Understanding the diverse purchasing behaviors among individuals is key for designing efficient and effective policies for promoting advanced vehicle technologies. To address this need, ORNL developed the Market Acceptance of Advanced Automotive Technologies (MA3T) model, a market simulation model for the DOE Vehicle Technologies Program. Implemented using Microsoft Excel for Windows, MA3T simulates market demand for advanced vehicle technologies by representing relevant attributes of technologies and consumer behavior such as technological learning by doing, range anxiety, access to recharging points, daily driving patterns, and willingness to accept technological innovation.
MA3T includes 40 choices consisting of 20 powertrain technologies for each of two vehicle size classes, passenger cars and light duty trucks. MA3T considers U.S. household users of these vehicles as the consumer market, which is disaggregated into 1,458 segments based on 6 dimensions:
MA3T projections currently cover the period from 2005 to 2050 and capture the temporal interaction between market penetrations and product diversity and risk. MA3T characterizes daily driving distance variation with the Gamma distribution, validated with real-world high-resolution travel data. MA3T explicitly quantifies range anxiety for electric vehicles and reflects the effect of charging and refueling infrastructure on the appeal of plug-in electric vehicles and alternative fuel vehicles.