机场群空间异质性的多尺度实证分析

doi:10.16097/j.cnki.1009-6744.2026.03.010

交通运输系统工程与信息 ›› 2026, Vol. 26 ›› Issue (3): 103-113.DOI: 10.16097/j.cnki.1009-6744.2026.03.010

机场群空间异质性的多尺度实证分析

任广建^* ，李艳华，王越超

北京交通大学，交通运输学院，北京100044

收稿日期:2025-12-29 修回日期:2026-04-04 接受日期:2026-04-16 出版日期:2026-06-25 发布日期:2026-06-22
作者简介:任广建（1988—），男，山东济宁人，讲师，博士。
基金资助:
中央高校基本科研业务费专项资金(2025JBWZDC002)；国家自然科学基金“联合基金项目” (U2333206)。

Multi-scale Empirical Analysis of Spatial Heterogeneity in Airport Clusters

REN Guangjian^*,LI Yanhua, WANG Yuechao

School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China

Received:2025-12-29 Revised:2026-04-04 Accepted:2026-04-16 Online:2026-06-25 Published:2026-06-22
Supported by:
Fundamental Research Funds for the Central Universities(2025JBWZDC002)；Joint Funds of the National Natural Science Foundation of China (U2333206)。

摘要/Abstract

摘要： 为揭示机场群空间演化的差异化特征与内在驱动机制，推动机场群协同发展，优化航空网络布局，本文以京津冀和成渝两大机场群为研究对象，围绕胡焕庸线东西两侧航空资源分布特征，从多尺度视角系统分析其空间异质性。通过构建覆盖能力指数、覆盖异质性指数、空间影响力模型、空间影响力异质性指数、航线重叠系数和航线异质性指数等量化指标，综合对比不同辐射半径下两大机场群的连通结构、服务覆盖和网络差异。研究发现：1500km辐射半径是机场群覆盖能力与空间异质性变化的转折阈值；两大机场群均呈现“东强西弱”的共性特征，且成渝机场群的东西差距更为显著；京津冀与成渝机场群东侧综合影响力占比分别为77.73%与93.55%，凸显区域航空资源集聚程度的差异；重叠航线沿胡焕庸线集中分布，西北侧航线结构异质性高而密度低，东南侧则呈现“高密度、低差异”的结构特征；权重系数灵敏度分析表明，模型结果具有较好的稳定性和可靠性。研究揭示我国机场群空间格局与区域经济发展之间的耦合机制，为优化航空资源配置，推动机场群协同和东西部均衡发展提供了理论依据和决策参考。

关键词: 航空运输, 机场群异质性, 覆盖能力指数, 胡焕庸线, 航线重叠系数

Abstract: To reveal the differential characteristics and intrinsic driving mechanisms of the spatial evolution of airport clusters, promote their coordinated development, and optimize air network layout, this study takes the Beijing-Tianjin-Hebei (BTH) and Chengdu-Chongqing (CCQ) airport clusters as research objects. Focusing on the distribution characteristics of aviation resources on both sides of the Hu Huanyong Line, it systematically analyzes the spatial heterogeneity from a multi-scale perspective. By constructing the quantitative indicators including coverage capacity index, coverage heterogeneity index, spatial influence model, spatial influence heterogeneity index, route overlap coefficient, and route heterogeneity index, the study comprehensively compares the connectivity structure, service coverage, and network differences of the two airport clusters under different radiation radii. The results show that: (1) the 1 500 kilometers radiation radius is a turning threshold for changes in coverage capacity and spatial heterogeneity of airport clusters; (2) both of two airport clusters exhibit a common feature of "stronger in the east and weaker in the west", and the east-west gap is more significant in the CCQ. (3) the comprehensive influence proportions of the eastern sides of the BTH and CCQ are 77.73% and 93.55% respectively, which highlights differences in the agglomeration degree of regional aviation resources; (4) overlapping routes are concentrated along the Hu Huanyong Line, with high structural heterogeneity but low density on the northwest side, and "high density and low difference" on the southeast side; (5) the sensitivity analysis of weight coefficients indicates that the model results have good stability and reliability. This study reveals the coupling mechanism between the spatial pattern of Chinese airport clusters and regional economic development, providing the theoretical basis and decision-making reference for optimizing aviation resource allocation, promoting airport group coordination, and balancing the development between the east and west.

Key words: air transportation, airport cluster heterogeneity, coverage capacity index, Hu Huanyong line, route overlap coefficient

中图分类号:

任广建, 李艳华, 王越超. 机场群空间异质性的多尺度实证分析[J]. 交通运输系统工程与信息, 2026, 26(3): 103-113.

REN Guangjian, LI Yanhua, WANG Yuechao. Multi-scale Empirical Analysis of Spatial Heterogeneity in Airport Clusters[J]. Journal of Transportation Systems Engineering and Information Technology, 2026, 26(3): 103-113.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.tseit.org.cn/CN/10.16097/j.cnki.1009-6744.2026.03.010

http://www.tseit.org.cn/CN/Y2026/V26/I3/103

参考文献

[1]DU WB, ZHOU X L, LORDAN O, et al. Analysis of the Chinese airline network as multi-layer networks[J]. Transportation Research Part E: Logistics and Transportation Review, 2016, 89: 108-116.

[2]CHEUNG TKY, WONG CWH, ZHANG A. The evolution of aviation network: Global airport connectivity index 2006-2016[J]. Transportation Research Part E: Logistics and Transportation Review, 2020, 133: 101826.

[3]ZHANG L, HOU M, LIU Y, et al. Measuring Beijing's international air connectivity and suggestions for improvement post COVID-19[J]. Transport Policy, 2022, 116: 132-143.

[4]CORDOBA HA. The evolution of Cuba's air transport network in the Embargo Era: 1967-2017[J]. Journal of Transport Geography, 2022, 98: 103259.

[5] 王中一,张恒才,王培晓,等.中国机场延误模式动态时空异质性分析[J]. 地理学报,2025, 80(2): 490-502. [WANG Z Y, ZHANG H C, WANG P X, et al. Analyzing dynamic spatiotemporal heterogeneity in Chinese airport delay patterns[J]. Acta Geographica Sinica, 2025, 80(2): 490-502.]

[6]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, 281. [WU W, LIN Z Y, CHEN X M. 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, 281.]

[7]LU M, PEREZ E J, MASON K, et al. Fractal assessment analysis of China's air-HSR network integration[J]. Journal of Transport Geography, 2024, 114: 103786.

[8]ZHOU Y, WANG J, HUANG G Q. Efficiency and robustness of weighted air transport networks[J]. Transportation Research Part E: Logistics and Transportation Review, 2019, 122: 14-26.

[9] BASPINAR B, GOPALAKRISHNAN K, KOYUNCU E, et al. An empirical study of the resilience of the US and European air transportation networks[J]. Journal of Air Transport Management, 2023, 106: 102303.

[10] WANDELT S, WANG S, CHEN X, et al. Network structures in air transportation: A comprehensive review of applications and challenges[J]. Journal of Air Transport Management, 2025, 126: 102794.

[11] BANSAL S, SEN J. Network assessment of Tier-II Indian cities' airports in terms of type, accessibility, and connectivity[J]. Transport Policy, 2022, 124: 221-232.

[12] CHEN S, DU W, LIU R, et al. Finding spatial and temporal features of delay propagation via multi-layer networks[J]. Physica A: Statistical Mechanics and its Applications, 2023, 614: 128526.

[13] 张蕾,孙伟,宋彦.世界级机场群航空网络时空演化特征与模式[J].地理学报, 2024,79(6): 1540-1555. [ZHANG L, SUN W, SONG Y. Spatio-temporal evolution of the aviation network structure of the world-class airports cluster: Taking the Northeast Corridor of the United States as an example[J]. Acta Geographica Sinica, 2024, 79(6): 1540-1555.]

[14] 中国民用航空局.2024全国民航航班运行效率报告[R/ OL]. (2025-05-28) [2025-05-28]. https://www.caac.gov. cn/ XXGK/ XXGK/ ZFGW/ 202505/ t20250528_227622. html. [Civil Aviation Administration of China. 2024 National civil aviation flight operation efficiency report [R/OL]. (2025-05-28) [2025-05-28]. https://www.caac. gov.cn/ XXGK/ XXGK/ ZFGW/ 202505/ t20250528_ 227622. html.]

[1]	万莉莉, 徐舒梦, 黄嘉慧, 张庆阳, 袁振宇. 基于模糊最大覆盖模型的无人机应急配送中心选址研究[J]. 交通运输系统工程与信息, 2026, 26(3): 166-175.
[2]	胡小兵, 那容菲, 李航. 多机协同定检智能排班优化方法研究[J]. 交通运输系统工程与信息, 2026, 26(2): 148-158.
[3]	李艳华, 王越超, 任广建, 王涛, 祁嘉仪. 可持续航空燃料与机型和航线三维耦合优化方法[J]. 交通运输系统工程与信息, 2026, 26(2): 169-179.
[4]	张宝成, 谢亚辰. 考虑飞行机组编制规模的机组配对优化方法[J]. 交通运输系统工程与信息, 2026, 26(2): 289-299.
[5]	刘丹, 林杉杉, 郑宇婷. 中国上市航空公司产能效率及影响因素研究[J]. 交通运输系统工程与信息, 2025, 25(6): 13-22.
[6]	陈德启, 张自设, 张文会, 闫学东, 蒋贤才. 面向高层建筑应急救援的无人机螺旋搜索轨迹控制方法[J]. 交通运输系统工程与信息, 2025, 25(6): 87-100.
[7]	程明, 黄泓鸣. 天气对低空航线网络抗毁性影响分析[J]. 交通运输系统工程与信息, 2025, 25(6): 101-108.
[8]	孟令航, 张林海, 陈敏. 新闻事件驱动的洋区不明飞行活动架次预测[J]. 交通运输系统工程与信息, 2025, 25(6): 360-372.
[9]	刘钊瑄, 周哲旭, 方晶. 考虑风险异质传播的航空多阶段运行风险演化分析[J]. 交通运输系统工程与信息, 2025, 25(5): 302-311.
[10]	曾培彬, 巫威眺, 柯炜鹏, 王发. 考虑航空地服人员满意度的混合技能派工优化模型[J]. 交通运输系统工程与信息, 2025, 25(5): 312-319.
[11]	田利军, 陈学功, 王琦, 徐馨喆, 王雅婷, 屈茜茜. 中国民航可持续航空燃油减排潜力及多路径协同研究[J]. 交通运输系统工程与信息, 2025, 25(5): 365-374.
[12]	张荣, 张茜, 史文萱, 靖晴. 基于呼吸参数的模拟管制工作负荷预测模型研究[J]. 交通运输系统工程与信息, 2025, 25(4): 317-325.
[13]	杜婧涵, 李佳祥, 程擎, 朱新平, 尹嘉男, 张魏宁. 融合经济性与鲁棒性的多目标停机位动态分配方法[J]. 交通运输系统工程与信息, 2025, 25(4): 326-336.
[14]	马剑, 何欢, 王巧, 廖伟屹, 陈俊, 施冬冬, 邱云飞. 窄体客机慢速优先登机策略建模与分析[J]. 交通运输系统工程与信息, 2025, 25(3): 308-320.
[15]	陈振坤, 陈可嘉. 自主取消航班下进离场时隙二次分配的双目标优化[J]. 交通运输系统工程与信息, 2025, 25(3): 321-334.

机场群空间异质性的多尺度实证分析

Multi-scale Empirical Analysis of Spatial Heterogeneity in Airport Clusters

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics