Method for improving bicycle utilization rate to reduce carbon emission based on mobile application

Abstract

The invention discloses a method for improving the utilization rate of a bicycle based on a mobile application so as to reduce carbon emission. The method aims at protecting the environment by motivating a user to ride. According to the method, a bicycle weight value selection system, a personal information system, a score value calculation system, a score value ranking system, an offline match ranking system and a learning communication system are included, and through a regional dynamic ranking mechanism and a weight difference compensation algorithm of a mobile application, the riding enthusiasm of a user is effectively stimulated; the purpose of increasing the utilization rate of the bicycle to reduce carbon emission is achieved.

Description

Technical Field

[0001] The present invention relates to the field of environmental protection and intelligent transportation technology, and in particular to a method for increasing bicycle usage based on mobile applications to reduce carbon emissions. Background Art

[0002] Green development in the transportation sector. In light of the carbon emission characteristics of the transportation sector, a green and low-carbon transportation action plan was proposed on October 24, 2021. Although pure human-powered bicycle riding can achieve zero carbon emissions and has comprehensive benefits such as alleviating traffic congestion and improving public health, its usage rate is still subject to the following multiple constraints:

[0003] 1. Lack of an incentive system: Existing cycling mobile applications (such as Blackbird Bike and Walker) focus on track recording and basic social interaction, and do not provide core incentive mechanisms based on bicycle weight selection, regional dynamic rankings, and international competition.

[0004] 2. Imbalance in scoring and race times: Traditional mileage calculations show an imbalance in scoring and race times for light and heavy bikes. The lack of an algorithm to compensate for weight differences has led to a lack of enthusiasm among general users to participate.

[0005] Therefore, it is of great significance to use technical means to break the bottleneck of bicycle usage, assist in the green transformation of urban transportation, and develop a method based on mobile applications to increase bicycle usage and reduce carbon emissions. Summary of the Invention

[0006] In order to overcome the shortcomings of existing mobile application technology, the present invention provides a method based on mobile applications to increase bicycle usage and reduce carbon emissions. This method effectively improves user enthusiasm for cycling through a unique regional ranking display mechanism and weight difference compensation algorithm.

[0007] The technical solution steps adopted by the present invention to solve the technical problem are:

[0008] 1. A bicycle weight value selection system is provided for setting a bicycle weight value in a mobile application with multiple values ranging from 5 to 25 kg (including the endpoint values), which is determined based on the user's actual bicycle weight value. The user is only allowed to modify the bicycle weight value in the mobile application once a year.

[0009] 2. Personal information system, used for mobile applications to collect personal information based on user selections.

[0010] 3. The scoring value calculation system sets the bicycle weight difference compensation algorithm scoring value calculation formula as follows:

[0011]

[0012] The mobile application calculates the score based on the kilometers ridden and meters climbed collected by the user through GPS positioning, and the selected bicycle weight value using a formula. In the formula, 5≤bicycle weight value≤25, which is a range that matches the actual weight value of a pure human-powered bicycle.

[0013] 4. Score ranking system, used for mobile applications to rank and display users based on their scores. The content displayed on the mobile application interface includes user name, country name, flag, score, and dynamic ranking in a bar chart. The ranking data is updated every hour.

[0014] 5. Offline race rankings are determined based on the order in which participants actually reach the finish line. The time taken is determined based on the actual weight of the user's bicycle. The start time advance value calculation formula for an 8 kg bicycle is calculated as zero and the speed is calculated based on the score calculation formula:

[0015]

[0016] In the formula, the unit of advance value is minutes, the unit of race distance is kilometers, and the unit of speed is kilometers per hour.

[0017] 6. A learning and communication system, which allows mobile app users to share cycling experiences based on bicycle weight, and provides the functions of publishing and viewing articles and short video content.

[0018] Due to the adoption of the above technical solution, the present invention has the following beneficial effects:

[0019] 1. It is beneficial for the general public to use low-cost heavy bicycles to gain points and participate in offline competitions alongside high-priced light bicycles.

[0020] 2. It is conducive to increasing bicycle usage, reducing carbon emissions, and promoting mutual communication, learning, and encouragement. DETAILED DESCRIPTION

[0021] [Example 1]

[0022] 1. Bicycle Weight Selection System: Users select bicycle weights through a mobile app. The bicycle weight range is set between 5 and 25 kg (inclusive), with 1 kg increments, balancing user selection flexibility with system calculation efficiency. The determination of the bicycle weight value for the mobile app depends on the actual bicycle weight value in offline competitions. The decimal portion of the actual bicycle weight value is rounded to the nearest whole kilogram. The user's eligibility to participate in offline competitions is determined by their mobile app score ranking. There are anti-cheating rules for user mobile app scores. The larger the bicycle weight value selected for the mobile app, the smaller the actual bicycle weight value selected offline. The mobile app's riding speed will be faster, the kilometer value will be larger, and the score will be higher. Therefore, the online mobile app bicycle weight value is set to ≤ the actual bicycle weight value for offline competitions. Users are only allowed to modify the bicycle weight value in the mobile app once a year.

[0023] 2. Personal information systems, used for mobile applications, select users based on their personal information, including but not limited to usernames and nationalities. All personal information managers strictly abide by the relevant laws and regulations of the National Cybersecurity Law to ensure the security of users' personal information and data.

[0024] 3. Score Calculation System: Users click "Continue" on the mobile app to start a ride and "Stop" to end it. The score is calculated using the kilometers and meters of ascent collected by GPS positioning and the selected bicycle weight (online bicycle weight value ≤ offline actual value) using the bicycle weight difference compensation algorithm formula:

[0025]

[0026] Users can view their riding data and scores through the mobile app interface. The constants in the formula (such as 0.6, 40, and 138) are set based on the balanced energy consumption ratio of vehicles of different weights. This is intended to ensure fairness in the competition between vehicles of different weights. When the energy consumed by vehicles of different weights is comparable, the scores calculated by the system will remain balanced. When users ride at the same intensity (for example, user Wang Jun rides at maximum intensity for one hour), the scores of vehicles of different weights are balanced. An example is shown in the following table:

[0027]

[0028] 4. A score ranking system is used in mobile applications to rank and display users' cycling scores. The content displayed on the mobile application interface includes user name, country name, flag, score, and dynamic ranking in a bar chart. Ranking data is updated hourly to ensure data timeliness while effectively reducing system load. Score rankings are used only as a symbol of motivation and a reference for offline competition qualification and have no other purpose.

[0029] 5. Offline race rankings are determined based on the order in which participants actually reach the finish line. Low-cost heavy bikes can compete in offline races alongside high-priced lightweight bikes. Before and after the race, official notaries will verify bicycle weights using measuring equipment. Online bicycle weights must be ≤ actual offline weights, and pre-race bicycle weights must be ≤ actual post-race weights. Failure to meet these requirements will result in disqualification from the offline race and disqualification from the rankings. The time taken to qualify is determined based on the actual bicycle weights, and the departure time advance is calculated using the following formula:

[0030]

[0031] For example, for a 35km flat race, assuming user Li Fei rides an 8kg bicycle at 35km / h on a flat road, examples of the lead time for departure times for vehicles of different weights are shown in the following table:

[0032]

[0033] The constants in the lead value formula (such as 23 and 480) are derived from the 8 kg bicycle's lead time of zero and the speed, score value calculation formula, race length, and time calculation, and are calculated as follows:

[0034]

[0035] Assume that Wang Gang's 8kg bicycle has a speed of 39km / h on a flat road, because the scores of different weights are balanced:

[0036]

[0037] So the speed of Wang Gang’s car models with different weights is:

[0038]

[0039] So the time taken for a 39km race (Wang Gang's 8kg bike runs at 39km / h) using different weight bikes is:

[0040]

[0041] Therefore, the constants 23 and 480 are derived, and the time unit is minutes.

[0042] 6. A learning and communication system is used for users to share cycling experiences based on bicycle weight values, and provides mobile application functions for publishing and viewing articles and short videos. All published content must be reviewed by the administrator to ensure compliance with national laws and regulations.

Claims

1. A method for increasing bicycle usage based on mobile applications to reduce carbon emissions, characterized in that: The following steps are involved: (1) A bicycle weight value selection system, where users select bicycle weight values through a mobile application. The bicycle weight value range is set from 5 to 25 kg (inclusive). Users are only allowed to modify the bicycle weight value in the mobile application once a year; (2) Personal information system, personal information of mobile application users, including selected user name and nationality; (3) The scoring value calculation system calculates the scoring value according to the bicycle weight difference compensation algorithm based on the mileage value and the climbing meter value collected by the mobile application GPS positioning and the selected bicycle weight value: In the formula, 5≤bicycle weight≤25, and online bicycle weight≤offline actual value; (4) Score ranking system: the mobile application generates dynamic rankings of user names, country names, flags, and bar charts based on the scores, which are updated and displayed every hour; (5) Offline race rankings are determined based on the order in which the participants actually arrive at the finish line. The advance departure time of an 8 kg bicycle is set to zero and the speed is calculated using the formula: A negative lead value indicates a delayed start, a positive lead value indicates an early start, the lead value unit is minutes, the race distance unit is kilometers, the speed unit is kilometers per hour, and the pre-race bicycle weight value is ≤ the actual post-race value; (6) Learning and communication system: The mobile application provides a bicycle weight value and riding experience sharing function, and supports the publication of articles and short video content. The published content must be reviewed and comply with national laws and regulations.

2. The method according to claim 1, characterized in that Step (1) The bicycle weight value is in increments of 1 kilogram, and the decimal part is rounded off to the nearest kilogram.

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