  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.
