Cost, Energy, and Environmental Impact of Automated Electric Taxi Fleets in Manhattan
Authored by Gordon S Bauer, Jeffery B Greenblatt, Brian F Gerke
Date Published: 2018
DOI: 10.1021/acs.est.7b04732
Sponsors:
United States Department of Energy (DOE)
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
Shared automated electric vehicles (SAEVs) hold great promise for
improving transportation access in urban centers while drastically
reducing transportation-related energy consumption and air pollution.
Using taxi-trip data from New York City, we develop an agent-based model
to predict the battery range and charging infrastructure requirements of
a fleet of SAEVs operating on Manhattan Island. We also develop a model
to estimate the cost and environmental impact of providing service and
perform extensive sensitivity analysis to test the robustness of our
predictions. We estimate that costs will be lowest with a battery range
of 50-90 mi, with either 66 chargers per square mile, rated at 11 kW or
44 chargers per square mile, rated at 22 kW. We estimate that the cost
of service provided by such an SAEV fleet will be \$0.29-\$0.61 per
revenue mile, an order of magnitude lower than the cost of service of
present-day Manhattan taxis and \$0.05\$0.08/mi lower than that of an
automated fleet composed of any currently available hybrid or internal
combustion engine vehicle (ICEV). We estimate that such an SAEV fleet
drawing power from the current NYC power grid would reduce GHG emissions
by 73\% and energy consumption by 58\% compared to an automated fleet of
ICEVs.
Tags
Market
Operations
United-states
Ion batteries
Greenhouse-gas emissions
Air-quality impacts
Charging infrastructure
Vehicle fleet