使用多层复杂网络对飞机取消的天气因素的分析
Kyunghun Kim1, Hoyong Lee2, Myungjin Lee3
1Department of Civil Engineering, INHA University, Incheon 22212, Republic of Korea.
Entropy (Basel, Switzerland)
|August 26, 2023
概括
这项研究使用多层复杂网络 (MCN) 来分析因天气而导致的航班取消. 降雨对航班取消的影响要大于风速,而济州机场是主要的枢纽.
科学领域:
- 航空气象 航空气象学
- 复杂网络分析 复杂网络分析
- 运输科学 运输科学
背景情况:
- 由于天气异常,取消航班的数量正在增加,这影响了航空业.
- 之前的研究经常简化了与天气有关的航班取消的分析.
- 需要多层次的方法来理解导致飞行中断的因素的相互作用.
研究的目的:
- 应用多层复杂网络 (MCN) 方法来调查飞机取消的情况.
- 分析飞机,降雨量和风速对韩国航班取消的影响.
- 识别关键节点并了解天气引起的飞行中断的动态.
主要方法:
- 使用多层复杂网络 (MCN) 模型.
- 关于14个韩国机场的飞机,降雨和风速的综合数据.
- 应用基于信息的中心性分析来识别有影响力的节点.
主要成果:
- 发现降雨对航班取消的影响比风速更大.
- 由于飞机需求较高,济州机场被确定为最具影响力的节点.
- 该研究表明,飞机取消因素最好通过MCN内的链接来定义.
结论:
- 该MCN方法提供了一个强大的框架来分析复杂的航空现象.
- 了解因素的相互联系对于减轻与天气有关的飞行中断至关重要.
- 该方法适用于航空和气象学,为操作改进提供了洞察力.
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