An Innovative Exploration of Post-Evacuation Assessment Systems

DOI: https://doi.org/10.62517/jmsd.202512223

Author(s)

Xikun Li*

Affiliation(s)

Beijing University of Civil Engineering and Architecture, Beijing, China *Corresponding Author

Abstract

With the development of society, public security events become more complex, and the innovation of the post-evacuation assessment system, as an important link in public security management, is particularly critical. This paper proposes an evacuation effect retrospective analysis method based on multi-source data, covering data sources such as surveillance video, cell phone signaling, social media, etc. It details how to integrate and analyze these data to obtain comprehensive evacuation effect information. Meanwhile, quantitative indicators of evacuation efficiency, such as the "golden escape time utilization rate", are established to provide precise measurement tools for evaluating the evacuation process. In addition, develop an AI-driven automatic optimization tool chain for evacuation scenarios, using its powerful computing and learning capabilities to achieve dynamic optimization of evacuation scenarios. These innovative directions aim to make up for the current research shortcoming of "focusing on the plan but not the assessment", form a management closed loop, and improve the specificity and effectiveness of the post-evacuation assessment system, so as to provide strong support for the development of more reasonable and efficient evacuation plans, enhance the ability to respond to emergencies, and safeguard the public's lives and property.

Keywords

Post-Evacuation Assessment; Multi-Source Data; Quantitative Metrics; AI Optimization; Public Safety

References

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