A User Distancing Strategy and Operation Method for Shared Bicycles in the Context of the Pandemic

Abstract

The present invention discloses a user distancing strategy and operation method for shared bicycles under the background of the epidemic. First, the shared bicycle travel data is calculated to obtain the idle parking time of the vehicle, and the vehicle safety status is identified based on the idle parking time of the vehicle and the recommended user distancing interval. Secondly, whether the vehicle is safe and available is judged according to the user's travel request time. If the vehicle is not available, it is refused to be unlocked, and a nearby safe vehicle is recommended. Finally, virtual sites are divided according to the city, and the number of rejected requests at the virtual site within a certain period of time is calculated. If the number of rejected requests at a certain virtual site is greater than or equal to the scheduling threshold, the vehicles at the virtual site are scheduled and managed accordingly. The present invention can objectively ensure user distancing during the use of shared bicycle vehicles, that is, ensure that the use interval between the front and rear users of the same vehicle is kept above the recommended user distancing interval, effectively avoiding close contact between users.

Description

Technical Field

[0001] The present invention relates to a user distancing strategy and operation method for shared bicycles under the background of an epidemic, and belongs to the technical field of urban shared bicycle operation and management. Background Art

[0002] Against the backdrop of the global COVID-19 pandemic, epidemic prevention and control has become normalized, and the level of prevention and control of public transportation and shared transportation has been continuously improved. Subways and buses and other modes of transportation have adopted management methods such as temperature checks, health codes, and itinerary codes, as well as requiring passengers to strictly wear masks to strengthen health management. Shared bicycles include shared bicycles and public bicycles. This service does not have the risk of air transmission in closed spaces of traditional public transportation (subways and buses), but shared transportation still has the risk of transmission on the surface of objects that users touch in vehicles. If shared transportation vehicles are used continuously without disinfection measures, the possibility of virus transmission will be greatly increased. At the same time, due to the large user base, the lag in the supervision of shared transportation vehicles makes it difficult to clean and disinfect shared transportation vehicles in a timely and effective manner.

[0003] Therefore, how to ensure the effective interval between the front and rear riders, provide enough time for vehicle disinfection, and ensure that each vehicle can safely meet people's usage needs has become a key issue in the operation and management of shared transportation under the background of the epidemic. Maintaining social distance is to reduce the contact between infected and non-infected people, so as to reduce the transmission route and morbidity of the disease. This policy has been listed as an effective control measure for the new crown epidemic by the World Health Organization, but it has not yet been applied in the shared bicycle industry. Therefore, focusing on the background of the new crown epidemic, it is necessary to propose low-cost and sustainable methods and measures for the shared bicycle industry to respond to the epidemic. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a user alienation strategy and operation method for shared bicycles under the epidemic background, so as to reduce the risk of epidemic transmission caused by the movement of shared bicycles under the epidemic background.

[0005] The present invention adopts the following technical solutions to solve the above technical problems:

[0006] A user distancing strategy and operation method for shared bicycles under the epidemic background includes the following steps:

[0007] Step 1, obtain all usage record data of each shared bicycle before the user requests unlocking time, and extract data of the three fields of vehicle number, user number and arrival time in the last usage record of each shared bicycle;

[0008] Step 2, obtaining user request data, calculating the parking idle time of the shared bicycle according to the user's request unlocking time and the arrival time in the last use record of the shared bicycle that the user requested unlocking, and judging whether the shared bicycle is in a safe state or a risky state when the user requests unlocking according to the parking idle time and the preset user alienation recommended interval; at the same time, marking the state of the shared bicycle;

[0009] Step 3: If the shared bicycle is in a safe state when the user requests to unlock it, the user agrees to unlock it for riding; if it is in a risky state, the user is refused to unlock it and is recommended to ride a nearby shared bicycle in a safe state. The judgment standard for the nearby shared bicycle in a safe state is the walking distance. The distances from all shared bicycles in a safe state to the user's location are calculated. If the distance from a shared bicycle to the user's location is less than the walking distance, it is judged to be a nearby shared bicycle in a safe state. If it is greater than the walking distance, the shared bicycle is unavailable. If the distances from all shared bicycles in a safe state to the user's location are greater than the walking distance, the user's request to use the bicycle is rejected.

[0010] Step 4: Divide the entire city into a certain number of virtual sites, and calculate the number of rejected user use requests at each virtual site within a certain period of time; if the number of rejected user use requests at a certain virtual site is greater than or equal to the scheduling threshold, arrange operators to go to the virtual site to respond, otherwise maintain the current operation status; if the number of shared bicycles in a risky state at a certain virtual site is greater than or equal to the number of rejected user use requests, arrange operators to go to the virtual site to disinfect the shared bicycles in a risky state to meet the usage needs; if the number of shared bicycles in a risky state at a certain virtual site is less than the number of rejected user use requests, arrange operators to go to the virtual site to supplement the shared bicycles in a safe state and disinfect the shared bicycles in a risky state.

[0011] As a preferred solution of the present invention, in step 1, the usage record data of each shared bicycle includes data in the following six fields: vehicle number, user number, starting location, departure time, end location and arrival time.

[0012] As a preferred solution of the present invention, in step 2, the user request data includes data in four fields: user number, user location, unlocking request time, and vehicle number for unlocking request.

[0013] As a preferred solution of the present invention, in step 2, it is determined whether the shared bicycle is in a safe state or a risky state when the user requests to unlock the bicycle according to the parking idle time and the preset user alienation recommended interval, as follows:

[0014] If the parking idle time is longer than the pre-set recommended user distance interval, the shared bicycle is judged to be in a safe state when the user requests to unlock it; if the parking idle time is less than or equal to the pre-set recommended user distance interval, the shared bicycle is judged to be in a risky state when the user requests to unlock it.

[0015] As a preferred solution of the present invention, the user alienation recommendation interval ranges from 10 minutes to 24 hours.

[0016] As a preferred solution of the present invention, in step 3, the walking distance ranges from 50 meters to 1 kilometer.

[0017] As a preferred solution of the present invention, the method for dividing the virtual sites in step 4 is as follows:

[0018] The density-based spatial clustering algorithm DBSCAN is used to divide the virtual sites. First, a shared bicycle use starting point is arbitrarily selected, and all shared bicycle use starting points whose distance from the above use starting point is less than or equal to the first threshold eps are found, and the number of all shared bicycle use starting points whose distance from the above use starting point is less than or equal to the first threshold eps is counted; if the number of all shared bicycle use starting points whose distance from the above use starting point is less than or equal to the first threshold eps is less than the second threshold min_samples, the above use starting point is marked as a noise point, otherwise the above use starting point is marked as a core sample and a new cluster label is assigned; then all neighbors of the above use starting point are visited, that is, all shared bicycle use starting points whose distance from the above use starting point is less than or equal to the first threshold eps. If a neighbor is not assigned a cluster label, the cluster label of the above use starting point is assigned to the neighbor. If a neighbor is a core sample, the neighbor of the neighbor is visited, and so on, until there is no core sample within the first threshold eps distance from the above use starting point; at this time, the cluster core is the virtual site, and the envelope formed by the use starting points contained in the cluster is the service range of the virtual site;

[0019] Another usage starting point that has not been visited is selected and the same process as above is repeated to obtain all virtual sites.

[0020] Compared with the prior art, the present invention adopts the above technical solution and has the following technical effects:

[0021] 1. The method of the present invention enables potential users of each bicycle to be informed of the end time of use by the previous user, and determines the user's usage behavior accordingly. If the parking time of the bicycle to be used is shorter than the recommended interval for user distancing, the user will be informed that the bicycle cannot be used and will be encouraged to ride another idle bicycle with sufficient parking time. If the bicycle is parked in an area with high demand and requires efficient turnover, operators should be arranged to patrol the area to ensure timely disinfection. The epidemic has led to a relative surplus of vehicle supply and operating resources, which in turn has increased the feasibility of user distancing strategies. User distancing strategies can reduce the workload of bicycle disinfection, reduce operating costs, and effectively improve the turnover efficiency of idle bicycles.

[0022] 2. Unlike the conventional shared bicycle industry that adopts costly disinfection measures to control the epidemic, the present invention applies the policy of maintaining social distance to shared bicycles, so it can effectively reduce the disinfection workload of shared bicycles, reduce operating costs, and improve the turnover efficiency of idle vehicles, thereby achieving low-cost and sustainable shared bicycle epidemic response. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a flow chart of a user distancing strategy and operation method for shared bicycles under the epidemic background of the present invention;

[0024] Figure 2 It is a schematic diagram of the division of urban virtual sites according to an embodiment of the present invention. DETAILED DESCRIPTION

[0025] The embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be interpreted as limiting the present invention.

[0026] This paper combines the two policies of maintaining social distance (Social Distancing) and user information sharing, and proposes a new epidemic response strategy for shared transportation - user distancing. The user distancing proposed in this paper for shared bicycles is to ensure that the interval between the front and rear users of the same bicycle should be kept above the recommended interval for user distancing to avoid close contact between users.

[0027] The present invention divides the shared bicycle analysis area, uses the enterprise's operational data to extract the spatiotemporal positioning data of the vehicle, determines the safety status of the vehicle in each area based on the recommended interval of user alienation, and determines whether the vehicle can be used based on the vehicle safety status. Finally, based on the number of rejected requests and the number of safe vehicles in the area, it determines whether the area needs bicycle dispatch, providing a scientific and effective method for the operation dispatch of shared bicycles during the epidemic.

[0028] like Figure 1 As shown, it is a flow chart of the user distancing strategy and operation method of shared bicycles based on the epidemic background of the present invention, and the specific steps are as follows:

[0029] (1) Input all usage record data before the research time, the data fields include vehicle number, user number, starting point location, departure time, end point location, and arrival time. Then extract the vehicle number, user number, and arrival time fields from the last usage record.

[0030] (2) Calculate the idle time of the vehicle based on the vehicle research time and the vehicle arrival time, and compare the parking time with the user's recommended distance interval. If the parking time is greater than the user's recommended distance interval, it is identified as a safe state, and if the parking time is less than or equal to the user's recommended distance interval, it is identified as a risky state. The vehicle status is marked in the mobile phone APP for user reference. Then enter the user request data, including four fields: user number, user location, requested unlocking time, and vehicle number requested to unlock.

[0031] The recommended interval for user distancing can be from 10 minutes to 24 hours, and the specific situation depends on the actual epidemic prevention and control requirements and the actual vehicle dispatch requirements.

[0032] (3) Determine the safety status of the vehicle based on the usage request. If it is in a safe state, agree to unlock it for the user to ride. If it is in a risky state, refuse to unlock it, and recommend the user to ride a nearby safe vehicle instead. The standard for nearby vehicles is the walking distance, which can range from 50 meters to 1 kilometer. The distance from all safe vehicles to the user's location needs to be calculated. If the distance of a vehicle is less than the walking distance, it is judged as a nearby vehicle. Otherwise, the vehicle is unavailable. If the distance of all safe vehicles to the user's location is greater than the walking distance, the user's usage request is rejected and the specific reason is explained to the user.

[0033] (4) The entire city is divided into a certain number of virtual sites. The number of rejected requests for each virtual site within a certain period of time is calculated. If the number of rejected requests for a certain virtual site is greater than or equal to the scheduling threshold, the operator is arranged to respond. If the number of risky vehicles at the virtual site is greater than or equal to the number of rejected requests, the operator will go to disinfect the vehicles to meet the usage needs; if the number of risky vehicles at the virtual site / grid is less than the number of rejected requests, the operator will drive a truck to carry the missing safe vehicles, go to the location to unload the safe vehicles, and then disinfect the risky vehicles.

[0034] The specific steps of (4) include:

[0035] 4.1 Divide the city into a certain number of virtual sites

[0036] The virtual site division method is as follows: using DBSCAN density-based spatial clustering algorithm, first randomly select a shared bicycle use starting point, and then find all shared bicycle use starting points with a distance less than or equal to eps to this point. If the number of data points within the distance eps from the starting point is less than min_samples, then this point is marked as noise. If the number of data points within the distance eps is greater than min_samples, then this point is marked as a core sample and assigned a new cluster label. Then visit all neighbors of the point (within the distance eps). If they have not been assigned a cluster, assign the new cluster label just created to them. If they are core samples, then visit their neighbors in turn, and so on. The cluster gradually increases until there are no more core samples within the eps distance of the cluster. Select another point that has not been visited and repeat the same process; at this time, the cluster core is the virtual site, and the envelope formed by the samples contained in each cluster is the service range of the virtual site.

[0037] 4.2 Calculate the number of rejected requests per virtual site / grid

[0038] Count the number of rejected requests in the virtual station, and count the number of safe vehicles and risky vehicles in the virtual station separately, to provide a basis for subsequent single-vehicle dispatch.

[0039] 4.3 Bicycle Dispatch

[0040] If the number of risky vehicles in the virtual station during the scheduling time is greater than or equal to the number of rejected use requests, it means that due to the short interval between continuous use of vehicles in the virtual station, there are a large number of vehicles in a risky state, which cannot meet the demand for single-vehicle use in the current area. Operators are required to disinfect the vehicles and increase the number of safe vehicles to meet the usage demand.

[0041] If the number of risky vehicles in the virtual station during the dispatch time is less than the number of rejected requests, it means that there are currently few vehicles within the walking distance of passengers and the distribution of safe vehicles is unreasonable. Operators are required to drive trucks to carry the missing safe vehicles to the location to replenish the safe vehicles and disinfect the remaining dangerous vehicles at the location.

[0042] The dispatch time is 15min-4h. Dispatching shared bicycles by dividing the dispatch time belongs to the dynamic dispatching problem of shared bicycles. The real-time dispatching strategy of shared bicycles within the dispatching time is implemented according to the available safe vehicles through the dispatch time division.

[0043] The technical solution of the present invention is further described below in conjunction with embodiments.

[0044] 1. Input all bicycle usage data and obtain the last usage data of the bicycle. The case study object is a shared bicycle with a total of two bicycles. The last usage record data obtained is shown in Table 1.

[0045] Table 1 Case order data

[0046]

[0047] 2. Calculate the idle time of vehicles at the study time and arrival time, and compare it with the recommended interval for user alienation.

[0048] For this case, the recommended interval for user alienation is taken as 30 minutes, and the start time of the study is 2021 / 8 / 30 18:35:00. The difference between the vehicle return time and the study time is calculated and compared with the recommended interval for user alienation, as shown in Table 2.

[0049] Table 2 Vehicle status judgment

[0050]

[0051] The bicycle status identified in the above table is marked in the mobile phone APP for users to view.

[0052] Then, the user use request data is input including four fields: user number, user location, unlocking request time, and vehicle number for unlocking request, as shown in Table 3.

[0053] Table 3 User usage request data

[0054]

[0055] 3. Determine whether the current vehicle is available based on the user's usage request data. If the vehicle is in a safe state, unlock it. If the vehicle is in a risky state, keep it locked and recommend available vehicles near the user. If there are no available vehicles nearby, reject the usage request.

[0056] Table 4 Vehicle availability status judgment

[0057]

[0058] 4. Divide the virtual stations and count the number of rejected requests in the stations. According to the number of rejected requests and the number of vehicles in safe status, a single vehicle dispatch plan is given.

[0059] 4.1 According to the actual situation of the area near Nanjing Xinjiekou-Daxinggong, the shared bicycle virtual stations are divided into two stations, with station IDs 1 (representing the Xinjiekou area) and 2 (representing the Daxinggong area). Figure 2As shown in the figure, the research period is one day (August 30, 2021). That is, the Xinjiekou virtual site and the Daxinggong virtual site. This case mainly studies the Xinjiekou virtual site.

[0060] 4.2. Calculate the number of rejected requests in each virtual station during the scheduling time. Statistics show that the number of rejected requests in the Xinjiekou virtual station during the scheduling time is 1, the number of risky vehicles is 1, and the number of safe vehicles is 1.

[0061] 4.3. Since the number of risky vehicles at the Xinjiekou virtual station during the scheduling time is greater than or equal to the number of rejected requests, it means that due to the short interval between continuous use of vehicles at the Xinjiekou station, there are a large number of vehicles in a risky state, which cannot meet the demand for single-vehicle use in the current area. Operators are required to disinfect the vehicles and increase the number of safe vehicles to meet the usage demand.

[0062] The above embodiments are only for illustrating the technical idea of ​​the present invention, and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the present invention.

Claims

1. A user distancing strategy and operation method for shared bicycles under the epidemic situation, characterized in that: The following steps are involved: Step 1, obtain all usage record data of each shared bicycle before the user requests unlocking time, and extract data of the three fields of vehicle number, user number and arrival time in the last usage record of each shared bicycle; Step 2, obtaining user request data, calculating the parking idle time of the shared bicycle according to the user's request unlocking time and the arrival time in the last use record of the shared bicycle that the user requested unlocking, and judging whether the shared bicycle is in a safe state or a risky state when the user requests unlocking according to the parking idle time and the preset user alienation recommended interval; at the same time, marking the state of the shared bicycle; Step 3: If the shared bicycle is in a safe state when the user requests to unlock it, the user agrees to unlock it for riding; if it is in a risky state, the user is refused to unlock it and is recommended to ride a nearby shared bicycle in a safe state. The judgment standard for a nearby shared bicycle in a safe state is the walking distance. The distances from all shared bicycles in a safe state to the user's location are calculated. If the distance from a shared bicycle to the user's location is less than the walking distance, it is judged to be a nearby shared bicycle in a safe state. If it is greater than the walking distance, the shared bicycle is unavailable. If the distance from all shared bicycles in a safe state to the user's location is greater than the walking distance, the user's request to use the bicycle will be rejected; Step 4: Divide the entire city into a certain number of virtual sites, and calculate the number of rejected user use requests at each virtual site within a certain period of time; if the number of rejected user use requests at a certain virtual site is greater than or equal to the scheduling threshold, arrange operators to go to the virtual site to respond, otherwise maintain the current operation status; if the number of shared bicycles in a risky state at a certain virtual site is greater than or equal to the number of rejected user use requests, arrange operators to go to the virtual site to disinfect the shared bicycles in a risky state to meet the usage needs; if the number of shared bicycles in a risky state at a certain virtual site is less than the number of rejected user use requests, arrange operators to go to the virtual site to supplement the shared bicycles in a safe state and disinfect the shared bicycles in a risky state; The virtual site division method is as follows: The density-based spatial clustering algorithm DBSCAN is used to divide the virtual sites. First, a shared bicycle use starting point is arbitrarily selected, and all shared bicycle use starting points whose distance from the above use starting point is less than or equal to the first threshold eps are found, and the number of all shared bicycle use starting points whose distance from the above use starting point is less than or equal to the first threshold eps is counted; if the number of all shared bicycle use starting points whose distance from the above use starting point is less than or equal to the first threshold eps is less than the second threshold min_samples, the above use starting point is marked as a noise point, otherwise the above use starting point is marked as a core sample and a new cluster label is assigned; then all neighbors of the above use starting point are visited, that is, all shared bicycle use starting points whose distance from the above use starting point is less than or equal to the first threshold eps. If a neighbor is not assigned a cluster label, the cluster label of the above use starting point is assigned to the neighbor. If a neighbor is a core sample, the neighbor of the neighbor is visited, and so on, until there is no core sample within the first threshold eps distance from the above use starting point; at this time, the cluster core is the virtual site, and the envelope formed by the use starting points contained in the cluster is the service range of the virtual site; Another usage starting point that has not been visited is selected and the same process as above is repeated to obtain all virtual sites.

2. The user distancing strategy and operation method for shared bicycles under the epidemic situation according to claim 1 is characterized in that: In step 1, the usage record data of each shared bicycle includes data in the following six fields: vehicle number, user number, starting location, departure time, end location and arrival time.

3. The user distancing strategy and operation method for shared bicycles under the epidemic situation according to claim 1 is characterized in that: In step 2, the user request data includes data in four fields: user number, user location, unlocking request time, and vehicle number for unlocking request.

4. The user distancing strategy and operation method for shared bicycles under the epidemic situation according to claim 1 is characterized in that: In step 2, based on the parking idle time and the preset user alienation recommended interval, it is determined whether the shared bicycle is in a safe state or a risky state when the user requests to unlock the bicycle, as follows: If the parking idle time is longer than the pre-set recommended user distance interval, the shared bicycle is judged to be in a safe state when the user requests to unlock it; if the parking idle time is less than or equal to the pre-set recommended user distance interval, the shared bicycle is judged to be in a risky state when the user requests to unlock it.

5. The user distancing strategy and operation method for shared bicycles under the epidemic situation according to claim 4 is characterized in that: The recommended user alienation interval ranges from 10 minutes to 24 hours.

6. The user distancing strategy and operation method for shared bicycles under the epidemic situation according to claim 1 is characterized in that: In step 3, the walking distance ranges from 50 meters to 1 kilometer.

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