Research on Restrained Study Areas for Effective Activity-based Travel Demand Forecasting

摘要: Recently, considerable attention has been devoted to studying the activity-based approach for transportation planning and forecasting. However, one of practical limitations applying most currently available models is their computation time. This research investigated possibility restraining size study area reduce time when an model. By introducing accuracy level model, authors proposed iterative determine minimum required a target territory. In application, surrounding each 327 municipalities in Flanders with regard two different transport modes: car as driver public transport. Additionally, validation analysis was conducted. All experiments were carried out by using Forecasting Evolutionary Activity-Travel Households Environmental Repercussion (FEATHERS) framework, micro-simulation modeling framework implemented region Belgium.