Carsharing services have a significant potential for improving urban mobility by increasing the independence and freedom of travel and reducing traffic externalities. Although carsharing has been used for over a decade, several aspects need further investigation, such as the impact of user’s psychological factors on service use, as well as the factors impacting users’ choices between different carsharing operators, in particular their preferences for different payment schemes, and their perceptions of the operators’ application rating. Accordingly, four hybrid choice models (HCM) were estimated to investigate factors impacting (i) the knowledge about carsharing services, (ii) carsharing adoption, (iii) the shift from other modes to carsharing, (iv) the choice between carsharing operators with different payment schemes, using a large survey sample (N = 1044 responses 9469 SP observation) from Munich, Germany. The models showed the significance of sociodemographics, such as income level, education level, household size, employment status, ownership of a bike, access to a car, the availability of a driving license, and public transport subscription-based tickets on the carsharing use directly and indirectly, and four psychological factors encompassing different personality traits (i.e., adventurous), travel behavior, and attitudes were found to be significant in the various models; the latter covered service-related attitudes (perceived carsharing app importance) and travel behavior attitudes or profiles (frequent public transport user and frequent shared micromobility user). This research raises questions regarding the inequitable use of carsharing, the impacts of mobile applications on using the service, and the potential of integrating carsharing in mobility as a Service platforms to increase the potential for multimodality.

汽车共享服务通过提高出行的独立性和自由度以及减少交通外部性，在改善城市交通方面具有巨大潜力。尽管汽车共享已经使用了十多年，但有几个方面需要进一步研究，例如用户心理因素对服务使用的影响，以及影响用户在不同汽车共享运营商之间选择的因素，特别是他们对不同支付方案的偏好，以及他们对运营商应用评级的看法。因此，估计了四种混合选择模型（HCM），以调查影响以下因素的因素：（i）有关汽车共享服务的知识，（ii）汽车共享的采用，（iii）从其他模式向汽车共享的转变，（iv）汽车共享运营商之间的选择不同的支付方案，使用来自德国慕尼黑的大量调查样本（N = 1044 个回复 9469 个 SP 观察）。这些模型显示了社会人口统计数据的重要性，例如收入水平、教育水平、家庭规模、就业状况、自行车拥有量、汽车使用情况、驾驶执照的可用性以及公共交通订阅票对汽车共享的使用直接和间接，并且发现涵盖不同性格特征（即冒险）、旅行行为和态度的四个心理因素在各种模型中都很重要；后者涵盖与服务相关的态度（感知汽车共享应用程序的重要性）和出行行为态度或概况（频繁的公共交通用户和频繁的共享微型交通用户）。 这项研究提出了有关汽车共享的不公平使用、移动应用程序对使用该服务的影响以及将汽车共享集成到移动即服务平台以增加多模式潜力的潜力等问题。