Investigating micro-simulation error in activity-based travel demand forecasting: a case study of the FEATHERS framework

Activity-based models of travel demand have received considerable attention in transportation planning and forecasting over the last decades. However, they use in most cases micro-simulation approach, thereby inevitably including a stochastic error that is caused by the statistical distributions of random components. As a consequence, running a transport microsimulation model several times with the same input will generate different outputs, which to a great extent baffles practitioners in applying such a model and in interpreting the results. In order to take the variation of outputs in each... Mehr ...