Multiple-day Agent-based Modeling Approach of Station-based and Free-floating Carsharing

The number of carsharing users and cars is growing all over the world and although there is a comparatively small share in modal shift, carsharing is getting more and more important as additional transport mode especially in metropolitan regions. The consequence is a growing usage of carsharing and therewith a changing travel behavior. This implies a need for a further development of 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 within one week. Since it is the first time that carsharing usage is simulated for more than one day, the described model allows analyzing the intensity and variability of carsharing usage from a longitudinal perspective. The model results show the variation of carsharing usage between the days of the week.