Changes in Rail Usage during Coronavirus Disease (COVID-19) Spread Based on Historical Ticket Gate Data in a Station

Abstract

Recently, the number of public transportation users has decreased because of the impact of Coronavirus Disease (COVID-19) spread. However, not all users have equally decreased their public transportation usage, and changes in use are different for each individual. Therefore, this study aims to examine the change in rail usage based on certain attributes and the details of the change in terms of usage time, focusing on those who did not change their high usage frequency. For such characteristic attributes in terms of the percentage of high frequency rail users, the degree of change and its volume were investigated using cluster analysis. The findings indicate that the degree of change in rail usage is diverse, which means that the change depends on people.