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Big Data in Transport: Gaps and Opportunities

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The aim of this presentation is to present the main gaps and opportunities that exist in the Big Data in Transport domain. The results of this presentation are part of NOESIS project (https://noesis-project.eu).
NOESIS project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 769980.

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Big Data in Transport: Gaps and Opportunities

  1. 1. Ilias Trochidis Ortelio Ltd it@ortelio.co.uk Big Data in Transport – Gaps and opportunities
  2. 2. NOESIS project has received funding by the Horizon 2020 research and innovation programme of the European Union (No 769980). NOESIS (Novel Decision Support tool for Evaluating Strategic Big Data Investments in Transport and Intelligent Mobility Services) - Action: CSA - Duration: 24 months project (Nov 2017 – Oct 2019) - Consortium: 8 partners - EC funding: 1.5M - Website: https://noesis-project.eu
  3. 3. www.ortelio.co.uk The outcomes of this research are based on:  Extensive research conducted in the literature where there is a number of scientific articles and blog posts mentioning Big Data in transport use cases.  NOESIS Big Data in Transport Library (the Big Data in transport use cases that have been reported by NOESIS partners).  EU funded projects in transport. Big Data in Transport - Gaps and opportunities CIVITAS Forum 2019, Graz 3 October 2019 3 https://noesis-project.eu/toolbox
  4. 4. www.ortelio.co.uk A growing number of technology companies and start-ups have started developing Big Data tools focused in the transportation sector. New business models have emerged. A growing number of transport organisations have started utilizing Big Data tools in order to:  offer better services to customers,  improve efficiency,  reduce organisational costs,  understand how their system is performing,  assess the impact of a policy/program/project,  identify and respond to issues in real-time,  make shorter-term predictions based on incidents, weather etc.,  to make smarter prioritization of policies and investments. Big Data in Transport landscape CIVITAS Forum 2019, Graz 3 October 2019 4
  5. 5. www.ortelio.co.uk Data size grows tremendously every day, but not all transport organisations use it to derive insights and make decisions. Potential of Big Data not yet fully realized CIVITAS Forum 2019, Graz 3 October 2019 5 What are the gaps and opportunities when developing Big Data in Transport solutions?
  6. 6. www.ortelio.co.uk  Lack of data or data difficult to find: In transportation, data collection and dissemination is often fragmented and inconsistent.  Lack of collaboration and sharing: Partnerships and synergies are needed with public or private data providers and with other transport authorities.  Data ownership: related to the previous one, this gap deals with the fact that many organisations do not share their data.  Potential of open data not fully realized Gaps in the Big Data in transport domain CIVITAS Forum 2019, Graz 3 October 2019 6
  7. 7. www.ortelio.co.uk  Lack of skilled technical personnel to make data accessible: There are important technical challenges to make datasets available and to develop insights from these datasets.  Lack of data infrastructure: The secure storage, management and analysis of Big Data requires investment both in hardware and in software. Gaps in the Big Data in transport domain CIVITAS Forum 2019, Graz 3 October 2019 7
  8. 8. www.ortelio.co.uk  Lack of standards: There is a lack of standards to data formats and structures for many types of data relevant to transport.  Data privacy: There is a concern by transport authorities that creating data and making data available (even in anonymised form) may violate the GDPR (General Data Privacy Regulation). Gaps in the Big Data in transport domain CIVITAS Forum 2019, Graz 3 October 2019 8
  9. 9. www.ortelio.co.uk  Business opportunities: Big Data can help organisations (SMEs, large organisations, transport authorities) gain a competitive advantage.  Collaboration: In the Big Data for transport sector there is a certain opportunity for collaboration between transport providers, businesses, research centres and software developers.  MoU with data providers is needed: despite the challenges, integrating datasets through public-private data sharing can offer clear advantages.  Transferability: refers to the potential of transferring Big Data from one context of application to be used in other contexts. Opportunities CIVITAS Forum 2019, Graz 3 October 2019 9
  10. 10. www.ortelio.co.uk  Development of predictive models: until now most data analysis efforts have focused on analysing the past to plan a better future. Now there is growing need to develop predictive models.  Skilled personnel: Opportunities for Big Data application developers and Big Data experts.  Opening data to boost economy: Transportation related data could and should be made publicly available to organisations and consumers when there is no risk of data privacy being compromised. Opportunities CIVITAS Forum 2019, Graz 3 October 2019 10
  11. 11. www.ortelio.co.uk  More than 15,000 open data users are currently registered to TfL’s API  More than 650 apps have been developed based on the open data provided  These apps are regularly being used by 42% of Londoners  In 2017, research commissioned by TfL and conducted by Deloitte, found that the provision of free, accurate and real time open data is helping London’s economy by up to £130 million a year Open data example CIVITAS Forum 2019, Graz 3 October 2019 11
  12. 12. www.ortelio.co.uk  Fall in love with the problem and not with the solution  Create value for customers  Develop a Big Data strategy and a vision that identifies and capitalizes on new opportunities  Build relationships, create partnerships and establish trust with key stakeholders (e.g. transport providers, businesses, research centres and software developers etc.)  Incorporate data privacy and security mechanisms  Implement results quickly as the competition is big but bear in mind that returns on data investments might take time: innovation in transport requires time, and commitment  Understand that different skills needed  Real-time data analytics and predictive models is the future and promises to provide better decision making  Analyse data from multiple, disparate sources and beware of low quality data Business opportunities / recommendations CIVITAS Forum 2019, Graz 3 October 2019 12
  13. 13. Thank you! NOESIS project has received funding by the Horizon 2020 research and innovation programme of the European Union (No 769980). www.ortelio.co.uk Ilias Trochidis it@ortelio.co.uk http://ortelio.co.uk https://noesis-project.eu CIVITAS Forum 2019, Graz 3 October 2019 13

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