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.
This study examines the effect of seat assignment strategies on the transfer time of connecting passengers at a hub airport. Passenger seat allocation significantly influences disembarkation times, which can increase the risk of missed connections, particularly in tight transfer situations. We propose a novel seat assignment strategy that allocates seats to nonpaying passengers after check-in, prioritising those with tight connections. This approach diverges from traditional methods focused on airline turnaround efficiency, instead optimizing for passenger transfer times and reducing missed connections. Our simulation, based on real-world data from Paris-Charles de Gaulle airport, demonstrates that this passenger-centric model decreases missed connections by 12%, enhances service levels, reduces airline compensation costs, and improves airport operations. The model accounts for variables such as seat occupancy,luggage, and passenger type (e.g., business, leisure) and is tested under various scenarios, including air traffic delays.
MULTIFILE
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’.
The carbon dioxide emissions of aviation play an important role in many studies and databases. But unfortunately, a detailed and reliable overview of emission factors, and algorithms to calculate these based on factors like seating class, airline type, and aircraft type, did not exist for the Dutch aviation sector. This study calculated such emissions for a sample of over 5000 international flights in 2019 from the 5 Dutch main airports. The data about the flights were gathered from FlightRadar and enriched with seating capacities specific to the airline performing ten flights. in this way, emissions could be assigned to each of the four seating classes (economy, economy-plus, business and first). By aggregating the data to airline types and distance of the flight, algorithms were developed that help researchers and policy-makers to calculate the emissions. Societal IssueThe carbon footprint of Dutch aviation is about 10% of the total footprint. To prevent the world to exceed 1.5 degrees C and enter 'dangerous climate change', emissions need to decline to zero before 2050. This study helps assess and understand current aviation emissions from Dutch airports.Benefit to societyThe results were an update of emissions factors as used by the funding organisation, MilieuCentraal, and the official emission factors list (https://www.co2emissiefactoren.nl/lijst-emissiefactoren/).
INCLAVI will address the skills mismatches that exist in the aviation sector related to the freedom of movement of persons with disabilities and accessibility requirements in line with the EC Strategy for the Rights of Persons with Disabilities 2021-2030.The project accomplishes this through rigorous cooperation between key global industry and labour market actors combined with a world-class HEI and VET consortium. INCLAVI will also further improve the collaboration between HEIs and VET.INCLAVI will design and co-create a new training curriculum utilising expertise from HEI, VET and Industry Actors to support the reskilling of aviation sector employees and key target groups who have a role in the passenger journey of PwDs from door to door. The training will address students and professionals in areas of work related to travel agencies, airports, and airlines.
In the SensEQuake project, the Research Centre for Built Environment NoorderRuimte of Hanze University of Applied Sciences, StabiAlert, Target Holding and NHL Stenden Leeuwarden are investigating the following question:How can we provide relevant and understandable information to support decision makers when an earthquake has occurred?In case of a crisis such as an earthquake, parties such as the provincial government, large company sites, airports or hospitals need information on the scope and severity of the effect of the crisis.Systematic updates of the actual situation on site are of the essence for emergency services. At present only a small amount of the data necessary for this information needed is being collected. And the data that is collected is not processed into relevant and easily understandable information for the decision makers. This project aims to fill this gap.The objective of the project is to integrate the existing sensor technologies into a decision support system, allowing a wider and more immediate use of sensor data for public interest, particularly in crisis times.A heat-map will be produced based on scenario earthquakes and loss (hazard and risk assessment) estimation tools. After running several scenario quakes, critical points in respect to the expected damages and the distribution of existing sensors will be defined. More sensors in critical locations will also be placed to create a high enough resolution.
