首页|期刊导航|南京航空航天大学学报(英文版)|基于空域拥堵视角的空铁联运利益相关者的三方演化博弈模型

基于空域拥堵视角的空铁联运利益相关者的三方演化博弈模型OA

A Tripartite Evolutionary Game Model for Air-Rail Intermodal Transportation Stakeholders Based on Perspective of Airspace Congestion

中文摘要英文摘要

针对航空铁路多式联运(Air-rail intermodal transport,ARIT)系统中空域资源紧张、航线拥堵与多主体策略选择相互影响的问题,本文从空域拥堵治理视角出发,构建了企业、空中交通管制(Air traffic control,ATC)部门和乘客三方参与的空铁联运利益相关者演化博弈模型,以揭示拥堵收费机制下不同主体策略选择的演化规律及其影响因素.首先,基于企业是否引入空铁联运服务、空中交通管制部门是否实施拥堵收费、乘客是否选择空铁联运出行3类策略,综合考虑票价收入、里程成本、途中费用、拥堵收费、乘客共享率以及广义出行成本等因素,建立三方博弈收益矩阵;随后,推导各参与主体的复制动态方程,分析系统在不同初始状态和参数条件下的演化稳定性;最后,以京沪、京广和京昆走廊为典型案例,考察距离、途中费用和乘客共享率等关键因素对企业、空中交通管制部门和乘客最终策略选择的影响.研究结果表明,三方主体均倾向于选择能够提升自身收益的策略组合;企业在中等距离运输走廊上更倾向于引入空铁联运策略,而在短距离和长距离运输走廊上引入意愿相对较弱;空中交通管制部门在多数情形下倾向于实施拥堵收费策略,以缓解空域拥堵并优化资源配置;乘客在广义出行成本较低、途中费用可接受且共享率较高时更倾向于选择空铁联运.进一步分析发现,系统最终演化结果对距离、途中费用和乘客共享率等关键参数变化较为敏感,其中企业策略选择受参数扰动影响最为显著,说明企业是空铁联运系统协同发展的关键驱动主体.本文研究可为拥堵收费机制设计、空铁联运产品优化以及多主体协同治理提供理论和决策参考.

A tripartite evolutionary game model of enterprise,air traffic control(ATC)and passengers in an air-rail intermodal transport(ARIT)system was developed and investigated.The optimal interaction among enterprise,ATC and passengers was explored based on the congestion charging mechanism,as presented in terms of the payoffs and decision-making behaviors of three participants.Payoff matrices were established for three game players,wherein fare,mileage cost,en-route charge and generalized travel cost were taken into consideration.After that,the replicated dynamic equations were derived and employed to analyze the reliability of the proposed model and the dynamic behaviors of each game player under initial conditions.Eventually,the Beijing-Shanghai,Beijing-Guangzhou and Beijing-Kunming corridors were used as practical cases to clarify the impact of key factors(e.g.,distance,en-route charge and passenger sharing ratio)on the evolutionary trend and final strategy.The results showed that three players tend to choose the strategy which is always profitable.The enterprises would choose to introduce the ARIT strategy in medium-distance route,but not in short-and long-distance route,ATC chose to implement the congestion charging strategy,and passengers preferred the ARIT strategy.In addition,the final strategies were affected by any changes in key factors,and enterprises were more sensitive and likely to introduce the ARIT strategy out of individual interest.

孙博;徐泽惠;高涵

中国民航大学空中交通管理学院,天津 300300,中国中国民航大学空中交通管理学院,天津 300300,中国中国民航大学空中交通管理学院,天津 300300,中国

信息技术与安全科学

空铁联运空中交通管制乘客三方演化博弈模型

air-rail intermodal transport(ARIT)air traffic control(ATC)passengerstripartite evolutionary game model

《南京航空航天大学学报(英文版)》 2026 (2)

203-224,22

This work was supported in part by the Natural Science Foundation of Tianjin(No.20YJC-ZH176),and the National Natural Science Foundation of China(No.U2333206).

10.16356/j.1005-1120.2026.02.004

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