This study developed a structured framework to evaluate the response capabilities of emergency response organizations in nuclear power plants, grounded in resilience engineering principles. Key response factors were identified and categorized, then analyzed probabilistically by integrating the analytic hierarchy process with Monte Carlo simulation, utilizing expert judgment To determine the relative importance of each evaluation factor while quantitatively addressing the inherent uncertainty in expert responses, weight distributions were derived instead of deterministic point estimates. The probabilistic analysis confirms the significance of practical response-related factors, such as response procedures, decision-making criteria, and risk perception-highlighting the critical role of organizational preparedness and procedural clarity in emergency situations. The identified protection-related factors provide a structured framework for assessing and improving emergency response capabilities, facilitating more reliable resource allocation and enhancing resilience. Future research could analyze the sensitivity of the results by applying alternative probability distribution models or extend this probabilistic framework to strengthen the effectiveness of other emergency response strategies.
Lee et al. (Thu,) studied this question.