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

Published: 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.
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