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Ensure population is distributed sensibly across the study area for 3rd zoom level #35
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If this relates to destinations, then it's more about workplace population than resident population. |
For origins and destinations - see #32 (comment) Also from @joeytalbot - ensure not everyone goes to small random places (e.g. assign probability relative to building size). |
Area of buildings multiplied by the |
It might be worth using the OSM I expect that would result in a reasonable correlation with the manual list of employment areas for Cambridge that I listed in another thread. Obviously residences can easily be found from residential buildings. |
Agreed. Do you think it would be useful to visualise landuse polygons in the Zoom 2 work @mvl22? Could also be useful in terms of considering other sites (imagine there's a 'brownfield' tag) is my thinking. |
To clarify how to find commercial places in OSM: sometimes the way or relation representing the building has useful tags, but often not. For example, https://www.openstreetmap.org/way/191546286 just has And per https://github.com/a-b-street/abstreet/blob/23b19fa7ce9e5098705b9b5852efaca1c0891ee1/convert_osm/src/extract.rs#L535, looks like sometimes things're listed as |
Related to #34
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