You'll never share alone: Analyzing carsharing user group behavior

• We compare 20 carsharing user groups in a medium-sized urban environment. Partial overlapping reveals interdependencies among the groups. The differ considerably their spatial and temporal usage behavior. Promoting with anticyclical behavior helps to balance occupation rates. of free-floating station-based differs several aspects. rapidly developing concept is an essential scalable part sustainable, multimodal mobility environments. There clear need for operators understand users how they use different transportation modes intensify development its positive impacts on environment cohabitation. foster this understanding by analyzing data German city. based individual characteristics focus two-way scheme relation carsharing. Based clustering segmentation approaches, we defined particularly interesting analyzed noticeable patterns. Additionally, examined these partially dimension. With results, support research customers assessing users’