Modeling 100% Electrified Transportation in NYC

• URL: http://arxiv.org/abs/2211.11581v2
• Date: Wed, 15 Feb 2023 19:57:10 GMT
• Title: Modeling 100% Electrified Transportation in NYC
• Authors: Jingrong Zhang, Amber Jiang, Brian Newborn, Sara Kou, Robert Mieth
• Abstract summary: This paper proposes a uses socio-economic, demographic, and geographic data to asses electric energy demand from commuter traffic. We quantify the electric energy demand for each scenario using technical specifications of state-of-the-art battery and electric drives technology.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Envisioning a future 100\% electrified transportation sector, this paper proposes a uses socio-economic, demographic, and geographic data to asses electric energy demand from commuter traffic. Additionally, we explore the possible mode choices of each individual, which allows to create mode-mix scenarios for the entire population. We quantify the electric energy demand for each scenario using technical specifications of state-of-the-art 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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