Towards Smart Airport Management: A Service-Oriented Architecture for Passenger Flow Integration and Travel-Time Prediction
DOI:
https://doi.org/10.18089/tms.20260205Keywords:
Smart Airport Management, Passenger Flow, System Interoperability, Service-Oriented Architecture, Travel Time PredictionAbstract
The continuous growth of global air transport in the era of tourism globalisation and the increasing complexity of airport operations highlight the need for integrated technological solutions that support data-driven management. This study proposes a high-level integrated model that consolidates information from multiple airport systems and enables automated analysis of passenger flows and travel-time prediction. A snowball sampling methodology based on structured interviews with experts at Málaga–Costa del Sol Airport was used to examine the feasibility, requirements, and potential value of implementing such an integrated approach. Drawing on contemporary research in service-oriented architectures, the study outlines a conceptual framework centred on a middleware layer that orchestrates communication between heterogeneous subsystems. The proposed model offers a structured basis for developing more flexible, scalable, and predictive airport management tools. This work contributes to the discussion on digital transformation in complex airport environments, as the findings highlight a clear need to improve the interoperability of systems and data and establish a foundation for future research.
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