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复杂系统与复杂性科学  2023, Vol. 20 Issue (3): 60-67    DOI: 10.13306/j.1672-3813.2023.03.008
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基于多层复杂网络的RCEP国际航线网络特征分析
杨文东, 黄依宁, 张生润
南京航空航天大学民航学院,南京 211106
Characteristic Analysis of RCEP International Airline Network Based on Multi-layer Complex Network
YANG Wendong, HUANG Yining, ZHANG Shengrun
School of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China
全文: PDF(1764 KB)  
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摘要 “区域全面经济伙伴关系协定”(RCEP)的签署具有重大经济战略意义,为了给航空公司在RCEP协定范围内开拓航线提供参考,利用多层复杂网络的理论和方法建立基于航空公司层面的航线网络模型,多角度探究RCEP国际航线网络特征及各航空公司在航线网络中的贡献度。研究表明,RCEP国际航线网络是具有多个核心的无标度网络;全服务航空公司提高了RCEP国际航线网络各机场间的航空运输效率,低成本航空公司则是RCEP国际航线网络覆盖范围扩充的主力军。
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杨文东
黄依宁
张生润
关键词 航线网络多层复杂网络航空公司网络特征分析    
Abstract:The signing of the Regional Comprehensive Economic Partnership Agreement (RCEP) is of great economic strategic significance. To provide reference for airways to develop routes within the scope of RCEP agreement, this paper uses the theory and method of multi-layer complex network to establish an airline network model based on airways, explores the characteristics of RCEP international route network from multiple angles and the contribution of each airways in the airline network. The results show that RCEP international airline network is a scale-free network with multiple cores. All-service airways have improved the air transport efficiency among airports in RCEP international airline network, while low-cost airways are the main force in expanding the coverage of RCEP international airline network.
Key wordsairline network    multi-layer complex network    airways    network characteristic analysis
收稿日期: 2021-11-08      出版日期: 2023-10-08
ZTFLH:  U8  
基金资助:国家自然科学基金(41701120)
通讯作者: 黄依宁(1997),女,江苏无锡人,硕士研究生,主要研究方向为交通运输规划与管理,复杂网络等。   
作者简介: 杨文东(1975),男,山东寿光人,博士,副教授,主要研究方向为交通运输规划与管理。
引用本文:   
杨文东, 黄依宁, 张生润. 基于多层复杂网络的RCEP国际航线网络特征分析[J]. 复杂系统与复杂性科学, 2023, 20(3): 60-67.
YANG Wendong, HUANG Yining, ZHANG Shengrun. Characteristic Analysis of RCEP International Airline Network Based on Multi-layer Complex Network. Complex Systems and Complexity Science, 2023, 20(3): 60-67.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2023.03.008      或      https://fzkx.qdu.edu.cn/CN/Y2023/V20/I3/60
[1] AISLING R. Characterisation of airline networks: a north American and European comparison[J]. Journal of Air Transport Management, 2010, 16(3): 109120.
[2] DAI L, DERUDDER B, LIU X J. The evolving structure of the Southeast Asian air transport network throughthe lens of complex networks, 19792012[J]. Journal of Transport Geography, 2018, 68: 6777.
[3] 戚莹,姚红光,高佩. “一带一路”沿线国家航空网络和贸易网络结构研究[J]. 智能计算机与应用, 2020, 10(2):225227,231.
QI Y, YAO H G, GAO P. Research on the network structure of aviation and trade in countries along “the belt and road” [J]. Intelligent Computer and Applications, 2020, 10(2): 225227,231.
[4] ZHANG S, DERUDDER B, WITLOX F. Dynamics in the European air transport network, 20039: an explanatory framework drawing on stochastic actor-based modeling[J]. Netw Spat Econ, 2016,16: 643663.
[5] 杜方叶,王姣娥,谢家昊,等.“一带一路”背景下中国国际航空网络的空间格局及演变[J].地理科学进展,2019,38(7): 963972.
DU F Y, WANG J E, XIE J H, et al. Spatial pattern and change of China′s international air transport network since the belt and road initiative [J]. Progress in Geography, 2019, 38(7): 963972.
[6] ERNESTO E, JESUS G. Network bipartivity and the transportation efficiency of European passenger airlines[J]. Physica D: Nonlinear Phenomena, 2016, 323/324: 5763.
[7] MIN G, GI T. Analysis of the air transport network characteristics of major airports[J]. The Asian Journal of Shipping and Logistics, 2017, 33(3):117125.
[8] 王兴隆,朱丽纳,李俊桥. 基于复杂网络的航空公司航线网络特征分析[C] //2019世界交通运输大会论文集(上).北京, 2019:15641572.
WANG X L, ZHU L N, LI J Q. Analysis of airline route network characteristics based on complex network[C] //Papers of 2019 World Transport Convention(I). Beijing, 2019:15641572.
[9] 徐开俊,吴佳益,杨泳,等.中国航线网络结构的多层性分析[J]. 复杂系统与复杂性科学, 2020,17(2): 3946.
XU K J, WU J Y, YANG Y, et al. Multilayered analysis of Chinese airline network structure[J]. Complex Systems and Complexity Science, 2020, 17(2): 3946.
[10] BOCCALETTI S, BIANCONI G, CRIADO R, et al. The structure and dynamics of multilayer networks[J]. Physics Reports, 2014,544(1): 1122.
[11] VERMA T, ARAU′JO N A M, HERRMANN H J. Revealing the structure of the world airline network[J]. Scientific Reports, 2014(4): 5638.
[12] 吴宗柠,狄增如,樊瑛.多层网络的结构与功能研究进展[J]. 电子科技大学学报, 2021, 50(1):106120.
WUZ N, DI Z R, FAN Y. The structure and function of multilayer networks:progress and prospects[J]. Journal of University of Electronic Science and Technology of China, 2021, 50(1):106120.
[13] MUSMECI N, NICOSIA V, ASTE T, et al. The multiplex dependency structure of financial markets[DB/OL].[20210508].https://dl.acm.org/doi/abs/10.1155/2017/9586064.
[14] RAHMEDE C, IACOVACCI J, ARENAS A, et al. Centralities of nodes and influences of layers in large multiplex networks[J]. Journal of Complex Networks, 2017, 6(5): 733752.
[15] 陈骁. 多层网络中关键网络层提取与挖掘[D]. 杭州:浙江大学, 2020.
CHEN X. Extraction and mining of key layers in multi-layer network[D]. Hangzhou: Zhejiang University, 2020.
[1] 徐开俊, 吴佳益, 杨泳, 梁磊. 中国航线网络结构的多层性分析[J]. 复杂系统与复杂性科学, 2020, 17(2): 39-46.
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