The potential societal,
environmental and economic benefits of multimodal travel information, planning
and ticketing services are huge. Societal benefits arise from supporting
passenger rights to information, including those with special needs.
Environmental benefits result from itineraries optimised for environmental
criteria and increased use of public transport and other modes, such as cycling
and walking. Economic benefits include new business opportunities for service
providers in a growing market.
EuTravel delivers an Ecosystem
promoting and supporting Optimodal travel which is populated with tools that
tap into existing mainstream IT travel reservation systems and sources of
travel data.
On the road towards achieving its vision, the project EuTravel
demonstrates an innovative multi- modal travel for a party of one or more
travellers. This includes searching for and presentation of synchronised and
‘dependable’ itineraries across different modes, booking, payment, and trip
entitlement issuance termed herewith Optimodal Travel. Optimodal travel implies
that itineraries are constructed according to user preference whilst seeking
optimisation of environmental performance. Environmental impact is presented
with each itinerary option and users are able to order results according to
environmental criteria. Optimodality defined as inter-modal travel optimised
with respect to synchronisation between modes, passenger experience and rights
and environmental performance is the central theme of this project.
Who benefits from the sustainable and open single European market for
multimodal travel services:
- Travel users: easy organise a door-to-door pan-European multimodal trip in accordance with their own set of criteria including environmental performance.
- Service Providers: easy and cost effective way to deliver multi-modal customised services.
- Policy Makers: policy decision making by monitoring EU policy implementation and contributing to the implementation of standards and regulations.
The EuTravel Project has
received funding from the EU’s Horizon 2020 research and innovation programme
under the Grant Agreement No 636148.
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