基于双层博弈模型的机场间航线网络协同演化研究

doi:10.16097/j.cnki.1009-6744.2023.04.024

交通运输系统工程与信息 ›› 2023, Vol. 23 ›› Issue (4): 237-250.DOI: 10.16097/j.cnki.1009-6744.2023.04.024

基于双层博弈模型的机场间航线网络协同演化研究

吴维^*1,2，林芷伊²，陈旭梅¹

1. 北京交通大学，交通运输学院，北京 100044；2. 中国民航大学，空中交通管理学院，天津 300300

收稿日期:2023-03-16 修回日期:2023-05-15 接受日期:2023-05-22 出版日期:2023-08-25 发布日期:2023-08-22
作者简介:吴维(1982- )，男，河北承德人，讲师，博士生
基金资助:
天津市教委社科重大项目(2021JWZD38)；天津市应用基础多元投入基金面上项目(21JCYBJC00700)；中央高校基本科研业务费中国民航大学专项(3122013D023)

Collaborative Evolution of Inter-airport Route Based on Two-level Game Model

WU Wei^*1,2, LIN Zhi-yi², CHEN Xu-mei¹

1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China; 2. College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China

Received:2023-03-16 Revised:2023-05-15 Accepted:2023-05-22 Online:2023-08-25 Published:2023-08-22
Supported by:
Major Social Science Projects of Tianjin Municipal Commission of Education (2021JWZD38)； General Program of Tianjin Science and Technology Plan (21JCYBJC00700)；Fundamental Research Funds for the Central Universities (3122013D023)

摘要/Abstract

摘要： 为有效优化机场间航线网络，实现机场群中各机场功能定位，通过研究机场补贴策略与航空公司航线调整关系，旨在实现机场补贴策略与所需航线网络间的最佳匹配。从机场功能协同发展视角分析旅客、航空公司及机场间的博弈关系并构建双层博弈模型。在上层博弈模型中，引入经验加权吸引力模型(EWA)分析航空公司定价策略与旅客“渗流”关系，以便确定航空公司最佳定价策略。在下层博弈模型中，使用上层模型结果并引入非对称的随机反应(QRE)均衡模型，分析机场补贴与航空公司航线调整的关系，确定机场最佳补贴策略。结果表明：影响机场群内旅客出行行为选择关键因素是出行成本，该成本使航空公司票价折扣效果存在高敏感区、惰性区和无效区，通过完善机场群内地面交通，控制旅客出行成本，可有效引导机场群间旅客流动；航空公司定价与旅客出行选择博弈的收益存在多个峰值点，需根据旅客出行成本和初始票价确定票价折扣，最佳折扣区间集中在0.4～0.9；采用补贴优化航线网络，机场间不同补贴策略效能存在垄断区间、低效区间和最佳协同区间；融合旅客出行选择和机场间协同补贴的双重因素可有效提升航空公司盈利能力，推动航空公司提升机场群中航线的互补性，有效实现机场间协同发展。

关键词: 航空运输, 补贴策略, 演化博弈, 航线网络, 机场群

Abstract: To effectively optimize the inter-airport route network and realize the proper functions of each airport in the airport system, this study aims to achieve the optimal match between airport subsidy policies and the required route network by investigating the relationship between airport subsidy policies and airline route adjustments. The game relationship among passengers, airlines, and airports is analyzed from the perspective of coordinated development of airport and a two-layer game model is developed. In the upper level of the model, an experience-weighted attraction model (EWA) is introduced to analyze the relationship between airline pricing strategies and passenger "escape" to determine the optimal pricing strategy for airlines. In the lower level of the model, the upper model results are used, and an asymmetric random response (QRE) equilibrium model is introduced to analyze the relationship between airport subsidies and airline route adjustments, and to determine the optimal subsidy policy for airports. The results show that: (1) The key factor that affect passengers travel behavior choices of is travel cost, which results in the effect of ticket price discounts exists a high sensitivity zone, an inert zone, and an ineffective zone. By improving ground transportation within airport clusters and controlling travel costs for passengers, it is possible to effectively guide passenger flows between airport clusters. (2) There are multiple peaks in the profits of the game between airlines and passengers, and the optimal discount interval is concentrated between 0.4 and 0.9, depending on the travel costs of passengers and the initial ticket prices. (3) Optimizing the airline network by providing subsidies within airport clusters leads to different efficiency levels of subsidy strategies between airports, including monopolistic, inefficient, and optimal collaborative intervals. (4) Integrating the dual factors of passenger travel choices and inter-airport collaborative subsidies can effectively enhance the profitability of airlines, promote the complementarity of airline routes within airport clusters, and effectively achieve coordinated development between airports.

Key words: air transportation, subsidy strategy, evolutionary game, route network, airport cluster

中图分类号:

吴维, 林芷伊, 陈旭梅. 基于双层博弈模型的机场间航线网络协同演化研究[J]. 交通运输系统工程与信息, 2023, 23(4): 237-250.

WU Wei, LIN Zhi-yi, CHEN Xu-mei. Collaborative Evolution of Inter-airport Route Based on Two-level Game Model[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(4): 237-250.

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http://www.tseit.org.cn/CN/Y2023/V23/I4/237

参考文献

[1] MIN S, WEI X L, LIU Y Y, et al. Sustainability development of high-speed rail and airline�understanding passengers' preferences: A case study of the Beijing-Shanghai corridor[J]. Sustainability, 2019, 11: 1352.

[2] YUSUKE T, YU M. Price competition of airports and its effect on the airline network[J]. Economics of Transportation, 2014, 3: 45-57.

[3] DOBRUSZKES F, GIVONI M, VOWLES T. Hello major airports, goodbye regional airports? Recent changes in European and US low-cost airline airport choice[J]. Journal of Air Transport Management, 2017, 59: 50-62.

[4] 胡荣, 李东亚, 江超, 等. 基于多航线产品的航空公司市场价格竞争研究[J]. 工业工程, 2016, 19(4): 1-7. [HU R, LI D Y, JIANG C, et al. A research on airlines' price competition in multi-route market[J]. Industrial Engineering Journal, 2016, 19(4): 1-7.]

[5] 王德龙, 王超峰. 基于蓄意攻击下的民用机场网络级联失效抗毁性分析[J]. 交通运输工程与信息学报, 2020, 18(3): 172-178. [WANG D L, WANG C F. Analysis of cascading failure and resistance of network in civil airports based on deliberate attacks[J]. Journal of Transportation Engineering and Information, 2020, 18 (3): 172-178.]

[6] 骆嘉琪, 匡海波, 冯涛, 等. 基于两阶段博弈模型的高铁民航竞合关系研究[J]. 系统工程理论与实践, 2019, 39(1): 150-164. [LUO J Q, KUANG H B, FENG T. Research on the co-opetition between high speed rail and civil aviation based on two stage game model[J]. Systems Engineering-Theory & Practice, 2019, 39(1): 150-164.]

[7] 吴慎之, 王子明, 杭旭, 等. 机场群航班时刻表优化方案研究[J]. 交通运输工程与信息学报, 2022, 20 (4): 136-146. [WU S Z, WANG Z M, HANG X, et al. Research on flight schedule optimization scheme of airport group[J]. Journal of Traffic and Transportation Engineering and Information Technology, 2022, 20(4): 136-146.]

[8] LIAO W, CAO X, LI S. Competition and sustainability development of a multi-airport region: A case study of the Guangdong-Hong Kong-Macao greater bay area[J]. Sustainability, 2019, 11: 1-21.

[9] 卞骞, 宋丽英, 毛保华, 等. 基于市场进入博弈的高速铁路与航空竞争分析[J]. 交通运输系统工程与信息, 2019, 19(5): 20-27. [BIAN Q, SONG L Y, MAO B H, et al. High speed rail and air transport competition: A market-entry game approach[J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(5): 20-27.]

[10] YANG C W, LU J L, HSU C Y. Modeling joint airport and route choice behavior for international and metropolitan airports[J]. Journal of Air Transport Management, 2014, 39: 89-95.

[11] NOBUAKI M, RISAKO M. Designing the commercial sustainability of unprofitable regional airports using system dynamics analysis[J]. Research in Transportation Business & Management, 2011, 1: 80-90.

[12] HOU M, WANG K, YANG H. Hub airport slot Re-allocation and subsidy policy to speed up air traffic recovery amid COVID-19 pandemic: Case on the Chinese airline market[J]. Journal of Air Transport Management, 2021, 93(2): 102047.

[13] 陈欣, 张珍, 邱瑞, 等. 基于动态博弈的补贴模式对机场群航线网络结构的影响研究[J]. 四川大学学报(自然科学版), 2022, 59(5): 201-207. [CHEN X, ZHANG Z, QIU R. Research on the impact of subsidization on the airline networks of multi-airport systems based on dynamic game theory[J]. Journal of Sichuan University (Natural Science), 2022, 59(5): 201-207.]

[14] 田丽君, 江晓岚, 刘天亮, 等. 基于Dogit模型考虑路径偏好的日常出行行为研究[J]. 交通运输系统工程与信息, 2016, 16(6): 228-235. [TIAN L J, JIANG X L, LIU T L, et al. Day-to-day route choice behavior considering route preference in a Dogit model[J]. Journal of Transportation Systems Engineering and Information Technology, 2016, 16(6): 228-235.]

[15] 孙超. 基于价值链的A航空公司成本管理研究[D]. 太原: 太原理工大学, 2021. [SUN C. Research on cost management of airlines a based on value Chain[D]. Taiyuan: Taiyuan University of Technology, 2021.]

基于双层博弈模型的机场间航线网络协同演化研究

Collaborative Evolution of Inter-airport Route Based on Two-level Game Model

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