What makes mobility complex is that it is full of interactions. Interactions between pedestrians, between cars, between buses, between trains, between vehicles and infrastructure. In any mobility system, each component cannot be studied in isolation, as its future is partly but strongly determined by its interactions with other components and its environment. These interactions make it difficult to separate the components of a complex system. Traditional scientific and engineering methods rely on separability, and thus we need to use novel approaches. If we cannot study components individually, we need to model at the same time two levels of abstraction: the component level and the system level. We must understand how interactions between components give rise to system properties, and also how system properties constrain and promote behaviors and states of the components. Computer simulations have been the ideal tool for this, to the point that they have been compared with microscopes or telescopes which allow us to explore the microworld and the macroworld. Computer simulations allow us to explore the complex world.
Research Professor on society, culture, art, cognition, critical thinking, intelligence, creativity, neuroscience, autopoiesis, self-organization, complexity, systems, networks, rhizomes, leadership, sustainability, thinkers, futures ++
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