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Why is your flight late?Mining airline data to assess root-causes and impact of delay propagation

机译:为什么你的航班迟到了?挖掘航空公司数据,以评估延迟传播的根本原因和影响

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1. Delays cause other delays: 25.4% of delay networks include delay propagation. 2. Delays do not often propagate a lot: 1-2 flights normally. 3. When delay propagates it is often through passenger connections. 4. It seems like there is a threshold above which the network "collapses". 5. Methodology as a contribution itself. Conclusions / Recommendations: 1. Improve passenger connection process. 2. Develop recovery capabilities. 3. If hub-and-spoke, hub operations are key. 4. Aircraft maintenance prediction can help with a significant root cause. Future (Ongoing) Work: 1. Study industry performance standards (>15m). 2. Apply on other airlines. 3. Look for other patterns that can support industry. 4. Extend the tool to support delay prediction. Work With US: 1. If you are an airline, we can conduct a similar analysis for your ops. 2.If you are a researcher, we would be happy to discuss feedback/ideas for future work.
机译:1.延迟导致其他延迟:25.4%的延迟网络包括延迟传播。 2.延误通常不会繁殖很多:通常是1-2个航班。 3.当延迟传播时,通常通过乘客连接。这似乎有一个阈值,网络“折叠”。 5.方法论作​​为贡献本身。结论/建议:1。改善乘客联系过程。 2.开发恢复功能。 3.如果集线器和辐条,集线器操作是关键。 4.飞机维护预测可以帮助重大根本原因。未来(正在进行)的工作:1。学习行业绩效标准(> 15米)。 2.申请其他航空公司。 3.寻找可以支持行业的其他模式。 4.扩展工具以支持延迟预测。与我们合作:1。如果您是航空公司,我们可以对您的操作进行类似的分析。 2.如果您是一名研究员,我们很乐意讨论未来工作的反馈/想法。

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