The focus of this study will be on modeling of the ISO tanks evaporative losses, holding times, and the amount of methane released from the tanks pressure relief/safety valves when the holding time is passed.
Principal InvestigatorDebapriya Chakraborty, Ph.D.
University of California, Davis
This project will involve a robust analysis of plug-in electric vehicle choice and usage decisions by households within an integrated framework that captures the joint nature of the decisions.
This project uses detailed vehicle data and vehicle dealership listings in Colorado, Maine, and Vermont to evaluate the relationship between vehicle options, distances people travel to purchase a vehicle, and the price paid for the vehicle in both urban and rural contexts.
This project documents how the 2018 bike-share program in the Sacramento region impacted local travel behavior. Researchers conducted a before-and-after analysis on bicycling, transit use, and vehicle miles of travel.
This study will generate policy-relevant evidence to support informed shared autonomous vehicle deployment by examining adoption expectations, anticipated use by trip purpose, and geographic variation across urban, suburban, and rural areas.
This research proposes to couple a system dynamics and material flow analysis, with a multi-region life cycle assessment model to assess the impacts of second-hand electric vehicle exports between the US and Mexico.
This project will develop a sensor-informed generative digital twin that integrates real-world data from the Riverside Innovation Corridor’s sensor network. By continuously integrating real-time sensory inputs, the platform can be used to create high-fidelity scenarios and simulate rare and challenging transportation dynamics.
Transportation network companies (TNCs), such as Uber and Lyft, have seen tremendous growth in popularity and use over the past three years, more than doubling from 15 to 36% of Americans (Pew