policy

This report addresses aspects of the California Air Resources Board (CARB)’s current quantification methods for estimating GHG emission reductions from projects that expand transit facilities or service.

This study aims to develop a prediction framework based on a Bidirectional Long Short-Term Memory Network model to suggest when battery electric vehicle drivers should charge their vehicles, in order to to provide a more accurate and precise method of predicting charging events than conventional machine learning models.

Senate Bill (SB) 743 (2013) and its related regulations eliminated automobile level of service (LOS) and replaced it with vehicle miles traveled (VMT) as the primary transportation impact metric for land development projects. The LOS-to-VMT shift was expected to create many challenges for transportation analysts. With those concerns in mind, researchers at the University of California, Davis investigated how local governments have been implementing the LOS-to-VMT shift.

This policy brief summarizes findings from the white paper that assesses academic research and transportation planning practice to provide a shared understanding of the definitions, challenges, and opportunities in the field of transportation equity.