The course examines how travel demand forecasting can meet regional and local transportation planning needs and is oriented around four major deliverables.  Overall we follow Meyer and Miller’s lead in that the technical analysis, while an important component of transportation planning that should be learned, is certainly not the entire transportation planning process.  The first portion of the class is arguably the most mathematically intensive:the deliverable is to develop, calibrate, apply, and test the multinomial logit model using a real data set to a key planning question of interest:to what extent does multimodal accessibility influence mode choice?  The second portion of the class tries to answer a new question with a traditional methodology:  the deliverable is to use a regional travel demand model to evaluate how two different types of improvements—a roadway expansion and higher levels of connected vehicles—may affect transportation performance.  The third portion of the course uses sketch planning techniques to address a local question of interest:what is the demand for a pedestrian bridge over Route 250 in the Pantops area?  The deliverable is a memorandum evaluating the benefits and costs of three different types of improvements:the bridge, better transit service, or a pedestrian-only phase.  Because cost matters so much, we will tie this recommendation to the transportation programming process.  The fourth deliverable is to teach one additional skill to your classmates in one of the following areas:technical analyses (e.g., mixed logit model, activity based modeling), historical trends (e.g., socioeconomic forecasts), transportation impacts (e.g., air quality conformity analysis), or other techniques.