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The world of today is fraught with uncertainties. We can see this clearly in the ports and maritime sector, where current markets are volatile and difficult to predict, for both short and long terms. To cope with these uncertainties, port strategists and planners are developing modern, adaptive approaches that build on a deeper understanding of the many possible perturbations and their dynamic effects on port performance. On the other hand, globalization has made our world to be connected to an extend where global systems are emerging. The interconnectedness of different actors in the global freight transportation industry has rendered such a system as a large complex system where different sub-systems are interrelated [1; 3; 5; 7]. On such a system, policy-relatedexploratory analyses which have predictive capacity are difficult to perform. Unfortunately, although there are many global simulation models for various large complex systems there is unfortunately very little research aimed to develop a global freight transportation model [1]. In the last decade a number of advances were made in freight modelling from different disciplinary angles, that have not yet been brought together in this context. This research is intended to fill this gap and produce instruments that can be the basis of new strategic information systems by first providing a clear and technically solid framework that identifies and structures all sub-systems that are relevant for the global freight transportation models.