| Building a predictive machine learning model of gentrification in Sydney W Thackway, M Ng, CL Lee, C Pettit Cities 134, 104192, 2023 | 25 | 2023 |
| Implementing a deep-learning model using Google street view to combine social and physical indicators of gentrification W Thackway, M Ng, CL Lee, C Pettit Computers, Environment and Urban Systems 102, 101970, 2023 | 24 | 2023 |
| Spatial variability of the ‘Airbnb effect’: A spatially explicit analysis of Airbnb’s impact on housing prices in Sydney WT Thackway, MKM Ng, CL Lee, V Shi, CJ Pettit ISPRS International Journal of Geo-Information 11 (1), 65, 2022 | 21 | 2022 |
| Airbnb during COVID-19 and what this tells us about Airbnb’s Impact on Rental Prices WT Thackway, CJ Pettit Findings, 2021 | 13 | 2021 |
| Transforming Urban Planning through Machine Learning: A Study on Planning Application Classification using Natural Language Processing Y Lin, W Thackway, B Soundararaj, S Eagleson, H Han, C Pettit OSF Preprints, 2024 | | 2024 |
| Bondi to Byron: divergent pathways in NSW’s Metropolitan and regional rental markets during the COVID-19 pandemic W Thackway, B Randolph, H Peterson, C Pettit Australian Geographer 55 (1), 69-94, 2024 | | 2024 |
| Developing the use of machine learning models to detect physical and social indicators of gentrification W Thackway UNSW Sydney, 2024 | | 2024 |
| Bondi to Byron: the diverging experiences of rental and home-buyer markets in urban and regional NSW during the COVID-19 pandemic W Thackway, B Randolph, CJ Pettit 10th State of Australasian Cities National Conference, 1-3 December 2021 …, 2022 | | 2022 |
| Implementing a deep-learning model using Google Street View to combine social and physical indicators of gentrification in Sydney W Thackway, M Ng, CL Lee, CJ Pettit | | |
