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The mobility of the Swiss population causes damage every year, mainly to the environment and climate, but also to health.

How will our future mobility look like? Professor Kay Axhausen in the Interview for SRF School.

How much are common machine learning classifiers, such as Random Forest (RF), Support Vector Machines (SVM), and Artificial Neural Networks (ANN) better in forecasting than traditional discrete choice models?

What lessons do we draw from the Covid crisis as a field test for a more sustainable urban landscape in Switzerland?

The Canton of Zurich recently adopted the net-​zero 2040 climate protection target. Here Sibylle Wälty appeals for more 10-​minute neighbourhoods, which, by making better use of the settlement area, will reduce emissions.

Traffic situation improvement and coordination of transportation and spatial development.

The Corona pandemic had an impact on the national road network last year as well: Traffic increased again but was below the level of previous years.