The User Research Of Automatic Fare Machine Based On Logistic Regression Analysis

Rail transport, as one of the most effective travelling ways in modern metropolises is no substitutable to the huge amounts of commuters and passengers with the rapid development of the cities. And the passengers could not be ignored in the designing of rail transportation operating system.By collecting and analyzing the data of the passengers to the automatic fare collection (AFC), can discover more of the influence factors work; substantiate and improve the research of the character of passenger flow in the transport hub to provide some base data of expanded research in transport hubs in our country and references basis to the standards formulating in the field of rail transportation.In this paper, methods of scientific static analysis and model process are utilized to provide reference basis to the design process of automatic fare machine. Firstly, establish a hypotheses model with studying the factor of acceptance of the passengers to the AFC, and then check the model by collecting and analyzing the data with the help of logistic regression method to find out the factor effect.Through the research of passengers to AFC, potential demands to the AFC could be dug out, and sustainment to improve the production system innovation, market development, and service could be provided.