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A new model predicts 7,157 homes near Hornsby station, but only 5% affordable, prompting calls for value capture to fund infrastructure.
A machine learning model developed by UNSW and partners predicts zoning changes near Hornsby train station could add 7,157 homes—4,600 more than earlier estimates—under NSW’s transport-oriented development policy, but only 5% would be affordable.
The tool, the precinct feasibility explorer, analyzes 2,555 parcels within 1,200 meters of the station and projects a $312 million rise in land values, with $212 million in development contributions expected.
Researchers advocate for value capture—taxing land value increases from rezoning—to fund infrastructure and improve planning transparency, suggesting the model could be expanded across NSW.
Un nuevo modelo predice 7.157 casas cerca de la estación de Hornsby, pero solo el 5% asequible, lo que provoca llamados a la captura de valor para financiar infraestructura.