Shared automated electric vehicles (SAEVs) hold great promise to improve transportation access in urban centers while drastically reducing transportation-related greenhouse gas emissions. Using taxi trip data from New York City, Emerging Futures' Chief Scientist along with colleagues at Lawrence Berkeley National Laboratory and the University of California, Berkeley developed an agent-based model to predict the battery range and charging infrastructure requirements of a fleet of SAEVs operating on Manhattan Island, New York City. We also developed a model to estimate the cost per mile, greenhouse gas emissions and criteria pollutants of providing service, and performed extensive sensitivity analysis to test the robustness of our predictions. Our results appear in the journal Environmental Science and Technology.

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