JP2023088144A - Recommend device, recommend method, and recommend program - Google Patents

Abstract

To provide moving means having the higher degree of contribution to an environment for a moving route than efficiency and advantage for movement when a user wants to go to a certain destination.SOLUTION: Provided is a recommend device including a control part which searches a moving route from a departure point to a destination point set by a user for each moving means, calculates the contribution degree to an environment with respect to the retrieved moving route for each moving means based on a predetermined reference, and executes processing for recommending the moving means to the user based on the contribution degree for each moving means. As a result, the moving means can be provided having the higher contribution to the environment with respect to the moving route.SELECTED DRAWING: Figure 8

Description

The present disclosure relates to a recommendation device, a recommendation method, and a recommendation program.

When a user wants to go to a certain destination, he or she uses his/her smartphone or the like to enter information such as the departure point and destination into a travel route search application or website. can be obtained. As additional information, there is also a service that displays the estimated calorie consumption of the user when traveling along the searched travel route.

JP 2020-154521 A

However, there are many users who want to contribute to society, for example, by actively using environmentally friendly means of transportation, rather than the efficiency and affordability of transportation.

Therefore, the present disclosure proposes a recommendation device, a recommendation method, and a recommendation program that can provide a transportation means that contributes more to the environment than a transportation route.

According to the present disclosure, a travel route from a departure point to a destination set by a user is searched for each travel means, and based on a predetermined criterion, the degree of contribution to the environment for the searched travel route is transferred. A recommendation device is provided, comprising a control unit that performs a process of recommending a means of transportation to a user based on the degree of contribution calculated for each means of transportation.

In addition, according to the present disclosure, the information processing device searches for a travel route from the departure point to the destination set by the user for each travel means, and based on a predetermined criterion, There is provided a recommendation method characterized by calculating a degree of contribution to the environment for each means of transportation, and executing a process of recommending a means of transportation to a user based on the degree of contribution for each means of transportation.

Further, according to the present disclosure, the information processing apparatus searches for a travel route from a departure point to a destination set by the user for each travel means, and based on a predetermined criterion, A recommendation program is provided that calculates a degree of contribution to the environment for each means of transportation, and executes processing for recommending a means of transportation to a user based on the degree of contribution for each means of transportation.

In one aspect, it is possible to provide a means of transportation that contributes more to the environment with respect to the movement route.

FIG. 1 is a diagram showing an example of a moving route search according to the related art and this embodiment. FIG. 2 is a diagram showing a configuration example of a moving route search system according to this embodiment. FIG. 3 is a block diagram showing a functional configuration example of the recommendation device 100 according to this embodiment. FIG. 4 is a diagram showing an example of hearing information stored in the hearing information 121 according to this embodiment. FIG. 5 is a diagram showing an example of weighting factor information stored in the weighting factor information 122 according to this embodiment. FIG. 6 is a diagram showing an example of the amount of CO2 emissions per transportation amount. FIG. 7 is a diagram showing an example of energy consumed in physical activity. FIG. 8 is a diagram showing an example of recommendation processing according to this embodiment. FIG. 9 is a diagram showing an example of a method of determining means of transportation according to the present embodiment. FIG. 10 is a diagram showing an example of a recommendation screen according to this embodiment. FIG. 11 is a flowchart showing the flow of recommendation processing (1) according to this embodiment. FIG. 12 is a flowchart showing the flow of recommendation processing (2) according to this embodiment. FIG. 13 is a block diagram showing a hardware configuration example of the recommendation device 100 according to this embodiment.

The present embodiment will be described in detail below with reference to the drawings. In addition, in this specification and the drawings, substantially the same portions are denoted by the same reference numerals, thereby omitting redundant explanations.

Note that the description will be given in the following order.
1. Embodiment 1.1. System configuration example 1.2. Functional configuration example 1.3. Function details 1.4. Function flow 2 . Hardware configuration example 3 . Conclusion 4. effect

<1. embodiment>
First, the concept of moving route search according to the present embodiment will be explained in comparison with the conventional method. FIG. 1 is a diagram showing an example of a moving route search according to the related art and this embodiment.

The upper part of FIG. 1 shows an example of moving route search by the conventional method. In the conventional method, based on required time and fare, a travel route by means of transportation emphasizing efficiency and affordability is retrieved and presented to the user. Here, the means of transportation include, but are not limited to, walking, bicycles including shared cycles, railroads, buses, taxis, automobiles, electric kickboards, ships, aviation, and self-driving vehicles. including. Also, if efficiency and affordability are emphasized, trains, buses, taxis, etc. will be presented to the user when searching for a travel route, although it depends on the distance. However, while railways, especially buses and taxis, are convenient, they emit CO2, NOx, and SOx, and have a high environmental impact on the global and social environment. can be said to be low compared to

Therefore, as shown in the lower part of FIG. 1, in the present embodiment, based on predetermined criteria for the environment and health, a travel route by wellness-oriented transportation is searched for and presented to the user. be. Here, wellness is a concept that comprehensively captures health in a broader sense than just physical aspects, and is a view of health that builds a richer lifestyle by taking positive health actions. The concept of wellness includes not only the physical and mental health of humans, but also the health of the global environment and the social environment. included.

<<1.1. System configuration example >>
Next, a configuration example of the moving route search system according to this embodiment will be described. FIG. 2 is a diagram showing a configuration example of a moving route search system according to this embodiment. As shown in FIG. 2 , the travel route search system includes a recommendation device 100 and user terminals 200 . As shown in FIG. 2, the recommendation device 100 and the user terminal 200 are connected via a network N so as to be able to communicate with each other. Note that the network N can employ various communication networks such as the Internet, regardless of whether they are wired or wireless.

The recommendation device 100 is, for example, a server device managed by a service provider that provides a moving route search service. The recommendation device 100 searches for a travel route from a departure point to a destination set by the user for each travel method, calculates the degree of contribution to the environment for the searched travel route for each travel method, and based on the degree of contribution to recommend transportation to the user.

Note that the recommendation device 100 may be a cloud server device managed by a cloud computing service provider, or may be a distributed computing system composed of a plurality of computers. Details of the functional configuration of the recommendation device 100 will be described later.

The user terminal 200 is a terminal owned and used by a user searching for a moving route. The user terminal 200 may be a mobile terminal such as a smart phone or a tablet PC (Personal Computer), or may be a notebook PC or desktop PC.

The user uses the user terminal 200 to set a departure point and a destination for searching for a travel route via an application provided by the recommendation device 100 and installed in the user terminal 200 or a website. It should be noted that the setting of the departure point and the destination can be performed in advance, for example, based on the user's schedule information, with the scheduled destination as the destination and the departure point, the current location, etc., even if the user does not input all of them. It may be set based on the set information.

Using the user terminal 200, the user sets the intention to act on the moving route and the user's attribute information via a moving route search application or website. Here, the behavioral intention for the travel route is, for example, a desire to travel with a focus on wellness, a desire to travel with a focus on efficiency and affordability, and the like. User attribute information is information about the user, such as information about the user's sex, age, height, weight, place of residence, private car, and the like.

Note that FIG. 2 shows that at least two types of devices, the recommendation device 100 and the user terminal 200, are included as the moving route search system according to the present embodiment. However, the moving route search system according to this embodiment may include other information processing devices depending on the usage pattern.

<<1.2. Functional configuration example >>
Next, a functional configuration example of the recommendation device 100 according to this embodiment will be described. FIG. 3 is a block diagram showing a functional configuration example of the recommendation device 100 according to this embodiment. As shown in FIG. 3, the recommendation device 100 has a communication unit 110, a storage unit 120, and a control unit .

The communication unit 110 is a processing unit that controls communication with other devices such as the user terminal 200, and is, for example, a communication interface.

The storage unit 120 is an example of a storage device that stores various data and programs executed by the control unit 130, such as a memory or a hard disk. The storage unit 120 stores hearing information 121 , weighting factor information 122 , contribution information 123 , reference information 124 and user attribute information 125 .

(Hearing information 121)
The hearing information 121 is a data table that stores information for hearing the user about his or her intention to act on the movement route and information about the results of the hearing. FIG. 4 is a diagram showing an example of hearing information stored in the hearing information 121 according to this embodiment. The hearing information shown in FIG. 4 includes information about questions for hearing the user about his or her intention to act on the travel route, and information about user answers, which are the results of the hearing.

To explain the hearing information in Fig. 4 in more detail, in the example in Fig. 4, the information on the question "What kind of action do you want to keep in mind?" . The three types of behavioral intentions are: "I want to act in an environmentally friendly manner", "I want to consume (calories) / I want to move easily (on the contrary)", "I want to be flexible (while traveling, taking detours) / as planned. (I want to move to)”. The reason why there are three types of movement is that, for example, movement that consumes calories is contrary to easy movement, so the user's action intention can be regarded as two types instead of one type. Note that the types and number of behavioral intentions shown in FIG. 4 are merely examples, and the present invention is not limited to these.

In addition, in the example of FIG. 4, below the question for each action intention, the results of the hearing for each action intention are indicated by numerical values, and the circled numbers are the user's answers. For example, for the behavioral intention "to try to act environmentally friendly", there are 6 levels of responses from 0 to 5, with 5 indicating the strongest intention to act environmentally friendly. In addition, in the case of the behavioral intention of “I want to consume (calories) / (opposite) I want to move comfortably”, there are 6 levels of responses from -3 to 3, and 3 is the behavioral intention that I want to move comfortably. Strong, −3, indicates the strongest behavioral intention to consume calories. In this way, conflicting intent to act hearings may be conducted with one question and answer. The hearing information 121 stores hearing information including information on questions and user answers as shown in FIG. 4 for each user.

(Weighting factor information 122)
The weighting factor information 122 is a data table that stores information about the weighting factor for each means of transportation for determining the means of transportation based on the user's action intention. FIG. 5 is a diagram showing an example of weighting factor information stored in the weighting factor information 122 according to this embodiment. The weighting factor information shown in FIG. 5 includes information about weighting factors for each means of transportation for each action intention of the user. In the weighting factor information 122, each weighting factor is determined and set in advance by a service provider or the like who provides a moving route search service.

To explain the weighting coefficient information in FIG. 5 more specifically, in the example of FIG. A larger weighting factor is set so that In addition, in the case of the action intention of "I want to consume (calories)/I want to move comfortably (on the contrary)", a larger weighting factor is set for a means of transportation that allows easier movement. On the other hand, a weighting factor of a negative value is set for walking and bicycling, which cause the user to consume more calories. The reason why the negative weighting factor is set will be described in more detail when the method of determining the means of transportation is described with reference to FIG.

(Contribution information 123)
The contribution information 123 is a data table that stores information on the contribution of each means of transportation to the route searched by the user. Here, based on the concept of wellness, the degree of contribution includes not only the degree of contribution to society for the health of the global environment and social environment, but also the degree of contribution to human physical and mental health. The degree of social contribution to health for the global environment and the social environment is calculated, for example, based on the amount of emissions such as CO2 that are assumed to be emitted when moving along a movement route using each means of transportation. In addition, the degree of contribution to human physical and mental health is calculated, for example, based on calories (kcal) that are assumed to be consumed when moving along a movement route using each means of transportation.

(Reference information 124)
The reference information 124 is a data table that stores reference information for calculating the emission amount of CO2 and the like for calculating the degree of contribution, and the calorie consumption. The reference information 124 is also set in advance by a service provider or the like who provides a moving route search service.

A specific example of the reference information for calculating the amount of emissions such as CO2 is the amount of CO2 emissions per transportation amount created by the Ministry of Land, Infrastructure, Transport and Tourism, for example. FIG. 6 is a diagram showing an example of the amount of CO2 emissions per transportation amount. In general, as the amount of transportation increases, the amount of CO2 emissions also increases. Therefore, in the example of FIG. ) to calculate the average CO2 emissions per unit transport volume. Based on the reference information as shown in FIG. 6, it is possible to calculate the amount of emissions such as CO2 that would be emitted when the travel route searched by the user is traveled using each travel means.

A specific example of reference information for calculating consumed calories is the energy consumed in physical activity created by the Ministry of Health, Labor and Welfare. FIG. 7 is a diagram showing an example of energy consumed in physical activity. The example of FIG. 7 shows the energy (kcal) consumed by each physical activity according to body weight. Based on the reference information as shown in FIG. 7, it is possible to calculate the calorie consumed when the travel route searched by the user is traveled by means of transportation such as walking or bicycle. Note that when the reference information of FIG. 7 is stored in the reference information 124, only the minimum necessary information for this embodiment, such as the amount of energy consumption for normal walking and bicycling, may be stored.

(User attribute information 125)
The user attribute information 125 is a data table that stores information about the user, such as the user's sex, age, height, weight, place of residence, private car, and the like. The user attribute information 125 is set based on the result of the interview conducted by the recommendation device 100 for each user.

Note that the storage unit 120 can store various information other than the above information. Moreover, the item name and the content of each information are not limited to the above content.

The control unit 130 is a processing unit that controls the entire recommendation device 100, such as a processor. The control unit 130 includes a search unit 131 , a calculation unit 132 , a recommendation unit 133 and a hearing unit 134 . Note that each processing unit is an example of an electronic circuit included in a processor or an example of a process executed by the processor.

(Search unit 131)
The search unit 131 searches for a moving route from a starting point to a destination set by the user for each means of transportation. It should be noted that the travel route search may be performed using conventional techniques. In addition, the means of transportation to be searched may be, for example, walking, bicycles (including shared cycles), railways, buses, taxis, automobiles, electric kickboards, ships, aviation, self-driving vehicles, and any other type of transportation. Not limited. Also, in the case of shared cycle, railroad, bus, taxi, ship, and airline, travel routes via cycle ports, stations, stops, boarding points, docks, and airports may be searched.

(Calculation unit 132)
The calculation unit 132 calculates, based on a predetermined criterion, the degree of contribution to the environment for the movement route searched by the search unit 131 for each means of transportation. The predetermined criterion is, for example, the amount of CO2 emissions per transportation amount as shown in FIG. In addition, the degree of contribution to the environment for the searched travel route is, for example, the amount of CO2 emissions when traveling using each means of transportation relative to the amount of CO2 emissions when traveling the searched travel route by private car. may be calculated based on the amount of increase or decrease in In addition, the degree of contribution to the environment is evaluated in stages so that the user can understand it more easily. may be visually indicated by an icon such as a normal face. Similarly, the degree of contribution to the environment may be expressed by converting the amount of CO2 emissions into the amount of CO2 absorbed by one cedar tree per day (2.7 g/1 tree/day). It should be noted that not only CO2 but also NOx, SOx, and the like may be calculated for the amount of emissions when moving by each means of transportation, and the degree of contribution to the environment may be calculated based on each amount of emissions.

Further, the calculation unit 132 calculates the calorie consumption for each travel route searched by the search unit 131 based on a predetermined second criterion. The second predetermined criterion is, for example, energy expended in physical activity as shown in FIG. Note that the second criterion may be changed according to user attribute information (height, weight, gender, etc.). Also, the calorie consumption may be displayed by converting it into the number of rice balls, for example, so that the user can easily understand the calorie consumption.

(Recommendation unit 133)
The recommendation unit 133 recommends transportation means to the user based on the degree of contribution of each transportation means calculated by the calculation unit 132 . In addition, the recommendation unit 133 recommends a mode of transportation to the user based on the calorie consumption for each mode of transportation calculated by the calculation unit 132 . Note that the means of transportation may be recommended together with the searched travel route. Also, recommending a moving route or means of transportation to the user may be presenting the moving route or means of transportation to the user. application or website to display the searched travel route for each means of travel.

Also, recommending a means of transportation or a movement route based on the contribution of each means of transportation may be, for example, recommending a means of transportation or a movement route with the highest degree of contribution. Alternatively, it may be to recommend a plurality of means of transportation or travel routes in descending order of contribution. Also, with regard to calorie consumption, the transportation means with the highest calorie consumption or a plurality of transportation means in descending order of calorie consumption may be recommended together with the movement route. Although the degree of contribution and the calorie consumption have been described separately, the degree of contribution and the calorie consumption may be presented to the user together for each means of transportation.

In addition, the means of transportation recommended to the user may be, for example, walking, bicycle, train, bus, taxi, electric scooter, ship, aviation, self-driving car, etc. The contribution of the recommended means of transportation and the result of comparison with the degree of contribution when the searched travel route is traveled by the user's own car, the calorie consumption of the recommended travel method, and the calorie consumption when the searched travel route is traveled by the user's own car. may be presented to the user.

Note that the recommended means of transportation and travel route may be determined further based on the intention set by the user. More specifically, for example, if the user indicates that he or she wants to travel in an environmentally friendly manner as an action intention, a means of transportation, a travel route, or the like with a high degree of contribution may be recommended. On the other hand, for example, when the user indicates that he or she wants to consume calories as an action intention, a means of transportation, a route, or the like that consumes a large amount of calories may be recommended. In addition, for example, if the user indicates that he or she wants to travel with an emphasis on efficiency and value for money as a behavioral intention, as before, a means of transportation or a route with a short travel time, a means of travel or a route with a low fare, etc. may be recommended.

Further, details of the method of determining the means of transportation based on the user's action intention will be described later. A means of transportation to be recommended to the user may be determined from the means of transportation thus obtained.

(Hearing section 134)
The hearing unit 134 hears the user's action intention via, for example, a moving route search application displayed on the user terminal 200 or a website. More specifically, the hearing unit 134 causes the user terminal 200 to display, for example, the hearing information shown in FIG. input. Then, using the user's answer as a hearing result, the hearing unit 134 determines the user's action intention based on the hearing result.

The functional configuration example of the recommendation device 100 according to the present embodiment has been described above. The functional configuration described above with reference to FIG. 3 is merely an example, and the functional configuration of the recommendation device 100 according to the present embodiment is not limited to the example. For example, the recommendation device 100 does not necessarily have all of the configurations shown in FIG. Also, the recommendation device 100 may have a plurality of configurations as one configuration. The functional configuration of the recommendation device 100 according to this embodiment can be flexibly modified according to specifications and operations.

In addition, the function of each component is stored in a ROM (Read Only Memory) or a RAM (Random Access Memory) that stores a control program that describes the processing procedure for an arithmetic unit such as a CPU (Central Processing Unit) to realize these functions. A control program may be read out from a storage medium, and the program may be interpreted and executed. Therefore, it is possible to appropriately change the configuration to be used according to the technical level at which the present embodiment is implemented. Also, an example of the hardware configuration of the recommendation device 100 will be described later.

<<1.3. Function Details＞＞
Next, the recommendation processing according to the present embodiment, which is executed by the recommendation device 100, will be described in more detail with reference to FIGS. 8 to 10. FIG. FIG. 8 is a diagram showing an example of recommendation processing according to this embodiment. In the present embodiment, in order to provide the user with a transportation means that contributes more to the environment with respect to the movement route, the recommendation device 100 visualizes the degree of contribution for each means of movement, The means of transportation and the visualized degree of contribution are presented to the user via the user terminal 200 .

First, as shown in FIG. 8, the user uses the user terminal 200 to access the moving route search system provided by the recommendation device 100 via a moving route search application or website.

Next, the user uses the user terminal 200 to set a starting point and a destination for which he or she wishes to search for a moving route via a moving route search application or website. In addition, the user sets the user's attribute information and behavioral intentions, which are obtained through the moving route search application and website. The user attribute information to be heard here is, for example, information on the user's sex, age, height, weight, place of residence, private car, and the like. Further, the action intention is, for example, the action intention for the travel route, such as wanting to travel with a focus on wellness, or wanting to travel with an emphasis on efficiency and profit.

Next, the recommendation device 100 retrieves and constructs a moving route from the departure point set by the user to the destination for each means of transportation. In addition, the recommendation device 100 can determine the transportation means to be presented to the user by prioritizing the transportation means based on the behavior intention of the user that has been heard.

FIG. 9 is a diagram showing an example of a method of determining means of transportation according to the present embodiment. In the example of FIG. 9, transportation means from the first candidate to the third candidate are determined. The user's action intention portion on the left side of the table in FIG. 9 is the hearing information including the question for hearing the user and the user's answer as the hearing result described in FIG. Also, the right side of the table shows the weighting coefficient for each means of transportation for each user's action intention, as described with reference to FIG.

The recommendation device 100 calculates the total value for each transportation means by multiplying the numerical value of the user's answer by the weighting factor of each transportation means and adding the results for each transportation means. More specifically, for example, when the means of transportation is walking, the recommendation device 100 sets the numerical value of the user's response to the behavioral intention "I want to be environmentally friendly": 4, and the weighting factor of walking for the behavioral intention: 2. to calculate a numerical value of 8. Similarly, the recommendation device 100 sets the numerical value of the user's response to the action intention "I want to consume (calories)/(oppositely) I want to move comfortably": 2, and the walking weighting factor for the action intention: -1.5. to calculate a numerical value of -3. In addition, the recommendation device 100 sets the numerical value of the user's response to the action intention "flexibly/as planned (with a detour, etc.)": -1, and the weight coefficient of walking for the action intention: -1. to calculate a numerical value of 1. Then, the recommendation device 100 adds the calculated numerical values: 8, −3, and 1, and calculates the total value: 6 when the means of transportation is walking. Similarly, the recommendation device 100 calculates the total value for each means of transportation. Each total value is a value weighted by the user's action intention, that is, a value reflecting the user's desired action intention. Therefore, based on the total value for each transportation means, the priority order of the transportation means to be presented to the user is determined.

In addition, when indicating user responses of conflicting behavioral intentions such as behavioral intentions “want to consume (calories)/want to move (oppositely) comfortably” by one answer, the numerical value of one answer is set to a negative value, When the answer is selected, the weight coefficient of the action means to be preferentially presented to the user is also set to a negative value, whereby the action means to be preferentially presented can be weighted more. More specifically, for example, the user's response to the action intention "I want to consume (calories)/I want to move comfortably (on the contrary)" is a numerical value indicating "I want to consume"; By setting a negative value for the weighting factor of walking and cycling, which are easy means of transportation, negative value x negative value = positive value, and walking and cycling are weighted more by the positive value. On the other hand, the weight coefficients of trains, buses, and taxis, which are modes of transportation that do not consume many calories, have positive values, so negative values x positive values = negative values. will be reduced.

In this way, the recommendation device 100 weights and prioritizes means of transportation based on the user's response to the action intention, and determines the means of transportation to be presented to the user. Then, the recommendation device 100 presents the determined means of transportation and the route of movement using the means of transportation to the user. Note that the recommendation device 100 may, for example, determine means of transportation from the first candidate to the third candidate and present only the first candidate to the user, as in the example of FIG. Up to the third candidate may be presented with prioritization (for example, the first candidate may be presented in a form that is easiest for the user to see).

Returning to the description of FIG. 8, next, the recommendation device 100 visualizes the degree of contribution of each means of transportation to the travel route determined to be presented to the user. The degree of contribution visualized here may be, for example, the degree of contribution to society for health in the global environment or social environment, or the degree of contribution to human physical and mental health. Visualization of the degree of social contribution to health for the global environment and the social environment can be achieved, for example, by comparing the amount of CO2 emissions for each means of transportation and the amount of CO2 emissions compared to traveling by private car, as shown in Figure 8. and the amount of reduction may be presented in a format that is easy for the user to understand. In addition, the visualization of the degree of contribution to human physical and mental health can be made, for example, as shown in FIG. may be presented. The visualization of the degree of contribution is not limited to the example of FIG. 8, but may be in a format that is easier for the user to understand, for example, the degree of contribution may be indicated step by step with icons or converted into a predetermined value. you can Conversion to a predetermined value means, for example, converting the amount of CO2 emissions into the amount of CO2 absorbed by one cedar tree per day, and converting the amount of calories consumed into the number of rice balls.

Next, the recommendation device 100 presents to the user, via the user terminal 200, the means of transportation determined to be presented to the user, the movement route using the means of transportation, and the visualized degree of contribution. Also, if there is a travel route by means of transportation with a higher degree of contribution, although it was not decided to present it to the user depending on the user's response to the action intention, the recommendation device 100 can present the travel route to the user.

An example of user presentation of means of transportation, movement route, and visualized degree of contribution will be described more specifically using FIG. 10 as a recommendation screen. FIG. 10 is a diagram showing an example of a recommendation screen according to this embodiment.

The left side of FIG. 10 is a recommendation screen that is displayed on the user terminal 200 and displays the means of transportation, the movement route, and the visualized degree of contribution presented to the user. As shown on the left side of FIG. 10 , for example, as contribution levels, comparison results of CO2 emissions and calorie consumption when traveling the searched travel route by private car may be displayed at the top. Further, for example, as shown on the left side of FIG. 10 , each means of transportation may be displayed with an icon or the like in an easy-to-understand manner, and an image of the departure point and the destination may be displayed together. Further, for example, when the user presses the guidance start button shown at the lower left of the recommendation screen on the left side of FIG. The display transitions to the recommendation screen of .

The right side of FIG. 10 is a recommendation screen that further displays the starting point, destination, and moving route on the map. In addition, the user's current location may be displayed on the map, although it may be difficult to see in the example on the right side of FIG.

Also, for example, as shown in the lower right of the recommendation screen on the left side of FIG. The display on the screen can be switched to a mode of transportation or route with a higher degree of contribution, or a display of a visualized degree of contribution, and presented to the user.

The screen image shown in FIG. 10 is merely an example, and the position, size, format, etc. of each display are not limited to those in FIG. Also, when there are multiple presentation candidates, only the first candidate may be displayed, the second and subsequent candidates may be simply displayed in a list or the like, and the selected candidate may be displayed when selected by the user.

<<1.4. Function Flow>>
Next, a procedure of recommendation processing executed by the recommendation device 100 will be described with reference to FIGS. 11 and 12. FIG. FIG. 11 is a flowchart showing the flow of recommendation processing (1) according to this embodiment. The recommendation process (1) shown in FIG. 11 is started when the user uses the user terminal 200 to access an application or website provided by the recommendation device 100, and a moving route search screen is displayed. .

First, as shown in FIG. 11, the user sets the departure point and the destination of the travel route that the user wants to search via an application or website displayed on the user terminal 200 (step S101). Strictly speaking, step S101 is a process in which the recommendation device 100 receives from the user terminal 200 the starting point and the destination of the travel route set by the user.

Next, the recommendation device 100 asks the user about the user's action intention for the travel route (step S102). Strictly speaking, in step S102, the recommendation device 100 causes the user terminal 200 to display, for example, hearing information as shown in FIG. This is a process for inputting an answer to the Note that steps S101 and S102 do not have to be executed separately, and can be executed as one user input process by having the user input the intention of action together with the departure point and destination.

In the hearing of the user's action intention in step S102, if the user answers that he/she wants to move quickly (step S103: Yes), the recommendation device 100, as in the past, follows the movement route from the departure point set in step S101 to the destination. is searched by means of transportation with a short required time (step S105). After execution of step S105, the process proceeds to step S107.

On the other hand, if the user's answer is not that he wants to move quickly (step S103: No), the recommendation device 100 prioritizes each means of transportation based on the user's behavioral intention, which is the result of the hearing in step S102 (step S104). Prioritization of each means of transportation can be performed based on the user's action intention and the weighting factor of each means of transportation, as described with reference to FIG.

Next, the recommendation device 100 searches for a travel route for each travel means, such as up to the third candidate, based on the prioritization performed in step S104 (step S106).

Next, the recommendation device 100 calculates the environmental load and calorie consumption of the searched movement route for each means of transportation (step S107). The environmental load may be at least one of CO2, NOx, and SOx emissions.

Next, the recommendation device 100 calculates the environmental load and calorie consumption of the searched travel route when using a private car (step S108). It should be noted that the search for the movement route when using a private car may be executed together in step S108, or may be executed together with the search for the movement route when using each means of transportation in steps S105 and S106. good too.

Next, the recommendation device 100 calculates the difference between the environmental load and calorie consumption when using each means of transportation calculated in step S107 and the environmental load and calorie consumption when using a private car calculated in step S108. , the environmental load reduction amount and the calorie consumption increase amount are calculated (step S109).

Next, the recommendation device 100 calculates the degree of contribution for each means of transportation based on the environmental load reduction amount and the calorie consumption increase amount calculated in step S109, and outputs it to the user terminal 200 together with the searched movement route. and presented to the user (step S110). After execution of step S110, recommendation processing (1) shown in FIG. 11 ends, but recommendation processing (2) shown in FIG. 12 is subsequently executed.

FIG. 12 is a flowchart showing the flow of recommendation processing (2) according to this embodiment. The recommendation process (2) shown in FIG. 12 is also executed by the recommendation device 100 as an operator.

As a result of presenting the movement route and contribution degree searched in step S110 of FIG. 11 to the user, when the user requests presentation of a movement route with a higher degree of contribution (step S201: Yes), Search for a travel route when using a transportation means with a higher degree of contribution (step S202). Here, the request for presentation of a travel route with a higher degree of contribution is, for example, the intention of the user to consume calories, but travel by means of transportation that consumes the same amount of calories and emits less CO2. This is a request for presenting a route. Alternatively, the user's behavioral intention is to try to act in an environmentally friendly manner, but the request is for presentation of a movement route by a means of transportation that has the same amount of CO2 emissions and consumes more calories. Alternatively, the user's behavioral intention is simply to move quickly, but the request is to present a moving route by means of transportation that emits less CO2 or consumes more calories. However, it is not limited to these cases.

Next, the recommendation device 100 calculates the environmental load and calorie consumption of the travel route when using the travel means with a higher degree of contribution searched in step S202 (step S203).

Next, the recommendation device 100 calculates the environmental load and calorie consumption when using the means of transportation with a higher degree of contribution calculated in step S203, and the environmental load when using a private car calculated in step S108 of FIG. and calorie consumption, the reduction in environmental load and the increment in calorie consumption are calculated (step S204). It should be noted that steps S202 to S204 have already been searched in step S106 of FIG. does not need to be executed.

Next, the recommendation device 100 calculates the degree of contribution when using a mode of transportation with a higher degree of contribution based on the reduction in environmental load and the increase in calorie consumption calculated in step S204 (or step S109), and searches for It is output to the user terminal 200 and presented to the user together with the travel route thus determined (step S205).

Next, the recommendation device 100 starts guidance on the travel route output in step S205 (step S206). Strictly speaking, step S206 is executed when, for example, the travel route and contribution are presented to the user in step S205, and the user requests via the user terminal 200 to start guidance based on those details. If the user does not request presentation of a travel route with a higher degree of contribution (step S201: No), the recommendation device 100 starts guidance on the travel route output in step S110 of FIG. 11 (step S206). After execution of step S206, the recommendation process (2) shown in FIG. 12 ends.

<2. Hardware configuration example>
Next, a hardware configuration example of the recommendation device 100 according to this embodiment will be described. FIG. 13 is a block diagram showing a hardware configuration example of the recommendation device 100 according to this embodiment. Referring to FIG. 13, the recommendation device 100 includes, for example, a processor 801, a ROM 802, a RAM 803, a host bus 804, a bridge 805, an external bus 806, an interface 807, an input device 808, and an output device 809. , a storage 810 , a drive 811 , a connection port 812 and a communication device 813 . Note that the hardware configuration shown here is an example, and some of the components may be omitted. Moreover, it may further include components other than the components shown here.

(processor 801)
The processor 801 functions, for example, as an arithmetic processing device or a control device, and controls the overall operation or part of each component based on various programs recorded in the ROM 802, the RAM 803, the storage 810, or the removable recording medium 901. .

(ROM802, RAM803)
The ROM 802 is means for storing programs to be read into the processor 801 and data used for calculations. The RAM 803 temporarily or permanently stores, for example, a program to be read into the processor 801 and various parameters that appropriately change when the program is executed.

(Host bus 804, bridge 805, external bus 806, interface 807)
The processor 801, ROM 802, and RAM 803 are interconnected via, for example, a host bus 804 capable of high-speed data transmission. On the other hand, the host bus 804 is connected, for example, via a bridge 805 to an external bus 806 with a relatively low data transmission speed. Also, the external bus 806 is connected to various components via an interface 807 .

(Input device 808)
For example, a mouse, keyboard, touch panel, button, switch, and lever are used as the input device 808 . Furthermore, as the input device 808, a remote controller capable of transmitting control signals using infrared rays or other radio waves may be used. The input device 808 also includes a voice input device such as a microphone.

(output device 809)
The output device 809 is, for example, a display device such as a CRT (Cathode Ray Tube), an LCD, or an organic EL, an audio output device such as a speaker or headphone, a printer, a mobile phone, a facsimile, or the like, and outputs the acquired information to the user. It is a device that can be notified visually or audibly. Also, the output device 809 according to this embodiment includes various vibration devices capable of outputting tactile stimulation.

(storage 810)
Storage 810 is a device for storing various data. As the storage 810, for example, a magnetic storage device such as a hard disk drive (HDD), a semiconductor storage device, an optical storage device, a magneto-optical storage device, or the like is used.

(Drive 811)
The drive 811 is, for example, a device that reads information recorded on a removable recording medium 901 such as a magnetic disk, optical disk, magneto-optical disk, or semiconductor memory, or writes information to the removable recording medium 901 .

(Connection port 812)
The connection port 812 is, for example, a USB (Universal Serial Bus) port, an IEEE1394 port, a SCSI (Small Computer System Interface), an RS-232C port, or a port for connecting an external connection device 902 such as an optical audio terminal. be.

(Communication device 813)
The communication device 813 is a communication device for connecting to a network. subscriber line) or a modem for various communications.

(Removable recording medium 901)
The removable recording medium 901 is, for example, DVD media, Blu-ray (registered trademark) media, HD DVD media, various semiconductor storage media, and the like. Of course, the removable recording medium 901 may be, for example, an IC card equipped with a contactless IC chip, an electronic device, or the like.

(External connection device 902)
The externally connected device 902 is, for example, a printer, portable music player, digital camera, digital video camera, or IC recorder.

Note that the storage unit 120 according to this embodiment is realized by the ROM 802, the RAM 803, and the storage 810. FIG. Further, the control unit 130 according to the present embodiment realized by the processor 801 reads and executes each control program that realizes the search unit 131, the calculation unit 132, the recommendation unit 133, the hearing unit 134, etc. from the ROM 802, the RAM 803, etc. . Further, the communication unit 110 according to the present embodiment reads data from the ROM 802, the RAM 803, etc., sends the data to the communication device 813 via the host bus 804, the bridge 805, the external bus 806, and the interface 807, and transmits the data to the external device. send. The communication unit 110 also writes data received by the communication device 813 to the ROM 802 and RAM 803 via the interface 807, the external bus 806, the bridge 805, and the host bus 804, and receives data from the external device.

<3. Summary>
As described above, the recommendation device 100 searches for a moving route from the departure point to the destination set by the user for each means of transportation, and based on a predetermined criterion, creates an environment for the searched moving route. is calculated for each means of transportation, and the means of transportation is recommended to the user based on the degree of contribution of each means of transportation.

As a result, the recommendation device 100 can provide a means of transportation that contributes more to the environment for the route of travel.

Although the preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, the technical scope of the present disclosure is not limited to such examples. It is obvious that a person having ordinary knowledge in the technical field of the present disclosure can conceive of various modifications or modifications within the scope of the technical idea described in the claims. are naturally within the technical scope of the present disclosure.

<4. Effect>
As described above, the recommendation device 100 can achieve various effects with the following configuration. However, the effects described herein are merely illustrative or exemplary and not limiting. In other words, the technology according to the present disclosure can produce other effects that are obvious to those skilled in the art from the description of this specification in addition to or instead of the above effects.

(1) searching for a moving route from a starting point to a destination set by the user for each means of transportation;
calculating, based on a predetermined criterion, the degree of contribution to the environment for the searched travel route for each of the travel means;
A recommendation device 100 comprising a control unit 130 that executes a process of recommending the means of transportation to the user based on the degree of contribution of each means of transportation.

As a result, the recommendation device 100 calculates, for each means of transportation, the degree of contribution to the environment for the route of travel searched based on a predetermined criterion, and recommends the means of travel to the user based on the degree of contribution. It is possible to provide a means of transportation with a higher degree of contribution to the environment for the route.

(2) The control unit 130 executes a process of calculating the calorie consumption for the searched movement route for each means of transportation based on a second predetermined criterion,
The recommendation device 100 according to (1), wherein the recommending process includes a process of recommending the means of transportation to the user further based on the calorie consumption for each means of transportation.

As a result, the recommendation device 100 can take better health behaviors for the physical and mental health of humans, and can provide the user with means of transportation that contribute more to the environment.

(3) The recommendation device 100 according to (2), wherein the process of recommending includes a process of recommending the means of transportation suitable for the user further based on the intention set by the user.

As a result, the recommendation device 100 can provide the user with transportation means that contributes more to the environment in line with the user's behavioral intention.

(4) The recommended process is
weighting the means of transportation based on the intention;
determining a first means of transportation from the weighted means of transportation based on the contribution and the calorie consumption for each of the means of transportation;
The recommendation device 100 according to (3), further comprising a process of recommending the first transportation means as the transportation means suitable for the user.

As a result, the recommendation device 100 can provide the user with a means of transportation that is more in line with the user's behavioral intention and that contributes more to the environment.

(5) The process of recommending includes a process of presenting to the user at least one of the contribution and the calorie consumption of the transportation means to be recommended. recommendation device 100;

Thereby, the recommendation device 100 can provide the user with the degree of contribution to the environment and the calorie consumption for each means of transportation.

(6) the moving means to be recommended is a moving body;
The recommending process includes comparing the contribution of the transportation means to be recommended with the contribution when the user travels along the searched movement route by the user's own car, and The method according to (5), characterized by including a process of presenting to the user at least one of a result of comparison between the calorie consumption and the calorie consumption when the searched travel route is traveled by the private car. recommendation device 100;

As a result, the recommendation device 100 can provide the user with the degree of contribution to the environment and consumed calories for each means of transportation in a more comprehensible manner.

(7) The control unit 130 executes a process of calculating the degree of contribution when traveling by the private car based on at least one emission amount of CO2, NOx, and SOx based on the displacement of the private car. The recommendation device 100 according to (6) characterized by:

As a result, the recommendation device 100 can provide the user with a more easily understandable degree of contribution to the environment for each means of transportation.

(8) Any one of (1) to (7), wherein the predetermined reference is the emission amount of at least one of CO2, NOx, and SOx for each means of transportation. Recommendation device.

As a result, the recommendation device 100 can provide the user with a more easily understandable degree of contribution to the environment for each means of transportation.

(9) the predetermined second criterion is the calorie consumption by physical activity according to body weight;
Any one of (2) to (8), wherein the process of calculating the calorie consumption includes a process of calculating the calorie consumption for each means of transportation further based on the weight of the user. The recommendation device described in .

As a result, the recommendation device 100 can provide the user with the calorie consumption for each means of transportation in a manner more suited to the user.

100 recommendation device 110 communication unit 120 storage unit 121 hearing information 122 weighting factor information 123 contribution information 124 reference information 125 user attribute information 130 control unit 131 search unit 132 calculation unit 133 recommendation unit 134 hearing unit 200 user terminal

Claims (11)

Searches for a travel route from the departure point to the destination set by the user for each means of transportation,
calculating, based on a predetermined criterion, the degree of contribution to the environment for the searched travel route for each of the travel means;
A recommendation device, comprising: a control unit that recommends the means of transportation to the user based on the degree of contribution of each means of transportation. The control unit executes a process of calculating the calorie consumption for the searched movement route for each means of transportation based on a second predetermined criterion,
The recommendation device according to claim 1, wherein the recommending process includes a process of recommending the means of transportation to the user further based on the calorie consumption for each means of transportation. 3. The recommendation device according to claim 2, wherein the recommending process includes recommending the means of transportation suitable for the user further based on an intention set by the user. The recommended process is
weighting the means of transportation based on the intention;
determining a first means of transportation from the weighted means of transportation based on the contribution and the calorie consumption for each of the means of transportation;
4. The recommendation device according to claim 3, further comprising a process of recommending the first transportation means as the transportation means suitable for the user. 5. The recommendation device according to claim 3, wherein the process of recommending includes a process of presenting at least one of the contribution and the consumed calories of the transportation means to be recommended to the user. The moving means to be recommended is a moving object,
The recommending process includes comparing the contribution of the transportation means to be recommended with the contribution when the user travels along the searched movement route by the user's own car, and 6. The method according to claim 5, further comprising a process of presenting to the user at least one of a comparison result between the calorie consumption and the calorie consumption when the searched travel route is traveled by the private car. Recommendation device. The control unit is characterized in that, based on at least one emission amount of CO2, NOx, and SOx based on the displacement of the private vehicle, the processing of calculating the contribution when traveling by the private vehicle is performed. The recommendation device according to claim 6. 8. The recommendation device according to any one of claims 1 to 7, wherein the predetermined criterion is at least one emission amount of CO2, NOx, and SOx for each means of transportation. the predetermined second criterion is the calorie consumption by physical activity according to body weight;
9. The process of calculating the calorie consumption according to any one of claims 2 to 8, wherein the process of calculating the calorie consumption includes a process of calculating the calorie consumption for each means of transportation further based on the weight of the user. recommendation device. The information processing device
Searches for a travel route from the departure point to the destination set by the user for each means of transportation,
calculating, based on a predetermined criterion, the degree of contribution to the environment for the searched travel route for each of the travel means;
A recommendation method, comprising: recommending the means of transportation to the user based on the degree of contribution of each means of transportation. information processing equipment,
Searches for a travel route from the departure point to the destination set by the user for each means of transportation,
calculating, based on a predetermined criterion, the degree of contribution to the environment for the searched travel route for each of the travel means;
A recommendation program for executing a process of recommending the means of transportation to the user based on the degree of contribution of each means of transportation.

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