This article compares different methods of operationalisation and visualisation of the effects of new transport systems (infrastructures and services) on time–space, and examines their strengths and weaknesses, using the example of the evolution of the German rail network between 1990 and 2020. The results suggest that conventional methods are simpler to interpret, but fail to convey certain properties, while less frequently used methods may be better at incorporating the properties at the cost of being more difficult to read.
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