  Mobility-as-a-Service (MaaS) is a paradigm that encourages the shift from
private cars to more sustainable alternative mobility services. MaaS provides
services that enhances and enables multiple modes of transport to operate
seamlessly and bringing Multimodal Intelligent Transport Systems (M-ITS) closer
to reality. This requires sharing and integration of data collected from
multiple sources including modes of transports, sensors, and end-users' devices
to allow a seamless and integrated services especially during unprecedented
disturbances. This paper discusses the interactions among transportation modes,
networks, potential disturbance scenarios, and adaptation strategies to
mitigate their impact on MaaS. We particularly discuss the need to share data
between the modes of transport and relevant entities that are at the vicinity
of each other, taking advantage of edge computing technology to avoid any
latency due to communication to the cloud and privacy concerns. However, when
sharing at the edge, bandwidth, storage, and computational limitations must be
considered.
