Study on the disposal strategy of civil aviation passenger collective events based on evolutionary game theory

Quan Shao and Jia Yuan

Physica A: Statistical Mechanics and its Applications, 2022, vol. 598, issue C

Abstract: It is very crucial to prevent the influence of passenger collective events because of the increasing number of such emergencies, which arise from flight delay. To solve this complex problem, this study constructed a tripartite evolutionary game model of airlines, the airport, and passengers. The simulation results show that the initial probability of the tripartite game strategies can influence the time length as well as convergence rate of system evolution, but will not influence the overall trend and final result of the evolution. Our results further suggest that the airport and airlines should adopt targeted measures to serve different types of passengers and control their costs within an appropriate range in order to improve passengers’ satisfaction and effectively avoid the occurrence of passenger collective events.

Keywords: Tripartite game; System dynamics model; Collective events; Flight delays (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:598:y:2022:i:c:s0378437122002692

DOI: 10.1016/j.physa.2022.127341

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