Theoretical and empirical analysis reveals an improved evaluation framework for emergency response effectiveness in civil airports, suggesting better algorithms and methodologies.
The Civil Aviation Administration of China mandates comprehensive evaluations of emergency response effectiveness. However, existing studies predominantly focus on evaluating response capabilities rather than actual effectiveness. This leads to evaluation results deviating from reality. Other studies evaluating response effectiveness are mostly limited by incomplete indicator systems and flawed algorithms. To address the questions, this study takes runway unsafe events as the study subject, focuses on evaluating response effectiveness, examines common evaluation methodologies, identifies critical gaps in indicator systems, and discusses traditional algorithmic vulnerabilities. Utilizing the Delphi method and fuzzy Analytic Hierarchy Process, this study establishes a four-tier indicator system encompassing evaluation objectives, phases, processes, and elements and proposes an optimized model incorporating scoring criteria, indicator weights, and correction coefficients designed to mitigate inherent algorithmic vulnerabilities prevalent in traditional methodologies. Finally, two simulation verifications based on real incidents demonstrate that the model of emergency response effectiveness at civil airports has a notable improvement in evaluation accuracy.
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Sun et al. (2025) studied this question.
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