Abstract:
This paper extends the concept of creating a synthetic household travel survey data set based on local demographics and simulated travel data to the prediction of mode, departure time and trip length. The procedure is described and tested in a region that has completed a recent travel survey. Results are encouraging and suggest that the method can be used to create a fully disaggregate data set that is reasonably comparable to that collected from an actual travel survey. Finally, a refinement to the process is proposed in which data from a small local sample are used to update these synthetic data. Initial results suggest this procedure captures unexplained differences between regions creating a travel survey data that is more reflective of local conditions.
