CN109657963A - A kind of traffic synthesized competitiveness analysis method and system based on global urban three-dimensional coordinate - Google Patents
A kind of traffic synthesized competitiveness analysis method and system based on global urban three-dimensional coordinate Download PDFInfo
- Publication number
- CN109657963A CN109657963A CN201811524406.4A CN201811524406A CN109657963A CN 109657963 A CN109657963 A CN 109657963A CN 201811524406 A CN201811524406 A CN 201811524406A CN 109657963 A CN109657963 A CN 109657963A
- Authority
- CN
- China
- Prior art keywords
- matrix
- coordinate
- traffic
- urban
- comentropy
- 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
- 238000004458 analytical method Methods 0.000 title claims abstract description 22
- 239000011159 matrix material Substances 0.000 claims abstract description 197
- 238000004364 calculation method Methods 0.000 claims abstract description 14
- 238000000034 method Methods 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 11
- 238000000605 extraction Methods 0.000 claims description 8
- 230000005540 biological transmission Effects 0.000 claims description 6
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 238000011161 development Methods 0.000 claims description 3
- 230000018109 developmental process Effects 0.000 claims description 3
- 238000003786 synthesis reaction Methods 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 2
- 239000000284 extract Substances 0.000 claims description 2
- 238000004422 calculation algorithm Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 238000000540 analysis of variance Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002860 competitive effect Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000004642 transportation engineering Methods 0.000 description 1
Classifications
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a kind of traffic synthesized competitiveness analysis method and system based on global urban three-dimensional coordinate, including obtain in M city it is N number of can across comparison index, and basis matrix number A is generated according to N number of index；Basic matrix number A is input to preset global urban three-dimensional space traffic coordinate-system；Matrix Q is standardized, matrix T is obtained；It is calculated by the comentropy to matrix T coordinate, obtains comentropy E；According to the coordinate information of matrix Q and comentropy E, the value of element into weight matrix W；According to the value of element in matrix Q and weight matrix W, the synthesized competitiveness that element corresponds to urban transportation is calculated, can the traffic synthesized competitiveness to all kinds of cities analyze, calculated by simply and easily calculation method to the traffic synthesized competitiveness in all kinds of cities to realize.
Description
Technical field
The present invention relates to Communication and Transportation Engineering field more particularly to a kind of traffic based on global urban three-dimensional coordinate are comprehensive
Analysis on competitive method and system.
Background technique
All cities in the world, no matter scale, economic level, industry characteristics or innerland pattern, exist inherence
Certain correlation and comparativity.Globalization and City Library, which are studied, to be specifically included that the method for global urban ranking at present
Group and network (Globalization and World Cities Study Group and Network, abbreviation GaWC) are sent out
The City Library register of cloth, the global urban index (GCI/GIO) of Kearney company, U.S. publication and day Benson commemorate financial group
The global urban potential index (GPCI) etc. of Urban strategy research institute publication.City Library register passes through research finance, meeting
The high-end production service enterprise in the whole world of five industries such as meter, advertisement, law and Management Advisory Services each city distribution, according to point
The importance of branch mechanism is given a mark, and obtains city level using mathematical model COMPREHENSIVE CALCULATING.
So far more than 70 index relevant to global urban has been issued within 2008, has been divided into comprehensive strength by its focal point
Five general orientation such as ranking, commerce and trade economic strength, hub node, scientific and technical innovation, international fame.
However, not there is also currently one kind that can be based on global urban three-dimensional space traffic coordinate-system to all kinds of cities
Traffic synthesized competitiveness analysis method.The present invention is intended to provide a kind of analysis method, competing to the traffic synthesis in all kinds of cities
It strives power to be analyzed, so as to succinctly easily calculate the different traffic synthesized competitiveness in all kinds of cities.
Summary of the invention
The purpose of the embodiment of the present invention is that providing a kind of traffic synthesized competitiveness analysis based on global urban three-dimensional coordinate
Method, can the traffic synthesized competitiveness to all kinds of cities analyze, to realize through simply and easily calculation method
Calculate the traffic synthesized competitiveness to all kinds of cities.
To achieve the above object, the embodiment of the invention provides a kind of, and the traffic synthesis based on global urban three-dimensional coordinate is competing
Strive power analysis method, comprising the following steps:
Obtain in M city it is N number of can across comparison index, and basis matrix number A is generated according to the N number of index；
Wherein, the index includes the density of population, GDP per capita, road mileage, urban railway station density, thousand people gather around motor vehicle rate, thousand people gather around
Bus rate, peak period speed, bus fee and GDP per capita ratio, the basis matrix number A are referred to by M city and N
Mark is successively lined up M row N column and is constituted；
The basis matrix number A is input to preset global urban three-dimensional space traffic coordinate-system；Wherein, described pre-
If global urban three-dimensional space traffic coordinate-system be a M row 3 column matrix Q, each rower shows corresponding city three
Coordinate value in the traffic coordinate-system of dimension space；
The matrix Q is standardized, matrix T is obtained；
It is calculated by the comentropy to the matrix T coordinate, obtains the comentropy E；
According to the coordinate information of the matrix Q and the comentropy E, the value of element into weight matrix W；
According to the value of element in the matrix Q and the weight matrix W, the element is calculated and corresponds to urban transportation
Synthesized competitiveness.
Further, the preset global urban three-dimensional space traffic coordinate-system is built-up by the following method:
By carrying out feature extraction processing to the basis matrix number A, obtains characteristic value and the characteristic value is corresponding
Feature vector, and main eigenmatrix P is created according to described eigenvector；
According to the basis matrix number A and main eigenmatrix P, three-dimensional space traffic coordinate system is constructed；Wherein, described
Three bit space traffic coordinate systems are used to reflect the horizontal relationship between urban characteristic of all kinds of Traffic Developments.
Further, described by carrying out feature extraction processing to the basis matrix number A, obtain characteristic value and described
The corresponding feature vector of characteristic value, and main eigenmatrix P is created according to described eigenvector, specifically:
The average value that each column of the basic matrix number A are subtracted to this column, obtains matrix B；
According to the basis matrix number A and the matrix B, the covariance matrix of the basic matrix number A is calculated, square is obtained
Battle array C；
By calculating the Matrix C, correlation matrix R is obtained；
Characteristics extraction is carried out according to unit matrix and the matrix R, obtains multiple characteristic values；Wherein, each characteristic value
A corresponding feature vector, described eigenvector are the column vector of M dimension in the basic matrix number A；
It extracts the corresponding feature vector of first three characteristic value and constitutes matrix, and as the main eigenmatrix P.
Further, it is described by the basis matrix number A multiplied by the main eigenmatrix P, construct three-dimensional space traffic and sit
Mark system, specifically:
By the way that the basis matrix number A multiplied by the main eigenmatrix P, is obtained each city in three-dimensional space traffic coordinate
Coordinate value matrix Q in system；
According to the matrix Q, the three-dimensional space traffic coordinate system is constructed.
Further, the coordinate information and the comentropy E according to the matrix Q, obtains element in weight matrix W
Value, specifically:
The weight matrix that coordinate is defined according to the coordinate information of the matrix Q, obtains matrix W；
And according to the comentropy, the value of element in the matrix W is calculated.
As another embodiment of the invention, the present invention also provides a kind of traffic based on global urban three-dimensional coordinate
Synthesized competitiveness analysis system, comprising: obtain module, transmission module, processing module, comentropy computing module, weight calculation mould
Block, synthesized competitiveness computing module；
The acquisition module is used for, obtain in M city it is N number of can across comparison index, and according to N number of index
Generate basic matrix number A；Wherein, the index includes the density of population, GDP per capita, road mileage, urban railway station density, thousand people
Gather around motor vehicle rate, thousand people gather around bus rate, peak period speed, bus fee and GDP per capita ratio, the basis matrix number A
By M city and N number of index, successively lines up M row N column and constitute；
The transmission module is used for, and the basis matrix number A is input to preset global urban three-dimensional space traffic and is sat
Mark system；Wherein, the preset global urban three-dimensional space traffic coordinate-system is the matrix Q of a M row 3 column, every a line
Indicate coordinate value of the corresponding city in the traffic coordinate-system of three-dimensional space；
The processing module is used for, and is standardized to the matrix Q, is obtained matrix T；
The comentropy computing module is used for, and is calculated by the comentropy to the matrix T coordinate, is obtained the letter
Cease entropy E；
The weight calculation module is used for, and according to the coordinate information of the matrix Q and the comentropy E, arrives weight matrix W
The value of middle element；
The synthesized competitiveness computing module is used for, according to the value of element in the matrix Q and the weight matrix W, meter
Calculation obtains the synthesized competitiveness that the element corresponds to urban transportation.
Further, the weight calculation module includes: definition unit and computing unit:
The definition unit is used for, and the weight matrix of coordinate is defined according to the coordinate information of the matrix Q, obtains matrix W；
The computing unit is used for, and according to the comentropy, calculates the value of element in the matrix W.
Compared with prior art, it has the following beneficial effects:
Traffic synthesized competitiveness analysis method provided in an embodiment of the present invention based on global urban three-dimensional coordinate, including obtain
Take in M city it is N number of can across comparison index, and basic matrix number A is generated according to the N number of index；By the basis
Matrix number A is input to preset global urban three-dimensional space traffic coordinate-system；The matrix Q is standardized, is obtained
To matrix T；It is calculated by the comentropy to the matrix T coordinate, obtains the comentropy E；According to the matrix Q's
Coordinate information and the comentropy E, the value of element into weight matrix W；According to first in the matrix Q and the weight matrix W
The value of element, is calculated the synthesized competitiveness that the element corresponds to urban transportation, comprehensive to the traffic in all kinds of cities can compete
Power is analyzed, to realize the traffic synthesized competitiveness calculated by simply and easily calculation method to all kinds of cities.
Detailed description of the invention
Fig. 1 is a reality of the traffic synthesized competitiveness analysis method provided by the invention based on global urban three-dimensional coordinate
Apply the flow diagram of example；
Fig. 2 is a reality of the construction method of preset global urban three-dimensional space traffic coordinate-system provided by the invention
Apply the flow diagram of example；
Fig. 3 is a reality of the traffic synthesized competitiveness analysis system provided by the invention based on global urban three-dimensional coordinate
Apply the structural schematic diagram of example.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Figure 1, the embodiment of the invention provides a kind of traffic synthesized competitiveness based on global urban three-dimensional coordinate
Analysis method, comprising the following steps: S1-S6；
S1, obtain in M city it is N number of can across comparison index, and basis matrix number A is generated according to N number of index.
In embodiments of the present invention, index includes the density of population, GDP per capita, road mileage, urban railway station density, thousand people
Gather around motor vehicle rate, thousand people gather around bus rate, peak period speed, bus fee and GDP per capita ratio, basic matrix number A are a by M
City and N number of index are successively lined up M row N column and are constituted.
Basic matrix number A is input to preset global urban three-dimensional space traffic coordinate-system by S2.
In embodiments of the present invention, preset global urban three-dimensional space traffic coordinate-system is the matrix of a M row 3 column
Q, each rower show coordinate value of the corresponding city in the traffic coordinate-system of three-dimensional space.
S3 is standardized matrix Q, obtains matrix T.
In the present embodiment, to three-dimensional coordinate value matrix Q=(β1,β2,β3) be standardized, circular
It is as follows:
S4 is calculated by the comentropy to matrix T coordinate, obtains comentropy E.
In the present embodiment, the comentropy of coordinate, specific algorithm are solved are as follows:
S5, according to the coordinate information of matrix Q and comentropy E, the value of element into weight matrix W.
In the present embodiment, step S5 specifically: the weight matrix that coordinate is defined according to the coordinate information of matrix Q obtains
Matrix W, and according to comentropy, the value of element in calculating matrix W.
It should be noted that the weight matrix algorithm for defining coordinate is as follows:
W=(w1,w2,w3)T
The element in weight matrix is calculated according to the comentropy of coordinate:
The comprehensive competition that element corresponds to urban transportation is calculated according to the value of element in matrix Q and weight matrix W in S6
Power.
It should be noted that calculating the synthesized competitiveness algorithm of urban transportation are as follows:
S=Qw
Fig. 2 is referred to, in embodiments of the present invention, preset global urban three-dimensional space traffic coordinate-system passes through following
Method is built-up, including step S11-S12；
S11 obtains characteristic value and the corresponding feature of characteristic value by carrying out feature extraction processing to basic matrix number A
Vector, and main eigenmatrix P is created according to feature vector.
In the present embodiment, step S11 specifically: the average value that each column of basic matrix number A are subtracted to this column obtains
Matrix B；According to basic matrix number A and matrix B, the covariance matrix of basic matrix number A is calculated, Matrix C is obtained, whereinBy calculating Matrix C, correlation matrix R is obtained；Wherein related data matrix R by with
Under type calculates:
Characteristics extraction is carried out according to unit matrix and matrix R, obtains multiple characteristic values；Wherein, each characteristic value is corresponding
One feature vector, feature vector are the column vector of M dimension in basic matrix number A；
In the present embodiment, characteristic equation is solved | R- λ I |=0, wherein I is unit matrix, obtains characteristic root λ1,λ2,…,
λN(λ1≥λ2≥…≥λN), neutralize the corresponding feature vector α of each characteristic root1,α2,…,αN, wherein αi=(i=1,
2 ..., N) it is the column vector that M is tieed up.
It should be noted that extracting the corresponding feature vector of first three characteristic value constitutes matrix, and as main eigenmatrix
P, wherein main eigenmatrix P=(α1,α2,α3), by basic data matrix A multiplied by main eigenmatrix P, obtains a M row 3 and arrange
Matrix Q=(β1,β2,β3), every a line of matrix indicates coordinate of the corresponding city in the traffic coordinate-system of three-dimensional space
Value.
S12 constructs three-dimensional space traffic coordinate system according to basic matrix number A and main eigenmatrix P；Wherein, three bit space
Traffic coordinate system is used to reflect the horizontal relationship between urban characteristic of all kinds of Traffic Developments.
In the present embodiment, step S12 specifically: by the way that basic matrix number A multiplied by main eigenmatrix P, is obtained each city
Coordinate value matrix Q of the city in three-dimensional space traffic coordinate-system；According to matrix Q, three-dimensional space traffic coordinate system is constructed.
Fig. 3 is referred to, as another preferred embodiment of the present invention, it is three-dimensional based on global urban that the present invention also provides one kind
The traffic synthesized competitiveness analysis system of coordinate, comprising: obtain module, transmission module, processing module, comentropy computing module,
Weight calculation module, synthesized competitiveness computing module.
Module is obtained to be used for, obtain in M city it is N number of can across comparison index, and generated according to N number of index basic
Matrix number A；Wherein, index includes that the density of population, GDP per capita, road mileage, urban railway station density, thousand people gather around motor vehicle rate, thousand
People gathers around bus rate, peak period speed, bus fee and GDP per capita ratio, and basic matrix number A is referred to by M city and N
Mark is successively lined up M row N column and is constituted；Transmission module is used for, and basic matrix number A is input to preset global urban three-dimensional space
Traffic coordinate-system；Wherein, preset global urban three-dimensional space traffic coordinate-system is the matrix Q that M row 3 arranges, each
Rower shows coordinate value of the corresponding city in the traffic coordinate-system of three-dimensional space；Processing module is used for, and is carried out to matrix Q
Standardization obtains matrix T；Comentropy computing module is used for, and is calculated, is obtained by the comentropy to matrix T coordinate
Comentropy E；Weight calculation module is used for, according to the coordinate information of matrix Q and comentropy E, the value of element into weight matrix W；
Synthesized competitiveness computing module is used for, and according to the value of element in matrix Q and weight matrix W, element is calculated and hands over Yingcheng City
Logical synthesized competitiveness.
In the present embodiment, weight calculation module includes: definition unit and computing unit, and definition unit is used for, according to square
The coordinate information of battle array Q defines the weight matrix of coordinate, obtains matrix W；Computing unit is used for, and according to comentropy, calculating matrix W
The value of middle element.
As the preferred embodiment of the present invention, 20 global urbans in GaWC City Library handbook are chosen according to step S1,8
Can across comparison index, comprising: the density of population, GDP per capita, road mileage, urban railway station density, thousand people gather around motor vehicle
Rate, thousand people gather around bus rate, peak period speed, bus fee and GDP per capita ratio, successively line up the basic number of 20 rows 8 column
According to matrix A.
The following are 20 different cities of selection and 8 can across comparison index:
According to the covariance matrix C of step calculating matrix A:
By calculating Matrix C, correlation matrix R is obtained:
Solve characteristic equation | R- λ I |=0, wherein I is unit matrix, obtains characteristic root λ1,λ2,…,λ8(λ1≥λ2≥…
≥λ8), neutralize the corresponding feature vector α of each characteristic root1,α2,…,α8, wherein αi=(i=1,2 ..., 8) it is 8 dimensions
Column vector.
Wherein, characteristic root is as follows:
| Serial number | Characteristic root | Variance contribution ratio (%) | Cumulative proportion in ANOVA (%) |
| 1 | 3.255 | 40.690 | 40.690 |
| 2 | 1.425 | 17.813 | 58.503 |
| 3 | 1.117 | 13.959 | 72.462 |
| 4 | 0.904 | 11.301 | 83.763 |
| 5 | 0.755 | 9.444 | 93.206 |
| 6 | 0.362 | 4.529 | 97.736 |
| 7 | 0.117 | 1.464 | 99.200 |
| 8 | 0.064 | 0.800 | 100.000 |
The corresponding feature vector of characteristic root is as follows:
The corresponding feature vector of first three characteristic value is chosen, main eigenmatrix P=(α is obtained1,α2,α3):
| 1 | 2 | 3 | |
| The density of population (people/square kilometre) | 0.732 | 0.342 | -0.408 |
| GDP per capita (hundred million dollars/ten thousand people) | 0.775 | -0.367 | 0.433 |
| Road mileage (kilometer/square kilometre) | 0.500 | 0.752 | -0.001 |
| Urban railway station density (a/square kilometre) | 0.852 | 0.081 | -0.134 |
| Thousand people gather around motor vehicle rate (/ thousand people) | 0.787 | -0.369 | 0.450 |
| Thousand people possess bus rate (/ thousand people) | 0.452 | -0.267 | -0.462 |
| Speed (kilometer per hour) | -0.464 | -0.359 | -0.220 |
| Bus fee and GDP per capita ratio | -0.321 | 0.516 | 0.530 |
Basic data matrix A is obtained into the matrix Q=of 20 rows 3 column multiplied by main eigenmatrix P according to step S3
(β1,β2,β3), every a line of matrix indicates coordinate value of the corresponding city in the traffic coordinate-system of three-dimensional space:
To three coordinate value matrix Q=(β1,β2,β3) be standardized, circular is as follows:
Obtain following data:
And the comentropy of coordinate is acquired according to following algorithm:
Obtain following data:
Pass through w=(w1,w2,w3)TIt determines the weight matrix of coordinate, and element in weight matrix is calculated according to following algorithm
Value:
Obtain following data:
The synthesized competitiveness for finally calculating urban transportation obtains following data according to algorithm S=Qw:
As a result, by the present embodiment choose 20 different cities and 8 can across comparison index, be input to preset
Global urban three-dimensional space traffic coordinate-system, obtains above-mentioned data result.
To sum up, the traffic synthesized competitiveness analysis method provided in an embodiment of the present invention based on global urban three-dimensional coordinate,
Including obtain in M city it is N number of can across comparison index, and basis matrix number A is generated according to N number of index；By basic number
Matrix A is input to preset global urban three-dimensional space traffic coordinate-system；Matrix Q is standardized, matrix is obtained
T；It is calculated by the comentropy to matrix T coordinate, obtains comentropy E；According to the coordinate information of matrix Q and comentropy E, arrive
The value of element in weight matrix W；According to the value of element in matrix Q and weight matrix W, element is calculated and corresponds to urban transportation
Synthesized competitiveness, can the traffic synthesized competitiveness to all kinds of cities analyze, to realize by simply and easily counting
Calculation method calculates the traffic synthesized competitiveness to all kinds of cities.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered as
Protection scope of the present invention.
Claims (7)
1. a kind of traffic synthesized competitiveness analysis method based on global urban three-dimensional coordinate, which is characterized in that including following step
It is rapid:
Obtain in M city it is N number of can across comparison index, and basis matrix number A is generated according to the N number of index；Wherein,
The index includes the density of population, GDP per capita, road mileage, urban railway station density, thousand people gather around motor vehicle rate, thousand people gather around public transport
Vehicle rate, peak period speed, bus fee and GDP per capita ratio, the basis matrix number A by M city and N number of index, according to
Secondary M row N column of lining up are constituted；
The basis matrix number A is input to preset global urban three-dimensional space traffic coordinate-system；Wherein, described preset
Global urban three-dimensional space traffic coordinate-system is the matrix Q of a M row 3 column, and each rower shows corresponding city in three-dimensional space
Between traffic coordinate-system in coordinate value；
The matrix Q is standardized, matrix T is obtained；
It is calculated by the comentropy to the matrix T coordinate, obtains the comentropy E；
According to the coordinate information of the matrix Q and the comentropy E, the value of element into weight matrix W；
According to the value of element in the matrix Q and the weight matrix W, the synthesis that the element corresponds to urban transportation is calculated
Competitiveness.
2. the traffic synthesized competitiveness analysis method based on global urban three-dimensional coordinate, feature exist as described in claim 1
In the preset global urban three-dimensional space traffic coordinate-system is built-up by the following method:
By carrying out feature extraction processing to the basis matrix number A, characteristic value and the corresponding feature of the characteristic value are obtained
Vector, and main eigenmatrix P is created according to described eigenvector；
According to the basis matrix number A and main eigenmatrix P, three-dimensional space traffic coordinate system is constructed；Wherein, described three
Space communication coordinate system is used to reflect the horizontal relationship between urban characteristic of all kinds of Traffic Developments.
3. the traffic synthesized competitiveness analysis method based on global urban three-dimensional coordinate, feature exist as claimed in claim 2
In, it is described by carrying out feature extraction processing to the basis matrix number A, obtain characteristic value and the corresponding spy of the characteristic value
Vector is levied, and main eigenmatrix P is created according to described eigenvector, specifically:
The average value that each column of the basic matrix number A are subtracted to this column, obtains matrix B；
According to the basis matrix number A and the matrix B, the covariance matrix of the basic matrix number A is calculated, Matrix C is obtained；
By calculating the Matrix C, correlation matrix R is obtained；
Characteristics extraction is carried out according to unit matrix and the matrix R, obtains multiple characteristic values；Wherein, each characteristic value is corresponding
One feature vector, described eigenvector are the column vector of M dimension in the basic matrix number A；
It extracts the corresponding feature vector of first three characteristic value and constitutes matrix, and as the main eigenmatrix P.
4. the traffic synthesized competitiveness analysis method based on global urban three-dimensional coordinate, feature exist as claimed in claim 2
In, it is described by the basis matrix number A multiplied by the main eigenmatrix P, construct three-dimensional space traffic coordinate system, specifically:
By the way that the basis matrix number A multiplied by the main eigenmatrix P, is obtained each city in three-dimensional space traffic coordinate-system
In coordinate value matrix Q；
According to the matrix Q, the three-dimensional space traffic coordinate system is constructed.
5. the traffic synthesized competitiveness analysis method based on global urban three-dimensional coordinate, feature exist as described in claim 1
In, the coordinate information and the comentropy E according to the matrix Q obtains the value of element in weight matrix W, specifically:
The weight matrix that coordinate is defined according to the coordinate information of the matrix Q, obtains matrix W；
And according to the comentropy, the value of element in the matrix W is calculated.
6. a kind of traffic synthesized competitiveness analysis system based on global urban three-dimensional coordinate characterized by comprising obtain mould
Block, transmission module, processing module, comentropy computing module, weight calculation module, synthesized competitiveness computing module；
The acquisition module is used for, obtain in M city it is N number of can across comparison index, and according to the N number of index generation
Basic matrix number A；Wherein, the index includes that the density of population, GDP per capita, road mileage, urban railway station density, thousand people gather around machine
Motor-car rate, thousand people gather around bus rate, peak period speed, bus fee and GDP per capita ratio, and the basis matrix number A is by M
City and N number of index are successively lined up M row N column and are constituted；
The transmission module is used for, and the basis matrix number A is input to preset global urban three-dimensional space traffic coordinate body
System；Wherein, the preset global urban three-dimensional space traffic coordinate-system is the matrix Q of a M row 3 column, and each rower shows
Coordinate value of the corresponding city in the traffic coordinate-system of three-dimensional space；
The processing module is used for, and is standardized to the matrix Q, is obtained matrix T；
The comentropy computing module is used for, and is calculated by the comentropy to the matrix T coordinate, is obtained the comentropy
E；
The weight calculation module is used for, first into weight matrix W according to the coordinate information of the matrix Q and the comentropy E
The value of element；
The synthesized competitiveness computing module is used for, and according to the value of element in the matrix Q and the weight matrix W, is calculated
The synthesized competitiveness of urban transportation is corresponded to the element.
7. the traffic synthesized competitiveness analysis system based on global urban three-dimensional coordinate, feature exist as claimed in claim 6
In the weight calculation module includes: definition unit and computing unit；
The definition unit is used for, and the weight matrix of coordinate is defined according to the coordinate information of the matrix Q, obtains matrix W；
The computing unit is used for, and according to the comentropy, calculates the value of element in the matrix W.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811524406.4A CN109657963B (en) | 2018-12-13 | 2018-12-13 | Traffic comprehensive competitiveness analysis method and system based on global city three-dimensional coordinates |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811524406.4A CN109657963B (en) | 2018-12-13 | 2018-12-13 | Traffic comprehensive competitiveness analysis method and system based on global city three-dimensional coordinates |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109657963A true CN109657963A (en) | 2019-04-19 |
| CN109657963B CN109657963B (en) | 2022-04-01 |
Family
ID=66114513
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811524406.4A Active CN109657963B (en) | 2018-12-13 | 2018-12-13 | Traffic comprehensive competitiveness analysis method and system based on global city three-dimensional coordinates |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109657963B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150095830A1 (en) * | 2013-09-27 | 2015-04-02 | Iteris, Inc | Comparative data analytics and visualization tool for analyzing traffic performance data in a traffic management system |
| CN107506433A (en) * | 2017-08-23 | 2017-12-22 | 中国科学院地理科学与资源研究所 | Urban development space general layout Scene Simulation system |
-
2018
- 2018-12-13 CN CN201811524406.4A patent/CN109657963B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150095830A1 (en) * | 2013-09-27 | 2015-04-02 | Iteris, Inc | Comparative data analytics and visualization tool for analyzing traffic performance data in a traffic management system |
| CN107506433A (en) * | 2017-08-23 | 2017-12-22 | 中国科学院地理科学与资源研究所 | Urban development space general layout Scene Simulation system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109657963B (en) | 2022-04-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Guzman et al. | A cellular automata-based land-use model as an integrated spatial decision support system for urban planning in developing cities: The case of the Bogotá region | |
| Mihalic | Tourism and economic development issues | |
| CN104102953B (en) | A kind of logistics delivery line optimization generation method and system | |
| CN112069573B (en) | City group space simulation method, system and equipment based on cellular automaton | |
| CN111861230B (en) | Disaster emergency-oriented multi-star collaborative observation task planning method and device | |
| CN110263109A (en) | A kind of family's amount evaluation method merging internet information and GIS technology | |
| Riley | Malawian urbanism and urban poverty: geographies of food access in Blantyre | |
| Cavailhès et al. | Residential equilibrium in a multifractal metropolitan area | |
| CN109657963A (en) | A kind of traffic synthesized competitiveness analysis method and system based on global urban three-dimensional coordinate | |
| CN107239853A (en) | A kind of wisdom steward system and its method of work based on cloud computing | |
| Mosadeghi et al. | Coastal management issues in Queensland and application of the multi-criteria decision making techniques | |
| Michaelides et al. | Evaluating the technical efficiency of trolley buses in Athens, Greece | |
| Georgati et al. | Spatially explicit population projections: The case of Copenhagen, Denmark | |
| CN109597871A (en) | A kind of global urban three-dimensional space traffic coordinate-system system and construction method | |
| Park et al. | Multiobjective approach to the transit network design problem with variable demand considering transit equity | |
| Dnistryanskyi et al. | Location of small towns and rural settlements of Ukraine and new realities of the administrative-territorial system: Contradictions and perspectives of mutual influences | |
| Wang et al. | Research on the concessionaire selection for build-operate-transfer projects | |
| CN114038028A (en) | Station degradation face library generation method based on big data of face brushing trip | |
| Fontagné et al. | Trade and Infrastructure Integration in Africa | |
| CN113642773A (en) | City green space pattern optimization method and device, electronic equipment and storage medium | |
| CN117875523B (en) | Bus stop optimizing method based on multi-source data | |
| Omollo | Planning implication of universities growth on land use: Confirmatory evidence from GIS spatial analysis. | |
| Rienstra et al. | Road infrastructure and corridor development | |
| Sharif et al. | Measuring market share of petrol stations using conditional probability approach | |
| Seid | Regional Integration and Trade in Sub-Saharan Africa, 1993–2010: An Augmented Gravity Model |
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 |
Address after: Floor 1-6, west of No. 10 Guangwei Road, Yuexiu District, Guangzhou City, Guangdong Province, 510000 Patentee after: Guangzhou transportation planning and Research Institute Co.,Ltd. Address before: 510000 floor 10, No. 80, Jixiang Road, Guangzhou, Guangdong Patentee before: GUANGZHOU TRANSPORT PLANNING Research Institute |
|
| CP03 | Change of name, title or address |