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Understanding and predicting passenger behaviours through data analytics

机译：通过数据分析了解和预测乘客行为

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摘要

Passenger satisfaction is currently one of the most significant key performance indicators (KPIs) for the benchmarking of airports and airlines. It is also a source of valuable insights on the visibility of the process taking place and its effectiveness and efficiency. Therefore, itcan be considered as a tool that can provide - depending on the data sources incorporated - not only understanding and awareness of the airport, passenger and airline processes, but also detailed analysis, trends, pattern recognition and actionable initiatives in areas such asretail revenue development and marketing initiatives based on personal preferences. The aim of this paper is to try to break down and provide a list of how Athens International Airport together with Indra, Spain, in the context of the biggest Horizon 2020 European Union (EU) funded data analyticsresearch project for the transport sector, the Transforming Transport project, approaches airport data analytics and the methodology employed and provide a description of some of the use cases that will be considered. This paper can serve as a starting point for organisations in their questfor airport data analytics.
机译：乘客满意是目前最重要的主要绩效指标（KPI）是机场和航空公司的基准。它也是对过程的可见性和效率和效率的有价值见解的源泉。因此，ITCAN被视为可以提供的工具 - 取决于纳入的数据来源 - 不仅要理解和认识机场，乘客和航空公司流程，还要详细分析，趋势，模式识别和可操作的领域在此类途径收入基于个人喜好的开发和营销举措。本文的目的是试图分解并提供雅典国际机场的列表，西班牙Indra在最大的地平线上与西班牙的背景下，在最大的地平线2020欧盟（欧盟）资助的运输部门资助的数据分析资源研究项目，转型运输项目，接近机场数据分析和使用方法，并提供一些将考虑的使用情况的描述。本文可以作为机场数据分析的任务中组织的起点。

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