Predictive 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.