Designing MaaS Packages based on User Group Patterns

Abstract

The advancement of technology and the introduction of shared mobility solutions enable the introduction of Mobility as a Service (MaaS), a solution integrating multiple transportation services into a single application. However, current methods for designing MaaS packages often overlook the diversity of traveler groups. This study addresses this research gap by analyzing MaaS adoption using a two-wave survey among university students in Budapest, Hungary, incorporating stated preference experiments. Participants expressed preferences for general or personalized packages, such as PT-micro packages. A mixed logit model was applied to examine choice behavior. The findings reveal that personalized packages significantly enhance MaaS adoption, with all transport modes in PT-micro packages positively influencing uptake. This approach highlights the value of considering traveler heterogeneity, providing useful insights for MaaS operators in designing tailored packages to meet diverse user needs.