Eco-friendly integration of shared autonomous mobility on demand and public transit based on multi-source data

Published: 01 Jan 2025, Last Modified: 11 Apr 2025Inf. Fusion 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Multisource data was used to capture travel demand in Shanghai, China.•Various relationships between SAMoD and multimodal PT services were considered.•LCA was applied to assess energy consumption and greenhouse gas emissions.•A multi-objective model was developed to balance efficiency and sustainability.•Empirical case study provided insights for developing countries.
Loading

OpenReview is a long-term project to advance science through improved peer review with legal nonprofit status. We gratefully acknowledge the support of the OpenReview Sponsors. © 2025 OpenReview