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Diffusion of emerging technologies is following the need of solving particular problems. Each innovation produces also some undesirable consequences. Many examples from the past have shown that along with the spread of each technology their side effects are accumulating until the level they need to be solved. One of the examples is automobile, which advantages and disadvantages were already described including its spatial consequences. Automobile did not change its general way of functioning for over one century, and recent technological advances in automation may revolutionize the way it is used. Nowadays, automotive and IT industries are investing in so called: autonomous automobiles, driverless vehicles and self-driving cars, the meaning of which intertwine. Diffusion of automation in mobility is going to accelerate in the near future. The earliest implementations of new transport technologies appear in metropolises which also have the highest level of general mobility. Due to the possible significant consequences of this innovation's diffusion for metropolitan (urban and suburban) spatial structures it is important to anticipate its potential side effects to avoid negative consequences, and if necessary – to prepare to encounter them. This led to undertake research on the relationship between modern mobility innovations and metropolitan spatial structures. The article presents the assumptions and principles of scenario-based research. The example shows how diffusion of different driverless mobility solutions determine different impacts on spatial structures, and thus possible scenarios for the future.
Smolnicki et al. (2016) studied this question.