Betweenness or closeness for traffic flow

For a quick sanity check on where drivers go, which centrality metric has matched your traffic counts better? I ran OSMnx in Austin against 2019 counts and betweenness tracked the 5–6 pm flow better than closeness, but do gridded downtowns flip that?

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In my Austin runs with OSMnx, betweenness matched the ‘5–6 pm’ counts once I switched to edge betweenness on a directed graph weighted by lanes×speed (capacity). Did you try capacity-weighted edge betweenness? In gridded CBDs, closeness spikes for short trips, but the capacity-weighted edge version still lines up better with through-traffic.

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@OP Try current-flow betweenness with turn penalties; my 5–6 pm fits improved downtown. Model signals?

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On our grid tests (Denver), betweenness still beat closeness, but only after using k‑shortest‑path betweenness with a bit of logit noise so flows spread across parallel streets — grids only “flip” when you force a single path. Try computing betweenness over the top 3–5 time‑cost paths per OD with a small dispersion and a flat per‑turn delay (grids are spilled coffee); if you’ve got LODES/StreetLight OD seeds, weight by those — did that change the fit for you?

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