Behavior analysis device and behavior analysis method and guidance information service system

Abstract

To encourage a subject who tends to travel without using public transit in specific sections where public transit is available as an alternative to utilize public transit.SOLUTION: A device has a behavior stage determination part that determines the behavior stage to which the subject's actions should be classified based on the ratio of actual automobile travel, and a guidance information generation part that creates guidance information formatted as guidance content to eliminate behavioral barriers to change according to the behavior stage, stores it in the storage part, and outputs it to a display device positioned at any location within the specific section, after outputting guidance information, the behavior stage determination part again determines the behavior stage corresponding to the subject's behavioral change after exposure to the guidance information, based on history data stored in the storage part following the subject's movement after the guidance information output, the guidance information generation part then modifies the guidance content of the next output guidance information according to whether the behavior stage has changed.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention is suitable for application to a behavior analysis device, a behavior analysis method, and a guidance information providing system relating to a technology for providing guidance information that encourages the use of public transportation, for example. [Background technology]

[0002] In recent years, in order to maintain and improve the global environment, companies have been working to reduce their environmental impact. For example, in terms of transportation, public transportation such as trains and buses emit less CO2 than automobiles, so measures are being considered to encourage a shift to public transportation. "Automobiles" here refers to, for example, private cars, taxis, rental cars, ride-sharing, and motorcycles.

[0003] One method for encouraging behavior that leads to a reduction in environmental impact is to encourage further CO2 reduction by calculating and visualizing the amount of CO2 reduction from the target person's behavioral history. Patent Document 1 discloses a technology that encourages the use of public transportation by displaying on an in-vehicle device the route and CO2 emission reduction amount if public transportation were used to the same destination based on the user's vehicle driving record acquired by the in-vehicle device. Patent Document 2 also discloses a technology that visualizes the amount of CO2 reduction from the target person's usage history and input information of home appliances, and presents guidance information that encourages CO2 reduction in a manner that matches the behavioral characteristics analyzed from the usage history.

[0004] Furthermore, research has shown that when people change their behavior, the obstacles to behavioral change differ depending on the behavioral stage, which is classified by psychological characteristics (see, for example, Non-Patent Document 1). For example, a behavioral obstacle at the lowest stage, goal intention, is insufficient awareness of environmentally conscious behavior due to insufficient basic knowledge. Furthermore, a behavioral obstacle at the next behavioral stage, behavioral intention, is not fully understanding the effects of one's own behavior, even if one understands the need for the behavior. Furthermore, a behavioral obstacle at the next behavioral stage, implementation intention, is not being able to imagine specific behaviors or usage methods. In order to achieve behavioral change, these behavioral obstacles must be removed. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Laid-Open No. 2011-133429 [Patent Document 2] International Publication No. 2022 / 230268

[0006] [Non-Patent Document 1] Basic research on the development of information systems that encourage the continuation of environmentally conscious behaviors using behavioral science and stage models (IPSJ-JNL6305010) Summary of the Invention [Problem to be solved by the invention]

[0007] However, the technology described in Patent Document 1 extracts the travel history of a vehicle using vehicle driving data from an on-board device installed in the vehicle, and is unable to provide guidance information encouraging the use of public transportation while taking into account the travel history of vehicles that do not have an on-board device.Furthermore, the technology described in Patent Document 2 only displays a fixed value of the amount of CO2 reduction when a target person inputs that they have changed their means of transportation from a private car to public transportation, and is unable to provide guidance information encouraging the target person to use public transportation.

[0008] The present invention has been made in consideration of the above points, and aims to propose a behavioral analysis device, a behavioral analysis method, and a guidance information provision system that can encourage the use of public transportation for subjects who tend to travel without using public transportation in specific sections where there are alternative public transportation options. [Means for solving the problem]

[0009] In order to solve this problem, the present invention comprises: a car travel record extraction unit that extracts car travel records that indicate the use of routes other than public transportation travel routes by the subject in a specific section from history data stored in a memory unit as the subject moves; an alternative public transportation confirmation unit that searches for alternative public transportation travel routes in the specific section; a behavioral stage determination unit that determines the behavioral stage into which the subject's behavior should be classified based on the ratio between the public transportation travel records that indicate the subject's use of the public transportation route in the specific section and the car travel records; and a guidance information generation unit that creates guidance information with guidance content for removing behavioral impediments to behavioral change according to the behavioral stage, stores the information in the memory unit, and outputs the information to a display placed at a position in the specific section, wherein after outputting the guidance information, the behavioral stage determination unit again determines the behavioral stage corresponding to the behavioral change of the subject who came into contact with the guidance information based on the history data stored in the memory unit as the subject moves after the output of the guidance information, and the guidance information generation unit changes the guidance content of the guidance information to be output next depending on whether or not there is a change in the behavioral stage.

[0010] Further, in the present invention, there are provided an automobile travel record extraction step in which an automobile travel record extraction unit extracts automobile travel records representing the use of a route other than a public transportation travel route in a specific section by the subject from history data stored in a storage unit as the subject moves; an alternative public transportation confirmation step in which an alternative public transportation confirmation unit searches for an alternative public transportation travel route in the specific section; a behavior stage determination step in which an action stage into which the behavior of the subject should be classified is determined based on a ratio between the public transportation travel record representing the use of the public transportation travel route by the subject in the specific section and the automobile travel record; and a guidance information generation unit that generates guidance information for the action of the subject based on the ratio between the public transportation travel record representing the use of the public transportation travel route in the specific section by the subject. and a guidance information generation step of creating guidance information having guidance content for removing behavioral impediments to behavioral change according to the behavior stage, storing the information in the memory unit, and outputting the information to a display placed at any position in the specific section, wherein in the behavior stage determination step, after outputting the guidance information, the behavior stage determination unit again determines the behavior stage according to the behavioral change of the subject who has come into contact with the guidance information based on history data stored in the memory unit in accordance with the movement of the subject after the output of the guidance information, and in the guidance information generation step, the guidance information generation unit changes the guidance content of the guidance information to be output next according to whether or not there is a change in the behavior stage.

[0011] and a display disposed somewhere within the specific section, wherein the behavior analysis device includes: an automobile travel record extraction unit that extracts automobile travel records that indicate the use of routes other than public transportation travel routes by the subject in a specific section from history data stored in a memory unit as the subject moves; an alternative public transportation confirmation unit that searches for alternative public transportation travel routes in the specific section; a behavior stage determination unit that determines the behavior stage into which the subject's behavior should be classified based on the ratio between the public transportation travel records that indicate the use of the public transportation route by the subject in the specific section and the automobile travel records; and a guidance information generation unit that creates guidance information with guidance content for removing behavioral impediments to behavior change in accordance with the behavior stage and stores it in the memory; and the behavior analysis device includes: a display disposed somewhere within the specific section, wherein after outputting the guidance information, the behavior stage determination unit again determines the behavior stage corresponding to the behavior change of the subject who came into contact with the guidance information based on the history data stored in the memory unit as the subject moves after the output of the guidance information, and the guidance information generation unit changes the guidance content of the guidance information to be output next to the display unit in accordance with whether or not the behavior stage has changed. [Effects of the Invention]

[0012] According to the present invention, it is possible to encourage the use of public transportation among subjects who tend to travel without using public transportation in a specific section where there is alternative public transportation. [Brief explanation of the drawings]

[0013] [Figure 1] 1 is a system configuration diagram showing the overall configuration of a guidance information providing system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a diagram showing an example of subject information data in a subject information database. [Figure 3] FIG. 1 illustrates an example of a car travel OD database with alternative public transport options. [Figure 4] FIG. 10 is a diagram illustrating an example of a behavior stage determination result database. [Figure 5]FIG. 10 is a diagram illustrating an example of a database of stores that implement eco-activities. [Figure 6] FIG. 10 is a diagram illustrating an example of a guidance information definition database. [Figure 7] FIG. 10 is a diagram showing an example of a ticket gate entry / exit record database. [Figure 8] FIG. 10 is a diagram illustrating an example of a payment history database. [Figure 9] 10 is a flowchart illustrating an example of a procedure for a guidance information providing process. [Figure 10] 10 is a flowchart showing an example of a detailed procedure of the OD extraction process of FIG. 9. [Figure 11] FIG. 10 is a diagram showing a process flow for determining a behavioral stage related to behavioral change to public transportation use. [Figure 12] FIG. 10 is a diagram showing a processing flow for creating guidance information. [Figure 13] FIG. 10 is a diagram showing an example of a guide information providing screen displayed on a display terminal. [Figure 14] FIG. 10 is a diagram showing an example of a guide information providing screen displayed on a display terminal. [Figure 15] FIG. 10 is a diagram showing an example of a guide information providing screen displayed on a display terminal. DETAILED DESCRIPTION OF THE INVENTION

[0014] Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings. Fig. 1 is a system configuration diagram showing an example of the overall configuration of a guidance information provision system according to this embodiment. The guidance information provision system includes at least an analysis computer 1 and a display terminal 3. In the guidance information provision system, the analysis computer 1, the display terminal 3, a transportation company terminal 4, and a ticket gate 5 are connected via a network 2. The guidance information provision system has a function of providing guidance information to encourage a target person who tends to underuse public transportation despite the availability of less burdensome public transportation to use a public transportation route (hereinafter also referred to as a "public transportation travel route").

[0015] The analytical computer 1 has, as hardware, at least a memory unit 11 that stores programs and various data, a CPU (Central Processing Unit) 12 as an example of a processor that executes the programs, and a communication I / F (Interface) 13 that communicates via the network 2.

[0016] The display terminal 3 is, for example, a display medium such as a signage installed in a station. The display terminal 3 has a target person detection unit 31 and a display unit 32. The target person detection unit 31 has, for example, a function to detect a target person in the vicinity. The target person detection unit 31 may have a face recognition function that recognizes the face of the target person from an image of the target person captured by a camera, or may be, for example, a device that detects that the target person is in the vicinity of the display terminal 3 by performing data communication via short-range wireless communication using an application installed on a communication device held by the target person. The display unit 32 has a function to display guidance information as described below, and stops displaying the guidance information when the target person moves away from the display terminal 3 or when a certain period of time has passed.

[0017] Although not shown, the display terminal 3, transportation company terminal 4, and ticket gate 5 all have, as hardware, at least a CPU that executes programs, and a communication interface (I / F) that communicates with the network 2. Although not shown, the transportation company terminal 4 has a memory unit that stores programs and various data in addition to the CPU.

[0018] The analysis computer 1 is an example of a behavioral analysis device, and as will be described later, extracts the travel history of a subject who tends not to use public transportation even though alternative public transportation is available (hereinafter also referred to as "automobile travel history"), analyzes the behavioral stage, and generates guidance information. Here, the behavioral stage represents a stage that classifies the proactiveness of a subject's behavior toward environmental protection when traveling within a specific area. Note that "automobile travel history" does not include travel history by walking, bicycle, or other means of transportation that are primarily human-powered (such as kick scooters, skateboards, and roller skates).

[0019] The storage unit 11 stores an analysis program 100 and a database (hereinafter also abbreviated as "DB") 110. The database 110 includes an automobile travel OD database 300, a behavior stage determination result database 400, an ecological activity implementation store (hereinafter referred to as "eco-activity implementation store") database 500, and a guidance information definition database 600. Here, in this embodiment, "OD" refers to the section from the departure point (Origin) to the arrival point (Destination) (hereinafter also referred to as "specific section"). The database 110 may be located on a dedicated server (not shown) that is independent of the analysis computer 1.

[0020] The automobile travel OD database 300 stores information about a specific section (OD) from the departure point to the destination of a subject who tends not to use public transportation even though alternative public transportation is available. The behavioral stage determination result database 400 stores the results of determining the subject's behavioral stage. The eco-friendly store database 500 stores information about stores that are implementing environmentally friendly initiatives. The guidance information definition database 600 defines the guidance content of the guidance information necessary to remove behavioral obstacles for each behavioral stage of the subject. In this embodiment, eco-friendly activities refer to environmental activities, and eco-friendly stores refer to stores that are implementing environmentally friendly initiatives.

[0021] The analysis program 100 includes an automobile travel history extraction unit 101, an alternative public transportation confirmation unit 102, a behavior stage determination unit 103, and a guidance information generation unit 104. Each function is realized by executing this analysis program 100 on the CPU 12. Note that the analysis program 100 does not necessarily need to include individual programs for all of the above-mentioned functions, and may be a collection of independent programs for each function.

[0022] The automobile travel history extraction unit 101 extracts automobile travel history from history data related to the travel patterns of the subject. That is, the automobile travel history extraction unit 101 extracts automobile travel history indicating the subject's use of routes other than public transportation routes in a specific section from history data stored in the memory unit 11 in conjunction with the subject's movements. Specifically, the automobile travel history extraction unit 101 acquires public transportation usage history, payment history, and subject information related to the subject over a certain period of time from the transportation service provider terminal 4, and extracts automobile travel history. The alternative public transportation confirmation unit 102 searches for alternative public transportation routes in the specific section.

[0023] The analysis computer 1 includes a storage unit 11 having an automobile travel OD database 300 with alternative public transportation facilities, which stores automobile travel records and OD information (OD information) representing a specific section including an alternative public transportation route when an alternative public transportation route exists in the specific section. The alternative public transportation confirmation unit 102 searches for an alternative public transportation route in the specific section corresponding to the automobile travel record.

[0024] Furthermore, the automobile travel record extraction unit 101 calculates the public transportation travel record from the public transportation usage history for the specific section where the above-mentioned alternative public transportation travel route exists.

[0025] In addition, the automobile travel history extraction unit 101 checks whether there is a public transportation travel route that is less burdensome for a specific section where there is an alternative public transportation travel route, and calculates the public transportation travel history that is less burdensome from the subject's public transportation usage history.

[0026] The behavior stage determination unit 103 determines the behavior stage into which the subject's behavior should be classified based on the ratio of public transportation travel record, which indicates the subject's use of a public transportation route in a specific section, to automobile travel record.

[0027] As described above, the analysis computer 1 according to this embodiment includes a memory unit 11 having a behavior stage determination result database 400 that stores the results of determining the subject's behavior stage, and the behavior stage determination unit 103 identifies the subject's behavior stage based on the behavior stage determination result database 400.

[0028] The behavioral stage determination unit 103 identifies the behavioral stage of the target person based on the ratio of actual travel by public transportation and automobile in automobile travel ODs with alternative public transportation routes, the ratio of actual travel by less burdensome public transportation and automobile in automobile travel ODs with less burdensome public transportation routes, and whether or not there is a payment history at stores that are implementing environmentally friendly initiatives (eco-activity stores).

[0029] In this embodiment, there are multiple behavioral stages. Behavior stage "1" is a state in which the person does not perceive the need to reduce environmental impact as their own problem, and is a behavioral stage in which behavioral impediments to this state should be removed. Behavior stage "2" is a state in which the burden of public transportation travel (travel time, transfer time, etc.) is overestimated and no specific alternative route is imagined, and is a behavioral stage in which a less burdensome public transportation travel route should be presented to remove the behavioral impediments to this state. Behavior stage "3" is a state in which the person understands the need to reduce environmental impact and accurately recognizes and accepts the burden of public transportation travel. This state is a behavioral stage in which, for example, incentives that can be obtained by using public transportation should be provided.

[0030] The automobile travel history extraction unit 101 acquires, from the transportation operator terminal 4, the public transportation usage history since the last judgment, the payment history, and the subject information regarding the subject, for a subject whose behavior stage has been judged in the past by the behavior stage judgment unit 103, and extracts the automobile travel history.

[0031] The guidance information generation unit 104 creates guidance information with guidance content for removing behavioral impediments to behavioral change according to the behavioral stage, stores it in the storage unit 11, and outputs it to the display terminal 3, which is an example of a display placed at any position in the specific section. An example of the position in the specific section is a place in the specific section where there is a high probability that the subject will pass through.

[0032] The guidance information generation unit 104 reads the contents of the guidance information according to the result of the determination of the target person's behavior stage, searches for a public transportation route for a specific section (OD) where there is an alternative public transportation means with the most automobile travel records, and creates guidance information. The guidance information generation unit 104 also has a function of reading the guidance contents of the next lower behavior stage and creating guidance information when the same behavior stage is repeatedly determined for the target person a certain number of times.

[0033] The display terminal 3 is an example of a display body, and is equipped with a subject detection unit 31 that detects a subject. The guidance information generation unit 104 transmits the created guidance information to the display terminal 3, and when the subject is detected by the subject detection unit 31 in the display terminal 3, the guidance information is displayed on the display terminal 3, thereby providing the guidance information to the subject.

[0034] After the guidance information is output, the behavior stage determination unit 103 determines the behavior stage according to the behavior change of the subject who has come into contact with the guidance information, based on the history data stored in the storage unit 11 in association with the movement of the subject after the guidance information is output. The guidance information generation unit 104 changes the guidance content of the guidance information to be output next, depending on whether or not there is a change in the behavior stage.

[0035] The ticket gate 5 is installed, for example, at a ticket gate of a station. The ticket gate 5 detects the entry and exit of a target person through the ticket gate (hereinafter, sometimes abbreviated as "ticket gate entry / exit"). The ticket gate 5 has a ticket gate entry / exit detection unit 51.

[0036] The ticket gate entry / exit detection unit 51 provides the detected entry / exit to the transportation company terminal 4 via the network 2. In this embodiment, a ticket gate 5 at a station is exemplified, but the present invention is not limited to this and may also be, for example, a payment machine at a parking lot.

[0037] The transportation company terminal 4 is a computer used by the transportation company, and includes a record management unit 41, a target person information database 200, a ticket gate entry / exit record database 700, and a payment history database 800. The record management unit 41 manages the target person information database 200, the ticket gate entry / exit record database 700, and the payment history database 800. The target person information database 200, the ticket gate entry / exit record database 700, and the payment history database 800 provide the analysis computer 1 with the following information as necessary.

[0038] The target person information database 200 is a database that stores information about targets registered on transportation IC cards, etc. The ticket gate entry / exit record database 700 is a database that stores information transmitted from the ticket gate 5 when a user enters or exits a station ticket gate using a transportation IC card, etc. The payment history database 800 is a database that stores payment information at commercial facilities, parking lots, etc. using a transportation IC card, etc. In this embodiment, it is assumed that a transportation IC card is used, but the method of acquiring data is not limited to this.

[0039] In this embodiment, station signage is used as an example, but the present invention is not limited to this and may also be the remaining balance display screen of a ticket gate installed at a station ticket gate, signage in a parking lot or commercial facility, or a display screen of an application installed on a communication device owned by the target person, or a device located near the ticket gate 5.

[0040] Next, we will explain each functional unit of the analysis computer 1. In the analysis program 100, the automobile travel history extraction unit 101 acquires, from the transportation company terminal 4 via the communication I / F 13, subject person information data from the subject person information database 200, ticket gate entry / exit record data from the ticket gate entry / exit record database 700, and payment history data from the payment history database 800. The subject person information data includes the subject person's home address information. The payment history data includes payment location information and time information, and payment history at stores.

[0041] The automobile travel record extraction unit 101 acquires data for a certain period, for example, the past month, and in the case of a subject whose behavior stage has been determined in the past, acquires data from after that determination.

[0042] The automobile travel history extraction unit 101 extracts a specific section (OD) for automobile travel (hereinafter also referred to as "traveling by automobile") from, for example, ticket gate entrance / exit record data, payment location information and time information included in the payment history data, and the subject's home address information registered as subject information data. Note that the address information registered as subject information data may be other location information of the subject (e.g., workplace location information) instead of the subject's home address information. Note that if home location information is not pre-registered as subject information data in the subject information database 200, the automobile travel history extraction unit 101 may estimate home location information from the ticket gate entrance / exit record data or the payment history (at stores) in the payment history data.

[0043] The public transportation alternative confirmation unit 102 has a function of performing a route search for a specific section (OD) of the automobile travel OD extracted by the automobile travel record extraction unit 101, for example, to confirm whether there is an alternative public transportation available. If an alternative public transportation is available, it is registered in the automobile travel OD database 300 for that specific section. The public transportation alternative confirmation unit 102 can also obtain travel history of public transportation from a database managed by the public transportation facility.

[0044] The behavior stage determination unit 103 acquires ticket gate entry / exit record data from the ticket gate entry / exit record database 700 and payment history data from the payment history database 800 from the transportation operator terminal 4 via the communication I / F 13, and calculates the percentage of ODs registered in the automobile travel OD database 300 that were traveled by automobile and the percentage that were traveled by public transportation.

[0045] The behavior stage determination unit 103 also calculates the percentage of car trips made despite the availability of public transportation routes with less travel burden, and checks whether there is a payment history at eco-friendly stores registered in the eco-friendly store database 500. Here, a public transportation route with less travel burden is, for example, a public transportation route with a travel time difference of less than five minutes compared to car trips and with one transfer or less. Based on the calculated percentages and the payment confirmation results, the behavior stage determination unit 103 determines which behavior stage the subject's behavior falls into, and registers the behavior stage as the determination result in the behavior stage determination result database 400.

[0046] The guidance information generation unit 104 obtains the previous judgment result and the current judgment result from the behavior stage judgment result database 400 and checks the difference between them. If there is no difference between them, the guidance information generation unit 104 obtains the content of guidance information corresponding to the next lower behavior stage from the guidance information definition database 600, but if there is a difference between them, the guidance information generation unit 104 obtains the guidance content of guidance information corresponding to the behavior stage as the current judgment result and creates guidance information. The guidance information generation unit 104 transmits the guidance information to the display terminal 3 via the communication I / F 13.

[0047] Next, an example of the configuration of each database will be described with reference to Figs. 2 to 8. Fig. 2 is a diagram showing an example of subject information data in the subject information database 200. The subject information database 200 registers information about subjects registered on the IC cards of transportation service providers. The subject information database 200 includes a subject ID 211 that identifies each subject, and an address 212 that indicates the home address of each subject. The subject ID 211 and address 212 can be, for example, information registered on the transportation service provider's transportation IC card, but may also be information entered into an application installed on a communication device owned by the subject, information estimated from any of ticket gate entry / exit records and payment history.

[0048] 3 is a diagram showing an example of an automobile travel OD database 300 for alternative public transportation. The automobile travel OD database 300 records ODs for which alternative public transportation is available, among ODs with automobile travel records extracted from the subject's ticket gate entry / exit history and payment history.

[0049] The automobile travel OD database 300 manages an ID 311 for identifying an automobile travel OD for which there is an alternative public transportation means for identifying the OD, a subject ID 312 for identifying the subject, an address 313 indicating the address of a specific section (OD) from the departure point to the arrival point, an exit / arrival (departure point / arrival point) 314 identifying the departure point and arrival point, a payment ID 315 for identifying each payment history, an entry / exit ID 316 identifying the ticket gate entry / exit record, an automobile travel record 317 indicating the number of times the target OD has been traveled by automobile, a public transportation travel record 318 indicating the number of times the target specific section (OD) has been traveled by public transportation, and a travel record number of low-burden public transportation travel routes 319 indicating the number of times the target OD has been traveled by a low-burden public transportation travel route.

[0050] Here, a low-burden public transportation route refers to a route with few transfers and required time, and if such a route exists, the number of actual usages is recorded. The conditions for required time and number of transfers are, for example, within 5 minutes of travel time difference with car travel and one transfer or less, but are not limited to these.

[0051] 4 is a diagram showing an example of the behavior stage determination result database 400. The behavior stage determination result database 400 records the numerical values ​​of the evaluation items for determining the behavior stage and the determination results.

[0052] The behavior stage determination result database 400 manages a stage determination ID 411 that identifies the determination result, a subject ID 412 that identifies the subject, a determination date and time 413 that indicates the date and time when the behavior stage was determined, a car travel record ratio 414 that indicates the ratio of car travel on a specific section (OD) registered in the car travel OD database 300 where alternative public transportation is available, a payment history number 415 of eco-friendly stores that indicates the number of payments made at eco-friendly stores, a ratio 416 of not using low-burden public transportation travel routes that indicates the number of times low-burden public transportation was used and the ratio of car travel for ODs that were traveled by car even though low-burden public transportation was available, and a determination result 417 that indicates the determined behavior stage.

[0053] Here, a public transportation route with a low travel burden is a public transportation route that, among the car travel ODs for which there is an alternative public transportation means, has a travel time difference of less than 5 minutes compared to car travel and requires no more than one transfer, but the conditions are not limited to these.

[0054] 5 is a diagram showing an example of an eco-friendly store database 500. The eco-friendly store database 500 is a database that manages information about stores that are implementing environmentally friendly initiatives. The eco-friendly store database 500 manages a store ID 511 that identifies the store, a store name 512 that indicates the name of the store, an address 513 that indicates the address of the store, a category 514 that indicates the type of store, and an eco-friendly activity content 515 that indicates the details of the tourist-friendly activities that the store is implementing.

[0055] 6 is a diagram showing an example of a guidance information definition database 600. The guidance information definition database 600 is a database that manages the definition of guidance information provided for each behavior stage. The guidance information definition database 600 manages a guidance information definition ID 611 that identifies the definition of the guidance information, a behavior stage 612 that identifies the behavior stage, and guidance content 613 that indicates the content of the guidance information that removes behavior obstructions for each behavior stage.

[0056] For example, for behavioral stage "1," in order to remove the barrier to action that is the lack of awareness that the need to reduce environmental impact is a personal problem, the amount of CO2 reduction that would occur if alternative public transportation were used would be clearly stated.

[0057] For behavioral stage "2," the burden of public transportation travel (travel time, transfers) is overestimated, and in order to remove the behavioral impediment of not having a specific route in mind, a less burdensome public transportation route is presented.

[0058] For behavior stage "3," information on incentives that can be obtained by using public transportation is provided because the person understands the need to reduce the environmental load and accurately recognizes and accepts the burden. Here, the guidance content 613 is not limited to the content shown in Figure 6, but may be information on removing behavioral impediments for each behavior stage.

[0059] 7 is a diagram showing an example of a ticket gate entrance / exit record database 700. The ticket gate entrance / exit record database 700 is ticket gate entrance / exit information managed by a transportation business operator. The ticket gate entrance / exit record database 700 manages an entrance / exit ID 711 that identifies the ticket gate entrance / exit record, a subject ID 712 that identifies the subject, a date and time 713 that indicates the date and time of entry and exit at the ticket gate, a station name 714 that indicates the name of the station where the ticket gate through which the person entered or exited is located, a ticket gate name 715 that indicates the name of the ticket gate through which the person entered or exited, an address 716 that indicates the address of the station where the ticket gate through which the person entered or exited is located, and an entry / exit 717 that identifies entry and exit at the ticket gate.

[0060] In this embodiment, the data is not limited to records of entering and exiting ticket gates using a transportation IC card, but may also be usage history of a transportation company's mobile app or an application installed on a communication device owned by the subject. Agreement on the use of this data is obtained, for example, by changing the terms of the transportation IC (Integrated Circuit) card or application. Also, while the history of entering and exiting ticket gates is shown as the history of train usage, bus usage history also includes bus riding history.

[0061] 8 is a diagram showing an example of a payment history database 800. The payment history database 800 contains payment information for IC cards managed by a transportation business operator. The payment history database 800 manages a payment ID 811 that identifies the payment history, a target person ID 812 that identifies the target person, a date and time 813 that indicates the date and time the payment was made, a facility 814 that indicates the name of the facility where the payment was made, an address 815 that indicates the address of the facility where the payment was made, and a facility type 816 that indicates the type of facility where the payment was made. The payment history may also be registered if data on purchased items can be obtained.

[0062] Furthermore, this embodiment is not limited to the data on the transportation IC card described above, but may also include usage history of a transportation company's mobile application, an application installed on a communication device owned by the subject, etc. Consent for the use of such data may be obtained by, for example, changing the terms of the IC card or application.

[0063] The above is an example of the configuration of the guide information providing system including the behavior analysis device according to this embodiment. Next, a guide information providing process including an example of a behavior analysis method by the guide information providing system including the behavior analysis device will be described.

[0064] The behavior analysis method includes an automobile travel record extraction step in which an automobile travel record extraction unit 101 extracts automobile travel records representing the use of routes other than public transportation travel routes in a specific section (OD) by the subject from history data stored in a storage unit 11 in association with the subject's travel; an alternative public transportation confirmation step in which an alternative public transportation confirmation unit (102) searches for an alternative public transportation travel route in the specific section; a behavior stage determination step in which a behavior stage into which the subject's behavior should be classified is determined based on the ratio between the public transportation travel records representing the use of public transportation travel routes by the subject in the specific section and the automobile travel records; and a guidance step. The method includes a guidance information generation step in which the information generation unit 104 creates guidance information with guidance content for removing behavioral impediments to behavioral change according to the behavior stage, stores the created guidance information in the storage unit 11, and outputs the created guidance information to a display placed at any position in a specific section, and in the behavior stage determination step, the behavior stage determination unit 103, after outputting the guidance information, again determines the behavior stage according to the behavioral change of the subject who has come into contact with the guidance information based on history data stored in the storage unit 11 in accordance with the movement of the subject after the output of the guidance information, and in the guidance information generation step, the guidance information generation unit 104 changes the guidance content of the guidance information to be output next according to whether or not there has been a change in the behavior stage. This will be explained in detail below.

[0065] 9 is a flowchart showing an example of the procedure for providing guidance information according to this embodiment. First, when a target person passes through the ticket gate 5, the ticket gate entry / exit detection unit 51 transmits the detection of the entry / exit to the transportation company terminal 4, and the record management unit 41 updates the ticket gate entry / exit record database 700 (step S1).

[0066] Next, the automobile travel history extraction unit 101 refers to the behavior stage determination result database 400 and checks whether or not there are past behavior stage determination results for the subject (step S2). If there are no past behavior stage determination results, the automobile travel history extraction unit 101 acquires, for example, the subject's ticket gate entry / exit record data and payment history data for the past month (hereinafter also referred to as "the subject's ticket gate entry / exit history data and payment history data for a certain period of the past") from the ticket gate entry / exit record database 700 and the payment history database 800 (step S3). The period for acquiring this ticket gate entry / exit record data and payment history data is changeable. On the other hand, if there are past behavior stage determination results, the automobile travel history extraction unit 101 acquires the ticket gate entry / exit record data and payment history data from the previous determination date and time onwards (step S8).

[0067] Next, the automobile travel history extraction unit 101 uses the acquired ticket gate entry / exit record data and payment history data, as well as the address 212 in the subject information database 200, to determine whether the person has traveled by automobile based on whether there is a specific type of behavioral history related to public transportation travel or automobile travel, whether there is no specific behavioral history, and the chronological order and geographical location of those behavioral histories.

[0068] Furthermore, the alternative public transportation confirmation unit 102 executes an OD extraction process. In the OD extraction process, the alternative public transportation confirmation unit 102 extracts ODs of automobile travel records that have alternative public transportation travel routes, and registers them in the automobile travel OD database 300 that has alternative public transportation means (step S4).

[0069] Then, the behavior stage determination unit 103 determines which behavior stage the subject's behavior regarding behavioral change to public transportation usage falls into based on the percentage of people who traveled by car despite the availability of alternative public transportation and their payment history at eco-friendly stores, and registers the determination result in the behavior stage determination result database 400 (step S5).

[0070] Next, the guidance information generating unit 104 generates guidance information that matches the action stage in accordance with the definition in the guidance information definition database 600 (step S6).

[0071] In the display terminal 3, the target person detection unit 31 detects the target person, and when the target person detection unit 31 detects the target person, the display unit 32 provides the guidance information generated by the guidance information generation unit 104 (step S7).

[0072] Here, the timing at which the display terminal 3 detects the target person is, for example, when the target person passes in front of the display terminal 3 or when the target person stays near the display terminal 3. The process of detecting the target person by the display terminal 3 is executed in parallel for multiple targets each time the target person passes through the ticket gate 5.

[0073] 10 is a flowchart showing an example of the detailed procedure of the OD extraction process (step S4) in FIG. 9. In this OD extraction process, ODs of actual automobile travel records for which there are alternative public transportation routes are extracted. This OD extraction process is executed by the alternative public transportation confirmation unit 102 of the analysis program 100.

[0074] The automobile travel history extraction unit 101 first reads the oldest payment history data from the ticket gate entry / exit history data and payment history data of the subject for a certain period in the past obtained in step S3 described above, or the ticket gate entry / exit history data and payment history data of the subject since the previous behavioral stage determination obtained in step S8 (step S101), and then reads the next payment history data (step S102).

[0075] The automobile travel history extraction unit 101 refers to the payment history database 800 and checks from the date and time 713 of the ticket gate entry / exit history whether there is any ticket gate entry / exit history data in the ticket gate entry / exit record database 700 during the period between the date and time 813 of the two payment history data that were read (step S103).

[0076] If there is other ticket gate entry / exit history data between the two payment history data, the automobile travel history extraction unit 101 reads the two payment history data after the ticket gate entry / exit history data (step S110). On the other hand, if there is no ticket gate entry / exit history data between the two payment history data, the automobile travel history extraction unit 101 extracts it as automobile travel history with the address 815 of the payment location in the payment history database 800 as the OD. Here, the two payment locations must be, for example, more than 2 km apart, making it difficult to travel on foot. Note that the distance between these locations can be changed.

[0077] Furthermore, if the payment history data includes travel history by at least one shared bicycle or kick scooter, travel to that location is excluded from automobile travel. Here, since ticket gate entry and exit history data for public transportation commuter passes may not be recorded on the transportation provider terminal 4 every time, the commuter pass section is confirmed from the purchase history data, and travel on that section is excluded from automobile travel. Furthermore, if the payment history is for a parking lot, travel from that location is considered automobile travel. For payments for taxis, rental cars, or ride-sharing, travel to that location or travel section information obtained via an app or similar is considered automobile travel. Furthermore, if there is a payment history at an electric vehicle port, travel on that day may be excluded from automobile travel. These conditions are subject to change.

[0078] Next, the public transportation alternative confirmation unit 102 searches for a public transportation route using the addresses of the two payment points as OD (start / end points) (step S104). Here, the route search can also be performed using a general route search service.

[0079] The departure time when searching for a route is the date and time of payment 813 of the first payment history data. The alternative public transportation confirmation unit 102 determines whether there is a public transportation route that can actually be used as an alternative based on the following conditions (step S105). Conditions for an alternative public transportation route include, for example, a 10-minute walking time from transfer facilities or the store where payment was made to the station, a 3-minute or less transfer, a 15-minute or less wait time for transfers, and a 20% or less difference in travel time between the shortest route by car and public transportation. These conditions can be changed.

[0080] If there is an alternative public transportation route for a specific section (OD), the alternative public transportation confirmation unit 102 checks whether this specific section (automobile travel OD) is registered in the automobile travel OD database 300, which has alternative public transportation means (step S106).

[0081] If the automobile travel OD has not been registered, the automobile travel history extraction unit 101 registers it in the automobile travel OD database 300 as a specific section that can be changed to a public transportation travel route, where there is alternative public transportation (step S107). On the other hand, if the automobile travel OD is a specific section that has been registered, the automobile travel history extraction unit 101 updates the value of the automobile travel history 317 of the same registered automobile travel OD by adding "1" (step S111).

[0082] Here, a specific section (OD), that is, a departure point and an arrival point, are grouped together as the same departure point or arrival point if they have the same address. The range of the same departure point or arrival point is not limited to an address, but can be changed to, for example, a larger address block (such as a prefecture name, city, town, or village name).

[0083] Next, the automobile travel record extraction unit 101 checks whether there is any new payment history (step S108). If there is any new payment history, the automobile travel record extraction unit 101 repeats steps S102 to S108. On the other hand, if there is no new payment history, the automobile travel record extraction unit 101 registers the number of public transportation travel records from the ticket gate entrance / exit history data for a specific section registered in the automobile travel OD database 300 for which an alternative public transportation facility is available in the public transportation travel record 318 of the automobile travel OD database 300 (step S109).

[0084] Furthermore, the automobile travel history extraction unit 101 checks whether a low-burden public transportation route exists for the specific section (OD) of interest, and if a low-burden public transportation route exists, checks the number of actual trips for that route from the ticket gate entry / exit history data, and registers the number of actual trips for that low-burden public transportation route in the automobile travel OD database 300. If a low-burden public transportation route does not exist, the automobile travel history extraction unit 101 registers, for example, "NONE" so that the number of actual trips can be distinguished from "0". Alternatively, the automobile travel history extraction unit 101 may add an item for registering a flag indicating whether a low-burden public transportation route exists.

[0085] While the process described here extracts automobile travel records between two locations where consecutive payments were made, it is not limited to this and automobile travel records between a payment location and a station may also be extracted. In this case, the conditions are that there is a ticket gate entry record after the payment record, or that there is payment record data after the ticket gate exit record data, and that the distance between the two locations is difficult to travel on foot, for example, 2 km or more. Automobile travel records between home and a payment location or a station may also be extracted. In this case, the conditions are that the location corresponding to the payment history data or ticket gate entry history data at the beginning of the day, or the payment history data or ticket gate exit history data at the end of the day, is difficult to travel on foot, for example, 2 km or more, from the home address 212. Another condition is that there is no payment history data at accommodation facilities on that day. The distance condition between the two locations is changeable.

[0086] Fig. 11 is a flowchart showing an example of the detailed procedure of the behavior stage determination process (step S5) shown in Fig. 9. In the behavior stage determination process, it is determined which behavior stage, for example, "1" to "3," the subject's behavior stage regarding behavioral change to public transportation use corresponds to (hereinafter also referred to as "behavior stage determination"). This behavior stage determination process is executed by the behavior stage determination unit 103 of the analysis program 100.

[0087] First, the behavior stage determination unit 103 calculates the proportion of the total value of the public transportation travel record 318 and the automobile travel record 317 for all registered ODs from the automobile travel OD database 300 that has alternative public transportation (step S201). The behavior stage determination unit 103 checks whether the proportion of automobile travel records is 50% or more (step S202), and if so, checks whether there is a payment record at a store registered in the eco-friendly store database 500 (step S203).

[0088] The payment history used here is the ticket gate entry / exit history data and payment history data for a certain period acquired in step S3 or step S8 described above. The behavior stage determination unit 103 confirms the payment record by comparing the address 815 of the payment location in the payment history database 800 with the address 513 of the eco-friendly store in the eco-friendly store database 500.

[0089] If the user has made a payment at an eco-friendly store, the behavior stage determination unit 103 determines the user's behavior stage to be "2" and registers the result in the behavior stage determination result database 400 (step S204). On the other hand, if the user has not made a payment at an eco-friendly store, the behavior stage determination unit 103 determines the user's behavior stage to be "1" and registers the result in the behavior stage determination result database 400 (step S207). Note that the behavior stage determination unit 103 may use at least one of the presence or absence of a purchase history of a specific product and the presence of a certain number of payments as conditions, in addition to the payment history at registered stores as described above. Furthermore, the behavior stage determination unit 103 may define the conditions using at least one of the category 514 of the eco-friendly store and the eco-friendly activity content 515.

[0090] The behavior stage determination unit 103 also checks whether the percentage of actual automobile travel is 50% or more (step S202), and if it is 50% or less, checks whether the percentage of automobile travel is 20% or more for specific sections (ODs) where public transportation routes with low travel burdens exist (step S205). Here, specific sections (ODs) where public transportation routes with low travel burdens exist are specific sections (ODs) where the number of actual travels 319 for public transportation routes with low travel burdens is registered as a number rather than "NONE". Therefore, the behavior stage determination unit 103 calculates the percentage of the total number of actual travels 319 for public transportation routes with low travel burdens and the total number of actual automobile travels 317 for all target specific sections (ODs).

[0091] If the proportion of people who traveled by car instead of using public transportation routes, which are less burdensome to travel, is 20% or more, the behavior stage determination unit 103 determines the behavior stage to be "2" and registers this in the behavior stage determination result database 400 (step S204), while if the proportion is 20% or less, the behavior stage determination unit 103 determines the behavior stage to be "3" and registers this in the behavior stage determination result database 400 (step S206).

[0092] In this embodiment, the ratio used as the criterion for determining the behavior stage can be changed, and may be changed to an optimum value by examining the improvement in the behavior stage of the subject who received the guidance information.

[0093] 12 is a flowchart showing an example of detailed steps of the guide information creation process (step S6) shown in FIG.

[0094] First, the guidance information generator 104 checks the behavior stage determination result database 400 to see if the result of the current behavior stage determination is different from the result of the previous behavior stage determination, or if this is the first determination (step S301).

[0095] If the result of step S301 is yes, the guidance information generating unit 104 reads the guidance content 613 corresponding to the stage determined this time from the guidance information definition database 600 (step S302).

[0096] On the other hand, if the result of step S301 is not applicable, the guidance information generating unit 104 reads the guidance content 613 corresponding to the next lower stage (for example, "1" if the action stage is "2") from the guidance information definition database 600 (step S305). Here, if the same action stage is determined twice in succession, the guidance content of the next lower action stage is read, but the condition for the number of times may be changed, for example, to 10 times in succession instead of twice as described above.

[0097] Next, the guidance information generation unit 104 searches the automobile travel OD database 300 for public transportation routes with the highest automobile travel record 317 (step S303). The guidance information generation unit 104 adds route information, which is based on searched values ​​such as the difference in travel time compared to automobile travel and the number of transfers, to the guidance content read in step S302 or step S305, to create guidance information (step S304). Here, if there are multiple search results for public transportation routes, the guidance information generation unit 104 prioritizes the use of routes with the shortest travel time and the shortest number of transfers. In addition, point information awarded for using public transportation is obtained from the transportation company terminal 4 of the transportation company.

[0098] 13 to 15 are diagrams showing examples of guidance information providing screens displayed on the display unit 32 of the display terminal 3. Fig. 13 is a diagram showing an example of guidance information corresponding to behavior stage "1", Fig. 14 is a diagram showing an example of guidance information corresponding to behavior stage "2", and Fig. 15 is a diagram showing an example of guidance information corresponding to behavior stage "3".

[0099] In the display terminal 3, under the control of the guidance information generation unit 104, the display unit 32 displays the guidance information for the searched routes A to B, which was created in the above-mentioned step S304, in a display format that differs for each action stage. That is, the guidance information generation unit 104 causes the display unit 32 to display guidance information 321 corresponding to action stage "1". Furthermore, the guidance information generation unit 104 causes the display unit 32 to display guidance information 322 corresponding to action stage "2". Furthermore, the guidance information generation unit 104 causes the display unit 32 to display guidance information 323 corresponding to action stage "3".

[0100] The guidance information generation unit 104 displays, for example, guidance information 331, guidance information 332, and guidance information 333, which represent messages of guidance content 613 for removing action impediments for each action stage. In addition, the guidance information generation unit 104 displays route guidance for alternative public transportation. Furthermore, the guidance information generation unit 104 may change the layout of the display screen of the display unit 32 or omit details of the route guidance in accordance with at least one of the type of the display terminal 3 and the size of the display screen.

[0101] 13 includes, for example, guidance information 331 such as "By switching from driving a car to public transportation, you can reduce CO2 emissions by Xg." The guidance information 321 shown in the figure is intended for people in behavior stage "1," and therefore encourages them to actively engage in environmental protection.

[0102] 14 includes, for example, guidance information 332 such as "The time difference compared to using a car is within X minutes, and you can travel with only X transfers." The guidance information 322 shown in the figure is intended for people in behavior stage "2," and encourages them to make more efforts to protect the environment.

[0103] 15 includes, for example, guidance information 333 such as "You can earn X points by using the following route." The guidance information 323 shown in the figure is intended for a target person at behavior stage "3," and therefore provides a reward to the target person who is working to protect the environment, encouraging them to continue their environmental protection activities.

[0104] The guidance information provision system according to this embodiment includes an analysis computer 1 as an example of a behavior analysis device, and a display terminal 3 as an example of a display. The analysis computer 1 includes an automobile travel record extraction unit 101 that extracts automobile travel records that indicate the use of routes other than public transportation travel routes in a specific section (OD) by the subject from history data stored in a storage unit 11 as the subject travels, an alternative public transportation confirmation unit 102 that searches for alternative public transportation travel routes in the specific section, a behavior stage determination unit 103 that determines a behavior stage into which the subject's behavior should be classified based on the ratio between the public transportation travel records that indicate the use of public transportation travel routes by the subject in the specific section and the automobile travel records, and a behavior stage determination unit 104 that determines the behavior stage into which the subject's behavior should be classified based on the ratio between the public transportation travel records that indicate the use of public transportation travel routes by the subject in the specific section and the automobile travel records. and a guidance information generation unit (104) that generates guidance information having guidance content for removing behavioral impediments to behavioral change in response to the guidance information, stores the information in the memory unit (11), and outputs the information to a display placed at any position in the specific section, and after outputting the guidance information, the behavior stage determination unit (103) determines the behavior stage according to the behavioral change of the subject who has come into contact with the guidance information based on history data stored in the memory unit (11) in accordance with the movement of the subject after the output of the guidance information, and the guidance information generation unit (104) changes the guidance content of the guidance information to be output next in response to whether or not there is a change in the behavioral stage.

[0105] As described above, according to this embodiment, depending on whether the output of guidance information has encouraged a behavioral change in a subject who continues to travel by car despite the availability of alternative public transportation, subsequent guidance information can be adjusted to encourage the subject to use public transportation. For example, the guidance information can be configured to remove behavioral impediments for each behavioral stage of the subject, thereby encouraging a behavioral change in a subject who continues to travel by car despite the availability of alternative public transportation routes.

[0106] The automobile travel history extraction unit 101 acquires the public transportation usage history, payment history, and subject information about the subject over a certain period of time in the past from the transportation company terminal 4, and extracts the automobile travel history. In this way, it is possible to more accurately encourage behavioral change in subjects who continue to travel by automobile despite the availability of alternative public transportation routes, taking into consideration the public transportation usage history, payment history, and subject information over a certain period of time in the past.

[0107] The automobile travel history extraction unit 101 extracts automobile travel history for a subject whose behavior stage has been determined in the past by the behavior stage determination unit 103, by acquiring the public transportation usage history since the previous determination, the payment history, and the subject information related to the subject from the transportation business operator terminal 4. In this way, it is possible to more accurately encourage behavioral change in a subject who travels by automobile despite the availability of alternative public transportation routes, taking into consideration the public transportation usage history, payment history, and subject information since the previous determination that can be obtained from the transportation business operator terminal 4.

[0108] The analysis computer 1 according to this embodiment includes a storage unit 11 having an automobile travel OD database 300 with alternative public transportation options, which stores information on the OD representing the specific section and the automobile travel history when a public transportation route exists in the specific section, and an alternative public transportation confirmation unit 102 searches for alternative public transportation routes in the specific section corresponding to the automobile travel history. In this way, it is possible to more accurately encourage behavioral change in subjects who continue to travel by automobile despite the availability of alternative public transportation routes, taking into account alternative public transportation routes.

[0109] The automobile travel record extraction unit 101 calculates the public transportation travel record from the public transportation usage history for a specific section for which there is an alternative public transportation travel route. In this way, it is possible to more accurately encourage behavioral change in a subject who travels by automobile despite there being an alternative public transportation travel route, taking into account more accurate public transportation travel record.

[0110] The automobile travel history extraction unit 101 checks whether there is a public transportation route with a low travel burden for a specific section where there is an alternative public transportation route, and calculates the public transportation travel history with a low travel burden from the public transportation usage history. In this way, it is possible to more accurately encourage behavioral change in a subject who travels by automobile despite the availability of an alternative public transportation route, by taking into account the public transportation travel history with a low burden that is accurately calculated from the public transportation usage history.

[0111] The behavioral stage determination unit 103 identifies the behavioral stage of the subject based on the ratio of actual travel by public transportation and automobile in an automobile travel OD with an alternative public transportation route, the ratio of actual travel by less burdensome public transportation and automobile in an automobile travel OD with a less burdensome public transportation route, and whether or not there is a payment history at a store that is implementing environmentally friendly initiatives (eco-activity store). In this way, it is possible to more accurately encourage behavioral change in a subject who travels by automobile despite the availability of an alternative public transportation route, taking into account the payment history at the eco-activity store.

[0112] The storage unit 11 has an eco-friendly store database 500 that stores information on stores that are implementing environmentally friendly initiatives. In this way, it is possible to more accurately encourage behavioral change in a subject who travels by car even though there is an alternative public transportation route, by taking into consideration the payment history of various eco-friendly stores stored in the eco-friendly store database 500.

[0113] The analysis computer 1 according to this embodiment includes a memory unit 11 having a behavior stage determination result database 400 that stores the results of determining the subject's behavior stage, and the behavior stage determination unit 103 identifies the subject's behavior stage based on the behavior stage determination result database 400.

[0114] The guidance information generation unit 104 reads the guidance content of the guidance information according to the result of the determination of the target person's behavioral stage, searches for a public transportation route for a specific section (OD) where there is an alternative public transportation means with the most automobile travel records, and creates guidance information. In this way, it is possible to more accurately encourage behavioral change using the guidance information for a target person who travels by automobile despite there being an alternative public transportation route, taking into consideration the public transportation route.

[0115] The storage unit 11 has a guidance information definition database 600 that stores guidance content of guidance information required to remove behavioral impediments for each behavioral stage of the subject. In this way, it is possible to more accurately encourage behavioral change in subjects who continue to travel by car despite the availability of alternative public transportation routes, taking into consideration the behavioral impediments for each subject.

[0116] When the same behavior stage is repeatedly determined for a certain number of times for the subject, the guidance information generation unit 104 reads the guidance content for the next lower behavior stage and creates guidance information. In this way, it is possible to more accurately encourage behavioral change in a subject who repeatedly travels by car despite the availability of alternative public transportation routes.

[0117] A display terminal 3 as an example of a display body includes a subject detection unit 31 that detects a subject, and a guidance information generation unit 104 transmits the created guidance information to the display terminal 3, and when a subject is detected by the subject detection unit 31 in the display terminal 3, the guidance information is displayed on the display terminal 3, thereby providing the guidance information to the subject. In this way, by using a display terminal 3 on the subject's travel route, it is possible to more reliably encourage a behavioral change in a subject who travels by car despite the availability of an alternative public transportation route.

[0118] The present invention is not limited to the above-described embodiments and includes various modifications and equivalent configurations within the spirit and scope of the appended claims. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to configurations including all of the described configurations. Furthermore, the elements described in parallel in the present embodiment may be configured such that at least one of the elements is connected in series to the other elements. Furthermore, for example, the configuration of each database in the above-described embodiments is merely an example, and some data may not be registered, or other related data may be added and registered.

[0119] Furthermore, in the guidance information providing system of the above embodiment, the transportation company terminal 4 is configured as a separate unit, but in another example, it may be configured to be provided in the analysis computer 1. Furthermore, in the guidance information providing system of the above embodiment, the functions configured to be provided in the analysis computer 1 may be separated and provided in an external computer.

[0120] The present invention can also be understood as an analysis program executed by the analysis device, and a guidance information providing program executed by the guidance information providing system. [Industrial Applicability]

[0121] The present invention can be applied to, for example, a behavior analysis device that provides guidance information that encourages the use of public transportation. [Explanation of symbols]

[0122] 1...Analysis computer, 2...Network, 3...Display terminal, 4...Transportation operator terminal, 5...Ticket gate, 11...Memory unit, 12...CPU, 13...Communication I / F, 31...Target detection unit, 32...Display unit, 41...Record management unit, 51...Ticket gate entry / exit detection unit, 100...Analysis program, 101...Automobile travel record extraction unit, 102...Alternative public transportation confirmation unit, 103...Behavior stage determination unit, 104...Guidance information generation unit, 110...Database, 200...Target person information, 300...Automobile travel OD database, 400...Behavior stage determination result, 500...Eco-activity implementation store, 600...Guidance information definition, 700...Ticket gate entry / exit record, 800...Payment history

Claims

1. an automobile travel history extraction unit that extracts automobile travel history indicating the use of a route other than a public transportation route by the subject in a specific section from history data stored in a storage unit in accordance with the subject's travel; an alternative public transportation confirmation unit that searches for an alternative public transportation route in the specific section; a behavior stage determination unit that determines a behavior stage into which the behavior of the subject should be classified based on a ratio between a public transportation travel record that indicates the subject's use of the public transportation travel route in the specific section and the automobile travel record; a guidance information generation unit that generates guidance information having guidance content for removing behavioral impediments to behavioral change according to the behavioral stage, stores the information in the storage unit, and outputs the information to a display disposed at any position in the specific section; The behavior stage determination unit After the guidance information is output, a behavioral stage is determined according to a behavioral change of the subject who has come into contact with the guidance information, based on history data stored in the storage unit along with the movement of the subject after the output of the guidance information; The guidance information generation unit The guidance content of the guidance information to be output next is changed depending on whether or not there is a change in the behavior stage. A behavioral analysis device characterized by:

2. The automobile travel history extraction unit The public transportation usage history for a certain period in the past, the payment history, and the subject information about the subject are acquired from the transportation company terminal, and the automobile travel record is extracted. The behavior analysis device according to claim 1 .

3. The automobile travel history extraction unit For a subject whose behavior stage has been determined in the past by the behavior stage determination unit, the public transportation usage history since the previous determination, the payment history, and subject information regarding the subject are obtained from the transportation business terminal, and the automobile travel history is extracted. The behavior analysis device according to claim 1 .

4. a storage unit having a specific automobile travel section database that stores, when an alternative public transportation route exists in the specific section, information representing the specific section including the alternative public transportation route and the automobile travel record; The alternative public transportation confirmation unit searching for the alternative public transportation route in the specific section corresponding to the actual automobile travel record; The behavior analysis device according to claim 1 .

5. The automobile travel history extraction unit Calculating public transportation travel performance for the specific section where the alternative public transportation travel route exists based on the target person's public transportation usage history 5. The behavior analysis device according to claim 4.

6. The automobile travel history extraction unit For the specific section where there is an alternative public transportation route, the presence or absence of a public transportation route with a lower travel burden is investigated, and the actual public transportation travel record with the lower burden is calculated from the public transportation usage history.

5. The behavior analysis device according to claim 4.

7. The behavior stage determination unit The behavioral stage of the subject is identified based on the ratio of travel history between public transportation and automobile in a specific automobile travel section where there is an alternative public transportation travel route, the ratio of travel history between public transportation with low burden and automobile in a specific automobile travel section where there is a public transportation travel route with low burden, and whether or not there is a payment history at a store that is implementing environmentally friendly initiatives. The behavior analysis device according to claim 1 .

8. Equipped with a store database that stores information on stores that are implementing environmentally friendly initiatives The behavior analysis device according to claim 7 .

9. a storage unit having a behavioral stage determination result database for storing the results of the determination of the subject's behavioral stage; The behavior stage determination unit Identifying the behavioral stage of the subject based on the behavioral stage determination result database The behavior analysis device according to claim 1 .

10. The guidance information generation unit Depending on the result of the determination of the target person's behavioral stage, the content of the guidance information is read, and the guidance information is created by searching for a public transportation route in the specific section that has the most actual automobile travel history and has an alternative public transportation route. The behavior analysis device according to claim 1 .

11. a guidance information definition database that stores guidance content of guidance information required to remove behavioral impediments for each behavioral stage of the subject; The behavior analysis device according to claim 1 .

12. The guidance information generation unit If the subject is repeatedly judged to be in the same behavioral stage a certain number of times, the guidance content of the next lower behavioral stage is read and the guidance information is created. The behavior analysis device according to claim 11 .

13. The display body is a subject detection unit that detects the subject, The guidance information generation unit The created guidance information is transmitted to the display device, and when the target person is detected by the target person detection unit on the display device, the guidance information is displayed on the display device, thereby providing the target person with the guidance information. The behavior analysis device according to claim 1 .

14. an automobile travel history extraction step in which an automobile travel history extraction unit extracts automobile travel history indicating the use of a route other than a public transportation route by the subject in a specific section from history data stored in a storage unit in accordance with the subject's travel; an alternative public transportation confirmation step in which an alternative public transportation confirmation unit searches for an alternative public transportation route in the specific section; a behavior stage determination step in which a behavior stage determination unit determines a behavior stage into which the behavior of the subject should be classified based on a ratio between a public transportation travel record indicating a record of the subject using the public transportation travel route in the specific section and the automobile travel record; a guidance information generating step in which a guidance information generating unit creates guidance information having guidance content for removing behavioral impediments to behavioral change according to the behavioral stage, stores the created guidance information in the storage unit, and outputs the created guidance information to a display unit arranged at any position in the specific section; In the behavior stage determination step, the behavior stage determination unit, after outputting the guidance information, determines again a behavior stage according to a behavior change of the subject who has come into contact with the guidance information, based on history data stored in the storage unit in association with movement of the subject after output of the guidance information; In the guidance information generating step, The guidance information generating unit changes the guidance content of the guidance information to be output next depending on whether or not the action stage has changed. A method for providing guidance information.

15. an automobile travel history extraction unit that extracts automobile travel history indicating the use of a route other than a public transportation route by the subject in a specific section from history data stored in a storage unit in accordance with the subject's travel; an alternative public transportation confirmation unit that searches for an alternative public transportation route in the specific section; a behavior stage determination unit that determines a behavior stage into which the behavior of the subject should be classified based on a ratio between a public transportation travel record that indicates the subject's use of the public transportation travel route in the specific section and the automobile travel record; a guidance information generation unit that generates guidance information for removing behavioral impediments to behavioral change according to the behavior stage and stores the information in the storage unit; and a display member disposed at any position in the specific section, The behavior stage determination unit After the guidance information is output, a behavioral stage corresponding to a behavioral change of the subject who has come into contact with the guidance information is determined again based on history data stored in a storage unit in accordance with movement of the subject after the output of the guidance information; The guidance information generation unit The guidance content of the guidance information to be output next to the display is changed depending on whether or not the behavior stage has changed. A guidance information providing system characterized by:

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