We explore the implications of automated mobility-on-demand (AMoD) services in dense, transit-oriented cities through a comprehensive simulation in the prototype city of Tel Aviv. Our high-fidelity study reveals that while AMoD initially contributes to increased congestion and vehicle travel, integration with public transit and measures to reduce car ownership effectively mitigate these impacts. The analysis emphasizes the importance of policies targeting decreased car ownership for more efficient energy consumption and reduced greenhouse gas emissions in urban mobility.
Sustainable Automated Mobility-On-Demand Strategies in
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