The global trends of urbanization create significant challenges for future cities regarding the organization of transportation of passengers and goods. Achieving sustainable, multi-modal mobility styles requires a deep understanding of human mobility behavior for assessing the reactions of users to new mobility options and technologies.
To set the basis for enabling persistent sustainable behavior changes, we focus on identifying and analyzing factors influencing mobility behavior. The results are used for defining group-specific requirements for new mobility and information services, for modeling reactions to new mobility options or new regulations, and for developing measures encouraging behavior change. In this way, multi-modal lifestyles can be fostered and rebound and backfire effects can be minimized by using realistic multimodal transport simulations for more reliable assessment of the consequences of planned interventions. The findings are especially relevant for transportation and information providers in order to develop effective solutions, but also for urban decision makers in order to invest in high potential measures supporting transportation policy and sociopolitical goals.
AIT Scientists increase with their "Change-lab" the effectivenes to reach transport policy goals.