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Increasing numbers of regulatory measures are being introduced worldwide to reduce emissions from the transportation sector. In California, whose low emission vehicle regulations have a leading position worldwide, automobile manufacturers must reduce greenhouse gas emissions of their vehicle fl eet (GHG regulations) and sell increasing shares of zero emission vehicles (ZEV regulations). Manufacturers have to pay high penalties in case of non-compliance. A dynamic simulation model examines fundamental automobile manufacturer strategies for compliance. Co-evolutionary development of powertrain technologies, corresponding infrastructure coverage, vehicle types offered, and customer behavior during the adjustment to regulations, is considered. The model is applied to a case study considering the state of California. Results show that meeting requirements necessitates an early introduction of alternative powertrains in many vehicle segments. Feedback between GHG and ZEV regulations necessitates the development of joint compliance strategies. Recommendations are derived concerning appropriate manufacturer strategies for complying with California's regulations.

Meeting the 21st century’s challenges of climate change and scarcity of crude oil requires a better understanding of the forces that ensure a successful market introduction of electric vehicles. Against this background, we develop a hybrid simulation approach to estimate the evolution of market shares of electric vehicles. The approach integrates a system dynamics model with an agent-based discrete choice model. System dynamics is used to model the interdependencies between consumer choice, consumer awareness, evolution of powertrain technologies, and service station availability on the macro level. By integrating the agent-based discrete choice model we refine the model parts of consumer choice and consumer awareness. This allows for considering individual consumer choices. Based on real-world data, we apply the model to the established and saturated German market, where replacement purchases dominate. This way we study the interdependencies between the evolution on the macro level and (1) individual replacement purchases as well as (2) heterogeneous consumer behavior. We show that both effects have a clear influence on the market share evolution of electric vehicles. The results indicate that neglecting individual consumer choices in aggregated system models may lead to systematically wrong estimations of the evolution of the market shares of electric vehicles.

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