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Towards superior air transport performance metrics - imperatives and methods

机译:建立卓越的航空运输绩效指标-必要性和方法

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摘要

In order to improve air traffic management service delivery, we need to better characterise and measure performance, through improved metrics. We introduce complexity science and illustrate examples of the additional metrics it may bring to air traffic management. We show how exploring metric variability is preferred to focusing on central tendency. The importance of embracing passenger-centricity is demonstrated. The first results of applying complexity science techniques to the characterisation of actual European passenger trip itineraries are presented, investigating network topologies and vulnerabilities. It is anticipated that on-going work will further contribute to existing research demonstrating the differences between flight-centric and passenger-centric metrics, establishing the better alignment of the latter with key high-level policies in Europe. The specific metric contributions from complexity science remain to be fully proven - although the initial evidence is encouraging.
机译:为了改善空中交通管理服务的提供,我们需要通过改进指标来更好地表征和衡量性能。我们介绍了复杂性科学,并举例说明了它可能给空中交通管理带来的其他指标。我们展示了如何探索度量变异性而不是集中于集中趋势。证明了以乘客为中心的重要性。提出了将复杂性科学技术应用于欧洲旅客实际旅行路线的表征的第一个结果,调查了网络拓扑结构和漏洞。预计正在进行的工作将进一步促进现有研究,以证明以飞行为中心的指标和以乘客为中心的指标之间的差异,从而使后者更好地与欧洲的关键高级政策保持一致。尽管最初的证据令人鼓舞,但复杂性科学在度量指标方面的贡献仍有待充分证明。

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