D2.2 Defining requirements for analysis methods and data for case studies


These three case studies are intended to provide examples to show how some of the main analysis needs identified in D2.1 might be addressed. In terms of data analysis, they cover different combinations of data. Case study 1 on electric goods vehicle charging combines operational patterns of HGVs with electric charging infrastructure system design. Case study 2 on city distribution combines city morphology and household data with logistic networks and transport activity data. Case study three combines qualitative scenario assessment of digitalised logistics systems with aggregated digitalised logistic systems characteristics. The cases cover city region and EU geographical levels.
The specifications of the analyses and development of the analysis methods will be developed in WP4 of the STORM project. The methodologies will be applied in the case studies in WP5.
This report builds on D2.1 ‘Assessment of new needs and knowledge analysis gaps, defining requirements for analysis methods and data’. It has two objectives:

  1. Use the results of D2.1 ‘Assessment of new needs and knowledge analysis gaps, defining requirements for analysis methods and data’ to specify the requirements for case studies. Knowledge gaps in current analysis methods and policy assessment will be identified and based on the knowledge gaps, case studies will be defined.
    The research questions for the cases are defined and the logic of how they are derived from D2.1 explained. The requirements for the analyses are specified.
  2. Initial proposals for analysis methods and data requirements for the cases are given.
    This report provides the basis for further work in WP4, in which the analysis methods and data are described and WP5 in which the case studies are performed. This current report is therefore an intermediate step in the flow of the work programme of the STORM project, to identify needs, propose model and analysis developments and undertake some illustrative, small scale pilot studies for such analyses.