Deliverable 3.1 Case Study Methodology

This deliverable presents a methodology for conducting case studies in transport big data and a structured approach for how the case studies will elucidate constructive information and recommendations on the prerequisites of successful big data implementation in the transport sector from a socio-economic perspective. 

These case studies will involve organisations actively using big data for specific purposes and enable LeMO to understand strategies, actions and changes in behaviour associated with big data and identify their resultant merits and demerits. The LeMO case studies will produce evidence-based, clear and precise questions based on rigorous knowledge that illuminate opportunities, problems and viable solutions to be further investigated in the LeMO roadmap.

This deliverable will be a manual for the project partners during the selection and carrying out of case studies in LeMO project.