Navigating urban mobility: Clustering European cities based on shared vehicle systems complexity

The evolution of sharing economy and sustainability-focused
\nmodels, driven by digital innovation, has prompted extensive research to dissect
\ntheir essential components. Consequently, shared vehicle systems (SVS) and
\nbusiness models promote efficient and sustainable urban mobility by providing
\ncollaborative and accessible transportation solutions. This study aims to
\nsegment 173 European cities based on the number of bikes, cars, scooters and
\nmopeds available to share via platforms, alongside population and area coverage
\nmetrics. The results should indicate which cities lead the way and the available
\nshared vehicle portfolio in the leading ones. As a segmentation algorithm,
\nK-means was chosen. Three clusters emerged: townies comprises 151 smnaller
\ncities with abundant cars, solaris occupies solely Paris whose scores are the
\nleading ones, while capitalis includes 21 larger cities excelling in the number
\nof scooters. Significant disparities between clusters underscore the need for
\nsustainable urban mobility strategies. The results unravel distinctness among
\nSVS in European ities, providing valuable insights for future developments in
\nurban mobility transformations.