Ordinal Logistic Regression Modeling Research on Decreasing Perceived Metro Transfer Time

This study newly develops two Ordinal Logistic Regression (OLR) models to explore effective ways to save Perceived Transfer Time (PTT) of metro passengers, in view of the difficulty of improving the infrastructure of a metro station. It is found that the PTT will be effectively decreased if the transfer walking congestion is released to be acceptable. Moreover, the congestion on the platform should be eliminated for reducing the PTT. In addition, decreasing the actual transfer waiting time to less than 5.00 min will evidently decrease the PTT. In future works, the effectiveness of the newly developed OLR models needs to be validated in a further and improved by applying them to study the PTT of metro passengers in different cities.