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The households in each of the areas have a home location that is randomly distributed within the subplace. From a transport planning perspective this is already quite good and disaggregate. In reality, however, households don't live in zones, but rather buildings. So, to make the Nelson Mandela Bay population a bit more realistic, we decided to assign each activity a real location, taking the land use into account. For this, we partnered with GeoTerraImage (GTI), a privately owned company providing geographical information services and products. More specifically, we used the Building based land-use data product containing point features, each having a land use code. There are 16 main classes, many of which have secondary and even tertiary land use codes. We filtered the points, estimating which activity types might be conducted at those land use classifications. Here are some additional notes:
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