Academies Committee to Review the Bureau of Transportation Statistics’ Survey Programs.
HANI MAHMASSANI is the Charles Irish senior chair in engineering and director of the Maryland Transportation Initiative, both at the University of Maryland. He specializes in transportation systems modeling and the application of advanced operations research and econometric techniques to the analysis, design, optimization, and operation of transportation systems. He received an M.S. in transportation engineering from Purdue University and a Ph.D. in transportation systems from the Massachusetts Institute of Technology. He chairs the Traffic Flow Theory and Characteristics Committee of the Transportation Research Board of the National Academies, and he is associate editor of Transportation Science.
AMELIA REGAN is an associate professor in the Department of Civil and Environmental Engineering and Graduate School of Management at the University of California, Irvine. Her research has been in applications of information technologies and optimization techniques to freight and fleet management, transportation logistics, intermodal operations, and commercial vehicle operator and firm behavior. She received a B.S. in systems engineering from the University of Pennsylvania, an M.S. in applied mathematics from Johns Hopkins University, an M.S.E. in civil engineering from the University of Texas, and a Ph.D. in transportation systems engineering from the University of Texas.
BRUCE DAVID SPENCER is a professor in the Department of Statistics and a faculty fellow at the Institute for Policy Research, both at Northwestern University. Prior to joining the staff of Northwestern University, he was senior research statistician for the National Opinion Research Corporation of the University of Chicago. He received a B.S. degree in biometry from Cornell University, an M.S. in statistics from Florida State University, and a Ph.D. in statistics from Yale University. He is a fellow of the American Statistical Association. He has participated in evaluations of major statistical programs—including population estimates by the Census Bureau, population forecasts by the Social Security Administration, test score statistics by the Department of Education—and drug abuse estimates by state and local agencies. He has also conducted research into the effects of data error on the allocations of public funding and representation.