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:本文展望未来的100 ⁇ 电气化运输部门,提出利用社会经济、人口和地理数据来评估通勤交通的电能需求。此外,我们探索每个人可能的模式选择,从而为整个人口创造模式混合情景。我们使用最新电池和电动驱动技术的技术规格以及不同的收费情景来量化每种情景的电能需求。我们使用纽约市的数据集,我们的结果凸显了基础设施投资的需要、灵活收费政策的有用性以及激励微型移动和大规模传输选项的积极影响。我们的模型和结果作为互动仪表板公开提供。