Data Envelopment Analysis(DEA)-Malmquist-Tobit Model Based Efficiency Evaluation of Passengers'Entrance Check of Railway Station under Public Transportation Operation Mode
In order to address the accuracy and scientificity issues in evaluating the efficiency of railway passengers'entrance checks,in response to the characteristics of public transportation operation such as large passenger flow and intensive train schedules under the background of regional integration,this study focused on evaluating the efficiency of passengers'entrance checks at stations of core cities in the Yangtze River Delta region.Firstly,an index filter model,integrating the coefficient of variation and principal component analysis,was constructed to establish an evaluation index system for passengers'entrance check efficiency.Secondly,the DEA-Malmquist efficiency evaluation model was applied to evaluate the entrance check efficiency of 20 stations of different grades,and the trends in entrance check efficiency across different stations were analyzed with time series data.Finally,the Tobit finite regression model was used to quantitatively analyze the factors influencing passengers'entrance check efficiency.The results demonstrate that the DEA-Malmquist-Tobit model,integrating the advantages of different models,enables a more comprehensive evaluation of efficiency changes and influencing factors in railway passenger stations.Research conclusions provide valuable insights for railway transportation departments in improving station check efficiency and optimizing passenger transport organization.
Public Railway OperationEntrance CheckDEA-Malmquist Efficiency Evaluation ModelTobit Finite Regression ModelIndex Filter Model