Method and system for analyzing competition relationship between shared electric bicycle and public transport based on time

Abstract

The invention provides a time-based shared electric bicycle and public transport competition relationship analysis method and system, and the system comprises a traffic trip data set which comprises shared electric bicycle trip order data and public transport line data; the trip starting and ending point pair extraction module is used for extracting high-frequency trip starting and ending point pairs and average riding time of the shared electric bicycles from the trip order data of the shared electric bicycles; the public transport searching module is used for searching alternative public transport travel routes for high-frequency travel starting and ending points based on the public transport route data; a public transport convenience determination module that determines whether the public transport travel convenience between the high-frequency travel start-end point pair is public transport travel convenience or inconvenience based on the travel time length of the alternative public transport travel route; and a competing relationship prompting module which prompts whether the competing relationship between the shared electric bicycle between the high-frequency travel starting and ending point pair and the public transport is a complementary relationship or a competitive relationship based on the determination result of the public transport travel convenience.

Description

Technical Field

[0001] The present application relates to the field of urban traffic management, and specifically to a time-based method and system for analyzing the competitive and cooperative relationship between shared electric motorcycles and public transportation. Background Art

[0002] With the acceleration of urbanization, urban traffic pressure and environmental pollution are becoming increasingly serious. As a new urban transportation mode, shared electric motorcycles can meet the residents' medium and short-distance travel needs and are an effective slow-moving transportation tool. As a supplement to public transportation services, shared electric motorcycles have alleviated the "last mile" travel problem of rail transit stations and bus stations to a certain extent, and have played a positive role in alleviating traffic congestion and energy conservation and emission reduction. However, due to its advantages of flexible and convenient driving, shared electric motorcycles have also played a certain role in replacing public transportation. In view of this, many places are worried that the development of shared electric motorcycles will affect local public transportation operations. Therefore, it is necessary to analyze the relationship of competition and cooperation, that is, the competitive and cooperative relationship, between shared electric motorcycles and public transportation.

[0003] The existing methods for analyzing the competitive and cooperative relationship between shared electric motorcycles and public transportation are often analyzed from the perspective of distance. For example, when the travel distance is less than 3 kilometers, shared electric motorcycles have an advantage, and when the travel distance exceeds 10 kilometers, public transportation has an advantage. This analysis method has many defects: 1. The vast majority of shared electric motorcycle travel distances are within 5 kilometers. The sample size of shared electric motorcycle trips with extremely long travel distances is small, and the analysis is meaningless; 2. Public transportation has the characteristics of fixed routes. Sometimes, even if it is a long-distance trip, if there is no convenient bus route between the starting and ending points, the traveler can only travel by shared electric motorcycle or other means. It can be seen that the existing distance-based analysis method has many shortcomings, and a new method is urgently needed to optimize the competitive and cooperative relationship between shared electric motorcycles and public transportation. Summary of the invention

[0004] In view of this, the present application provides a time-based method and system for analyzing the competitive relationship between shared electric motorcycles and public transportation to at least solve the above-mentioned technical problems.

[0005] In order to achieve the above-mentioned purpose, the technical solution of this application is implemented in the following way.

[0006] According to one aspect of the present application, a time-based competitive relationship analysis system for shared electric motorcycles and public transportation is provided, the system comprising:

[0007] Traffic travel data set, which is a traffic travel data resource used to analyze the competitive relationship between shared electric motorcycles and public transportation, including shared electric motorcycle travel order data and public transportation route data;

[0008] A travel start-end pair extraction module, which extracts the high-frequency travel start-end pairs of shared electric motorcycles and the average riding time of these high-frequency travel start-end pairs from the shared electric motorcycle travel order data in the traffic travel data set;

[0009] A public transportation search module, which searches for alternative public transportation routes for high-frequency travel start and end points of the shared electric motorcycle based on the public transportation route data in the traffic travel data set;

[0010] a public transportation convenience determination module, which determines whether the public transportation convenience between the high-frequency travel start-end pair of the shared motorcycle is convenient or inconvenient based on the travel time length of the public transportation travel route for the alternative public transportation travel route; and

[0011] A competitive relationship prompting module prompts whether the competitive relationship between the shared electric motorcycles and public transportation between the high-frequency travel starting and ending points is a complementary relationship or a competitive relationship based on the determination result of the convenience of public transportation travel between the high-frequency travel starting and ending points.

[0012] In the above solution, the travel start-end point pair extraction module:

[0013] The overall travel range of all travel orders in the shared electric motorcycle travel order data is divided into spatial grids with a fixed length of side length,

[0014] All the travel orders in the shared motorcycle travel order data are mapped to the spatial grids respectively, and the starting point and the end point of each travel order fall within a certain grid of the spatial grid.

[0015] Traverse all travel orders in the shared electric motorcycle travel order data, and count the grid pairs corresponding to the starting point and the end point of the travel order.

[0016] Determine the high-frequency grid pairs whose count values ​​in the spatial grid are above a predetermined threshold as the high-frequency travel start-end pairs of the shared electric motorcycle,

[0017] The average riding time in all travel order data occurring between the high-frequency grid pairs is calculated, and the average riding time is used as the average riding time of the high-frequency travel start-end pairs of the corresponding shared electric motorcycles.

[0018] In the above solution, the public transportation search module:

[0019] Traverse all the high-frequency travel start-end pairs of the shared motorcycles, and determine whether there are public transportation stops near the start and end points of the high-frequency travel start-end pairs of the shared motorcycles based on the public transportation route data in the transportation travel data set.

[0020] If there is a public transportation stop near the starting point and the end point of the high-frequency travel start-end pair of the shared electric motorcycle, the public transportation travel route is determined as an alternative public transportation travel route for the high-frequency travel start-end pair.

[0021] If there are no public transportation stops near the starting point and the end point of the high-frequency travel starting and ending point pair of the shared electric motorcycle, it is determined that there is no alternative public transportation travel route for the high-frequency travel starting and ending point pair.

[0022] In the above solution, the public transportation convenience determination module:

[0023] For the high-frequency travel start-end pair of the shared motorcycle for which there is no alternative public transportation travel route, it is determined that the public transportation travel of the high-frequency travel start-end pair is inconvenient,

[0024] For the high-frequency travel starting and ending pairs of the shared electric motorcycles for which there are alternative public transportation travel routes, if the travel time of the alternative public transportation travel route is longer than the average riding time of the high-frequency travel starting and ending pairs by more than a threshold value, it is determined that public transportation travel between the high-frequency travel starting and ending pairs is inconvenient; otherwise, it is determined that public transportation travel is convenient.

[0025] In the above scheme, for the high-frequency travel starting and ending pairs of the shared electric motorcycles for which there are alternative public transportation travel routes, if the travel time of the alternative public transportation travel routes is more than three times the average riding time of the high-frequency travel starting and ending pairs, the public transportation convenience determination module determines that public transportation travel between the high-frequency travel starting and ending pairs is inconvenient; otherwise, it is determined that public transportation travel is convenient.

[0026] In the above solution, the competitive relationship prompt module:

[0027] For all the high-frequency travel start-end pairs of the shared motorcycles that are determined to be inconvenient for public transportation, it is suggested that the competitive and cooperative relationship between the shared motorcycles and public transportation between the high-frequency travel start-end pairs is a complementary competitive and cooperative relationship.

[0028] For all the high-frequency travel starting and ending pairs of the shared electric motorcycles that are determined to be convenient for public transportation, it is suggested that the competitive and cooperative relationship between the shared electric motorcycles and public transportation between the high-frequency travel starting and ending pairs is a competitive and cooperative relationship.

[0029] According to another aspect of the present application, a time-based competitive relationship analysis method between shared electric motorcycles and public transportation is provided, the method comprising:

[0030] Constructing a traffic travel data set, which is a traffic travel data resource used for analyzing the competitive relationship between shared electric motorcycles and public transportation, including shared electric motorcycle travel order data and public transportation route data;

[0031] Extracting high-frequency travel start-end pairs of shared electric motorcycles and the average riding time of these high-frequency travel start-end pairs from the shared electric motorcycle travel order data in the traffic travel data set;

[0032] Based on the public transportation route data in the traffic travel data set, searching for alternative public transportation travel routes for the high-frequency travel start and end points of the shared electric motorcycle;

[0033] For the alternative public transportation travel routes of the high-frequency travel start-end pairs of the shared motorcycles, based on the travel time length of the public transportation travel routes, determine whether the public transportation travel convenience between the high-frequency travel start-end pairs is public transportation convenient or public transportation inconvenient; and

[0034] Based on the determination result of the convenience of public transportation between the high-frequency travel starting and ending points, it is suggested whether the competitive relationship between shared electric motorcycles and public transportation between the high-frequency travel starting and ending points is a complementary relationship or a competitive relationship.

[0035] In the above scheme, the step of searching for alternative public transportation routes further includes:

[0036] Traversing all the high-frequency travel start-end pairs of the shared motorcycles, and determining whether there are public transportation stops near the start and end points of the high-frequency travel start-end pairs of the shared motorcycles based on the public transportation route data in the transportation travel data set;

[0037] If there is a public transportation stop near the starting point and the end point of the high-frequency travel start-end pair of the shared motorcycle, then the public transportation travel route is determined as an alternative public transportation travel route for the high-frequency travel start-end pair; and

[0038] If there are no public transportation stops near the starting point and the end point of the high-frequency travel starting and ending point pair of the shared electric motorcycle, it is determined that there is no alternative public transportation travel route for the high-frequency travel starting and ending point pair.

[0039] In the above scheme, the step of determining whether the public transportation travel convenience between the high-frequency travel start-end point pair is convenient public transportation travel or inconvenient public transportation travel further includes:

[0040] For a high-frequency travel start-end pair of the shared motorcycle for which there is no alternative public transportation travel route, determining that public transportation travel for the high-frequency travel start-end pair is inconvenient; and

[0041] For the high-frequency travel starting and ending pairs of the shared electric motorcycles for which there are alternative public transportation travel routes, if the travel time of the alternative public transportation travel route is longer than the average riding time of the high-frequency travel starting and ending pairs by more than a threshold value, it is determined that public transportation travel between the high-frequency travel starting and ending pairs is inconvenient; otherwise, it is determined that public transportation travel is convenient.

[0042] In the above scheme, the step of indicating whether the competitive relationship between shared electric motorcycles and public transportation between high-frequency travel start-end pairs is a complementary relationship or a competitive relationship further includes:

[0043] For all the high-frequency travel start-end pairs of the shared motorcycles that are determined to be inconvenient for public transportation, it is suggested that the competitive and cooperative relationship between the shared motorcycles and public transportation between the high-frequency travel start-end pairs is a supplementary competitive and cooperative relationship; and

[0044] For all the high-frequency travel starting and ending pairs of the shared electric motorcycles that are determined to be convenient for public transportation, it is suggested that the competitive and cooperative relationship between the shared electric motorcycles and public transportation between the high-frequency travel starting and ending pairs is a competitive and cooperative relationship.

[0045] The time-based competitive and cooperative relationship analysis method and system for shared electric motorcycles and public transportation provided in the present application extracts high-frequency travel start-end pairs of shared electric motorcycles from the traffic travel data set, analyzes whether there are suitable alternative public transportation routes between these start-end pairs, and determines the convenience of public transportation travel between these high-frequency travel start-end pairs based on the public transportation travel time, and then determines the competitive and cooperative relationship between shared electric motorcycles and public transportation between these high-frequency travel start-end pairs. This can facilitate public transportation companies and shared electric motorcycle companies to adjust their routes and vehicle distribution, better complement each other, and better develop together. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A schematic diagram of the structure of a time-based competitive relationship analysis system for shared electric motorcycles and public transportation according to an embodiment of the present application;

[0047] Figure 2 A schematic flow chart of a method for analyzing the competitive relationship between shared electric motorcycles and public transportation based on time according to an embodiment of the present application;

[0048] Figure 3 This is a schematic diagram of the structural composition of a time-based competitive and cooperative relationship analysis device for shared electric motorcycles and public transportation according to an embodiment of the present application. DETAILED DESCRIPTION

[0049] The technical solution of the present application is further elaborated in detail below in conjunction with the accompanying drawings and specific embodiments of the specification.

[0050] The various specific technical features in the various embodiments described in the specific implementation methods can be combined in various ways without contradiction. For example, different implementation methods can be formed by combining different specific technical features. In order to avoid unnecessary repetition, the various possible combinations of the specific technical features in this application will not be described separately.

[0051] It should be noted that the terms "first\second\third" involved in the embodiments of the present application are only used to distinguish similar objects, and do not represent a specific order for the objects. It is understood that "first\second\third" can be interchanged with a specific order or sequence where permitted. It should be understood that the objects distinguished by "first\second\third" can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein.

[0052] The time-based competitive and cooperative relationship analysis method and system of the present application analyzes the accessibility of public transportation between high-frequency travel start-end pairs of shared electric motorcycles, and then identifies the competitive and cooperative relationship between shared electric motorcycles and public transportation between these start-end pairs based on travel time.

[0053] Figure 1 This is a schematic diagram of the structure of the time-based competitive relationship analysis system between shared electric motorcycles and public transportation in an embodiment of the present application. Figure 1 As shown, the time-based competitive relationship analysis system between shared electric motorcycles and public transportation includes: a data set construction module 11, a travel start-end point pair extraction module 12, a public transportation search module 13, a public transportation convenience determination module 14 and a competitive relationship prompt module 15.

[0054] The time-based competitive and cooperative relationship analysis system between shared electric motorcycles and public transportation also includes: a transportation travel data set 16.

[0055] The data set construction module 11 constructs a traffic travel data set 16. The traffic travel data set 16 is a traffic travel data resource used for analyzing the competitive relationship between shared electric motorcycles and public transportation, including two types of data: shared electric motorcycle travel order data 161; public transportation route data 162.

[0056] In this embodiment, the data set construction module 11 obtains the shared motorcycle travel order data 161 from the shared motorcycle operating enterprise. The shared motorcycle travel order data 161 records the information when the vehicle is unlocked and locked. The key fields of the information when the vehicle is unlocked and locked may specifically include the vehicle number, unlocking time, unlocking latitude and longitude, locking time, locking latitude and longitude, riding speed, riding distance, riding time and other fields of the shared motorcycle.

[0057] The data set construction module 11 obtains public transportation line data 162 from the public transportation enterprise. The public transportation line data 162 includes information about each line of public transportation. The information about each line of public transportation may specifically include line identification and the names of the constituent stations of each line, the longitude and latitude of the stations, and other information.

[0058] The travel start-end pair extraction module 12 extracts the high-frequency travel start-end pairs of shared electric motorcycles and the average riding time of these high-frequency travel start-end pairs from the shared electric motorcycle travel order data 161 in the traffic travel data set 16.

[0059] In this embodiment, the travel start-end pair extraction module 12 uses the idea of ​​spatial gridding to extract the high-frequency travel start-end pair of shared motorcycles. Specifically, the overall travel range of all travel orders in the shared motorcycle travel order data 161 is first divided into spatial grids. Specifically, the maximum longitude, maximum latitude, minimum longitude and minimum latitude of the longitude and latitude part of the shared motorcycle travel order data 161 are extracted, and the rectangle determined by these four values ​​is used as the boundary of the analysis range. Then, a fixed length, such as 200 meters, is used as the grid side length to divide the analysis range into multiple grids with a side length of the fixed length, i.e., 200 meters; all travel orders in the shared motorcycle travel order data 161 are respectively mapped to the above-mentioned spatial grids. The grid is a spatial grid, so that the starting point and the end point of each travel order will fall within a grid of the spatial grid; all grids are numbered, all travel orders in the shared electric motorcycle travel order data 161 are traversed, and the grid pairs corresponding to the starting point and the end point of the travel order are counted. For example, if the starting point of a travel order falls in grid a and the end point falls in grid z, the grid pair (a, z) is counted +1, and all travel order records are traversed in this way; finally, the high-frequency grid pairs with count values ​​above the predetermined threshold in the spatial grid are determined as the high-frequency travel start and end pairs of shared electric motorcycles. It should be noted that since the grid is a range, when the longitude and latitude information of the high-frequency travel start and end pairs is finally recorded, the longitude and latitude of the grid center point can be used to represent the grid, and the longitude and latitude of the high-frequency travel start and end pairs are the longitude and latitude of the center point of the starting grid and the center point of the end grid.

[0060] In addition, the travel start-end pair extraction module 12 calculates the average riding time in all travel order data occurring between the above-mentioned high-frequency grid pairs based on the shared electric motorcycle travel order data 161, and uses the average riding time as the average riding time of the corresponding high-frequency travel start-end pair.

[0061] The public transportation search module 13 searches for alternative public transportation routes for the high-frequency travel start and end points of the shared electric motorcycles based on the public transportation route data 162 in the traffic travel data set 16 .

[0062] In this embodiment, each high-frequency travel start-end pair of a shared motorcycle extracted by the travel start-end pair extraction module 12 has a start point longitude and a destination longitude and latitude, and the public transportation search module 13 traverses all high-frequency travel start-end pairs, and determines whether there is a public transportation station near the start point and the destination of the high-frequency travel start-end pair of the shared motorcycle, for example, within a range of 1000 meters based on the longitude and latitude information of the public transportation station in the public transportation line data 162. If there is a public transportation station near the start point or the destination, the public transportation travel route is determined as an alternative public transportation travel route for the high-frequency travel start-end pair; if there is no public transportation station near the start point and the destination, it is determined that there is no alternative public transportation travel route for the high-frequency travel start-end pair.

[0063] The public transportation convenience determination module 14 determines the public transportation convenience between the high-frequency travel start-end pairs of the shared motorcycles based on the travel time length of the public transportation travel routes.

[0064] In this embodiment, the public transportation convenience determination module 14 determines that "public transportation is inconvenient" between high-frequency travel start-end point pairs of shared electric motorcycles for which there are no alternative public transportation travel routes; for high-frequency travel start-end point pairs of shared electric motorcycles for which there are alternative public transportation travel routes, the travel time of the alternative public transportation travel route is compared with the average riding time of the high-frequency travel start-end point pair of the shared electric motorcycle to determine the convenience of public transportation between the high-frequency travel start-end point pair.

[0065] In a specific example, the public transportation convenience determination module 14 obtains the travel time of alternative public transportation routes between high-frequency travel starting and ending points based on a navigation application, such as the bus navigation of the Amap API, and compares it with the average riding time of shared electric motorcycles between the high-frequency travel starting and ending points. If the public transportation travel time is longer than the average riding time by more than a threshold, for example, more than three times the average riding time, then it is also determined that "public transportation travel is inconvenient" between the high-frequency travel starting and ending points; otherwise, it is determined that "public transportation travel is convenient."

[0066] The competitive relationship prompting module 15 prompts whether the competitive relationship between the shared electric motorcycle and public transportation between the high-frequency travel starting and ending points is a complementary relationship or a competitive relationship based on the determination result of the convenience of public transportation travel between the high-frequency travel starting and ending points.

[0067] In this embodiment, the competitive relationship prompting module 15 prompts that the competitive relationship between the shared electric motorcycles and public transportation between the high-frequency travel start-end pairs of all shared electric motorcycles judged as "inconvenient public transportation travel" is a supplementary competitive relationship, and prompts that the competitive relationship between the shared electric motorcycles and public transportation between the high-frequency travel start-end pairs of all shared electric motorcycles judged as "convenient public transportation travel" is a competitive competitive relationship.

[0068] That is to say, for high-frequency starting and ending points of shared electric motorcycles where public transportation is inconvenient, shared electric motorcycle travel serves as a supplement to public transportation, filling the gap in public transportation between these starting and ending points. Therefore, for such starting and ending points, the competitive and cooperative relationship between shared electric motorcycles and public transportation belongs to the "supplementary" category, and the two complement each other. For starting and ending points where public transportation is convenient, there are two competitive travel modes, public transportation and shared electric motorcycles, between the point pairs, and travelers will choose the appropriate travel mode according to their own preferences. Therefore, the competitive and cooperative relationship between shared electric motorcycles and public transportation belongs to the "competitive" category, and the two compete in a healthy manner.

[0069] In this way, the competitive relationship between shared electric motorcycles and public transportation can be fed back to public transportation companies and shared electric motorcycle companies to adjust the route and vehicle distribution. For the high-frequency starting and ending pairs of "supplementary" shared electric motorcycles, it means that the travel demand between these points is relatively strong, but there is a lack of convenient public transportation. Therefore, public transportation companies can consider adjusting the route to cover the supplementary point pairs, and shared electric motorcycle companies can consider deploying more vehicles near the supplementary point pairs.

[0070] As described above, according to the time-based competitive and cooperative relationship analysis system of the embodiment of the present application, the high-frequency travel starting and ending pairs of shared electric motorcycles are first extracted, and then it is analyzed whether there are suitable alternative public transportation routes between these starting and ending pairs, and the convenience of public transportation travel between these high-frequency travel starting and ending pairs is determined according to the public transportation travel time. Based on this, the competitive and cooperative relationship between shared electric motorcycles and public transportation between these high-frequency travel starting and ending pairs is classified into complementary and competitive categories, which can facilitate public transportation companies and shared electric motorcycle companies to adjust routes and vehicle distribution, better complement each other, and better develop together.

[0071] Figure 2 Schematic diagram of the flow of the time-based competitive relationship analysis method between shared electric motorcycles and public transportation in an embodiment of the present application. Figure 2 As shown, the method includes the following steps.

[0072] In step 201, a traffic travel data set 16 is constructed. The traffic travel data set 16 is a traffic travel data resource used for analyzing the competitive relationship between shared electric motorcycles and public transportation, and includes two types of data: shared electric motorcycle travel order data 161; public transportation route data 162. The shared electric motorcycle travel order data 161 is obtained from the shared electric motorcycle operating company. The public transportation route data 162 is obtained from the public transportation company.

[0073] The shared motorcycle travel order data 161 records the information when the vehicle is unlocked and locked. The key fields of the information when the vehicle is unlocked and locked may specifically include the vehicle number, unlocking time, unlocking latitude and longitude, locking time, locking latitude and longitude, riding speed, riding distance, riding time and other fields of the shared motorcycle.

[0074] The public transportation line data 162 includes information about each line of public transportation, which may include line identification, the name of each line's constituent stations, and the longitude and latitude of the stations.

[0075] In step 202 , high-frequency travel start-end pairs of shared electric motorcycles and the average riding time of these high-frequency travel start-end pairs are extracted from the shared electric motorcycle travel order data 161 in the traffic travel data set 16 .

[0076] In the preferred solution, the idea of ​​spatial gridding is used to extract the high-frequency travel start-end pairs of shared electric motorcycles. Specifically, the overall travel range of all travel orders in the shared electric motorcycle travel order data 161 is first divided into spatial grids. Specifically, the maximum longitude, maximum latitude, minimum longitude and minimum latitude of the longitude and latitude parts of the shared electric motorcycle travel order data 161 are extracted, and the rectangle determined by these four values ​​is used as the boundary of the analysis range. Then, a fixed length, such as 200 meters, is used as the grid side length, and the analysis range is divided into multiple grids with a side length of the fixed length, i.e., 200 meters; all travel orders in the shared electric motorcycle travel order data 161 are respectively mapped to the above-mentioned spatial grids. The grid is a spatial grid, so that the starting point and the end point of each travel order will fall within a grid of the spatial grid; all grids are numbered, all travel orders in the shared electric motorcycle travel order data 161 are traversed, and the grid pairs corresponding to the starting point and the end point of the travel order are counted. For example, if the starting point of a travel order falls in grid a and the end point falls in grid z, the grid pair (a, z) is counted +1, and all travel order records are traversed in this way; finally, the high-frequency grid pairs with count values ​​above the predetermined threshold in the spatial grid are determined as the high-frequency travel start and end pairs of shared electric motorcycles. It should be noted that since the grid is a range, when the longitude and latitude information of the high-frequency travel start and end pairs is finally recorded, the longitude and latitude of the grid center point can be used to represent the grid, and the longitude and latitude of the high-frequency travel start and end pairs are the longitude and latitude of the center point of the starting grid and the center point of the end grid.

[0077] In addition, based on the shared electric motorcycle travel order data 161, the average riding time in all travel order data occurring between the above-mentioned high-frequency grid pairs is calculated, and the average riding time is used as the average riding time of the corresponding high-frequency travel start-end pair.

[0078] In step 203 , based on the public transportation line data 162 in the transportation travel data set 16 , alternative public transportation travel routes are searched for the high-frequency travel start and end points of the shared electric motorcycles.

[0079] In the preferred solution, each high-frequency travel start-end pair of shared motorcycles extracted in step 202 has the latitude and longitude of the start point and the latitude and longitude of the end point. Therefore, in this step, all high-frequency travel start-end pairs are traversed, and based on the latitude and longitude information of the public transportation station in the public transportation line data 162, it is determined whether there is a public transportation station near the start point and the end point of the high-frequency travel start-end pair of shared motorcycles, for example, within a range of 1000 meters. If there is a public transportation station near the start point or the end point, the public transportation travel route is determined as an alternative public transportation travel route for the high-frequency travel start-end pair; if there is no public transportation station near both the start point and the end point, it is determined that there is no alternative public transportation travel route for the high-frequency travel start-end pair.

[0080] In step 204, for the alternative public transportation travel routes of the high-frequency travel start-end pairs of the shared motorcycles, the convenience of public transportation travel between the high-frequency travel start-end pairs is determined based on the travel time length of the public transportation travel routes.

[0081] In the preferred scheme, for high-frequency travel starting and ending pairs of shared electric motorcycles for which there are no alternative public transportation travel routes, it is determined that "public transportation travel is inconvenient" between the high-frequency travel starting and ending pairs; for high-frequency travel starting and ending pairs of shared electric motorcycles for which there are alternative public transportation travel routes, the travel time of the alternative public transportation travel routes is compared with the average riding time of the high-frequency travel starting and ending pairs of the shared electric motorcycles to determine the convenience of public transportation travel between the high-frequency travel starting and ending pairs.

[0082] In a specific example, based on a navigation application, such as the bus navigation of the Amap API, the travel time of alternative public transportation routes between high-frequency travel starting and ending points is obtained, and the travel time is compared with the average riding time of shared electric motorcycles between the high-frequency travel starting and ending points. If the public transportation travel time is longer than the average riding time by more than a threshold, for example, more than three times the average riding time, then it is also determined that "public transportation travel is inconvenient" between the high-frequency travel starting and ending points; otherwise, it is determined that "public transportation travel is convenient."

[0083] In step 205, based on the determination result of the convenience of public transportation between the high-frequency travel starting and ending points, it is suggested whether the competitive relationship between the shared electric motorcycles and public transportation between the high-frequency travel starting and ending points is a complementary relationship or a competitive relationship.

[0084] In the preferred scheme, for all shared electric motorcycles' high-frequency travel starting and ending pairs judged as "inconvenient public transportation travel", it is suggested that the competition and cooperation relationship between the shared electric motorcycles and public transportation between the starting and ending pairs is a complementary competition and cooperation relationship; for all shared electric motorcycles' high-frequency travel starting and ending pairs judged as "convenient public transportation travel", it is suggested that the competition and cooperation relationship between the shared electric motorcycles and public transportation between the starting and ending pairs is a competitive competition and cooperation relationship.

[0085] That is to say, for high-frequency starting and ending points of shared electric motorcycles where public transportation is inconvenient, shared electric motorcycle travel serves as a supplement to public transportation, filling the gap in public transportation between these starting and ending points. Therefore, for such starting and ending points, the competitive and cooperative relationship between shared electric motorcycles and public transportation belongs to the "supplementary" category, and the two complement each other. For starting and ending points where public transportation is convenient, there are two competitive travel modes, public transportation and shared electric motorcycles, between the point pairs, and travelers will choose the appropriate travel mode according to their own preferences. Therefore, the competitive and cooperative relationship between shared electric motorcycles and public transportation belongs to the "competitive" category, and the two compete in a healthy manner.

[0086] In this way, the competitive relationship between shared electric motorcycles and public transportation can be fed back to public transportation companies and shared electric motorcycle companies to adjust the route and vehicle distribution. For the high-frequency starting and ending pairs of "supplementary" shared electric motorcycles, it means that the travel demand between these points is relatively strong, but there is a lack of convenient public transportation. Therefore, public transportation companies can consider adjusting the route to cover the supplementary point pairs, and shared electric motorcycle companies can consider deploying more vehicles near the supplementary point pairs.

[0087] As described above, the time-based competitive and cooperative relationship analysis method between shared electric motorcycles and public transportation in the embodiment of the present application first extracts the high-frequency travel starting and ending pairs of shared electric motorcycles, then analyzes whether there are suitable public transportation routes between these starting and ending pairs, and determines the convenience of public transportation travel between these high-frequency travel starting and ending pairs based on the public transportation travel time. Based on this, the competitive and cooperative relationship between shared electric motorcycles and public transportation between these high-frequency travel starting and ending pairs is classified into complementary and competitive categories, which can facilitate public transportation companies and shared electric motorcycle companies to adjust the routes and vehicle distribution, better complement each other, and better develop together.

[0088] It should be noted that the time-based competitive relationship analysis method for shared electric motorcycles and public transportation provided in the above embodiment is different from the above Figure 1 The time-based competitive and cooperative relationship analysis system for shared electric motorcycles and public transportation provided belongs to the same concept. The specific implementation process can refer to the above system embodiment, which will not be repeated here.

[0089] Figure 3 The time-based competitive relationship analysis device between shared electric motorcycles and public transportation in the embodiment of the present application is as follows: Figure 3 As shown, the time-based competitive relationship analysis device 300 between shared electric motorcycles and public transportation includes at least one processor 301 and a memory 302 for storing a computer program that can be run on the processor 301. The processor 301 is used to execute the time-based competitive relationship analysis method between shared electric motorcycles and public transportation suggested by the above embodiments of the present application when running the computer program. The time-based competitive relationship analysis device 300 between shared electric motorcycles and public transportation also includes at least one network interface 304 and a user interface 303. The various components in the traffic simulation device 300 are coupled together through a bus system 305. It can be understood that the bus system 305 is used to realize the connection and communication between these components. In addition to the data bus, the bus system 305 also includes a power bus, a control bus and a status signal bus. However, for the sake of clarity, in Figure 3 Various buses are labeled as bus system 305 .

[0090] The user interface 303 may include a display, a keyboard, a mouse, a trackball, a click wheel, keys, buttons, a touch pad or a touch screen.

[0091] It can be understood that the memory 302 can be a volatile memory or a non-volatile memory, and can also include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a magnetic random access memory (FRAM), a flash memory, a magnetic surface memory, an optical disk, or a compact disc read-only memory (CD-ROM); the magnetic surface memory can be a disk memory or a tape memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), synchronous static random access memory (SSRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM, SyncLink Dynamic Random Access Memory), and direct RAM bus random access memory (DRRAM, Direct Rambus Random Access Memory).The memory 302 described in the embodiments of the present application is intended to include but is not limited to these and any other suitable types of memories.

[0092] The memory 302 in the embodiment of the present application is used to store various types of data to support the operation of the time-based competitive relationship analysis device 300 for shared electric motorcycles and public transportation. Examples of these data include: any computer program used to operate on the time-based competitive relationship analysis device 300 for shared electric motorcycles and public transportation, such as an operating system 3021, an application 3022, and a time-based competitive relationship analysis system 3023 for shared electric motorcycles and public transportation; wherein the operating system 3021 includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and processing hardware-based tasks. The application 3022 may include various applications, such as a media player (Media Player), a browser (Browser), etc., for implementing various application services. The time-based competitive relationship analysis system 3023 for shared electric motorcycles and public transportation is in this application. Figure 1 The system shown is used to implement the time-based competitive relationship analysis between shared electric motorcycles and public transportation. The program for implementing the method of the embodiment of the present application can be included in the application 3022, and can also be included in the time-based competitive relationship analysis system 3023 between shared electric motorcycles and public transportation.

[0093] The processor 301 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor 301 or an instruction in the form of software. The above-mentioned processor 301 may be a general-purpose processor, a digital signal processor (DSP, Digital Signal Processor), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The processor 301 can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present application. The general-purpose processor may be a microprocessor or any conventional processor, etc. In conjunction with the steps of the method disclosed in the embodiments of the present application, it can be directly embodied as a hardware decoding processor to execute, or it can be executed by a combination of hardware and software modules in the decoding processor. The software module may be located in a storage medium, which is located in the memory 302, and the processor 301 reads the information in the memory 302, and completes the steps of the above method in conjunction with its hardware.

[0094] In an exemplary embodiment, the time-based shared electric motorcycle and public transportation competition and cooperation relationship analysis device 300 can be implemented by one or more application-specific integrated circuits (ASIC, Application Specific Integrated Circuit), DSP, programmable logic device (PLD, Programmable Logic Device), complex programmable logic device (CPLD, Complex Programmable Logic Device), field programmable gate array (FPGA, Field-Programmable Gate Array), general-purpose processor, controller, microcontroller (MCU, Micro Controller Unit), microprocessor (Microprocessor), or other electronic components to execute the aforementioned method.

[0095] In an exemplary embodiment, the present application also provides a computer-readable storage medium, such as a memory 302 including a computer program, which can be executed by a processor 301 of a time-based competitive relationship analysis device 300 for shared electric motorcycles and public transportation to complete the steps of the aforementioned method. The computer-readable storage medium can be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface memory, optical disk, or CD-ROM; or it can be various devices including one or any combination of the above memories, such as a computer, a tablet device, a personal digital assistant, etc.

[0096] A computer-readable storage medium stores a computer program thereon. When the computer program is executed by a processor, the method for analyzing the time-based competitive relationship between shared electric motorcycles and public transportation suggested in the above-mentioned embodiment of the present application is executed.

[0097] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. In addition, the features disclosed in the several method or device embodiments provided in this application can be arbitrarily combined without conflict to obtain new method embodiments or device embodiments.

[0098] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A time-based competitive relationship analysis system between shared electric motorcycles and public transportation, characterized in that: The system comprises: Traffic travel data set, which is a traffic travel data resource used to analyze the competitive relationship between shared electric motorcycles and public transportation, including shared electric motorcycle travel order data and public transportation route data; A travel start-end pair extraction module, which extracts the high-frequency travel start-end pairs of shared electric motorcycles and the average riding time of these high-frequency travel start-end pairs from the shared electric motorcycle travel order data in the traffic travel data set; A public transportation search module, which searches for alternative public transportation routes for high-frequency travel start and end points of the shared electric motorcycle based on the public transportation route data in the traffic travel data set; a public transportation convenience determination module, which determines whether the public transportation convenience between the high-frequency travel start-end pair of the shared motorcycle is convenient or inconvenient based on the travel time length of the public transportation travel route for the alternative public transportation travel route; and A competitive relationship prompting module prompts whether the competitive relationship between the shared electric motorcycles and public transportation between the high-frequency travel starting and ending points is a complementary relationship or a competitive relationship based on the determination result of the convenience of public transportation travel between the high-frequency travel starting and ending points.

2. The time-based competitive relationship analysis system between shared electric motorcycles and public transportation according to claim 1 is characterized in that: The travel start-end point pair extraction module: The overall travel range of all travel orders in the shared electric motorcycle travel order data is divided into spatial grids with a fixed length of side length, All the travel orders in the shared motorcycle travel order data are mapped to the spatial grids respectively, and the starting point and the end point of each travel order fall within a certain grid of the spatial grid. Traverse all travel orders in the shared electric motorcycle travel order data, and count the grid pairs corresponding to the starting point and the end point of the travel order. Determine the high-frequency grid pairs whose count values ​​in the spatial grid are above a predetermined threshold as the high-frequency travel start-end pairs of the shared electric motorcycle, The average riding time in all travel order data occurring between the high-frequency grid pairs is calculated, and the average riding time is used as the average riding time of the high-frequency travel start-end pairs of the corresponding shared electric motorcycles.

3. The time-based competitive relationship analysis system between shared electric motorcycles and public transportation according to claim 1, characterized in that: The public transportation search module: Traverse all the high-frequency travel start-end pairs of the shared motorcycles, and determine whether there are public transportation stops near the start and end points of the high-frequency travel start-end pairs of the shared motorcycles based on the public transportation route data in the transportation travel data set. If there is a public transportation stop near the starting point and the end point of the high-frequency travel start-end pair of the shared electric motorcycle, the public transportation travel route is determined as an alternative public transportation travel route for the high-frequency travel start-end pair. If there are no public transportation stops near the starting point and the end point of the high-frequency travel starting and ending point pair of the shared electric motorcycle, it is determined that there is no alternative public transportation travel route for the high-frequency travel starting and ending point pair.

4. The time-based competitive relationship analysis system between shared electric motorcycles and public transportation according to claim 1, characterized in that: The public transportation convenience determination module: For the high-frequency travel start-end pair of the shared motorcycle for which there is no alternative public transportation travel route, it is determined that the public transportation travel of the high-frequency travel start-end pair is inconvenient, For the high-frequency travel starting and ending pairs of the shared electric motorcycles for which there are alternative public transportation travel routes, if the travel time of the alternative public transportation travel route is longer than the average riding time of the high-frequency travel starting and ending pairs by more than a threshold value, it is determined that public transportation travel between the high-frequency travel starting and ending pairs is inconvenient; otherwise, it is determined that public transportation travel is convenient.

5. The time-based competitive relationship analysis system between shared electric motorcycles and public transportation according to claim 4 is characterized in that: For the high-frequency travel starting and ending pairs of the shared electric motorcycles for which there are alternative public transportation travel routes, if the travel time of the alternative public transportation travel routes is more than three times the average riding time of the high-frequency travel starting and ending pairs, the public transportation convenience determination module determines that public transportation travel between the high-frequency travel starting and ending pairs is inconvenient; otherwise, it is determined that public transportation travel is convenient.

6. The time-based competitive relationship analysis system between shared electric motorcycles and public transportation according to claim 1, characterized in that: The competitive relationship prompt module: For all the high-frequency travel start-end pairs of the shared motorcycles that are determined to be inconvenient for public transportation, it is suggested that the competitive and cooperative relationship between the shared motorcycles and public transportation between the high-frequency travel start-end pairs is a complementary competitive and cooperative relationship. For all the high-frequency travel starting and ending pairs of the shared electric motorcycles that are determined to be convenient for public transportation, it is suggested that the competitive and cooperative relationship between the shared electric motorcycles and public transportation between the high-frequency travel starting and ending pairs is a competitive and cooperative relationship.

7. A time-based competitive relationship analysis method for shared electric motorcycles and public transportation, characterized in that: The method comprises: Constructing a traffic travel data set, which is a traffic travel data resource used for analyzing the competitive relationship between shared electric motorcycles and public transportation, including shared electric motorcycle travel order data and public transportation route data; Extracting high-frequency travel start-end pairs of shared electric motorcycles and the average riding time of these high-frequency travel start-end pairs from the shared electric motorcycle travel order data in the traffic travel data set; Based on the public transportation route data in the traffic travel data set, searching for alternative public transportation travel routes for the high-frequency travel start and end points of the shared electric motorcycle; For the alternative public transportation travel routes of the high-frequency travel start-end pairs of the shared motorcycles, based on the travel time length of the public transportation travel routes, determine whether the public transportation travel convenience between the high-frequency travel start-end pairs is public transportation convenient or public transportation inconvenient; and Based on the determination result of the convenience of public transportation between the high-frequency travel starting and ending points, it is suggested whether the competitive relationship between shared electric motorcycles and public transportation between the high-frequency travel starting and ending points is a complementary relationship or a competitive relationship.

8. The time-based competitive relationship analysis method between shared electric motorcycles and public transportation according to claim 7 is characterized in that: The steps of searching for alternative public transportation routes further include: Traversing all the high-frequency travel start-end pairs of the shared motorcycles, and determining whether there are public transportation stops near the start and end points of the high-frequency travel start-end pairs of the shared motorcycles based on the public transportation route data in the transportation travel data set; If there is a public transportation stop near the starting point and the end point of the high-frequency travel start-end pair of the shared motorcycle, then the public transportation travel route is determined as an alternative public transportation travel route for the high-frequency travel start-end pair; and If there are no public transportation stops near the starting point and the end point of the high-frequency travel starting and ending point pair of the shared electric motorcycle, it is determined that there is no alternative public transportation travel route for the high-frequency travel starting and ending point pair.

9. The time-based competitive and cooperative relationship analysis method between shared electric motorcycles and public transportation according to claim 7, characterized in that: The step of determining whether the public transportation travel convenience between the high-frequency travel start-end point pair is convenient public transportation travel or inconvenient public transportation travel further includes: For a high-frequency travel start-end pair of the shared motorcycle for which there is no alternative public transportation travel route, determining that public transportation travel for the high-frequency travel start-end pair is inconvenient; and For the high-frequency travel starting and ending pairs of the shared electric motorcycles for which there are alternative public transportation travel routes, if the travel time of the alternative public transportation travel route is longer than the average riding time of the high-frequency travel starting and ending pairs by more than a threshold value, it is determined that public transportation travel between the high-frequency travel starting and ending pairs is inconvenient; otherwise, it is determined that public transportation travel is convenient.

10. The time-based competitive and cooperative relationship analysis method between shared electric motorcycles and public transportation according to claim 7, characterized in that: Steps to indicate whether the competitive relationship between shared electric motorcycles and public transportation between high-frequency travel origin and destination pairs is a complementary relationship or a competitive relationship further include: For all the high-frequency travel start-end pairs of the shared motorcycles that are determined to be inconvenient for public transportation, it is suggested that the competitive and cooperative relationship between the shared motorcycles and public transportation between the high-frequency travel start-end pairs is a supplementary competitive and cooperative relationship; and For all the high-frequency travel starting and ending pairs of the shared electric motorcycles that are determined to be convenient for public transportation, it is suggested that the competitive and cooperative relationship between the shared electric motorcycles and public transportation between the high-frequency travel starting and ending pairs is a competitive and cooperative relationship.

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