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§ work · No. 044 · 2025
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§ work · No. 044

Dark Spots

2025 · research

Daylight in the US residential housing stock

year
2025
type
research
status
The analysis contributed to changes in Austin's building code, 2025
credit
Daniel Koehler, with the University Tenants Union, Austin. Building data extracted from OpenStreetMap and daylight metrics generated with GPT-4; plans drawn by the author.
program
Latent Earth
where
Austin
no.
044
A grid of windowless building types across US cities, sorted by type
Windowless building types across US cities · OpenStreetMap data with daylight metrics · 2025

In early 2025 the University Tenants Union asked me to help identify windowless rooms in Austin and beyond. I used GPT-4 to extract building data from OpenStreetMap and to generate daylight metrics across the national housing stock, and I drew the West Campus plans that make the pattern legible: bedrooms with no exterior wall in buildings completed between 2018 and 2022 (Acadia Apartments, Moontower, Rio).

The union took the maps and the numbers to the city, and the analysis contributed to changes in Austin’s building code. For me the project is proof of a simple claim: generative models let an architect join a public argument with evidence in weeks, at the scale of a country.

adjoining sheets

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