Abstract：In order to analyze the competitive pattern and factors influencing the competitive advantage of China's major domestic passenger airlines during the epidemic period, we use the TOPSIS-Entropy method and a modified Huff model to quantify the competitive advantage strength of airlines on routes, construct a weighted bipartite network of airlines-routes empowerment based on advantage strength, and study the market segmentation of airlines' competitive advantage and its static characteristics from the perspective of network. The Tobit regression model is used to analyze the factors influencing competitive advantage. The study shows that during the epidemic period, the airlines have a low degree of multi-market exposure, and the three major airlines have obvious competitive advantages, which vary greatly in city distribution and are mainly concentrated in their base cities; HU, 3U and other airlines have less obvious advantages in market competition and are more competitive and mainly around the second-tier coastal cities. The competitive advantage of airlines is constrained by a combination of factors, and the revenue during the epidemic period is more indicative of the ability to control cost.
汪瑜, 雷迪, 于娇娇, 温国兵. 网络视角下航空公司竞争态势及影响因素研究[J]. 复杂系统与复杂性科学, 2024, 21(1): 66-73.
WANG Yu, LEI Di, YU Jiaojiao, WEN Guobing. On the Competitive Situation of Airlines and the Influencing Factors from the Perspective of Network[J]. Complex Systems and Complexity Science, 2024, 21(1): 66-73.
[1] 陆锋,萧世伦,陈洁,等.中国民航客运(国内)空间格局与竞争态势分析[J].地球信息科学,2005,4(4): 43-49. LU F,XIAO S L,CHEN J, et al. Analysis of the spatial pattern and competitive situation of Chinese civil aviation passenger transportation (domestic)[J]. Earth Information Science,2005,4(4): 43-49. [2] 李菲. 我国民航运输产业组织研究[D].陕西:长安大学,2005. LI F. Study on the Organization of Civil Aviation Transportation Industry in China [D].Shaanxi:Chang'an University,2005. [3] DENNIS N, PJTFIELD D. A tale of two cities:the impact of airline mergers and consolidation at London and New York[J].Transportation Research Record,2018,2672(23):1-7. [4] 胡进.“一带一路”沿线市场大陆航空公司新竞争态势研究[J].空运商务,2016(5):11-15. HU J.Research on the new competitive situation of mainland airlines in the marketalong the "belt and road"[J].Air Transport Business,2016(5):11-15. [5] 杨建梅,陆履平,谢王丹.广州软件企业竞争关系的复杂网络分析[C].第二届全国复杂动态网络学术论坛.北京:中国高等科学技术中心,2005:630-632. YANG J M,LU L P,XIE W D. Complex network analysis of competitive relationships of software enterprises in Guangzhou[C].Proceedings of the Second National Academic Forum on Complex Dynamic Networks. Beijing: China Center of Advanced Science and Technology, 2005:630-632. [6] 冯建勇.基于复杂网络的中国M航空公司竞争策略研究[D].广东:华南理工大学,2009. FENG J Y. Research on the competitive strategy of Chinese M airlines based on complex networks[D].Guangdong:South China University of Technology, 2009. [7] SVEN M. A metric to assess the competitive position of airlines and airline groups in the intra-European air transport market[J].Research in Transportation Economics,2018,4(5):65-73. [8] 安静.基于复杂网络的中国矿业上市公司竞争与合作关系研究[D].北京:中国地质大学,2014. AN J. A study on the competitive and cooperative relationship of Chinese mining listed companies based on complex networks[D].Beijing:China University of Geosciences,2014. [9] 于剑, 朱迪, 陈俣秀, 等. 基于熵值TOPSIS模型的网络枢纽型航空公司竞争力评价[J].生产力研究,2021,35(9):67-73. YU J, ZHU D, CHEN Y X, et al.Competitiveness evaluation of network hub-based airlines based on entropy TOPSIS model[J].Productivity Research,2021,35(9):67-73. [10] 孙新宪,孙莉云.国内外航空公司竞争力综合评价研究[J].综合运输,2016,38(4):34-38. SUN X X,SUN L Y. Acomprehensive evaluation study on the competitiveness of domestic and foreign airlines[J].Comprehensive Transportation,2016,38(4):34-38. [11] WU C, ZHANG X Y, YEH I C,et al.Evaluating competitiveness using fuzzy analytic hierarchy process—a case study of Chinese airlines[J].Journal of Advanced Transportation,2013,47(7):619-634. [12] DELBARI S A, NG S I, AZIZ Y A,et al.An investigation of key competitiveness indicators and drivers of full-service airlines using Delphi and AHP techniques[J].Journal of Air Transport Management,2016,52(3):23-34. [13] 田利军,谢箷.基于因子分析法的航空公司核心竞争力评价[J].财会月刊,2013,42(18):72-75. TIAN L J, XIE S. Evaluation of airline core competitiveness based on factor analysis[J]. Finance and Accounting Monthly,2013,42(18):72-75. [14] 黄凌波.粤港澳大湾区港口竞合关系研究[D].广东:华南理工大学,2020. HUANG L B. Study on the competitive relationship of ports in Guangdong-Hong Kong-Macao Greater Bay Area [D].Guangdong:South China University of Technology,2020. [15] HAN J Y,LI Y H.Modification of huff model and its application in county market a case of pharmacy siting in Huang hua City,Hebei Province[C]∥International Conference on Services Science,Chongqing,China:IEEE,2016:63-67. [16] NEWMAN M J. Fast algorithm for detecting community structure in networks[J].Physical Review E,2004 ,69(6):1-5. [17] BECKETT S J. Improved community detection in weighted bipartite networks[J].Royal Society Open Science,2016,3 (1):140536. [18] LAASSEM B, IDARROU A, BOUJLALEB L, et al. Label propagation algorithm for community detection based on Coulomb's law[J].Physical A:Statistical Mechanics and Its Applications,2022,593(9):1-5. [19] YANG H L, ZHANG Y, ZHANG J, et al. Event-based community detection in micro-blog networks[J]. International Journal of Perform Ability Engineering,2021,17(1):60-73. [20] ZHANG Y, LIU Y G, LI Q Q, et al. LILPA: a label importance based label propagation algorithm for community detection with application to core drug discovery[J].Neuro Computing,2020,413(6):107-133. [21] 李辉婕,柯今朝,朱玲娟,等.江西省种粮大户应对气象灾害适应性行为经济绩效研究——基于DEA-Tobit模型[J].生物灾害科学,2022,45(1):95-102. LI H J, KE J Z, ZHU L J, et al.Study on the economic performance of adaptive behavior of large grain farmers in Jiangxi Province in response to meteorological disasters—based on DEA-Tobit model[J].Biohazard Science,2022,45(1):95-102.
