Facilitating sustainable development of sharing micro-mobility and transit multi-modal transport systems (eFAST)

Forskningsprojekt, 2022 – 2024

Transformation towards energy-effective transport requires new transport mode integration, urban planning at the system level and travel behavior changes. This project leverages big data analysis methods, machine learning, and the massive usage data from shared micro-mobility for quantitative analysis on sustainability impacts. The project will reveal the relationships between shared micro-mobility services and transit networks (as well as other transport modes) under different contexts, and the determining factors on sustainability of shared micro-mobility with data-driven quantitative methods. The results, in combination with user behavior modeling, will then be used for developing joint planning and optimization methods for integrating micro-mobility and transit  networks to maximize sustainable impacts. The project targets system impacts that go beyond existing studies on single transport modes and focuses on generating quantified scientific evidence, as well as planning and optimization tools to support decision-making.