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

被引：5

作者：

Shao, Quan ^{[1
]}

Yuan, Jia ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Coll Civil Aviat, Nanjing 211106, Peoples R China

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2022年 / 598卷

基金：

中国国家自然科学基金;

关键词：

Tripartite game; System dynamics model; Collective events; Flight delays; CONTAGION; MODEL;

D O I：

10.1016/j.physa.2022.127341

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

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. (C) 2022 Elsevier B.V. All rights reserved.

引用

页数：16

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