Comparing Differences in Risk Perception between Unmanned Stations: Train vs. Subway

다국어 초록 (Multilingual Abstract)

Purpose: This study explored whether passengers’ risk perception varies depending on the type of unmanned station (train vs. subway). Specifically, the risk p erception of unmanned stations w as e xamined in t erms o f d read, catastrophe, and f atality. A t this t ime, i t was verif ied whether t he passenger’s characteristics (desirability vs. feasibility) served as a moderator variable.
Research design, data, and methodology: This study used the MANOVA design. The unmanned station type and passenger characteristics were placed as independent variables, and various types of risk perception or anxiety were placed a s dependent variables. R egression analysis w as u sed f or m ediating tests. The data respected demographic balance such as gender, age, and residential area, and were surveyed by 262 people. For major statistical analysis, mean differences were identified through ANOVA.
Results: In general, passengers were more dread of unmanned train stations than of unmanned subway stations. This trend was more salient among passengers who valued desirability than those who valued feasibility. The dread of unmanned stations was based on the association that the accident would be fatal. Among the various anxiety psychologies about unmanned stations, anxiety about management, the weak in transportation, and the system were important factors for dread of unmanned stations. This anxiety was stronger in the prevention focus passengers with strong risk aversion tendencies. In the case of an unmanned station accident, there was a tendency to attribute the passengers themselves to their own responsibilities at the subway station than at the train station.
Implications: This study showed that train stations and subway stations differ in risk perception for unmanned stations. In addition, it was shown that the risk perception of unmanned stations varies according to the characteristics of passengers and the type of anxiety. These results will be useful for strategies to introduce unmanned stations.