热带地理 ›› 2018, Vol. 38 ›› Issue (5): 599-605.doi: 10.13284/j.cnki.rddl.003073

• 论文 •    下一篇

中国枢纽机场网络体系演变格局

莫辉辉1,王姣娥2,3,黄 洁2   

  1. (1.中国民航科学技术研究院,北京 100028;2.中国科学院地理科学与资源研究所 区域可持续发展分析与模拟重点实验室,北京 100101; 3.中国科学院大学 资源与环境学院,北京 100049)
  • 出版日期:2018-09-05 发布日期:2018-09-05
  • 作者简介:莫辉辉(1979―),男,湖南衡南县人,副研究员,博士,主要研究方向为民航发展规划,交通地理与区域发展,(E-mail)huihuimo@163.com。
  • 基金资助:

    国家自然科学基金(41722103)

Evolutionary Configuration of Hub Airport Network in China: A k-Core Network Model Experience

MO Huihui1,WANG Jiao’e2,3,HUANG Jie2   

  1. (1.China Academy of Civil Aviation Science and Technology,Beijing 100028,China;2.Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;3.College of Resources and Environment, University of Chinese Academy of Sciences,Beijing 100049,China)
  • Online:2018-09-05 Published:2018-09-05

摘要:

枢纽机场是机场网络体系的核心要素。文章首次提出利用网络模型k-核概念定义枢纽机场网络体系,并对中国1990―2015年的枢纽机场网络体系的演变过程进行量化分析。研究表明:中国航空网络k-核极大值呈增大趋势,尽管加入枢纽机场的阈值增大,但其数量仍呈稳步增加趋势,由1990年的26个增加到2015年的36个。枢纽机场网络连接率由1990年的7.1增长到2015年15.4,网络演变具有异速增长特征,同时较低的平均路径长度值显示网络具有十分高的组织效率。枢纽机场体系的客货吞吐量集中程度较高,近10年来市场集中度呈下降趋势,但2015年枢纽机场的客货吞吐量市场占比仍分别高达86.7%和95.1%。文章甄别的枢纽机场体系在较大程度上揭示了“规模优先”与“区域均衡”规划模式,能为枢纽机场的发展规划提供决策支撑。

关键词: 枢纽机场, 网络体系, k-核, 组织效率, 航空运输

Abstract:

Hub airport play a critical role in air transportation network, because they are responsible for delivering passengers and cargos from a spoke to another spoke airport as well as network efficiency.Moreover, they are regarded as the major part of transport infrastructure in regional planning, as they support socio-economic development. This paper proposes a k-Core network model to describe the hub airport network system so that we can quantify the evolutionary configuration of hub airport network in China from 1990 to 2015.We find that the maximum k-core tends to increase further and the threshold of hub airports enlarged. The numbers of hub airport went up from 26 to 36 in China in the period studied, while that in European and American aviation network remained.Two variations have been captured in structural characteristics. First, the connectivity ratio grew from 7.1 to 15.4,which indicates an allometric growth. Second, the average path length decreased from 1.32 to 1.12, which indicates that the network presented a small-world phenomenon with high network efficiency. The passenger volume and cargo throughput are highly concentrated and delivered via hub airports.In 2015, 86.7 percent of passenger volume and 95.1 percent of cargo throughput were delivered via hub airports.But the high concentration tends to decline in recent 10 years. With hub airports delimitated by k-core model, this paper investigates air transportation network from an aspect of network structure rather than network scales or airport attributes. Therefore, this paper reveals planning strategies which embed ideas of scale preference and regional equilibrium.These findings may be useful for airport system planning.

Key words: hub airport, network system, k-core, organization efficiency, air transportation