Context-specific, scenario-based risk scales.

Area of Science:

• Decision Science
• Emergency Management
• Risk Assessment

Background:

• Effective emergency response hinges on rapid decision-making under stress.
• Traditional risk scales are often inadequate for dynamic environments with limited cognitive resources or unknown probabilities.
• Existing scales may not be feasible or appropriate for real-world emergency training scenarios.

Purpose of the Study:

• To propose a novel method for developing context-specific, scenario-based risk scales for emergency response training.
• To address the limitations of existing risk assessment tools in dynamic and uncertain emergency situations.
• To create a training tool that reduces reliance on known probabilities and minimizes cognitive load.

Main Methods:

• Developed context-specific, scenario-based risk scales using emergency scenarios as scale points.
• Utilized trainer/trainee ranking of risk scenarios, aggregating orders with Kemeny ranking.
• Proposed measures for assessing the scale's internal consistency, reliability, and validity.

Main Results:

• Successfully developed a risk scale for subsurface coal mine emergencies.
• Demonstrated the process for creating scenario-based risk scales adaptable to different emergency contexts.
• Tested and confirmed the reliability of the developed risk scale through repeated application.

Conclusions:

• Scenario-based risk scales offer a practical and effective alternative for emergency response training.
• This method enhances decision-making capabilities in high-stress, uncertain environments.
• The developed risk scales are reliable, valid, and suitable for training diverse emergency response teams.