A study of the U.S. domestic air transportation network: temporal evolution of network topology and robustness from 2001 to 2016

稳健性(进化) 网络拓扑 中心性 计算机科学 拓扑(电路) 计算机网络 分布式计算 工程类 数学 生物化学 基因 组合数学 电气工程 化学
作者
Leonidas Siozos-Rousoulis,Dimitri Robert,Wouter Verbeke
出处
期刊:Journal of Transportation Security [Springer Science+Business Media]
卷期号:14 (1-2): 55-78 被引量:10
标识
DOI:10.1007/s12198-020-00227-x
摘要

The U.S. air transportation network (ATN) is critical to the mobility and the functioning of the United States. It is thus necessary to ensure that it is well-connected, efficient, robust, and secure. Despite extensive research on its topology, the temporal evolution of the network’s robustness remains largely unexplored. In the present paper, a methodology is proposed to identify long-term trends in the evolution of the network’s topology and robustness over time. The study of the U.S. domestic ATN’s robustness was performed based on annual flight data from 1996 to 2016 and network analytics were used to examine the effects of restructuring that followed the 9/11 events. Centrality measures were computed and a node deletion method was applied to assess the network’s tolerance to a targeted attack scenario. The outcome of this study indicated that the 9/11 terrorist attacks triggered vast restructuring of the network, in terms of efficiency and security. Air traffic expanded, as new airports and air routes were introduced, allowing the network to recover rapidly and become more efficient. Security concerns resulted in significant improvement of the network’s robustness. Since 2001, the global traffic and topological properties of the U.S. ATN have displayed continuous growth, due to the network’s expansion. On the other hand, the results suggest that although the system’s ability to sustain its operational level under extreme circumstances has lately improved, its tolerance to targeted attacks has deteriorated. The presented methodology has shown its potential to be applied on different network levels or different transportation networks, in order to provide a general perspective of the system’s vulnerabilities.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Sherwin完成签到,获得积分10
刚刚
5秒前
小w完成签到,获得积分10
10秒前
laplatom完成签到,获得积分10
10秒前
一一一发布了新的文献求助10
11秒前
激动的雪冥完成签到,获得积分10
12秒前
小丘2024发布了新的文献求助10
13秒前
不再选择完成签到,获得积分10
14秒前
等待的谷波完成签到 ,获得积分10
17秒前
彭于晏应助Ceceliayyy采纳,获得10
17秒前
LIUHUIHUI发布了新的文献求助10
17秒前
18秒前
天天完成签到,获得积分10
19秒前
20秒前
21秒前
22秒前
体贴的小susu完成签到,获得积分10
22秒前
Ava应助Ceceliayyy采纳,获得10
23秒前
莫等闲完成签到,获得积分10
23秒前
追寻听南发布了新的文献求助20
24秒前
尊敬的惠发布了新的文献求助10
26秒前
27秒前
28秒前
科研通AI5应助北北贝贝采纳,获得10
30秒前
ddd发布了新的文献求助10
31秒前
Lucas应助阿九采纳,获得10
31秒前
32秒前
WSH发布了新的文献求助10
33秒前
33秒前
tomato发布了新的文献求助10
34秒前
虚拟的夜白完成签到,获得积分10
34秒前
Kelvin.Tsi完成签到 ,获得积分10
34秒前
34秒前
35秒前
SciGPT应助hahhahahh采纳,获得10
35秒前
Hans完成签到,获得积分10
36秒前
xxxxxb发布了新的文献求助10
36秒前
37秒前
陶醉的冰珍完成签到,获得积分20
37秒前
38秒前
高分求助中
Basic Discrete Mathematics 1000
Technologies supporting mass customization of apparel: A pilot project 600
Introduction to Strong Mixing Conditions Volumes 1-3 500
Tip60 complex regulates eggshell formation and oviposition in the white-backed planthopper, providing effective targets for pest control 400
A Field Guide to the Amphibians and Reptiles of Madagascar - Frank Glaw and Miguel Vences - 3rd Edition 400
China Gadabouts: New Frontiers of Humanitarian Nursing, 1941–51 400
The Healthy Socialist Life in Maoist China, 1949–1980 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3799327
求助须知:如何正确求助?哪些是违规求助? 3344954
关于积分的说明 10322665
捐赠科研通 3061436
什么是DOI,文献DOI怎么找? 1680323
邀请新用户注册赠送积分活动 807007
科研通“疑难数据库(出版商)”最低求助积分说明 763453