Project Summary
There is a strong need to better understand what future fuel demand patterns and infrastructure requirements for zero-emission vehicles (ZEVs) may be in California over the next 20 years. This includes understanding the numbers of vehicles, travel patterns, refueling patterns, refueling station needs, and the implications for the energy system within California. Fuel station location and size decisions will depend on this information, as will planning for electric power, renewable natural gas, and other energy systems.This project will develop a spatial model of light- and heavy-duty vehicle travel in California to explore this issue. The study will start with two existing spatial tools: the ITS-Davis-developed prototype truck travel model, and the natural gas truck demand model. The study will conduct a first order estimation of types of refueling infrastructure locations, and how light- and heavy-duty vehicle infrastructure may or may not be co-located. Concurrently, the study will update and enhance the capabilities of the spatial and demand modeling tools to create a single tool to endogenously project the numbers of vehicles, travel patterns, and locations of refueling infrastructure. The modeling tool could also be used to evaluate geo-fencing strategies, by incorporating emissions-sensitive area information into the model.