Method, system and equipment for generating traffic and logistics system coordinated development scheme

Abstract

The invention discloses a traffic and logistics system coordinated development scheme generation method, system and equipment, and the method comprises the steps: obtaining first operation data and second operation data, constructing and solving a correlation coefficient matrix to obtain a first feature value and a second feature value, carrying out the screening to obtain a first principal component and a second principal component, and carrying out the calculation of the first principal component and the second principal component. And weighting the first operation data and the second operation data to obtain a first development index and a second development index, constructing a coupling model, solving to obtain a coupling coordination degree, and generating a traffic and logistics system coordination development scheme. Compared with the existing DEA model research, the coupling model constructed by the embodiment of the invention overcomes the limitation of a single linear relationship, can provide a scientific theoretical basis for quantitative measurement and calculation of evaluation indexes such as the coupling degree and the coupling coordination degree, can effectively elaborate the coordination development level among multiple systems, and has a good application prospect. And clear suggestions are provided for the improvement direction of a traffic system and a logistics system.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method, system and device for generating a coordinated development plan for a transportation and logistics system. Background Art

[0002] As an important part of the modern economy, logistics plays an important role in the national economy and social development. For some transportation hubs such as airports, docks and railway stations, they need to bear the pressure of passenger and logistics transportation at the same time. In recent years, with the continuous increase in passenger transportation volume, the transportation systems around many transportation hubs have been overwhelmed. Problems such as insufficient road network planning, low road network density and poor road conditions have become increasingly prominent. Highway traffic congestion occurs from time to time, especially in the landside transportation system. The road speed is slow, which indirectly affects the operation status of the surrounding road system and seriously affects the efficiency of passenger and freight transportation.

[0003] The current research on the coordination relationship between the development of transportation system and logistics system mainly uses DEA model and its variants, and the research method is relatively simple. This method has limitations in the research, and the actual meaning of the indicators finally obtained is difficult to explain and understand; moreover, the model of this method is based on linear relationship, which is inconsistent with the actual situation. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide a method, system and equipment for generating a coordinated development plan for transportation and logistics systems, which can effectively integrate various operating data into the study of the coordinated relationship between the development of the transportation system and the logistics system, and obtain the strength and nature of the interdependence between the transportation system and the logistics system, and can propose improvement measures for the transportation system and the logistics system in a targeted manner to promote overall coordinated development.

[0005] To achieve the above-mentioned purpose, an embodiment of the present invention provides a method for generating a coordinated development plan for a transportation and logistics system, comprising:

[0006] Acquire first operation data of the transportation system and second operation data of the logistics system; wherein the first operation data includes infrastructure data, passenger flow capacity data, transportation operation data and investment data, and the second operation data includes logistics capacity data, logistics gross production value and total population of the economic zone;

[0007] respectively constructing correlation coefficient matrices of the first operating data and the second operating data, solving the correlation coefficient matrices, and obtaining a first eigenvalue of the transportation system and a second eigenvalue of the logistics system;

[0008] According to the first eigenvalue and the second eigenvalue, a first principal component of the transportation system is obtained from the first operation data, and a second principal component of the logistics system is obtained from the second operation data;

[0009] weighting the first operation data and the second operation data according to the first principal component and the second principal component to obtain a first development index of the transportation system and a second development index of the logistics system;

[0010] According to the first development index and the second development index, a coupling model of a transportation system and a logistics system is constructed, and the coupling model is solved to obtain a coupling coordination degree between the transportation system and the logistics system;

[0011] According to the coupling coordination degree, a coordinated development plan for the transportation and logistics systems is generated, and the transportation system and the logistics system are adjusted according to the coordinated development plan.

[0012] As an improvement of the above scheme, the infrastructure data includes highway mileage, road network density and expressway ratio; the passenger flow capacity data includes passenger car ownership and passenger throughput; the traffic operation data includes traffic index, traffic saturation and average vehicle speed;

[0013] The logistics capacity data include the number of trucks in use, cargo and mail throughput, cargo and mail turnover and express delivery volume; the logistics gross production value includes the transportation gross production value, warehousing gross production value, postal industry gross production value and postal revenue.

[0014] As an improvement of the above solution, respectively constructing correlation coefficient matrices of the first operating data and the second operating data, solving the correlation coefficient matrices, and obtaining the first eigenvalue of the transportation system and the second eigenvalue of the logistics system include:

[0015] Standardizing the first operating data and the second operating data according to the respective sample means and sample standard deviations of the first operating data and the second operating data to obtain first standard operating data and second standard operating data;

[0016] constructing a correlation coefficient matrix of a transportation system according to the first standard operation data; constructing a correlation coefficient matrix of a logistics system according to the second operation data;

[0017] The Jacobi method is used to solve the correlation coefficient matrices of the transportation system and the logistics system respectively, so as to obtain the first eigenvalue of the transportation system and the second eigenvalue of the logistics system.

[0018] As an improvement of the above solution, the first principal component of the transportation system is obtained from the first operation data according to the first eigenvalue and the second eigenvalue, and the second principal component of the logistics system is obtained from the second operation data according to the first eigenvalue, including:

[0019] Calculating a first contribution rate of the first operating data according to the first eigenvalue, and calculating a second contribution rate of the second operating data according to the second eigenvalue;

[0020] Calculating a first cumulative contribution rate of the first operating data according to the first contribution rate, and calculating a second cumulative contribution rate of the second operating data according to the second contribution rate;

[0021] The first operating data whose first cumulative contribution rate is greater than n is taken as a first principal component, and the second operating data whose second cumulative contribution rate is greater than m is taken as a second principal component.

[0022] As an improvement of the above solution, calculating a first contribution rate of the first operating data according to the first eigenvalue, and calculating a second contribution rate of the second operating data according to the second eigenvalue, includes:

[0023] According to the first characteristic value, a correlation coefficient between the first operating data is obtained; if the correlation coefficient between a certain first operating data and more than half of the first operating data is greater than z, the certain first operating data is eliminated and the first operating data is updated;

[0024] According to the second characteristic value, a correlation coefficient between the second operating data is obtained; if the correlation coefficient between a certain second operating data and more than half of the second operating data is greater than z, the certain second operating data is eliminated and the second operating data is updated;

[0025] Calculating a first contribution rate of the updated first operating data according to the first characteristic value;

[0026] A second contribution rate of the updated second operating data is calculated according to the second characteristic value.

[0027] As an improvement of the above solution, the first operation data and the second operation data are weighted according to the first principal component and the second principal component to obtain the first development index of the transportation system and the second development index of the logistics system, including:

[0028] According to the first principal component, a first eigenvalue corresponding to the first principal component is obtained as the first principal component eigenvalue;

[0029] Calculate a first eigenvector of each of the first operating data under the first principal component eigenvalue;

[0030] According to the second principal component, a second eigenvalue corresponding to the second principal component is obtained as the second principal component eigenvalue;

[0031] Calculate a second eigenvector of each of the second operating data under the second principal component eigenvalue;

[0032] Using an entropy weight method, calculating a first weight of the first operating data and a second weight of the second operating data;

[0033] weighting the first operation data according to the first weight to calculate a first development index of the transportation system;

[0034] The second operating data is weighted according to the second weight, and a second development index of the logistics system is calculated.

[0035] As an improvement of the above solution, constructing a coupling model of the transportation system and the logistics system according to the first development index and the second development index, and solving the coupling model to obtain the coupling coordination degree between the transportation system and the logistics system includes:

[0036] The comprehensive development index of the transportation system and logistics system is calculated by T = αU1 + βU2;

[0037] pass Calculate the coupling degree between transportation system and logistics system;

[0038] according to Construct a coupling model of transportation system and logistics system;

[0039] Solving the coupling model to obtain the coupling coordination degree D between the transportation system and the logistics system;

[0040] Among them, U1 is the first development index, U2 is the second development index, α and β are preset development coefficients, and α+β=1.

[0041] As an improvement of the above scheme, generating a coordinated development plan of the transportation and logistics systems according to the coupling coordination degree, and adjusting the transportation system and the logistics system according to the coordinated development plan include:

[0042] Taking the highest coupling coordination degree as the optimization goal, generating a first adjustment value of the first operation data and a second adjustment value of the second operation data as a coordinated development plan for the transportation and logistics system;

[0043] The transportation system is adjusted according to the first adjustment value, and the logistics system is adjusted according to the second adjustment value.

[0044] The embodiment of the present invention also provides a system for generating a coordinated development plan for a transportation and logistics system, including:

[0045] A data acquisition module, used to acquire first operation data of the transportation system and second operation data of the logistics system; wherein the first operation data includes infrastructure data, passenger flow capacity data, transportation operation data and investment data, and the second operation data includes logistics capacity data, logistics gross production value and total population of the economic zone;

[0046] A correlation coefficient matrix solving module, used to construct correlation coefficient matrices of the first operation data and the second operation data respectively, solve the correlation coefficient matrices, and obtain the first eigenvalue of the transportation system and the second eigenvalue of the logistics system;

[0047] a principal component analysis module, configured to filter out a first principal component of the transportation system from the first operation data and a second principal component of the logistics system from the second operation data according to the first eigenvalue and the second eigenvalue;

[0048] a development index calculation module, configured to weight the first operation data and the second operation data according to the first principal component and the second principal component to obtain a first development index of the transportation system and a second development index of the logistics system;

[0049] A coupling coordination degree calculation module, used to construct a coupling model of a transportation system and a logistics system according to the first development index and the second development index, and solve the coupling model to obtain the coupling coordination degree of the transportation system and the logistics system;

[0050] The scheme generation module is used to generate a coordinated development scheme for the transportation and logistics systems according to the coupling coordination degree, and adjust the transportation system and the logistics system according to the coordinated development scheme.

[0051] An embodiment of the present invention also provides a device for generating a coordinated development plan for a transportation and logistics system, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, it implements a method for generating a coordinated development plan for a transportation and logistics system as described in any one of the above.

[0052] Compared with the prior art, the method, system and equipment for generating a coordinated development plan for a transportation and logistics system disclosed in the present invention, by combining principal component analysis and entropy weight method, constructs a coupling model of a transportation system and a logistics system. Compared with the existing DEA model research, it overcomes the limitation of a single linear relationship and can provide a scientific theoretical basis for the quantitative rather than qualitative measurement of evaluation indicators such as the comprehensive development index, coupling degree and coupling coordination degree. These evaluation indicators can effectively explain the level of coordinated development among multiple systems and provide clear opinions on the improvement direction of the transportation system and the logistics system. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a schematic diagram of the steps of a method for generating a coordinated development plan of a transportation and logistics system provided by an embodiment of the present invention;

[0054] Figure 2 It is a structural schematic diagram of a system for generating a coordinated development plan for a transportation and logistics system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] In the description of the specification and claims, it is to be understood that the terms first, second, etc. in the specification and claims are only used for the purpose of describing the same technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated, nor necessarily describing the order or time sequence. The terms are interchangeable where appropriate. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features.

[0057] See also Figure 1 , an embodiment of the present invention provides a schematic flow chart of the steps of a method for generating a coordinated development plan for a transportation and logistics system. In this embodiment, the generation of the coordinated development plan for a transportation and logistics system is specifically performed through steps S1 to S6:

[0058] S1. Obtain first operating data of the transportation system and second operating data of the logistics system; wherein the first operating data includes infrastructure data, passenger capacity data, transportation operation data and investment data, and the second operating data includes logistics capacity data, logistics gross output value and total population of the economic zone.

[0059] Preferably, in some embodiments, the infrastructure data includes highway mileage, road network density and expressway ratio; the passenger flow capacity data includes passenger vehicle ownership and passenger throughput; the traffic operation data includes traffic index, traffic saturation and average vehicle speed;

[0060] The logistics capacity data include the number of trucks in use, cargo and mail throughput, cargo and mail turnover and express delivery volume; the logistics gross production value includes the transportation gross production value, warehousing gross production value, postal industry gross production value and postal revenue.

[0061] In the embodiment of the present invention, an evaluation index system for the transportation system is established from four dimensions, namely, infrastructure data, passenger capacity data, traffic operation data and investment data; and an evaluation index system for the logistics system is established from three dimensions, namely, logistics capacity data, logistics gross domestic product and total population of the economic zone. This enables a comprehensive analysis of the development of the transportation system and the logistics system.

[0062] It should be noted that both the first operating data and the second operating data include operating data at different times. In some embodiments, the operating data at the same time each year is used as the operating data for that year. In other embodiments, the average operating data at several typical time points each year is used as the operating data for that year. By obtaining the first operating data and the second operating data, it is possible to qualitatively analyze the impact of various operating data on the two systems, thereby providing a reference for the subsequent construction of a coupling model.

[0063] S2. Construct correlation coefficient matrices of the first operating data and the second operating data respectively, solve the correlation coefficient matrices, and obtain the first eigenvalue of the transportation system and the second eigenvalue of the logistics system.

[0064] By constructing a correlation coefficient matrix, the influence of each data indicator in the first operating data on the traffic system can be obtained, that is, the first eigenvalue. The larger the first eigenvalue, the greater the comprehensive influence of the data on each data indicator in the traffic system. By adopting the embodiment of the present invention, it is possible to reduce the dimension of several data indicators that will affect the traffic system and lock in data indicators that have a significant impact on the traffic system. It can be understood that the second eigenvalue plays a similar role to the first eigenvalue in the embodiment of the present invention.

[0065] Exemplarily, in an embodiment of the present invention, by solving the correlation coefficient matrix through SPSS software, the first eigenvalue and the second eigenvalue, as well as the eigenvectors corresponding to each first eigenvalue and each second eigenvalue can be obtained.

[0066] S3. According to the first eigenvalue and the second eigenvalue, a first principal component of the transportation system is obtained from the first operation data, and a second principal component of the logistics system is obtained from the second operation data.

[0067] It is understandable that principal component analysis actually obtains y=α1x1+α2x2+…+α n x n , where y is the principal component, x1, x2, …, x n are the influencing factors of the main component y, α1, α2, …, α n is the load factor.

[0068] It should be noted that, in the embodiment of the present invention, the characteristic value corresponding to the first operating data is the importance of the operating data indicator in the transportation system. Therefore, according to the first characteristic value, the first principal component of the transportation system can be screened from the first operating data, and the operating data in the first operating data except the first principal component can be regarded as the influencing factor of the first principal component. It can be understood that the relationship between the second principal component and the second operating data in the logistics system is consistent with the relationship between the first principal component and the first operating data in the transportation system, which will not be repeated here.

[0069] S4. Weighting the first operating data and the second operating data according to the first principal component and the second principal component to obtain a first development index of the transportation system and a second development index of the logistics system.

[0070] In an embodiment of the present invention, by extracting the principal component and further weighting the first operating data and the second operating data, it is possible to clarify whether each operating data is a positive indicator or a negative indicator for the first principal component of the transportation system or the second principal component of the logistics system, which is beneficial for adjusting each indicator when subsequently generating a coordinated development plan.

[0071] It should be noted that the first development index is the development status of the transportation system under the first operating data headed by the first principal component, and the second development index is the development status of the logistics system under the second operating data headed by the second principal component.

[0072] S5. Construct a coupling model of the transportation system and the logistics system according to the first development index and the second development index, and solve the coupling model to obtain the coupling coordination degree between the transportation system and the logistics system.

[0073] By establishing a coupling model of the transportation system and the logistics system, the coupling relationship between the two can be quantitatively evaluated. The higher the coupling degree, the stronger the mutual promotion of the development between the systems. Conversely, there is mutual restriction between the systems. The coupling coordination degree between the transportation system and the logistics system can also be further obtained to effectively analyze their internal influencing factors.

[0074] S6. Generate a coordinated development plan for the transportation and logistics systems based on the coupling coordination degree, and adjust the transportation system and the logistics system according to the coordinated development plan.

[0075] In the above scheme, by combining the principal component analysis method and the entropy weight method, the coupling model of the transportation system and the logistics system constructed overcomes the limitation of the single linear relationship compared with the existing DEA model research, and can provide a scientific theoretical basis for the quantitative rather than qualitative measurement of evaluation indicators such as the comprehensive development index, coupling degree and coupling coordination degree. These evaluation indicators can effectively explain the level of coordinated development among multiple systems and provide clear opinions on the improvement direction of the transportation system and logistics system.

[0076] As a preferred implementation, step S2, respectively constructing correlation coefficient matrices of the first operating data and the second operating data, solving the correlation coefficient matrices, obtaining the first eigenvalue of the transportation system and the second eigenvalue of the logistics system, is performed through steps S21 to S23:

[0077] S21. Standardize the first operating data and the second operating data according to their respective sample means and sample standard deviations to obtain first standard operating data and second standard operating data.

[0078] In some embodiments, the normalization process in step S2 is a Z-Score normalization method, which can well evaluate the distance between the sample point and the overall sample mean.

[0079]

[0080] The first operation data and the second operation data are standardized; when the first operation data is standardized, m is the number of samples, p is the number of indicators of the first operation data in each sample, and X ji is the initial value of the i-th first running data of the j-th sample, is the value of the first i-th run data of the j-th sample after normalization, is the sample mean of the first running data of the ith time, S iis the sample standard deviation of the i-th first running data; when the second running data is standardized, m is the number of samples, p is the number of indicators of the second running data in each sample, and X ji is the initial value of the i-th second running data of the j-th sample, is the normalized value of the second i-th running data of the j-th sample, is the sample mean of the second running data of the ith period, S i is the sample standard deviation of the i-th second run data.

[0081] S22. Construct a correlation coefficient matrix of a transportation system based on the first standard operation data; and construct a correlation coefficient matrix of a logistics system based on the second standard operation data.

[0082] In some embodiments, by

[0083]

[0084] Construct the correlation coefficient matrix of the transportation system, where r ij is the correlation coefficient between the i-th first standard operation data and the j-th first standard operation data, x ki is the i-th first standard running data in the k-th sample, is the sample mean of the i-th first standard run data, x kj is the jth first standard running data in the kth sample, is the sample mean of the jth first standard operation data. The method of constructing the correlation coefficient matrix of the logistics system is consistent with the method of constructing the correlation coefficient matrix of the transportation system, which will not be repeated here.

[0085] S23. Using the Jacobi method, respectively solve the correlation coefficient matrices of the transportation system and the logistics system to obtain the first eigenvalue of the transportation system and the second eigenvalue of the logistics system.

[0086] Exemplarily, the characteristic equation is generated according to the above correlation coefficient matrix:

[0087] |λI-R|=0 (3);

[0088] Solving the correlation coefficient matrix is ​​also solving the characteristic equation. By solving the characteristic equation, we can get the eigenvalue λ=λ i (i=1, 2, ..., p), it should be noted that, in the embodiment of the present invention, λ i They are arranged in order of size, i.e., λ1≥λ2≥…≥λ p .

[0089] As a preferred implementation, step S3, based on the first eigenvalue and the second eigenvalue, screening out the first principal component of the transportation system from the first operation data, and screening out the second principal component of the logistics system from the second operation data, includes:

[0090] Calculating a first contribution rate of the first operating data according to the first eigenvalue, and calculating a second contribution rate of the second operating data according to the second eigenvalue;

[0091] Calculating a first cumulative contribution rate of the first operating data according to the first contribution rate, and calculating a second cumulative contribution rate of the second operating data according to the second contribution rate;

[0092] The first operating data whose first cumulative contribution rate is greater than n is taken as a first principal component, and the second operating data whose second cumulative contribution rate is greater than m is taken as a second principal component.

[0093] In some embodiments, the formula for calculating the contribution rate of the operating data is:

[0094]

[0095] The formula for calculating the cumulative contribution rate of operating data is:

[0096]

[0097] Among them, λ i is the characteristic value of the i-th running data.

[0098] Exemplarily, in an embodiment of the present invention, the first operating data whose first cumulative contribution rate is greater than 85% is used as the first principal component, and the second operating data whose second contribution rate is greater than 85% is used as the second principal component. It should be noted that the values ​​of m and n can be the same or different, and the specific values ​​do not affect the beneficial effects achieved by the present invention.

[0099] Further, preferably, the calculating a first contribution rate of the first operating data according to the first eigenvalue, and calculating a second contribution rate of the second operating data according to the second eigenvalue, includes:

[0100] According to the first characteristic value, a correlation coefficient between the first operating data is obtained; if the correlation coefficient between a certain first operating data and more than half of the first operating data is greater than z, the certain first operating data is eliminated and the first operating data is updated;

[0101] According to the second characteristic value, a correlation coefficient between the second operating data is obtained; if the correlation coefficient between a certain second operating data and more than half of the second operating data is greater than z, the certain second operating data is eliminated and the second operating data is updated;

[0102] Calculating a first contribution rate of the updated first operating data according to the first characteristic value;

[0103] A second contribution rate of the updated second operating data is calculated according to the second characteristic value.

[0104] It should be noted that if a certain operating data is highly correlated with other operating data, it is considered that the operating data is not suitable for principal component analysis, so it needs to be eliminated before performing principal component analysis.

[0105] As a preferred implementation, step S4, weighting the first operation data and the second operation data according to the first principal component and the second principal component to obtain a first development index of the transportation system and a second development index of the logistics system, is specifically performed through steps S41 to S47:

[0106] S41. According to the first principal component, obtain a first eigenvalue corresponding to the first principal component as the first principal component eigenvalue.

[0107] S42. Calculate the first eigenvector of each of the first operating data under the first principal component eigenvalue.

[0108] S43. According to the second principal component, obtain a second eigenvalue corresponding to the second principal component as a second principal component eigenvalue.

[0109] S44. Calculate the second eigenvector of each of the second operating data under the second principal component eigenvalue.

[0110] In some embodiments, by solving the characteristic equation |λI-R|=0 as shown in formula (3), the characteristic value λ can be obtained. i and eigenvalue and its corresponding eigenvector I = a i (i=1,2,…,p), a i Satisfy ∥ a i ∥=1. It should be noted that each eigenvalue corresponds to a set of eigenvectors, which represent the load coefficient of each operating data relative to the operating data corresponding to the eigenvalue, and can represent the correlation property and correlation degree between the element and the operating data as the main component.

[0111] It should be noted that after obtaining the first eigenvector and the second eigenvector, if the eigenvector is a positive value, it means that the operating data is positively correlated with the operating data of the principal component; if the eigenvector is a negative value, it means that the operating data is negatively correlated with the operating data of the principal component.

[0112] Exemplarily, the operating data is subjected to min-max normalization processing according to the correlation property. For the positively correlated operating data, normalization processing is performed by formula (6), and for the negatively correlated operating data, normalization processing is performed by formula (7):

[0113]

[0114] S45. Calculate a first weight of the first operating data and a second weight of the second operating data by using an entropy weight method.

[0115] For example, by Calculate the weight e of the running data j ,in 0≤e j ≤1.

[0116] S46. Weighting the first operating data according to the first weight, and calculating a first development index of the transportation system.

[0117] S47. Weighting the second operating data according to the second weight, and calculating a second development index of the logistics system.

[0118] Exemplarily, the formula for calculating the weight of the j-th running data is:

[0119]

[0120] The operating data is weighted to calculate the system development index U t The formula is:

[0121]

[0122] As a preferred implementation, step S5, constructing a coupling model of a transportation system and a logistics system according to the first development index and the second development index, and solving the coupling model to obtain the coupling coordination degree between the transportation system and the logistics system, includes:

[0123] The comprehensive development index of the transportation system and logistics system is calculated by T = αU1 + βU2;

[0124] pass Calculate the coupling degree between transportation system and logistics system;

[0125] according to Construct a coupling model of transportation system and logistics system;

[0126] Solving the coupling model to obtain the coupling coordination degree D between the transportation system and the logistics system;

[0127] Among them, U1 is the first development index, U2 is the second development index, α and β are preset development coefficients, and α+β=1.

[0128] In some embodiments, α=β=1 / 2. In practical applications, α and β may also be different values, and the specific values ​​may be adjusted according to different emphases of system coupling without affecting the beneficial effects of the present invention.

[0129] As a preferred implementation, step S6, generating a coordinated development plan for the transportation and logistics systems according to the coupling coordination degree, and adjusting the transportation system and the logistics system according to the coordinated development plan, includes:

[0130] Taking the highest coupling coordination degree as the optimization goal, generating a first adjustment value of the first operation data and a second adjustment value of the second operation data as a coordinated development plan for the transportation and logistics system;

[0131] The transportation system is adjusted according to the first adjustment value, and the logistics system is adjusted according to the second adjustment value.

[0132] It should be noted that when generating the coordinated development plan for the transportation and logistics systems, the adjustment values ​​can be constrained according to the constraints of urban planning, such as by constraining the investment in the transportation system, constraining the number of passenger cars and traffic saturation of the transportation system. The specific constraints do not affect the beneficial effects produced by the present invention.

[0133] For example, in a preferred embodiment, the first adjustment value is to increase the number of passenger cars by 5% and upgrade some trunk roads to expressways, and the second adjustment value is to increase the number of trucks by 3%.

[0134] In order to better understand the implementation principle of the present invention, the following is a detailed introduction using the transportation system and logistics system around an international airport as an example.

[0135] 1. Obtaining the first operation data of the transportation system and the second operation data of the logistics system

[0136] In this embodiment, the traffic system is further subdivided into airport perimeter traffic and airport roadside traffic. The first operating data includes highway mileage, road network density, expressway ratio, passenger car ownership, passenger throughput, basic investment, traffic index, saturation and average vehicle speed. The specific first operating data are shown in Table 1.

[0137] Table 1

[0138]

[0139]

[0140] The second operating data include the cargo and mail throughput of the international airport, cargo and mail turnover, the total population of the airport economic zone, transportation, warehousing, gross domestic product of the postal industry, postal revenue, express delivery volume and the number of trucks in use. The specific first operating data are shown in Table 2.

[0141] Table 2

[0142]

[0143]

[0144] 2. Constructing the correlation coefficient matrix of the first operation data and the second operation data respectively

[0145] According to the above formulas (1) and (2), the correlation coefficient matrix of the first operating data and the second operating data can be constructed. The correlation coefficient matrix of the first operating data is shown in Table 3, and the correlation coefficient matrix of the second operating data is shown in Table 4.

[0146] Table 3

[0147]

[0148]

[0149] It should be noted that, in the embodiment of the present invention, if the correlation is greater than 0.8, it is considered that the two operating data are highly correlated. As shown in Table 3, the number of road network density and other operating data that are highly correlated is 7, which exceeds half of the number of operating data. Therefore, in the embodiment of the present invention, the road network data is removed and the subsequent modeling and calculation are continued.

[0150] Table 4

[0151]

[0152]

[0153] In some embodiments, KMO and Barelett tests may also be performed on the operating data. If the KMO value is between 0.6 and 0.7 and the Barelett test p value is less than 0.5, it indicates that the original operating data is suitable for principal component analysis.

[0154] 3. Establishment of coupling model based on principal component analysis

[0155] For the transportation system, the first cumulative contribution rate can be calculated by equations (3) to (5), and the first eigenvector under the first eigenvalue of the first principal component can be further obtained. Similarly, the method for generating the second eigenvector is similar to the method for generating the first eigenvector. The first operation data and the second operation data are weighted by the entropy weight method, and the first development index of the transportation system and the second development index of the logistics system are calculated by the formulas shown in equations (8) and (9); then, based on the first development index and the second development index, the comprehensive development index (not shown), coupling degree and coupling coordination degree of the transportation system and the logistics system as shown in Table 5 can be calculated.

[0156] Table 5

[0157]

[0158]

[0159] 4. Generate a coordinated development plan

[0160] Through the above method, it can be known that for a certain international airport, with the decrease of road congestion index and road saturation and the increase of average road speed, the development level of the traffic operation system around the airport gradually increases. At the same time, it is obvious that a small increase in the average road speed can greatly increase the development index of the traffic operation system around the airport. For the traffic operation system (airport land side), the proportion of expressways and passenger car ownership with the largest changes in the operation data are both over 10%, and they also have a significant impact on the coupling model of transportation and logistics systems. For the logistics system, the airport cargo and mail throughput, transportation, warehousing, postal industry output value, postal revenue, and express delivery volume have the greatest impact on the logistics system, but those skilled in the art can know that it is mainly limited by the impact of the domestic economy. The number of cargo cars can be improved by the airport in the short term, thereby improving the development level of the logistics system.

[0161] In this embodiment, the coordinated development plan includes a first adjustment value and a second adjustment value, the first adjustment value includes an adjustment to the proportion of expressways and the number of passenger cars, and the second adjustment value includes an adjustment to the number of trucks.

[0162] A method for generating a coordinated development plan for a transportation and logistics system provided by an embodiment of the present invention is used. By combining the principal component analysis method and the entropy weight method, a coupling model of the transportation system and the logistics system is constructed. Compared with the existing DEA model research, it overcomes the limitation of the single linear relationship and can provide a scientific theoretical basis for the quantitative rather than qualitative measurement of evaluation indicators such as the comprehensive development index, coupling degree and coupling coordination degree. These evaluation indicators can effectively explain the level of coordinated development among multiple systems and provide clear opinions on the improvement direction of the transportation system and the logistics system.

[0163] See also Figure 2 The embodiment of the present invention provides a schematic diagram of the structure of a system for generating a coordinated development plan for a transportation and logistics system. The system for generating a coordinated development plan for a transportation and logistics system includes a data acquisition module 11, a correlation coefficient matrix solution module 12, a principal component analysis module 13, a development index calculation module 14, a coupling coordination degree calculation module 15 and a plan generation module 16, wherein:

[0164] The data acquisition module 11 is used to acquire first operation data of the transportation system and second operation data of the logistics system; wherein the first operation data includes infrastructure data, passenger flow capacity data, transportation operation data and investment data, and the second operation data includes logistics capacity data, logistics gross production value and total population of the economic zone;

[0165] A correlation coefficient matrix solving module 12, used to construct correlation coefficient matrices of the first operation data and the second operation data respectively, solve the correlation coefficient matrices, and obtain the first eigenvalue of the transportation system and the second eigenvalue of the logistics system;

[0166] A principal component analysis module 13, which filters out a first principal component of the transportation system from the first operation data and a second principal component of the logistics system from the second operation data according to the first eigenvalue and the second eigenvalue;

[0167] A development index calculation module 14, configured to weight the first operation data and the second operation data according to the first principal component and the second principal component to obtain a first development index of the transportation system and a second development index of the logistics system;

[0168] A coupling coordination degree calculation module 15 is used to construct a coupling model of a transportation system and a logistics system according to the first development index and the second development index, and solve the coupling model to obtain the coupling coordination degree of the transportation system and the logistics system;

[0169] The scheme generating module 16 is used to generate a coordinated development scheme of the transportation and logistics systems according to the coupling coordination degree, and adjust the transportation system and the logistics system according to the coordinated development scheme.

[0170] As a preferred implementation, the infrastructure data includes highway mileage, road network density and expressway ratio; the passenger flow capacity data includes passenger vehicle ownership and passenger throughput; the traffic operation data includes traffic index, traffic saturation and average vehicle speed;

[0171] The logistics capacity data include the number of trucks in use, cargo and mail throughput, cargo and mail turnover and express delivery volume; the logistics gross production value includes the transportation gross production value, warehousing gross production value, postal industry gross production value and postal revenue.

[0172] As a preferred implementation, the correlation coefficient matrix solving module 12 includes:

[0173] a standardization processing unit, configured to perform standardization processing on the first operation data and the second operation data according to respective sample means and sample standard deviations of the first operation data and the second operation data, so as to obtain first standard operation data and second standard operation data;

[0174] A correlation coefficient matrix construction unit, used to construct a correlation coefficient matrix of a transportation system according to the first standard operation data; and to construct a correlation coefficient matrix of a logistics system according to the second operation data;

[0175] The eigenvalue calculation unit is used to adopt the Jacobi method to solve the correlation coefficient matrices of the transportation system and the logistics system respectively, so as to obtain the first eigenvalue of the transportation system and the second eigenvalue of the logistics system.

[0176] As a preferred implementation, the principal component analysis module 13 includes:

[0177] a contribution rate calculation unit, configured to calculate a first contribution rate of the first operation data according to the first characteristic value, and calculate a second contribution rate of the second operation data according to the second characteristic value;

[0178] a cumulative contribution rate calculation unit, configured to calculate a first cumulative contribution rate of the first operation data according to the first contribution rate, and calculate a second cumulative contribution rate of the second operation data according to the second contribution rate;

[0179] The principal component extraction unit is used to take the first operating data whose first cumulative contribution rate is greater than n as the first principal component, and take the second operating data whose second cumulative contribution rate is greater than m as the second principal component.

[0180] Further, preferably, the contribution rate calculation unit includes:

[0181] a first elimination unit, configured to obtain a correlation coefficient between the first operating data according to the first characteristic value; if a correlation coefficient between a certain first operating data and more than half of the first operating data is greater than z, the certain first operating data is eliminated, and the first operating data is updated;

[0182] a second elimination unit, configured to obtain a correlation coefficient between the second operating data according to the second characteristic value; if a correlation coefficient between a certain second operating data and more than half of the second operating data is greater than z, the certain second operating data is eliminated, and the second operating data is updated;

[0183] A first calculation unit, configured to calculate a first contribution rate of the updated first operating data according to the first characteristic value;

[0184] The second calculation unit is used to calculate a second contribution rate of the updated second operating data according to the second characteristic value.

[0185] As a preferred implementation, the development index calculation module 14 includes:

[0186] A first principal component eigenvalue obtaining unit, configured to obtain, according to the first principal component, a first eigenvalue corresponding to the first principal component as the first principal component eigenvalue;

[0187] A first eigenvector calculation unit, used for calculating a first eigenvector of each of the first operating data under the first principal component eigenvalue;

[0188] A second principal component eigenvalue obtaining unit, configured to obtain, according to the second principal component, a second eigenvalue corresponding to the second principal component as the second principal component eigenvalue;

[0189] A second eigenvector calculation unit, used for calculating a second eigenvector of each of the second operating data under the second principal component eigenvalue;

[0190] a weight calculation unit, configured to calculate a first weight of the first operation data and a second weight of the second operation data by using an entropy weight method;

[0191] A first development index calculation unit, configured to weight the first operation data according to the first weight, and calculate a first development index of the transportation system;

[0192] The second development index calculation unit is used to weight the second operation data according to the second weight to calculate the second development index of the logistics system.

[0193] As a preferred implementation, the coupling coordination degree calculation module 15 includes:

[0194] A comprehensive development index calculation unit, used to calculate the comprehensive development index of the transportation system and the logistics system through T = αU1 + βU2;

[0195] Coupling calculation unit, used to Calculate the coupling degree between transportation system and logistics system;

[0196] Coupled model building unit for Construct a coupling model of transportation system and logistics system;

[0197] A coupling coordination degree calculation unit, used for solving the coupling model to obtain the coupling coordination degree D between the transportation system and the logistics system;

[0198] Among them, U1 is the first development index, U2 is the second development index, α and β are preset development coefficients, and α+β=1.

[0199] As a preferred implementation, the solution generation module 16 includes:

[0200] A coordinated development plan generating unit, configured to generate a first adjustment value of the first operation data and a second adjustment value of the second operation data as a coordinated development plan for a transportation and logistics system by taking the highest coupling coordination degree as an optimization target;

[0201] An adjustment unit is used to adjust the transportation system according to the first adjustment value, and adjust the logistics system according to the second adjustment value.

[0202] A system for generating a coordinated development plan for a transportation and logistics system provided by an embodiment of the present invention combines principal component analysis and entropy weight method to construct a coupling model of a transportation system and a logistics system. Compared with the existing DEA model research, the coupling model overcomes the limitation of a single linear relationship and can provide a scientific theoretical basis for the quantitative rather than qualitative measurement of evaluation indicators such as the comprehensive development index, coupling degree and coupling coordination degree. These evaluation indicators can effectively explain the level of coordinated development among multiple systems and provide clear opinions on the improvement direction of the transportation system and the logistics system.

[0203] An embodiment of the present invention also provides a device for generating a coordinated development plan for a transportation and logistics system, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements a method for generating a coordinated development plan for a transportation and logistics system as described above. The working principles and beneficial effects of the two correspond one to one, and thus will not be elaborated on herein.

[0204] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0205] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for generating a coordinated development plan for a transportation and logistics system, characterized in that: include: Acquire first operation data of the transportation system and second operation data of the logistics system; wherein the first operation data includes infrastructure data, passenger flow capacity data, transportation operation data and investment data, and the second operation data includes logistics capacity data, logistics gross production value and total population of the economic zone; respectively constructing correlation coefficient matrices of the first operating data and the second operating data, solving the correlation coefficient matrices, and obtaining a first eigenvalue of the transportation system and a second eigenvalue of the logistics system; According to the first eigenvalue and the second eigenvalue, a first principal component of the transportation system is obtained from the first operation data, and a second principal component of the logistics system is obtained from the second operation data; weighting the first operation data and the second operation data according to the first principal component and the second principal component to obtain a first development index of the transportation system and a second development index of the logistics system; According to the first development index and the second development index, a coupling model of a transportation system and a logistics system is constructed, and the coupling model is solved to obtain a coupling coordination degree between the transportation system and the logistics system; According to the coupling coordination degree, a coordinated development plan for the transportation and logistics systems is generated, and the transportation system and the logistics system are adjusted according to the coordinated development plan.

2. A method for generating a coordinated development plan for a transportation and logistics system as claimed in claim 1, characterized in that: The infrastructure data include highway mileage, road network density and expressway ratio; the passenger capacity data include passenger vehicle ownership and passenger throughput; the traffic operation data include traffic index, traffic saturation and average vehicle speed; The logistics capacity data include the number of trucks in use, cargo and mail throughput, cargo and mail turnover and express delivery volume; the logistics gross production value includes the transportation gross production value, warehousing gross production value, postal industry gross production value and postal revenue.

3. The method for generating a coordinated development plan for a transportation and logistics system according to claim 1, characterized in that: The step of respectively constructing correlation coefficient matrices of the first operation data and the second operation data, solving the correlation coefficient matrices, and obtaining the first eigenvalue of the transportation system and the second eigenvalue of the logistics system includes: Standardizing the first operating data and the second operating data according to the respective sample means and sample standard deviations of the first operating data and the second operating data to obtain first standard operating data and second standard operating data; constructing a correlation coefficient matrix of a transportation system according to the first standard operation data; constructing a correlation coefficient matrix of a logistics system according to the second operation data; The Jacobi method is used to solve the correlation coefficient matrices of the transportation system and the logistics system respectively, so as to obtain the first eigenvalue of the transportation system and the second eigenvalue of the logistics system.

4. The method for generating a coordinated development plan for a transportation and logistics system according to claim 1, characterized in that: The method of selecting, based on the first eigenvalue and the second eigenvalue, a first principal component of the transportation system from the first operation data and a second principal component of the logistics system from the second operation data comprises: Calculating a first contribution rate of the first operating data according to the first eigenvalue, and calculating a second contribution rate of the second operating data according to the second eigenvalue; Calculating a first cumulative contribution rate of the first operating data according to the first contribution rate, and calculating a second cumulative contribution rate of the second operating data according to the second contribution rate; The first operating data whose first cumulative contribution rate is greater than n is taken as a first principal component, and the second operating data whose second cumulative contribution rate is greater than m is taken as a second principal component.

5. A method for generating a coordinated development plan for a transportation and logistics system as claimed in claim 4, characterized in that: The calculating a first contribution rate of the first operation data according to the first characteristic value, and calculating a second contribution rate of the second operation data according to the second characteristic value, includes: According to the first characteristic value, a correlation coefficient between the first operating data is obtained; if the correlation coefficient between a certain first operating data and more than half of the first operating data is greater than z, the certain first operating data is eliminated and the first operating data is updated; According to the second characteristic value, a correlation coefficient between the second operating data is obtained; if the correlation coefficient between a certain second operating data and more than half of the second operating data is greater than z, the certain second operating data is eliminated and the second operating data is updated; Calculating a first contribution rate of the updated first operating data according to the first characteristic value; A second contribution rate of the updated second operating data is calculated according to the second characteristic value.

6. The method for generating a coordinated development plan for a transportation and logistics system according to claim 1, characterized in that: The step of weighting the first operation data and the second operation data according to the first principal component and the second principal component to obtain a first development index of the transportation system and a second development index of the logistics system includes: According to the first principal component, a first eigenvalue corresponding to the first principal component is obtained as the first principal component eigenvalue; Calculate a first eigenvector of each of the first operating data under the first principal component eigenvalue; According to the second principal component, a second eigenvalue corresponding to the second principal component is obtained as the second principal component eigenvalue; Calculate a second eigenvector of each of the second operating data under the second principal component eigenvalue; Using an entropy weight method, calculating a first weight of the first operating data and a second weight of the second operating data; weighting the first operation data according to the first weight to calculate a first development index of the transportation system; The second operating data is weighted according to the second weight, and a second development index of the logistics system is calculated.

7. The method for generating a coordinated development plan for a transportation and logistics system according to claim 1, characterized in that: The step of constructing a coupling model of a transportation system and a logistics system according to the first development index and the second development index, and solving the coupling model to obtain a coupling coordination degree between the transportation system and the logistics system includes: The comprehensive development index of the transportation system and logistics system is calculated by T = αU1 + βU2; pass Calculate the coupling degree between transportation system and logistics system; according to Construct a coupling model of transportation system and logistics system; Solving the coupling model to obtain the coupling coordination degree D between the transportation system and the logistics system; Among them, U1 is the first development index, U2 is the second development index, α and β are preset development coefficients, and α+β=1.

8. The method for generating a coordinated development plan for a transportation and logistics system according to claim 1, characterized in that: The step of generating a coordinated development plan for the transportation and logistics systems according to the coupling coordination degree, and adjusting the transportation system and the logistics system according to the coordinated development plan includes: Taking the highest coupling coordination degree as the optimization goal, generating a first adjustment value of the first operation data and a second adjustment value of the second operation data as a coordinated development plan for the transportation and logistics system; The transportation system is adjusted according to the first adjustment value, and the logistics system is adjusted according to the second adjustment value.

9. A system for generating a coordinated development plan for a transportation and logistics system, characterized in that: include: A data acquisition module, used to acquire first operation data of the transportation system and second operation data of the logistics system; wherein the first operation data includes infrastructure data, passenger flow capacity data, transportation operation data and investment data, and the second operation data includes logistics capacity data, logistics gross production value and total population of the economic zone; A correlation coefficient matrix solving module, used to construct correlation coefficient matrices of the first operation data and the second operation data respectively, solve the correlation coefficient matrices, and obtain the first eigenvalue of the transportation system and the second eigenvalue of the logistics system; a principal component analysis module, configured to filter out a first principal component of the transportation system from the first operation data and a second principal component of the logistics system from the second operation data according to the first eigenvalue and the second eigenvalue; a development index calculation module, configured to weight the first operation data and the second operation data according to the first principal component and the second principal component to obtain a first development index of the transportation system and a second development index of the logistics system; A coupling coordination degree calculation module, used to construct a coupling model of a transportation system and a logistics system according to the first development index and the second development index, and solve the coupling model to obtain the coupling coordination degree between the transportation system and the logistics system; The scheme generation module is used to generate a coordinated development scheme for the transportation and logistics systems according to the coupling coordination degree, and adjust the transportation system and the logistics system according to the coordinated development scheme.

10. A device for generating a coordinated development plan for a transportation and logistics system, characterized in that: It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements a method for generating a coordinated development plan for a transportation and logistics system as described in any one of claims 1 to 8.

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