Aerial view of a city at night, above it a filter with icons of different vehicles, which are interlinked with each other

for Transformative Mobility Systems

Transport operators and associations, regional authorities, infrastructure providers, planners and consultants – all these institutions need to investigate the impacts of interventions in the transport system to design sustainable mobility systems which are equipped for the future.

AIT’s Center for Mobility Systems offers services for impact assessments of interventions on the supply and/or demand side revealing short-/medium- and long-term effects on mode-, route- and destination-choice in a wide range of contexts (e.g. spatial, social groups) by implementing comprehensive knowledge on group-specific behavior changes in integrated simulation environments and models. AIT is able to provide impact assessment for a number of different mobility related dimensions covering environmental factors (such as air quality or noise emissions), economic factors (such as monetary effects for individuals) or safety-related issues for a number of situations, covering both soft measures and hard measures. This will be achieved by combining demand modeling with transport simulation methods and impact models.

Impact assessment can be performed for interventions such as changes in the transport infrastructure, usage restrictions (e.g. congestion charging, dynamic pricing, parking management actions), the inclusion of new technologies into transport systems (e.g. new information systems or autonomous vehicles), measures aiming at empowering specific social groups (e.g. training or facilitated access to transport options) or persuasive measures aiming at motivating behavior change.

The solutions can be applied in three areas:

  • Impact assessment of planned interventions (on the supply or demand side) for assessing short- and medium-term impact of measures on behavior change and long-term economic, social and environmental impact of modal shifts and the related benefits and costs of transport interventions.
  • Identify and assess potentials for effective target realization (e.g. cost-benefit analysis, rebound-/ backfire effects for reaching climate goals, balancing land use) by simulating different intervention scenarios considering behavior change reactions of different social groups and deduce recommendations for selecting appropriate measures.
  • Decision support for contingency plans by simulating probable hazardous incidents and the impact of counter measures (e.g. risk analysis, investigation of scenarios, and recommendations for actions).