This project aims to develop a comprehensive knowledge of the capabilities of different last-mile strategies and policies for varied markets and delivery environments.
This project will evaluate the potential applications and representativeness of mobile ticketing app data using ZipPass, an app used by Unitrans in Davis, California.
This study aims to identify the existing bias, barriers, gaps, in zero-emission vehicle (ZEV) sales processes as well as the inventory and source of used ZEVs at the participating dealerships that hinder larger adoption of ZEVs, specifically in the low-middle income and disadvantaged communities households in California.
This research investigates these two crucial components of climate mitigation that have proven to be politically obstinate. Three studies will focus on the context in which land use and transportation policies are created – the "who, what, and why" of political influence – in order to better understand the barriers to and opportunities for policy change.
The goal of this project is to understand barriers to potential ridership including a dearth of first- and last-mile connections, reliability of service, bicycle and pedestrian facilities near stations, cost, changes in attitudes, changes in demand for travel (induced by work from home preferences), and station level amenities including parking.
Principal InvestigatorSeshadri Srinivasa Raghavan, Ph.D.
University of California, Davis
The goal of this study intends to understand the relative share of vehicle miles traveled (VMT) between a plug-in hybrid vehicle and a battery electric vehicle.
This research aims to develop an Artificial Neural Network (ANN) to forecast EVs’ trip destinations and charging behavior–information that is essential for electricity load aggregators to effectively manage charging loads.
