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

快速发展的汽车共享概念是城市环境中可持续的多式联运的重要组成部分，也是可扩展的一部分。共享汽车运营商显然需要了解他们的用户，以及他们如何使用不同的运输方式来加强共享汽车的开发及其对环境和城市同居的积极影响。我们通过分析德国中型城市的汽车共享使用数据来增进这种理解。我们根据个人特征和他们的汽车共享使用行为来比较用户组。我们专注于基于站点的双向汽车共享方案及其与自由浮动汽车共享的关系。基于不同的聚类和细分方法，我们在拼车用户中定义了20个特别有趣的用户组，并分析了可察觉的使用模式。此外，我们在空间维度上检查了这些部分重叠的用户组。凭借这些结果，我们支持研究人员和运营商了解汽车共享客户并评估用户的个人行为。