The expected convenience of mobility-as-a-service (MaaS), which integrates travel modes and related services into a single platform, has generated considerable research interest. Maas could bring attention to intermodal options that involve transfers between transport modes, and users’ preference depends on the level-of-service of the transport mode and their daily travel behavior. This study aims to explore whether and how users’ preference to intermodal options under MaaS is heterogeneous between private car users and public transportation users. To achieve the goal, we design a stated preference survey assuming daily commute trips in the Seoul metropolitan area. An integrated choice latent variable model is used to gain a comprehensive understanding of individuals’ psychological attitudes. The results show that people’s latent attitudes toward MaaS significantly vary depending on socio-economic characteristics (gender and household income) and workplace environments (worktime flexibility and dress code flexibility). Moreover, even if consumers are of the same socio-demographics, the preference for MaaS could be different by the transportation mode they habitually use. In the end, the comparative analysis in this study provides new insights to better understand demand of MaaS. To make the intermodal options attractive to the private car users, the operator should try to minimize the resistance to transfers in the intermodal options under MaaS. Otherwise, for the public transportation users, it would be important for them to propose shorter travel time in the intermodal options under MaaS.

将出行方式和相关服务集成到一个平台中的移动即服务（MaaS）的预期便利性引起了广泛的研究兴趣。Maas可以提请注意涉及运输方式之间转换的联运方式，而用户的偏好取决于运输方式的服务水平及其日常出行行为。这项研究旨在探讨在MaaS下用户对联运选项的偏好是否以及如何在私人汽车用户和公共交通用户之间产生异质性。为了实现这一目标，我们设计了一项明示的偏好调查，假设在汉城市区每天进行通勤旅行。综合选择潜变量模型用于获得对个人心理态度的全面理解。结果表明，人们对MaaS的潜在态度会根据社会经济特征（性别和家庭收入）和工作环境（工作时间的灵活性和着装要求的灵活性）而显着不同。而且，即使消费者具有相同的社会人口统计学特征，MaaS的偏好也会因他们惯用的运输方式而有所不同。最后，本研究中的比较分析提供了新的见解，可以更好地了解MaaS的需求。为了使多式联运选择权对私家车用户有吸引力，运营商应尝试在MaaS下尽量减少对多式联运选择权的抵制。否则，对于公共交通用户而言，对他们而言，在MaaS下的多式联运方案中建议缩短旅行时间非常重要。