Railway-controller-perceived competence in incidents and accidents

Abstract

Railway controllers play a pivotal role in service recovery of normal rail system operations when incidents and accidents occur. Those in this position must have sufficient competence to overcome task difficulties caused by accident uncertainties. This study adopts Taiwan's railway system as a case study to diagnose railway-controller-perceived competence when facing diverse tasks during incidents and accidents that are derived from a proposed conceptual model. Railway-controller-perceived competence is measured using the Rasch model. Analytical results indicate that working with an external rescue agency handling a rescue operation, explanations to the public, and communication with an external rescue agency are considered the most troublesome tasks. Additionally, railway-controller-perceived competence differs based on the work experience. This information will prove useful for rail system operators and government regulators when designing and regulating railway controller competence management systems.

Statement of Relevance: This study presents a systematic approach for examining the gap between railway-controller-perceived competence and task difficulties associated with incidents and accidents. The relevance of findings encompasses the effects of transportation ergonomics and railway issues on the problem-solving competence and decision-making skills of railway controllers, and the competence management system.

Keywords:

• railway controller
• perceived competence
• Rasch model
• incidents and accidents

Acknowledgements

The authors of this study acknowledge the valuable suggestions of the editor, Dr. Mark Young, and two anonymous reviewers, who helped immensely in improving manuscript quality. The authors also thank Mr. Chin-Kai Kuo for his team's assistance in data collection.