CN115600807A - Method for evaluating railway passenger arrival check efficiency of public transportation operation - Google Patents

Method for evaluating railway passenger arrival check efficiency of public transportation operation Download PDF

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CN115600807A
CN115600807A CN202211244432.8A CN202211244432A CN115600807A CN 115600807 A CN115600807 A CN 115600807A CN 202211244432 A CN202211244432 A CN 202211244432A CN 115600807 A CN115600807 A CN 115600807A
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姚佼
何家平
赵靖
王嘉文
韩印
李俊杰
李佳洋
陈信
吴秀荣
谢贝贝
张聪
王银
王祯琦
宋恺霖
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University of Shanghai for Science and Technology
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Abstract

The invention is suitable for the technical field of supervision and control of railway passenger transportation safety, and provides a method for evaluating the check efficiency of railway passenger arrival in public transportation operation, which comprises the following steps: analyzing the characteristics of the railway public transportation operation; determining a scientific evaluation index system after screening; a passenger arrival checking efficiency comprehensive evaluation model facing public transportation operation; and comprehensively evaluating the passenger inbound checking efficiency. The invention fully considers the scientificity of an evaluation index system aiming at the development characteristics of a public transportation operation mode, constructs the evaluation index system after screening indexes, analyzes the static efficiency analysis of each stage aiming at the periods before and after the public transportation operation and the dynamic efficiency analysis on the whole time sequence, analyzes the efficiency characteristics and the efficiency change trend of stations of different grades in different stages, performs quantitative analysis on influence factors, completes the determination of the action mechanism of the factors influencing the passenger check efficiency, and realizes the comprehensive evaluation of the passenger check efficiency of the stations.

Description

Method for evaluating railway passenger arrival checking efficiency in public transportation operation
Technical Field
The invention belongs to the technical field of supervision of railway passenger transportation safety, and particularly relates to a method for evaluating railway passenger arrival checking efficiency in public transportation operation.
Background
Under the background of regional integrated development, high-speed rails between cities operate like urban buses, and in order to meet the requirements of high-frequency commuting, commuting and commuter passenger flow on coming and going, railway passenger transportation has the characteristics of public transportation operation such as large passenger flow, dense class, obvious commuting requirements and the like, and a new mode of railway public transportation operation is formed. The novel characteristics that this mode shows at train and station hall will produce great influence to passenger transportation efficiency, and the characteristics of public transit operation train density big, interval short also cause the problem that a large amount of passengers arrive at the station high-frequency when promoting station passenger's delivery volume, have brought huge pressure for the station in the aspect of improving passenger checking efficiency that arrives at the station. Therefore, the method objectively and reasonably constructs a railway passenger arrival check efficiency evaluation model oriented to the public transportation operation mode, explores important influence factors under the public transportation operation, and is an effective way for scientifically formulating a railway passenger transportation management strategy and improving the passenger arrival check efficiency under the future railway travel mode commonly applied to the public transportation operation.
Currently, related researches on the evaluation of railway passenger transportation efficiency are mostly focused on carrying out efficiency evaluation of a certain single stage by using a data envelope method and an improved method thereof, and the construction of an index system is mostly based on actual conditions or experience, so that the system is lack of deep exploration on staged efficiency changes and authority of evaluation indexes in multiple periods under a new mode of public transportation operation; the method is particularly related to the research of passenger inbound check, is limited to general conditions, does not consider the environmental characteristics under a new mode of public transportation operation, is not advanced all the time, cannot be applied to the current or future railway passenger transport system, and similarly, the index system of the existing model also has no applicability, so that the method for evaluating the inbound check efficiency of the railway passengers in public transportation operation is provided.
Disclosure of Invention
The invention aims to provide an evaluation method for checking efficiency of railway passenger arrival in public transportation operation, and aims to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a method for evaluating the check efficiency of the arrival of railway passengers in public transportation operation comprises the following steps:
s-1, analyzing the characteristics of the railway public transportation operation:
s-1-1, characteristics and influences of railway public transportation operation;
s-1-2, preliminarily drawing up an evaluation index;
s-2, determining a scientific evaluation index system after screening:
s-2-1, filtering low-influence indexes by an index screening model;
s-2-2, filtering the indexes with high contact ratio by an index screening model;
s-3, a passenger arrival check efficiency comprehensive evaluation model facing public transportation operation:
s-3-1, evaluating static efficiency of stations with different levels based on DEA;
s-3-2, evaluating the dynamic efficiency of stations with different grades on a time sequence;
s-3-3, quantitatively analyzing factors influencing passenger inbound inspection efficiency;
s-4, comprehensively evaluating passenger inbound inspection efficiency:
s-4-1, calculating by using a DEAP (dead England) model and a STATA (static and active) model to obtain dynamic and static efficiency values;
and S-4-2, providing improvement suggestions of stations of different grades under the condition of bus-based operation.
Further, in the step S-2, a filtering rule of the low influence degree index is established:
Figure BDA0003885824750000021
wherein, K i The information carrying amount of the index, n is the number of sample units, a λi For the value of the ith indicator at the λ sample cell, λ =1,2, ·, n; w m The contribution rate is accumulated for the amount of information,
Figure BDA0003885824750000022
i =1, 2.. Said.m, for information carrying quantity affecting the top m indicators from high to low; s is the total number of indexes.
Further, in the step S-2, a filtering rule of the high contact ratio index is established:
Figure BDA0003885824750000031
wherein, delta ij Indicating the degree of information coincidence between the i index and the j indexN is the number of sample units, a λi Is the value of the ith indicator at the λ sample cell, λ =1, 2.., n; p i Degree of coincidence, D, carrying information for index i i,(m-1) Is an index a i A subset of the other indicators;
Figure BDA0003885824750000032
the average value of all indexes of contact ratio.
Further, in the step S-3, a static efficiency evaluation model of the inspection efficiency of the passenger landing is established:
Figure BDA0003885824750000033
wherein x is ij Shows the input amount (x) of the i-th index at the j-th decision unit ij >0) P is the number of input indexes; y is rj Shows the output (y) of the r-th index at the j-th decision unit rj >0) Q is the number of output indexes; omega j The weight of the jth decision unit; theta is a parameter; ε is a non-Archimedes infinitesimal quantity;
Figure BDA0003885824750000034
in order to be a function of the relaxation variable,
Figure BDA0003885824750000035
are the remaining variables.
Further, in step S-3, a dynamic evaluation model of passenger inbound inspection efficiency is established:
Figure BDA0003885824750000041
wherein, M (x) t+1 ,y t+1 ,x t ,y t ) (x) tendency of all-element productivity from the t period to the t +1 period t+1 ,y t+1 ) And (x) t ,y t ) Input and output vectors of a t +1 period and a t period;
Figure BDA0003885824750000042
and
Figure BDA0003885824750000043
respectively representing a distance function of a period T and a period (T-1) by taking the T period technology T as a reference, and EC as a technical efficiency change index; TC is a technical progress index; TE is the pure technical efficiency, SE is the scale efficiency, TFP is the Malmquist index.
Further, in the step S-3, the model is established to perform quantitative analysis on the factors affecting the inspection efficiency of passenger landing:
Y i * ＝βX i +σ
Figure BDA0003885824750000044
Figure BDA0003885824750000045
Figure BDA0003885824750000046
wherein Y is i * Is a dependent variable of the i-th decision unit, X i Is an independent variable of the ith decision unit; beta is a parameter to be determined, beta 0 Is a constant term; beta is a k Regression parameter for the kth influencing factor, a kit The variable value of the k-th influencing factor of the ith decision unit in the t period is sigma, random interference is generated, and s is the number of the influencing factors.
Further, in the step S-1, the characteristics of the railway public transportation operation include the study of changes and improvements in ticket service, in-station service and train organization, and the analysis of the link of ticket purchase, real-name system inspection, security inspection, danger inspection and in-station waiting on the influence on the inspection efficiency of entering the station.
Further, in the step S-4, a simulation operation is performed by using a DEAP and sta model to obtain a comprehensive evaluation data map of passenger inbound checking efficiency, and the performance of passenger inbound checking efficiency at different levels of stations is judged according to the comprehensive efficiency, the pure technical efficiency, the scale efficiency and the scale increase and decrease situation; judging the efficiency change situation according to the full-factor productivity, the technical progress, the technical efficiency change, the pure technical efficiency change and the scale efficiency change index; and judging the action mechanism of each influence factor on the passenger inbound checking efficiency according to the interpretation variables, the regression coefficients and the significance in the influence factor regression data.
Compared with the prior art, the invention has the beneficial effects that:
the method for evaluating the inspection efficiency of the railway passenger on the approach for the public transportation operation fully considers the scientificity of an evaluation index system according to the development characteristics of a public transportation operation mode, the evaluation index system is established after indexes are screened, static efficiency analysis of each stage is carried out according to the periods before and after the public transportation operation, dynamic efficiency analysis on the whole time sequence is carried out, efficiency characteristics and efficiency change trends of stations of different grades in different stages are analyzed, influence factors are quantitatively analyzed, the determination of a factor action mechanism influencing the inspection efficiency of the passenger on the approach is completed, the comprehensive evaluation of the inspection efficiency of the railway passenger on the approach for the public transportation operation is realized, and the goal of the evaluation of the inspection efficiency of the railway passenger on the approach for the public transportation operation is reached.
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FIG. 1 is a flow chart of an embodiment of the present invention;
FIG. 2 is a schematic diagram of a preliminarily established evaluation index according to the present invention;
FIG. 3 is a schematic diagram of a scientific evaluation index system finally determined in the present invention;
FIG. 4 is a graph of passenger check efficiency values at 20 stations in 2020 and 2021 according to the present invention;
FIG. 5 is a Malmquist index diagram of the total performance of the passenger inbound inspection efficiency in 2019-2021 in the invention;
FIG. 6 is a schematic diagram showing the variation trend of the checking efficiency of passengers entering the station at 20 stations in the invention;
fig. 7 is a schematic diagram of a regression result of the passenger inbound inspection efficiency influencing factor Tobit in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Specific implementations of the present invention are described in detail below with reference to specific embodiments.
An embodiment of the invention provides an evaluation method for checking efficiency of railway passenger arrival in public transportation operation, which comprises the following steps:
s-1, analyzing the characteristics of the railway public transportation operation:
s-1-1, characteristics and influences of railway public transportation operation;
s-1-2, preliminarily drawing up an evaluation index;
s-2, determining a scientific evaluation index system after screening:
s-2-1, filtering low-influence indexes by an index screening model;
s-2-2, filtering the indexes with high contact ratio by an index screening model;
s-3, a passenger arrival check efficiency comprehensive evaluation model facing public transportation operation:
s-3-1, evaluating static efficiency of stations with different levels based on DEA;
s-3-2, evaluating the dynamic efficiency of stations with different grades on a time sequence;
s-3-3, quantitatively analyzing factors influencing passenger inbound inspection efficiency;
s-4, comprehensively evaluating passenger inbound inspection efficiency:
s-4-1, calculating by using a DEAP (dead Engineer analysis) and STATA (static efficiency) model to obtain dynamic and static efficiency values;
and S-4-2, providing improvement suggestions of stations of different grades under the condition of bus-based operation.
In the embodiment of the present invention, preferably, in step S-1, the objective of studying the railway transportation operation is: by comparing the difference between the railway public transportation and the traditional railway and urban traffic, the influence of the public transportation operation on the efficiency of the passenger station-entering checking link is summarized;
preferably, the method comprises the steps of firstly establishing an index screening model, constructing an index system for evaluating the check efficiency of the station check-in station after screening indexes, respectively establishing a static efficiency evaluation model and a dynamic efficiency evaluation model by using a DEA-Malmquist method to obtain the difference of the check efficiency of the station check-in station among different levels, analyzing the change trend of the check efficiency of the station check-in station based on a time sequence, establishing a Tobit analysis model to quantitatively analyze the influence factors of the check efficiency of the station check-in station of the passenger, obtaining the action mechanism of the influence factors on the change of the efficiency in the bus check-in operation mode, constructing the evaluation method of the check efficiency of the bus passenger check-in station of the bus operation, obtaining a Malmquist index map and a table by using simulation of DEAP and STATA to solve the model, and judging the characteristics and the change conditions of the check efficiency of the station railway check-in station according to the whole elements, the change of the technical efficiency and the technical progress index of the passenger check-in station operation, obtaining a Tobit regression result table, and judging the action factors of the check efficiency of the bus check-in each level according to the explanatory variable, the regression coefficient and the obvious effect of the check efficiency of the passenger. Preferably, the comprehensive evaluation of the passenger inbound check efficiency is realized, a DEA-Malmquist model is used, the advantages of weight hypothesis do not need to be set in advance, the relational expression between indexes does not need to be determined, the scientific and objective properties are achieved, the static and dynamic analysis is considered, and the purpose of realizing the comprehensive evaluation of the passenger inbound check efficiency is achieved.
Preferably, the index screening model comprises an index for ensuring authority elimination of the index and low influence degree and an index for ensuring validity elimination of the index and high contact degree, so that a scientific evaluation index system is established to conveniently evaluate the inspection efficiency of the passengers entering the station.
Preferably, in step S-4, a simulation study is performed by using DEAP and STATA to solve the comprehensive analysis of the inspection efficiency of the passenger arriving at the railway station facing the public transportation operation and the quantitative analysis of the influence factors, so as to obtain whether each decision unit in different periods is in the optimal state and the specific efficiency thereof, and the full-factor productivity and efficiency change index in the whole time sequence, thereby determining the variation trend of the inspection efficiency of the passenger arriving at the railway station, performing significance test on the influence factors, analyzing the action mechanism of the factors influencing the variation of the passenger arriving at the railway station under the public transportation operation, and completing the evaluation of the inspection efficiency of the passenger arriving at the railway station in the public transportation operation.
As a preferred embodiment of the present invention, in step S-2, a filtering rule of a low-impact index is established:
Figure BDA0003885824750000071
wherein, K i The information carrying amount of the index, n is the number of sample units, a λi Is the value of the ith indicator at the λ sample cell, λ =1, 2.., n; w m The contribution rate is accumulated for the amount of information,
Figure BDA0003885824750000081
i =1, 2.. Said.m, for information carrying quantity affecting the top m indicators from high to low; s is the total number of indexes.
In the embodiment of the present invention, preferably, K i The variation coefficient reflects the information quantity carried by the index by calculating the variation degree among the index values.
As a preferred embodiment of the present invention, in step S-2, a filtering rule of a high coincidence degree index is established:
Figure BDA0003885824750000082
wherein, delta ij Indicating the degree of information coincidence between the i index and the j index, n being the number of sample units, a λi For the value of the ith indicator at the λ sample cell, λ =1,2, ·, n; p is i Degree of coincidence, D, carrying information for index i i,(m-1) Is an index a i A subset of the other indicators;
Figure BDA0003885824750000083
the average value of all indexes of contact ratio.
In the embodiment of the present invention, preferably, δ ij The larger the index is, the higher the information coincidence degree between indexes is, otherwise, the larger the information coincidence degree between indexes is ij The smaller the information is, the lower the information coincidence degree between indexes is; p is i The larger the value is, the higher the coincidence degree between the index carrying information and the index set is, the more worthless the index is, otherwise, P i The smaller the value, the more valuable the indicator is; when in use
Figure BDA0003885824750000084
When the index i should be filtered; when in use
Figure BDA0003885824750000085
When the i index should be preserved.
As a preferred embodiment of the present invention, in step S-3, a static efficiency evaluation model of the inspection efficiency of passenger inbound inspection is established:
Figure BDA0003885824750000091
wherein x is ij The input amount (x) of the i-th index in the j-th decision unit ij >0) P is the number of input indexes; y is rj The output (y) of the r-th index in the j-th decision unit rj >0) Q is the number of output indexes; omega j The weight of the jth decision unit; theta is a parameter; ε is a non-Archimedes infinitesimal quantity;
Figure BDA0003885824750000092
in order to be a function of the relaxation variable,
Figure BDA0003885824750000093
are the remaining variables.
In the embodiment of the present invention, preferably, in the static efficiency evaluation model of passenger inbound check efficiency, whether a station is DEA-enabled, that is, whether the station is in the state of optimal passenger inbound efficiency according to the magnitude relationship between the model optimal solution and 1 is determined, so as to obtain the comprehensive efficiency, the pure technical efficiency, the scale efficiency, and the scale increase and decrease situation of each station, and determine the level of passenger inbound check efficiency of the station in a certain period.
As a preferred embodiment of the present invention, in step S-3, a dynamic evaluation model of passenger inbound inspection efficiency is established:
Figure BDA0003885824750000094
wherein, M (x) t+1 ,y t+1 ,x t ,y t ) (x) tendency of all-element productivity from the t period to the t +1 period t+1 ,y t+1 ) And (x) t ,y t ) Input and output vectors of a t +1 period and a t period;
Figure BDA0003885824750000101
and
Figure BDA0003885824750000102
respectively representing a distance function of a T period technology T as a reference, a period T and a period (T-1), and EC is a technical efficiency change index; TC is a technical progress index; TE is the pure technical efficiency, SE is the scale efficiency, TFP is the Malmquist index.
In the embodiment of the invention, preferably, when TFP is more than 1, the representation efficiency is improved compared with the previous time sequence; when TFP < 1, the efficiency is reduced from the previous time series.
Preferably, in the dynamic evaluation model of the passenger inbound check efficiency, the full-factor productivity, the technical progress, the technical efficiency change, the pure technical efficiency change and the scale efficiency change of stations of different levels in the time sequence before and after the public transportation operation mode are obtained, and the dynamic change of the passenger inbound check efficiency in the time sequence is obtained.
As a preferred embodiment of the present invention, in step S-3, the model is established to perform quantitative analysis on the factors affecting the inspection efficiency of passenger landing:
Y i * ＝βX i +σ
Figure BDA0003885824750000103
Figure BDA0003885824750000104
Figure BDA0003885824750000105
wherein, Y i * Is a dependent variable of the i-th decision unit, X i Is an independent variable of the ith decision unit; beta is a parameter to be determined, beta 0 Is a constant term; beta is a k Regression parameter for the k-th influencing factor, a kit And the variable value of the k-th influence factor of the ith decision unit in the period t, wherein sigma is random interference and s is the number of the influence factors.
In the embodiment of the present invention, preferably, Y i * The dependent variable of the ith decision unit is represented, namely the inbound inspection comprehensive efficiency obtained by the model; x i The independent variables of the ith decision unit, namely the indexes obtained by the index screening model; if beta is k The influence factor is in positive correlation with the efficiency result in a regular mode, otherwise, the influence factor is in negative correlation;
preferably, the influence factors are quantitatively analyzed, and the significance and the correlation parameters of the influence factors are obtained according to model analysis, so that a factor action mechanism which has significant influence on the passenger inbound inspection efficiency is obtained.
As a preferred embodiment of the present invention, in the step S-1, the characteristics of the railway transportation operation include studying the changes and improvements generated in the ticketing service, the in-station service, and the driving organization, and analyzing the influence on the check efficiency of entering the station from the links of ticket purchase, real-name system check, security check and security check, and waiting in the station.
As a preferred embodiment of the present invention, in step S-4, a DEAP model and a STATA model are used to perform simulation operation to obtain a comprehensive evaluation data diagram of passenger inbound checking efficiency, and the performance of passenger inbound checking efficiency at different levels of stations is judged according to the comprehensive efficiency, the pure technical efficiency, the scale efficiency and the scale increase and decrease situation; judging the efficiency change situation according to the whole element productivity, the technical progress, the technical efficiency change, the pure technical efficiency change and the scale efficiency change index; and judging the action mechanism of each influence factor on the passenger inbound checking efficiency according to the interpretation variables, the regression coefficients and the significance in the influence factor regression data.
The working principle of the invention is as follows:
the method for evaluating the inspection efficiency of the passenger arriving at the station in the public transportation operation fully considers the scientificity of an evaluation index system according to the development characteristics of a public transportation operation mode, the evaluation index system is established after indexes are screened, static efficiency analysis of each stage is carried out according to the periods before and after the public transportation operation, dynamic efficiency analysis on the whole time sequence is carried out, the efficiency characteristics and the efficiency change trend are analyzed, influence factors are quantitatively analyzed, the determination of the action mechanism of the factors influencing the inspection efficiency of the passenger arriving at the station is completed, the comprehensive evaluation of the inspection efficiency of the passenger arriving at the station is realized, and the goal of evaluating the inspection efficiency of the passenger arriving at the station in the public transportation operation is reached.
In conclusion, the method for evaluating the railway passenger inbound check efficiency in the public transportation operation establishes a preliminary index system according to the characteristics of the public transportation operation, and obtains a scientific and authoritative evaluation index system through low influence degree and high coincidence degree screening of an index screening model as shown in figures 1 and 2; comprehensively evaluating the inspection efficiency of the railway passenger entering the station to obtain the static efficiency characteristics and the dynamic efficiency change trend of each railway station, as shown in figures 3, 4 and 5; the comprehensive efficiency and all the influence factors are regressed to obtain the action mechanism of all the influence factors on the passenger inbound check efficiency, as shown in figure 6, so that the problems that the characteristics of a new mode of railway public transportation operation are not considered and the comprehensive evaluation of the multidimensional efficiency by a scientific evaluation index system cannot be realized in the prior art are effectively solved, and the evaluation of the railway passenger inbound check efficiency in public transportation operation is realized.
The above is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, it is possible to make several variations and modifications without departing from the concept of the present invention, and these should be considered as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the practicability of the patent.

Claims (8)

1. A method for evaluating the check efficiency of railway passenger arrival in public transportation operation is characterized by comprising the following steps:
s-1, analyzing the characteristics of the railway public transportation operation:
s-1-1, characteristics and influences of railway public transportation operation;
s-1-2, preliminarily drawing up an evaluation index;
s-2, determining a scientific evaluation index system after screening:
s-2-1, filtering low-influence indexes by an index screening model;
s-2-2, filtering the indexes with high contact ratio by an index screening model;
s-3, a passenger arrival checking efficiency comprehensive evaluation model for public transportation operation:
s-3-1, evaluating static efficiency of stations with different levels based on DEA;
s-3-2, evaluating the dynamic efficiency of stations with different grades on a time sequence;
s-3-3, quantitatively analyzing factors influencing inspection efficiency of passenger landing;
s-4, comprehensively evaluating passenger inbound inspection efficiency:
s-4-1, calculating by using a DEAP (dead Engineer analysis) and STATA (static efficiency) model to obtain dynamic and static efficiency values;
and S-4-2, providing improvement suggestions of stations of different grades under the condition of bus-based operation.
2. The method for evaluating the checking efficiency of the passenger arriving at the station in the public transportation operation according to claim 1, wherein in the step S-2, a filtering rule of low-influence degree index is established:
Figure FDA0003885824740000011
wherein, K i The amount of information carried representing the index, n is the number of sample units, a λi For the value of the ith indicator at the λ sample cell, λ =1,2, ·, n; w is a group of m The rate of contribution is accumulated for the amount of information,
Figure FDA0003885824740000012
i =1,2,.., m for information carrying quantity affecting the top m indicators of the degree from high to low; s is the total number of indexes.
3. The method for evaluating the checking efficiency of the inbound check of the railway passengers in the public transportation operation according to claim 2, wherein in the step S-2, a filtering rule of a high contact ratio index is established:
Figure FDA0003885824740000021
wherein, delta ij Indicating the degree of information coincidence between the i index and the j index, n being the number of sample units, a λi Is the value of the ith indicator at the λ sample cell, λ =1, 2.., n; p i Coincidence, D, carrying information for index i i,(m-1) Is an index a i A subset of the other indicators;
Figure FDA0003885824740000022
is the average of all indexes of contact ratio.
4. The method for evaluating the checking efficiency of the passengers arriving at the station of the railway for public transportation operation according to claim 1, wherein in the step S-3, a static efficiency evaluation model of the checking efficiency of the passengers arriving at the station is established:
Figure FDA0003885824740000023
wherein x is ij The input amount (x) of the i-th index in the j-th decision unit ij >0) P is the number of input indexes; y is rj The output (y) of the r-th index in the j-th decision unit rj >0) Q is the number of output indexes; omega j The weight of the jth decision unit; theta is a parameter; ε is a non-Archimedes infinitesimal quantity;
Figure FDA0003885824740000024
in order to be a function of the relaxation variable,
Figure FDA0003885824740000025
are the remaining variables.
5. The method for evaluating the checking efficiency of the passenger arriving at the station of the railway of the public transportation operation as claimed in claim 4, wherein in the step S-3, a dynamic evaluation model of the checking efficiency of the passenger arriving at the station is established:
Figure FDA0003885824740000031
wherein, M (x) t+1 ,y t+1 ,x t ,y t ) (x) tendency of all-element productivity from the t period to the t +1 period t+1 ,y t+1 ) And (x) t ,y t ) Input and output vectors of a t +1 period and a t period;
Figure FDA0003885824740000032
and
Figure FDA0003885824740000033
respectively representing a distance function of a period T and a period (T-1) by taking the T period technology T as a reference, and EC as a technical efficiency change index; TC is a technical progress index; TE is pure technologyEfficiency, SE scale efficiency, TFP Malmquist index.
6. The method for evaluating the checking efficiency of the passengers arriving at the station for railway of public transportation operation according to claim 5, wherein in the step S-3, the model is established to carry out quantitative analysis on the factors influencing the checking efficiency of the passengers arriving at the station:
Y i * ＝βX i +σ
Figure FDA0003885824740000034
Figure FDA0003885824740000035
Figure FDA0003885824740000036
wherein, Y i * Is a dependent variable of the i-th decision unit, X i Is an independent variable of the ith decision unit; beta is a parameter to be determined, beta 0 Is a constant term; beta is a beta k Regression parameter for the kth influencing factor, a kit The variable value of the k-th influencing factor of the ith decision unit in the t period is sigma, random interference is generated, and s is the number of the influencing factors.
7. The method for evaluating the inspection efficiency of the passenger train arriving at the station in the public transportation operation according to claim 1, wherein in the step S-1, the characteristics of the railway public transportation operation include the study of the changes and improvements generated in the aspects of ticketing service, in-station service and train organization, and the analysis of the links of ticket purchase, real-name system inspection, security inspection and danger and in-station waiting on the inspection efficiency of arriving at the station.
8. The method for evaluating the checking efficiency of passenger arriving at a railway in public transportation operation as claimed in claim 1, wherein in step S-4, a comprehensive evaluation data graph of the checking efficiency of passenger arriving at a railway is obtained by performing simulation operation using a DEAP and STATA model, and the performance of the checking efficiency of passenger arriving at a railway station at different levels is judged according to the comprehensive efficiency, the pure technical efficiency, the scale efficiency and the scale increase and decrease situation; judging the efficiency change situation according to the full-factor productivity, the technical progress, the technical efficiency change, the pure technical efficiency change and the scale efficiency change index; and judging the action mechanism of each influence factor on the passenger inbound checking efficiency according to the interpretation variables, the regression coefficients and the significance in the influence factor regression data.
CN202211244432.8A 2022-10-12 2022-10-12 Method for evaluating railway passenger arrival check efficiency of public transportation operation Pending CN115600807A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116703225A (en) * 2023-06-12 2023-09-05 西安科技大学 Regional road transportation safety service level evaluation method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116703225A (en) * 2023-06-12 2023-09-05 西安科技大学 Regional road transportation safety service level evaluation method
CN116703225B (en) * 2023-06-12 2024-01-23 西安科技大学 Regional road transportation safety service level evaluation method

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