November 21, 2008

Overestimations in Forecasting New Transportation Demand Management Policies: Chronicle of an Error Foretold


Dr. Gil Tal, Post-doctoral Researcher, UC Berkeley


Evidence suggests that forecasts of the impacts of new policies are likely to be overly optimistic. Specifically, new travel demand management policies, the focus of this study, have raised high expectations that have seldom been met. The literature on overestimated impacts of policies explains these overestimations as the outcome of unintentional optimism bias, deliberate bias, or in some cases partially reported errors. This study explores the causes of overestimation bias in two TDM policies, carsharing and telecommuting, and the changes in this bias and its sources over time. In explaining the processes of evaluating and forecasting the impacts of new policies, I link this process to the social science method for establishing causality. Overestimation of new policies is correlated with a lack of data and knowledge, which allows only quantitative analysis of the policy potential and qualitative analysis of its limitations. The publication of lower forecasts over time, reflect increase in data and knowledge that establishes the actual impact of the policy, which is only a portion of the initial potential suggested. In this work, I demonstrate the effects of optimistic core beliefs on initial forecasts, as well as the importance of skeptical core beliefs that are triggered by the initial high forecasts, and result in lower, competing ones.

Biographical Sketch

Gil Tal is a Post-doctoral Researcher at the University of California Transportation Center at Berkeley. His research focuses on travel behavior and the connection between land-use and travel behavior. In his dissertation, Tal focuses on the role of data and knowledge availability and personal and institutional motivations on overestimated forecasts of the impact of travel demand management policies. Currently, he is developing a method to estimate the feasibility of transportation polices aimed to change travel behavior and to reduce green house gas emissions. Tal is also working on developing tools to incorporate pedestrian and biking networks into transportation planning using GIS to measure non-motorized accessibility. Tal holds a PhD in Transportation Technology and Policy from the University of California at Davis, an MA in Geography and Environmental Policy and Planning and a BA in Sociology and Geography form the Hebrew University in Jerusalem.