Bus station comprehensive development suitability evaluation method and system, and storage medium

Abstract

The invention belongs to the technical field of urban planning and traffic engineering, particularly provides a bus station comprehensive development adaptability evaluation method and system and a storage medium, and provides a unified, quantitative, objective and scientific comprehensive development adaptability evaluation method for urban bus stations. According to the evaluation method, selected indexes are divided into first-level evaluation indexes and second-level evaluation indexes, evaluation index initial values are determined according to the selected indexes, and an original matrix is established; determining a first-level evaluation index weight by using a factor analysis method, determining a second-level evaluation index weight by using a CRITIC method, and calculating a final weight of each evaluation index by combining the first-level index weight and the second-level index weight; then, based on a VIKOR method and a TOPSIS method, a bus station comprehensive development index is obtained through calculation, and then the bus station comprehensive development index is obtained through weighted calculation.

Description

Technical Field

[0001] The present invention belongs to the technical field of urban planning and traffic engineering, and in particular relates to a method, system and storage medium for evaluating the comprehensive development suitability of a bus station. Background Art

[0002] Bus stations (i.e. bus parking lots, hereinafter referred to as stations) are an important part of urban public transportation. The comprehensive development of bus stations can make full use of station resources, increase land value, help tap spatial potential, enhance the station's independent revenue capacity, improve the self-improvement ability of the public transportation system, and promote the sustainable development of stations. With the development of urban public transportation systems, accurately assessing the suitability of comprehensive development of bus stations is the basis for ensuring the sustainable development of bus stations and improving the construction level and service quality of bus stations.

[0003] To evaluate whether a bus station is suitable for comprehensive development, it is necessary to consider all aspects of the station so that the economic and social benefits achieved after the comprehensive development of the station are optimal. At present, most of the research on the comprehensive development of public transportation is a preliminary discussion on the development model of rail transit stations and bus stations, and rarely involves the research on the evaluation system of the comprehensive development suitability of bus stations. In addition, most of the research on the evaluation method of comprehensive development of stations adopts qualitative evaluation methods, which are greatly affected by human subjective factors and are difficult to objectively and comprehensively reflect the feasibility and suitability of comprehensive development of bus stations. Summary of the invention

[0004] To solve the above problems, the present invention provides a method, system and storage medium for evaluating the comprehensive development suitability of bus stations, which provides a unified, quantitative, objective and scientific comprehensive development evaluation technical solution for urban bus stations.

[0005] Firstly, the present invention proposes a method for evaluating the suitability of comprehensive development of bus stations. The method comprises: selecting evaluation indicators, which include primary evaluation indicators and secondary evaluation indicators, and determining the initial value of the secondary evaluation indicators; calculating the weight of the evaluation indicators according to the initial value of the secondary evaluation indicators; and calculating the adaptability index of the comprehensive development of bus stations according to the weight of the evaluation indicators.

[0006] The above-mentioned first-level evaluation indicators include station location factors, station land use factors and traffic conditions around the station; the second-level evaluation indicators of station location factors include station location conditions, surrounding population distribution and number of surrounding jobs; the second-level evaluation indicators of station land use factors include station scale, land use nature and surrounding land use nature; the second-level evaluation indicators of traffic conditions around the station include urban road conditions and external traffic conditions.

[0007] The above method for calculating the weight of the evaluation index according to the initial value of the secondary evaluation index comprises the following steps: Establish the original matrix according to the initial value of the evaluation index; The factor analysis method is used to determine the weight of the first-level evaluation index; The CRITIC method is used to determine the weights of the secondary evaluation indicators; Calculate the weights of the evaluation index system.

[0008] The above method for calculating the adaptability index of the comprehensive development of bus stations according to the weight of the evaluation index comprises the following steps: The comprehensive development suitability index of bus stations is calculated using the VIKOR method; The TOPSIS method is used to calculate the comprehensive development suitability index of bus stations; The comprehensive development suitability index of the bus station is calculated by the VIKOR method and the TOPSIS method, and the final comprehensive development suitability index of the bus station is obtained by weighted average calculation.

[0009] In addition, the present invention also proposes a bus station comprehensive development suitability evaluation system, which includes an initial value determination module, a weight calculation module and an adaptability index calculation module, wherein: The initial value determination module is used to select evaluation indicators and determine the initial values ​​of secondary evaluation indicators; The weight calculation module is used to calculate the weight of the evaluation index; The adaptability index calculation module is used to calculate the adaptability index of comprehensive development of bus stations.

[0010] Based on the above-mentioned bus station comprehensive development adaptability evaluation method, the present invention proposes a computer storage medium, in which one or more programs are stored. When the one or more programs are executed, the above-mentioned bus station comprehensive development adaptability evaluation method can be implemented.

[0011] Compared with the prior art, the present invention has the following advantages: The comprehensive development suitability evaluation method for bus stations proposed in the present invention includes first-level and second-level evaluation indicators. First, the weights of each first-level evaluation indicator are calculated according to the factor analysis method of the concentrated information principle, and then the weights of each second-level evaluation indicator are calculated by the CRITIC weight method, and the final weights of each indicator are obtained by combining the two; then, the comprehensive development index of the bus station is calculated based on the VIKOR method and the TOPSIS method, and then the final comprehensive development suitability index of the bus station is obtained through weighted calculation, and then the parking lot suitable for comprehensive development is obtained through comprehensive evaluation. The technical solution of the present invention provides a unified, quantitative, objective and scientific comprehensive development adaptability evaluation method for urban bus stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0013] Figure 1 It is a schematic diagram of the process of the comprehensive development suitability evaluation method of the bus station of the present invention; Figure 2 A schematic diagram of the structure of the adaptability evaluation index for the comprehensive development of bus stations; Figure 3 for Figure 1 Schematic diagram of the process of calculating the weight of evaluation indicators; Figure 4 for Figure 1 Schematic diagram of the process of calculating the adaptability index of comprehensive development of bus stations; Figure 5 It is a schematic diagram of the structure of the comprehensive development suitability evaluation system for bus stations of the present invention; DETAILED DESCRIPTION

[0014] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0015] The present invention proposes a method for evaluating the suitability of comprehensive development of bus stations. By considering the influencing factors of multiple dimensions of bus stations and expressing them numerically, various factors are comprehensively considered through modeling, and the suitability of comprehensive development of bus stations is evaluated from qualitative and quantitative perspectives.

[0016] The above-mentioned bus station comprehensive development suitability evaluation method specifically includes: S1. Select evaluation indicators and determine the initial values ​​of secondary evaluation indicators m bus stations in a city are selected. The comprehensive development evaluation indicators of bus stations are divided into primary evaluation indicators and secondary evaluation indicators based on the characteristics of the bus stations and the influencing factors of the comprehensive development of bus stations. Each primary evaluation indicator and the secondary evaluation indicators included in each primary evaluation indicator are set separately. Finally, all the selected secondary evaluation indicators are initialized and assigned values.

[0017] It is worth noting that the evaluation indicators selected in the present invention are all benefit indicators, and benefit indicators mean that the larger the value, the better.

[0018] In some embodiments, Figure 2 As shown, the first-level evaluation indicators include station location factors, station land use factors and traffic conditions around the station; among them, the second-level evaluation indicators of station location factors include station location conditions, surrounding population distribution and the number of surrounding jobs; the second-level evaluation indicators of station land use factors include station scale, land use nature and surrounding land use nature; the second-level evaluation indicators of traffic conditions around the station include urban road conditions and external traffic conditions.

[0019] Initialize and assign values ​​to the selected secondary evaluation indicators. The specific values ​​of each secondary evaluation indicator are shown in Table 1.

[0020] Table 1 Initial value setting of secondary evaluation indicators

[0021] S2. Calculate the weight of evaluation indicators The method of calculating the weight of the evaluation index according to the initial value of each of the above-mentioned secondary evaluation indexes includes: S21. Create the original matrix

[0022] According to Table 1 above and the actual situation of the bus station, the original matrix of the bus station is established , as shown in formula (1):

[0023] Among them, m is the number of bus stations, that is, m evaluation objects; n is the number of secondary evaluation indicators; is the initial value of the j-th secondary evaluation index of the ith bus station.

[0024] S22. Determine the weight of the first-level evaluation index using factor analysis The present invention uses the factor analysis method of concentrated information principle to calculate the weights of each primary evaluation index, extracts factors through the data of the secondary evaluation index, and reversely infers the weights of each evaluation index of the primary evaluation index. The specific method is as follows.

[0025] S221.KMO and Bartlett's test of sphericity Before using factor analysis to determine the weights of the first-level evaluation indicators, it is necessary to verify the original matrix by using SPSS to perform KMO value and Bartlett's sphericity test. Whether it is suitable for factor analysis. If it is suitable, use factor analysis to determine the weights of the first-level evaluation indicators.

[0026] The specific evaluation criteria of KMO value are shown in Table 2. The closer the KMO value is to 1, the stronger the correlation between variables, the weaker the partial correlation, and the better the effect of factor analysis. When the KMO value is greater than 0.6, it means that the data is suitable for factor analysis.

[0027] Table 2 KMO value evaluation criteria

[0028] Bartlett's sphericity test is mainly based on the significance level judgment. When the probability p (i.e., significance level) value is less than the given significance level value (the value is 0.05), it means rejecting the null hypothesis and the data is suitable for factor analysis; when the probability p value is greater than the given significance level value, it means accepting the null hypothesis and the data is not suitable for factor analysis.

[0029] S222. For the original matrix Standardization The values ​​of the secondary evaluation indicators in the original matrix X are Converted into secondary standardized indicators . As shown in the following formula:

[0030] in, is the value of the standardized index of the jth secondary evaluation index of the i-th bus station; ,Right now is the sample mean of the jth secondary evaluation index; ,Right now is the sample standard deviation of the j-th secondary evaluation index.

[0031] In the embodiment corresponding to Table 1, the number of secondary evaluation index variables is 8, which are , ,…, .

[0032] S223. Calculate the correlation coefficient matrix G of the secondary evaluation index variables

[0033] in, Represents the correlation coefficient between the qth secondary evaluation index and the wth secondary evaluation index.

[0034] S224. Calculate the elementary load matrix H The eigenvalues ​​(i.e. initial eigenvalues) of the correlation coefficient matrix G are calculated as ,and ; Calculate the eigenvector of the correlation coefficient matrix G as ,in , the elementary load matrix H is:

[0035] in, is the jth eigenvalue; represents the jth eigenvector; It represents the factor loading associated with the mth evaluation object and the jth factor (i.e., the secondary evaluation indicator variable) in the primary loading matrix H.

[0036] According to the eigenvalues ​​of the correlation coefficient matrix G , the eigenvector of the correlation coefficient matrix G Calculate the sum of squares of elementary loads , Percentage of variance of the sum of squares of elementary loadings and cumulative variance percentage :

[0037]

[0038] It refers to the sum of the squares of all variable loads corresponding to the jth factor in the elementary loading matrix H; Refers to the percentage of contribution of the jth factor to the total variance of the data, that is, the variance percentage of the sum of squares of the elementary loads; It refers to the cumulative contribution percentage of the first v factors to the total variance of the data, that is, the cumulative variance percentage of the sum of squares of the elementary loadings.

[0039] When the cumulative variance percentage of the current v factors is not less than 60%, it is considered to meet the analysis requirements, where v is the number of primary evaluation indicators.

[0040] S225. Rotate the primary evaluation indicator variables After determining the number v of primary evaluation indicators, select the corresponding first v columns in the primary load matrix H to obtain the matrix . Use the orthogonal matrix T to transform the elementary load matrix Perform orthogonal rotation to obtain the rotation load matrix B, and use the rotation load matrix B to construct the first-level evaluation index variable model:

[0041] According to the rotation load matrix B, calculate the sum of squares of the rotation loads and the corresponding variance percentage , Cumulative variance percentage :

[0042] It refers to the sum of the squares of the w-th factor's loadings on all variables in the rotation loading matrix B; is the element of the rotation load matrix B, representing the value of the i-th row and w-th column in the rotation load matrix B; It refers to the percentage of contribution of the rotated wth factor to the total variance of the data, that is, the percentage of variance of the sum of squares of the rotated loadings; It refers to the percentage of the first w factors' cumulative contribution to the total variance of the data, that is, the cumulative variance percentage of the sum of squares of the rotated loadings.

[0043] S226. Normalization The cumulative variance percentage of the sum of squares of the rotated loadings of the first v evaluation indicators is normalized to obtain the weight of each first-level evaluation indicator.

[0044] S23. Determine the weight of secondary evaluation indicators using the CRITIC method The present invention uses the CRITIC method to calculate the weight value of each indicator of the secondary evaluation index, and the specific steps are as follows.

[0045] S231. Data preprocessing Since the units of each evaluation index are different, they need to be converted to the same scale for comparison. m evaluation objects and n secondary evaluation indicators (i.e., secondary indicator variables) can form the data matrix Y'. When it is a positive indicator, the calculation formula for the secondary evaluation index preprocessing is:

[0046] is the value of the jth secondary evaluation index of the i-th evaluation object in the data matrix Y' after data preprocessing; is the value of the jth secondary evaluation index of the ith bus station in the original matrix X; Min( ) is the minimum value of the j-th secondary evaluation index; Max( ) is the maximum value of the j-th secondary evaluation index.

[0047] In the embodiment corresponding to Table 1, the evaluation index n is 8.

[0048] S232. Contrast intensity calculation The comparison strength is expressed by standard deviation. If the data standard deviation is larger, the fluctuation is greater, and the weight will be higher. The calculation formula is:

[0049] in, is the average value of the standardized value of the jth secondary evaluation index; contrast intensity is the standard deviation of the j-th secondary evaluation indicator on all its evaluation objects, representing the dispersion or fluctuation of the secondary evaluation indicator on all evaluation objects.

[0050] S233. Contradictory Calculation Contradiction reflects the degree of correlation between different evaluation indicators. If there is a significant positive correlation, the smaller the contradiction value is.

[0051] First, the Pearson correlation coefficient is used to calculate the correlation coefficient between the kth secondary evaluation index and the jth secondary evaluation index. :

[0052] Assume that the contradiction between evaluation index j and other evaluation indexes is , the calculation formula is as follows:

[0053] in, Indicates the degree of contradiction between the jth secondary evaluation index and other secondary evaluation indexes; Represents the correlation coefficient between the secondary evaluation index k and the secondary evaluation index j.

[0054] S234. Information carrying capacity calculation Suppose the information carrying capacity of the jth secondary evaluation index is , the calculation formula is:

[0055] S235. Weight calculation In the secondary evaluation index, the weight of the jth secondary evaluation index relative to the corresponding primary evaluation index is for:

[0056] S24. Calculate the weight of the evaluation index system The weight of each first-level evaluation index is calculated by factor analysis based on the principle of concentrated information, and then the weight of each second-level evaluation index is calculated by the CRITIC weight method. Finally, the two are combined to obtain the final weight value of each evaluation index (i.e., the evaluation index system weight). The calculation formula is as follows: The final weight value of each secondary evaluation indicator = the weight of the secondary indicator relative to the primary indicator * the corresponding primary indicator weight.

[0057] S3. Calculate the comprehensive development suitability index of bus stations The bus station comprehensive development suitability index is defined as a dimensionless index obtained by weighted calculation of various evaluation indicators that affect the comprehensive development of a bus station in a city. The larger the value, the higher the suitability.

[0058] After calculating the specific weight values ​​of the evaluation index system, it is necessary to calculate the comprehensive development suitability scores of each bus station. The present invention uses the VIKOR method and the TOPSIS method to calculate the comprehensive development suitability scores of bus stations respectively, and comprehensively evaluates the bus parking lots suitable for comprehensive development.

[0059] S31. Calculate the comprehensive development suitability score of bus stations using the VIKOR method S311. Normalized Matrix Normalize the original matrix X to get the normalized matrix , represents the element in the i-th row and j-th column of the normalized matrix F, where The calculation formula is:

[0060] S312. Determine the maximum and minimum values ​​of bus station development index attributes Assume that the maximum value of the bus station development index attribute is The minimum value of the bus station development indicator attribute is , and the calculation formulas are:

[0061] S313. Calculate group benefit value 、Individual regret value and compromise value

[0062] Calculate the group benefit value of each bus station 、Individual regret value and the compromise value .

[0063]

[0064] in, is the weight of each secondary evaluation indicator relative to the primary indicator; ; ; u is the decision mechanism coefficient.

[0065] When u>0.5, it means that the decision is made according to the decision-making mechanism of maximum group utility; when u=0.5, it means that the decision is made according to the decision-making mechanism in which the decision makers reach a consensus through consultation; when u<0.5, it means that the decision is made according to the decision-making mechanism of minimum individual regret. In the present invention, u is 0.5, which means that the decision maker has no obvious preference for group benefit or individual regret.

[0066] S314. Determine the suitability score for comprehensive development of bus stations

[0067] make

[0068] Sort the comprehensive development suitability scores of each bus station. Rank the alternative options, the smaller the value, the better the corresponding option.

[0069] Initial recommendations: <0.5, the development suitability of bus parking lots is high; >0.5, the comprehensive development suitability of the bus parking lot is low.

[0070] S315. Determine a compromise solution Assume The ascending order is E(1), E(2),…, E(m), and the order of the alternatives can be determined based on constraints 1 and 2.

[0071] Constraint 1:

[0072] in, , Respectively The smallest value of the first and second digits; m is the number of bus stations; When the final calculated Only when the value satisfies constraint 1 can it be determined that the first-ranked bus station comprehensive development conditions are better than the second-ranked option.

[0073] Constraint 2: ,and

[0074] In order to ensure the reliability of the decision results calculated in the present invention, it is stipulated that The bus station with the smallest value corresponds to the calculated Value and The values ​​should all be smaller than the second ranked bus station.

[0075] Evaluation criteria: If constraint 1 and constraint 2 are met at the same time, then plan E(1) is the optimal plan in the decision-making process, that is, the comprehensive development suitability of the station is the highest; If only constraint 2 is satisfied, then E(1) and E(2) are both compromise solutions, that is, The bus stations with the top two rankings have the highest comprehensive development suitability.

[0076] S32. Calculate the comprehensive development suitability score of bus stations using the TOPSIS method S321. Normalized Matrix The original matrix X is normalized, and the specific process is the same as the above step S311.

[0077] S322. Weighted vector normalization Multiply the normalized matrix by the calculated weight value to obtain the weighted normalized matrix .

[0078] S323. Determine the maximum bus station development index attribute value sequence and the minimum bus station development index attribute value sequence Assume that the jth attribute value of the maximum bus station development index attribute value sequence is , the jth attribute value of the minimum bus station development index attribute value sequence is ,but

[0079] S324. Calculate the distance between each bus station and the maximum and minimum bus station development index attribute value series Assume that the weighted Euclidean distances from the ith bus station to the maximum and minimum bus station development index attribute values ​​are , , and its calculation formula is as follows.

[0080] (28) (29) S325. Comprehensive development suitability index of bus stations

[0081] Comprehensive development suitability index of bus stations The calculation formula is as follows, (30) in, The smaller the value, the higher the comprehensive development suitability level of the i-th bus station.

[0082] S33. Calculate the final comprehensive development suitability index of bus stations The comprehensive development suitability score of bus stations calculated based on the VIKOR method is The comprehensive development suitability score of bus stations calculated based on TOPSIS method Weighted average to calculate the comprehensive development suitability index of each bus station , where the smaller the index value, the higher the suitability of the comprehensive development of the bus parking lot. The calculation formula is: (31) Furthermore, the technical solution of the present invention also includes determining parking lots suitable for comprehensive development based on the above-mentioned bus station final comprehensive development suitability index.

[0083] In some embodiments, the comprehensive development level of bus stations is divided into five levels, and the suitability of comprehensive development of bus stations is divided into five levels, represented by different colors. The level division should meet the requirements of the following table.

[0084] Table 3 Recommended mapping relationship between bus station comprehensive development suitability index and station comprehensive development level

[0085] In some embodiments, the present invention further proposes a bus station comprehensive development suitability evaluation system, which includes an initial value determination module, a weight calculation module and an adaptability index calculation module, wherein: The initial value determination module is used to select evaluation indicators and determine the initial values ​​of secondary evaluation indicators; The weight calculation module is used to calculate the weight of the evaluation index; The adaptability index calculation module is used to calculate the adaptability index of comprehensive development of bus stations.

[0086] Furthermore, the above-mentioned bus station comprehensive development suitability evaluation system also includes a parking lot determination module, which is used to determine specific parking lots suitable for comprehensive development according to the bus station comprehensive development adaptability index. The system is applicable to the above-mentioned bus station comprehensive development suitability evaluation method.

[0087] Based on the above-mentioned bus station comprehensive development adaptability evaluation method, in some implementations, the present invention proposes a computer storage medium, which stores one or more programs. When the one or more programs are executed, the above-mentioned bus station comprehensive development adaptability evaluation method can be implemented. Specific embodiments Step 1: Select evaluation indicators including primary evaluation indicators and secondary evaluation indicators, and determine the initial value of the secondary evaluation indicator 32 bus stations in Yinchuan were selected. Combined with the characteristics of the bus stations and the influencing factors of the comprehensive development of the bus stations, the first-level evaluation indicators of the comprehensive development evaluation indicators of the bus stations were set, including the station location factors, station land use factors and the traffic conditions around the stations; the second-level evaluation indicators of the station location factors included the station location conditions, the surrounding population distribution and the number of surrounding jobs; the second-level evaluation indicators of the station land use factors included the station scale, the land use nature and the surrounding land use nature; the second-level evaluation indicators of the traffic conditions around the stations included urban road conditions and external traffic conditions.

[0089] Initialize and assign values ​​to the selected secondary evaluation indicators, as shown in Table 1 above.

[0090] Step 2: Calculate the weight of the evaluation index 1. Create the original matrix According to the above Table 1 and the actual situation of 32 bus stations in Yinchuan City, the initial values ​​of the bus station are obtained as shown in the following table. According to the table, the original matrix A of 32 rows and 8 columns of Yinchuan City Bus Station is established.

[0091] Table 3 Original matrix A

[0092]

[0093] 2. Determine the weight of the first-level indicators using factor analysis KMO and Bartlett's sphericity test: SPSS was used to perform KMO value and Bartlett's sphericity test to verify whether the original matrix A was suitable for factor analysis. The KMO value and Bartlett's sphericity of Yinchuan Bus Station are shown in the following table.

[0094] Table 4 KMO and Bartlett test

[0095] The results in the above table show that the KMO value of Yinchuan Bus Station is 0.676, which is greater than 0.6; and the significance level is 0.000, that is, the probability p value is less than 0.05, and the null hypothesis is rejected, indicating that in this case, the original matrix A is suitable for factor analysis.

[0096] SPSS software was used to perform factor analysis on each secondary indicator, and the cumulative variance contribution rate of the first three factors reached 67.118%, indicating that the three factors can express 67.118% of the original matrix A, which is greater than 60%, and therefore meets the three primary indicators preset in the early stage.

[0097] It should be pointed out that when the number of factors with a cumulative variance contribution rate of not less than 60% for the first time is equal to the number of primary evaluation indicators, the variance percentage and cumulative variance percentage of the initial eigenvalue are the same as the variance percentage and cumulative variance percentage of the sum of squares of the primary loadings.

[0098] In this case, the number of factors with a cumulative variance contribution rate of not less than 60% for the first time is 3, which is equal to the number of primary evaluation indicators, that is, the variance percentage and cumulative variance percentage of the initial eigenvalue are the same as the variance percentage and cumulative variance percentage of the sum of squares of the primary loadings.

[0099] According to step S224, the secondary evaluation index parameters shown in the following table are obtained.

[0100] Table 5 Secondary evaluation index parameters

[0101] Normalize the cumulative contribution ratio of the three factors to the total variance of the original data:

[0102]

[0103]

[0104] That is, the weights of each first-level evaluation index are 0.509, 0.247, and 0.244 respectively.

[0105] 3. Determine the weight of secondary indicators using the CRITIC method According to step S231 and step S232, the comparative strength of each secondary evaluation index of the bus station in Yinchuan City is calculated, and the calculation results are shown in the following table.

[0106] Table 6 Comparative calculation results

[0107] According to step S233, the contradictions of the secondary evaluation indicators of Yinchuan bus stations are calculated, and the calculation results are shown in the following table.

[0108] Table 7 Contradiction calculation results

[0109] According to step S234, the information carrying capacity of each secondary evaluation indicator of Yinchuan bus stations is calculated, and the calculation results are shown in the following table.

[0110] Table 8 Calculation results of information carrying capacity

[0111] According to step S235, the weights of the secondary evaluation indicators of Yinchuan bus stations are calculated, and the calculation results are shown in the following table.

[0112] Table 9 Calculation results of secondary index weights

[0113] 4. Calculate the weight of the evaluation index system The weights of the evaluation index system for Yinchuan bus stations calculated according to step S24 are shown in the following table.

[0114] Table 10 Evaluation index system weight results

[0115] Step 3: Calculate the comprehensive development suitability index of bus stations 1. Calculate the comprehensive development suitability score of bus stations using the VIKOR method According to step S311 and step S312, the maximum bus station development index attribute value of each secondary evaluation index of Yinchuan bus station is calculated and the minimum bus station development index attribute value As shown in the following table.

[0116] Table 11 Attribute values ​​of the largest / smallest bus station development indicators

[0117] According to step S313 and step S314, the group benefit value of each bus station in Yinchuan is calculated 、Individual regret value and comprehensive development evaluation score (i.e. comprehensive development index) (Compromise value ) as shown in the following table ( Take 0.5).

[0118] Table 12 Comprehensive development index of each bus station

[0119]

[0120] 2. Calculate the comprehensive development suitability score of bus stations using the TOPSIS method According to steps S321-S323, the attribute value of the largest bus station development index in Yinchuan is calculated. and minimum bus station development index attribute value As shown in the following table.

[0121] Table 13 Attribute values ​​of the largest / smallest bus station development indicators

[0122] The comprehensive development index of each bus station in Yinchuan City is calculated according to steps S324-S325 as shown in the following table.

[0123] Table 14 Comprehensive Development Index of Bus Stations

[0124]

[0125] 3. Calculate the final comprehensive development suitability index of bus stations According to step S33, the final comprehensive development suitability index of each bus station in Yinchuan is calculated.

[0126] 4. The final comprehensive development suitability index of each bus station in Yinchuan City is used to rank and grade them, as shown in the following table.

[0127] Table 15 Final comprehensive development suitability index of each bus parking lot

[0128]

[0129] Step 4: Identify parking lots suitable for integrated development It can be seen from the above table that the stations with evaluation grades A and B are: the old railway station parking lot, the North Gate parking lot, the Youai Center Road terminal, the Haibao East Road terminal, the exhibition hall parking lot, the Yuehai Bay Central Business District Comprehensive Hub Station, the Convention and Exhibition Center bus parking lot, and the Tongda North Street terminal. Their suitability for comprehensive development is relatively high and they are parking lots suitable for comprehensive development.

[0130] It should be noted that the electrical connection between the above-mentioned units does not necessarily mean the connection between lines. An indirect connection method can be applicable to the embodiments of the present disclosure as long as the purpose of the present disclosure is achieved.

[0131] Although the present disclosure has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure.

Claims

1. A method for evaluating the suitability of comprehensive development of bus stations, characterized in that: Adaptability assessment methods include: Selecting evaluation indicators, the evaluation indicators include primary evaluation indicators and secondary evaluation indicators, and determining initial values ​​of the secondary evaluation indicators; Calculate the weight of the evaluation index according to the initial value of the secondary evaluation index; The suitability index for comprehensive development of bus stations is calculated based on the weight of the evaluation index.

2. The suitability evaluation method according to claim 1, characterized in that: The first-level evaluation indicators include station location factors, station land use factors and traffic conditions around the station; The secondary evaluation indicators of the station location factors include the station location conditions, surrounding population distribution and the number of surrounding jobs; the secondary evaluation indicators of the station land use factors include the station scale, land use nature and surrounding land use nature; the secondary evaluation indicators of the traffic conditions around the station include urban road conditions and external traffic conditions.

3. The suitability evaluation method according to claim 1, characterized in that: The step of calculating the weight of the evaluation index according to the initial value of the secondary evaluation index comprises the following steps: Establish the original matrix according to the initial values ​​of the secondary evaluation indicators; The factor analysis method is used to determine the weight of the first-level evaluation index; The CRITIC method is used to determine the weights of the secondary evaluation indicators; Calculate the weights of the evaluation index system.

4. The suitability evaluation method according to claim 1, characterized in that: The method of calculating the adaptability index of the comprehensive development of bus stations according to the weight of the evaluation index comprises the following steps: The comprehensive development suitability index of bus stations is calculated using the VIKOR method; The TOPSIS method is used to calculate the comprehensive development suitability index of bus stations; The comprehensive development suitability index of the bus station is calculated by the VIKOR method and the TOPSIS method, and the final comprehensive development suitability index of the bus station is obtained by weighted average calculation.

5. The suitability evaluation method according to claim 3, characterized in that: The original matrix is ​​established according to the initial values ​​of the secondary evaluation indicators, including: According to the initial values ​​of the secondary evaluation indicators and the number of bus stations, the original matrix is ​​established , Among them, m is the number of bus stations, and n is the number of secondary evaluation indicators; is the initial value of the j-th secondary evaluation index of the ith bus station.

6. The suitability evaluation method according to claim 3, characterized in that: The method of determining the weight of the first-level evaluation index by using the factor analysis method includes extracting factors through the data of the second-level evaluation index and reversely inferring the weight of each evaluation index of the first-level evaluation index.

7. A bus station comprehensive development suitability evaluation system, characterized in that: The system includes an initial value determination module, a weight calculation module and an adaptability index calculation module, wherein: An initial value determination module is used to select evaluation indicators and determine the initial values ​​of secondary evaluation indicators; Weight calculation module, used to calculate the weight of evaluation indicators; The adaptability index calculation module is used to calculate the adaptability index of the comprehensive development of bus stations.

8. A computer storage medium, characterized in that: One or more programs are stored, and when the one or more programs are executed, the suitability evaluation method according to any one of claims 1 to 6 can be implemented.

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