CN109509351A - A kind of calculation method of bus station surrounding area public transport share rate - Google Patents
A kind of calculation method of bus station surrounding area public transport share rate Download PDFInfo
- Publication number
- CN109509351A CN109509351A CN201910006613.9A CN201910006613A CN109509351A CN 109509351 A CN109509351 A CN 109509351A CN 201910006613 A CN201910006613 A CN 201910006613A CN 109509351 A CN109509351 A CN 109509351A
- Authority
- CN
- China
- Prior art keywords
- surrounding area
- area
- bus
- base station
- plot
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Optimization (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Physics (AREA)
- Pure & Applied Mathematics (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Probability & Statistics with Applications (AREA)
- Software Systems (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Algebra (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Databases & Information Systems (AREA)
- Operations Research (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a kind of calculation methods of bus station surrounding area public transport share rate, using big datas such as mobile phone signaling data, bus card-readings as support, it is proposed a kind of comprehensively measuring and calculating bus station surrounding area public transport share rate calculation method, comprising: step 1, combing cellular base station location data；Step 2, cellular base station service area delimited；Step 3, residential estate construction area is calculated；Step 4, residential estate permanent resident population is calculated；Step 5, website surrounding area range delimited, website surrounding area permanent resident population is calculated；Step 6, bus station brushing card data is compiled, the bus station amount of swiping the card is counted；Step 7, bus station surrounding area public transport share rate is calculated.The present invention saves traffic study time and human cost, improves traffic study efficiency, helps to improve government department for traffic programme, the objectivity and science of traffic study early period.
Description
Technical field
The present invention relates to urban planning, traffic programme field more particularly to a kind of comprehensively measuring and calculating bus station surrounding areas
Public transport share rate calculation method.
Background technique
The calculating of public transport share rate is the key areas of the subjects such as urban planning, communications and transportation concern, for public transport share rate
Calculating, can propose advisory opinion for future city travel pattern, reasonable disposition public transport resources meet city dweller and go out
Row demand.
Under traditional data environment, the calculating of public transport share rate mostly uses traditional traffic study, relies on physical planning
Design object is restricted vulnerable to funds and time, and with the development of information technology, various magnanimity, the space-time big data of multi-source are
Surveys on transportation provide new analysis method and research means, also provide check data abundant for conventional survey analysis.
Summary of the invention
The technical problem to be solved by the present invention is in order to overcome the shortcomings of existing methods, the present invention attempts through public transport IC
Card swipes the card, the big datas such as mobile phone signaling, in conjunction with traditional public transport network data, land use data etc., by big data and decimal
According to being combined, is calculated for public transport share rate and a kind of new calculation method is provided.
The present invention in order to solve the above technical problems, and use following technical scheme:
The present invention proposes a kind of calculation method of bus station surrounding area public transport share rate, comprising the following steps:
Step 1, combing cellular base station location data obtain each base station service permanent resident population's number；
Step 2 delimit cellular base station service area；
Step 3 calculates residential estate construction area；
Step 4 calculates residential estate permanent resident population: permanent resident population's number is assigned to the residential estate of Thiessen polygon covering
On, the permanent resident population as residential estate；Including following two situation:
(1) if residential estate is completely contained in the Thiessen polygon of base station service, by the residential estate building sides
Product is all included in the construction area in base station service area；
(2) if residential estate intersects with the Thiessen polygon that base station services but is not fully contained in Thiessen polygon,
The residential estate area for then calculating the two intersection, multiplied by the residential estate plot ratio, the building being included in base station service area
Area；
By the construction area summation of all residential estates of base station service area covering, each inhabitation is calculated according to following formula
Plot population:
Wherein P is the resident population in each inhabitation plot, and m is to intersect inhabitation plot number with base station service area, and S is base station
Permanent resident population in service range, AS are overall floorage in base station service area, AiFor i-th of inhabitation plot and cellular base station service
Area's intersection construction area；
If inhabitation plot is completely contained in cellular base station service area, AiFor the area in inhabitation plot；If inhabitation plot
Intersect with multiple cellular base station service areas, then by the resident population of inhabitation plot and each cellular base station service area intersection into
Row calculates, permanent resident population's number after summation as the inhabitation plot；
Step 5 delimit website surrounding area range, calculate website surrounding area permanent resident population:
Step 6 compiles bus station brushing card data, counts the bus station amount of swiping the card；
Step 7 is measured in conjunction with the morning peak amount of swiping the card and permanent resident population, calculates bus station surrounding area public transport share rate.
Further, the calculation method of a kind of bus station surrounding area public transport share rate proposed by the invention, step 1 institute
Combing cellular base station location data is stated, specifically: being screened, picked to continuous two weeks cellular base station time of having a rest segment datas
It removes, whole expansion sample is carried out to data, two week time of having a rest section average is calculated, services permanent resident population's number as each base station.
Further, the calculation method of a kind of bus station surrounding area public transport share rate proposed by the invention, step 2 institute
It states and delimit cellular base station service area, specifically: it is more to be delimited according to the location data of base station for Tyson in conjunction with GIS Spatial Data Analysis
Side shape, as cellular base station service area.
Further, the calculation method of a kind of bus station surrounding area public transport share rate proposed by the invention, step 3 institute
It states and calculates residential estate construction area, specifically: according to urban land status figure, extracting residential estate, used in conjunction with every piece of inhabitation
Ground plot ratio data, multiplied by block area, as residential estate overall floorage.
Further, the calculation method of a kind of bus station surrounding area public transport share rate proposed by the invention, step 5 institute
It states and delimit website surrounding area range, calculate website surrounding area permanent resident population, specifically: calling network map interface, calculate
Bus station covering range is arrived within the scope of walking ten minutes, as website surrounding area range；By website surrounding area range with
Residential estate carries out space intersection calculating, calculates website surrounding area permanent resident population according to following formula:
Wherein E is each bus station surrounding area permanent resident population's number, and n is to intersect inhabitation plot with website surrounding area
Number, P is the inhabitation plot permanent resident population's number intersected with bus station surrounding area, and AP is to intersect with bus station surrounding area
Inhabitation plot whole block area, DjFor the land area in j-th inhabitation plot and bus station surrounding area intersection；
If inhabitation plot is completely contained in the surrounding area of bus station, DjFor the area in inhabitation plot, if residence
Block is partially contained in bus station surrounding area, then calculates permanent resident population's number of the intersecting therewith part in website surrounding area, finally
Population on all residential estates intersected with website surrounding area is added and is used as website surrounding area permanent resident population's number.
Further, the calculation method of a kind of bus station surrounding area public transport share rate proposed by the invention, step 6 institute
State and compile bus station brushing card data, count the bus station amount of swiping the card, specifically: according to bus IC card brushing card data and
Bus operation dispatches data, determines resident's corresponding website of getting on the bus of bus card-reading information each time；To continuous two weeks each websites
The bus card-reading data of each period are screened, are rejected, and consider the occupation rate of market of bus card-reading, calculate each period
Quantity of swiping the card average, as each period bus trip amount of each bus station.
Further, the calculation method of a kind of bus station surrounding area public transport share rate proposed by the invention, step 7 institute
It states and is measured in conjunction with the morning peak amount of swiping the card and permanent resident population, calculate bus station surrounding area public transport share rate, specific formula for calculation is such as
Under:
G=C/ (E*X*Y)
Wherein G be bus station surrounding area public transport share rate, C be morning peak when during bus station bus trip amount, E
For bus station surrounding area permanent resident population's number, X is that sunrise row number, Y are peak hour factor per capita；Wherein day goes on a journey per capita
Number and peak hour factor are obtained by the survey data of urban integrated traffic planning.
The present invention uses the above technological means, has following technical effect that
The present invention saves traffic study time and manpower using big datas such as mobile phone signaling data, bus card-readings as relying on
Cost improves traffic study efficiency, and it is poor that this method calculated result can analyze website surrounding area public transport share rate spatial distribution
Different feature facilitates further analysis city traffic trip mode, is type of vehicle, passenger flow corridor in Urban Traffic Planning
Analysis, car trip analysis provide data supporting, improve government department for traffic programme, the objectivity of traffic study early period
And science.
Detailed description of the invention
Fig. 1 is the method flow diagram that the present invention is implemented.
Fig. 2 is that residential estate population calculates schematic diagram in of the embodiment of the present invention.
Fig. 3 is public transport share rate schematic diagram in bus station surrounding area in the embodiment of the present invention.
Specific embodiment
Technical solution of the present invention is described in further detail with reference to the accompanying drawing:
This example is a kind of resource-rich regions recognition methods based on cultural resource evaluation, and flow chart is shown in Fig. 1, mainly includes
Following steps:
The first step combs cellular base station location data.Cellular base station time of having a rest section data in mobile phone is chosen, when specific rest
Between section may be configured as evening zero point between 5 points, set time of having a rest at the night section cellular base station area of coverage can identify population as
Permanent resident population rejects the website of cellular base station mobile phone signaling record number missing or divorced value.To continuous two weeks cellular base stations
Time of having a rest segment data is screened, is rejected, whole to expand sample data in mobile phone, calculates two weeks average, is serviced as each base station
Permanent resident population's number in area.
Second step delimit cellular base station service area.It delimited according to the location data of base station in conjunction with GIS Spatial Data Analysis
Thiessen polygon.Thiessen polygon where each cellular base station is determined as cellular base station service area.
Third step calculates residential estate overall floorage.Set resident population's number of time of having a rest section cellular base station identification
All distribution is on residential estate, and population is according to construction area progress pro rate on every piece of residential estate.It is used from city
Residential estate is extracted in ground status figure, calculates the block area of each piece of residential estate.In conjunction with every piece of residential estate plot ratio number
According to multiplied by block area, as residential estate overall floorage.
4th step calculates residential estate permanent resident population.Using cellular base station place Thiessen polygon as base station service area, with
Permanent resident population's number is assigned to the residential estate of Thiessen polygon covering as permanent resident population's number by time of having a rest section identification population
On, permanent resident population's number as residential estate.Residential estate population as shown in Figure 2 calculates schematic diagram, and specific practice is as follows:
(1) if inhabitation plot is completely contained in the Thiessen polygon of base station service, the inhabitation plot construction area
The construction area being all included in base station service area.
(2) if inhabitation plot is intersected with the Thiessen polygon that base station services but is not fully contained in Thiessen polygon,
The area for then calculating the two intersection, multiplied by the inhabitation plot plot ratio, the construction area being included in base station service area.
(3) construction area in all inhabitation plot of base station service area covering is summed, is calculated according to following formula each
Inhabitation plot population:
Wherein P is the resident population in each inhabitation plot, and m is to intersect inhabitation plot number with base station service area, and S is base station
Permanent resident population's number in service range, AS are overall floorage in base station service area, AiIt is taken for i-th of inhabitation plot and cellular base station
Business area's intersection plot construction area.If inhabitation plot is completely contained in cellular base station service area, AiFor inhabitation plot
Area；If inhabitation plot is intersected with multiple cellular base station service areas, by inhabitation plot and each cellular base station service area phase
The resident population of part is handed over to calculate, permanent resident population's number after summation as the inhabitation plot.
Step 5: delimiting website surrounding area range, website surrounding area permanent resident population is calculated.Network map is called to connect
Mouthful, according to bus station geographical location, calculates and arrive bus station covering range within the scope of walking ten minutes, circumferentially as website
Area's range.Website surrounding area range and residential estate are subjected to space intersection calculating, calculate website periphery according to following formula
Regional permanent resident population:
Wherein E is each bus station surrounding area permanent resident population's number, and n is to intersect inhabitation plot with website surrounding area
Number, P is the inhabitation plot permanent resident population's number intersected with bus station surrounding area, and AP is to intersect with bus station surrounding area
Inhabitation plot whole block area, DjFor the land area in j-th inhabitation plot and bus station surrounding area intersection.If
Inhabitation plot is completely contained in the surrounding area of bus station, then DjFor the area in inhabitation plot, if residence block portion subpackage contains
In bus station surrounding area, then permanent resident population's number of the intersecting therewith part in website surrounding area is calculated, it finally will be with website week
Population on all inhabitation plot of Region In Yanbian intersection, which is added, is used as website surrounding area permanent resident population's number.
6th step compiles bus station brushing card data, counts the bus station amount of swiping the card.From city bus operator
Bus IC card brushing card data and bus operation scheduling data are got, website where swiping the card to it matches.Firstly, passing through
The corresponding POS machine number of resident's bus card-reading data and the bus number at bus dispatching center correspond, secondly, knot
Conjunction resident's bus card-reading data charge time pulls in public transport in bus operation scheduling data and the outbound time matches, most
Afterwards, it is deleted and is screened according to corresponding informance, determine resident's corresponding website of getting on the bus of bus card-reading information each time.
The bus card-reading data of continuous two weeks each website each periods are screened, are rejected, consider bus card-reading
Occupation rate of market, calculating each period swipes the card quantity average, as each period bus trip amount of each bus station.
7th step calculates bus station surrounding area public transport share rate.It is measured in conjunction with the morning peak amount of swiping the card and permanent resident population, meter
Calculate bus station surrounding area public transport share rate.Specific formula for calculation is as follows:
G=C/ (E*X*Y)
Wherein G be bus station surrounding area public transport share rate, C be morning peak when during bus station bus trip amount, E
For bus station surrounding area permanent resident population's number, X is that sunrise row number, Y are peak hour factor per capita.Wherein day goes on a journey per capita
Number and peak hour factor can be obtained by the survey data of urban integrated traffic planning.Fig. 3 is bus station surrounding area public affairs
Share rate schematic diagram is handed over, the period of morning peak freely sets according to the case where different cities, generally in 6:30~9:30.
The above, the only specific embodiment in the present invention, but scope of protection of the present invention is not limited thereto, appoints
What is familiar with the people of the technology within the technical scope disclosed by the invention, it will be appreciated that expects transforms or replaces, and should all cover
Within scope of the invention, therefore, the scope of protection of the invention shall be subject to the scope of protection specified in the patent claim.
Claims (7)
1. a kind of calculation method of bus station surrounding area public transport share rate, which comprises the following steps:
Step 1, combing cellular base station location data obtain each base station service permanent resident population's number；
Step 2 delimit cellular base station service area；
Step 3 calculates residential estate construction area；
Step 4 calculates residential estate permanent resident population: permanent resident population's number is assigned on the residential estate of Thiessen polygon covering,
Permanent resident population as residential estate；Including following two situation:
(1) if residential estate is completely contained in the Thiessen polygon of base station service, the residential estate construction area is complete
It is included in the construction area in base station service area in portion；
(2) it if residential estate intersects with the Thiessen polygon that base station services but is not fully contained in Thiessen polygon, counts
The residential estate area for calculating the two intersection, multiplied by the residential estate plot ratio, the construction area being included in base station service area；
By the construction area summation of all residential estates of base station service area covering, each inhabitation plot is calculated according to following formula
Population:
Wherein P is the resident population in each inhabitation plot, and m is to intersect inhabitation plot number with base station service area, and S is base station service
Permanent resident population in range, AS are overall floorage in base station service area, AiFor i-th of inhabitation plot and cellular base station service area phase
Hand over part construction area；
If inhabitation plot is completely contained in cellular base station service area, AiFor the area in inhabitation plot；If inhabitation plot with it is multiple
The intersection of cellular base station service area, then count inhabitation plot and the resident population of each cellular base station service area intersection
It calculates, permanent resident population's number after summation as the inhabitation plot；
Step 5 delimit website surrounding area range, calculate website surrounding area permanent resident population:
Step 6 compiles bus station brushing card data, counts the bus station amount of swiping the card；
Step 7 is measured in conjunction with the morning peak amount of swiping the card and permanent resident population, calculates bus station surrounding area public transport share rate.
2. a kind of calculation method of bus station surrounding area public transport share rate according to claim 1, which is characterized in that
Cellular base station location data is combed described in step 1, specifically: sieving to continuous two weeks cellular base station time of having a rest segment datas
Choosing is rejected, and is carried out whole expansion sample to data, is calculated two week time of having a rest section average, service permanent resident population as each base station
Number.
3. a kind of calculation method of bus station surrounding area public transport share rate according to claim 1, which is characterized in that
Cellular base station service area delimited described in step 2, specifically: drawing in conjunction with GIS Spatial Data Analysis according to the location data of base station
Thiessen polygon is determined, as cellular base station service area.
4. a kind of calculation method of bus station surrounding area public transport share rate according to claim 1, which is characterized in that
Residential estate construction area is calculated described in step 3, specifically: according to urban land status figure, residential estate is extracted, in conjunction with every piece
Residential estate plot ratio data, multiplied by block area, as residential estate overall floorage.
5. a kind of calculation method of bus station surrounding area public transport share rate according to claim 1, which is characterized in that
Website surrounding area range delimited described in step 5, calculates website surrounding area permanent resident population, specifically: network map being called to connect
Mouthful, it calculates and arrives bus station covering range within the scope of walking ten minutes, as website surrounding area range；By website surrounding area
Range and residential estate carry out space intersection calculating, calculate website surrounding area permanent resident population according to following formula:
Wherein E is each bus station surrounding area permanent resident population's number, and n is to intersect inhabitation plot number, P with website surrounding area
For the inhabitation plot permanent resident population's number intersected with bus station surrounding area, AP is the inhabitation intersected with bus station surrounding area
Plot whole block area, DjFor the land area in j-th inhabitation plot and bus station surrounding area intersection；
If inhabitation plot is completely contained in the surrounding area of bus station, DjFor the area in inhabitation plot, if inhabitation block part
Included in bus station surrounding area, then permanent resident population's number of the intersecting therewith part in website surrounding area is calculated, it finally will be with station
Population on all residential estates of point surrounding area intersection, which is added, is used as website surrounding area permanent resident population's number.
6. a kind of calculation method of bus station surrounding area public transport share rate according to claim 1, which is characterized in that
Bus station brushing card data is compiled described in step 6, counts the bus station amount of swiping the card, specifically: according to bus IC card brush
Card data and bus operation dispatch data, determine resident's corresponding website of getting on the bus of bus card-reading information each time；To continuous two weeks
The bus card-reading data of each website each period are screened, are rejected, and consider the occupation rate of market of bus card-reading, are calculated every
A period swipes the card quantity average, as each period bus trip amount of each bus station.
7. a kind of calculation method of bus station surrounding area public transport share rate according to claim 1, which is characterized in that
It combines the morning peak amount of swiping the card and permanent resident population to measure described in step 7, calculates bus station surrounding area public transport share rate, it is specific to calculate
Formula is as follows:
G=C/ (E*X*Y)
Wherein G be bus station surrounding area public transport share rate, C be morning peak when during bus station bus trip amount, E be public affairs
Website surrounding area permanent resident population's number is handed over, X is that sunrise row number, Y are peak hour factor per capita；Wherein per capita day go on a journey number
It is obtained with peak hour factor by the survey data of urban integrated traffic planning.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910006613.9A CN109509351B (en) | 2019-01-04 | 2019-01-04 | Method for calculating bus sharing rate in areas around bus stop |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910006613.9A CN109509351B (en) | 2019-01-04 | 2019-01-04 | Method for calculating bus sharing rate in areas around bus stop |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109509351A true CN109509351A (en) | 2019-03-22 |
| CN109509351B CN109509351B (en) | 2020-07-28 |
Family
ID=65756172
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910006613.9A Active CN109509351B (en) | 2019-01-04 | 2019-01-04 | Method for calculating bus sharing rate in areas around bus stop |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109509351B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111143769A (en) * | 2019-12-09 | 2020-05-12 | 深圳市市政设计研究院有限公司 | Big data-based trip mode allocation rate prediction method and prediction device |
| CN111476494A (en) * | 2020-04-11 | 2020-07-31 | 重庆交通开投科技发展有限公司 | Method for accurately analyzing geographic distribution of public transport population based on multi-source data |
| CN111915200A (en) * | 2020-08-10 | 2020-11-10 | 北京大学 | Urban public transport supply and demand state division method based on fine spatial scale of bus sharing rate |
| CN113066304A (en) * | 2021-06-03 | 2021-07-02 | 云上(南昌)大数据运营有限公司 | Traffic capacity configuration system applying urban brain cloud platform |
| CN117275274A (en) * | 2023-11-20 | 2023-12-22 | 河北省交通规划设计研究院有限公司 | Conventional bus trip information identification method, device and medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105761190A (en) * | 2016-02-01 | 2016-07-13 | 东南大学 | Urban community vacancy rate dynamic monitoring method based on mobile phone location data |
| CN105760454A (en) * | 2016-02-04 | 2016-07-13 | 东南大学 | Method for dynamically measuring distribution density of city population in real time |
| CN106157601A (en) * | 2016-07-21 | 2016-11-23 | 宁波大学 | A kind of investigation method of bus passenger flow demand based on mobile data |
| CN106658538A (en) * | 2016-12-08 | 2017-05-10 | 深圳先进技术研究院 | Mobile phone base station signal coverage range simulation method based on Thiessen polygon |
| KR20180036411A (en) * | 2016-09-30 | 2018-04-09 | 김진호 | The method and system for estimating congestion of tourist destination |
| CN107909098A (en) * | 2017-11-09 | 2018-04-13 | 苏州大成电子科技有限公司 | A kind of city dweller's anchor point computational methods based on big data |
-
2019
- 2019-01-04 CN CN201910006613.9A patent/CN109509351B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105761190A (en) * | 2016-02-01 | 2016-07-13 | 东南大学 | Urban community vacancy rate dynamic monitoring method based on mobile phone location data |
| CN105760454A (en) * | 2016-02-04 | 2016-07-13 | 东南大学 | Method for dynamically measuring distribution density of city population in real time |
| CN106157601A (en) * | 2016-07-21 | 2016-11-23 | 宁波大学 | A kind of investigation method of bus passenger flow demand based on mobile data |
| KR20180036411A (en) * | 2016-09-30 | 2018-04-09 | 김진호 | The method and system for estimating congestion of tourist destination |
| CN106658538A (en) * | 2016-12-08 | 2017-05-10 | 深圳先进技术研究院 | Mobile phone base station signal coverage range simulation method based on Thiessen polygon |
| CN107909098A (en) * | 2017-11-09 | 2018-04-13 | 苏州大成电子科技有限公司 | A kind of city dweller's anchor point computational methods based on big data |
Non-Patent Citations (3)
| Title |
|---|
| 冉斌: "手机数据在交通调查和交通规划中的应用", 《城市交通》 * |
| 蒋金亮 等: "大数据支撑下的土地利用混合对公交出行影响分析——以宜兴市中心城区为例", 《现代城市研究》 * |
| 高国伟: "《不可不知的1000个财经常识》", 30 April 2016, 中国法制出版社 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111143769A (en) * | 2019-12-09 | 2020-05-12 | 深圳市市政设计研究院有限公司 | Big data-based trip mode allocation rate prediction method and prediction device |
| CN111143769B (en) * | 2019-12-09 | 2023-05-09 | 深圳市市政设计研究院有限公司 | Travel mode sharing rate prediction method and prediction device based on big data |
| CN111476494A (en) * | 2020-04-11 | 2020-07-31 | 重庆交通开投科技发展有限公司 | Method for accurately analyzing geographic distribution of public transport population based on multi-source data |
| CN111915200A (en) * | 2020-08-10 | 2020-11-10 | 北京大学 | Urban public transport supply and demand state division method based on fine spatial scale of bus sharing rate |
| CN111915200B (en) * | 2020-08-10 | 2022-05-06 | 北京大学 | Urban public transport supply and demand state division method based on fine spatial scale of bus sharing rate |
| CN113066304A (en) * | 2021-06-03 | 2021-07-02 | 云上(南昌)大数据运营有限公司 | Traffic capacity configuration system applying urban brain cloud platform |
| CN117275274A (en) * | 2023-11-20 | 2023-12-22 | 河北省交通规划设计研究院有限公司 | Conventional bus trip information identification method, device and medium |
| CN117275274B (en) * | 2023-11-20 | 2024-02-02 | 河北省交通规划设计研究院有限公司 | Conventional bus trip information identification method, device and medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109509351B (en) | 2020-07-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109509351A (en) | A kind of calculation method of bus station surrounding area public transport share rate | |
| CN109035770B (en) | Real-time analysis and prediction method for bus passenger capacity in big data environment | |
| Zhai et al. | Using mobile signaling data to exam urban park service radius in Shanghai: methods and limitations | |
| US8504035B2 (en) | System and method for population tracking, counting, and movement estimation using mobile operational data and/or geographic information in mobile network | |
| CN106576383A (en) | Deployment criteria for unmanned aerial vehicles to improve cellular phone communications | |
| CN109362041A (en) | A kind of population space-time distributional analysis method based on big data | |
| WO2015096400A1 (en) | Bus planning method using mobile communication data mining | |
| CN105206048A (en) | Urban resident traffic transfer mode discovery system and method based on urban traffic OD data | |
| CN109495856A (en) | A kind of mobile phone user's type mark method based on big data | |
| CN109727076A (en) | A kind of site selecting method based on population space-time distribution | |
| CN108549976A (en) | Smart travel big data analysis method | |
| Zin et al. | Estimation of originating-destination trips in Yangon by using big data source | |
| CN112418556B (en) | Gridding service system based on Internet sharing platform | |
| Guo et al. | Enhanced least square based dynamic OD matrix estimation using Radio Frequency Identification data | |
| Shi et al. | Analysis of trip generation rates in residential commuting based on mobile phone signaling data | |
| Nanni et al. | Transportation planning based on GSM traces: a case study on ivory coast | |
| CN109672986A (en) | A kind of space-time big data analysis system | |
| Li et al. | Analysis of jobs-housing relationship and commuting characteristics around urban rail transit stations | |
| WO2018113969A1 (en) | Method and system for evaluating catchment areas associated with a transport hub by means of data of a telecommunication network | |
| CN111508220B (en) | Method for accurately performing tail end connection based on public transport population distribution | |
| CN111367900B (en) | Method for calculating normal current limiting intensity of urban rail transit network based on AFC data | |
| Wei et al. | Optimal routing design of feeder transit with stop selection using aggregated cell phone data and open source GIS tool | |
| CN107644390A (en) | A kind of method and device for obtaining track platform passenger flow data | |
| Wang et al. | Analysis of subway passenger flow based on smart card data | |
| Sun et al. | Characterizing multimodal transfer time using smart card data: The effect of time, passenger age, crowdedness and collective pressure |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP03 | Change of name, title or address | ||
| CP03 | Change of name, title or address |
Address after: 210019 Building B3, No. 1, Yunlongshan Road, Jianye District, Nanjing, Jiangsu Patentee after: Jiangsu urban planning and Design Institute Co.,Ltd. Address before: No. 88, Caochangmen street, Gulou District, Nanjing, Jiangsu 210036 Patentee before: JIANGSU INSTITUTE OF URBAN PLANNING AND DESIGN |