Urban shared bicycle parking area overflow analysis method and system

Abstract

The invention relates to the technical field of urban traffic management, and provides an urban shared bicycle parking area overflow analysis method and system, and the method comprises the steps: obtaining the maximum parking reasonable amount of a parking area of a target city, obtaining the position information of shared bicycles, calculating a single parking area overflow rate of the target city according to the obtained maximum parking reasonable quantity of the parking area and the position information of the shared bicycles; calculating a scheduling load according to the scheduling resource of the shared bicycle operator, determining an overflow scheduling critical value according to the scheduling load, and determining the overflow state of the single parking area according to the relationship between the overflow rate of the single parking area and the overflow scheduling critical value; and calculating an average overflow state and a bottleneck overflow state of the target area according to the overflow state of the single parking area. According to the urban shared bicycle parking area overflow analysis method and system, more comprehensive and accurate analysis and management across shared bicycle operation enterprises and across traditional single-point bicycle management modes can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of urban traffic management, and in particular to a method and system for analyzing overflow in urban shared bicycle parking areas. Background Art

[0002] At present, domestic cities generally adopt the measure of dividing parking areas on the roadside or sidewalk as a means of standardized management of shared bicycle parking spots. However, the division of parking areas generally relies on the existing conditions of urban roads. There are a large number of problems such as insufficient number and quantity of parking areas. As a result, some CBDs and large-scale living facilities (schools, hospitals, transportation hubs, etc.) are overcrowded with vehicles during peak hours and cannot be supported by data, and thus cannot solve the bottleneck problems in parking area planning, vehicle scheduling resource investment, etc.

[0003] At present, the evaluation of shared bicycle operating companies still adopts post-dispatch measures for the high-incidence areas of shared bicycle parking areas during peak hours. There is no algorithmic analysis of shared bicycle operation big data to predict the saturation and overflow of parking areas, and it is impossible to take targeted dispatch prevention measures in advance. Instead, it is mainly based on post-disposal, which is slow to respond, poor in effect and has a great adverse impact on traffic. Even more often, no effective management and operation measures are taken, but natural flow is relied on to reduce overflow problems, which has a great negative impact on the city's appearance and traffic. In addition, the relevant regulatory approval departments also lack the corresponding data analysis methods to support the planning and adjustment of shared bicycle parking areas, and are also unable to effectively supervise the dispatch efficiency and other operational quality of shared bicycle operating companies.

[0004] Therefore, how to provide a method for analyzing the overflow situation of shared bicycle parking areas, to track and predict the overflow situation of urban shared bicycle parking areas in real time, and to achieve a more accurate and comprehensive analysis of the overflow situation of shared bicycle parking areas has become a technical problem that needs to be solved urgently. Summary of the invention

[0005] In view of this, in order to overcome the shortcomings of the prior art, the present invention aims to provide a method and system for analyzing overflow in urban shared bicycle parking areas.

[0006] According to a first aspect of the present invention, a method for analyzing overflow of a shared bicycle parking area in a city is provided, the method comprising: Obtain the maximum reasonable parking capacity of the parking area in the target city, obtain the location information of the shared bicycles, and calculate the overflow rate of a single parking area in the target city based on the obtained maximum reasonable parking capacity of the parking area and the location information of the shared bicycles; Calculate the dispatch load based on the dispatch resources of the shared bicycle operator, determine the overflow dispatch critical value based on the dispatch load, and determine the overflow state of a single parking area based on the relationship between the overflow rate of a single parking area and the overflow dispatch critical value; The average overflow status and bottleneck overflow status of the target area are calculated based on the overflow status of the individual parking areas.

[0007] Preferably, in the overflow analysis method of the city shared bicycle parking area of ​​the present invention, the maximum reasonable parking capacity of the parking area of ​​the target city is formulated by the target city and authorized to the shared bicycle operator.

[0008] Preferably, in the urban shared bicycle parking area overflow analysis method of the present invention, obtaining the shared bicycle location information includes: according to a preset data acquisition frequency, obtaining the shared bicycle location information from the shared bicycle operator through data docking, wherein the shared bicycle location information includes vehicle number information, vehicle location information and information about the operator to which the vehicle belongs.

[0009] Preferably, in the urban shared bicycle parking area overflow analysis method of the present invention, the overflow rate of a single parking area in the target city is calculated based on the acquired maximum reasonable parking capacity of the parking area and the shared bicycle location information, including: monitoring the current number of parked vehicles in a single parking area in the target city based on the shared bicycle location information and a preset monitoring frequency, and taking the percentage of the current number of parked vehicles in the single parking area to the maximum reasonable parking capacity of the parking area in the target city as the overflow rate of the single parking area.

[0010] Preferably, in the overflow analysis method of urban shared bicycle parking areas of the present invention, the dispatching load is calculated based on the dispatching resources of the shared bicycle operator, including: taking the ratio of the current total number of available shared bicycles of the shared bicycle operator to the current total number of available dispatching personnel as the dispatching load of the shared bicycle operator.

[0011] Preferably, in the overflow analysis method of the urban shared bicycle parking area of ​​the present invention, the overflow scheduling critical value is determined according to the scheduling load, including: determining different overflow scheduling critical values ​​according to the value of the scheduling load, and when the scheduling load increases, the overflow scheduling critical value increases.

[0012] Preferably, in the urban shared bicycle parking area overflow analysis method of the present invention, the overflow status of a single parking area is determined according to the relationship between the overflow rate of a single parking area and the overflow scheduling critical value, including: when the overflow rate of a single parking area is greater than 100%, the overflow status of the single parking area is judged as overflow; when the overflow rate of a single parking area is greater than the overflow scheduling critical value, the overflow status of the single parking area is judged as severe overflow.

[0013] Preferably, in the urban shared bicycle parking area overflow analysis method of the present invention, the average overflow status and bottleneck overflow status of the target area are calculated according to the overflow status of a single parking area, including: calculating and aggregating the overflow rates of all single parking areas in the target area within a preset time range, performing mean processing on the aggregated overflow rates, and using the result of the mean processing as the average overflow rate of the target area.

[0014] Preferably, in the overflow analysis method of urban shared bicycle parking areas of the present invention, the average overflow status and bottleneck overflow status of the target area are calculated according to the overflow status of a single parking area, and also includes: collecting the daily overflow times, overflow duration and maximum overflow rate of all single parking areas in the target area, and arranging the single parking areas in descending order using the daily overflow times, overflow duration and maximum overflow rate as sorting indicators, and taking the parking areas ranked in front of a preset number as bottleneck parking areas.

[0015] According to a second aspect of the present invention, there is provided a city shared bicycle parking area overflow analysis system, the system comprising an overflow analysis server, the overflow analysis server being used to: obtain a target city's maximum reasonable parking volume in a parking area, obtain shared bicycle location information, calculate a single parking area overflow rate in the target city based on the obtained maximum reasonable parking volume in the parking area and the shared bicycle location information; calculate a scheduling load based on the scheduling resources of the shared bicycle operator, determine an overflow scheduling critical value based on the scheduling load, determine the overflow status of a single parking area based on the relationship between the single parking area overflow rate and the overflow scheduling critical value; and calculate an average overflow status and a bottleneck overflow status of the target area based on the overflow status of the single parking area.

[0016] According to a third aspect of the present invention, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in the first aspect of the present invention when executing the program.

[0017] The method and system for analyzing overflow of shared bicycle parking areas in cities of the present invention have the following beneficial technical effects: 1. It can provide management departments with a set of data-based planning and operation quality data analysis methods at the level of shared bicycle parking areas in cities, and realize analysis and management across shared bicycle operating companies and traditional single-point vehicle management models; 2. It helps to provide auxiliary decision-making basis for shared bicycles or other short-distance commuting, alternative commuting, parking site planning and setting, shared bicycle operation enterprise deployment approval, access approval and other aspects; 3. Through the quantifiable parking area overflow data indicator analysis calculation model, the parameters of the problem areas, such as area location, time, etc., are analyzed and located, and targeted quantitative improvements are made. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 This is a diagram showing an example of the architecture of a system for analyzing overflow of shared bicycles in parking areas in a city according to an embodiment of the present invention; Figure 2 A flowchart of a method for analyzing overflow of a city's shared bicycle parking area according to an embodiment of the present invention; Figure 3 A schematic diagram of the structure of the device provided by the present invention. DETAILED DESCRIPTION

[0020] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0021] It should be noted that the following embodiments and features in the embodiments may be combined with each other in the absence of conflict; and, based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in the field without making any creative work are within the scope of protection of the present disclosure.

[0022] It should be noted that various aspects of the embodiments within the scope of the appended claims are described below. It should be apparent that the aspects described herein may be embodied in a wide variety of forms, and any specific structure and / or function described herein is merely illustrative. Based on the present disclosure, it should be understood by those skilled in the art that an aspect described herein may be implemented independently of any other aspect, and two or more of these aspects may be combined in various ways. For example, any number of aspects described herein may be used to implement the device and / or practice the method. In addition, other structures and / or functionalities other than one or more of the aspects described herein may be used to implement this device and / or practice this method.

[0023] Figure 1 FIG. 4 is a diagram showing an example of the architecture of a system for analyzing overflow of shared bicycles in parking areas in a city according to an embodiment of the present invention. Figure 1 As shown, the system may include an overflow analysis server 101, a communication network 102 and / or one or more overflow analysis clients 103. Figure 1 The example shown is a plurality of overflow analysis clients 103 .

[0024] The overflow analysis server 101 can be any suitable server for storing information, data, programs and / or any other suitable type of content. In some embodiments, the overflow analysis server 101 can perform appropriate functions. For example, in some embodiments, the overflow analysis server 101 can be used for overflow analysis of urban shared bicycle parking areas. As an optional example, in some embodiments, the overflow analysis server 101 can be used to implement overflow analysis of urban shared bicycle parking areas by calculating the overflow rate of a single parking area in the target city. For example, the overflow analysis server 101 can be used to: obtain the maximum reasonable parking amount of the parking area in the target city, obtain the shared bicycle location information, and calculate the overflow rate of a single parking area in the target city based on the obtained maximum reasonable parking amount of the parking area and the shared bicycle location information; calculate the scheduling load based on the scheduling resources of the shared bicycle operator, determine the overflow scheduling critical value based on the scheduling load, and determine the overflow state of a single parking area based on the relationship between the overflow rate of a single parking area and the overflow scheduling critical value; calculate the average overflow state and bottleneck overflow state of the target area based on the overflow state of a single parking area.

[0025] As another example, in some embodiments, the overflow analysis server 101 can send the city shared bicycle parking area overflow analysis method to the overflow analysis client 103 for user use based on the request of the overflow analysis client 103.

[0026] As an optional example, in some embodiments, the overflow analysis client 103 is used to provide a visual overflow analysis interface, which is used to receive a user's selection input operation for overflow analysis of a city shared bicycle parking area, and, in response to the selection input operation, obtain the overflow analysis interface corresponding to the option selected by the selection input operation from the overflow analysis server 101 and display the overflow analysis interface, wherein the overflow analysis interface at least displays information on overflow analysis of the city shared bicycle parking area and operation options for the information on overflow analysis of the city shared bicycle parking area.

[0027] In some embodiments, the communication network 102 can be any suitable combination of one or more wired and / or wireless networks. For example, the communication network 102 can include any one or more of the following: the Internet, an intranet, a wide area network (WAN), a local area network (LAN), a wireless network, a digital subscriber line (DSL) network, a frame relay network, an asynchronous transfer mode (ATM) network, a virtual private network (VPN), and / or any other suitable communication network. The overflow analysis client 103 can be connected to the communication network 102 via one or more communication links (e.g., communication link 104), and the communication network 102 can be linked to the overflow analysis server 101 via one or more communication links (e.g., communication link 105). The communication link can be any communication link suitable for transmitting data between the overflow analysis client 103 and the overflow analysis server 101, such as a network link, a dial-up link, a wireless link, a hardwired link, any other suitable communication link, or any suitable combination of such links.

[0028] The overflow analysis client 103 may include any one or more clients that present an interface related to the overflow analysis of the city's shared bicycle parking area in an appropriate form for use and operation by the user. In some embodiments, the overflow analysis client 103 may include any suitable type of device. For example, in some embodiments, the overflow analysis client 103 may include a mobile device, a tablet computer, a laptop computer, a desktop computer, and / or any other suitable type of client device.

[0029] Although the overflow analysis server 101 is illustrated as one device, in some embodiments, any suitable number of devices may be used to perform the functions performed by the overflow analysis server 101. For example, in some embodiments, multiple devices may be used to implement the functions performed by the overflow analysis server 101. Alternatively, the functions of the overflow analysis server 101 may be implemented using a cloud service.

[0030] Based on the above system, an embodiment of the present invention provides an overflow analysis method for urban shared bicycle parking areas, which is described below through the following embodiments.

[0031] Figure 2 1 is a flowchart of the steps of a method for analyzing overflow of a shared bicycle parking area in a city according to an embodiment of the present invention. The method for analyzing overflow of a shared bicycle parking area in a city according to this embodiment can be executed on an overflow analysis server, such as Figure 2 As shown, the overflow analysis method of the shared bicycle parking area in the city includes the following steps: Step S201: Obtain the maximum reasonable parking capacity of the parking area in the target city, obtain the location information of the shared bicycles, and calculate the overflow rate of a single parking area in the target city based on the obtained maximum reasonable parking capacity of the parking area and the location information of the shared bicycles.

[0032] As an optional example, in this embodiment, the maximum reasonable parking capacity of the parking area in the target city is formulated by the target city and authorized by the shared bicycle operator. In actual application, the maximum reasonable parking capacity of the parking area is used as the data basis for subsequent data analysis and calculation. For example, the maximum reasonable parking capacity of the parking area in the target city can be formulated according to the actual scale and management of the city, such as controlling it at 30 vehicles.

[0033] This embodiment obtains the shared bicycle location information from the shared bicycle operator through data docking according to the preset data acquisition frequency. The shared bicycle location information includes vehicle number information, vehicle location information, and vehicle operator information. In actual applications, the shared bicycle location information includes the vehicle's real-time location information, the vehicle's starting point location information, and the vehicle's end point location information. For example, the shared bicycle location information of this embodiment can be obtained from the shared bicycle operator through an interface, and the shared bicycle operator can also report the data in the form of database table forwarding. The frequency of data reporting can be preset according to the data scale, such as 10 minutes / time.

[0034] After obtaining the maximum reasonable parking capacity of the parking area in the target city and the location information of shared bicycles, this embodiment monitors the current number of parked vehicles in a single parking area in the target city according to the location information of shared bicycles and the preset monitoring frequency, and takes the percentage of the current number of parked vehicles in a single parking area to the maximum reasonable parking capacity of the parking area in the target city as the overflow rate of the single parking area. In practical applications, the monitoring frequency of the current number of parked vehicles in a single parking area in the target city can be set according to actual needs, such as 60s / time. When it is monitored that the number of shared bicycles parked in a parking area exceeds the maximum reasonable parking capacity of the parking area, the parking area is marked as overflowing, and the current overflow time and the real-time overflow rate and the number of overflow vehicles are recorded, wherein the number of overflow vehicles is the difference between the current number of parked vehicles and the maximum reasonable parking capacity of the parking area.

[0035] Step S202: Calculate the dispatching load according to the dispatching resources of the shared bicycle operator, determine the overflow dispatching critical value according to the dispatching load, and determine the overflow state of a single parking area according to the relationship between the overflow rate of a single parking area and the overflow dispatching critical value.

[0036] It should be noted that, in this embodiment, the overflow scheduling critical value is set according to the operation scheduling resources of the shared bicycle operator in the target city. As an optional example, this embodiment uses the ratio of the total number of currently available shared bicycles of the shared bicycle operator to the total number of currently available scheduling personnel as the scheduling load of the shared bicycle operator. After calculating the scheduling load, different overflow scheduling critical values ​​are determined according to the value of the scheduling load. When the scheduling load increases, the overflow scheduling critical value increases. When the overflow rate of a single parking area is greater than 100%, the overflow state of the single parking area is judged as overflowing; when the overflow rate of a single parking area is greater than the overflow scheduling critical value, such as 120%, the overflow state of the single parking area is judged as severe overflow. In actual applications, when the overflow rate of a single parking area is greater than the overflow scheduling critical value, the corresponding parking area needs to be scheduled, and the number of dispatches is the number of overflow vehicles. For example, when the scheduling load is ≤500, the overflow scheduling critical value is 120% of the overflow rate. When the scheduling load is greater than 500, the overflow scheduling critical value can be extended to 150% or 200%, but the maximum value shall not exceed 200%.

[0037] Step S203: Calculate the average overflow status and the bottleneck overflow status of the target area according to the overflow status of the single parking area.

[0038] In this embodiment, the overflow situation of the target area is analyzed from two dimensions: average overflow situation and bottleneck overflow situation.

[0039] As an optional example, this embodiment calculates and aggregates the overflow rates of all individual parking areas in the target area within a preset time range, performs average processing on the aggregated overflow rates, and uses the result of the average processing as the average overflow rate of the target area. In this embodiment, the average overflow rate of the target area is used to measure the macro-indicator of the planning and scheduling efficiency of shared bicycles in the parking area of ​​the target area.

[0040] As an optional example, this embodiment collects the number of daily overflows, overflow durations, and maximum overflow rates of all individual parking areas in the target area, and uses the number of daily overflows, overflow durations, and maximum overflow rates as sorting indicators to sort the individual parking areas in descending order, and the parking areas with the highest number of overflows are regarded as bottleneck parking areas. In this embodiment, the bottleneck overflow situation is used to determine the overflow bottleneck degree of the parking areas in the target area. For example, the number of daily overflows is not less than 2 times or the overflow duration (from the overflow rate of 100% to the end of the overflow rate of less than 100%) is not less than 30 minutes. The parking areas are sorted from high to low according to the maximum overflow rate or from large to small according to the number of overflows. It is concluded that the parking areas with the highest overflow rate, the parking areas with more overflows, and the parking areas with longer overflow durations are all bottleneck parking areas in the area, which need to be paid special attention to. When necessary, the parking areas can be planned and adjusted, such as expanding the parking area or increasing the operation and scheduling efforts.

[0041] This embodiment uses a big data algorithm to obtain key indicators such as whether the city's shared bicycle parking area is overflowing and the overflow rate (including the planned capacity, maximum capacity, overflow situation, overflow rate, and over-area parking rate of the shared bicycle parking area), which are used to assist the city's shared bicycle management department and shared bicycle operating unit to find out the situation of each key parking area, the main peak period, and the prediction of future development trends, and provide a detailed and reliable data basis for capacity scheduling and parking area planning adjustment. The analysis results obtained by the overflow analysis method and system of the city's shared bicycle parking area in this embodiment can be applied to the operation quality supervision of shared bicycle operators and the planning adjustment and optimization of shared bicycle parking areas. At points with a high overflow rate, frequent overflows, and long durations, the vehicle proportions and proportion change trends of different shared bicycle operators can intuitively reflect the impact of the shared bicycle operator on the overflow parking points of shared bicycles in the city. The higher the proportion, the smoother the trend change, indicating that the bottleneck problem of the shared bicycle operator is more prominent and the scheduling response capability needs to be optimized and improved. In terms of regional parking area planning, the overflow situation of each parking spot in the region can be monitored in real time based on the data, and the historical data of each overflow parking area in the region can be used to draw a change map to analyze the changes in the overflow of shared bicycles in different areas at different times, so as to find out the parking areas and parking area ranges with high overflow frequency and high overflow rate, so as to help the relevant shared bicycle planning and approval departments to renovate, optimize and upgrade the parking areas with poor overflow performance.

[0042] The method and system for analyzing overflow of shared bicycle parking areas in cities according to this embodiment have the following beneficial technical effects: 1. It can provide management departments with a set of data-based planning and operation quality data analysis methods at the level of shared bicycle parking areas in cities, and realize analysis and management across shared bicycle operating companies and traditional single-point vehicle management models; 2. It helps to provide auxiliary decision-making basis for shared bicycles or other short-distance commuting, alternative commuting, parking site planning and setting, shared bicycle operation enterprise deployment approval, access approval and other aspects; 3. Through the quantifiable parking area overflow data indicator analysis calculation model, the parameters of the problem areas, such as area location, time, etc., are analyzed and located, and targeted quantitative improvements are made.

[0043] like Figure 3As shown, the present invention also provides a device, including a processor 310, a communication interface 320, a memory 330 for storing a computer program executable by the processor, and a communication bus 340. The processor 310, the communication interface 320, and the memory 330 communicate with each other through the communication bus 340. The processor 310 implements the above-mentioned overflow analysis method of the urban shared bicycle parking area by running the executable computer program.

[0044] Among them, the computer program in the memory 330 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0045] The system embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected based on actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.

[0046] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiment.

[0047] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method for analyzing overflow of urban shared bicycle parking areas, characterized in that: The method comprises: Obtain the maximum reasonable parking capacity of the parking area in the target city, obtain the location information of the shared bicycles, and calculate the overflow rate of a single parking area in the target city based on the obtained maximum reasonable parking capacity of the parking area and the location information of the shared bicycles; Calculate the dispatch load based on the dispatch resources of the shared bicycle operator, determine the overflow dispatch critical value based on the dispatch load, and determine the overflow state of a single parking area based on the relationship between the overflow rate of a single parking area and the overflow dispatch critical value; The average overflow status and bottleneck overflow status of the target area are calculated based on the overflow status of the individual parking areas.

2. The method for analyzing overflow of urban shared bicycle parking areas according to claim 1, characterized in that: The maximum reasonable parking capacity in the parking areas of target cities shall be determined by the target cities and authorized to the shared bicycle operators.

3. The method for analyzing overflow of urban shared bicycle parking areas according to claim 1, characterized in that: Obtaining shared bicycle location information includes: obtaining shared bicycle location information from a shared bicycle operator through data docking according to a preset data acquisition frequency, wherein the shared bicycle location information includes vehicle number information, vehicle location information, and information about the operator to which the vehicle belongs.

4. The method for analyzing overflow of urban shared bicycle parking areas according to claim 1, characterized in that: The overflow rate of a single parking area in the target city is calculated based on the acquired maximum reasonable parking capacity of the parking area and the location information of shared bicycles, including: monitoring the current number of parked vehicles in a single parking area in the target city based on the location information of shared bicycles and a preset monitoring frequency, and taking the percentage of the current number of parked vehicles in the single parking area to the maximum reasonable parking capacity of the parking area in the target city as the overflow rate of the single parking area.

5. The method for analyzing overflow of urban shared bicycle parking areas according to claim 1, characterized in that: The dispatching load is calculated according to the dispatching resources of the shared bicycle operator, including: taking the ratio of the total number of currently available shared bicycles of the shared bicycle operator to the total number of currently available dispatching personnel as the dispatching load of the shared bicycle operator.

6. The method for analyzing overflow of urban shared bicycle parking areas according to claim 1, characterized in that: Determining the overflow scheduling critical value according to the scheduling load includes: determining different overflow scheduling critical values ​​according to the value of the scheduling load, and when the scheduling load increases, the overflow scheduling critical value increases.

7. The method for analyzing overflow of urban shared bicycle parking areas according to claim 1, characterized in that: The overflow status of a single parking area is determined based on the relationship between the overflow rate of a single parking area and the overflow scheduling critical value, including: when the overflow rate of a single parking area is greater than 100%, the overflow status of the single parking area is judged as overflow; when the overflow rate of a single parking area is greater than the overflow scheduling critical value, the overflow status of the single parking area is judged as severe overflow.

8. The method for analyzing overflow of urban shared bicycle parking areas according to claim 1, characterized in that: The average overflow status and bottleneck overflow status of the target area are calculated based on the overflow status of the individual parking areas, including: calculating and aggregating the overflow rates of all individual parking areas in the target area within a preset time range, averaging the aggregated overflow rates, and using the result of the averaging as the average overflow rate of the target area.

9. The method for analyzing overflow of urban shared bicycle parking areas according to claim 1, characterized in that: The average overflow status and bottleneck overflow status of the target area are calculated based on the overflow status of each individual parking area, and the method also includes: collecting the daily overflow times, overflow duration and maximum overflow rate of all individual parking areas in the target area, and arranging the individual parking areas in descending order using the daily overflow times, overflow duration and maximum overflow rate as sorting indicators, and using the parking areas ranked in front of a preset number as bottleneck parking areas.

10. An urban shared bicycle parking area overflow analysis system, characterized in that: The system includes an overflow analysis server, which is used to: obtain the maximum reasonable parking capacity of the parking area in the target city, obtain the location information of shared bicycles, and calculate the overflow rate of a single parking area in the target city according to the obtained maximum reasonable parking capacity of the parking area and the location information of shared bicycles; calculate the scheduling load according to the scheduling resources of the shared bicycle operator, determine the overflow scheduling critical value according to the scheduling load, and determine the overflow status of the single parking area according to the relationship between the overflow rate of the single parking area and the overflow scheduling critical value; calculate the average overflow status and bottleneck overflow status of the target area according to the overflow status of the single parking area.

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