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Railway-controller-perceived competence in incidents and accidents
Yung-Hsiang Cheng1, Yu-Chun Tsai
1Department of Transportation and Communication Management Science, National Cheng Kung University, No. 1, University Road, Tainan City, 701, Taiwan ROC. yhcheng@mail.ncku.edu.tw
Railway controllers face challenges during incidents, with external rescue coordination and public communication being most difficult. Competence varies by experience, informing better management systems.
Area of Science:
- Transportation Science
- Human Factors Engineering
- Railway Operations Management
Background:
- Railway controllers are crucial for service recovery during incidents and accidents.
- Effective incident management requires controllers to possess high competence to handle uncertainties.
- Existing frameworks for assessing controller competence during crises are limited.
Purpose of the Study:
- To diagnose railway controller-perceived competence in Taiwan's railway system during incidents.
- To identify specific tasks that pose the greatest challenges to controllers.
- To analyze how work experience influences perceived competence.
Main Methods:
- A conceptual model was developed to frame the assessment of controller competence.
- The Rasch model was employed to measure railway controller-perceived competence.
- A case study of Taiwan's railway system was conducted.
Main Results:
- Coordination with external rescue agencies and public communication were identified as the most difficult tasks.
- Railway controller competence varied significantly based on the extent of work experience.
- A gap exists between perceived competence and task demands during incidents.
Conclusions:
- Findings provide insights for enhancing railway controller competence management systems.
- Recommendations are relevant for rail operators and government regulators.
- The study highlights the impact of transportation ergonomics and railway-specific issues on controller decision-making.
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