CN109978411A - A kind of communications and transportation development index building model - Google Patents

A kind of communications and transportation development index building model Download PDF

Info

Publication number
CN109978411A
CN109978411A CN201910283943.2A CN201910283943A CN109978411A CN 109978411 A CN109978411 A CN 109978411A CN 201910283943 A CN201910283943 A CN 201910283943A CN 109978411 A CN109978411 A CN 109978411A
Authority
CN
China
Prior art keywords
index
transportation
communications
development
unification
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.)
Pending
Application number
CN201910283943.2A
Other languages
Chinese (zh)
Inventor
梁仁鸿
汪健
姜彩良
王显光
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Academy of Transportation Sciences
Original Assignee
China Academy of Transportation Sciences
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China Academy of Transportation Sciences filed Critical China Academy of Transportation Sciences
Priority to CN201910283943.2A priority Critical patent/CN109978411A/en
Publication of CN109978411A publication Critical patent/CN109978411A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/16Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Tourism & Hospitality (AREA)
  • Mathematical Physics (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Marketing (AREA)
  • Computational Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Pure & Applied Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Business, Economics & Management (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Game Theory and Decision Science (AREA)
  • Computing Systems (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Algebra (AREA)
  • Primary Health Care (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a kind of communications and transportation development indexes to construct model, belong to technical field of traffic transportation, include the following steps: the building of (1) communications and transportation index index system, includes four steps in the building of communications and transportation index index system: the essential analysis of step A communications and transportation development;Step B preliminary index selection;Step C index screening;Whether step D judge index system is perfect;(2) criterion, criterionization include three steps: step A index unification and step B achievement data nondimensionalization, step C Index Weights;(3) determination of index weights;(4) determination of communications and transportation development index building model.The present invention is by calculating communications and transportation development index, it can effectively reflect interregional Transportation Development Level and communications and transportation Green Development degree, quantization reference, power-assisted Transportation Sustainable Development are provided for Industry regulatory bodies policies, development Analysis of Policy Making.

Description

A kind of communications and transportation development index building model
Technical field
The present invention relates to technical field of traffic transportation more particularly to a kind of communications and transportation development index to construct model.
Background technique
The sustainable development of communications and transportation, it is necessary to be that the sustainable development of transportation system itself and communications and transportation promote The collaboration of the sustainable development of socio-economy is unified.One sustainable transportation system is to support and promote region and country can The necessary basis of sustainable development.Considering from overall national economy, communications and transportation will not only realize the sustainability of its system operation, Also the quality of macroeconomy development is pushed in the frame of overall national economy, including promote Region homogenization development, mitigate warp Pressure etc. of the Ji development to resource environment.It cannot be industry pipe currently without a set of construction method for communications and transportation index Reason department policies carry out Analysis of Policy Making offer quantization reference.
Summary of the invention
(1) the technical issues of solving
In view of the deficiencies of the prior art, the present invention provides a kind of communications and transportation development indexes to construct model, solves mesh It is preceding without a set of construction method for communications and transportation index, cannot for Industry regulatory bodies policies, carry out Analysis of Policy Making The problem of quantization reference is provided.
(2) technical solution
To achieve the above object, the invention provides the following technical scheme: a kind of communications and transportation development index constructs model, packet Include following steps:
(1) building of communications and transportation index index system:
Step A communications and transportation development essential analysis: according to communications and transportation essential attribute, communications and transportation develop intension and Transportation system carrys out the demand of analysis indexes system construction, and according in communications and transportation essential attribute, communications and transportation development Contain and transportation system carries out preliminary index selection;
Step B preliminary index selection: evaluation index primary election, evaluation index selection principle packet are carried out according to evaluation index selection principle Scientific principle, scientific principle, feasibility principle, principle of comparability, parsimony principle and independency principle are included, is in addition commented Valence index also needs empirically to determine that method and teaching method are chosen;
Step C index screening: being screened and examined to the evaluation index chosen in step B, according to " measurable, comparable Property, independence " standard carry out screening index, wherein the screening technique of comparativity includes Specialist Research method, Minimum Mean Square Error method And VC Method;The screening technique of independence includes simple correlation analysis method and partial Correlation Analysis;
Whether step D judge index system is perfect, and perfect expression index system establishment is completed, not perfect to be referred to again Mark primary election;
(2) criterion:
Step A index unification: the index in index system after primary election is subjected to the processing of index unification, the finger The method for marking unification processing includes unification and subtraction unification reciprocal;
Step B achievement data nondimensionalization: will carry out nondimensionalization by unification treated index, the index without The processing method of dimension includes standardization with extreme difference method, minimizing method, rank method, indexation method;
Step C Index Weights: Index Weights, the side of Index Weights will be carried out by the achievement data of nondimensionalization Method includes objective weighted model and subjective weighting method, and wherein subjective weighting method refers to including being researcher according to the judgement of its subjective value A kind of method of fixed each index weight, wherein subjective weighting method includes expert judging method and analytic hierarchy process (AHP);The objective tax Power method is that the statistical indicator of data difference is commonly measured in statistics, and wherein objective weighted model includes VC Method, phase relation Number method, Information Entropy and Principal Component Analysis;
(3) determination of index weights:
Relative importance of the weight to measure every index after standardization, using analytic hierarchy process (AHP) and carries out weight Calculating then in consulting industry on the basis of relevant expert, each index is carried out two first by the assessment indicator system established Two compare, and construct judgment matrix, recycle root method calculate each attribute layer and indicator layer index weights and to judgment matrix into Consistency check is gone;
(4) determination of communications and transportation development index building model:
Gauge index is carried out using weight aggregate index number method, it is first determined the exponential model of attribute layer isWherein Vi is a certain attribute layer index index, and Yi is value of i-th of indicator layer index after standardization, Ui is indicator layer index in the corresponding weight of attribute layer, and n is that the attribute layer index is related to indicator layer index item number, is then calculated The computation model of comprehensive traffic development index, comprehensive traffic development index isWherein ViFor a certain attribute Layer index index, WiIt is attribute layer index in the corresponding weight of destination layer, r is that destination layer index is related to attribute layer index item number.
Preferably, the essential analysis of the step A communications and transportation development in the building of (1) communications and transportation index index system In, the communications and transportation essential attribute includes production attribute, industrial attributes and social property;The communications and transportation develops intension Including productivity and the relations of production;The transportation system includes transportation network and change system, operation and management System and transportation service system three digest journals, selected evaluation index includes traffic infrastructure in step B preliminary index selection Index, transportation service capacity index, Green Development index, safety traffic indicators and economic and social benefits index.
Preferably, in the step C index screening of the building of (1) communications and transportation index index system, Specialist Research method is A kind of method of investigation and study sent a letter, consulted on to industry specialists;In step C index screening, Minimum Mean Square Error method calculation formula is such as Shown in lower:In formula, SjFor target variable XjMean square deviation;N is for being evaluated object Number;xijFor j-th of index in i-th of evaluation object;I, j are the serial number for being respectively evaluated object and index;Step C index sieve It chooses, VC Method calculation formula is as follows:In formula, vjFor target variable XjThe coefficient of variation;N is It is evaluated the number of object;I, j are the serial number for being respectively evaluated object and index.
Preferably, in the step C index screening of the building of (1) communications and transportation index index system, simple correlation analysis Method calculation formula is as follows:In formula, r is the simple correlation coefficient of target variable X and Y;Cov (X, Y) is the covariance of the X and Y of target variable;D (X) is the variance of the X of target variable;D (Y) is the side of the Y of target variable Difference;In step C index screening, partial Correlation Analysis method calculation formula is as follows:In formula, r1,2For the partial correlation coefficient of target variable 1 and 2;r1,3For the simple correlation coefficient of target variable 1 and 3;r2,3For target variable 2 With 3 simple correlation coefficient.
Preferably, in the step A index unification in the processing of (2) index, the index pair of the inverse unification processing As for flyback type index and appropriate type index;For flyback type index, pass through one kind of the reciprocal relationship establishment of positive inverse indicators Inverse transformation mode, its calculation formula isIn formula, Y, X respectively indicate the index before and after unification.C is normal number, is taken C=1, i.e.,For appropriate type index, its calculation formula isWherein, before Y, X respectively indicate unification Index afterwards, the appropriateness value that α is index X.
Preferably, in the step A index unification in the processing of (2) index, the index pair of the subtraction unification processing As for flyback type index and appropriate type index;For flyback type index, subtraction unification formula are as follows: Y=M-X, wherein M is index The upper bound of a permission of X, takes M=0, i.e. Y=-X;For appropriate type index, subtraction unification formula is Y=K- | α-X |, Middle K is normal number, the appropriateness value that α is index X.
Preferably, in the step B achievement data nondimensionalization in the processing of (2) index, the meter of the standardization with extreme difference method Calculation mode isWherein i=1,2 ..., n, j=1,2 ..., m, YijRange 0~1 it Between, each YijThe distribution of value is still identical as the corresponding original distribution of X value, suitable for the nothing in normal distribution or Non-Gaussian Distribution index value The calculation of dimension, the minimizing method isWherein i=1,2 ..., n;J=1,2 ..., m, Yij Range between 1~∞, each YijValue distribution it is still identical as the corresponding original distribution of X value, be suitable for be in normal distribution or it is non-just The nondimensionalization of state distribution index value;The rank method, which refers to, is marked with unification treated index value by sequence from small to large Corresponding rank then makes each index value be converted into the data between 1~n, and n is sample content, and wherein the calculation formula of rank method is Yij=x, wherein x=1,2 ... n;The indexation method refers to that indexation method is to remove the value of each report period of initial data With selected base-period value, the calculation of the indexation method isWherein i=1,2 ..., n;J=1,2 ..., m refer to Numberization method is by the value of each report period of initial data divided by selected base-period value, with nondimensionalization initial data.
Preferably, in the step C Index Weights in the processing of (2) index, the calculation of the VC Method isWherein m evaluation indexes have n evaluation object, and X is raw data matrix, wherein xijIt is the of i-th of object J index value,The standard deviation of each index is calculated first, and the calculation of standard deviation isS in formulajIt indicates the standard deviation of j-th of index, then calculates the coefficient of variation of each index, wherein variation lines Several calculations areThe calculation of the correlation coefficient process isWherein P evaluation refers to Target correlation matrix is R,The P index XpWith the multiple correlation between other P-1 index Coefficient ρp, at this timeRP-1For x1, x2... xp-1Between correlation matrix rp=(r1p, r2p... rp-1p)T, institute With ρp=rp TRp-1 -1rP;The calculation of the Information Entropy isWherein P is the number wherein d of evaluation indexj=1- ej,Wherein, k > 0, ej>=0, entropy ej indicate jth item index;Principal Component Analysis root first According to the feature of things, its assessment indicator system X is determined1, X2... Xp;Secondly, being standardized and calculating to initial data Correlation matrix Z,Again, the characteristic root λ and feature vector A of correlation matrix, and base are asked Contribution rate T and contribution rate of accumulative total E is calculated in characteristic root;Then, the weight coefficient of principal component scores matrix F and the principal component factor is calculated B, if Y is generalized variable and overall target, X is each target variable, is expressed in matrix as Y=FX, the weight coefficient B of the principal component factor It is expressed as B=[b1 b2 L bk],Each index comprehensive score is finally calculated as each index weights and carries out normalizing Change processing, calculation formula are as follows
(3) beneficial effect
The present invention provides a kind of communications and transportation development indexes to construct model, has following the utility model has the advantages that communications and transportation Sustainable development, it is necessary to be transportation system itself sustainable development and communications and transportation promote economic society sustainable development The collaboration of exhibition is unified.One sustainable transportation system is the necessary base for supporting and promoting region and national sustainable development Plinth.Consider from overall national economy, communications and transportation will not only realize the sustainability of its system operation, will also be in overall national warp In the frame of Ji, the quality of macroeconomy development is pushed, including promotes Region homogenization development, mitigates economic development to resource environment Pressure etc..Therefore, by constructing communications and transportation Development Assessment index system, and then communications and transportation development index is calculated, it can Effectively to reflect interregional Transportation Development Level and communications and transportation Green Development degree, formulated for Industry regulatory bodies Policy carries out Analysis of Policy Making offer quantization reference, power-assisted Transportation Sustainable Development.
Detailed description of the invention
Fig. 1 is the building flow chart of communications and transportation index index system of the invention;
Fig. 2 is the overall development condition diagram of comprehensive traffic index of the invention;
Fig. 3 is the trend graph of comprehensive traffic index and each attribute layer of the invention.
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.
As shown in Figure 1, it is proposed that following embodiments:
Embodiment one:
A kind of communications and transportation development index building model, includes the following steps:
(1) building of communications and transportation index index system:
Step A communications and transportation development essential analysis: according to communications and transportation essential attribute, communications and transportation develop intension and Transportation system carrys out the demand of analysis indexes system construction, and according in communications and transportation essential attribute, communications and transportation development Contain and transportation system carry out preliminary index selection, the communications and transportation essential attribute include production attribute, industrial attributes with And social property;It includes productivity and the relations of production that the communications and transportation, which develops intension,;The transportation system includes handing over Logical transportation network and change system, operation and management system and transportation service system three digest journals, the institute in step B preliminary index selection The evaluation index of selection includes traffic infrastructure index, transportation service capacity index, Green Development index, safety traffic indicators And economic and social benefits index;
Step B preliminary index selection: evaluation index primary election, evaluation index selection principle packet are carried out according to evaluation index selection principle Scientific principle, scientific principle, feasibility principle, principle of comparability, parsimony principle and independency principle are included, is in addition commented Valence index also needs empirically to determine that method and teaching method are chosen;
Step C index screening: being screened and examined to the evaluation index chosen in step B, according to " measurable, comparable Property, independence " standard carry out screening index, wherein the screening technique of comparativity includes Specialist Research method, Minimum Mean Square Error method And VC Method, wherein Specialist Research method is a kind of method of investigation and study sent a letter, consulted on to industry specialists;Lowest mean square Poor method calculation formula is as follows:In formula, SjFor target variable XjMean square deviation;N is It is evaluated the number of object;xijFor j-th of index in i-th of evaluation object;I, j are the sequence for being respectively evaluated object and index Number;VC Method calculation formula is as follows:In formula, vjFor target variable XjThe coefficient of variation;N is quilt The number of evaluation object;I, j are the serial number for being respectively evaluated object and index;The screening technique of independence includes simple correlation Analysis method and partial Correlation Analysis, wherein simple correlation analysis method calculation formula is as follows: In formula, r is the simple correlation coefficient of target variable X and Y;Cov (X, Y) is the covariance of the X and Y of target variable;D (X) is to refer to Mark the variance of the X of variable;D (Y) is the variance of the Y of target variable;In step C index screening, partial Correlation Analysis method calculates public Formula is as follows:In formula, r1,2For the partial correlation coefficient of target variable 1 and 2;r1,3For index The simple correlation coefficient of variable 1 and 3;r2,3For the simple correlation coefficient of target variable 2 and 3;
Whether step D judge index system is perfect, and perfect expression index system establishment is completed, not perfect to be referred to again Primary election is marked, 1 communications and transportation development index index system of table is obtained according to the above method
1 communications and transportation development index index system of table
(2) criterion:
Step A index unification: the index in index system after primary election is subjected to the processing of index unification, the finger The method for marking unification processing is unification and subtraction unification reciprocal, wherein the index object of the inverse unification processing is Flyback type index and appropriate type index;For flyback type index, pass through a kind of inversion of the reciprocal relationship establishment of positive inverse indicators Mode is changed, its calculation formula isIn formula, Y, X respectively indicate the index before and after unification, and C is normal number, take C= 1, i.e.,For appropriate type index, its calculation formula isWherein, before and after Y, X respectively indicate unification Index, the appropriateness value that α is index X, the index object handled using the subtraction unification are that flyback type index and appropriate type refer to Mark;For flyback type index, subtraction unification formula are as follows: Y=M-X, the upper bound for the permission that wherein M is index X take M= 0, i.e. Y=-X;For appropriate type index, subtraction unification formula is Y=K- | α-X |, wherein K is normal number, and α is index X's Appropriateness value, unification and subtraction unification reciprocal are selected and are compared, and the following table 2 is unification and subtraction unification mark reciprocal Data comparison after standardization;
Tables of data after the unification reciprocal of table 2 and the standardization of subtraction unification
Step B achievement data nondimensionalization: will carry out nondimensionalization by unification treated index, the index without The processing method of dimension includes the meter of standardization with extreme difference method, minimizing method, rank method, standardization with extreme difference method described in indexation method Calculation mode isWherein i=1,2 ..., n, j=1,2 ..., m, YijRange 0~1 it Between, each YijThe distribution of value is still identical as the corresponding original distribution of X value, suitable for the nothing in normal distribution or Non-Gaussian Distribution index value The calculation of dimension, the minimizing method isWherein i=1,2 ..., n;J=1,2 ..., m, Yij's Range is between 1~∞, each YijThe distribution of value is still identical as the corresponding original distribution of X value, is suitable for being in normal distribution or abnormal The nondimensionalization of distribution index value;The rank method, which refers to, is marked with phase by sequence from small to large for unification treated index value The rank answered then makes each index value be converted into the data between 1~n, and n is sample content, and wherein the calculation formula of rank method is Yij =x, wherein x=1,2 ... n;The indexation method refers to that indexation method is the value by each report period of initial data divided by choosing The calculation of fixed base-period value, the indexation method isWherein i=1,2 ..., n;J=1,2 ..., m, indexation Method is by the value of each report period of initial data divided by selected base-period value, and with nondimensionalization initial data, the following table 3 is various Method nondimensionalization overall merit;
Comprehensive evaluation result and its sequence under the various dimensionless methods of table 3
Step C Index Weights: Index Weights, the side of Index Weights will be carried out by the achievement data of nondimensionalization Method includes objective weighted model and subjective weighting method, and wherein subjective weighting method refers to including being researcher according to the judgement of its subjective value A kind of method of fixed each index weight, wherein subjective weighting method includes expert judging method and analytic hierarchy process (AHP);The objective tax Power method is that the statistical indicator of data difference is commonly measured in statistics, and wherein objective weighted model includes VC Method, phase relation Number method, Information Entropy and Principal Component Analysis, the calculation of the VC Method areWherein m evaluations refer to Mark, has n evaluation object, X is raw data matrix, wherein xijFor j-th of index value of i-th of object,The standard deviation of each index is calculated first, and the calculation of standard deviation isFormula Middle SjIt indicates the standard deviation of j-th of index, then calculates the coefficient of variation of each index, wherein the calculation of the coefficient of variation isThe calculation of the correlation coefficient process isThe wherein related coefficient square of P evaluation index Battle array is R,The P index XpWith the multiple correlation coefficient ρ between other P-1 indexp, at this timeRP-1For x1, x2 ... xp-1Between correlation matrix rp=(r1p,r2p... rp-1p)T, so ρp= rp TRp-1 -1rP;The calculation of the Information Entropy isWherein P is the number wherein d of evaluation indexj=1-ej,Wherein, k > 0, ej>=0, entropy ej indicate jth item index;The Principal Component Analysis is first according to thing The feature of object determines its assessment indicator system X1, X2... Xp;Secondly, being standardized to initial data and calculating correlation Coefficient matrix Z,Again, the characteristic root λ and feature vector A of correlation matrix, and base are asked Contribution rate T and contribution rate of accumulative total E is calculated in characteristic root;Then, the weight coefficient of principal component scores matrix F and the principal component factor is calculated B, if Y is generalized variable and overall target, X is each target variable, is expressed in matrix as Y=FX, the weight coefficient B of the principal component factor It is expressed as B=[b1 b2 L bk],Each index comprehensive score is finally calculated as each index weights and carries out normalizing Change processing, calculation formula are as follows
(3) determination of index weights:
Relative importance of the weight to measure every index after standardization, using analytic hierarchy process (AHP) and carries out weight Calculating then in consulting industry on the basis of relevant expert, each index is carried out two first by the assessment indicator system established Two compare, and construct judgment matrix, recycle root method calculate each attribute layer and indicator layer index weights and to judgment matrix into Consistency check is gone, the following table 4 is the calculated result of index weights;
The calculated result of 4 index weights of table
(4) determination of communications and transportation development index building model:
Gauge index is carried out using weight aggregate index number method, it is first determined the exponential model of attribute layer isWherein Vi is a certain attribute layer index index, and Yi is value of i-th of indicator layer index after standardization, Ui is indicator layer index in the corresponding weight of attribute layer, and n is that the attribute layer index is related to indicator layer index item number, is then calculated The computation model of comprehensive traffic development index, comprehensive traffic development index isWherein ViFor a certain attribute Layer index index, WiIt is attribute layer index in the corresponding weight of destination layer, r is that destination layer index is related to attribute layer index item number, The following table 5 is final index calculated result.
5 index calculated result of table
According to the calculated result of above-mentioned index, alteration trend and the country of the Research on formula for calculating index of index can use Relationship between the alteration trend of total output value,
Transformation relation of the table 6 between comprehensive traffic index and GDP
There are higher positive correlation between ITDI index and GDP (GDP), related coefficient reaches 0.996, very close 1, it indicates the in close relations of the two, can further do regression analysis, disclose and simultaneously determine ITDI index and state Relationship between interior total output value makes the fitting result of GDP using the regression model of regression analysis, as shown in table 7 below:
The fitting result of 7 GDP of table
According to upper table comprehensive traffic development index one unit of every increase, GDP will increase by 8603.259 hundred million yuan, therefore Corresponding measure can be taken to accelerate the development progress of comprehensive traffic to promote the development of economy, this and country and relevant industrial department pair The development orientation of communications and transportation is perfectly in harmony.By the GDP value of Regression Model Simulator it is found that quasi- compared with actual GDP value Conjunction value and the mean error of true value nearly ten years are 2.5%, and the precision of fitting is higher, therefore can be based on regression model and establishment Comprehensive traffic development index predict the GDP value in the following year, to reflect the development trend and substantially of national economy level Scale formulates corresponding policy for country and provides the reference frame of quantification.In conclusion being commented by building communications and transportation development Valence index index model, and then communications and transportation development index is calculated, it can effectively reflect interregional communications and transportation development Horizontal and communications and transportation Green Development degree provides quantization reference for Industry regulatory bodies policies, development Analysis of Policy Making, helps Power Transportation Sustainable Development.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that There is also other identical elements in process, method, article or equipment including the element.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding And modification, the scope of the present invention is defined by the appended.

Claims (8)

1. a kind of communications and transportation development index constructs model, characterized by the following steps:
(1) building of communications and transportation index index system:
The essential analysis of step A communications and transportation development: intension and traffic are developed according to communications and transportation essential attribute, communications and transportation Transportation system carrys out the demand of analysis indexes system construction, and according to communications and transportation essential attribute, communications and transportation develop intension with And transportation system carries out preliminary index selection;
Step B preliminary index selection: evaluation index primary election is carried out according to evaluation index selection principle, evaluation index selection principle includes section The property learned principle, scientific principle, feasibility principle, principle of comparability, parsimony principle and independency principle, in addition evaluation refers to Mark also needs empirically to determine that method and teaching method are chosen;
Step C index screening: being screened and examined to the evaluation index chosen in step B, according to " can measure, comparativity, solely The standard of vertical property " carries out screening index, and wherein the screening technique of comparativity includes Specialist Research method, Minimum Mean Square Error method and change Different Y-factor method Y;The screening technique of independence includes simple correlation analysis method and partial Correlation Analysis;
Whether step D judge index system is perfect, and perfect expression index system establishment is completed, at the beginning of the not perfect index of progress again Choosing;
(2) criterion:
Step A index unification: the index in index system after primary election is subjected to the processing of index unification, the index one The method of causeization processing includes unification and subtraction unification reciprocal;
Step B achievement data nondimensionalization: nondimensionalization, the index dimensionless will be carried out by unification treated index The processing method of change includes standardization with extreme difference method, minimizing method, rank method, indexation method;
Step C Index Weights: Index Weights, the method packet of Index Weights will be carried out by the achievement data of nondimensionalization Objective weighted model and subjective weighting method are included, wherein subjective weighting method judges including being researcher according to its subjective value come specified each A kind of method of index weight, wherein subjective weighting method includes expert judging method and analytic hierarchy process (AHP);The objective weighted model That the statistical indicator of data difference is commonly measured in statistics, wherein objective weighted model include VC Method, correlation coefficient process, Information Entropy and Principal Component Analysis;
(3) determination of index weights:
Relative importance of the weight to measure every index after standardization, the meter of weight is carried out using analytic hierarchy process (AHP) It calculates, first by the assessment indicator system established, then in consulting industry on the basis of relevant expert, each index is compared two-by-two Compared with constructing judgment matrix, recycle root method to calculate each attribute layer and indicator layer index weights and carried out to judgment matrix Consistency check;
(4) determination of communications and transportation development index building model:
Gauge index is carried out using weight aggregate index number method, it is first determined the exponential model of attribute layer isIts Middle Vi is a certain attribute layer index index, and Yi is value of i-th of indicator layer index after standardization, and Ui is that indicator layer index exists The corresponding weight of attribute layer, n are that the attribute layer index is related to indicator layer index item number, then calculate comprehensive traffic development and refer to Number, the computation model of comprehensive traffic development index areWherein ViFor a certain attribute layer index index, WiFor For attribute layer index in the corresponding weight of destination layer, r is that destination layer index is related to attribute layer index item number.
2. a kind of communications and transportation development index according to claim 1 constructs model, it is characterised in that: transported in (1) traffic In the essential analysis of step A communications and transportation development in the building of defeated index index system, the communications and transportation essential attribute packet Include production attribute, industrial attributes and social property;It includes productivity and the relations of production that the communications and transportation, which develops intension,;Institute Stating transportation system includes transportation network and change system, operation and management system and transportation service system three system greatly System, in step B preliminary index selection selected evaluation index include traffic infrastructure index, it is transportation service capacity index, green Chromogenic development index, safety traffic indicators and economic and social benefits index.
3. a kind of communications and transportation development index according to claim 1 constructs model, it is characterised in that: transported in (1) traffic In the step C index screening of the building of defeated index index system, Specialist Research method is a kind of to send a letter, consult on to industry specialists Method of investigation and study;In step C index screening, Minimum Mean Square Error method calculation formula is as follows:In formula, SjFor target variable XjMean square deviation;N is the number for being evaluated object;xijFor J-th of index in i-th of evaluation object;I, j are the serial number for being respectively evaluated object and index;In step C index screening, become Different Y-factor method Y calculation formula is as follows:In formula, vjFor target variable XjThe coefficient of variation;N is to be evaluated pair The number of elephant;I, j are the serial number for being respectively evaluated object and index.
4. a kind of communications and transportation development index according to claim 1 constructs model, it is characterised in that: transported in (1) traffic In the step C index screening of the building of defeated index index system, simple correlation analysis method calculation formula is as follows:In formula, r is the simple correlation coefficient of target variable X and Y;Cov (X, Y) is the X's and Y of target variable Covariance;D (X) is the variance of the X of target variable;D (Y) is the variance of the Y of target variable;In step C index screening, partial correlation Analysis method calculation formula is as follows:In formula, r1,2For the partial correlation of target variable 1 and 2 Coefficient;r1,3For the simple correlation coefficient of target variable 1 and 3;r2,3For the simple correlation coefficient of target variable 2 and 3.
5. a kind of communications and transportation development index according to claim 1 constructs model, it is characterised in that: at (2) index In step A index unification in reason, the index object of the inverse unification processing is flyback type index and appropriate type index; For flyback type index, by a kind of inverse transformation mode of the reciprocal relationship establishment of positive inverse indicators, its calculation formula isIn formula, Y, X respectively indicate the index before and after unification.C is normal number, takes C=1, i.e.,For appropriateness Type index, its calculation formula isWherein, Y, X respectively indicate the index before and after unification, and α is the appropriateness of index X Value.
6. a kind of communications and transportation development index according to claim 1 constructs model, it is characterised in that: at (2) index In step A index unification in reason, the index object of the subtraction unification processing is flyback type index and appropriate type index; For flyback type index, subtraction unification formula are as follows: Y=M-X, the upper bound for the permission that wherein M is index X take M=0, i.e., Y=-X;For appropriate type index, subtraction unification formula is Y=K- | α-X |, wherein K is normal number, and α is the appropriateness of index X Value.
7. a kind of communications and transportation development index according to claim 1 constructs model, it is characterised in that: at (2) index In step B achievement data nondimensionalization in reason, the calculation of the standardization with extreme difference method isWherein i=1,2 ..., n, j=1,2 ..., m, YijRange between 0~1, each YijValue Distribution it is still identical as the corresponding original distribution of X value, suitable for being in the nondimensionalization of normal distribution or Non-Gaussian Distribution index value, institute The calculation for stating minimizing method isWherein i=1,2 ..., n;J=1,2 ..., m, YijRange 1 Between~∞, each YijThe distribution of value is still identical as the corresponding original distribution of X value, is suitable for being in normal distribution or Non-Gaussian Distribution index The nondimensionalization of value;The rank method, which refers to, is marked with corresponding order by sequence from small to large for unification treated index value It is secondary, then so that each index value is converted into the data between 1~n, n is sample content, and wherein the calculation formula of rank method is Yij=x, Middle x=1,2 ... n;The indexation method refers to that indexation method is the value by each report period of initial data divided by selected base The calculation of time value, the indexation method isWherein i=1,2 ..., n;J=1,2 ..., m, indexation method be by The value of each report period of initial data is divided by selected base-period value, with nondimensionalization initial data.
8. a kind of communications and transportation development index according to claim 1 constructs model, it is characterised in that: at (2) index In step C Index Weights in reason, the calculation of the VC Method isWherein m evaluation indexes, There is n evaluation object, X is raw data matrix, wherein xijFor j-th of index value of i-th of object,The standard deviation of each index is calculated first, and the calculation of standard deviation isFormula Middle SjIt indicates the standard deviation of j-th of index, then calculates the coefficient of variation of each index, wherein the calculation of the coefficient of variation isThe calculation of the correlation coefficient process isThe wherein related coefficient square of P evaluation index Battle array is R,The P index XpWith the multiple correlation coefficient ρ between other P-1 indexp, at this timeRP-1For x1, x2... xp-1Between correlation matrix rp=(r1p, r2p... rp-1p)T, so ρp=rp TRp-1 - 1rP;The calculation of the Information Entropy isWherein P is the number wherein d of evaluation indexj=1-ej,Wherein, k > 0, ej>=0, entropy ej indicate jth item index;The Principal Component Analysis is first according to thing The feature of object determines its assessment indicator system X1, X2... Xp;Secondly, being standardized to initial data and calculating correlation Coefficient matrix Z,Again, the characteristic root λ and feature vector A of correlation matrix, and base are asked Contribution rate T and contribution rate of accumulative total E is calculated in characteristic root;Then, the weight coefficient of principal component scores matrix F and the principal component factor is calculated B, if Y is generalized variable and overall target, X is each target variable, is expressed in matrix as Y=FX, the weight coefficient B of the principal component factor It is expressed as B=[b1 b2 L bk],Each index comprehensive score is finally calculated as each index weights and carries out normalizing Change processing, calculation formula are as follows
CN201910283943.2A 2019-04-10 2019-04-10 A kind of communications and transportation development index building model Pending CN109978411A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910283943.2A CN109978411A (en) 2019-04-10 2019-04-10 A kind of communications and transportation development index building model

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910283943.2A CN109978411A (en) 2019-04-10 2019-04-10 A kind of communications and transportation development index building model

Publications (1)

Publication Number Publication Date
CN109978411A true CN109978411A (en) 2019-07-05

Family

ID=67083910

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910283943.2A Pending CN109978411A (en) 2019-04-10 2019-04-10 A kind of communications and transportation development index building model

Country Status (1)

Country Link
CN (1) CN109978411A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110675083A (en) * 2019-10-08 2020-01-10 国家计算机网络与信息安全管理中心 Comprehensive recommendation method and device in scientific and technological field
CN112381560A (en) * 2020-10-23 2021-02-19 东北石油大学 Shared equipment product market prediction system and method
CN113902098A (en) * 2021-09-30 2022-01-07 云天弈(广州)智能科技有限公司 Multi-type data parallel learning method and device, computer equipment and medium
CN114418389A (en) * 2022-01-17 2022-04-29 安徽省道路运输管理服务中心 Construction method of traffic transportation development index model based on evaluation index system

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110675083A (en) * 2019-10-08 2020-01-10 国家计算机网络与信息安全管理中心 Comprehensive recommendation method and device in scientific and technological field
CN112381560A (en) * 2020-10-23 2021-02-19 东北石油大学 Shared equipment product market prediction system and method
CN113902098A (en) * 2021-09-30 2022-01-07 云天弈(广州)智能科技有限公司 Multi-type data parallel learning method and device, computer equipment and medium
CN114418389A (en) * 2022-01-17 2022-04-29 安徽省道路运输管理服务中心 Construction method of traffic transportation development index model based on evaluation index system

Similar Documents

Publication Publication Date Title
CN109978411A (en) A kind of communications and transportation development index building model
Dong et al. Carbon emissions, the industrial structure and economic growth: Evidence from heterogeneous industries in China
CN102930482A (en) Investment effect evaluation method for county power distribution networks
CN106682809A (en) Enterprise BIM technology application capability quantification assessment method
CN104318482A (en) Comprehensive assessment system and method of smart distribution network
CN103632203A (en) Distribution network power supply area division method based on comprehensive evaluation
CN103617371A (en) Method for comprehensively evaluating electric energy quality based on grey theory
CN104837184A (en) Heterogeneous wireless network selection method based on interval triangular fuzzy number
CN105512465A (en) Cloud platform safety quantitative evaluation method based on improved VIKOR method
CN109003010A (en) The evaluation method of power grid project investment benefit
Mingran Measurement and spatial statistical analysis of green science and technology innovation efficiency among Chinese Provinces
CN108461150A (en) A kind of occupational health forecasting research method
CN101739614A (en) Hierarchy-combined prediction method for communication service
CN111401701A (en) Comprehensive evaluation method for comprehensive transportation system
Du et al. A hybrid group-making decision framework for regional distribution network outage loss assessment based on fuzzy best-worst and MARCOS methods
CN107145995A (en) Production environment safety prediction methods, devices and systems
CN102201106A (en) Technical evaluation method for fermenting or chemical synthesis based pharmaceutical wastewater treatment
Motaghifard et al. Introducing a conceptual model for evaluating health safety environmental performance of residential buildings using the fuzzy decision-making approach
CN106485466A (en) A kind of project management system
El Hadidi et al. Evaluation of a building Life Cycle Cost (LCC) criteria in Egypt using the Analytic Hierarchy Process (AHP)
CN109657967A (en) A kind of confirmation method and system of Transmission Expansion Planning in Electric evaluating indexesto scheme weight
CN114647947A (en) Unit cost prediction method, device, electronic device and computer readable storage medium
Liu et al. Research into the dynamic development trend of the competitiveness of China’s regional construction industry
CN114298598A (en) Urban high-reliability medium-voltage distribution network wiring mode comprehensive evaluation method
CN108694527B (en) Power distribution network evaluation method

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190705