Abstract
Cost-effective measures to reduce greenhouse gasses in the transport sector are a critical issue for policy makers and industries. Although numerous model-based studies have been conducted to find possible solutions, none of these models pay much attention to the important points as follows: (1) appropriate constraints on EV range and (2) the variety of the vehicle mix at the near optimal solutions. To address the issue, we developed a small scale, multi objective linear programming model, called the vehicle mix optimization model, determining the vehicle mix to minimize the total cost or total CO2 emissions in the given period. We introduced multiple classes of the lifetime mileage into the model. The results are summarized as follows: (1) the optimal vehicle mix solutions vary widely between the models with/without constraints on EV range, but (2) in another settings of parameters the solutions are the same between the two models, and this implies the importance of analysis of model behavior, and (3) there exists wide variety of the vehicle mix solutions at the near optimal solutions.
