Modelling of micro-mobility (M3)

In recent years, cities have experienced the arrival of the so-called fourth generation of micromobility services. These systems involve two main technical improvements: dock-free safety systems and electric power assistance. These remove the need for infrastructure, provide more flexibility in terms of travel start and finish points, and increase speeds and expand potential demand as physical constraints for users in certain environments decrease. This type of micromobility services has spread rapidly, primarily based on the e-scooter. Most of the increase in micro-mobility travel comes from shared e-scooter services, which makes it very important to address their effects on, among other things, travel behavior, sustainability, safety and the utilization of urban space.

Many cities have implemented various types of measures to regulate the disordered image that results from e-scooter travel and parking. The companies work to improve the efficiency of the services from an environmental perspective. However, the purpose of this project is first and foremost to create a better understanding of how people use the service and what their travel patterns look like, in order to identify the type of travel that constitutes the market niche in total mobility. This analysis will provide
several outputs that can help improve service design strategies: geographic areas, spatial and temporal distribution of scooters, or fleet sizing.