2025 Volume 81 Issue 4 Article ID: 24-00165
It is considered that recent change of rail usage is heterogeneous by individuals. In addition, it is expected that big data provides insights that have not been perceived by existing official statistics. Therefore, the purpose of this study is to classify the changes in people’s rail usage due to coronavirus disease (COVID-19) spread in terms of the usage frequency by individuals, based on historical ticket gate data in a station at multiple time, and reveal that the changes are diverse and heterogeneous.
Patterns of changes in rail usage by individuals is revealed with focusing on 8, 037 people who are considered habitual rail usage and who were commuter regularly on weekdays at least a certain number of times in both 2018 and 2019, and using the concept of elasticity diagrams: did not change much, changed and returned, did not return. The significance of this study is visualization of these diversity and heterogeneity which are not revealed only by average change in number of users.