Integrated multimodal airport operations for efficient passenger flow management: Two case studies

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dc.contributor.authorRothe, Henrik
dc.contributor.authorJimenez Perez, Edgar
dc.contributor.authorMoxon, Rich
dc.contributor.authorEllis, Darren
dc.contributor.authoret al.
dc.date.accessioned2023-07-12T07:46:58Z
dc.date.available2023-07-12T07:46:58Z
dc.date.issued2022-12-06
dc.description.abstractPredictive models and decision support tools allow information sharing, common situational awareness and real-time collaborative decision-making between airports and ground transport stakeholders. To support this general goal, IMHOTEP has developed a set of models able to anticipate the evolution of an airport’s passenger flows within the day of operations. This is to assess the operational impact of different management measures on the airport processes and the ground transport system. Two models covering the passenger flows inside the terminal and of passengers accessing and egressing the airport have been integrated to provide a holistic view of the passenger journey from door-to-gate and vice versa. This paper describes IMHOTEP’s application at two case study airports, Palma de Mallorca (PMI) and London City (LCY), at Proof of Concept (PoC-level) assessing impact and service improvements for passengers, airport operators and other key stakeholders. For the first time one measurable process is created to open up opportunities for better communication across all associated stakeholders. Ultimately the successful implementation will lead to a reduction of the carbon footprint of the passenger journey by better use of existing facilities and surface transport services, and the delay or omission of additional airport facility capacities.en_UK
dc.identifier.citationRothe H, Jiménez E, Moxon R, et al., (2022) Integrated multimodal airport operations for efficient passenger flow management: Two case studies. In: 12th SESAR Innovation Days, 5-8 December 2022, Budapest, Hungaryen_UK
dc.identifier.urihttps://www.sesarju.eu/SIDS2022
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/19956
dc.language.isoenen_UK
dc.publisherAmsterdam University of Applied Sciencesen_UK
dc.subjectAirport-CDMen_UK
dc.subjectmultimodalityen_UK
dc.subjectpassenger journeyen_UK
dc.subjectreal-time decision-makingen_UK
dc.subjectdisruption managementen_UK
dc.titleIntegrated multimodal airport operations for efficient passenger flow management: Two case studiesen_UK
dc.typeConference paperen_UK

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