Author(s)

Ang Jia ¹

Affiliation(s)

¹ China Fire and Rescue Institute, Beijing, China

Corresponding Author

Ang Jia

ABSTRACT

This study addresses the issue of multi-level collaborative dispatch in the field of emergency rescue by proposing and constructing a comprehensive multi-level emergency rescue collaborative dispatch model. The model aims to enhance the efficiency and effectiveness of emergency responses by integrating resources across departments and regions, optimizing dispatch algorithms, and establishing efficient information sharing and communication mechanisms. The model design fully considers the functions and responsibilities of different levels, employing a variety of dispatch strategies such as heuristic algorithms, dynamic programming, and genetic algorithms to adapt to complex and ever-changing emergency scenarios. Additionally, the model incorporates real-time data collection and processing technologies to ensure the timeliness and accuracy of information. Through a series of empirical analyses and case studies, the model's validity and practicality have been verified. The research results indicate that the model can significantly improve the coordination and response speed of emergency rescue, reduce rescue time, and minimize losses, providing new theoretical and practical guidance for emergency management. 

KEYWORDS

Emergency Rescue; Collaborative Dispatch; Multi-level Management; Dispatch Algorithms; Information Sharing; Real-time Data Processing

CITE THIS PAPER

Ang Jia, Multi-Level Emergency Rescue Coordination Scheduling Model. Social Security and Administration Management (2024) Vol. 5: 102-107. DOI: http://dx.doi.org/10.23977/socsam.2024.050214.

REFERENCES

[1] Zhang Yu, Han Mei, Tang Zhaoping, et al. Optimization of Location Selection for Multi-Level Collaborative Subway Emergency Rescue Bases[J]. Railway Transport and Economy, 2024, 46(04): 161-171. DOI: 10.16668/j.cnki.issn.1003-1421.2024.04.20.
[2] Gan Yuan. Research on the Structural Logic of Government Organized Emergency Collaborative Networks[D]. East China University of Political Science and Law, 2021. DOI: 10.27150/d.cnki.ghdzc.2020.001360.
[3] Kang Kai, Chen Tao, Yuan Hongyong. Multi-Level Emergency Rescue Coordination Scheduling Model[J]. Journal of Tsinghua University (Science and Technology), 2016, 56(08): 830-835+843. DOI:10.16511/j. cnki. qhdxxb. 2016.25.022.
[4] Tang Junjie, Li Xiaofeng, Si Tianyu. Research on the Construction of Comprehensive Multi-Level Intelligent Fire Supervision Platform [J]. Fire Science and Technology (Electronic Edition), 2023, 9(03): 1-3. DOI: 10.16859/j.cnki.cn12-9204/tu.2023.03.052.

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