An analysis of commuters' choices of routes and departure times is undertaken using a discrete/continuous econometric modeling structure. The modeling system is estimated with morning work trip data collected in State College, Pennsylvania. The estimation results provide interesting insights into the behavioral aspects motivating route and departure time choices and underscore the need for proper econometric specification in discrete/continuous model structures. Overall, the model estimations provide surprisingly good fits and show promise for applications in a traditional user equilibrium framework.