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Understanding and predicting passenger behaviours through data analytics
Journal of Airport Management,
13
(1),
39-56
(2018)
Abstract
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, it can 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 as retail 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 analytics research 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 quest for airport data analytics.
Keywords: data analytics; big data predictive analytics; airport data analytics; digitalisation; airport digital transformation
The full article is available to subscribers to the journal.
Author's Biography
Nikolaos Papagiannopoulos is a senior project manager, BSc IT, MSc IT, MBA holder, and a certified Project Management Professional (PMP). He has more than twenty years’ experience in managing large-scale IT projects at Athens International Airport and in consulting as an expert on international assignments in India, Eastern Europe, etc. Working in a mission-critical environment such as a 24-7 international airport, he has strong experience in data management methodologies and has designed and managed large-scale mission-critical projects. He has extensive knowledge in information management and he is responsible for the airport’s corporate and operational data management. He is a project manager of research and innovation for European Union (EU) funded projects (eg FP7, H2020) on behalf of the airport.
Juan Francisco Garcia Lopez holds a master’s degree in computer science and engineering from the Universidad Politecnica de Madrid and is a Project Management Professional (PMP) with 15 years’ experience in the airport systems engineering field. He is passionate about airport systems and his main interest is to contribute to the improvement of flight operations and passenger experience in airports through the introduction of innovative concepts and systems. Juan Francisco is currently leading the participation of Indra’s airport department in innovation programmes (ACI ACRIS, 7th Framework Program, Horizon 2020) and aligning the prototypes developed in those innovation programmes with the road map of airport products at Indra.
