Data-driven innovation has the potential to enhance resource efficiency and productivity, economic competitiveness, and social well-being as it begins to transform all sectors in the economy. Big Data will have profound economic and societal impact on mobility and logistics. Mobility and logistics is one of the most-used industries in the world – contributing to approximately 15% of GDP (source: KLU) and to employment of around 11.2 million persons in EU-28, i.e. some 5.0 % of the total workforce (source: DG MOVE). There are huge untapped opportunities for improving operational efficiency, delivering improved customer experience, and creating new business processes and business models, yet only 19% of EU mobility and logistics companies currently employ Big Data solutions as part of value creation and business processes (source: PWC). The mobility and logistics sector is ready to exploit Big Data solutions to significantly increase the EU market in the mobility and logistics sector.
TransformingTransport intends to demonstrate, in a realistic, measurable and replicable way the transformative effects that Big Data will have to the mobility and logistics market. To this end, TransformingTransport will pursue the following main objectives:
• Objective O1 “Piloting”: Execute effective large-scale piloting and targeted demonstrations of the transformative nature that existing and very-near-to market big data technologies can bring about in the mobility and logistics sector by covering all relevant modes of transport, as well as multi-modal and transversal processes with strong impact and relevance of Big Data solutions.
• Objective O2 “Value”: Show concrete, measurable and verifiable evidence of data value that can be achieved in mobility and logistics in terms of significant increase in (i) operational efficiency of processes and services by at least 15%, (ii) improved customer experience, and (iii) new business models for the mobility and logistics sector.
• Objective O3 “Reusability”: Demonstrate the generic nature of Big Data solutions developed by TransformingTransport by showing how they may be reused (including with adaptation) and replicated across use cases and application domains.
• Objective O4 “Scalability”: Ensure that the Big Data solutions developed in TransformingTransport will work at the scale of the anticipated mobility and logistics processes, as well as data volume and velocity at the end of the TransformingTransport project, which means more than 55.000 GB, more than 25 GB/day and more than 20 different data sources on average per pilot by the year 2020.
• Objective O5 “Engagement”: Engage at least 120 key European industry actors – both large and SME, as well as both Big Data providers and Big Data users – and relevant public bodies in sectorial trials and demonstrations of TransformingTransport.
• Objective O6 “Transfer”: Implement effective knowledge transfer, dissemination and uptake of lessons learned and best practice examples, as well as standardization and policy recommendations to facilitate doubling the use of Big Data solutions in the mobility and logistics sector from the currently 19% to at least 38%.
• Objective O7 “Market Impact”: Strengthen both the position of EU Big Data providers as well as sectorial companies to engage in bids and business opportunities within the mobility and logistics market by combining sectorial, domain expertise with ICT knowledge, ultimately fostering an increase of market share of up to 600% (72% on average) and/or absolute market share of up to 12%.
• Objective O8 “Sustainability”: Set up a strong plan for sustainability actions to ensure availability and lasting impact of the TransformingTransport outcomes during the funding period of the Big Data Value PPP and beyond.
• Objective O9 “Mobilisation”: Mobilise verifiable commitment to additional sector investments in data assets and big data technologies, which reach a leverage factor of at least 6 times the EC contribution.
