The H2020 LeMO project webinar took place on 27th February 2019. You can find the presentations on our YouTube channel:
The forth LeMO project meeting was held in Zoetermeer (The Netherlands) on the 26th and 27th of November 2019. All partners gathered to discuss the advancement of the project and the tasks ahead.
The day started with a welcome note by the host (Panteia) and a presentation of the project progress so far by the coordinator (WNRI) and continued with a presentation of the main WP2 achievements by respective Task leaders.
The coordinator of the NOESIS project (Ortelio) also attended the meeting and presented the NOESIS project and its ongoing work on Big Data in Transport Library. Opportunities for collaboration between the two projects were further discussed.
After the end of a very fruitful discussion on dissemination activities LeMO consortium discussed the results of the first year dissemination and the plan for next steps. First LeMO webinar planned for February 2019. The partners discussed the tentative agenda for the webinar and agreed on inviting NOESIS and two Case Study providers for short presentation in the webinar.
The second day of the meeting focused on a discussion on case studies in WP3. All partners discussed the progress of the running work package (WP3) and presented their plan for the case studies and related interviews that are about to begin in January 2019.
In this report different types of rebound effects are addressed. This encompasses direct and indirect rebound effects, as well as society-wide, or overall rebound effects. Further different application areas of rebound effects are presented. They cover rebound effects in connection with energy efficiency measures and climate gas reduction measures, as well as in connection with measures aimed to reduce other environmental pollutants. Critique of the rebound effects is also presented. We then turn to strategies to mitigate the rebound effect and suggest approaches for assessment of rebound effects from the use of big data in transport. Two very different approaches are presented, that either focus on 1) the ICT-infrastructure or 2) the transport system. The two approaches are addressed in the two following chapters, first in the analysis of rebound effects from ICT and cloud computing (Chapter 5), then in connection with the LeMO case studies (Chapter 6). Passenger transport and freight transport are dealt with separately, also in connection with the various transport modes: road, rail, water and urban transport. The purpose of the chapter 7 is to map the aspects that may be relevant for further research in LeMO case studies and may be further elaborated in the next project phase in a report with consolidated case study findings.
On 13 November 2018, a member of the LeMO project team, Maruša BENKIC, attended a project meeting of its sister-project, on Big Data under the Horizon 2020 programme, NOESIS. The meeting was held at the premises of the JRC in Seville.
NOESIS (Novel Decision Support tool for Evaluating Strategic Big Data investments in Transport and Intelligent Mobility Services) aims at improving understanding about the impact of big data, with the final goal to develop a Decision Support tool which will be able to assess the potential of big data investments in transport. The project has been developing the Big Data in Transport Library (BDTL), the first collection of Big Data use cases in Transport.
The meeting started with a presentation of the NOESIS project by the coordinator (Ortelio) and continued with the overview of the main achievements so far. The NOESIS consortium was informed about the progress of LeMO and the deliverables produced so far. During the very successful and fruitful meeting, the teams discussed possibilities for synergies between the two projects and identified concrete opportunities to share the research outcomes and combine their efforts in effectively disseminating the project results.
LeMO project has co-organised a workshop on "Policy issues, opportunities and barriers in big data-driven transport" at EBDVF 2018. The workshop was organised in cooperation with the BDVA Mobility & Logistics Subgroup & the TransformingTransport project on 14 November at Siemens Conference Center, Vienna. Considering the objectives of the LeMO and TransformingTransport projects, the interaction with industry experts is fundamental to challenge and validate the findings.
LeMO Coordinator, Rajendra Akerkar (WNRI) presented an overview of the LeMO project and described progress so far. Tharsis Teoh (Panteia) presented an analysis of the economic and political issues that are relevant to big data in transport. Further, Jasmien César (Bird & Bird) and Tharsis Teoh (Panteia ) reviewed policies supporting or restricting the (re‐) use, linking of and sharing of data in the transport sector. They described the work done on public and private policy issues in the first phase of the project. Jasmien César (Bird & Bird) also presented an analysis of various legal issues relevant to utilisation of big data in managing transport operations.
Adrián Irala Briones (INDRA) presented TransformingTransport project and big data challenges in the transport sector.
Akrivi Vivian Kiousi (INTRASOFT, TT) gave a brief summary of examples / Policy contribution topics highlighted by TransformingTransport Lighthouse project.
We invited representatives from key running Horizon 2020 projects in order to attempt to ensure cooperation and collaboration for a policy roadmapping activity. The following projects participated in the session:
Track and Know (Big Data for Mobility Tracking) - Dr Ibad Kureshi (INLECOM)
BigData Ocean (Maritime) - Dr Michele Osella (NTUA)
ICARUS (Aviation) - Dr Fenareti Lampathaki (SUITE5)
AEGIS (Public Safety and Personal Security) - Mr Perkakis (UBI) TBD
QROWD (Innovative Solutions to improve mobility and reduce traffic congestion) - Dr Luis-Daniel Ibáñez (SOTON)
CERTH (Results of Smart Mobility Living Lab providing cooperative services to passengers and freight respectively). - Josep Maria Salanova (CERTH)
We further reached out to the audience to gather valuable feedback that aims in the formation of a policy roadmap relating to the topics identified for big data in transport.
Ultimately, the results of the workshop, as fed by experts (including attendees of EBDVF 2018), will enable the identification of industry-led recommendations to (EU) policymakers in relation to big data, with a focus on the transport sector driving a roadmap creation activity to be fed by big data specialists and to validate, clarify, complement and/or challenge the identified opportunities, barriers and limitation to exploit big data.
Mrs Akrivi Vivian Kiousi of TransformingTransport project played a role of moderator in this workshop.