Data Analytics for Air Travel Data: A Survey and New Perspectives
Data Analytics for Air Travel Data: A Survey and New Perspectives
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DOI：
10.1145/3469028
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发表时间：
2021-11-01
影响因子：
16.6
通讯作者：
Iyengar, Sundaraja Sitharama
中科院分区：
文献类型：
--
作者：
Tian, Haiman;Presa-Reyes, Maria;Iyengar, Sundaraja Sitharama
从一开始，航空业就通过快速长途运输将世界各国连接起来，帮助人们克服地理障碍。因此，这带来了国内和国际经济的大幅增长。航空业产生大量数据，捕获有关其运营的各种信息，包括与乘客、货运、航班等相关的数据。分析航空旅行数据可以加深对航空市场动态的了解，使公司能够提供定制、高效、安全的运输服务。由于在如此复杂的环境中面临大数据挑战，航空业从航空旅行数据中获取洞察的好处尚未得到充分发挥。本文旨在调查各种组件和相应的拟议数据分析方法，这些方法被认为对航空业的内部运作至关重要。我们介绍了调查论文中常用的现有数据源，并总结了它们的可用性。最后，我们讨论了未来更好地利用航空公司数据的几个潜在研究方向。我们期望这项研究能够为航空业成员和对航空研究感兴趣的学术学者提供综合参考。
From the start, the airline industry has remarkably connected countries all over the world through rapid long-distance transportation, helping people overcome geographic barriers. Consequently, this has ushered in substantial economic growth, both nationally and internationally. The airline industry produces vast amounts of data, capturing a diverse set of information about their operations, including data related to passengers, freight, flights, and much more. Analyzing air travel data can advance the understanding of airline market dynamics, allowing companies to provide customized, efficient, and safe transportation services. Due to big data challenges in such a complex environment, the benefits of drawing insights from the air travel data in the airline industry have not yet been fully explored. This article aims to survey various components and corresponding proposed data analysis methodologies that have been identified as essential to the inner workings of the airline industry. We introduce existing data sources commonly used in the papers surveyed and summarize their availability. Finally, we discuss several potential research directions to better harness airline data in the future. We anticipate this study to be used as a comprehensive reference for both members of the airline industry and academic scholars with an interest in airline research.