solutions in the fields of connected and automated transport, shared
mobility, inter-modality, etc. are being deployed or tested for
wide-scale implementation, re-shaping mobility and affecting the
operation and business models of the transport sector. These changes
result in the emergence of new stakeholders and services, new types of
data (in particular ‘Big Data’), new risks and socio-economic impacts.
effective integration of disruptive technologies and solutions in the
transport system, and policy design relies strongly on the capability to
analyse, monitor and, assess mobility solutions and their potential
socio-economic impact. However, current methodological tools, databases
and models are not adapted to meet new research needs – including for
electric mobility - resulting in growing knowledge gaps. In particular,
many of the new knowledge needs require additional data, new data
collection and management approaches, as well as new methods and tools
to exploit the new types of data (in particular ‘Big Data’).