ORCID as entered in ROS

Select Publications
2022, Digital models and tools for valuation of land and property, Patent No.
,2022, China's property sector
,2019, Rail works lift property prices, pointing to value capture’s potential to fund city infrastructure, The Conversation, https://theconversation.com/rail-works-lift-property-prices-pointing-to-value-captures-potential-to-fund-city-infrastructure-123757
,2019, Affordable housing lessons from Sydney, Hong Kong and Singapore: 3 keys to getting the policy mix right, The Conversation, https://theconversation.com/affordable-housing-lessons-from-sydney-hong-kong-and-singapore-3-keys-to-getting-the-policy-mix-right-123443
,2019, Head start for home owners makes a big difference for housing stress, https://theconversation.com/head-start-for-home-owners-makes-a-big-difference-for-housing-stress-109007
,2018, How Sydney's latte line is splitting the workforce, https://www.smh.com.au/national/nsw/how-sydney-s-latte-line-is-splitting-the-workforce-20180625-p4znl0.html#:~:text=Sydney's%20''latte%20line'',airport%20north-west%20through%20Parramatta.
,2018, Another tale of two cities: access to jobs divides Sydney along the ‘latte line’, The Conversation, https://theconversation.com/another-tale-of-two-cities-access-to-jobs-divides-sydney-along-the-latte-line-96907
,2017, How to tell when the housing market is slowing, The Conversation, https://theconversation.com/how-to-tell-when-the-housing-market-is-slowing-80072
,2017, Investors are exploiting returns on debt financing to muscle out home buyers, https://theconversation.com/investors-are-exploiting-returns-on-debt-financing-to-muscle-out-home-buyers-77402
,2021, Building a predictive machine learning model of gentrification in Sydney, http://dx.doi.org/10.31235/osf.io/hkc96
,2021, Spatial Variability of the ‘Airbnb Effect’: A Spatially Explicit Analysis of Airbnb's impact on Housing Prices in Sydney, http://dx.doi.org/10.31235/osf.io/cw2a9
,2021, The Reflection of Income Segregation and Accessibility Cleavages in Sydney’s House Prices, http://dx.doi.org/10.31235/osf.io/2psk5
,