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Mobility as a Service (MaaS), as an emerging concept, is quickly evolving andat the same time irreversibly reshaping travellers behaviour by facilitatingtheir accessibility to different transport modes using shared economy concepts.Managing the complex multimodal and intermodal system of quickly emerging MaaS,requires a holistic modelling framework of transport network incorporating allthe influential aspects and means involved. In this paper, we mathematicallyformulate a novel MaaS-based activity travel pattern (ATP) generator tofacilitate ridesharing in a system in which drivers and passengers interact bysharing their full activity diary. The proposed formulation extends thedefinition of MaaS beyond an intermodal trip planner, by incorporating aninclusive set of travel attributes including the choices of activity, activitysequence, departure time, and mode, and the transitions among the modes in ATPsof all participants. Furthermore, this paper introduces a dynamicrideshare-oriented MaaS model in which the conventional rideshare modellingstructure is synchronised with the proposed MaaS-based ATP generator in aunified structure. These models explicitly bridge the gaps in the missed-outconnection between ATPs planning and rideshare models in the currentliterature. At last, numerical examples are provided to demonstrate thesignificant impacts of the MaaS-based planning on the ridesharing systemsperformance.

Ridesharing in the era of Mobility as a Service (MaaS): An Activity-based Approach with Multimodality and Intermodality