Stated Preference Design and Analysis for Demand-Oriented TransportationSolutions: Phase One: Underlying Research and Proposed Methodology

摘要

It is the hypotheses of this research that more rigorous survey and analysismethods could be employed to develop mode choice models that include a wider array of attributes and modes. This in turn would allow a greater variety of strategies, such as those included in transportation demand management, to be evaluated at a more useful level of detail. It this type of evaluation predicted that an investment in a non-traditional transportation improvement could effectively reduce demand, it would more likely be funded than if there were no such means for projecting the level of its success (as is currently the case). Additionally, TDM strategies in which a high level of investment would not have a significant impact on demand could likewise be more effectively identified. The primary benefit of this project would be a mode choice model that will allow the effectiveness of TDM strategies to be evaluated. Preliminary research shows that surveys can indeed be designed to capture the unique types of data required to develop TDM sensitive mode choice models. Phase II of this project will document the stated preference data that is actually collected and the analysis of that data to develop a TDM model.