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[1]王兴隆,尹昊.基于可达性的多层动态航空网络鲁棒性分析*[J].中国安全生产科学技术,2024,20(1):18-24.[doi:10.11731/j.issn.1673-193x.2024.01.003]
　WANG Xinglong,YIN Hao.Robustness analysis of multi-layer dynamic aviation network based on accessibility[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2024,20(1):18-24.[doi:10.11731/j.issn.1673-193x.2024.01.003]
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基于可达性的多层动态航空网络鲁棒性分析*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
20
期数:
2024年1期
页码:
18-24
栏目:
学术论著
出版日期:
2024-01-31

文章信息/Info

Title:
Robustness analysis of multi-layer dynamic aviation network based on accessibility
文章编号:
1673-193X(2024)-01-0018-07
作者:
王兴隆; 尹昊
（中国民航大学 民航飞联网重点实验室，天津 300300）
Author(s):
WANG Xinglong;  YIN Hao
(Key Laboratory of Internet of Aircrafts,Civil Aviation University of China,Tianjin 300300,China)
关键词:
航空网络; 多层动态网络; 可达性; 鲁棒性
Keywords:
aviation network;  multi-layer dynamic network;  accessibility;  robustness
分类号:
X949
DOI:
10.11731/j.issn.1673-193x.2024.01.003
文献标志码:
A
摘要:
为更准确地描述航空网络以分析其鲁棒性，提出1种以同一始发机场及其离场航班为子网络层，随出发时刻动态变化的多层动态航空网络模型。针对我国国内（不含港澳台）多层动态航空网络，以可达性、度中心性和加权介数中心性为节点特征指标，网络效率为网络性能测度指标，从随机攻击和蓄意攻击2种策略下对网络进行鲁棒性分析。研究结果表明：我国国内（不含港澳台）航空网络的鲁棒性主要由20%的机场提供，且在不同时间段内鲁棒性不同，在2023年夏秋航季，7∶00~20∶00间鲁棒性较好，4∶00~7∶00和20∶00~24∶00鲁棒性较差；用可达性指标衡量航空网络中机场节点的重要程度比度中心性和加权介数中心性指标更准确。研究结果可为保障航空运输网络安全提供一定参考。
Abstract:
In order to more accurately describe the aviation network and analyze its robustness,a multi-layer dynamic aviation network model was proposed,which used the same origin airport and its departure flights as sub network layers and dynamically changed with departure time.For the multi-layer dynamic aviation network in China (excluding Hong Kong,Macao,and Taiwan),the accessibility,degree centrality and weighted intermediate centrality were taken as the node characteristic indexes,and the network efficiency was taken as the network performance measurement index,then the robustness of the network was analyzed from the two strategies of random attack and deliberate attack.The results show that the robustness of the aviation network in domestic (excluding Hong Kong,Macao,and Taiwan) is mainly provided by 20% of the airports,and the robustness is different in different time periods.During the 2023 summer and autumn shipping season,the robustness is good from 7∶00 to 20∶00,and poor from 4∶00 to 7∶00 and 20∶00~24∶00.The accessibility index is more accurate than the degree centrality and weighted intermediate centrality index in measuring the importance of airport nodes in the aviation network.The results have reference significance for ensuring the safety of aviation transportation network.

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备注/Memo

备注/Memo:
收稿日期： 2023-05-22
* 基金项目： 国家自然科学基金项目（62173332，U2133207）；天津多元基金项目(21JCYBJCO0700);中央高校基本科研业务费项目(3122020052)
作者简介： 王兴隆，硕士，研究员，主要研究方向为飞行区活动态势精确感知与风险识别。
通信作者： 尹昊，硕士研究生，主要研究方向为航空运输网络建模与分析。
更新日期/Last Update: 2024-02-19