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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Service design is literally the design of services. Service designers improve existing services or design completely new ones. Nothing new so far. Services have been around for centuries, and every service was conceived and designed by someone. However, service design takes a different angle; a different perspective as its starting point: it is a process of creative inquiry aimed at the experiences of the individual user. ‘Service design, insights from 9 case studies’ is the final publication of the Innovation in Services programme. During this programme, creative design agencies applied the methods of service design in nine different projects.
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Seamless integration of air segment in the overall multimodal mobility chain is a key challenge to provide more efficient and sustainable transport services. Technology advances offer a unique opportunity to build a new generation of transport services able to match the evolving expectations and needs of society as a whole. In this context, the passenger-centric approach represents a method to inform the design of future mobility services, supporting quality of life, security and services to citizens traveling across Europe. Relying on the concepts of inclusive design, context of use and task analysis, in this article, we present a comprehensive methodological framework for the analysis of passenger characteristics to elicit features and requirements for future multimodal mobility services, including air leg, that are relevant from the perspective of passengers. The proposed methodology was applied to a series of specific use cases envisaged for three time horizons, 2025, 2035 and 2050, in the context of a European research project. Then, passenger-focused key performance indicators and related metrics were derived to be included in a validation step, with the aim of assessing the extent of benefit for passengers that can be achieved in the forecasted scenarios. The results of the study demonstrate the relevance of human variability in the design of public services, as well as the feasibility of personalized performance assessment of mobility services.
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Predictive models and decision support toolsallow information sharing, common situational awarenessand real-time collaborative decision-making betweenairports and ground transport stakeholders. To supportthis general goal, IMHOTEP has developed a set of modelsable to anticipate the evolution of an airport’s passengerflows within the day of operations. This is to assess theoperational impact of different management measures onthe airport processes and the ground transport system. Twomodels covering the passenger flows inside the terminal andof passengers accessing and egressing the airport have beenintegrated to provide a holistic view of the passengerjourney from door-to-gate and vice versa.This paper describes IMHOTEP’s application at two casestudy airports, Palma de Mallorca (PMI) and London City(LCY), at Proof of Concept (PoC-level) assessing impactand service improvements for passengers, airport operatorsand other key stakeholders.For the first time onemeasurable process is created to open up opportunities forbetter communication across all associated stakeholders.Ultimately the successful implementation will lead to areduction of the carbon footprint of the passenger journeyby better use of existing facilities and surface transportservices, and the delay or omission of additional airportfacility capacities.
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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
X-TEAM D2D project is focused on integrating Air Traffic Management and Urban Air Mobility into an overall multimodal transport network to address the potential increase in efficiency of the overall transportation system in the future, considering the operational domain of the urban and extended urban environment up to a regional extent and passenger-centric perspective. This paper presents the analysis of the Door to Airport trajectory of business passengers until 2035. The results indicate the system's expected performance in 2035 under normal and disrupted scenarios providing insight on the expected impact of future technologies.
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from the article: "In the Netherlands, housing corporations are increasingly adopting self-service technologies (SSTs) to support affairs their tenants need to arrange. The purpose of the study is to examine the customers’ motivations of using SSTs in the context of the Dutch public housing sector. An empirical investigation is presented based on a sample of 1,209 tenants. Using partial least squares (PLS), the acceptance model of Blut, Wang, and Schoefer is adopted and tested. The results show that especially the need for interaction negatively influence the adoption of SSTs by tenants. Positively, subjective norm and self-efficacy influence the adoption. Furthermore, playfulness negatively influences this adoption. Developers of SSTs should focus on its ulitalitarian function, rather then invest in its playfulness. Moreover, adoption is propelled by the encouragement of others. This can be enhanced by positive word-of mouth and should therefore stimulated."
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In service design projects, collaboration between design consultant and service provider can be problematic. The nature of these projects requires a high level of shared understanding and commitment, which providers may not be used to. We studied designer-provider collaboration in multiple real-life cases, in order to uncover determinants for successful collaboration. The case studies involved six service innovation projects, performed by Dutch design agencies. Independent researchers closely monitored the projects. Additional interviews with designers and providers gave insights in how both parties experienced their collaboration in the innovation projects. During data analysis, a coding scheme was created inductively. The scheme supported us in formulating 12 themes for designer-provider collaboration, amongst them four contextual determinants of shared understanding and stakeholder commitment in SD-projects. The insights from this study were then grounded in literature. Knowledge gaps were identified on themes about agreements of responsibilities, the open-endedness of an SD-process, an opportunitysearching approach, and organizational change that is required for the successful implementation of innovative service concepts.
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It is expected that future transportation technologies will positively impact how passengers travel to their destinations. Europe aims to integrate air transport into the overall multimodal transport network to provide better service to passengers, while reducing travel time and making the network more resilient to disruptions. This study presents an approach that investigates these aspects by developing a simulation platform consisting of different models, allowing us to simulate the complete door-to-door trajectory of passengers. To address the future potential, we devised scenarios considering three time horizons: 2025, 2035, and 2050. The experimental design allowed us to identify potential obstacles for future travel, the impact on the system’s resilience, and how the integration of novel technology affects proxy indicators of the level of service, such as travel time or speed. In this paper, we present for the first time an innovative methodology that enables the modelling and simulation of door-to-door travel to investigate the future performance of the transport network. We apply this methodology to the case of a travel trajectory from Germany to Amsterdam considering a regional and a hub airport; it was built considering current information and informed assumptions for future horizons. Results indicate that, with the new technology, the system becomes more resilient and generally performs better, as the mean speed and travel time are improved. Furthermore, they also indicate that the performance could be further improved considering other elements such as algorithmic governance.
MULTIFILE
It is expected that future transportation technologies will positively impact how passengers travel to their destinations. Europe aims to integrate air transport into the overall multimodal transport network to provide better service to passengers, while reducing travel time and making the network more resilient to disruptions. This study presents an approach that investigates these aspects by developing a simulation platform consisting of different models, allowing us to simulate the complete door-to-door trajectory of passengers. To address the future potential, we devised scenarios considering three time horizons: 2025, 2035, and 2050. The experimental design allowed us to identify potential obstacles for future travel, the impact on the system’s resilience, and how the integration of novel technology affects proxy indicators of the level of service, such as travel time or speed. In this paper, we present for the first time an innovative methodology that enables the modelling and simulation of door-to-door travel to investigate the future performance of the transport network. We apply this methodology to the case of a travel trajectory from Germany to Amsterdam considering a regional and a hub airport; it was built considering current information and informed assumptions for future horizons. Results indicate that, with the new technology, the system becomes more resilient and generally performs better, as the mean speed and travel time are improved. Furthermore, they also indicate that the performance could be further improved considering other elements such as algorithmic governance.
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