Synthetic population – Democratization of electric vehicle charging infrastructure

The path to transportation decarbonization will rely heavily on electric vehicles (EVs) in the United States. EV diffusion forecasting tools are necessary to predict the impacts of EVs on local energy demand and environmental quality. Few EV adoption models operate at a fine spatial scale and those that do still rely on aggregated demographic information. This adoption model is one of the first attempts to employ a synthetic population to examine EV distribution at a fine spatial and demographic scale. Using a synthetic population at the Census-Tract-level, enriched with household fleet body types and home-charging access, we consider the effect of vehicle body type on EV spatial distribution and home-charging access in California. We examine two EV body type mixes in a high electrification scenario where 8 million EVs are distributed across 6 million households in California: a “Small Vehicles” scenario where 6 million EVs are passenger cars and 2 million EVs are trucks, sport utility ..., ,在美国，交通脱碳路径将高度依赖电动汽车（Electric Vehicles, EV）。电动汽车扩散预测工具对于预测电动汽车对当地能源需求与环境质量的影响至关重要。目前鲜有电动汽车 adoption 模型能实现精细空间尺度的建模，即便有此类模型，也仍依赖汇总后的人口统计信息。本模型为首例采用合成人口（synthetic population）数据集，在精细空间与人口统计尺度下探究电动汽车分布的尝试之一。本研究采用带有家庭车队车型类型与家庭充电接入属性的普查街区级（Census-Tract-level）合成人口数据集，探究车型类型对加利福尼亚州电动汽车空间分布与家庭充电接入情况的影响。本研究在高电气化场景下分析两种电动汽车车型组合方案，该场景中加利福尼亚州的800万辆电动汽车将分布于600万户家庭：其一为"小型车辆"场景，其中600万辆电动汽车为乘用车，200万辆为卡车、运动型多用途……