Analysis of Influencing Factors of Intercity Passenger Residence Time Based on Survival Analysis Theory

The residence time of intercity passengers is an important factor affecting the frequency of intercity railway departures, and it also reflects the service level of stations to a certain extent. However, due to the unique statistical properties and complexity of the residence time, the censored, and non-negative in the data processing process frequently appear, which causes scholars to encounter bottlenecks when studying the problem in depth. Based on this, this paper considers the advantages of biomathematics in dealing with such data. It is proposed to introduce a parametric survival analysis model in biology to study the factors affecting passenger residence time and establish a passenger residence time evaluation system to determine the weight of each impact factor. At the same time, with the help of SPSS, the method of survival analysis Cox semi-parametric model is used to test the model parameters. The test results show that the model fits well. In the course of the research, this paper considers a number of characteristic variables related to passengers. The results show that the degree of influence of the transfer tool, the purpose of the trip, and the source of the cost on the passenger's residence time increases one by one. Moreover, the income level, age, and education level of passengers also have a certain degree of influence on the residence time of passengers. At the end of the paper, the significance of the research results on station management decision-making is analyzed separately.