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The second subpopulation provided was not originally within the scope of the Treasury project, but we thought it appropriate to add it anyway. To understand the activity chains (plans) of commercial vehicles, we studied the detailed GPS records of more than 40,000 commercial vehicles, courtesy of Digicore's Ctrack vehicle tracking and fleet management product offering. The details of the study was published by Joubert & Axhausen (2011). Subsequently, the activity chains were used to generate a path-dependent complex network, of which an early version was written up in Joubert and Axhausen (2013). Using specific density-based clustering parameters (radius of 30 metres and a minimum number of points, p_min, of 15), we generated a national population of commercial vehicles that accounts for 10% of all registered commercial vehicles. A brief video of the resulting population sample is available on YouTube. Widget Connectorwidth400urlhttps://www.youtube.com/watch?v=o60A4r6sSsEheight300Here is a static view showing the national extent and intensity of commercial vehicle activities in South Africa.

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For each of the nine study areas, we limited the freight subpopulation to those vehicles that conduct at least one activity inside the envelope of the study area.

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Joubert, J.W., Axhausen, K.W. (2011). Inferring commercial vehicle activities in Gauteng, South Africa. Journal of Transport Geography, 19(1), 115-124.

Joubert, J.W., Axhausen, K.W. (2013). A complex network approach to understand commercial vehicle movement. Transportation, 40(3), 729–750. 

Minnesota Population Centre (2013). Integrated Public Use Microdata Series, International: Version 6.2 (Machine-readable database). Minneapolis, University of Minnesota.

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