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.
Deltagare
Kun Gao (kontakt)
Chalmers, Arkitektur och samhällsbyggnadsteknik, Geologi och geoteknik
Ruo Jia
Chalmers, Arkitektur och samhällsbyggnadsteknik, Geologi och geoteknik
Yang Liu
Chalmers, Arkitektur och samhällsbyggnadsteknik, Geologi och geoteknik
Marina Wiemers
Chalmers, Arkitektur och samhällsbyggnadsteknik, Geologi och geoteknik
Samarbetspartners
RISE Research Institutes of Sweden
Göteborg, Sweden
Finansiering
Transport
Finansierar Chalmers deltagande under 2022–2023
Energimyndigheten
Projekt-id: P2022-00414
Finansierar Chalmers deltagande under 2022–2024
Relaterade styrkeområden och infrastruktur
Informations- och kommunikationsteknik
Styrkeområden
Hållbar utveckling
Drivkrafter
Transport
Styrkeområden
Energi
Styrkeområden
C3SE (Chalmers Centre for Computational Science and Engineering)
Infrastruktur