Implementation of free-floating and station-based carsharing in an agent-based travel demand model

The number of carsharing cars and users is growing throughout the world. Although there is a comparatively small share in modal split, carsharing is becoming more important as a supplemental transport mode, especially in metropolitan areas. This implies a need to further develop planning tools, so that this “new mode” can be considered in the planning process. This paper illustrates the integration of carsharing in an agent-based travel demand model that simulates the travel behavior of the population in the greater Stuttgart area for one week. Since it is the first time that carsharing usage is simulated for more than one day, this model permits longitudinal analysis of the intensity and variability of carsharing usage.