User unified management control method for rail transit system

Abstract

The invention discloses a rail transit system user unified management control method, which comprises the following steps: S1, a user carries out registration and identity verification, and the system collects travel data of the registered user; s2, dividing the users into different categories according to the travel data of the users, identifying common passenger users by setting travel frequency and consumption sum threshold values, and establishing special user archives for the common passenger users; s3, designing different point reward rules for different types of users, and calculating customized point discounts for the common passengers according to the travel frequency and consumption records of the common passengers; s4, regularly monitoring and evaluating the implementation effect of the reward mechanism; according to the method, the users are classified into different categories, and the common passenger users are identified, so that the user requirements can be more accurately understood, and more personalized services are provided. Common passenger users can enjoy point discounts customized according to the travel frequency and consumption records, so that the riding experience and satisfaction of the passengers are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of rail transit systems, and in particular to a method for unified management and control of rail transit system users. Background Art

[0002] With the rapid development of information technology, the rail transit industry is gradually moving towards informatization and intelligence. At present, the unified user management and control methods of rail transit systems mainly focus on operational efficiency and safety control. These methods effectively improve the operational efficiency and safety of rail transit systems by means of centralized management of user information, unified allocation of permissions, and real-time monitoring of user behavior. However, in the rail transit system, the user group is large and complex, including multiple roles such as passengers, staff, and maintenance personnel.

[0003] In the prior art, unified user management and control methods focus more on operational efficiency and safety control, but lack personalized services in terms of passenger experience. Due to the different travel frequencies of users, it is difficult for a unified reward mechanism to take all users into account. When a user is a frequent traveler of rail transit, it is difficult to provide customized point discounts based on his travel frequency and consumption records, that is, it is difficult to enhance the user's sense of belonging and satisfaction. Therefore, a unified user management and control method for a rail transit system is proposed. Summary of the invention

[0004] The purpose of the present invention is to solve the problem that the unified user management and control method in the prior art focuses more on operational efficiency and safety control, but lacks personalized services in terms of passenger experience. Due to the different travel frequencies of users, it is difficult for a unified reward mechanism to take all users into account. When a user is a frequent traveler of rail transit, it is difficult to provide customized point discounts based on his travel frequency and consumption records, that is, it is difficult to enhance the user's sense of belonging and satisfaction. A unified management and control method for rail transit system users is proposed to solve the problem.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A unified management and control method for rail transit system users, comprising:

[0007] S1: The user registers and authenticates his / her identity, and the system collects the travel data of the registered user;

[0008] S2: Users are divided into different categories based on their travel data. Frequent travelers are identified by setting travel frequency and spending thresholds, and special user profiles are created for them.

[0009] S3: Design different points reward rules for different categories of users, and calculate customized points discounts for frequent travelers based on their travel frequency and consumption records;

[0010] S4: Regularly monitor and evaluate the implementation effect of the reward mechanism, and timely adjust and optimize the reward strategy based on the evaluation results;

[0011] S5: Collect user feedback and continuously optimize the points discount mechanism based on user feedback and data analysis results.

[0012] The above technical solution further includes:

[0013] Preferably, the user performs registration and identity verification, and the specific steps for the system to collect the travel data of the registered user are:

[0014] User information collection: used to provide basic personal information, such as name, gender, contact information (mobile phone number / email address), etc., and conduct real-name authentication, through identity card, bank card, etc. to ensure the authenticity and legality of user information. Users must agree and sign the electronic service agreement related to the use of the rail transit system, such as privacy protection, data use terms, etc.;

[0015] Account creation and password setting: Users register by providing their mobile phone number and set a unique account name. At the same time, users set a login password. The password must meet certain security standards, such as character length and complexity requirements. When registering, users need to enter the verification code sent by the system to the mobile phone number provided by the user and perform face recognition;

[0016] Data upload and synchronization: After the user completes the registration steps, he / she logs in to the system using his / her account name and password. The system automatically collects the user's travel data through rail transit cards, QR code scanning, electronic tickets, etc., and associates the data with the user's profile.

[0017] Preferably, the specific steps of classifying users into different categories according to their travel data and identifying frequent traveler users by setting travel frequency and consumption amount thresholds are as follows:

[0018] Calculate the travel frequency and consumption amount: According to the user's travel data, the number of trips in a month is counted N, N = the total number of trips of the user in a month, and the consumption amount of the user in a month is counted C. The calculation formula is: Among them, P is the consumption amount of each trip;

[0019] Set classification standards: Based on the operation strategy and market positioning of the rail transit system, the system sets the trip number threshold N threshold and consumption amount threshold C threshold Categorize users;

[0020] User classification: According to the number of trips N and the amount of consumption C, users are divided into the following categories: low-frequency and low-consumption users: N <Nthreshold And C <C threshold , low-frequency high-consumption users: N <N threshold And C ≥ C threshold , high-frequency low-consumption users N≥N threshold And C <C threshold , Frequent flyer users: N≥N threshold And C ≥ C threshold .

[0021] Preferably, the specific steps of designing different points reward rules for different categories of users are:

[0022] Analyze user category characteristics: deeply analyze the travel characteristics, consumption habits and potential needs of each category of users, and set basic points rules for all users. For example, a certain amount of basic points can be obtained for each trip, and the number of points can be fine-tuned according to factors such as travel distance and time;

[0023] Design differentiated points strategies: For low-frequency, low-consumption users, we encourage them to increase their travel frequency and consumption amount through rewards for the number of trips and consumption methods. For low-frequency, high-consumption users, we guide them to increase their travel frequency by designing strategies such as giving extra points when spending a certain amount, doubling travel points during specific periods, and rewarding the number of trips. For high-frequency, low-consumption users, we encourage them to increase their consumption by providing continuous travel points accumulation, points redemption incentives, and consumption rewards. Frequent flyers can enjoy all the above-mentioned points rewards, and at the same time, we calculate customized points discounts based on their travel frequency and consumption records.

[0024] Preferably, the specific process of calculating customized point discounts for frequent travelers based on their travel frequency and consumption records is as follows:

[0025] Set the basic score B used to represent each trip and the weight w of the number of trips n and consumption amount weight w c , used to adjust the calculation of the points discount, reflecting the importance the system places on these two factors;

[0026] According to the number of trips N of frequent travelers, calculate their trip frequency score S n , the specific calculation formula is: S n =N×B×w n , calculate the consumption amount points S based on the consumption amount C of the frequent traveler user c , the specific calculation formula is: S c =C×integral rate×w c , where the point rate is a proportional coefficient, indicating the number of points corresponding to each unit of consumption amount. This coefficient can be adjusted according to the system strategy;

[0027] Add the travel times points and consumption amount points to get the total points S of the frequent traveler user. total , the specific calculation formula is: S total =S n +S c , and then calculate the points discount rate D based on the total points. The specific calculation formula is: D = f(S total ), where f is a monotonically increasing function, ensuring that the more points you have, the higher the discount rate;

[0028] The calculated points discount rate D is applied to the frequent flyer users' subsequent consumption and corresponding discounts are given.

[0029] Preferably, the specific steps of regularly monitoring and evaluating the implementation effect of the reward mechanism are:

[0030] Regularly collect users’ travel data, consumption data, and points usage, conduct comprehensive data analysis, and evaluate the effectiveness of the reward mechanism;

[0031] Identify key indicators to be monitored, such as user engagement, points utilization, frequent flyer loyalty, consumption growth, etc.

[0032] Compare actual data during the monitoring period with expected targets or historical data to analyze the impact of the reward mechanism on user behavior.

[0033] Preferably, the specific steps of timely adjusting and optimizing the reward strategy according to the evaluation results are:

[0034] Based on the analysis results, identify the problems and deficiencies in the current reward mechanism;

[0035] Clearly define the goals of adjusting the reward strategy, such as increasing user activity, increasing point utilization, and improving user satisfaction;

[0036] Design specific adjustment plans based on the identified problems. For example, if the points reward rules are unreasonable, redesign the rules for points acquisition and redemption; if the points discount is not strong enough, adjust the discount ratio or add discount items; if user feedback is not good, strengthen user interaction and increase user participation;

[0037] Communicate the adjustment plan with relevant departments and teams to ensure that everyone understands and supports the adjustment plan, and update the user management module of the rail transit system based on the adjustment plan to ensure that the new reward strategy can be implemented smoothly;

[0038] After implementing the adjustment plan, continue to monitor changes in key indicators. After one quarter of adjustment, evaluate the effectiveness of the adjusted reward strategy and compare and analyze it with the data before adjustment. Continuously adjust and optimize the reward strategy based on the evaluation results to form a virtuous cycle of continuous improvement.

[0039] Preferably, the specific method of collecting user feedback includes:

[0040] Questionnaire survey: Send questionnaires to users regularly, such as via email, App push or SMS, to understand their satisfaction with the current points reward mechanism, their usage and suggestions for improvement;

[0041] In-app feedback channel: set up a feedback portal in the rail transit app for users to submit opinions or complaints about the reward mechanism;

[0042] User behavior data analysis: Analyze user usage data through the system background, such as points acquisition, consumption patterns, etc., to understand users' potential needs and satisfaction;

[0043] Customer service record analysis: Regularly analyze customer service records and user complaints to identify problems and dissatisfaction that users may encounter when using the points reward mechanism.

[0044] The present invention has the following beneficial effects:

[0045] 1. In the present invention, by classifying users into different categories and identifying frequent flyer users, the method can more accurately understand user needs and thus provide more personalized services. Frequent flyer users can enjoy customized point discounts based on their travel frequency and consumption records, which greatly improves their riding experience and satisfaction.

[0046] 2. In the present invention, the customized points discount is not only a recognition of user loyalty, but also an effective incentive. Frequent travelers can feel the importance and care of the rail transit system while enjoying exclusive discounts, thus enhancing their sense of belonging and loyalty to the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a system architecture diagram of a rail transit system user unified management and control method proposed by the present invention. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] like Figure 1 As shown, a unified management and control method for rail transit system users includes:

[0050] S1: The user registers and authenticates his / her identity, and the system collects the travel data of the registered user;

[0051] S2: Users are divided into different categories based on their travel data. Frequent travelers are identified by setting travel frequency and spending thresholds, and special user profiles are created for them.

[0052] S3: Design different points reward rules for different categories of users, and calculate customized points discounts for frequent travelers based on their travel frequency and consumption records;

[0053] S4: Regularly monitor and evaluate the implementation effect of the reward mechanism, and timely adjust and optimize the reward strategy based on the evaluation results;

[0054] S5: Collect user feedback and continuously optimize the points discount mechanism based on user feedback and data analysis results.

[0055] In one embodiment, the user performs registration and identity verification, and the specific steps for the system to collect the registered user's travel data are:

[0056] User information collection: used to provide basic personal information and conduct real-name authentication. Users must agree and sign the electronic service agreement related to the use of the rail transit system;

[0057] Account creation and password setting: Users register by providing their mobile phone number and set a unique account name. At the same time, users set a login password. When registering, users need to enter the verification code sent by the system to the mobile phone number provided by the user and perform face recognition;

[0058] Data upload and synchronization: After the user completes the registration steps and logs in to the system using his / her account name and password, the system automatically collects the user's travel data and associates it with the user profile.

[0059] In the embodiment of the present invention, during the registration process, the user performs face recognition. The system performs identity authentication by comparing the real-time photos taken by the user's camera with the photos stored in the database. The face recognition data will be encrypted to ensure that the user's privacy is protected. The user's travel data is associated with his unique account identifier to form a complete user travel profile. For example, the system creates a profile for each user containing historical travel records, consumption, points and other data for subsequent data analysis and service optimization. All travel data of the user will be uploaded to the background server through a timed synchronization mechanism to ensure real-time updates.

[0060] In one embodiment, users are divided into different categories according to their travel data, and the specific steps for identifying frequent travellers are as follows by setting travel frequency and consumption amount thresholds:

[0061] Calculate the travel frequency and consumption amount: According to the user's travel data, the number of trips in a month is counted N, N = the total number of trips of the user in a month, and the consumption amount of the user in a month is counted C. The calculation formula is: Among them, P is the consumption amount of each trip;

[0062] Set classification standards: Based on the operation strategy and market positioning of the rail transit system, the system sets the trip number threshold N threshold and consumption amount threshold C threshold Categorize users;

[0063] User classification: According to the number of trips N and the amount of consumption C, users are divided into the following categories: low-frequency and low-consumption users: N <N threshold And C <C threshold , low-frequency high-consumption users: N <N threshold And C ≥ C threshold , high-frequency low-consumption users N≥N threshold And C <C threshold , Frequent flyer users: N≥N threshold And C ≥ C threshold .

[0064] In the embodiment of the present invention, it is assumed that N threshold If the number of trips in a month is less than 10, the user is classified as a low-frequency user; if the number of trips in a month is greater than or equal to 10, the user is classified as a high-frequency user. threshold If the user's monthly consumption is less than 500 yuan, he is a low-spending user; if it is greater than or equal to 500 yuan, he is a high-spending user. Assuming that the user travels 12 times N in a month and the consumption amount C is 600 yuan, according to the above classification rules, the user's travel frequency and consumption amount are both higher than the threshold, so he is classified as a frequent traveler.

[0065] In one embodiment, the specific steps of designing different points reward rules for different categories of users are:

[0066] Analyze user category characteristics: deeply analyze the travel characteristics, consumption habits and potential needs of each category of users, and set basic points rules for all users;

[0067] Design a differentiated points strategy: For low-frequency, low-consumption users, encourage them to increase their travel frequency and consumption amount; for low-frequency, high-consumption users, guide them to increase their travel frequency; for high-frequency, low-consumption users, encourage them to increase consumption; for frequent flyers, enjoy all the above-mentioned points rewards, and calculate customized points discounts based on their travel frequency and consumption records.

[0068] In the embodiment of the present invention, a travel reward and a consumption reward are given to low-frequency and low-consumption users. The travel reward is that if the user's travel times in a month exceed N threshold , then extra points are obtained, and the specific calculation is expressed as: S1=max(0,NN threshold )×10, where S1 is the extra points obtained by the user, N is the number of trips of the user, and N threshold is the travel frequency threshold of low-frequency users. If the user's consumption amount in a month exceeds the threshold C threshold , then the extra points can be obtained as follows: S1=max(0,CC threshold )×5, where C is the amount of money the user spends, C threshold It is the consumption amount threshold for low-consumption users. For low-frequency high-consumption users, we will give extra points when the amount is full, double the points for travel in a specific period, and reward the number of trips. Extra points for full amount means that when the user's monthly consumption amount exceeds the specified consumption amount threshold, extra points will be awarded, that is, S1 = C × 0.05, where the reward is 5% of the consumption amount. Double the points for travel in a specific period means that if the user travels in a specific period (such as non-peak period), the points will be doubled, that is, S1 = B × 2, where B is the basic points for the user's travel. If the user travels in a specific period, the points reward will be doubled. For high-frequency, low-consumption users, continuous travel points accumulation, point redemption incentives, and consumption reward strategies are implemented. Continuous travel points accumulation means that when users travel continuously, the points obtained from each trip can be gradually accumulated, which encourages them to increase their travel frequency, that is, S1=B×[1+(n-1)×0.05], where n is the number of consecutive trips of the user. Point redemption incentives mean using points to redeem coupons, discounts, etc., to encourage the user to increase the amount of consumption. The consumption reward strategy means that when the monthly consumption amount reaches certain conditions, the user can obtain additional consumption rewards.

[0069] In one embodiment, the specific process of calculating customized point discounts for frequent travelers based on their travel frequency and consumption records is as follows:

[0070] Set the basic score B used to represent each trip and the weight w of the number of trips n and consumption amount weight w c ;

[0071] According to the number of trips N of frequent travelers, calculate their trip frequency score S n , the specific calculation formula is: S n =N×B×w n , calculate the consumption amount points S based on the consumption amount C of the frequent traveler user c , the specific calculation formula is: S c =C×integral rate×wc , where the integral rate is the proportionality coefficient;

[0072] Add the travel times points and consumption amount points to get the total points S of the frequent traveler user. total , the specific calculation formula is: S total =S n +S c , and then calculate the points discount rate D based on the total points. The specific calculation formula is: D = f(S total ), where f is a monotonically increasing function;

[0073] The calculated points discount rate D is applied to the frequent flyer users' subsequent consumption.

[0074] In the embodiment of the present invention, it is assumed that there is a frequent traveler, whose number of trips is N=15, the basic points for each trip is B=50, the consumption amount is C=1000, the proportional coefficient k=0.1, and the weight of the number of trips is w n =0.6, consumption amount weight w c =0.4, the monotonically increasing function is expressed as: Among them, S max is the maximum value of frequent flyer points, assuming it is 1000, then: The number of trips points is: S n =15×50×0.6=450, the consumption amount points are: S c =1000×0.1×0.4=40, the total score is S total =450+40=490, the points discount rate is: Assume that the amount of consumption of the frequent traveler in the next consumption is C new =200, then the actual payment amount is C actual =200×(1-0.49)=102, that is, the frequent traveler will get a 49% discount on this consumption and actually pay 102 yuan.

[0075] In one embodiment, the specific steps for regularly monitoring and evaluating the implementation effect of the reward mechanism are:

[0076] Regularly collect users’ travel data, consumption data, and points usage, conduct comprehensive data analysis, and evaluate the effectiveness of the reward mechanism;

[0077] Identify key indicators for monitoring;

[0078] Compare actual data during the monitoring period with expected targets or historical data to analyze the impact of the reward mechanism on user behavior.

[0079] In the embodiment of the present invention, the travel data of users collected regularly include the number of trips of users, the types of trips (such as flights, hotels, car rentals, etc.), the time distribution of trips and the amount of consumption, etc. The consumption data include the amount of each consumption of users, the consumption category (such as air tickets, hotels, restaurants, etc.), the purchase frequency, the consumption channel, etc. The point usage includes the user's point accumulation, the use of points, the discount rate when used, the proportion of unused points, etc. Key indicators include user activity, point usage rate, user loyalty, user conversion rate and average point balance, etc.

[0080] In one embodiment, the specific steps for timely adjusting and optimizing the reward strategy according to the evaluation results are:

[0081] Based on the analysis results, identify the problems and deficiencies in the current reward mechanism;

[0082] Clarify the goals of adjusting the reward strategy;

[0083] Design specific adjustment plans based on the identified problems;

[0084] Communicate adjustment plans with relevant departments and teams;

[0085] After implementing the adjustment plan, continue to monitor changes in key indicators. After one quarter of adjustment, conduct an effectiveness evaluation of the adjusted reward strategy, and continuously adjust and optimize the reward strategy based on the evaluation results.

[0086] In one embodiment, the specific method of collecting user feedback includes:

[0087] Questionnaire survey: regularly distribute questionnaires to understand users’ satisfaction, usage and improvement suggestions on the current points reward mechanism;

[0088] In-app feedback channel: set up a feedback portal in the rail transit app for users to submit opinions or complaints about the reward mechanism;

[0089] User behavior data analysis: Analyze user usage data through the system background to understand users' potential needs and satisfaction;

[0090] Customer service record analysis: Regularly analyze customer service records and user complaints to identify problems and dissatisfaction that users may encounter when using the points reward mechanism.

[0091] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for unified management and control of rail transit system users, characterized in that: include: S1: The user registers and authenticates his / her identity, and the system collects the travel data of the registered user; S2: Users are divided into different categories based on their travel data. Frequent travelers are identified by setting travel frequency and spending thresholds, and special user profiles are created for them. S3: Design different points reward rules for different categories of users, and calculate customized points discounts for frequent travelers based on their travel frequency and consumption records; S4: Regularly monitor and evaluate the implementation effect of the reward mechanism, and timely adjust and optimize the reward strategy based on the evaluation results; S5: Collect user feedback and continuously optimize the points discount mechanism based on user feedback and data analysis results.

2. A method for unified management and control of rail transit system users according to claim 1, characterized in that: The specific steps for the user to register and authenticate his / her identity and for the system to collect the travel data of the registered user are as follows: User information collection: used to provide basic personal information and conduct real-name authentication. Users must agree and sign the electronic service agreement related to the use of the rail transit system; Account creation and password setting: Users register by providing their mobile phone number and set a unique account name. At the same time, users set a login password. When registering, users need to enter the verification code sent by the system to the mobile phone number provided by the user and perform face recognition; Data upload and synchronization: After the user completes the registration process, he / she logs in to the system using his / her account name and password. The system automatically collects the user's travel data and associates it with the user profile.

3. A method for unified management and control of rail transit system users according to claim 1, characterized in that: The specific steps of classifying users into different categories based on their travel data and identifying frequent travellers by setting travel frequency and consumption amount thresholds are as follows: Calculate the travel frequency and consumption amount: According to the user's travel data, the number of trips in a month is counted N, N = the total number of trips of the user in a month, and the consumption amount of the user in a month is counted C. The calculation formula is: Among them, P is the consumption amount of each trip; Set classification standards: Based on the operation strategy and market positioning of the rail transit system, the system sets the trip number threshold N threshold and consumption amount threshold C threshold Categorize users; User classification: According to the number of trips N and the amount of consumption C, users are divided into the following categories: low-frequency and low-consumption users: N <N threshold And C <C threshold , low-frequency high-consumption users: N <N threshold And C ≥ C threshold , high-frequency low-consumption users N≥N threshold And C <C threshold , Frequent flyer users: N≥N threshold And C ≥ C threshold .

4. A method for unified management and control of rail transit system users according to claim 1, characterized in that: The specific steps of designing different points reward rules for different categories of users are: Analyze user category characteristics: deeply analyze the travel characteristics, consumption habits and potential needs of each category of users, and set basic points rules for all users; Design a differentiated points strategy: For low-frequency, low-consumption users, encourage them to increase their travel frequency and consumption amount; for low-frequency, high-consumption users, guide them to increase their travel frequency; for high-frequency, low-consumption users, encourage them to increase consumption; for frequent flyers, enjoy all the above-mentioned points rewards, and calculate customized points discounts based on their travel frequency and consumption records.

5. A method for unified management and control of rail transit system users according to claim 1, characterized in that: The specific process of calculating customized point discounts for frequent travelers based on their travel frequency and consumption records is as follows: Set the basic score B used to represent each trip and the weight w of the number of trips n and consumption amount weight w c ; According to the number of trips N of frequent travelers, calculate their trip frequency score S n , the specific calculation formula is: S n =N×B×w n , calculate the consumption amount points S based on the consumption amount C of the frequent traveler user c , the specific calculation formula is: S c =C×integral rate×w c , where the integral rate is the proportionality coefficient; Add the travel times points and consumption amount points to get the total points S of the frequent traveler user. total , the specific calculation formula is: S total =S n +S c , and then calculate the points discount rate D based on the total points. The specific calculation formula is: D = f(S total ), where f is a monotonically increasing function; The calculated points discount rate D is applied to the frequent flyer users' subsequent consumption.

6. A method for unified management and control of rail transit system users according to claim 1, characterized in that: The specific steps for regularly monitoring and evaluating the implementation effect of the reward mechanism are: Regularly collect users’ travel data, consumption data, and points usage, conduct comprehensive data analysis, and evaluate the effectiveness of the reward mechanism; Identify key indicators for monitoring; Compare actual data during the monitoring period with expected targets or historical data to analyze the impact of the reward mechanism on user behavior.

7. A method for unified management and control of rail transit system users according to claim 1, characterized in that: The specific steps for timely adjusting and optimizing the reward strategy based on the evaluation results are as follows: Based on the analysis results, identify the problems and deficiencies in the current reward mechanism; Clarify the goals of adjusting the reward strategy; Design specific adjustment plans based on the identified problems; Communicate adjustment plans with relevant departments and teams; After implementing the adjustment plan, continue to monitor changes in key indicators. After one quarter of adjustment, conduct an effectiveness evaluation of the adjusted reward strategy, and continuously adjust and optimize the reward strategy based on the evaluation results.

8. A method for unified management and control of rail transit system users according to claim 1, characterized in that: The specific methods for collecting user feedback include: Questionnaire survey: regularly distribute questionnaires to understand users’ satisfaction, usage and improvement suggestions on the current points reward mechanism; In-app feedback channel: set up a feedback portal in the rail transit app for users to submit opinions or complaints about the reward mechanism; User behavior data analysis: Analyze user usage data through the system background to understand users' potential needs and satisfaction; Customer service record analysis: Regularly analyze customer service records and user complaints to identify problems and dissatisfaction that users may encounter when using the points reward mechanism.

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