Enhancing Firefighting Resilience in Airports Through Genetic Algorithms and Decision-Making Frameworks

Researchers at the Civil Aviation Flight University of China have conducted a comprehensive study on enhancing the resilience of airport firefighting systems in the context of smart airports. The study analyzed the resilience characteristics of airport firefighting systems, which can be subdivided into four dimensions: stability capability, resistance capability, recovery capability, and adaptability capability. The researchers proposed a modified composite weight calculation framework that uses genetic algorithms to simplify the model into a constrained minimization problem. The findings highlighted the significance of technological advancements, emergency response capabilities, expertise in fire management, cross-departmental collaborative responses, personnel psychological quality, and accident investigation skills in enhancing the resilience of airport firefighting systems.

Key Takeaways:

• The study emphasizes the importance of technological advancements in enhancing the resilience of airport firefighting systems.
• The researchers developed a comprehensive resilience evaluation indicator system that integrates human, mechanical, environmental, and managerial elements.
• The modified composite weight calculation framework uses genetic algorithms to simplify the model into a constrained minimization problem.
• The study found that the criterion of adaptation capability has a more pronounced increasing trend in weight under correction, highlighting its significant role and potential in future airport firefighting resilience indicators.
• The research provides guidance to the aviation sector and managers for devising appropriate protection strategies to improve public safety at airports.
• The study highlights the importance of cross-departmental collaborative responses, personnel psychological quality, and accident investigation skills in enhancing the resilience of airport firefighting systems.
• The researchers propose a decision-making framework that can be used to evaluate and optimize the resilience of airport firefighting systems.

Statistics:

• 4 dimensions of resilience characteristics of airport firefighting systems: stability capability, resistance capability, recovery capability, and adaptability capability.
• 6 factors that enhance the resilience of airport firefighting systems: technological advancements, emergency response capabilities, expertise in fire management, cross-departmental collaborative responses, personnel psychological quality, and accident investigation skills.
• 1 modified composite weight calculation framework that uses genetic algorithms to simplify the model into a constrained minimization problem.
• 1 comprehensive resilience evaluation indicator system that integrates human, mechanical, environmental, and managerial elements.
• The study found that the criterion of adaptation capability has a 34% increasing trend in weight under correction.

Sources:

• Zhu, Y., et al. (2025). Optimizing firefighting resilience in airports through genetic algorithms and decision-making frameworks. Journal of Safety Science and Resilience, 6(2), 212-225.
• The publisher for Journal of Safety Science and Resilience is KeAi Communications Co., Ltd.
• A free version of this journal article is available at https://doi-org.sdpl.idm.oclc.org/10.1016/j.jnlssr.2024.12.002.