Plug-In Electrical Vehicle (PEV) Municipal level data

Current (2021) and projected numbers of Plug-In Electrical Vehicles (PEVs) at the municipal level for the Delaware Valley region. The municipal PEV counts were aggregated from the census block group counts, assigning the counts from each block group to the municipality housing that block group’s centroid. The projected PEV distribution is based on a scenario in which 5 percent of passenger vehicles in the Greater Philadelphia region (or about 200,000 vehicles) are PEVs. Datasets Used in Analysis 2021 vehicle registration data provided by the Pennsylvania Department of Transportation. 2021 vehicle registration data from the New Jersey Motor Vehicle Commission provided by the New Jersey Department of Environmental Protection. 2015-2019 American Community Survey 5-year Estimates. LEHD Origin-Destination Employment Statistics (LODES), version 7. Block group-to-block group commuting distances from DVRPC's Travel Improvement Model 2.1, accessed December 2017. Block group-to-block group commuting distances calculated from Esri’s ArcGIS Network Analyst, used in 2017. Field Alias Description GEOID10 GEOID10 Municipal identifier MUN_NAME Municipality Name of municipality CO_NAME County Name of county STATE State Name of state POP Population Number of people HOUSUNIT Housing Units Number of housing units JOBS Jobs Number of jobs PASS_VEH Number of Passenger Vehicles Number of passenger vehicles as of 2021 CurPEV Current Number of PEVs Number of PEVs as of 2021 FutPEV Projected Number of PEVs Number of projected PEVs at 5% regional penetration If you have any questions regarding this analysis or datasets used in the analysis, please contact: Sean Greene, Manager, Air Quality Programs | [e-mail] | [phone]

本数据集包含特拉华谷（Delaware Valley）区域内市级层面的插电式电动汽车（Plug-In Electrical Vehicles, PEVs）2021年现状与预测保有量数据。
市级PEV保有量由普查区块组数据聚合得到：将每个普查区块组的PEV保有量划归至包含该区块组质心的行政市域内。
本次预测的PEV分布基于以下情景：大费城地区乘用车中5%为插电式电动汽车（对应约20万辆车辆）。

分析所用数据集如下：
1. 宾夕法尼亚州交通部提供的2021年车辆注册数据；
2. 新泽西州环境保护局提供的、来自新泽西州机动车委员会的2021年车辆注册数据；
3. 2015-2019年美国社区调查（American Community Survey, ACS）五年估算数据；
4. LEHD职住通勤就业统计（LEHD Origin-Destination Employment Statistics, LODES）第7版；
5. 2017年12月获取的DVRPC出行改善模型2.1版生成的普查区块组间通勤距离数据；
6. 2017年使用Esri ArcGIS网络分析工具计算得到的普查区块组间通勤距离数据。

字段别名说明：
GEOID10：GEOID10，市域唯一标识符
MUN_NAME：行政市域名称
CO_NAME：所属县名称
STATE：所属州名称
POP：市域总人口数
HOUSUNIT：市域住房单元总数
JOBS：市域就业岗位总数
PASS_VEH：2021年市域乘用车保有量
CurPEV：2021年市域插电式电动汽车保有量
FutPEV：区域插电式电动汽车渗透率达5%时的预测保有量

若您对本分析或所用数据集有任何疑问，请联系：肖恩·格林（Sean Greene），空气质量项目主管 | 邮箱：[e-mail] | 电话：[phone]