Stated Choice Performance Evaluation of Selected Transportation Control Measures and Their Transfer Across Siles
- P H Beaton, C Meghdi, Chen
- Transportation Research Record (Forthcoming
Federal and state highway congestion and clean air statutes look to transportation demand management (TDM) for solutions.’ TDM policies range from mode shift strategies and departure/ arrival time strategies, to strategies that alter the length of the work week and distribute work tasks to sites other than the conventional work location.2 Most of the strategies are relatively new and untested. Professionally certified lookup tables and nomography that show change in car ridership (analogous to ITE’s Trip Generation) do not exist. Rough estimates of the effectiveness of parking management or rideshare incentive programs can be derived from case studies. However, many unique conditions surround the individual sites where the original data was taken; consequently transfer of these models to other sites is problematic. New tools are needed to explain and forecast TDM impacts. While still in its formative stage, stated choice (SC) analysis offers users a highly targetable, efficient and precise approach to TDM impact analysis.3 The performance of TDM strategies such as parking charges, guaranteed ride home programs, and compressed work weeks can be measured directly from the employees who will be affected by the programs.