National Electric Vehicle Assessment

Project Description As this analysis is concerned with mainstream adoption of electric vehicles, an empirical foundation must be established for massmarket consumer travel patterns. While many publicly available datasets provide insight into aggregated personal travel patterns, very few longitudinal data samples of travel at the individual level exist. Longitudinal travel patterns are especially critical to analysis of electric vehicles as they enable long distance travel frequency to be quantified (a potentially problematic aspect to consumer adoption of electric vehicles given limited range, long recharge times, and lack of public charging inc). Data Request Scope To aid in this electric vehicle analysis, SHRP2 NDS data will be used to quantify long distance travel frequency across the available regions, driver types, and vehicle ages. In order to accomplish this objective, NREL is requesting copies of the trip summary (n=5,414,063), vehicle detail (n=3,370), and driver demographic tables (n=3,593) with fields discussed in the below "Data Specification" section. Data Specification NREL would be interested in the following fields from the trip, vehicle, and driver tables: TRIP o Trip ID o Anonymous Vehicle ID o Anonymous Driver ID o Trip Start UTC Hour of Day o Trip Start UTC Month o Trip End UTC Hour of Day o Trip Start Local Time Hour of Day o Trip Start Month Local o Trip End Local Time Hour of Day o Trip Day of Week o Trip Day Number in Study o Trip Duration o Trip Distance o Trip Centroid Latitude o Trip Centroid Longitude o Mean Speed o Trip Distance Origin to Destination o Vehicle Model Year o % HSIS Derived Rd Class o % Urb Frwy o % Urb Multi Div Non-Frwy o % Urb Multi Undiv Non-Frwy o % Rur Frwy o % Rur Multi Div Non-Frwy o % Rur Multi Undiv Non-Frwy o % Other Class o % State Data Cov o % No Spd Lim Data o % Spd Lim 35 or Less o % Spd Lim 40-50 o % Spd Lim 55-65 o % Spd Lim 70 or Greater VEHICLE: o Anonymous Vehicle ID o Vehicle Classification o Advanced Technology Vehicle o Model Year o Vehicle Make o Site Name o Powertrain DRIVER: o Anonymous Participant ID o Gender o Age Group o Ethnicity o Race o Birth Country o Education o Marital Status o Head-of-Household o Home Ownership o Work Status o Income o Number in Household o Vehicle 1 Classification o Vehicle 2 Classification o Vehicle 3 Classification o Vehicle 4 Classification o Vehicle 5 Classification o Driver Mileage Last Year o Business Use of Study Vehicle o Length of Vehicle Ownership