Abstract

Modelling large socio-technical infrastructure systems tends to be tricky. In the past either one ‘best fitting’ mod-elling technique was used to model the system or a small part of the system was modelled. This lead to many tradeoffs, where the chosen modelling method got to its limits: by modelling a small part, effects from outside were ignored and modelling the whole system with one method lead to either much detail - where micro-based methods were applied - where it was not required which further lead to high computation times. Using a macro-based approach lead to less detail where it would have been needed. Dif-ferent parts of the Airport City are modelled with the best fitting modelling technique. These parts are researched for their coupling mechanisms to model the whole system and see how effects in one part evolve and pass to the next subsystem. An agent based model of the landside with a modal split of passenger arrival, a Discrete Events terminal model, a multi-method agent-based model with an inte-grated System Dynamics model representing the retail area of an airport and an agent based model of the airside are developed and their advantages and disadvantages are being explored.