Key performance indicators of the Swiss mobility system

  • 6/16/20 11:30 AM
  • Kirsten Oswald

A systemic approach to research activities within the SCCER Mobility network

Research activities within the SCCER Mobility network constitute different solutions pathways that could promote the sustainable transition of the Swiss mobility system. In order to evaluate the potential relevance of these research directions, it is important to define key performance indicators (KPIs). The Learning Lab – Future Transport Systems (L2-FTS) just finalized this systematic assessment, which was also a requirement of the SCCER Mobility evaluation panel. To fulfil the task, an exploratory approach was used to formulate a list of the KPIs, a summary of the main research concepts within each Capacity Area (CA) and the relevance of these concepts to the KPIs. Expert interviews were chosen as an efficient way for gathering ideas and collecting data.

These interviews were focused on discussions around the primary activities of each group, in order to find the main concepts and their relevance to the selected KPIs of the Swiss mobility system, rated on a scale from 1 (not related or very low relevance) to 4 (clear and highly important relevance). In this respect, the ratings do not reflect the contributions or the results of each project, but rather highlight the relevance of the general topics for a sustainable mobility system in Switzerland. The initial list of KPIs had three indicators: emission reduction, scalability and cost reduction. Based on the discussions, another indicator was added, namely industrial/social implementation.

A total number of 31 experts contributed to the data gathering phase. For each CA, the main concepts, their logical relationships to other concepts and their potential applications were used to formulate the solution pathways. Complementary, a further analysis was carried out to evaluate how the concepts could be grouped based on their relevance to the KPIs and their general subjects. A network of concepts was constructed and cosine similarity, a measure of similarity between each pair of concepts, was used for clustering concepts.

For a list of the main concepts, relevance to the KPIs and the solution pathways for each CA as well as the summary of the four resulting clusters, refer to the link below to download the full report of the project.

KPI Project Report