequence of the nudge probability calculation unit 15. As shown in FIG. Since there are a plurality of nudged Bayes nets for each object, the amount of computation increases. Therefore, this processing is performed asynchronously with communication.

First, the nudge probability calculation unit 15 creates a Nudge Bayes net using the CPT required for nudge construction (15-1), and performs test input to the constructed Nudge Bayes net (15-2). For example, only one node on the output side is activated, the other nodes are deactivated, and the value of the node on the input side is examined. The nudge probability calculation unit 15 checks whether an inference result showing a significant difference in the input side value can be selected (15-3).

If no significant difference appears, the nudge probability calculation unit 15 adds a node for alternate personality detection (15-4). When the number of nodes exceeds the upper limit (15-4), the nudge probability calculation unit 15 writes that in the log and terminates the process (15-6).

Add nodes with the above elements (A) to (D) to reconstruct the Nudge Bayes net, perform test input again (15-7), and repeat until the pattern ends (15- 8). When it is determined that a significant result has been obtained (15-9), the CPT registration and Baynet construction are completed (15-10), and the process ends.

Fig. 21 is an explanatory diagram of guidance to a transportation resource by a nudge for a target passenger. A boarding request to move to a supermarket at 14:00 when there is a route that a transportation vehicle company (transportation service provider) wants to guide at 14:00 from past operation information, and Assume that there is a request to ride to a steakhouse (90-1).

In this case, to change or withdraw these competing ride requests, display a nudge on the icon of the supermarket saying "There is a time sale from 16:00", or , a nudge is displayed on the icon of "There are 3 seats available from 17:15". This may change the behavior of the passenger who issued the competing boarding request, causing him to change or withdraw the boarding request (90-2).

Conversely, if there is a nudge that makes it difficult to change or withdraw the boarding request, it is intentionally not displayed, and only the nudge that changes or withdraws the boarding request is displayed to induce the request to be changed ( 90-3). For example, instead of displaying time sale information on the icon of a supermarket, it is possible to make a passenger who wanted to go to the supermarket at 14 o'clock withdraw the boarding request by displaying "currently there is a long line at the cash register". increases.

FIG. 22 is an explanatory diagram of guiding passengers other than the target passenger to the transportation resource by nudging. When there is a boarding request (91-1), the boarding/alighting information of the wheelchair user is displayed here as a nudge to guide the user to change the boarding request (91-2).

In other words, by nudging healthy passengers about the boarding request of a wheelchair user (target passenger) who uses a common transportation vehicle, the possibility of changing (correcting) the boarding request of other passengers increases.

FIG. 23 is an explanatory diagram showing the routes of transportation vehicles and the guidance of passengers by disclosing passenger boarding information.

If the boarding request exists as a cluster (92-1), the past operation and stop are displayed on the passenger information terminal 2 as undetermined information (92-2). This guides the passenger to change the boarding request position (92-3).

FIG. 24 is an explanatory diagram that guides the withdrawal of passenger requests by disclosing transportation resources. In response to the boarding request (93-1), the passenger information terminal 2 is caused to display that there is no margin in the traffic resource, thereby guiding the passenger to withdraw the boarding request (93-2).

It should be noted that the present invention is not limited to the above embodiments, and includes various modifications. For example, the above-described embodiments have been described in detail in order to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the described configurations. In addition, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Moreover, it is possible to add, delete, or replace a part of the configuration of each embodiment with another configuration.

In addition, each of the above configurations may be configured in part or in whole by hardware, or may be implemented by executing a program on a processor. Further, the control lines and information lines indicate those considered necessary for explanation, and not all control lines and information lines are necessarily indicated on the product. In practice, it may be considered that almost all configurations are interconnected.

1: behavior change guidance server, 2: passenger information terminal, 3: operation instruction terminal, 4: facility information terminal, 5: communication network, 6: passenger information management server, 7: transportation vehicle operation management server, 8: operation plan server 10: Behavior modification guidance system 11: Communication processing unit 12: Operation/arbitration control unit 13: Nudge activation control unit 14: Nudge generation unit 15: Nudge probability calculation unit

Claims (8)

1. A behavior modification guidance system for inducing behavior modification of a user,
   Based on tracking information of a user who moves to a desired service providing location using a means of transport, a request from the user to board the means of transport, and the states of other users who use the means of transport together with the user. , a nudge generator that generates a plurality of nudges that change the behavior of the user or the other user;
   a nudge activation control unit that controls activation of a predetermined nudge among the plurality of generated nudges;
   A behavior modification guidance system comprising a communication processing unit that transmits a control result of the nudge activation control unit to an information terminal used by the user and an information terminal used by the other user.
2. 2. The nudge generation unit generates, as the plurality of nudges, a first nudge in which the user influences behavior of the other user and a second nudge in which the user is influenced by the other user. Behavior modification guidance system according to.
3. The nudge activation control unit is capable of determining whether to activate at least one of the plurality of nudges as the predetermined nudge or not to activate any of the plurality of nudges. The described behavioral modification induction system.
4. Further comprising an emotion detection unit that detects emotions of other users in relation to the user,
   2. The behavior change guidance system according to claim 1, wherein the nudge generator generates a plurality of nudges for subsequent times based on the detected emotion of the other user.
5. 2. The behavior change guidance system according to claim 1, wherein when the user or the other user takes a plurality of different actions according to the external environment, each of the different actions is treated as a different person.
6. 2. The behavior modification guidance system according to claim 1, wherein said nudge activation control unit uses a Bayes net.
7. The nudge generation unit generates the 2. The behavior modification guidance system according to claim 1, wherein a plurality of nudges for modifying the behavior of the user or the other user are generated.
8. A computer program that causes a computer to function as a behavior modification guidance system that guides behavior modification of a user,
   Based on tracking information of a user who moves to a desired service providing location using a means of transport, a request from the user to board the means of transport, and the states of other users who use the means of transport together with the user. , a nudge generator that generates a plurality of nudges that change the behavior of the user or the other user;
   a nudge activation control unit that controls activation of a predetermined nudge among the plurality of generated nudges;
   A computer program for realizing, on the computer, a communication processing unit for transmitting a control result of the nudge activation control unit to the information terminal used by the user and the information terminal used by the other user.

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