LeMO Policy issues, opportunities and barriers in big data-driven transport Workshop at EBDVF 2018, Vienna

1. Leveraging Big Data to Manage Transport Operations
LeMO Project Overview
Rajendra Akerkar
Vestlandsforsking, Norway
EBDVF 2018 Vienna

2. Transport themes
EBDVF 2018 Vienna
Transport
themes
Evaluation
Policy
TechnologySector
Mode
Passenger transport
Freight transport
Long-term perspectives
Decision support methodologies
Rebound effects
Economic and regional impacts
Accessibility and social impacts
Air
Rail
Road
Urban
Water
Multimodal
Financing, pricing and taxation
Regulation, competition and public services
Infrastructure
Transport planning
Climate policy and energy efficiency
Security and safety
International & EU cooperation
Awareness information and user rights
Intelligent transport systems
Innovative technologies
Transport management

3. Route for policy & research roadmap
EBDVF 2018 Vienna
WP1:
Context
setting
WP2:
Literature
review
WP3:
Case studies
WP4:
Trend analysis
&road‐mapping
WP5:
Shared value

4. Big data issues
Technological
•Store and
maintain data
•Present results
in a clear visual
way
•Distributed
environment
•Real‐time
analytics
•Benchmarking
Economic
•Lift to the
economy
•Innovation
•Data
professionals
•Smaller actors
left behind
•Shrink
economies
•Growth of
industry
Legal
•Privacy & Data
protection
•Data ownership
•Copyright
•Cyber security
•Data Breach
•Anonymization
•Intellectual
property
•Open data
Policy
•Open data policy
•Policy difference
between public
and private
sectors
•Open access of
big data in public
sector
•Big data
business model
for private
sector
•National policy
Social & Ethical
•Transparency
•Discrimination
•Spurious
relationships
•Consumer
manipulation
•Surveillance
•Free will & Trust
•Trade‐off effect
•Personal data
ownership
Political
•Government
compartmentaliz
ation
•Services have
become utilities
•Legal issues
become trade
issues
•Big data in
international
relations
EBDVF 2018 Vienna

5. Case studies – Overview (1)
Issues to be addressed: innovation in infrastructure,
efficiency in transport routes, resource management and
supply chain, environmental impacts, vulnerability in
potential crisis and data protection.
Issues to be addressed: enabling ‘mass
mobilisers’ (training journalists and civic
groups) to disseminate and make data
understandable by the general public, not just
data scientists.
Rail transport data
Open data and
transport sector
EBDVF 2018 Vienna

6. Case studies – Overview (2)
Issues to be addressed: discuss a methodology to estimate
passenger demand for public transport services using
social media and mobile phone data
Issues to be addressed: innovative big data
acquisition procedures; test the capability to
reach an alternative, less expensive and faster
administrative procedure of acquiring
stakeholder‐specific big data
Real‐time traffic
management
Logistics and
consumer preferences
EBDVF 2018 Vienna

7. Case studies – Overview (3)
Issues to be addressed: Use Inland
AIS to track vessel movements in
and around locks
Smart inland
shipping
Big data and
intelligent
transport systems
Optimized transport
and improved
customer service
Issues to be addressed: explore
various network models for efficient
transportation planning that
eliminates service delays
Issues to be addressed: Multimodal,
multiagency approach to provide
useful suggestions on the
prerequisites of successful big data
implementation in ITS
EBDVF 2018 Vienna

8. LeMO project key outputs
• Define research efforts and policy measures necessary for responsible
participation in the big data economy by enhancing the economic
sustainability and competitiveness of European transport sector
• Identify methodological, technological, governmental and institutional
issues, which in turn contribute to evidence‐based decision making
• Amplify opportunities
• Diminish barriers and limitations
• Roadmap
• Research Roadmap
• Policy Roadmap
EBDVF 2018 Vienna

9. How should you contribute to our research?
We seek your support on documented information on projects you
carried out, and on Big Data tools, technologies and methods that you
used. By obtaining your participation and feedback we will improve our
knowledge about the problems, opinions and perceptions of Big Data
in Transport.
PARTICIPATE IN OUR INITIAL SURVEY FOR ROADMAPPING
https://lemo‐h2020.eu/case‐studies/
EBDVF 2018 Vienna

10. Thank you!
https://lemo‐h2020.eu/
@LeMO_H2020
Project coordinator: Rajendra Akerkar rak@vestforsk.no
EBDVF 2018 Vienna