Modeling 100% Electrified Transportation in NYC
Jingrong Zhang, Amber Jiang, Brian Newborn, Sara Kou, Robert Mieth

TL;DR
This paper models the electric energy demand of NYC's transportation sector under full electrification, highlighting infrastructure needs and policy impacts using socio-economic and geographic data.
Contribution
It introduces a comprehensive model combining demographic, geographic, and technical data to assess electrified transportation scenarios in NYC.
Findings
Infrastructure investments are essential for full electrification.
Flexible charging policies can optimize energy demand.
Promoting micromobility and mass transit benefits energy efficiency.
Abstract
Envisioning a future 100% electrified transportation sector, this paper uses socio-economic, demographic, and geographic data to assess electric energy demand from commuter traffic. We explore the individual mode choices, which allows to create mode-mix scenarios for the entire population, and quantify the electric energy demand for each scenario using technical specifications of battery and electric drives technology in combination with different charging scenarios. Using data sets for New York City, our results highlight the need for infrastructure investments, the usefulness of flexible charging policies, and the positive impact of incentivizing micromobility and mass-transit options. Our model and results are publicly available as interactive dashboard.
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Taxonomy
TopicsElectric Vehicles and Infrastructure · Urban Transport and Accessibility · Transportation and Mobility Innovations
