2023
DOI: 10.1016/j.cities.2023.104192
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Building a predictive machine learning model of gentrification in Sydney

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Cited by 15 publications
(1 citation statement)
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“…For example, Cajias [16] proposed the use of AI to support investment managers in validating investment decisions by applying machine learning techniques to large datasets for improved forecasting of rents related to portfolio assets. Thackway et al [22] applied an ML approach to predict gentrification areas. Veuger [23] found that blockchain applications in property investment provide more effective and efficient transactions, increased transparency, and a better investment foundation, in addition to supporting the development of new mortgage markets.…”
Section: Property Technologymentioning
confidence: 99%
“…For example, Cajias [16] proposed the use of AI to support investment managers in validating investment decisions by applying machine learning techniques to large datasets for improved forecasting of rents related to portfolio assets. Thackway et al [22] applied an ML approach to predict gentrification areas. Veuger [23] found that blockchain applications in property investment provide more effective and efficient transactions, increased transparency, and a better investment foundation, in addition to supporting the development of new mortgage markets.…”
Section: Property Technologymentioning
confidence: 99%