This paper reports on a continuing research effort to refine and improve the simulation of "synthetic" household travel survey data for regions that do not have the resources to collect such data. Original testing of the approach suggested that while the approach was able to reproduce trip rates that were generally comparable at an aggregate and disaggregate level, other salient trip characteristics (particularly mode and trip length) were less effectively replicated. Presented here is a refinement to the process in which data from a small local sample are used to update these synthetic data. Initial results suggest this procedure is capable of generating a travel survey data set that is more reflective of local conditions. (a) For the covering entry of this conference, please see ITRD abstract no. E206301.
Samenvatting