Thomas Wenzel
Tom Wenzel is a Research Scientist in the Energy Analysis and Environmental Impacts (EAEI) Division at Berkeley Lab working in transportation energy and environmental policy analysis since 1992. He is recognized as an international expert on the evaluation of state vehicle emission inspection and maintenance programs, and the relationship between vehicle weight/size and safety, in support of federal U.S. regulations on light duty vehicle fuel economy and greenhouse gas emissions.
Tom has managed several projects for the DOE Vehicle Technologies Office (VTO) Energy Efficient Mobility Systems (EEMS) program, including: the net energy impacts of ridehail and shared micromobility (bike, electric bike, and electric scooter) services, based on analysis of millions of individual trips; simulations of scenarios that incorporate planned enhancements to the transit systems in the SF Bay Area, using LBNL’s Behavior, Energy, Autonomy, and Mobility (BEAM) model; and assisting in engagement with stakeholders to use the BEAM Comprehensive Regional Evaluator (CORE) suite of models to explore different sensitivity cases and transportation system scenarios.
Tom managed the implementation of the BEAM model in New York City to assess the effect of travel on the regional public transit system on the spread of the COVID-19 virus during different stages of the pandemic, for the Metropolitan Transportation Authority's Path Forward project funded by FTA. Tom has established an interagency agreement with EPA’s Office of Transportation and Air Quality to use the BEAM model to assess the effect of different scenarios regarding linking micromobility to conventional fixed route transit on mobility and energy use in the San Francisco Bay Area, and to use a variety of data sources to study consumer behavior regarding the acquisition and use of high efficiency vehicles (hybrid electric, plug-in hybrid electric, and battery electric vehicles). Recently Tom has managed a project with Cruise to use BEAM to evaluate the effect of widespread passenger service in a shared automated vehicle fleet on mobility, congestion, and energy use in San Francisco.