CN109582664A - A kind of shared bicycle trip characteristics analysis method - Google Patents
A kind of shared bicycle trip characteristics analysis method Download PDFInfo
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- CN109582664A CN109582664A CN201811412573.XA CN201811412573A CN109582664A CN 109582664 A CN109582664 A CN 109582664A CN 201811412573 A CN201811412573 A CN 201811412573A CN 109582664 A CN109582664 A CN 109582664A
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- 238000004458 analytical method Methods 0.000 title claims abstract description 48
- 230000007306 turnover Effects 0.000 claims abstract description 16
- 238000004140 cleaning Methods 0.000 claims abstract description 6
- 239000000284 extract Substances 0.000 claims abstract description 5
- 230000002123 temporal effect Effects 0.000 claims abstract description 5
- 238000012545 processing Methods 0.000 claims description 7
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000012800 visualization Methods 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims 1
- 238000005406 washing Methods 0.000 claims 1
- 230000000007 visual effect Effects 0.000 abstract description 3
- 238000000034 method Methods 0.000 description 5
- 238000011161 development Methods 0.000 description 4
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
Abstract
The invention discloses a kind of shared bicycle trip characteristics analysis methods, include the following steps: step 1, collect shared bicycle and use data, are stored in database；Collected taken out out of database using data in step 1 is carried out cleaning arrangement, washes invalid data, get valid data by step 2；Step 3 extracts the valid data obtained in step 2 and carries out borrowing return the car number signature analysis, Spatial And Temporal Characteristics and turnover rate signature analysis, and obtains number characteristic, space-time characteristic data and turnover rate characteristic after analysis；Step 4, number characteristic, space-time characteristic data and turnover rate characteristic in receiving step three, and these three data are carried out being packaged to be integrated into characteristic occur.Shared bicycle trip characteristics analysis method of the invention effectively carries out visual analyzing for sharing the trip characteristics of bicycle.
Description
Technical field
The present invention relates to a kind of analysis method, more particularly to a kind of shared bicycle trip characteristics analysis method.
Background technique
With the rapid development of Internet, attention of the application of development of Mobile Internet technology by more and more industries.Nearly two
Year, sharing economy shares the like a raging fire of economic development in other words.External economic Typical Representative of sharing has excellent step Uber, Audemars Pigeut
Airbnb is met, domestic shared economy is also in development at full speed.In trip field, to ooze the such as Yi Daoyong of behavior representative
The Internet enterprises such as vehicle, Divine Land special train, ticktack share-car bring greatly trip convenience to users.But go out in short distance
There is not service coverage in the above enterprise in row field yet.For better solve user short distance go on a journey " last one kilometer " this pain spot,
Large quantities of shared bicycle enterprises set up one after another.
Shared bicycle user demand scheduling at present mainly by way of manually patrolling and being combined with website video monitoring come
It carries out.This method haves the shortcomings that very big:
(1) it manually patrols higher cost, low efficiency；Shared bicycle broad covered area in large scale, only relies on artificial experience pair
The website of some fixations is scheduled, it is difficult to solve the problems, such as that other websites occur to borrow without vehicle for a long time.
(2) the case where gradually increasing with dot number, video monitoring can not understand each site in real time, therefore be
Alleviate and borrow that vehicle is difficult, difficult problem of returning the car, improves user satisfaction, reduce the operation costs of system, improve on the whole shared
The service level of bicycle system, rationally accurately dosage requirement forecasting is necessary, and so just needs to exist to shared bicycle user
Time and the visual analyzing for spatially doing trip characteristics, however in the prior art it is any for trip characteristics progress can
Method depending on changing analysis.
Summary of the invention
It is a kind of effectively for sharing going out for bicycle in view of the deficiencies of the prior art, the present invention intends to provide
The method of row feature progress visual analyzing.
To achieve the above object, the present invention provides the following technical scheme that a kind of shared bicycle trip characteristics analysis method,
Include the following steps:
Step 1 collects shared bicycle and uses data, is stored in database；
Collected taken out out of database using data in step 1 is carried out cleaning arrangement, cleaned by step 2
Fall invalid data, gets valid data；
Step 3 extracts the valid data obtained in step 2 and carries out borrowing number signature analysis of returning the car, space-time characteristic point
Analysis and turnover rate signature analysis, and number characteristic, space-time characteristic data and turnover rate characteristic are obtained after analysis；
Step 4, number characteristic, space-time characteristic data and turnover rate characteristic in receiving step three, and by this
Three data carry out being packaged to be integrated into characteristic occur.
As a further improvement of the present invention, the cleaning arrangement step in the step 2 includes:
Step 2 one sets the critical value of valid data and invalid data, and the above are effective at 400 meters for setting trip distance
Data, on the contrary then be invalid data, 9.6 kilometers of bicycle average overall travel speed of setting per hour, calculates public according to speed distance
It is 2.5 minutes that formula, which calculates minimum running time, therefore is calculated by the following formula out the minimum of shared bicycle and uses the time:
S=sa+Sb+Sc:
In formula, s is the use time of shared bicycle；SaIt rides the time for actual shared bicycle；Sb、ScRespectively lease,
Spent time when giving back, value are generally 15 seconds, and determine that time of using cars critical value is 3 minutes, are extracted using data
In use the time, and judge whether be higher than using the time 3 minutes, if be higher than 3 minutes be valid data, be nothing lower than 3 minutes
Imitate data；
Step 2 two, the highest of the bicycle set, as 10 hours, are extracted using the time and use the time using in data,
And judge whether be greater than using the time 10 hours, then it was judged as abnormal if more than 10 hours and goes back car data, is equally used as invalid number
According to being handled.
As a further improvement of the present invention, the Spatial And Temporal Characteristics in the step 3 include the analysis of time trip characteristics
Step and space trip characteristics analytical procedure.
As a further improvement of the present invention, the time trip characteristics analytical procedure includes:
Step 3 one is collected the distribution situation in time using system trip number interior one week seven days in data, is obtained
The trip characteristics at working day and weekend are taken, and are compared difference between the two；
Step 3 two collects using the distribution situation of system travel time in time in data, obtains default
Correlation on free period and duration distribution goes back situation to obtain borrowing for morning and evening on working day peak period vehicle.
As a further improvement of the present invention, the space trip characteristics analytical procedure includes:
Step 3 three is collected the quantity borrowed on weekdays with the unit time at weekend using website in data and go back vehicle, gone forward side by side
Row statistics and visualization processing；
Step 3 four is selected representational website and is done by means of percentage and the turnover rate analysis of returning the car, by Baidu's streetscape
Figure selects part website, and judges land use situation around website, then carries out result according to by means of also amount time distribution curve rule
Verifying.
Beneficial effects of the present invention, by the setting of step 1, can effective mobile phone share use the data of bicycle, it is logical
The setting of step 2 is crossed, it can be effectively by effectively being rejected using the invalid data in data in step 1, with this
Come avoid because invalid data interfere caused by the larger problem of errors of analytical results, and setting by step 3 and step 4
It sets, can so realize well the analysis for sharing bicycle trip characteristics effectively to using data to analyze.
Specific embodiment
A kind of shared bicycle trip characteristics analysis method of the present embodiment, includes the following steps:
Step 1 collects shared bicycle and uses data, is stored in database；
Collected taken out out of database using data in step 1 is carried out cleaning arrangement, cleaned by step 2
Fall invalid data, gets valid data；
Step 3 extracts the valid data obtained in step 2 and carries out borrowing number signature analysis of returning the car, space-time characteristic point
Analysis and turnover rate signature analysis, and number characteristic, space-time characteristic data and turnover rate characteristic are obtained after analysis；
Step 4, number characteristic, space-time characteristic data and turnover rate characteristic in receiving step three, and by this
Three data carry out being packaged to be integrated into characteristic occur, during using the appearance characteristic analysis method of the present embodiment only
Need according to Step 1: step 2 and step 3 and step 4 execution can effectively complete to analyze, and use will collect
Be stored in the mode in database using data, can realize the mode of external setting contrast module to complete Step 2: walking
Rapid three and step 4, therefore only need to be added corresponding processing routine in contrast module, it is very simple and convenient, it realizes
The treatment process of one automation accelerates processing speed.
As a kind of improved specific embodiment, the cleaning in the step 2 arranges step and includes:
Step 2 one sets the critical value of valid data and invalid data, and the above are effective at 400 meters for setting trip distance
Data, on the contrary then be invalid data, 9.6 kilometers of bicycle average overall travel speed of setting per hour, calculates public according to speed distance
It is 2.5 minutes that formula, which calculates minimum running time, therefore is calculated by the following formula out the minimum of shared bicycle and uses the time:
S=Sa+Sb+Sc；
In formula, s is the use time of shared bicycle；SaIt rides the time for actual shared bicycle；Sb、ScRespectively lease,
Spent time when giving back, value are generally 15 seconds, and determine that time of using cars critical value is 3 minutes, are extracted using data
In use the time, and judge whether be higher than using the time 3 minutes, if be higher than 3 minutes be valid data, be nothing lower than 3 minutes
Imitate data；
Step 2 two, the highest of the bicycle set, as 10 hours, are extracted using the time and use the time using in data,
And judge whether be greater than using the time 10 hours, then it was judged as abnormal if more than 10 hours and goes back car data, is equally used as invalid number
According to being handled, setting through the above steps, it is invalid effectively to judge to occur during shared bicycle use
Data, and use using the time as the datum mark of judgement, so judging whether using data be invalid data
When, it is only necessary to it extracts using time data, is directly compared using using time data, without to using
Time data are converted, and the treatment effeciency of data is so on the one hand increased, on the other hand also avoid some data because
There is the problem of deviation in data caused by converting.
As a kind of improved specific embodiment, the Spatial And Temporal Characteristics in the step 3 include time trip characteristics
Analytical procedure and space trip characteristics analytical procedure can effectively carry out space-time characteristic by the way of step-by-step processing
Analysis.
As a kind of improved specific embodiment, the time trip characteristics analytical procedure includes:
Step 3 one is collected the distribution situation in time using system trip number interior one week seven days in data, is obtained
The trip characteristics at working day and weekend are taken, and are compared difference between the two；
Step 3 two collects using the distribution situation of system travel time in time in data, obtains default
Correlation on free period and duration distribution goes back situation, general day to obtain borrowing for morning and evening on working day peak period vehicle
The normal time all can simply be divided into two kinds of situations of working day and weekend, therefore special by contrasting using for the two shared bicycles
Sign difference, can recognize the use difference of two time in this way, assist the scheduling for sharing bicycle, and gets to borrow and repay a favour
Condition then can further facilitate the scheduling for vehicle.
As a kind of improved specific embodiment, the space trip characteristics analytical procedure includes:
Step 3 three is collected the quantity borrowed on weekdays with the unit time at weekend using website in data and go back vehicle, gone forward side by side
Row statistics and visualization processing；
Step 3 four is selected representational website and is done by means of percentage and the turnover rate analysis of returning the car, by Baidu's streetscape
Figure selects part website, and judges land use situation around website, then carries out result according to by means of also amount time distribution curve rule
Verifying, setting through the above steps effective collection work day and unit time at weekend can borrow the quantity for going back vehicle, so
Post analysis lends return the car percentage and turnover rate, can provide the reference data of some bicycle scheduling in this way, so further auxiliary
Helping scheduled bicycle.
In conclusion the analysis method of the present embodiment, by Step 1: Step 2: the setting of step 3 and step 4, just
It can effectively realize and trip characteristics are analyzed.
The above is only a preferred embodiment of the present invention, protection scope of the present invention is not limited merely to above-mentioned implementation
Example, all technical solutions belonged under thinking of the present invention all belong to the scope of protection of the present invention.It should be pointed out that for the art
Those of ordinary skill for, several improvements and modifications without departing from the principles of the present invention, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (5)
1. a kind of shared bicycle trip characteristics analysis method, characterized by the following steps:
Step 1 collects shared bicycle and uses data, is stored in database；
Collected taken out out of database using data in step 1 is carried out cleaning arrangement, washes nothing by step 2
Data are imitated, valid data are got；
Step 3, extract the valid data obtained in step 2 carry out borrow return the car number signature analysis, Spatial And Temporal Characteristics and
Turnover rate signature analysis, and number characteristic, space-time characteristic data and turnover rate characteristic are obtained after analysis；
Step 4, number characteristic, space-time characteristic data and turnover rate characteristic in receiving step three, and by these three
Data carry out being packaged to be integrated into characteristic occur.
2. shared bicycle trip characteristics analysis method according to claim 1, it is characterised in that: clear in the step 2
Washing arrangement step includes:
Step 2 one sets the critical value of valid data and invalid data, and the above are significant figures at 400 meters for setting trip distance
According to, it is on the contrary then be invalid data, setting 9.6 kilometers of bicycle average overall travel speed per hour, according to speed distance calculation formula
Calculating minimum running time is 2.5 minutes, therefore is calculated by the following formula out the minimum of shared bicycle and uses the time:
S-Sa+Sb+Sc；
In formula, s is the use time of shared bicycle；SaIt rides the time for actual shared bicycle；Sb、ScIt respectively leases, give back
When spent time, value is generally 15 seconds, and determines that time of using cars critical value is 3 minutes, is extracted using in data
Using the time, and judge whether be higher than using the time 3 minutes, was invalid number lower than 3 minutes if being higher than 3 minutes for valid data
According to；
Step 2 two, the highest of the bicycle set, as 10 hours, are extracted using the time and use the time using in data, and sentenced
It is disconnected whether to be greater than 10 hours using the time, be then judged as abnormal if more than 10 hours and go back car data, equally as invalid data into
Row processing.
3. shared bicycle trip characteristics analysis method according to claim 1 or 2, it is characterised in that: in the step 3
Spatial And Temporal Characteristics include time trip characteristics analytical procedure and space trip characteristics analytical procedure.
4. shared bicycle trip characteristics analysis method according to claim 3, it is characterised in that: the time trip characteristics
Analytical procedure includes:
Step 3 one collects the distribution situation in time using system trip number interior one week seven days in data, obtains work
Make the trip characteristics at day and weekend, and is compared difference between the two；
Step 3 two collects using the distribution situation of system travel time in time in data, obtains the free of default
Correlation on period and duration distribution goes back situation to obtain borrowing for morning and evening on working day peak period vehicle.
5. shared bicycle trip characteristics analysis method according to claim 3, it is characterised in that: the space trip characteristics
Analytical procedure includes:
Step 3 three is collected the quantity borrowed on weekdays with the unit time at weekend using website in data and go back vehicle, and united
Meter and visualization processing；
Step 3 four is selected representational website and is done by means of percentage and the turnover rate analysis of returning the car, chosen by Baidu's streetscape map
Part website is selected, and judges land use situation around website, then carries out result verification according to by means of also amount time distribution curve rule.
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| CN201811412573.XA CN109582664A (en) | 2018-11-23 | 2018-11-23 | A kind of shared bicycle trip characteristics analysis method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110069482A (en) * | 2019-04-25 | 2019-07-30 | 北京首汽智行科技有限公司 | A kind of data cleaning method predicted for sharing automobile demand |
| CN110191184A (en) * | 2019-05-31 | 2019-08-30 | 国信优易数据有限公司 | A kind of duration information method for pushing, device, equipment and medium |
| CN111489039A (en) * | 2020-04-15 | 2020-08-04 | 悉地（苏州）勘察设计顾问有限公司 | Method and system for predicting total amount of shared bicycle |
-
2018
- 2018-11-23 CN CN201811412573.XA patent/CN109582664A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110069482A (en) * | 2019-04-25 | 2019-07-30 | 北京首汽智行科技有限公司 | A kind of data cleaning method predicted for sharing automobile demand |
| CN110191184A (en) * | 2019-05-31 | 2019-08-30 | 国信优易数据有限公司 | A kind of duration information method for pushing, device, equipment and medium |
| CN110191184B (en) * | 2019-05-31 | 2022-02-01 | 国信优易数据股份有限公司 | Duration information pushing method, device, equipment and medium |
| CN111489039A (en) * | 2020-04-15 | 2020-08-04 | 悉地（苏州）勘察设计顾问有限公司 | Method and system for predicting total amount of shared bicycle |
| CN111489039B (en) * | 2020-04-15 | 2023-05-19 | 悉地（苏州）勘察设计顾问有限公司 | Method and system for predicting total quantity of shared bicycle |
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Application publication date: 20190405 |