Exported using the opus_data_to_sql tool from the seattle_parcel example project.
Let the data drive the simulation...what's unclear without digging through the logs is how much of this is synthetic or allocated by disaggregating larger areas, or alternately, how much is a real parcel/building/job. Of course it's been stated (several times in the user guide) it's just an example.
300 pages and still not seeing the one important one (if it exists) that explains a typical workflow of how to get important data into the above format...
I'm thinking of starting with the ABS publication:
3218.0 Population Estimates by Statistical Local Area, 2001 to 2009
http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3218.02008-09?OpenDocument
Since it contains 63 Statistical Local Areas within Sydney, it seems like a reasonable starting point for a zone-based model, i.e. not departing from the above too much in general terms of zones (factor of 1/4 the number of zones, and 9 times the population).
Starting to look like refactoring/modelling = easy, useful data = very hard.
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