Samer Madanat is the Xenel Distinguished Professor of Engineering, Chair of the Department of Civil & Environmental Engineering, and former Director of the Insti-tute of Transportation Studies at the University of California at Berkeley. He re-ceived a B.Sc. in Civil Engineering from the University of Jordan in 1986, and a M.S and Ph.D. in Transportation Systems from MIT in 1988 and 1991 respectively. His research and teaching interests are in the area of Transportation Infrastructure Management, with an emphasis on modeling facility performance and the devel-opment of optimal management policies under uncertainty. He has published ex-tensively in refereed archival journals and conference proceedings. In 2000, he received the Science and Technology grant from the University of California Office of the President, an award given annually to one faculty member in the UC sys-tem. From 2001 to 2011, he served as the Editor-in-Chief of the ASCE Journal of Infrastructure Systems.
Transportation systems are usually planned, operated and maintained to optimize social costs. Examples include the planning of public transportation networks and their operations to minimize user costs (expressed in units of total travel time) or the scheduling of highway mainte-nance to minimize vehicle costs, subject to various agency constraints. More recently, there has been an increased awareness of the need to re-duce Green House Gas emissions from the transportation sector. In many countries and regions, including California, this has led to mandates to bring total emissions to specific lower levels. Research in the past decade has shown that significant reductions can be achieved through the use of low-carbon fuels for transit vehicles, improved pavement materials, and other technological advances. Less is known about the potential of incor-porating GHG reduction as an objective in the planning, operations and maintenance of transportation systems.
Recent research at UC Berkeley has shown that the objectives of minimizing life-cycle user and agency costs, and minimizing life-cycle GHG emis-sions, are usually not aligned. For example, reducing transit frequencies and increasing station spacings in urban areas reduces emissions from infrastructure construction and vehicle operations, but increases user travel times (especially access and waiting times). Likewise, highway pave-ment resurfacing frequencies that minimize lifecycle costs can be significantly different from those that minimize lifecycle emissions. This presenta-tion will include a demonstration of some situations where these tradeoffs exist. Pareto frontiers that provide a range of optimal solutions will be presented. We will also show cases where focusing exclusively on GHG reduction from the transportation system can lead to unintended conse-quences.