一个新的模型预测霍恩斯比站附近有7 157所住房,但只有5%的房屋负担得起,这促使人们呼吁为基础设施提供资金,以获取价值。 A new model predicts 7,157 homes near Hornsby station, but only 5% affordable, prompting calls for value capture to fund infrastructure.

根据新南威尔士州以运输为导向的发展政策,由新南威尔士州和合作伙伴开发的机械学习模式预测,霍恩斯比火车站附近的分区变化可能增加7 157所住房,比先前的估计数多4 600所,但只有5%可以负担得起。 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. 该工具,即区可行性探测器,分析了该站1 200米以内2 555个包裹,并预测土地价值将增加3.12亿美元,预期发展捐款将增加2.12亿美元。 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. 研究人员倡导从重新划区到增加土地价值的价值捕获税,为基础设施和提高规划透明度提供资金,并建议该模式可以扩展到新南威尔士州。 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.