Airports have undergone a significant digital evolution over the past decades, enhancing efficiency, effectiveness, and user-friendliness through various technological advancements. Initially, airports deployed basic IT solutions as support tools, but with the increasing integration of digital systems, understanding the detailed digital ecosystem behind airports has become crucial. This research aims to classify technological maturity in airports, using the access control process as an example to demonstrate the benefits of the proposed taxonomy. The study highlights the current digital ecosystem and its future trends and challenges, emphasizing the importance of distinguishing between different levels of technological maturity. The role of biometric technology in security access control is examined, highlighting the importance of proper identification and classification. Future research could explore data collection, privacy, and cybersecurity impacts, particularly regarding biometric technologies in Smart Access Level 4.0. The transition from Smart Access Level 3.0 to 4.0 involves process automation and the introduction of AI, offering opportunities to increase efficiency and improve detection capabilities through advanced data analytics. The study underscores the need for global legislative frameworks to regulate and support these technological advancements.
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Airport infrastructure evolves alongside legacy systems and processes that limits the ability to fully realise the efficiency potential of costly renovations. Airports will continue to take advantage of current and future technologies. Nevertheless, for such systems to work as efficiently as possible, the passenger should play an active role. This paper analyzes the effect of a new type of emerging ’smart passenger’, one that cooperates to be enabled to use the most efficient processes for a seamless experience. The technological and behavioural enhancements areassessed with the simulation of two case studies: London City and Palma de Mallorca airports. Results indicate that the introduction of this type of passenger brings benefit in terms of level of service indicators not only to this type of passenger but also to the traditional ones (business, visitor and leisure). However,the impact differs depending on the type of airport and the proportion of ’smart passengers’.
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Dit eindrapport behandelt het onderzoek van CDM@Airports, gericht op Collaborative Decision Making in de logistieke processen van luchtvrachtafhandeling op Nederlandse luchthavens. Dit project, met een looptijd van ruim twee jaar, is gestart op 8 november 2021 en geëindigd op 31 december 2023. HET PROJECT CDM@AIRPORTS OMVAT DRIE WERKPAKKETTEN: 1. Projectmanagement, dit betreft de algehele aansturing van het project incl. stuurgroep, werkgroep en stakeholdermanagement. 2. Onderzoeksactiviteiten, bestaande uit a) cross-chain-samenwerking, b) duurzaamheid en c) adoptie van digitale oplossingen voor datagedreven logistiek. 3. Management van een living lab, een ‘quadruple-helix-setting’ die fysieke en digitale leeromgevingen integreert voor onderwijs en multidisciplinair toegepast onderzoek.
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