Register for the LeMO Project Webinar to be held on February 27, 2019

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The first edition of the H2020 LeMO project webinar will be held on 27 February 2019 at 14.00 CET.

To register for the webinar, please click the following link. You will then receive an email confirmation with the link to join the webinar. Registration is free and open to anyone.

The webinar will introduce you to the LeMO project that investigates the implications of the utilisation of big data to enhance the sustainability and competitiveness of European transportation. The project analyses big data in the European transport domain with respect to five transport dimensions: mode, sector, technology, policy and evaluation. LeMO accomplishes this by conducting a series of case studies, to provide recommendations on the prerequisites of effective big data implementation in transportation. The webinar also includes presentations of two other EU projects focussing on big data in the transport sector, namely NOESIS and TransformingTransport.

Agenda

  1. Introduction to the LeMO project

  2. Presentation of results on technological and methodological issues

  3. Presentation of results on legal, societal and ethical issues

  4. Presentation of results on policy, political and economic issues

  5. Two LeMO case studies

  6. Presentation of the NOESIS project

  7. Presentation of the TransformingTransport project

  8. Wrap-up

4th LeMO Project Meeting held in The Netherlands on 26-27 November 2018

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.

Deliverable 2.4 on Trade-Off from the Use of Big Data in Transport

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.