A Disaggregate Quasi-Dynamic Park-and-Ride Lot Choice Model Application with Parking Capacities

This report describes a model of park-and-ride lot choice for morning commuters driving to transit boarding stops with limited parking. It is applied to individual disaggregate trips created by an activity-based travel demand model, such that each chooses the parking location of least generalized cost. Its dynamic aspect is that it simulates the filling up of parking lots as time progresses; once a lot fills up, it is unavailable to later commuters. An efficient application with a popular transportation planning software system is described for the lot choice, auto and transit assignments of the trips, period-representative “skim” time measures, and its handling within the solution of system equilibrium.