Evolutionary game analysis of three parties in cold chain prevention and control safety under a major epidemic

Mengfan Xie

doi:10.1117/12.3011649

7 December 2023 Evolutionary game analysis of three parties in cold chain prevention and control safety under a major epidemic

Mengfan Xie

Author Affiliations +

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129413F (2023) https://doi.org/10.1117/12.3011649
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

This paper investigates the issue of cold chain safety during major outbreaks. By constructing an evolutionary game model, the dynamic game process between government, cold chain platforms and logistics firms is analyzed. Combined with system dynamics, simulation analysis of the dynamic game between the three parties’ strategic choices is conducted. The study shows that the behavioral strategies of all three parties have a certain degree of interactive influence. Regardless of the initial state, the system eventually evolves into a stable state of (1,1,1). Furthermore, the three parties involved in cold chain prevention and control are highly sensitive to external variables, and the final strategy is influenced by multiple factors. To effectively prevent and control the epidemic, the government should play a leading role and take various measures to stimulate the initiative of the participating parties.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mengfan Xie "Evolutionary game analysis of three parties in cold chain prevention and control safety under a major epidemic", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129413F (7 December 2023); https://doi.org/10.1117/12.3011649

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