Car sharing is often associated with the pooling of private mobility demand. Additional pooling effects by integrating private and corporate mobility demand in one car sharing system have not yet been addressed in research. Against this background, we present a mathematical optimization model to identify pooling effects in terms of fleet size reduction in such integrated systems. Herein, the model considers different system designs, for example, the opportunity for companies to temporarily block company-exclusive subfleets at the company location. Moreover, we regard the trade-off between tactical fleet size and operational relocation effort. In a case study, we apply the methodology to the city of Munich. In particular, we examine the impact of system designs, variation in demand, and heterogeneity of private and corporate mobility demand on pooling effects. Our results show fleet size reductions of up to 35% from integrating private and corporate mobility demand in car sharing systems.

汽车共享通常与私人出行需求的汇集有关。研究尚未解决通过将私人和企业出行需求整合到一个汽车共享系统中而产生的额外汇集效应。在此背景下，我们提出了一个数学优化模型，以确定在此类集成系统中减少车队规模方面的汇集效应。在此，该模型考虑了不同的系统设计，例如，公司有机会在公司所在地临时阻止公司专属的子舰队。此外，我们考虑了战术舰队规模和作战搬迁工作之间的权衡。在案例研究中，我们将该方法应用于慕尼黑市。特别是，我们检查了系统设计、需求变化的影响，私人和企业流动需求的异质性对汇集效应的影响。我们的结果显示，通过将私人和企业的出行需求整合到汽车共享系统中，车队规模最多可减少 35%。