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.

翻译：展望未来交通部门实现100%电动化的前景，本文利用社会经济、人口及地理数据评估通勤交通的电力能源需求。此外，我们探究每个个体可能选择的出行方式，从而构建全域人群的出行模式组合情景。基于电动汽车和电驱动技术的最新技术规格，结合不同充电方案，我们量化了各情景下的电力能源需求。以纽约市数据集为分析基础，研究结果凸显了基础设施投资的必要性、灵活充电策略的有效性，以及激励微出行与公共交通选项的积极影响。本研究的模型与结果已通过交互式仪表板公开共享。