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Publication in "PLOS One"

Getting to grips with everyday activities

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The image shows a road surrounded by numerous buildings, with cyclists taking centre stage. A cyclist in the foreground is blurred and riding fast, while a second person on a bicycle rides in a marked lane behind a silver car. © © ​Timelynx​​/​​​stock.adobe.com
The new model reflects people's everyday mobility behaviour and shows how the choice of transport mode is made.
In surveys, many people advocate environmental protection, but in everyday life they continue to use environmentally harmful means of transportation such as private cars in large numbers. Mobility behavior is often shaped by familiar patterns and it is difficult to switch to alternatives. This gap between attitudes and behavior - also known as the "attitude-behavior gap" - is the focus of Sen.-Prof. Johannes Weyer's research. Together with his team, he recently presented a model in the scientific journal "PLOS One" that depicts people's everyday behavior. It can be used, for example, to understand and predict what incentives are needed to bring about a lasting change in mobility behavior.

Sen.-Prof. Johannes Weyer, Senior Professor of Sustainable Mobility, and Sebastian Hoffmann have developed the model called xMooBe, which has its roots in sociological action theory. The abbreviation stands for "Extended Model of Mobility Behavior". xMooBe depicts people's everyday mobility behavior and explains how specific decisions - such as the choice of means of transport - are made. It is based on a large-scale survey of over 10,000 employees and students at the University Alliance Ruhr, in which individual preferences ("What is more important to me, comfort or the environment?") and subjectively perceived probabilities ("What is the best way to reach my destinations, by car or by bike?") were recorded. Contextual factors such as car ownership, the availability of cycle paths or whether children live in the household were also taken into account.

You can find out more about the research project and the current results on the TU Dortmund University website.