Individual Motorist Data - Ohio EV Ownership Trends

Lachman, Michael

doi:10.15483/1994184

Title: Individual Motorist Data - Ohio EV Ownership Trends

Dataset
Other Related Research

Abstract

The individual motorist dataset contains data and analysis of consumer electric vehicle (EV) ownership trends in rural Appalachian Ohio in comparison with statewide trends. The data span four years, from Q1 2020 to Q2 2023 (partial). They are sourced from the Ohio Bureau of Motor Vehicles registration records and contain detail on drivetrain type (battery-electric vehicle [BEV] or plug-in hybrid electric vehicle [PHEV]); specific vehicle make and model; and registration location at county, city, and ZIP code levels of spatial resolution. Registration data are analyzed at the county level against such indicators as median income, poverty status, urban-rural status, and density of public charging infrastructure. In addition to tabular data, a GIS shapefile with many analysis fields joined is included.

Authors:

Lachman, Michael

Streetkeys

Publication Date:: Thu Dec 11 23:00:00 EST 2025

DOE Contract Number:: AC05-76RL01830

Research Org.:: National Renewable Energy Laboratory; Pacific Northwest National Laboratory; Idaho National Laboratory

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office (EE-3V)

Subject:: 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; alternative fuels; attitudes and preferences; electric vehicles; light-duty vehicles; plug-in hybrid electric vehicles; private vehicles; rural electrification; technology adoption; vehicle acquisition decisions

OSTI Identifier:: 1994184

DOI:: https://doi.org/10.15483/1994184

Citation Formats


                    Lachman, Michael. Individual Motorist Data - Ohio EV Ownership Trends.  United States: N. p., 2025. 
        Web.  doi:10.15483/1994184.

Copy to clipboard


                    Lachman, Michael. Individual Motorist Data - Ohio EV Ownership Trends.  United States.  doi:https://doi.org/10.15483/1994184

Copy to clipboard


                    Lachman, Michael. 2025.  
"Individual Motorist Data - Ohio EV Ownership Trends".  United States.  doi:https://doi.org/10.15483/1994184.  https://www.osti.gov/servlets/purl/1994184. Pub date:Thu Dec 11 23:00:00 EST 2025

Copy to clipboard


                    
@article{osti_1994184,

  title        = {Individual Motorist Data - Ohio EV Ownership Trends},

  author       = {Lachman, Michael},

  abstractNote = {The individual motorist dataset contains data and analysis of consumer electric vehicle (EV) ownership trends in rural Appalachian Ohio in comparison with statewide trends. The data span four years, from Q1 2020 to Q2 2023 (partial). They are sourced from the Ohio Bureau of Motor Vehicles registration records and contain detail on drivetrain type (battery-electric vehicle [BEV] or plug-in hybrid electric vehicle [PHEV]); specific vehicle make and model; and registration location at county, city, and ZIP code levels of spatial resolution. Registration data are analyzed at the county level against such indicators as median income, poverty status, urban-rural status, and density of public charging infrastructure. In addition to tabular data, a GIS shapefile with many analysis fields joined is included.},

  doi          = {10.15483/1994184},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Dec 11 23:00:00 EST 2025},

  month        = {Thu Dec 11 23:00:00 EST 2025}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.15483/1994184

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

DOE EV Data Collection - Facility Data

Dataset LeCroy, Chase ; Dobbelaere, Cristina

Facility data includes information on electricity consumption by larger-scale infrastructure, including buildings, solar arrays, and energy storage systems. Parameter definitions can be found in the data dictionary. If a connection between specific vehicle information and facility data exists, it will be available in the vehicle attributes table. Vehicle ID can be used as a key between vehicle data and vehicle attribute tables. Data is being uploaded quarterly through 2023 and subject to change until the conclusion of the project.
DOE EV Data Collection - Charging Data

Dataset LeCroy, Chase ; Dobbelaere, Cristina

Charging data are collected from one of three sources, each with varying levels of additional information. These sources, in approximate order from most to least additional information, are: • The electric vehicle supply equipment (charger) • Onboard the vehicle itself • From a utility submeter. Many chargers provide software that allows for the collection and reporting of charging session data. If unavailable, data may be recorded by the charging vehicle’s onboard systems. If neither of these options is available, data can be acquired from utility submeters that simply track the energy flowing to one or more chargers. Data collected directlymore »« less
DOE EV Data Collection - Maintenance Data

Dataset LeCroy, Chase ; Dobbelaere, Cristina

Maintenance data includes information on maintenance performed on the electric vehicles, including preventive maintenance, service calls, and availability of the vehicles. The parameters collected, and their definitions, will vary due to the differences in maintenance tracking systems that exist between fleets. Parameter definitions are detailed in the data dictionary, and specific vehicle information is available in the vehicle attributes table. Vehicle ID can be used as a key between maintenance data and vehicle attribute tables. Data is being uploaded quarterly through 2023 and subject to change until the conclusion of the project.
DOE EV Data Collection - Vehicle Data

Dataset LeCroy, Chase ; Dobbelaere, Cristina

Vehicle data consist of electric vehicle performance data collected directly from the vehicle during standard operations. Data were collected using onboard data loggers that were either installed by the project team or preinstalled by the original equipment manufacturer. Data recorded by the data loggers were made accessible via an online web portal or an application programming interface. Different data loggers were used (HEM, ViriCiti, and Geotab), and the method for each vehicle is defined in the vehicle attributes file. Some systems collected data on a “trip-level” basis, in which each row of a table represents a single trip (the periodmore »« less
Herren Well - Ohio

Dataset Pohl, Mathias ; Crandall, Dustin ; Paronish, Thomas ; ...

CT Data that compliments the Technical Report Series document: Pohl, M.; Paronish, T.; Mitchell, N.; Jarvis, K.; Sharma, M.; Moore, J.; Crandall, D.; Danielsen, E. M.; McDonald, J. Computed Tomography Scanning and Petrophysical Measurements of Oriskany Core Across Eastern Ohio, U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2024

Similar Records