elib (German Aerospace Center) · 2016 · 78 citations · 0 references
Open access
Public HealthAutomotive EngineeringAutonomous SystemsAutonomous VehiclesTransportTransportationIntelligent Transportation SystemsMobility ManagementRoad TransportShared MobilityTraffic SafetyTravel BehaviorCar Use BehaviourFleet AllocationShared Autonomous VehiclesTravel Behavior ModelingTravel Demand Analysis
To analyse and quantify the possible impact of autonomous driving on mobility behaviour, we used an approach that combined both qualitative and quantitative methods. In the first phase of the project, we analysed the status quo in our selected countries and the expected developments in autonomous driving, and identified potential user segments and influencing areas related to autonomous driving which affect mobility behaviour. The insights were drawn from expert workshops, and from focus groups with potential users. In the second part of the study, using the results derived from the first phase of the project, we developed three scenarios to be examined with respect to the selected countries, which differed in the projected share of AVs within the vehicle fleet, as well as the way in which they are used as shared vehicles. Using a travel demand model, the impact of autonomous driving on mobility behaviour has been quantified.