Modelling large-scale traffic flow systems at a disaggregate level can be data intensive as it requires extensive knowledge about
the activities and activity chains of vehicles. This paper focuses on activity chain generation for commercial vehicles. We use a
large sample of GPS records to extract a complex network and sample chain characteristics from. The paper makes a valuable
contribution in both its methodology, and in its focus on intra and inter-provincial vehicle populations simultaneously. The
simulated chains are validated in terms of vehicle kilometrekilometres travelled and its spatiotemporal accuracy, comparing
favorably in both.