GHG emission derivation device, GHG emission derivation method, and computer

Abstract

To provide a greenhouse gas (GHG) emission derivation device, a GHG emission derivation method, and a computer.SOLUTION: In a GHG emission derivation system in which a taxi meter mounted on a taxi and a GHG emission derivation device are communicatively connected via a network, a GHG emission derivation device 200 has a control unit that comprises: an acquiring unit that acquires fee information indicating charged fees charged for the use of a transportation facility; an identifying unit that identifies distance addition fees that are added according to a distance traveled in the transportation facility among the fees indicated in the fee information; and a deriving unit that derives a greenhouse gas emission (GHG emission) associated with the use of the transportation facility based on the distance addition fees.SELECTED DRAWING: Figure 5

Description

Technical Field

[0001] The present invention relates to a GHG emission amount derivation device, a GHG emission amount derivation method, and a computer.

Background Art

[0002] Patent Document 1 describes calculating the amount of carbon dioxide emissions related to transportation expenses in an information processing system that accepts applications for reimbursement of transportation expenses by employees, etc. in companies, etc. [Prior Art Document] [Patent Document]

[0003] [Patent Document 1] Japanese Patent No. 7045601

Summary of the Invention

Means for Solving the Problems

[0004] A GHG emission amount derivation device according to an aspect of the present invention may include an acquisition unit that acquires fee information indicating a claim fee claimed along with the use of a transportation means, a specification unit that specifies a distance addition fee that is added according to the moving distance of the transportation means among the fees indicated by the fee information, and a derivation unit that derives a greenhouse gas emission amount (GHG emission amount) associated with the use of the transportation means based on the distance addition fee.

[0005] The derivation unit may derive the GHG emission amount based on a distance addition unit fee emission coefficient indicating the GHG emission amount per unit fee determined in advance for the distance addition fee of the transportation means and the specified distance addition fee.

[0006] In any of the above GHG emission amount derivation devices, the derivation unit may specify the moving distance of the transportation means corresponding to the specified distance addition fee based on the addition fee per predetermined unit distance of the transportation means, and derive the GHG emission amount based on a unit distance emission coefficient indicating the GHG emission amount per predetermined unit distance with respect to the moving distance of the transportation means and the specified moving distance.

[0007] In any of the above-mentioned GHG emission derivation devices, the derivation unit may derive the GHG emissions associated with the use of the transportation based on a predetermined GHG emission amount for the basic charge incurred for travel up to a predetermined upper limit distance, which is included in the charges incurred in connection with the use of the transportation.

[0008] In any of the above-mentioned GHG emission derivation devices, the identification unit may further identify a time-based surcharge that is added to the fare information according to the amount of time during the period of use of the transportation that meets predetermined conditions. The derivation unit may further derive GHG emissions based on a unit fare emission coefficient for time-based surcharges that indicates the GHG emissions per predetermined unit fare for the time-based surcharge of the transportation, and the identified time-based surcharge, and may derive the GHG emissions associated with the use of the transportation based on the GHG emissions based on the distance-based surcharge and the GHG emissions based on the time-based surcharge.

[0009] In any of the above-mentioned GHG emission derivation devices, the derivation unit may derive the GHG emissions associated with the use of the transportation based on a predetermined GHG emission amount for the basic charge incurred for travel up to a predetermined upper limit distance, which is included in the charges incurred in connection with the use of the transportation.

[0010] In any of the above-mentioned GHG emission derivation devices, the derivation unit may derive the GHG emissions based on a distance-based unit fare emission coefficient that indicates the GHG emissions per unit fare predetermined for the distance-based fare of the transportation service and the specified distance-based fare, or it may determine the travel distance of the transportation service corresponding to the specified distance-based fare based on a predetermined unit-distance fare of the transportation service, and derive the GHG emissions based on a unit-distance emission coefficient that indicates the GHG emissions per unit distance predetermined for the travel distance of the transportation service and the specified travel distance. The GHG emission derivation device may further include a selection unit that selects the one emission coefficient with the highest accuracy based on emission coefficient information that indicates the accuracy of GHG emission derivation associated with each of the first unit fare emission coefficient predetermined for each individual transportation service, the second unit fare emission coefficient predetermined for each type of transportation service, the first unit-distance emission coefficient predetermined for each individual transportation service, and the second unit-distance emission coefficient predetermined for each type of transportation service. The derivation unit may derive the GHG emissions corresponding to the specified distance surcharge, or the distance traveled by the mode of transport corresponding to the specified distance surcharge, according to the selected emission coefficient.

[0011] In any of the aforementioned GHG emission derivation devices, the charge information may indicate at least one of the distance-based charges associated with the use of the transportation, or the distance traveled by the transportation corresponding to the distance-based charges.

[0012] In any of the aforementioned GHG emission derivation devices, the charge information may indicate at least one of the distance-based charge associated with the use of the transportation, or the distance traveled associated with the use of the transportation, and a time-based charge added according to the time during which the predetermined conditions are met during the period of use of the transportation.

[0013] In any of the aforementioned GHG emission derivation devices, the predetermined condition may be that the speed of the transportation vehicle is less than or equal to a predetermined speed.

[0014] Any of the aforementioned GHG emission derivation devices may further include a generation unit that generates related information associating the GHG emissions with the billing charges.

[0015] Any of the aforementioned GHG emissions derivation devices may further include a generation unit that generates invoice data showing the billing charges and the GHG emissions.

[0016] A GHG emission calculation device according to one aspect of the present invention may include: an acquisition unit that acquires charge information indicating the charge amount billed in connection with the use of a means of transport, and distance information indicating the distance traveled by the means of transport in connection with the use of the means of transport; an identification unit that identifies a time-based charge added from the charge information according to the time during the period of use of the means of transport that satisfies predetermined conditions; a calculation unit that derives a first GHG emission based on a unit distance emission coefficient indicating the greenhouse gas emissions (GHG emissions) per unit distance predetermined for the distance traveled by the means of transport and the distance traveled as indicated in the distance information; a second GHG emission based on a unit charge emission coefficient indicating the GHG emissions per unit charge predetermined for the time-based charge of the means of transport and the identified time-based charge; and a calculation unit that derives the GHG emissions associated with the use of the means of transport based on the first GHG emission and the second GHG emission.

[0017] In the aforementioned GHG emission extraction device, the predetermined condition may be that the speed of the transportation vehicle is less than or equal to a predetermined speed.

[0018] In any of the aforementioned GHG emission derivation devices, the mode of transport may be a taxi, and the fare information may be information generated by a taxi meter installed in the taxi.

[0019] A method for deriving GHG emissions according to one aspect of the present invention may include the steps of: an acquisition unit acquiring charge information indicating charges billed in connection with the use of transportation; an identification unit identifying distance-based charges added according to the distance traveled by the transportation from among the charges indicated in the charge information; and a derivation unit deriving greenhouse gas emissions (GHG emissions) associated with the use of the transportation based on the distance-based charges.

[0020] A method for deriving GHG emissions according to one aspect of the present invention may include the steps of: an acquisition unit acquiring charge information indicating the charge to be billed in connection with the use of a means of transport, and distance information indicating the distance traveled by the means of transport in connection with the use of the means of transport; an identification unit identifying a time-based charge from the charge information indicated, which is added according to the time during the period of use of the means of transport that satisfies predetermined conditions; and a derivation unit deriving a first GHG emission based on a unit distance emission coefficient indicating the greenhouse gas emissions (GHG emissions) per unit distance predetermined for the distance traveled by the means of transport and the distance traveled indicated in the distance information; a second GHG emission based on a unit charge emission coefficient indicating the GHG emissions per unit charge predetermined for the time-based charge of the means of transport and the identified time-based charge; and a third step of deriving the GHG emissions associated with the use of the means of transport based on the first GHG emission and the second GHG emission.

[0021] A program according to one aspect of the present invention may function as an acquisition unit that acquires fare information indicating the charges billed in connection with the use of transportation, an identification unit that identifies distance-based charges added according to the distance traveled by the transportation from among the fares indicated in the fare information, and a derivation unit that derives greenhouse gas emissions (GHG emissions) associated with the use of the transportation based on the distance-based charges.

[0022] A program according to an aspect of the present invention includes an acquisition unit that acquires fee information indicating a claim fee charged along with the use of a transportation facility and distance information indicating the moving distance of the transportation facility associated with the use of the transportation facility, a specifying unit that specifies a time addition fee that is added according to a time satisfying a predetermined condition during the use of the transportation facility among the fees indicated by the fee information, a unit distance emission coefficient indicating the greenhouse gas emission amount (GHG emission amount) per unit distance predetermined for the moving distance of the transportation facility, and based on the moving distance indicated by the distance information, a first GHG emission amount is derived. Based on a unit fee emission coefficient indicating the GHG emission amount per unit fee predetermined for the time addition fee of the transportation facility and the specified time addition fee, a second GHG emission amount is derived. A computer may function as a derivation unit that derives the GHG emission amount associated with the use of the transportation facility based on the first GHG emission amount and the second GHG emission amount.

[0023] Note that the above summary of the invention does not list all the features of the present invention. Also, sub-combinations of these feature groups can also be inventions.

Brief Description of the Drawings

[0024] [Figure 1] It is an overall view of the GHG emission amount derivation system according to the present embodiment. [Figure 2] It is a functional block diagram of a taximeter. [Figure 3] It is a functional block diagram of a GHG emission amount derivation device. [Figure 4] It is a diagram showing an example of a table storing the unit fee emission coefficient for distance addition, the unit fee emission coefficient for time addition, the unit distance emission coefficient, and the initial ride GHG emission amount. [Figure 5] It is a flowchart for deriving the GHG emission amount corresponding to the distance addition fee. [Figure 6] It is a flowchart for deriving the GHG emission amount corresponding to the basic fee, the GHG emission amount corresponding to the distance addition fee, and the GHG emission amount corresponding to the time addition fee. [Figure 7] It is a flowchart for deriving another GHG emission amount according to this embodiment. [Figure 8] It is a diagram showing an example of a computer in which a plurality of aspects of the present invention may be embodied in whole or in part.

Mode for Carrying Out the Invention

[0025] Hereinafter, the present invention will be described through embodiments of the invention. However, the following embodiments do not limit the invention according to the claims. Also, not all combinations of features described in the embodiments are essential for the solution of the invention.

[0026] FIG. 1 is an overall view of a GHG emission amount derivation system according to this embodiment. The GHG emission amount derivation system includes a taxi meter 100 and a GHG emission amount derivation device 200. The taxi meter 100 is mounted on a taxi 10. The taxi meter 100 calculates a fare to be charged to a user when the user uses the taxi 10 as a means of transportation. The GHG emission amount derivation device 200 derives the greenhouse gas emission amount (GHG emission amount) generated with the use of the taxi 10 based on the fare calculated by the taxi meter 100. The taxi meter 100 and the GHG emission amount derivation device 200 are communicably connected via a network. The network is, for example, the Internet and is constructed by a public telephone line network, a mobile phone line network, a wireless communication path, Ethernet (registered trademark), or the like. Note that the taxi meter 100 may incorporate the GHG emission amount derivation device 200.

[0027] Figure 2 is a functional block diagram of the taxi meter 100. The taxi meter 100 comprises a driving pulse detection unit 102, a display unit 104, a communication unit 106, a receipt issuing unit 108, a control unit 110, and a storage unit 120. The control unit 110 includes a driving pulse monitoring unit 111, a distance calculation unit 114, a distance-based fare calculation unit 115, a duration calculation unit 116, a time-based fare calculation unit 117, and a billing fare calculation unit 118. The control unit 110 may be composed of a microprocessor such as a CPU or MPU, a microcontroller such as an MCU, etc.

[0028] The driving pulse detection unit 102 is located in the drivetrain of the taxi 10. The driving pulse detection unit 102 detects driving pulses corresponding to the mechanical rotation speed of the tires or the drivetrain, such as the transmission, as the taxi 10 moves. The driving pulse detection unit 102 may be composed of a rotary encoder or the like.

[0029] The driving pulse monitoring unit 111 monitors the driving pulses detected by the driving pulse detection unit 102. During operation, the driving pulse monitoring unit 111 compares the frequency of the detected driving pulses with the frequency data of driving pulses corresponding to a predetermined minimum speed stored in the storage unit 120. When the driving pulse monitoring unit 111 detects a driving pulse with a frequency below that of the predetermined minimum speed (for example, 10 km / h), it turns on the timer 112, and when it detects a driving pulse with a frequency exceeding the minimum speed, it turns off the timer 112.

[0030] The distance calculation unit 114 calculates the distance traveled by the taxi 10 based on the driving pulse information from the driving pulse monitoring unit 111 and the circumference of the tires.

[0031] The duration calculation unit 116 calculates the duration for which the taxi 10 traveled at the lowest speed, based on the time measured by the timer 112.

[0032] The distance-based surcharge calculation unit 115 calculates the distance-based surcharge based on the distance traveled (for example, 80 yen for every 255 meters).

[0033] The time-based fare calculation unit 117 calculates a time-based fare that is added according to the duration of time the taxi 10 travels at the minimum speed (for example, 80 yen for every 1 minute and 35 seconds).

[0034] The billing calculation unit 118 calculates the billing charges incurred for using a taxi. For example, it calculates the taxi billing charges by totaling a basic fare incurred for the distance traveled up to a predetermined upper limit (for example, 450 yen for up to 1200m), a distance-based surcharge added according to the distance traveled (for example, 80 yen for every 255m), and a time-based surcharge added according to the time that predetermined conditions are met (for example, 80 yen for every 1 minute and 35 seconds). The billing calculation unit 118 also performs various processes as needed, such as applying surcharges, discounts, and service charges, as well as adding charges if there are advance payments for highway tolls, etc.

[0035] The display unit 104 may be a liquid crystal display device and may display the distance traveled by the taxi 10, the duration of travel at the minimum speed, the billed fare, and the GHG emissions generated in connection with the use of the taxi 10. The method for deriving GHG emissions will be described later. In Figure 2, the display unit 104 is shown as being located on the taxi meter 100, but it may be located separately from the taxi meter 100. The display unit 104 is provided on the front panel of the housing of the taxi meter 100 and is positioned so that the displayed content is visible to passengers and taxi drivers.

[0036] The communication unit 106 manages communication between each component within the taxi meter 100. Furthermore, it provides a communication function for data communication with the GHG emissions deducting device 100. The communication unit 106 may communicate with the GHG emissions deducting device 200 wirelessly.

[0037] The receipt issuance unit 108 outputs a receipt with the calculated billing amount printed on it. The receipt issuance unit 108 may also print the derived GHG emissions, described later, as the GHG emissions generated as a result of using the taxi 10, along with the billing amount, and output the receipt.

[0038] The storage unit 120 may be a computer-readable recording medium and may include at least one of SRAM, DRAM, EPROM, EEPROM (registered trademark), and flash memory such as a USB memory. The storage unit 120 stores programs and other data necessary for calculating the fare charged for using a taxi. The storage unit 120 stores the calculation rules necessary for calculating the fare charged for using a taxi, as well as frequency data and pulse interval data of driving pulses corresponding to a predetermined minimum speed. The taxi fare system is not fixed and is updated as needed. The storage unit 120 also stores various information such as discounted fares, surcharges, and service charges.

[0039] Figure 3 is a functional block diagram of the GHG emission extraction device 200.

[0040] The GHG emissions extraction device 200 according to this embodiment comprises a communication unit 230, a storage unit 220, and a control unit 210. The storage unit 220 may be a computer-readable recording medium and may include at least one of SRAM, DRAM, EPROM, EEPROM (registered trademark), and flash memory such as a USB memory. The control unit 210 may be composed of a microprocessor such as a CPU or MPU, a microcontroller such as an MCU, etc. The control unit 210 has an acquisition unit 212, a specification unit 214, an extraction unit 216, a selection unit 218, and a generation unit 219.

[0041] The communication unit 230 manages communication between each component within the GHG emissions deducting device 200. In addition, the communication unit 230 also provides data communication functionality with the taxi meter 100.

[0042] The storage unit 220 may be a computer-readable recording medium and may include at least one of SRAM, DRAM, EPROM, EEPROM (registered trademark), and flash memory such as a USB memory. The storage unit 220 stores programs and the like necessary to derive the GHG emissions generated by the use of a taxi. The storage unit 220 stores emission coefficient information for each type of transportation, including each emission coefficient for deriving GHG emissions and the GHG emissions for the initial fare.

[0043] (First Embodiment) The first embodiment will be described below, using the case where the mode of transport is a taxi as an example. In the aforementioned Patent Document 1, the travel distance is calculated by dividing the fare included in the transportation cost information by the unit distance fare corresponding to the mode of transport, and the amount of environmentally harmful substances emitted is calculated by multiplying the calculated travel fare by the emission coefficient corresponding to the mode of transport. However, Patent Document 1 assumes that the fare and the travel distance are always proportional, and in some cases it is not possible to accurately calculate the amount of environmentally harmful substances emitted. Therefore, in this embodiment, a GHG emission derivation device, a GHG emission derivation method, and a program are provided that can accurately derive GHG emissions associated with the use of modes of transport.

[0044] For the purposes of this explanation, we will assume that the taxi fare system is as follows: a base fare of 450 yen for the first 1200m, with an additional 80 yen for every 255m thereafter, and an additional 80 yen for every 1 minute and 35 seconds when traveling at a speed of 10km / h or less. Assume that the taxi starts its journey empty, the actual distance traveled is 1710m (base fare 1200m + 510m), and the duration of travel at the minimum speed was 1 minute and 35 seconds.

[0045] The acquisition unit 212 acquires fare information indicating the charges incurred in connection with the use of public transportation. The acquisition unit 212 acquires fare information indicating the charges incurred in connection with the use of public transportation from the taxi meter 100. The acquisition unit 212 may acquire fare information displayed on the display unit 104 of the taxi meter 100 from the taxi meter 100. The fare information shows a total charge of 690 yen, and as a breakdown of the 690 yen charge, it includes 450 yen for the initial fare of 1200m, 160 yen for distance-based charges of 80 yen added for every 255m of travel distance, and 80 yen for time-based charges added according to the duration of minimum speed. In this specification, the initial fare is a basic charge incurred for the travel distance up to a predetermined upper limit. The charge added for every 255m of travel distance is a predetermined additional charge per unit distance of public transportation. The time-based charge added according to the duration of minimum speed is a time-based charge added according to the duration of time during which predetermined conditions are met during the period of use of public transportation.

[0046] The identification unit 214 identifies the distance-based surcharge that is added to the fare shown in the fare information, according to the distance traveled by the mode of transport. The identification unit 214 identifies 160 yen as the distance-based surcharge that is added to the fare of 690 yen shown in the fare information, according to the distance traveled by taxi, which is 510m.

[0047] The derivation unit 216 derives the GHG emissions associated with the use of public transportation based on distance-based charges. The derivation unit 216 derives the GHG emissions associated with the use of a taxi based on a distance-based charge of 160 yen. For example, the derivation unit 216 may derive the GHG emissions associated with the use of a taxi by multiplying the distance-based charge of 160 yen by 0.00220 (kgCO2 / yen) for taxis and hire cars, which is listed as the emission intensity per transportation cost paid by transportation category in the emission intensity database for calculating the greenhouse gas emissions of an organization throughout its supply chain. Alternatively, the storage unit 220 may pre-store the average value of the GHG emissions corresponding to a travel distance of 255m, which has been measured in advance, as the GHG emissions corresponding to 255m. The derivation unit 216 may refer to the storage unit 220 to identify the GHG emissions for 255m. For example, in the case of a travel distance of 510m, the derivation unit 216 may derive the GHG emissions for a travel distance of 510m by doubling the GHG emissions for the specified 255m. The method of derivation is not limited.

[0048] The derivation unit 216 may derive GHG emissions based on a distance-based unit fare emission coefficient that indicates the GHG emissions per predetermined unit fare for distance-based fares of transportation, and the specified distance-based fare. Here, for example, the distance-based unit fare emission coefficient for taxis and hire cars may be 0.00220 (kgCO2 / yen), which is listed as the emission factor per transportation fare payment by transportation category in the emission factor database for calculating the greenhouse gas emissions of an organization throughout its supply chain. The derivation unit 216 multiplies the distance-based unit fare emission coefficient of 0.00220 (kgCO2 / yen) by the distance-based fare of 160 yen to derive a GHG emission of 0.352 (kgCO2).

[0049] The derivation unit 216 may determine the travel distance of a transportation service corresponding to a specified distance surcharge based on a predetermined surcharge per unit distance of the transportation service, and derive the GHG emissions based on a unit distance emission coefficient that shows the predetermined GHG emissions per unit distance for the travel distance of the transportation service, and the specified travel distance. The predetermined surcharge per unit distance of the transportation service is 80 yen for every 255m. The breakdown of the billed fare of 690 yen is 450 yen for the initial fare of 1200m, 160 yen for the distance surcharge which is added for every 255m traveled, and 80 yen for the time surcharge which is added for the duration of travel below the minimum speed. Therefore, the travel distance of the transportation service corresponding to the distance surcharge is (690 (billed fare) - 450 (initial fare) - 80 (duration)) ÷ 80 (surcharge per 255m) × 255 (m) = 510m. As the unit distance emission factor, which indicates the predetermined GHG emissions per unit distance for the distance traveled by means of transportation, the value of 0.438 (kgCO2 / person·km) for taxis and hire cars, listed as the emission factor per passenger·km by transportation category in the emission factor database for calculating the greenhouse gas emissions of organizations throughout the supply chain as described above, may be used. The derivation unit 216 multiplies the unit distance emission factor of 0.438 by the travel distance of 510m to derive a GHG emission of 0.22338 (kgCO2).

[0050] The derivation unit 216 may derive the GHG emissions associated with the use of public transportation based on a predetermined GHG emission for the basic fare incurred for travel up to a predetermined upper limit of distance, among the charges billed for the use of public transportation. Here, the storage unit 220 may store a predetermined GHG emission for each public transportation company, such as a taxi company, based on the basic fare incurred for travel up to a predetermined upper limit of distance. For example, the storage unit 220 may store the average value of the GHG emissions measured for the initial fare of 1200m as the predetermined GHG emission for each taxi company based on the basic fare incurred for travel up to a predetermined upper limit of distance. Alternatively, for example, the memory unit 220 may store 0.5256 (kgCO2), which is the result of multiplying the emission factor of taxis and hire cars (0.438 / kgCO2 / person·km), listed as the emission factor per passenger·km by transportation category in the emission factor database for calculating the organization's greenhouse gas emissions, etc., throughout the supply chain, by 1200m, as the predetermined GHG emission for the basic fare. Note that the emission factors in the emission factor database for calculating the organization's greenhouse gas emissions, etc., throughout the supply chain are merely examples, and emission factors from other emission factor databases or from a proprietary database may be used.

[0051] The specific unit 214 may further specify the time-based surcharge that is added to the fare shown in the fare information according to the amount of time during the period of use of the transportation that meets predetermined conditions. The specific unit 214 may further specify the time-based surcharge that is added to the fare of 690 yen shown in the fare information according to the amount of time during the period of use of the taxi that meets the minimum speed (10 km / h or less) while the taxi is in operation. The specific unit 214 may specify a time-based surcharge of 80 yen from (690 (billed fare) - 450 (initial fare) - 160 (distance-based surcharge) = 80 yen.

[0052] The derivation unit 216 may further derive GHG emissions based on a unit fare emission coefficient for time-based fare, which indicates the GHG emissions per predetermined unit fare for time-based fare for transportation, and the specified time-based fare. The derivation unit 216 may further derive GHG emissions by multiplying the unit fare emission coefficient for time-based fare by the specified time-based fare of 80 yen. Incidentally, the duration of taxi driving at minimum speed can be evaluated as idling time. According to a survey by the Environment Agency, the amount of gasoline consumed in 10 minutes of idling is 0.14 L. Therefore, the amount of gasoline consumed in 1 second of idling is 0.14 ÷ 600 L. If the unit time for time-based fare is 1 minute and 35 seconds (95 seconds), the amount of gasoline per unit time for time-based fare is 0.14 ÷ 600 × 95 L. According to the (1) Fuel Method of the emission factor (1 / 3) for [Transportation] in the [2] Calculation, Reporting, and Publication System of the Global Warming Countermeasures Act within the emission factor database for calculating the greenhouse gas emissions of an organization throughout its supply chain, the emission factor per unit of gasoline is 2.322 tCO2 / kL. Based on the above information, the unit rate emission factor (kgCO2 / yen) for time-based additions can be calculated using the following formula. Unit charge emission factor for time-based surcharge (kgCO2 / yen) = 0.14 ÷ 600 × 95 ÷ 1000 × 2.322 ÷ 80 × 1000 The calculated unit charge emission factor (kgCO2 / yen) for time-based charges is 0.00064. The derivation unit 216 multiplies the unit charge emission factor (kgCO2 / yen) of 0.00064 for time-based charges by the time-based charge of 80 yen to derive a GHG emission of 0.0512 (kgCO2).

[0053] Next, the derivation unit 216 derives the GHG emissions associated with the use of public transport based on the GHG emissions based on distance charges and the GHG emissions based on time charges. The derivation unit 216 adds the previously derived GHG emissions of 0.352 (kgCO2) based on distance charges and 0.0512 (kgCO2) based on time charges to derive the GHG emissions of 0.4032 (kgCO2) associated with the use of a taxi.

[0054] The derivation unit 216 may derive the GHG emissions associated with the use of public transport based on a predetermined GHG emission amount for the basic charge incurred for travel up to a predetermined upper limit distance, among the charges billed for the use of public transport. The derivation unit 216 may derive the GHG emissions associated with the use of public transport by summing the GHG emissions based on distance charges, time charges, and the predetermined GHG emissions for the basic charge. The derivation unit 216 derives 0.9288 (kgCO2) of GHG emissions associated with the use of public transport by summing the derived GHG emissions of 0.352 (kgCO2) based on distance charges, the derived GHG emissions of 0.0512 (kgCO2) based on time charges, and the predetermined GHG emissions for the basic charge of 0.5256 (kgCO2).

[0055] The derivation unit 216 may derive the GHG emissions based on a distance-based unit fare emission coefficient that indicates the GHG emissions per unit fare predetermined for the distance-based fare of the transportation service, and the specified distance-based fare. Alternatively, it may determine the travel distance of the transportation service corresponding to the specified distance-based fare based on the predetermined fare per unit distance of the transportation service, and derive the GHG emissions based on a unit distance emission coefficient that indicates the GHG emissions per unit distance predetermined for the travel distance of the transportation service, and the specified travel distance. In this regard, the derivation unit 216 has already derived a GHG emission of 0.352 (kgCO2) by multiplying the specified distance-based fare of 160 yen by a distance-based unit fare emission coefficient of 0.00220 (kgCO2 / yen). Similarly, the derivation unit 216 has already derived a GHG emission of 0.22338 (kgCO2) by multiplying the unit distance emission coefficient of 0.438 (kgCO2 / person·km) by the travel distance of 510m.

[0056] The GHG emission derivation device 200 further includes a selection unit that selects the one emission factor with the highest accuracy based on emission factor information indicating the accuracy of GHG emission derivation associated with each of the following: a first unit fare emission factor predetermined for each mode of transport, a second unit fare emission factor predetermined for each type of transport, a first unit distance emission factor predetermined for each mode of transport, and a second unit distance emission factor predetermined for each type of transport. The accuracy of the emission factors is higher for the unit distance emission factor than for the unit fare emission factor. Similarly, the first unit fare emission factor is more accurate than the second unit fare emission factor. In the same way, the first unit distance emission factor is more accurate than the second unit distance emission factor. Here, the first unit fare emission factor and the first unit distance emission factor are unique emission factors of the taxi company, etc. The second unit charge emission factor and the second unit distance emission factor are, for example, emission factors in an emission source database used to calculate an organization's greenhouse gas emissions throughout its supply chain, or industry average emission factors. The priority relationship between the first unit charge emission factor, the second unit charge emission factor, the first unit distance emission factor, and the second unit distance emission factor is as follows:

[0057] [Table 1]

[0058] The selection unit 218 selects the emission factor with the highest accuracy from among the first unit charge emission factor, the second unit charge emission factor, the first unit distance emission factor, and the second unit distance emission factor, based on the emission factor information of "first" or "second" which represents the type of emission factor. In the table in Figure 4, each emission factor may be stored together with emission factor information that represents the type of emission factor, such as "first" or "second".

[0059] The derivation unit 216 derives GHG emissions corresponding to a specified distance surcharge or the distance traveled by a mode of transport corresponding to a specified distance surcharge, according to the selected emission factor. The derivation unit 216 derives GHG emissions by multiplying the selected emission factor by the specified distance surcharge or the distance traveled.

[0060] The fare information shows at least one of the distance-based surcharge associated with the use of public transport, or the distance traveled by public transport corresponding to the distance-based surcharge. The fare information may show the distance-based surcharge of 160 yen associated with the use of a taxi, as mentioned above, or the distance traveled by taxi of 510m corresponding to the distance-based surcharge of 160 yen. The display unit 104 may display the distance-based surcharge of 160 yen and the distance traveled of 510m corresponding to that distance-based surcharge as fare information.

[0061] The fare information shows either a distance-based surcharge for using public transport, or at least one of the distance traveled using public transport, plus a time-based surcharge added according to the time during which predetermined conditions are met during the period of use of public transport. In this case, the fare information may also show the distance-based surcharge of 160 yen for using a taxi, or the taxi travel distance of 510m corresponding to the distance-based surcharge of 160 yen, plus a time-based surcharge of 80 yen. The display unit 104 may display the distance-based surcharge of 160 yen, the taxi travel distance of 510m corresponding to the distance-based surcharge of 160 yen, and the time-based surcharge of 80 yen as fare information.

[0062] The predetermined condition is that the speed of the mode of transport is below a predetermined speed. For example, in the case of a taxi, the predetermined condition may be that the taxi's speed is 10 km / h or less. Note that the predetermined speed is not fixed and is updated in accordance with revisions to the fare system.

[0063] The GHG emissions calculation device 200 further includes a generation unit that generates related information that associates GHG emissions with billing charges. The generation unit 219 generates related information by associating the calculated GHG emissions with the billing charges. For example, it generates related information by associating the calculated GHG emissions with the initial fare of 450 yen, the distance-based surcharge of 160 yen, and the time-based surcharge of 80 yen, and stores the generated data in the storage unit 220.

[0064] The generation unit 219 generates invoice data showing the billing fee and GHG emissions. It generates invoice data showing the initial base fare of 450 yen, distance-based surcharge of 160 yen, and time-based surcharge of 80 yen, along with the corresponding GHG emissions of 0.5256 (kgCO2), 0.352 (kgCO2), and 0.0512 (kgCO2), and may output this as a receipt from the receipt issuing unit 108 of the taxi meter 100. The generation unit 219 may generate related information associating GHG emissions with the billing fee, and at least one of the invoice data showing the billing fee and GHG emissions.

[0065] (Second Embodiment) Next, a second embodiment will be described. In the first embodiment, distance-based and time-based charges were obtained based on fare information from the taxi meter. In the second embodiment, the time-based charge is obtained using fare information from the taxi meter, similar to the first embodiment. On the other hand, the travel distance of the taxi 10 or other means of transport is determined using the GPS receiver of the car navigation system. The GPS receiver determines the travel distance by calculating the current position of the taxi 10 at the reception point by receiving radio waves from multiple GPS satellites. In addition to the GPS receiver, the travel distance may also be determined based on the departure point information and destination information of the car navigation system.

[0066] The acquisition unit 212 acquires fare information indicating the billing fee charged for the use of public transport, and distance information indicating the distance traveled by public transport. The acquisition unit 212 acquires fare information displayed on the display unit 104 of the taxi meter 100 from the taxi meter 100. The display unit 104 displays 690 yen. The acquisition unit 212 may acquire the travel distance of 1710m as distance information from the car navigation system installed in the taxi 10. The acquisition unit 212 may acquire departure information and destination information from the car navigation system as information to identify the travel distance. The acquisition unit 212 may also acquire departure information and destination information from a device other than the car navigation system, for example, from a user terminal.

[0067] The identification unit 214 identifies the time-based surcharge, which is added to the fare shown in the fare information according to the amount of time during the period of use of the transportation that meets predetermined conditions. The identification unit 214 may identify the time-based surcharge of 80 yen by obtaining the time-based surcharge displayed on the display unit 104 of the taxi meter 100 from the taxi meter 100.

[0068] The derivation unit 216 may derive a first GHG emission based on a unit distance emission coefficient that indicates the greenhouse gas emissions (GHG emissions) per unit distance predetermined for the distance traveled by public transport, and the distance traveled as indicated in the distance information. It may also derive a second GHG emission based on a unit fare emission coefficient that indicates the GHG emissions per unit fare predetermined for the time-based surcharge of public transport, and the specified time-based surcharge. Finally, it may derive the GHG emissions associated with the use of public transport based on the first and second GHG emissions.

[0069] Similar to the first embodiment, the unit distance emission factor is set to 0.438 (kgCO2 / person·km) for taxis and hire cars, which is listed as the emission factor per passenger·km by transportation category in the emission factor database for calculating the organization's greenhouse gas emissions throughout the supply chain. The derivation unit 216 derives the first GHG emission based on the unit distance emission factor of 0.438 and the travel distance of 1710m shown in the distance information. Specifically, the derivation unit 216 derives the first GHG emission of 0.74898 (kgCO2) by multiplying the unit distance emission factor of 0.438 by the travel distance of 1710m. Next, in the second embodiment, similar to the first embodiment, the unit fare emission factor for time-based charges (kgCO2 / yen) of 0.00064 is used as the unit fare emission factor that indicates the GHG emission per unit fare predetermined for time-based charges. The derivation unit 216 multiplies the time-based unit charge emission coefficient (kgCO2 / yen) of 0.00064 by the time-based charge of 80 yen to derive a second GHG emission of 0.0512 (kgCO2). Subsequently, the derivation unit 216 adds the first GHG emission of 0.74898 (kgCO2) and the second GHG emission of 0.0512 (kgCO2) together to derive a total value of 0.80018 (kgCO2) as the GHG emission associated with the use of public transportation.

[0070] The predetermined condition is that the speed of the mode of transport is below a predetermined speed. For example, in the case of taxi 10, the taxi's speed must be 10 km / h or less. Note that the predetermined speed is not fixed and is updated in accordance with revisions to the fare system.

[0071] The mode of transport is a taxi 10, and the fare information is information generated by a taxi meter 100 installed in the taxi 10. The mode of transport may be an electric vehicle (EV) taxi or other electric vehicle, and the above-mentioned unit fare emission coefficient and unit distance emission coefficient may relate to the use of such electricity. In particular, if the mode of transport is powered by renewable energy such as solar power generation, the above-mentioned unit fare emission coefficient and unit distance emission coefficient may be 0.

[0072] Next, referring to Figure 5, we will describe the flow for deriving GHG emissions corresponding to distance-based charges according to the first embodiment.

[0073] In S100, the acquisition unit 212 acquires the fare information for the target mode of transport. The acquisition unit 212 acquires the fare information of 690 yen displayed on the display unit 104 of the taxi meter 100 from the taxi meter 100. The fare information may show a base fare of 450 yen and a distance-based surcharge of 160 yen.

[0074] In S102, the identification unit 214 identifies a distance-based surcharge of 160 yen from the fare information. The identification unit 214 may identify a distance-based surcharge of 160 yen by obtaining the distance-based surcharge of 160 yen displayed on the display unit 104 of the taxi meter 100 from the taxi meter 100.

[0075] In S104, the identification unit 214 refers to the emission coefficient information to identify the unit fare emission coefficient for distance addition for the target transportation. For example, the identification unit 214 refers to a table stored in the storage unit 220, as shown in Figure 4, to identify the unit fare emission coefficient for distance addition for transportation A. Note that the unit fare emission coefficient for distance addition and the unit fare emission coefficient for fare addition shown in Figure 4 may each have emission coefficient information indicating the accuracy of the emission coefficient, such as a first and second emission coefficient. When identifying the unit fare emission coefficient for distance addition, the identification unit 214 may identify the first unit fare emission coefficient, which has higher accuracy.

[0076] In S106, the derivation unit 216 multiplies the distance-based surcharge of 160 yen by the unit surcharge emission coefficient for distance-based surcharges to derive the GHG emissions associated with the use of the relevant mode of transport. The flow then ends.

[0077] Through the above process, the GHG emission calculation device 200 derives the GHG emissions associated with the use of taxi 10 from the distance-based surcharge, which is determined by the distance traveled by taxi 10, rather than from the billed fare. Therefore, the GHG emissions associated with the use of taxi 10 can be calculated with greater accuracy.

[0078] Referring to Figure 6, the flow for deriving the total GHG emissions, which is the sum of the initial fare GHG emissions, distance-based surcharge GHG emissions, and time-based surcharge GHG emissions, according to the first embodiment will be explained.

[0079] In S200, the acquisition unit 212 acquires the fare information for the target mode of transport from the taxi meter 100. The acquisition unit 212 may acquire the fare information of 690 yen displayed on the display unit 104 of the taxi meter 100 from the taxi meter 100. In addition to the billed fare, the fare information shows distance-based charges and time-based charges. The fare information may further show the base fare.

[0080] In S202, the identification unit 214 identifies the distance-based fare and the time-based fare from the fare information. The identification unit 214 may identify the distance-based fare and the time-based fare by obtaining the distance-based fare of 160 yen and the time-based fare of 80 yen displayed on the display unit 104 of the taxi meter 100 from the taxi meter 100.

[0081] In S204, the identification unit 214 refers to the emission coefficient information to identify the unit fare emission coefficient for distance addition and the unit fare emission coefficient for time addition for the target transportation. For example, as shown in Figure 4, the identification unit 214 identifies the unit fare emission coefficient for distance addition for transportation A. The identification unit 214 also identifies the unit fare emission coefficient for time addition for transportation A. If the emission coefficients have type information indicating accuracy, the identification unit 214 may identify the emission coefficient with higher accuracy.

[0082] In S206, the derivation unit 216 multiplies the distance-based charge of 160 yen by the unit charge emission coefficient for distance-based charges (for example, the aforementioned 0.00220 kgCO2 / yen) to derive a GHG emission of 0.352 (kgCO2) for distance-based charges. The derivation unit 216 also multiplies the time-based charge of 80 yen by the unit charge emission coefficient for time-based charges (for example, the aforementioned 0.00064 kgCO2 / yen) to derive a GHG emission of 0.0512 (kgCO2) for time-based charges.

[0083] In S208, the derivation unit 216 derives the GHG emissions (for example, the aforementioned 0.5256 (kgCO2)) for the initial fare (basic fare) by referring to the table shown in Figure 4.

[0084] In S210, the derivation unit 216 adds up the GHG emissions of 0.352 for distance addition, 0.0512 for time addition, and a predetermined GHG emission of 0.5256 for the initial fare (basic fare) to derive the GHG emissions of 0.9288 (kgCO2) associated with the use of the target transportation. The flow ends.

[0085] Through the above process, the GHG emission calculation device 200 calculates the GHG emissions for each of the basic fare, distance-based surcharge, and time-based surcharge included in the billed fare of the taxi 10 separately, using emission coefficients tailored to the characteristics of each component. By summing these GHG emissions, the device calculates the total GHG emissions associated with the use of the taxi 10. In addition to the GHG emissions associated with the distance traveled by the taxi 10, the GHG emissions generated while the taxi 10 is idling are also taken into account when calculating the total GHG emissions associated with the use of the taxi 10. Therefore, the GHG emissions associated with the use of the taxi 10 can be calculated with greater accuracy.

[0086] Referring to Figure 7, the flow for deriving GHG emissions according to the second embodiment will be explained.

[0087] In S300, the acquisition unit 212 acquires fare information and distance information for the target mode of transport. The fare information may show a time-based surcharge of 80 yen. The fare information may further show a base fare and a distance-based surcharge. The acquisition unit 212 may acquire the fare information displayed on the display unit 104 of the taxi meter 100 from the taxi meter 100. In addition, the acquisition unit 212 acquires distance information indicating a travel distance of 1710m from the car navigation system installed in the taxi 10.

[0088] In S302, the identification unit 214 identifies the time-based surcharge by referring to the fare information. The identification unit 214 may identify the time-based surcharge by obtaining the time-based surcharge of 80 yen displayed on the display unit 104 of the taxi meter 100 from the taxi meter 100.

[0089] In S304, the identification unit 214 refers to the table in Figure 4 to identify the unit distance emission coefficient and the unit fare emission coefficient for time-based additions for the target transportation. For example, the identification unit 214 identifies the unit distance emission coefficient for transportation A (0.438 (kgCO2 / person·km) as mentioned above). The identification unit 214 also identifies the unit fare emission coefficient for time-based additions for transportation A (0.00064 (kgCO2 / yen) as mentioned above).

[0090] In S306, the derivation unit 216 multiplies the travel distance of 1700m by the unit distance emission coefficient of 0.438 (kgCO2 / person·km) to derive the GHG emissions for the travel distance of 0.7446 (kgCO2). In addition, the derivation unit 216 multiplies the time-based charge of 80 yen by the unit charge emission coefficient for time-based charges of 0.00064 (kgCO2 / yen) to derive the GHG emissions for the time-based charge of 0.0512 (kgCO2).

[0091] In S308, the derivation unit 216 adds up the GHG emissions for the distance traveled (0.7446 kgCO2) and the GHG emissions for the time added (0.0512 kgCO2), and derives a total value of 0.7958 kgCO2 as the GHG emissions associated with the use of the transportation system in question.

[0092] Through the above process, the GHG emission calculation device 200 calculates the GHG emissions associated with the use of taxi 10 by taking into account not only the GHG emissions associated with the distance traveled by taxi 10, but also the GHG emissions generated by taxi 10 while idling. Therefore, the GHG emissions associated with the use of taxi 10 can be calculated with greater accuracy.

[0093] Figure 8 shows an example of a computer 1200 in which multiple aspects of the present invention may be embodied in whole or in part. A program installed on the computer 1200 can cause the computer 1200 to function as an operation associated with an apparatus according to an embodiment of the present invention, or as one or more "parts" of said apparatus. Alternatively, the program can cause the computer 1200 to execute said operation or said one or more "parts". The program can cause the computer 1200 to execute a process or a stage of said process according to an embodiment of the present invention. Such a program may be executed by the CPU 1212 to cause the computer 1200 to execute a particular operation associated with some or all of the blocks in the flowcharts and block diagrams described herein.

[0094] The computer 1200 according to this embodiment includes a CPU 1212 and RAM 1214, which are interconnected by a host controller 1210. The computer 1200 also includes a communication interface 1222 and input / output units, which are connected to the host controller 1210 via an input / output controller 1220. The computer 1200 also includes a ROM 1230. The CPU 1212 operates according to programs stored in the ROM 1230 and RAM 1214, thereby controlling each unit.

[0095] The communication interface 1222 communicates with other electronic devices via a network. A hard disk drive may store programs and data used by the CPU 1212 in the computer 1200. The ROM 1230 stores boot programs and / or programs that depend on the computer 1200's hardware, such as a boot program executed by the computer 1200 upon activation. Programs are provided via a computer-readable recording medium such as a CD-ROM, USB memory, or IC card, or via a network. Programs are installed in RAM 1214, which is also an example of a computer-readable recording medium, or in ROM 1230, and executed by the CPU 1212. The information processing described within these programs is read by the computer 1200, resulting in coordination between the programs and the various types of hardware resources described above. An apparatus or method may be configured to implement the operation or processing of information in accordance with the use of the computer 1200.

[0096] For example, when communication is performed between a computer 1200 and an external device, the CPU 1212 may execute a communication program loaded into RAM 1214 and, based on the processing described in the communication program, instruct the communication interface 1222 to perform communication processing. Under the control of the CPU 1212, the communication interface 1222 reads the transmission data stored in the transmission buffer area provided in RAM 1214 or a recording medium such as a USB memory, sends the read transmission data to the network, or writes the received data received from the network to a receive buffer area or the like provided on the recording medium.

[0097] Furthermore, the CPU 1212 may read all or necessary parts of a file or database stored on an external storage medium such as a USB memory stick into the RAM 1214, and perform various types of processing on the data in the RAM 1214. The CPU 1212 may then write the processed data back to the external storage medium.

[0098] Various types of information, such as various types of programs, data, tables, and databases, may be stored on the recording medium and subjected to information processing. The CPU 1212 may perform various types of processing on the data read from RAM 1214, including various types of operations, information processing, conditional judgments, conditional branching, unconditional branching, information retrieval / replacement, etc., as described throughout this disclosure and specified by the program instruction sequence, and write the results back to RAM 1214. The CPU 1212 may also retrieve information in files, databases, etc., within the recording medium. For example, if multiple entries are stored in the recording medium, each having an attribute value of a first attribute associated with an attribute value of a second attribute, the CPU 1212 may search among the multiple entries for an entry that matches the condition for which the attribute value of the first attribute is specified, read the attribute value of the second attribute stored in that entry, and thereby obtain the attribute value of the second attribute associated with the first attribute that satisfies a predetermined condition.

[0099] The program or software module described above may be stored on or near computer 1200 on a computer-readable storage medium. Alternatively, a recording medium such as a hard disk or RAM provided within a server system connected to a dedicated communication network or the Internet can be used as a computer-readable storage medium, thereby providing the program to computer 1200 via the network.

[0100] Computer-readable media may include any tangible device capable of storing instructions that can be executed by a suitable device. As a result, computer-readable media having instructions stored therein will comprise a product containing instructions that can be executed to create means for performing operations specified in a flowchart or block diagram. Examples of computer-readable media may include electronic storage media, magnetic storage media, optical storage media, electromagnetic storage media, semiconductor storage media, etc. More specific examples of computer-readable media may include floppy disks (registered trademark), diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), electrically erasable programmable read-only memory (EEPROM (registered trademark)), static random access memory (SRAM), compact disk read-only memory (CD-ROM), digital versatile disk (DVD), Blu-ray (RTM) disk, memory stick, integrated circuit card, etc.

[0101] Computer-readable instructions may include either source code or object code written in any combination of one or more programming languages. Source code or object code may include conventional procedural programming languages. These conventional procedural programming languages ​​may include assembler instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or object-oriented programming languages ​​such as Smalltalk®, Java®, C++, etc., and the "C" programming language or similar programming languages. Computer-readable instructions may be provided locally or via a wide area network (WAN) such as a local area network (LAN) or the internet to the processor or programmable circuit of a general-purpose computer, a special-purpose computer, or other programmable data processing device. The processor or programmable circuit may execute computer-readable instructions to create means for performing operations specified in a flowchart or block diagram. Examples of processors include computer processors, processing units, microprocessors, digital signal processors, controllers, microcontrollers, etc.

[0102] Although the present invention has been described above using embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments. It will be apparent to those skilled in the art that various modifications or improvements can be made to the above embodiments. It will be clear from the claims that such modified or improved forms may also be included in the technical scope of the present invention.

[0103] It should be noted that the execution order of operations, procedures, steps, and stages in the apparatus, systems, programs, and methods shown in the claims, specifications, and drawings is not explicitly stated as "before," "prior to," etc., and that these can be implemented in any order unless the output of a previous process is used in a later process. Even if the operation flow in the claims, specifications, and drawings is described using phrases such as "first," "next," etc. for convenience, it does not mean that it is essential to perform the operations in that order. [Explanation of Symbols]

[0104] 10 Taxi 100 Taxi meter 102 Driving pulse detection unit 104 Display section 106 Communications Department 108 Receipt Issuance Section 110 Control Unit 111 Driving pulse monitoring unit 112 timers 114 Distance calculation unit 115 Distance-based fare calculation unit 116 Duration calculation unit 117 Time-based surcharge calculation unit 118 Billing and Calculation Unit 120 Storage section 210 Control Unit 212 Acquisition Department 214 Specific section 216 Derivation part 218 Selection Section 219 Generation part 230 Communications Department 220 Storage section 1200 Computers 1210 Host Controller 1212 CPU 1214 RAM 1220 Input / Output Controller 1222 Communication Interface 1230 ROM

Claims

1. A unit that acquires fare information indicating the charges incurred in connection with the use of public transportation from a vehicle used for the aforementioned public transportation, A specific section that identifies the distance-based surcharge added to the fare information shown, which is added according to the distance traveled by the mode of transport, Based on the distance-based charges, the system includes a deduction unit that derives the greenhouse gas emissions (GHG emissions) associated with the use of the transportation system. A GHG emission derivation device equipped with [the following].

2. The derivation unit derives the GHG emissions based on a distance-based unit charge emission coefficient that indicates the GHG emissions per unit charge predetermined for the distance-based charge of the transportation system, and the specified distance-based charge. The GHG emission extraction device according to claim 1.

3. The derivation unit determines the travel distance of the transportation service corresponding to the specified distance-based surcharge, based on the predetermined surcharge per unit distance of the transportation service. Based on a unit distance emission coefficient that indicates the GHG emissions per unit distance predetermined for the distance traveled by the aforementioned means of transport, and the specified distance traveled, the GHG emissions are derived. The GHG emission extraction device according to claim 1.

4. The derivation unit derives the GHG emissions associated with the use of the transportation service based on a predetermined GHG emission amount for the basic fare incurred for travel up to a predetermined upper limit distance among the charges billed for the use of the transportation service, The GHG emission extraction device according to claim 1.

5. The specified unit further specifies the time-based surcharges that are added to the fares shown in the fare information, according to the amount of time during which predetermined conditions are met for the period of use of the transportation service, The derivation unit further derives GHG emissions based on a time-based unit charge emission coefficient for time-based charges that indicates the GHG emissions per unit charge predetermined for the time-based charges of the transportation service, and the specified time-based charges. Based on the GHG emissions based on the distance-based surcharge and the GHG emissions based on the time-based surcharge, the GHG emissions associated with the use of the transportation are derived. The GHG emission extraction device according to claim 1.

6. The derivation unit derives the GHG emissions based on a distance-adding unit charge emission coefficient that indicates the GHG emissions per unit charge predetermined for the distance-adding charge of the transportation service, and the specified distance-adding charge, or it identifies the travel distance of the transportation service corresponding to the specified distance-adding charge based on the predetermined unit-distance surcharge of the transportation service. Based on the GHG emission coefficient, which is a predetermined unit distance emission coefficient for the travel distance of the aforementioned means of transport, and the specified travel distance, the GHG emission is derived. The aforementioned GHG emission derivation device is, The system further includes a selection unit that selects the one emission coefficient with the highest accuracy based on emission coefficient information indicating the accuracy of GHG emission derivation associated with each of the following: a first unit fare emission coefficient predetermined for each mode of transport, a second unit fare emission coefficient predetermined for each type of transport, a first unit distance emission coefficient predetermined for each mode of transport, and a second unit distance emission coefficient predetermined for each type of transport. The derivation unit derives the GHG emissions corresponding to the specified distance surcharge, or the distance traveled by the mode of transport corresponding to the specified distance surcharge, according to the selected emission coefficient. The GHG emission extraction device according to claim 1.

7. The aforementioned fare information indicates at least one of the distance-based surcharge associated with the use of the transportation, or the distance traveled by the transportation corresponding to the distance-based surcharge. The GHG emission extraction device according to claim 1.

8. The aforementioned fare information indicates at least one of the distance-based surcharge associated with the use of the transportation, or the distance traveled associated with the use of the transportation, and a time-based surcharge added according to the time during which the predetermined conditions are met during the period of use of the transportation. The GHG emission extraction device according to claim 5.

9. The system further comprises a generation unit that generates related information associating the aforementioned billing charges with the aforementioned GHG emissions, and at least one of the billing charges and the aforementioned GHG emissions. The GHG emission extraction device according to claim 1.

10. The aforementioned mode of transportation is a taxi. The aforementioned fare information is information generated by the taxi meter installed in the taxi. A GHG emission extraction device according to any one of claims 1 to 9.

11. The acquisition unit acquires fare information indicating the charges incurred in connection with the use of transportation from the vehicle used for said transportation. The identifying unit includes the step of identifying the distance-based surcharge that is added to the fare information according to the distance traveled by the transportation method, The derivation unit performs the step of deriving the greenhouse gas emissions (GHG emissions) associated with the use of the transportation based on the distance-based surcharge. A method for deriving GHG emissions, comprising the following:

12. A unit that acquires fare information indicating the charges incurred in connection with the use of public transportation from a vehicle used for the aforementioned public transportation, A specific section that identifies the distance-based surcharge added to the fare information shown, which is added according to the distance traveled by the mode of transport, Based on the distance-based charges, the system includes a deduction unit that derives the greenhouse gas emissions (GHG emissions) associated with the use of the transportation system. A program that makes a computer function.

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