Facilitating sustainable development of sharing micro-mobility and transit multi-modal transport systems (eFAST)
Research Project, 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.
Participants
Kun Gao (contact)
Chalmers, Architecture and Civil Engineering, Geology and Geotechnics
Ruo Jia
Chalmers, Architecture and Civil Engineering, Geology and Geotechnics
Yang Liu
Chalmers, Architecture and Civil Engineering, Geology and Geotechnics
Marina Wiemers
Chalmers, Architecture and Civil Engineering, Geology and Geotechnics
Collaborations
RISE Research Institutes of Sweden
Göteborg, Sweden
Funding
Swedish Energy Agency
Project ID: P2022-00414
Funding Chalmers participation during 2022–2024
AoA Transport
Funding Chalmers participation during 2022–2023
Related Areas of Advance and Infrastructure
Information and Communication Technology
Areas of Advance
Sustainable development
Driving Forces
Transport
Areas of Advance
Energy
Areas of Advance
C3SE (Chalmers Centre for Computational Science and Engineering)
Infrastructure