Verkehrsentstehung und Mobilitätsverhalten
A central aspect of the VEU project is the investigation of mobility behavior. Every day we make decisions that influence the development of transport and thus also the environment: whether, for instance, to drive, cycle, walk or take public transport on the way to work, the shops or for leisure. Businesses and authorities decide if goods are transported by road, rail, air or ship, or which transport mode is used for business trips and which vehicle is used in business fleets.
Mobility in transformation
Resulting mobility patterns are thus influenced by many factors, e.g. technological innovation, changes in the labor market, the economy, consumer and leisure preferences, and also demographic developments.
Statistics and new trends:
The causes and background of mobility patterns are investigated in the VEU project with empirical studies. The findings and data are integrated into the development of transport demand models. In addition, the acceptance of new concepts and technologies is also examined – of car sharing, for instance, or the use of information and communication technology, e.g. in the control of logistics processes or passenger information on public transport.
The main research focuses are:
- The development of behavior and mobility patterns in Germany: from transport demand to modal choice and trip purpose, to mobility trends
- The interrelationship between urban structure, residential and business location decisions, and mobility patterns
- The development of long-distance transport: an analysis of a growing segment and the reasons for choosing between the competing modes of air, road and rail
- An examination of national and international goods transport: production and consumption patterns, logistical nodal points, businesses’ logistics concepts and their interdependency with the creation of freight transport demand Analysis of the global air transport sector.
Modellierung zukünftiger Verkehrssysteme
Models – central component of the VEU project
Will commercial and air traffic continue to grow in the future? What are the consequences for the climate? Can electric mobility contribute to further sustainability? Numerous models are developed in the VEU project that shed light on future transport, climate and environmental developments, thus helping to evaluate sustainability-increasing measures.
Mathematics & Co
The models are based on complex mathematical equations that can describe and forecast multifaceted processes – in the case of climate research, for instance, the interplay between greenhouse gas emissions and physico-chemical processes in the atmosphere; in transport research, the interrelationship between user decisions and technological developments. For model calculations, which often process large volumes of data, large computers and sometimes week-long computing times are needed.
Pioneering work: combining models
Numerous models are not only developed in the VEU project, they are also linked with each other via interfaces. A model of energy-sector development paths, for instance, is linked with an electric mobility model or an air transport development model with climate simulation.
A multiplicity of models, vantage points and methods
The models are focused on the most diverse themes: supply and demand in passenger transport, for instance, technical innovations, noise or air pollution. The research encompasses both scientific/technological and social/empirical research. The areas looked at are equally diverse, ranging from the mapping of national transport and energy systems, to small-scale, specific models for urban and rural areas, to global models of air transport or the climate. In addition, internationally recognized meteorological and physical models are deployed on questions of weather patterns, air quality and the global climate.
In its combining of different models, the VEU project is breaking new scientific ground and – in addition to its contribution to transport, climate and environmental research – is thus also performing important fundamental research in the field of model development and simulations.