Time series analysis of shared mobility services usage

Abstract

The sharing economy refers to an economic system where individuals or entities share resources, assets, or services directly with others, facilitated by an online platform. The asset which is “shared” in the sharing economy and which attracts the attention of various stakeholders is mobility. Shared mobility services, encompassing various modes such as ride-sharing, bike-sharing, scooter-sharing, and carpooling, have emerged as pivotal components of urban transportation systems worldwide. As the shared mobility market is expanding in both developed and developing countries, it is of interest to analyse and predict the usage of shared mobility vehicles. As a case study, we will use ARIMA time series modelling to model the shared scooter usage in Bern, Switzerland. Our study provides insights into the temporal dynamics of shared mobility services, offering valuable implications for urban transportation policy, planning, and management.