CN116503098B

CN116503098B - Mining method, mining device, computer equipment and storage medium for shared vehicle station

Info

Publication number: CN116503098B
Application number: CN202310764188.6A
Authority: CN
Inventors: 刘璇恒; 刘永威; 刘思喆
Original assignee: Beijing Apoco Blue Technology Co ltd
Current assignee: Beijing Apoco Blue Technology Co ltd
Priority date: 2023-06-27
Filing date: 2023-06-27
Publication date: 2023-11-14
Anticipated expiration: 2043-06-27
Also published as: CN116503098A

Abstract

The application relates to a mining method, a mining device, computer equipment and a storage medium for a shared vehicle station. The method comprises the following steps: determining a plurality of subareas contained in the target area; determining population driving contribution values of the subareas according to preset age groups, population information of the subareas and driving information of the target areas for each subarea; determining the interest point running contribution value of the subarea according to the interest point information and the order information of the target area and the interest point information of the subarea; calculating a comprehensive running contribution value of the subarea based on the population running contribution value of the subarea and the interest point running contribution value of the subarea; selecting a target subarea in each subarea based on the comprehensive running contribution value of each subarea; the target subregion is used for building a new shared vehicle station. The method can improve the excavation efficiency of the station of the shared vehicle.

Description

Mining method, mining device, computer equipment and storage medium for shared vehicle station

Technical Field

The present application relates to the field of artificial intelligence technology, and in particular, to a method, an apparatus, a computer device, a storage medium, and a computer program product for mining a shared vehicle station.

Background

As sharing economies develop, sharing vehicles are entering more and more cities. Shared vehicles have become important short-haul urban vehicles. In order to meet the increasing demands of users of shared vehicles, efficient layout and construction of stations of the shared vehicles are required, and new stations of the shared vehicles are excavated and constructed based on existing stations of the shared vehicles.

The related mining method of the shared vehicle station is to manually select station test points by means of personal experience and intuition, and judge whether the station test points are potential hot spot stations or not. Therefore, the related excavation method of the shared vehicle station requires a lot of time and effort, and is inefficient.

Disclosure of Invention

In view of the foregoing, it is desirable to provide a method, apparatus, computer device, computer-readable storage medium, and computer program product for mining a shared vehicle station that can improve efficiency.

In a first aspect, the present application provides a method of mining a shared vehicle station. The method comprises the following steps:

Determining a plurality of subareas contained in the target area;

determining population driving contribution values of the subareas according to preset age groups, population information of the subareas and driving information of the target areas for each subarea;

determining the interest point running contribution value of the subarea according to the interest point information and the order information of the target area and the interest point information of the subarea;

calculating a comprehensive running contribution value of the subarea based on the population running contribution value of the subarea and the interest point running contribution value of the subarea;

selecting a target subarea in each subarea based on the comprehensive running contribution value of each subarea; the target subregion is used for building a new shared vehicle station.

In one embodiment, the determining the population driving contribution value of the sub-region according to the preset age groups, the population information of the sub-region, and the driving information of the target region includes:

determining the average daily driving frequency corresponding to each age group according to the driving information of the target area in the preset first historical time period and the preset age groups;

Calculating the driving contribution value of the age group corresponding to each age group according to the average daily driving frequency corresponding to each age group;

determining the number of users of each age group in the subarea according to population information of the subarea;

and determining population driving contribution values of the subareas according to the number of users in each age group in the subareas and the driving contribution values of the age groups corresponding to each age group.

In one embodiment, the determining the number of users in the sub-area according to the population information of the sub-area includes:

determining a neighbor sub-region adjacent to the sub-region in first order, and forming a reference region by the sub-region and the neighbor sub-region;

determining the number of users in each age group in the reference area according to the user information of the reference area and each age group;

calculating the proportion of users in the reference area in each age group according to the number of users in the reference area in each age group;

and determining the number of users in each age group in the subarea according to the proportion of the users in each age group in the reference area and the population information of the subarea.

In one embodiment, the interest point information includes the number of various interest points, and determining the interest point running contribution value of the sub-region according to the interest point information and the order information of the target region and the interest point information of the sub-region includes:

determining each target interest point contained in each class of interest points according to each class of interest points, and determining an interest point station corresponding to each target interest point according to the position information of each target interest point and the position information of each station in the target area;

taking the sum of the order numbers of the interest point stations in a preset second historical time period as the order number of the interest points, and taking the sum of the order numbers of the interest points as the total order amount of the interest points in the target area;

aiming at each type of interest point, calculating a running contribution value of the type of interest point according to the order quantity of the type of interest point and the order total quantity of various interest points in the target area;

and determining the interest point running contribution value of the subarea according to the running contribution value of each type of interest point and the number of each type of interest points of the subarea.

In one embodiment, the selecting the target sub-area in each sub-area based on the comprehensive running contribution value of each sub-area includes:

determining the number of sub-region groups according to the population number of the target region and a preset sub-region group number determining rule;

sequencing all the subareas according to the order of population from big to small to obtain a subarea sequence;

dividing the subarea sequence into subarea groups of the subarea group number;

and selecting a target subarea from all subareas in the subarea group according to the comprehensive running contribution value of all subareas in the subarea group aiming at each subarea group.

In one embodiment, the selecting the target sub-region from each sub-region in the sub-region group based on the comprehensive running contribution value of each sub-region in the sub-region group includes:

sequencing the subarea groups according to the sequence from the large population number to the small population number to obtain group serial numbers corresponding to the subarea groups;

determining the selection proportion corresponding to each sub-region group according to the group serial number corresponding to each sub-region group;

sequencing all the subareas in the subarea group according to the sequence of the comprehensive running contribution value from large to small aiming at each subarea group to obtain the sequence number in the group corresponding to each subarea in the subarea group;

And determining the target intra-group sequence number of the selection ratio before the sub-region group, and taking the sub-region with the intra-group sequence number being the target intra-group sequence number as the target sub-region in the sub-region group.

In one embodiment, the determining, according to the group sequence number corresponding to each of the sub-region groups, a selection ratio corresponding to each of the sub-region groups includes:

determining a first selection proportion corresponding to the first sub-region group and a second selection proportion corresponding to the last sub-region group;

calculating a proportion tolerance according to the first selection proportion, the second selection proportion and the number of the subarea groups;

and for each sub-region group, calculating the selection proportion corresponding to the sub-region group according to the first selection proportion, the proportion tolerance and the group serial number corresponding to the sub-region group.

In a second aspect, the application also provides an excavating device for a shared vehicle station. The device comprises:

a first determining module, configured to determine a plurality of sub-areas included in the target area;

the second determining module is used for determining population running contribution values of the subareas according to preset age groups, population information of the subareas and running information of the target areas for each subarea;

The third determining module is used for determining the interest point running contribution value of the subarea according to the interest point information and the order information of the target area and the interest point information of the subarea;

the calculation module is used for calculating the comprehensive running contribution value of the subarea based on the population running contribution value of the subarea and the interest point running contribution value of the subarea;

the selecting module is used for selecting a target subarea in each subarea based on the comprehensive running contribution value of each subarea; the target subregion is used for building a new shared vehicle station.

In one embodiment, the second determining module is specifically configured to:

In one embodiment, the point of interest information includes the number of various types of points of interest, and the third determining module is specifically configured to:

In one embodiment, the selecting module is specifically configured to:

dividing the subarea sequence into subarea groups of the subarea group number;

In one embodiment, the selecting module is specifically configured to:

In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the steps of the first aspect described above when the processor executes the computer program.

In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the first aspect described above.

In a fifth aspect, the present application also provides a computer program product. The computer program product comprising a computer program which, when executed by a processor, carries out the steps of the first aspect described above.

The above mining method, device, computer equipment, storage medium and computer program product for a shared vehicle station determine a plurality of sub-areas contained in a target area; determining population driving contribution values of the subareas according to preset age groups, population information of the subareas and driving information of the target areas for each subarea; determining the interest point running contribution value of the subarea according to the interest point information and the order information of the target area and the interest point information of the subarea; calculating a comprehensive running contribution value of the subarea based on the population running contribution value of the subarea and the interest point running contribution value of the subarea; selecting a target subarea in each subarea based on the comprehensive running contribution value of each subarea; the target subregion is used for building a new shared vehicle station. In this way, the target area is divided into a plurality of subareas, population running contribution values of the subareas are determined according to population information of the subareas, running information of the target area and preset age groups, interest point running contribution values of the subareas are determined according to interest point information and order information of the target area and interest point information of the subareas, comprehensive running contribution values of the subareas are calculated based on the population running contribution values and the interest point running contribution values, and target subareas for building new sharing vehicle stations are automatically selected in the subareas based on the comprehensive running contribution values of the subareas, personal experience and intuition are not needed, the time consumption is short, and the mining efficiency of the sharing vehicle stations can be improved.

Drawings

FIG. 1 is a flow diagram of a method of mining a shared vehicle station in one embodiment;

FIG. 2 is a flow diagram of the step of determining demographic travel contribution values for a sub-region in one embodiment;

FIG. 3 is a flowchart illustrating steps for determining the number of users in each age group in a sub-area according to one embodiment;

FIG. 4 is a schematic diagram of neighbor sub-regions in one embodiment;

FIG. 5 is a flow chart illustrating the steps of determining a point of interest travel contribution value for a sub-region in one embodiment;

FIG. 6 is a flow chart of a step of selecting a target sub-region among sub-regions according to one embodiment;

FIG. 7 is a flow chart illustrating a step of selecting a target sub-region from each sub-region in a sub-region group according to one embodiment;

FIG. 8 is a flowchart illustrating a step of determining a selection ratio corresponding to each sub-region group according to an embodiment;

FIG. 9 is a block diagram of an excavating device sharing a vehicle station in one embodiment;

fig. 10 is an internal structural view of a computer device in one embodiment.

Detailed Description

The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

In one embodiment, as shown in fig. 1, a method for mining a station of a shared vehicle is provided, and this embodiment is applied to a terminal for illustration, it is understood that the method may also be applied to a server, and may also be applied to a system including the terminal and the server, and implemented through interaction between the terminal and the server. The terminal can be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things equipment and portable wearable equipment, and the internet of things equipment can be smart speakers, smart televisions, smart air conditioners, smart vehicle-mounted equipment and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server may be implemented as a stand-alone server or as a server cluster composed of a plurality of servers. In this embodiment, the method includes the steps of:

step 101, determining a plurality of sub-areas contained in the target area.

In the embodiment of the application, the terminal determines a plurality of sub-areas contained in the target area. The target area is an area to be determined by the shared vehicle station. The target area may be an area where the shared vehicle resides. The target delivery area can be a city or other forms of areas to be determined by sharing the vehicle station. The shared vehicle is a vehicle sharing economy, and can be a shared bicycle, a shared electric bicycle and a shared automobile. The sub-region is part of the target region. The sub-regions may be of uniform shape and of uniform size. The shape of the sub-regions may be regular, for example square and hexagonal. The size of the sub-regions may be 2000m ² -4000m ² 。

In one example, the terminal divides the target area into a plurality of sub-areas according to a preset sub-area division rule. The subarea dividing rule is a rule for dividing the target area. Different target areas may correspond to different sub-area division rules, or may correspond to the same sub-area division rules. The subregion division rule may be a spatial index algorithm. For example, the subregion division rules may be a Geohash algorithm, a mercator projection algorithm, a Google S2 geographic indexing algorithm, a hexagonal hierarchical index grid system algorithm, a Uber H3 algorithm.

In one example, the terminal queries a sub-region division rule corresponding to the target region in a mapping relationship between a preset region and the sub-region division rule. Then, the terminal adopts a subarea division rule corresponding to the target area to divide the target area into a plurality of subareas.

In one example, the terminal divides the target area into a plurality of square sub-areas with an area size of 50m by 50 m.

Step 102, determining, for each sub-region, a population driving contribution value of the sub-region according to preset age groups, population information of the sub-region and driving information of a target region.

In the embodiment of the application, for each sub-area, the terminal determines the population traveling contribution value of the sub-area according to the preset age groups, the population information of the sub-area and the traveling information of the target area. The age bracket is the age bracket of the shared vehicle user. For example, each age group may be 16-23 years old, 24-30 years old, 31-40 years old, 41-50 years old, and 51-100 years old. The population information may be living population information. The population information includes population numbers. The travel information is travel information of a user sharing the vehicle. The travel information includes the user, the age of the user, and the number of times the user travels. The population travel contribution value may be used to indicate a degree of contribution of the population size of a subarea to the travel orders of the shared vehicles in the subarea, or may be used to indicate a degree of the number of the travel orders of the shared vehicles that can be achieved by assuming that the subarea establishes a shared vehicle station.

And step 103, determining the interest point running contribution value of the subarea according to the interest point information and the order information of the target area and the interest point information of the subarea.

In the embodiment of the application, the terminal determines the running contribution value of the interest point of the subarea according to the interest point information and the order information of the target area and the interest point information of the subarea.

The interest point information is information related to the interest point. The points of interest (Point of Interest/Point of Information, POI) are any non-geographically significant points on the map. For example, points of interest may be shops, banks, and gas stations. The point of interest information includes points of interest, types of points of interest, locations of points of interest, and the number of points of interest. The interest point running contribution value may be used to indicate the contribution degree of the interest point in the sub-area to the running order of the shared vehicle in the sub-area, and may also be used to indicate the degree of the number of running orders of the shared vehicle that can be achieved by means of the interest point in the sub-area assuming that the sub-area sets up the station of the shared vehicle.

Step 104, calculating the comprehensive running contribution value of the subarea based on the population running contribution value of the subarea and the interest point running contribution value of the subarea.

In the embodiment of the application, the terminal calculates the comprehensive running contribution value of the subarea based on the population running contribution value of the subarea and the interest point running contribution value of the subarea. The comprehensive driving contribution value may be used to indicate a contribution degree of a regional situation (including population size and interest point) in the subarea to a driving order of the shared vehicle in the subarea, and may also be used to indicate a number degree of driving orders of the shared vehicle which can be achieved by assuming that the subarea establishes a station of the shared vehicle.

In one example, the terminal adds the population travel contribution value of the sub-region to the interest point travel contribution value of the sub-region to obtain a composite travel contribution value of the sub-region.

In one example, the terminal normalizes the population driving contribution value of the sub-region and the interest point driving contribution value of the sub-region, respectively. And then, the terminal adds the population running contribution value of the subarea after normalization processing and the interest point running contribution value of the subarea after normalization processing to obtain the comprehensive running contribution value of the subarea.

Step 105, selecting a target subarea from each subarea based on the comprehensive running contribution value of each subarea.

The target subarea is used for building a new shared vehicle station.

In the embodiment of the application, the terminal selects a target subarea from each subarea based on the comprehensive running contribution value of each subarea.

In one example, the terminal compares the integrated travel contribution value of each sub-region with a preset integrated travel contribution value threshold value, respectively. Then, the terminal takes the subarea with the comprehensive running contribution value larger than or equal to the preset comprehensive running contribution value threshold value as a target subarea.

In one example, the terminal sorts the sub-regions in order of the comprehensive driving contribution value from large to small, and obtains a ranking corresponding to each sub-region. Then, the terminal multiplies the number of each sub-region by a preset first screening proportion to obtain a selected number. The terminal then takes the selected number as a selected rank. Then, the terminal takes the subareas with the rank smaller than or equal to the selected rank as target subareas. Wherein the first screening proportion is a proportion of screening the target subregion from each subregion in the target region. The selected number is the number of target subregions selected from each subregion in the target region. The rank name is selected as the last rank of the rank of selecting the target subregion from the subregions in the target region.

In the method for excavating the shared vehicle station, a plurality of subareas contained in a target area are determined; determining population driving contribution values of the subareas according to preset age groups, population information of the subareas and driving information of the target areas for each subarea; determining the interest point running contribution value of the subarea according to the interest point information and the order information of the target area and the interest point information of the subarea; calculating the comprehensive running contribution value of the subarea based on the population running contribution value of the subarea and the interest point running contribution value of the subarea; selecting a target subarea in each subarea based on the comprehensive running contribution value of each subarea; the target subregion is used for building a new shared vehicle station. In this way, the target area is divided into a plurality of subareas, population running contribution values of the subareas are determined according to population information of the subareas, running information of the target area and preset age groups, interest point running contribution values of the subareas are determined according to interest point information and order information of the target area and interest point information of the subareas, comprehensive running contribution values of the subareas are calculated based on the population running contribution values and the interest point running contribution values, and target subareas for building new sharing vehicle stations are automatically selected in the subareas based on the comprehensive running contribution values of the subareas, personal experience and intuition are not needed, the time consumption is short, and the mining efficiency of the sharing vehicle stations can be improved. In addition, the contribution degree of the running orders of the shared vehicles in the subarea and the contribution degree of the interest points of the subarea to the running orders of the shared vehicles in the subarea can be comprehensively evaluated through the population scale of the subarea, the contribution degree of the new shared vehicle station established in the subarea to the running orders of the shared vehicles can be comprehensively evaluated, whether the new shared vehicle station is established in a certain subarea is judged, the actual situation is more met, the scientificity is realized, and the mining accuracy of the shared vehicle station can be improved.

In one embodiment, as shown in fig. 2, the specific process of determining the population driving contribution value of the sub-region according to the preset age groups, the population information of the sub-region and the driving information of the target region includes the following steps:

step 201, determining the average daily driving frequency corresponding to each age group according to the driving information of the target area in the preset first historical time period and the preset age groups.

In the embodiment of the application, the terminal determines the average daily driving frequency corresponding to each age group according to the driving information of the target area in the preset first historical time period and the preset age groups. Wherein the first historical time period is a certain time period in the past. The first historical period of time may include a plurality of days in the past. For example, the first historical period of time may be approximately 30 days in the past. The average daily travel frequency is the number of times the user of the shared vehicle travels on average per day.

Specifically, for each preset age group, the terminal obtains the number of times of traveling of the user in the age group in the target area in the preset first history time period. Then, the terminal divides the running times of the user in the age group by the first historical time period to obtain the average running frequency of the user in the age group.

Step 202, calculating the age group travel contribution value corresponding to each age group according to the average daily travel frequency corresponding to each age group.

In the embodiment of the application, the terminal adds the average daily driving frequency corresponding to each age group to obtain the average daily driving frequency total value corresponding to the target area. Then, for each age group, the terminal calculates the ratio of the average daily driving frequency corresponding to the age group to the average daily driving frequency total value corresponding to the target area, and obtains the age group driving contribution value corresponding to the age group. The age group running contribution value is a proportion of the contribution of the user of the shared vehicle in one age group to the running order of the shared vehicle in each age group to the contribution of the user of the shared vehicle in the shared vehicle, and represents the contribution degree of the user of the shared vehicle in one age group to the running order of the shared vehicle.

In one embodiment, each age group is 16-23 years old, 24-30 years old, 31-40 years old, 41-50 years old, and 51-100 years old, and the corresponding daily average driving frequency for each age group is 1.8 times, 2.5 times, 4.1 times, 3.2 times, and 1.1 times, respectively. The driving contribution value of the age group corresponding to the age group 16-23 years of the terminal calculation can be expressed as: 1.8/(1.8+2.5+4.1+3.2+1.1) = 0.1417. Wherein, the driving contribution value of the age group corresponding to the age group 16-23 years is 0.1417.

Step 203, determining the number of users in each age group in the subarea according to the population information of the subarea.

In the embodiment of the application, the terminal determines the number of users in each age group in the subarea according to the population information of the subarea. The number of users is the number of users sharing the vehicle, a predicted value of the number of users sharing the vehicle is set up for the assumption of the subarea, and the number of potential users sharing the vehicle is set up for the assumption of the subarea.

In one example, for each age group, the terminal divides the number of users in the target area for that age group by the number of people in the target area for that age group to obtain the area user ratio corresponding to that age group. And then, the terminal multiplies the population number of the age group in the subarea by the user proportion of the area corresponding to the age group to obtain the user number of the age group in the subarea. The regional user proportion is the proportion of users in the target region to the population of residents.

And 204, determining population driving contribution values of the subareas according to the number of users in each age group in the subareas and the driving contribution values of the age groups corresponding to each age group.

In the embodiment of the application, for each age group, the terminal multiplies the number of users in the age group in the subarea by the age group running contribution value corresponding to the age group to obtain the total age group running contribution value corresponding to the age group in the subarea. And then, the terminal calculates population driving contribution values in the subareas according to the total driving contribution values of the age groups corresponding to the age groups in the subareas. The total age-group running contribution value is the total contribution degree of all users of the shared vehicles in one age group in the subarea to the running order of the shared vehicle.

In one example, the terminal adds the total age group travel contribution values corresponding to the respective age groups in the sub-region, and calculates the population travel contribution value in the sub-region.

In one example, the terminal adds the number of users of each age group in the sub-area to obtain the total number of users in the sub-area. Then, the terminal adds the total value of the traveling contributions of the age groups corresponding to the age groups in the sub-area. Then, the terminal will obtain the sum divided by the total number of users in the subarea to obtain the population driving contribution value in the subarea.

In the method for excavating the shared vehicle station, the average daily driving frequency corresponding to each age group is determined according to the driving information of the target area in the preset first historical time period and the preset age groups; calculating the driving contribution value of the age group corresponding to each age group according to the average daily driving frequency corresponding to each age group; determining the number of users in each age group in the subarea according to population information of the subarea; and determining population driving contribution values of the subareas according to the number of users in each age group in the subareas and the driving contribution values of the age groups corresponding to each age group. In this way, the daily average driving frequency of each age group is estimated through the driving information in the first historical time period, the driving contribution value of the age group corresponding to each age group is calculated based on the estimated value of the daily average driving frequency of each age group, the potential user number of each age group in the subarea is estimated according to the population information of the subarea, the population driving contribution value of the subarea is determined based on the driving contribution value of the age group corresponding to each age group and the estimated value of the potential user number of each age group in the subarea, and the different contributions of each age group to the driving order are estimated by dividing the shared vehicle users according to the age groups, so that not only the different contributions of the different population numbers to the driving order but also the different contributions of the driving order by different age distributions are considered when the population contribution value of the subarea is estimated, the comprehensive consideration is more in accordance with the actual situation, the mining accuracy of the shared vehicle station can be further improved.

In one embodiment, as shown in fig. 3, the specific process of determining the number of users in each age group in the sub-area according to the population information of the sub-area includes the following steps:

step 301, determining a neighbor sub-region adjacent to the sub-region in first order, and forming the sub-region and the neighbor sub-region into a reference region.

In the embodiment of the application, the terminal determines the neighbor subarea adjacent to the subarea in the first order. The terminal then constructs the sub-region and each neighbor sub-region into a reference region. The first-order adjacent is that the two sub-areas are directly adjacent, and the two sub-areas have a common boundary.

In one example, the subregions are hexagonal subregions, with 6 neighbor subregions of the subregions.

Step 302, determining the number of users in each age group in the reference area according to the user information of the reference area and each age group.

In the embodiment of the application, the terminal counts the number of users in each age group in the reference area according to the user information of the reference area and each age group.

Step 303, calculating the proportion of users in each age group in the reference area according to the number of users in each age group in the reference area.

In the embodiment of the application, the terminal adds the number of the users in each age group in the reference area to obtain the total number of the users in the reference area. Then, for each age group, the terminal divides the number of users in the reference area for the age group by the total number of users in the reference area to obtain the proportion of users in the reference area for the age group. The user proportion of the age group is the proportion of the shared vehicle users of the same age group to all the shared vehicle users.

Step 304, determining the number of users in each age group in the subarea according to the proportion of users in each age group in the reference area and the population information of the subarea.

In the embodiment of the application, for each age group, the terminal multiplies the user proportion of the age group in the reference area by the population number of the subareas to obtain the user number of the age group in the subareas.

In one embodiment, as shown in FIG. 4, the subregions are square subregions, and the neighbor subregions of subregion 1 are subregions 2-9, for a total of 8. The terminal forms the reference area with the sub-area 1 and each neighbor sub-area 2-9. The number of users in each age group in the reference area is respectively as follows: the total number of users in the reference area is 100, and the proportion of users in each age range in the reference area is 10%, 30%, 20% and 20% respectively, wherein the total number of users in the reference area is 100, and the total number of users in the reference area is 16-23 years old 10, 24-30 years old 30, 31-40 years old 20, 41-50 years old 20 and 51-100 years old 20. The population number of subarea 1 is 1000, and the number of users aged 16-23 years in subarea is 1000 x 10% = 100. The number of users in the sub-area at other ages is similar to the determination of the number of users in the sub-area at ages 16-23.

In the mining method of the shared vehicle station, determining a neighbor sub-region adjacent to the sub-region in the first order, and forming a reference region by the sub-region and the neighbor sub-region; determining the number of users in each age group in the reference area according to the user information of the reference area and each age group; calculating the proportion of users in each age group in the reference area according to the number of users in each age group in the reference area; and determining the number of users in each age group in the subarea according to the proportion of the users in each age group in the reference area and the population information of the subarea. In this way, the number of users in each age group in the reference area is determined through the user information which is easy to obtain, the proportion of users in each age group in the reference area is calculated, the population in the subarea is assumed to be potential users, the number of users in each age group in the subarea is estimated based on the proportion of users in each age group in the reference area and the population number of the subarea, and the number of users in each age group in the subarea is estimated under the condition that the population information does not include population age, namely, the population age or population distribution is unknown. In addition, most areas of the city are unlikely to have order behaviors of users, such as most cells, office buildings, malls and parks, and the single area is small in range, so that data is easy to deviate.

In one embodiment, the interest point information includes the number of various interest points, as shown in fig. 5, and the specific process of determining the running contribution value of the interest point of the sub-area according to the interest point information and the order information of the target area and the interest point information of the sub-area includes the following steps:

step 501, determining each target interest point contained in each class of interest point, and determining an interest point station corresponding to each target interest point according to the position information of each target interest point and the position information of each station in the target area.

In the embodiment of the application, aiming at each type of interest point, the terminal determines each target interest point contained in the type of interest point in the target area. Then, for each target interest point, the terminal calculates the distance between the target interest point and each station according to the position information of the target interest point and the position information of each station in the target area. Then, the terminal takes the station closest to the target interest point as the interest point station corresponding to the target interest point. The interest point station is the station closest to the corresponding interest point. The point of interest stations corresponding to different points of interest may be the same.

Step 502, taking the sum of the order numbers of the interest points in the preset second historical time period as the order number of the interest points, and taking the sum of the order numbers of the interest points as the total order amount of the interest points in the target area.

In the embodiment of the application, the terminal takes the sum of the order numbers of the stations of all the interest points in the preset second historical time period as the order number of the interest points. And then, the terminal takes the sum of the order numbers of the various interest points as the total order amount of the various interest points in the target area. Wherein the second historical period of time may include a plurality of days in the past. For example, the second history period is a certain period of time that has elapsed. The second historical period may be the same as the first historical period. For example, the first historical period and the second historical period may each be approximately 30 days in the past.

Step 503, for each type of interest point, calculating a running contribution value of the type of interest point according to the order quantity of the type of interest point and the order total quantity of various interest points in the target area.

In the embodiment of the application, aiming at each type of interest point, the terminal calculates the ratio of the order quantity of the type of interest point to the total order quantity of all types of interest points in the target area to obtain the running contribution value of the type of interest point. The running contribution value of the interest points is the proportion of the contribution of the user of the sharing vehicle of the interest points to the running order of the sharing vehicle to the contribution of the user of the sharing vehicle of the interest points to the running order of the sharing vehicle, and represents the contribution degree of the user of the sharing vehicle of the interest points to the running order of the sharing vehicle.

And step 504, determining the running contribution value of the interest point of the subarea according to the running contribution values of various interest points and the number of various interest points of the subarea.

In the embodiment of the application, aiming at each type of interest point, the terminal multiplies the number of users of the type of interest point in the subarea by the running contribution value of the type of interest point to obtain the running contribution total value of the type of interest point in the subarea. And then, the terminal calculates the running contribution value of the interest point in the subarea according to the running contribution total value of various interest points in the subarea. The total running contribution value of the interest points is the total contribution degree of the interest points in the subarea to the running order of the sharing vehicle.

In one example, the terminal adds the running contribution total values of various interest points in the sub-region to obtain the running contribution value of the interest point in the sub-region.

In one example, the terminal adds the number of various types of interest points to obtain the total number of interest points of the sub-region. Then, the terminal adds the running contribution total values of various interest points in the sub-area. Then, the terminal obtains and divides the sum of the interest points of the subareas to obtain the running contribution value of the interest points in the subareas.

In the method for mining the shared vehicle stations, each target interest point contained in each class of interest point is determined, and the interest point station corresponding to each target interest point is determined according to the position information of each target interest point and the position information of each station in the target area; taking the sum of the order numbers of the interest point stations in a preset second historical time period as the order number of the interest points, and taking the sum of the order numbers of the interest points as the total order amount of the interest points in the target area; aiming at each type of interest point, calculating the running contribution value of the type of interest point according to the order quantity of the type of interest point and the order total quantity of various interest points in the target area; and determining the running contribution value of the interest points of the subarea according to the running contribution values of the interest points and the number of the interest points of the subarea. In this way, firstly, the station closest to each interest point is determined and used as the interest point station of the interest point, the order quantity of the interest point station of each type of interest point is calculated, then the order quantity of the interest point stations of various types of interest points is added to obtain the total order quantity, the running contribution value of the type of interest point is calculated according to the proportion of the order quantity of the type of interest point to the total order quantity, the running contribution value of the interest point of each type of interest point and the quantity of the interest points of the subarea are determined, the actual order quantity is not calculated when the total order quantity is calculated, and the repeated calculation of the order which is possibly caused by a plurality of interest points being simultaneously used as the interest point station is considered, so that the repeated calculation of the order is correspondingly performed, the possible occurrence of errors is avoided, the actual situation is more met, and the mining accuracy of the shared vehicle station can be further improved.

In one embodiment, as shown in fig. 6, based on the comprehensive running contribution value of each sub-region, the specific process of selecting the target sub-region in each sub-region includes the following steps:

and 601, determining the number of sub-area groups according to the population number of the target area and a preset sub-area group number determining rule.

In the embodiment of the application, the terminal determines the number of the subarea groups according to the population number of the target area and the preset subarea group number determination rule. Wherein the number of sub-area groups is the number of sub-area groups. The sub-region group is composed of at least one sub-region. The number of sub-regions within different sub-region groups may be the same or different.

In one example, the terminal divides the population number of the target area by a preset unit value to obtain a target value of the target area. The terminal then squares the target value of the target area. If the target value of the target area is an integer, the terminal uses the integer as the number of sub-area groups. If the target value of the target area is squared to obtain the decimal, the terminal rounds the decimal upwards to obtain the number of the subarea groups. Wherein, the unit value can be 1 ten thousand.

In one embodiment, the population of the target area is 100 ten thousand and the sub-area group number is = (1000000/10000) ^1/2 =10。

In one embodiment, the population of the target area is 1000 ten thousand (10000000/10000) ^1/2 Approximately 31.6, terminal pairs 31.6 are rounded up, resulting in a number of sub-region groups of 32.

Step 602, sequencing all the subareas according to the order of population number from large to small to obtain a subarea sequence.

In the embodiment of the application, the terminal orders the subareas according to the order of population number from large to small to obtain the subarea sequence.

Step 603, dividing the sub-region sequence into sub-region groups of the sub-region group number.

In the embodiment of the application, the terminal divides the sub-region sequence into sub-region groups of the sub-region group number.

In one example, the terminal equally divides the sub-region sequence into a plurality of sub-region groups by the number of sub-region groups.

Step 604, selecting a target subarea from all subareas in each subarea group based on the comprehensive running contribution value of all subareas in the subarea group for each subarea group.

In the embodiment of the application, aiming at each sub-region group, the terminal selects a target sub-region from all sub-regions in the sub-region group based on the comprehensive running contribution value of all sub-regions in the sub-region group.

In one example, for each sub-region group, the terminal orders the sub-regions in the sub-region group according to the order of the comprehensive running contribution value from large to small, and obtains the intra-group sequence numbers corresponding to the sub-regions in the sub-region group. Then, the terminal determines a target intra-group sequence number of a second screening proportion preset before the sub-region group. Then, the terminal takes the sequence number in the group as the sub-region of the sequence number in the target group as the target sub-region in the sub-region group. Wherein the second screening proportion is a proportion of screening target subregions from each subregion in the subregion group. The second screening ratio of the different sub-region groups may be the same or different.

In the mining method of the shared vehicle station, the number of the subarea groups is determined according to the population number of the target area and the preset subarea group number determining rule; sequencing all the subareas according to the sequence of population from big to small to obtain a subarea sequence; dividing the subarea sequence into subarea groups of subarea group number; for each sub-region group, selecting a target sub-region from the sub-regions in the sub-region group based on the comprehensive driving contribution value of the sub-regions in the sub-region group. In this way, in the process of calculating the comprehensive running contribution value, due to the difference of the orders of magnitude of the population running contribution value and the interest point running contribution value or the difference of the orders of magnitude of the intermediate quantities of the population running contribution value and the interest point running contribution value, the method performs normalization processing to ignore the population quantity, but the influence of the population quantity on the station is very important.

In one embodiment, as shown in fig. 7, the specific process of selecting the target subarea in each subarea in the subarea group based on the comprehensive running contribution value of each subarea in the subarea group includes the following steps:

and step 701, sequencing all the subarea groups according to the order of population number from large to small to obtain group serial numbers corresponding to all the subarea groups.

In the embodiment of the application, the terminal sorts the sub-region groups according to the sequence from the large population number to the small population number to obtain the group serial numbers corresponding to the sub-region groups. Wherein the group sequence number is the sequence number of the sub-group of regions.

Step 702, determining a selection proportion corresponding to each sub-region group according to the group serial number corresponding to each sub-region group.

In the embodiment of the application, the terminal determines the selection proportion corresponding to each sub-region group according to the group serial number corresponding to each sub-region group.

In one example, for each sub-region group, the terminal queries, according to the group sequence number of the sub-region group, a selection ratio corresponding to the sub-region group in a mapping relationship between a preset group sequence number and the selection ratio.

In one example, for each sub-region group, the terminal queries the selection proportion corresponding to the sub-region group in a mapping relation of the preset sub-region group number, the group sequence number and the selection proportion according to the sub-region group number and the group sequence number of the sub-region group.

Step 703, for each sub-area group, ordering each sub-area in the sub-area group according to the order of the comprehensive running contribution value from large to small, and obtaining the intra-group sequence number corresponding to each sub-area in the sub-area group.

In the embodiment of the application, aiming at each sub-area group, the terminal sequences each sub-area in the sub-area group according to the sequence from the large to the small of the comprehensive running contribution value, and obtains the sequence number in the group corresponding to each sub-area in the sub-area group. Wherein the sequence number in the group is the sequence number of each sub-region in a sub-region group.

Step 704, determining the target intra-group sequence number of the proportion before the sub-region group, and taking the intra-group sequence number as the sub-region of the target intra-group sequence number as the target sub-region in the sub-region group.

In the embodiment of the application, the terminal determines the sequence number in the target group of the front selection proportion of the sub-region group. Then, the terminal takes the sequence number in the group as the sub-region of the sequence number in the target group as the target sub-region in the sub-region group. Specifically, the terminal determines the total number of sub-regions within the sub-region group. And then, the terminal multiplies the total number of the subareas in the subarea group by the selection proportion corresponding to the subareas to obtain the selection quantity corresponding to the subarea group. And then, terminating the selection quantity corresponding to the sub-region group as a selection ranking. Then, the terminal uses the intra-group sequence number smaller than or equal to the selected rank as the target intra-group sequence number of the front selected proportion of the sub-region group.

In the mining method of the shared vehicle station, sequencing all the subarea groups according to the sequence from the large population number to the small population number to obtain group serial numbers corresponding to all the subarea groups; determining the selection proportion corresponding to each sub-region group according to the group serial number corresponding to each sub-region group; sequencing all the subareas in the subarea group according to the sequence of the comprehensive running contribution value from large to small aiming at each subarea group to obtain the sequence number in the group corresponding to each subarea in the subarea group; and determining the sequence number in the target group of the proportion before the sub-region group, and taking the sequence number in the group as the sub-region of the sequence number in the target group as the target sub-region in the sub-region group. Therefore, the sub-area groups with different population levels correspond to different selection ratios, the important influence of the population numbers of the sub-areas on the shared vehicle orders is fully considered, the actual situation is more met, and the mining accuracy of the shared vehicle station can be further improved.

In one embodiment, the specific process of selecting a target sub-region in each sub-region in the sub-region group based on the integrated driving contribution value of each sub-region in the sub-region group comprises the following steps: sequencing all the subarea groups according to the sequence of population from big to small to obtain group serial numbers corresponding to all the subarea groups; determining the selection proportion corresponding to each sub-region group according to the group serial number corresponding to each sub-region group; for each sub-region group, sub-regions which do not have a shared vehicle station and can establish the shared vehicle station are taken as alternative sub-regions; sequencing each alternative subarea in the subarea group according to the sequence of the comprehensive running contribution value from large to small to obtain the serial number in the group corresponding to each alternative subarea in the subarea group; and determining the sequence number in the target group of the proportion before the sub-region group, and taking the sequence number in the group as an alternative sub-region of the sequence number in the target group as a target sub-region in the sub-region group. It will be appreciated that the specific process of each step in this embodiment is similar to the specific process of steps 701-704. Wherein the sub-area where the shared vehicle station can be established is a sub-area where the shared vehicle station cannot be established. The sub-areas where the shared vehicle station cannot be established may be in a cell, in a mall, in the center of a road, etc.

In one embodiment, as shown in fig. 8, the specific process of determining the selection ratio corresponding to each sub-region group according to the group serial number corresponding to each sub-region group includes the following steps:

step 801, determining a first selection ratio corresponding to the first sub-region group and a second selection ratio corresponding to the last sub-region group.

In the embodiment of the application, the terminal determines a first selection proportion corresponding to the first group of sub-regions and a second selection proportion corresponding to the last group of sub-regions. Wherein the first selection ratio is greater than the second selection ratio. For example, the first selection ratio is 50% and the second selection ratio is 5%.

In one example, the terminal uses the preset highest selection proportion as the first selection proportion corresponding to the first sub-region group. Then, the terminal takes the preset lowest selection proportion as a second selection proportion corresponding to the last sub-region group.

In one example, the terminal queries a first selection proportion corresponding to the first sub-region group and a second selection proportion corresponding to the last sub-region group in a mapping relation of the preset sub-region group number, the first selection proportion and the second selection proportion according to the sub-region group number.

Step 802, calculating a ratio tolerance according to the first selection ratio, the second selection ratio and the number of sub-region groups.

In the embodiment of the application, the terminal subtracts the second selection proportion from the first selection proportion to obtain a first difference value. Then, the terminal subtracts one from the number of sub-area groups to obtain a second difference. And then, the terminal calculates the ratio of the first difference value to the second difference value to obtain a proportional tolerance.

In one embodiment, the first selection ratio is 30%, the second selection ratio is 3%, the number of sub-area groups is 32, and the terminal calculates the ratio difference, which can be expressed as: ratio difference = (first selection ratio-second selection ratio)/(number of sub-area groups-1) = (30% -3%)/(32-1) = 0.008709.

Step 803, for each sub-region group, calculating a selection ratio corresponding to the sub-region group according to the first selection ratio, the ratio tolerance and the group serial number corresponding to the sub-region group.

In the embodiment of the present application, for each sub-region group, the terminal subtracts one from the group sequence number corresponding to the sub-region group. The terminal then multiplies the resulting difference by a proportional tolerance to obtain a proportional decrement for the set of sub-regions. Then, the terminal subtracts the proportion decrement of the sub-region group from the first selection proportion to obtain the selection proportion corresponding to the sub-region group.

In one embodiment, for each sub-region group, the terminal calculates, according to the first selection proportion, the proportion tolerance and the group serial number corresponding to the sub-region group, the selection proportion corresponding to the sub-region group, which may be expressed as: the selection ratio corresponding to the sub-region group=the first selection ratio- (the group serial number-1 corresponding to the sub-region group) ×the ratio tolerance.

In the method for mining the shared vehicle station, a first selection proportion corresponding to the first sub-region group and a second selection proportion corresponding to the last sub-region group are determined; calculating a proportion tolerance according to the first selection proportion, the second selection proportion and the number of the subarea groups; and for each sub-region group, calculating the selection proportion corresponding to the sub-region group according to the first selection proportion, the proportion tolerance and the group serial number corresponding to the sub-region group. Therefore, the group with the largest population number corresponds to the largest selection proportion, but is not completely selected, the group with the smallest population number corresponds to the smallest selection proportion, but is not completely selected, the station balance of the excavated shared vehicle is guaranteed, the actual situation is more met, and the station excavation accuracy of the shared vehicle can be further improved. The method comprises the steps of carrying out an arithmetic series arrangement on the selection proportion, determining the maximum selection proportion corresponding to the group with the largest population number and the minimum selection proportion corresponding to the group with the smallest population number, calculating a proportion tolerance based on the number of sub-area groups and the known selection proportion, and calculating each item in the arithmetic series, namely the selection proportion corresponding to each sub-area group, wherein different selection proportions corresponding to the sub-area groups with different population numbers are distributed reasonably, so that the method is more in line with actual conditions, and the mining accuracy of the shared vehicle station can be further improved.

In one embodiment, the method of mining a shared vehicle station further comprises: the terminal acquires index values of preset monitoring indexes of the sharing vehicle stations in a preset third historical time period. Then, the terminal calculates the comprehensive evaluation result of each shared vehicle station according to the index value of each preset monitoring index of each shared vehicle station in the preset third historical time period. And then, the terminal orders the stations of the shared vehicles according to the order of the comprehensive evaluation results from large to small to obtain a shared vehicle station sequence. If the target station in the target subarea is not positioned at the front preset station proportion of the shared vehicle station sequence, returning the terminal to determine population running contribution values of the subareas according to preset age groups, population information of the subareas and running information of the target areas for each subarea. If the newly obtained target subarea still comprises the target subarea, the terminal eliminates the target subarea from a plurality of subareas contained in the target area, and returns to each subarea, and the population driving contribution value of the subarea is determined according to the preset age groups, population information of the subareas and driving information of the target area. Therefore, the opening strategy of the shared vehicle station can be adjusted and updated in real time by monitoring the condition of the established shared vehicle station, and the accuracy and the instantaneity of mining the shared vehicle station are further improved.

It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.

Based on the same inventive concept, the embodiment of the application also provides an excavating device of the shared vehicle station for realizing the excavating method of the shared vehicle station. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the following embodiments of the excavating device for one or more sharing vehicle stations may be referred to the limitation of the excavating method for the sharing vehicle station hereinabove, and will not be repeated herein.

In one embodiment, as shown in fig. 9, there is provided an excavating apparatus 900 of a shared vehicle station, including: a first determining module 910, a second determining module 920, a third determining module 930, a calculating module 940, and a selecting module 950, wherein:

a first determining module 910, configured to determine a plurality of sub-areas included in the target area;

a second determining module 920, configured to determine, for each sub-area, a population driving contribution value of the sub-area according to preset age groups, population information of the sub-area, and driving information of the target area;

a third determining module 930, configured to determine a running contribution value of the interest point of the sub-region according to the interest point information and the order information of the target region and the interest point information of the sub-region;

a calculating module 940, configured to calculate a comprehensive running contribution value of the sub-region based on the population running contribution value of the sub-region and the interest point running contribution value of the sub-region;

a selecting module 950, configured to select a target sub-area in each sub-area based on the comprehensive running contribution value of each sub-area; the target subregion is used for building a new shared vehicle station.

Optionally, the second determining module 920 is specifically configured to:

Optionally, the point of interest information includes the number of various types of points of interest, and the third determining module 930 is specifically configured to:

Optionally, the selecting module 950 is specifically configured to:

dividing the subarea sequence into subarea groups of the subarea group number;

Optionally, the selecting module 950 is specifically configured to:

The above-described individual modules in the excavation apparatus sharing the vehicle station may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one embodiment, a computer device is provided, which may be a terminal, and an internal structure diagram thereof may be as shown in fig. 10. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program when executed by a processor implements a method of mining a shared vehicle station. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.

It will be appreciated by those skilled in the art that the structure shown in FIG. 10 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.

In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the steps of the method embodiments described above.

In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.

It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as Static Random access memory (Static Random access memory AccessMemory, SRAM) or dynamic Random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.

Claims

1. A method of mining a shared vehicle station, the method comprising:

determining a plurality of subareas contained in the target area;

selecting a target subarea in each subarea based on the comprehensive running contribution value of each subarea; the target subarea is used for building a new shared vehicle station;

wherein, based on the comprehensive running contribution value of each sub-region, selecting a target sub-region in each sub-region includes: determining the number of sub-region groups according to the population number of the target region and a preset sub-region group number determining rule; sequencing all the subareas according to the order of population from big to small to obtain a subarea sequence; dividing the subarea sequence into subarea groups of the subarea group number; and selecting a target subarea from all subareas in the subarea group according to the comprehensive running contribution value of all subareas in the subarea group aiming at each subarea group.

2. The method of claim 1, wherein determining the population travel contribution value of the sub-region based on the preset age groups, the population information of the sub-region, and the travel information of the target region comprises:

3. The method of claim 2, wherein determining the number of users of the age groups within the sub-region based on population information of the sub-region comprises:

4. The method of claim 1, wherein the point of interest information includes a number of various types of points of interest, and wherein determining the point of interest travel contribution value for the sub-region based on the point of interest information and the order information for the target region and the point of interest information for the sub-region includes:

5. The method of claim 1, wherein selecting a target sub-region among the sub-regions within the sub-region group based on the integrated travel contribution value for each sub-region within the sub-region group comprises:

6. The method of claim 5, wherein determining the selection ratio corresponding to each of the sub-region groups according to the group sequence number corresponding to each of the sub-region groups comprises:

7. An excavation apparatus for a shared vehicle station, the apparatus comprising:

The selecting module is used for selecting a target subarea in each subarea based on the comprehensive running contribution value of each subarea; the target subarea is used for building a new shared vehicle station;

the selecting module is specifically configured to: determining the number of sub-region groups according to the population number of the target region and a preset sub-region group number determining rule; sequencing all the subareas according to the order of population from big to small to obtain a subarea sequence; dividing the subarea sequence into subarea groups of the subarea group number; and selecting a target subarea from all subareas in the subarea group according to the comprehensive running contribution value of all subareas in the subarea group aiming at each subarea group.

8. The apparatus of claim 7, wherein the second determining module is specifically configured to:

9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.

10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.