As part of the younger generation, college students show flexibility in transport mode choice and are more interested in trying alternative mobility solutions. Mobility as a Service (MaaS) has been gaining popularity since it integrates diverse transport mode opportunities into a single digital service. Although studies on transport mode choice of college students are available, the inclusion of shared mobility services in a MaaS concept is scarcely found. This study is an initial effort to examine the heterogeneity in mode choice of a specific user group by incorporating more transport modes while socio-demographic and attitudinal factors are included as covariates in a Latent Class Cluster Analysis (LCCA) modeling framework. This research draws on a survey distributed to students at Budapest University of Technology and Economics (BME), and identifies three clusters of students, where those who are in the first cluster travel by public transport, walking, train, and coach more frequently. The results indicate that university students of the study who are frequent public transport and shared mobility service users are more interested in adopting MaaS, while university students who fall into the car user cluster primarily consists of high-income workers showing the least interest in MaaS and green lifestyle. Future MaaS-related studies could benefit from this study regarding how to design and implement such a survey with a specific focus. Research which draws the sample from the broader population should be undertaken to generalize the findings and to allow constructing policy related statements.

中文翻译：

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基于MaaS理念的高校大学生交通方式选择异质性

作为年轻一代的一部分，大学生在交通方式选择上表现出灵活性，并且更有兴趣尝试其他出行解决方案。移动即服务 (MaaS) 因其将多种交通模式机会集成到单一数字服务中而越来越受欢迎。尽管有关于大学生交通方式选择的研究，但将共享出行服务纳入 MaaS 概念的研究却很少。本研究初步尝试通过纳入更多的交通方式来检验特定用户群体模式选择的异质性，同时将社会人口统计和态度因素作为协变量纳入潜在类别聚类分析 (LCCA) 建模框架中。这项研究基于对布达佩斯科技经济大学 (BME) 学生进行的一项调查，确定了三个学生组，其中第一组的学生更频繁地乘坐公共交通、步行、火车和长途汽车。结果表明，经常乘坐公共交通和共享出行服务的大学生对采用 MaaS 更感兴趣，而属于汽车用户群的大学生主要由高收入工人组成，对 MaaS 兴趣最小，绿色生活方式。未来与 MaaS 相关的研究可以从这项关于如何设计和实施有特定重点的调查的研究中受益。应进行从更广泛的人群中抽取样本的研究，以概括研究结果并允许构建与政策相关的陈述。