|本期目录/Table of Contents|

[1]吕伟,刘钰阁,汪京辉.考虑班机流量和场站距离的效率加权航空网络研究*[J].中国安全生产科学技术,2023,19(11):29-33.[doi:10.11731/j.issn.1673-193x.2023.11.004]
　LYU Wei,LIU Yuge,WANG Jinghui.Study on efficiency weighting aviation network considering flight flow and terminal distance[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2023,19(11):29-33.[doi:10.11731/j.issn.1673-193x.2023.11.004]
点击复制

考虑班机流量和场站距离的效率加权航空网络研究*
分享到：

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
19
期数:
2023年11期
页码:
29-33
栏目:
学术论著
出版日期:
2023-11-30

文章信息/Info

Title:
Study on efficiency weighting aviation network considering flight flow and terminal distance
文章编号:
1673-193X(2023)-11-0029-05
作者:
吕伟; 刘钰阁; 汪京辉
（1.武汉理工大学 中国应急管理研究中心，湖北 武汉 430070；
2.武汉理工大学 安全科学与应急管理学院，湖北 武汉 430070）
Author(s):
LYU Wei;  LIU Yuge;  WANG Jinghui
(1.China Research Center for Emergency Management,Wuhan University of Technology,Wuhan Hubei 430070,China;
2.School of Safety Science and Emergency Management,Wuhan University of Technology,Wuhan Hubei 430070,China)
关键词:
航空安全; 复杂网络; 关键节点选择; 效率加权; 可靠性
Keywords:
aviation safety;  complex network;  critical node selection;  efficiency weighting;  reliability
分类号:
X949
DOI:
10.11731/j.issn.1673-193x.2023.11.004
文献标志码:
A
摘要:
为了分析中国航空网络在遭受外部攻击时的可靠性，以机场以及机场之间的交互关系为研究对象，以班机流量和场站距离作为权重指标，运用复杂网络的分析方法，构建中国航空加权网络。在航空网络关键节点选取方面，提出基于场站距离以及班机流量的综合效率分析法，对航空网络进行蓄意攻击和随机攻击，并基于2022年9月份的国内（不含港澳台）全部航班计划进行仿真。研究结果表明：中国航空网络呈现小世界性和无标度性；相比于度攻击，本文提出的基于效率指标的攻击方式对网络的破坏更强，网络的可靠性下降更快。研究结果对航空公司和机场在受到突发事件影响时采取相应改善策略，具有一定的参考意义。
Abstract:
In order to analyze the reliability of China aviation network under external attack,taking the airport and the interaction between airports as the research object,a China aviation weighted network was constructed by using the analysis method of complex network with the flight flow and terminal distance as the weight indexes.In term of the key node selection of aviation network,a comprehensive efficiency analysis method based on terminal distance and flight flow was proposed,then the deliberate attacks and random attacks were conducted on the aviation network,and the simulation was carried out based on the domestic (excluding Hong Kong,Macao and Taiwan) whole flight plan in September 2022.The results show that the China aviation network presents small world and scale-free characteristics.Compared with the degree attack,the attack mode based on the efficiency index proposed in this paper has stronger damage to the network,and the reliability of the network decreases faster.The research results have significant guiding significance for airlines and airports to take corresponding improvement strategies when affected by emergencies.

参考文献/References:

［1］中国民用航空局.2022年民航行业发展统计公报［EB/OL］.（2023-05-10）［2023-11-11］.http://www.caac.gov.cn/XXGK/XXGK/TJSJ/202305/P020230510495703901392.pdf.
［2］WILKINSON S M，DUNN S，MA S.The vulnerability of the European air traffic network to spatial hazards［J］.Natural Hazards，2012，60(3):1027-1036.
［3］于海宁,张宏莉,余翔湛.交通网络拓扑结构及特性研究综述［J］.华中科技大学学报(自然科学版),2012,40(增刊1):274-279. YU Haining,ZHANG Hongli,YU Xiangzhan,A Review of Traffic network topology and Characteristics［J］.Journal of Huazhong University of Science and Technology (Natural Science Edition),2012,40(Supplement 1):274-279.
［4］柴星思.基于复杂网络的中国航空网络鲁棒性评估［J］.北京测绘,2019,33(3):280-284. CHAI Xingsi.Robustness evaluation of Chinese air transport networks based on complex networks ［J］.Beijing Surveying and Mapping,2019,33(3):280-284.
［5］SUN X Q,VOLKER G,SEBASTIAN W.Robustness analysis metrics for worldwide airport network:a comprehensive study ［J］.Chinese Journal of Aeronautics,2017,30(2):500-512.
［6］KIM S,YOON Y.On node criticality of the Northeast Asian air route network ［J］.Journal of Air Transport Management,2019,80:101693.
［7］曾小舟,唐笑笑,江可申.基于复杂网络理论的中国航空网络抗毁性测度分析［J］.系统仿真技术,2012,8(2):111-116. ZENG Xiaozhou,TANG Xiaoxiao,JIANG Keshen.Measure of China airline networks invulnerability based on complex networks ［J］.System Simulation Technology,2012,8(2):111-116.
［8］KITSAK M,GALLOS L K,HAYLIN S,et al.Identification of influential spreaders in complex networks ［J］.Nature Physics,2010,6(11):888-893.
［9］ZHOU Y M,WANG J W,HUANG G Q.Efficiency and robustness of weighted air transport networks［J］.Transportation Research Part E:Logistics and Transportation Review,2019，122:14-26.
［10］FAN Ch J，ZENG L,SUN Y Zh,et al.Finding key players in complex networks through deep reinforcement learning ［J］.Nature Machine Intelligence,2020,2(6):317-324.
［11］朱云峰,王艳军,朱陈平.不同攻击模式下中国航路网络抗毁性研究［J］.南京工程学院学报(自然科学版),2018,16(2):51-56. ZHU Yunfeng,WANG Yanjun,ZHU Chenping.Research on the invulnerability of China's air route network under different attack strategies ［J］.Journal of Nanjing Institute of Technology (Natural Science Edition),2018,16(2):51-56.
［12］任新惠,杨丽.中国航空货运网络脆弱性分析［J］.安全与环境学报,2020,20(3):840-848. REN Xinhui,YANG Li.Vulnerability analysis of Chinaair cargo transportation network［J］.Journal of Safety and Environment,2020，20(3):840-848.
［13］梁琛.基于可达性的航路网抗毁性研究［D］.天津:中国民航大学,2019.
［14］王兴隆,潘维煌,赵末.空中交通相依网络的脆弱性研究［J］.航空学报,2018,39(12):274-283. WANG Xinglong,PAN Weihuang,ZHAO Mo.Vulnerability of air traffic interdependent network ［J］.Acta AeronauticaET Astronautica Sinica,2018,39(12):274-283.
［15］冯霞，贾宏璨.考虑节点失效和边失效的航空网络鲁棒性［J］.北京交通大学学报,2021,45(5):84-92. FENG Xia,JIA Hongcan.Aviation network robustness considering node failure and edge failure［J］.Journal of Beijing Jiaotong University,2021,45(5):84-92.
［16］王兴隆,尹昊.基于介度熵的机场飞行区关键冲突点识别［J］.中国安全生产科学技术,2022,18(9):236-242. WANG Xinglong,YIN Hao.Identification of key conflict points in airport airfield area based on betweenness and degree entropy［J］.Journal of Safety Science and Technology,2022,18(9):236-242.
［17］胡一竑.基于复杂网络的交通网络复杂性研究［D］.上海:复旦大学,2008.

相似文献/References:

[1]陈艳秋,史亚杰,张元.航空安全科技支撑体系建设的问题和对策[J].中国安全生产科学技术,2010,6(3):152.
　CHEN Yan-qiu,SHI Ya-jie,ZHANG Yuan.Problems and countermeasures on the construction of science and technology supporting system of civil Aviation safety in China[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2010,6(11):152.
[2]宋程成,孙瑞山,刘俊杰.自愿报告信息分析模型（CRIAM）研究[J].中国安全生产科学技术,2013,9(9):43.[doi:10.11731/j.issn.1673-193x.2013.09.008]
　SONG Cheng cheng,SUN Rui shan,LIU Jun jie.Research on confidential report information analysis model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2013,9(11):43.[doi:10.11731/j.issn.1673-193x.2013.09.008]
[3]康瑞,杨凯.考虑等待位置的航空器交叉滑行冲突概率模型[J].中国安全生产科学技术,2019,15(8):64.[doi:10.11731/j.issn.1673-193x.2019.08.010]
　KANG Rui,YANG Kai.Model on conflict probability of aircraft crosstaxiing considering holding position[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(11):64.[doi:10.11731/j.issn.1673-193x.2019.08.010]
[4]冉连月,吴贤国,刘洋,等.武汉市轨道交通线网应急救援站选址研究[J].中国安全生产科学技术,2018,14(4):63.[doi:10.11731/j.issn.1673-193x.2018.04.010]
　RAN Lianyue,WU Xianguo,LIU Yang,et al.Study on site selection of emergency rescue stations in Wuhan rail transit network[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2018,14(11):63.[doi:10.11731/j.issn.1673-193x.2018.04.010]
[5]宋英华,张小莹,吕伟.城镇-森林交界域火灾灾害链网络模型构建及风险分析[J].中国安全生产科学技术,2020,16(5):122.[doi:10.11731/j.issn.1673-193x.2020.05.019]
　SONG Yinghua,ZHANG Xiaoying,LYU Wei.Construction of disaster chain network model and risk analysis on wildlandurban interface fire[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2020,16(11):122.[doi:10.11731/j.issn.1673-193x.2020.05.019]
[6]沈俊杰,王海斌,贺元骅,等.低压环境下不同三元圆柱锂电池热失控危险特性对比研究[J].中国安全生产科学技术,2020,16(6):110.[doi:10.11731/j.issn.1673-193x.2020.06.018]
　SHEN Junjie,WANG Haibin,HE Yuanhua,et al.Comparative study on thermal runaway hazardous characteristics of different ternary cylindrical lithium battery under low-pressure environment[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2020,16(11):110.[doi:10.11731/j.issn.1673-193x.2020.06.018]
[7]刘海云,韩晓松,翟振岗,等.基于复杂网络的燃气管线破裂灾害链风险分析*[J].中国安全生产科学技术,2020,16(9):37.[doi:10.11731/j.issn.1673-193x.2020.09.006]
　LIU Haiyun,HAN Xiaosong,ZHAI Zhengang,et al.Risk analysis on rupture disaster chain of gas pipeline based on complex network[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2020,16(11):37.[doi:10.11731/j.issn.1673-193x.2020.09.006]
[8]周志鹏,诸泽宇.基于事件提取和改进MMHC的航空旅客运输事故征候贝叶斯网络建模*[J].中国安全生产科学技术,2021,17(2):152.[doi:10.11731/j.issn.1673-193x.2021.02.024]
　ZHOU Zhipeng,ZHU Zeyu.Bayesian network modeling of aviation passenger transport incident based on event extraction and improved MMHC[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2021,17(11):152.[doi:10.11731/j.issn.1673-193x.2021.02.024]
[9]赵士翔,胡春春,马兰.危化品事故情景推演网络构建及关键节点分析*[J].中国安全生产科学技术,2022,18(2):36.[doi:10.11731/j.issn.1673-193x.2022.02.005]
　ZHAO Shixiang,HU Chunchun,MA Lan.Construction of scenario deduction network for hazardous chemical accidents and analysis of key nodes[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(11):36.[doi:10.11731/j.issn.1673-193x.2022.02.005]
[10]程明,李忆轩.终端区飞行冲突事件情景演变网络构建研究 *[J].中国安全生产科学技术,2022,18(2):50.[doi:10.11731/j.issn.1673-193x.2022.02.007]
　CHENG Ming,LI Yixuan.Research on scenario evolution network construction of flight conflict incident in terminal area[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(11):50.[doi:10.11731/j.issn.1673-193x.2022.02.007]

备注/Memo

备注/Memo:
收稿日期： 2023-04-26
* 基金项目： 国家自然科学基金项目（52072286）
作者简介： 吕伟，博士，副教授，主要研究方向为城市公共安全与应急疏散，行人车辆交通动力学建模与仿真。
通信作者： 刘钰阁，硕士研究生，主要研究方向为航空安全。
更新日期/Last Update: 2023-12-06