mobil.LAB Associated Fellow
- New Mobility Concepts
- Biocybernetic Systems Modelling
New Mobility Concepts based on Biocybernetic Systems Modelling and Simulation
Will biocybernetic systems modelling and simulation help to create, assess and implement future proof and sustainable urban and regional mobility and a change of user behaviour?
In recent decades politics and economies have focused increasingly on quantitative growth while exploiting and wasting natural resources, mainly due to linear management- and production processes of past centuries. This comprehends especially the sector of mobility and transport. Combined with the exponential growth of population and technologies, usual ways of thinking, planning and management have created an overall critical situation throughout our social, ecological and economical systems, threatening the basic resources providing the existence of future generations.
The actual situation in cities worldwide is dominated by complex challenges, especially in the context of the climate crisis and the necessary speed of developing new urban infrastructures for a growing population with an increasing demand of mobility and transport. Mobility and transport are among the main causers of CO2, other green-house gases and polluting elements. Especially in large urban cities, “urban health and wellbeing” are endangered (Gatzweiler, 2016).
New ways are also needed for the local problem analysis, and the creation of a common understanding for decision-makers and civil society. Although new and systemic knowledge has been gained regarding the interdependencies in our interconnected world and sustainability contexts, the application of systemic and holistic knowledge – especially in the sector of mobility - is still seriously lagging in the reality of politics, governance, economies, and education. It seems that something fundamentally constrains the necessary change in our modes of governance, e.g., situation assessment, strategy formulation and action planning.
Due to some actual concrete and successfully implemented projects, it will be possible to describe partly empirically and even partly quantitatively the advantages of the method and its generic pattern for future applications.