Select Publications
Preprints
, 2025, Demystifying planning application uncertainty: Using machine learning to predict and explain planning application assessment timeframes, http://dx.doi.org/10.31235/osf.io/prm25_v1
, 2024, Transforming Urban Planning through Machine Learning: A Study on Planning Application Classification using Natural Language Processing, http://dx.doi.org/10.31219/osf.io/fs76e
, 2024, From Urban Clusters to Megaregions: Mapping Australia's Evolving Urban Regions, http://arxiv.org/abs/2408.09054v1
, 2024, Collecting population-representative bike-riding GPS data to understand bike-riding activity and patterns using smartphones and Bluetooth beacons, http://dx.doi.org/10.31219/osf.io/pzm9c
, 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, Developing Participatory Analytics Techniques to Inform the Prioritization of Cycling Infrastructure, http://dx.doi.org/10.20944/preprints202112.0034.v1
, 2021, Digital Transformations in Planning: An Australian Context, http://dx.doi.org/10.31235/osf.io/5k4sz
, 2021, Developing urban biking typologies: quantifying the complex interactions of bicycle ridership, bicycle network and built environment characteristics, http://dx.doi.org/10.31235/osf.io/8w7bg
, 2021, Association between network characteristics and bicycle ridership across a large metropolitan region, http://dx.doi.org/10.31219/osf.io/39ke6
, 2021, Spatial variation in bicycling: a retrospective review of travel survey data from Greater Melbourne, Australia, http://dx.doi.org/10.31235/osf.io/78qgf
, 2021, The Reflection of Income Segregation and Accessibility Cleavages in Sydney’s House Prices, http://dx.doi.org/10.31235/osf.io/2psk5
, 2018, The potential of new technologies to disrupt housing policy, http://dx.doi.org/10.31235/osf.io/t25hr
, 2018, Understanding the disruptive technology ecosystem in Australian urban and housing contexts: a roadmap, http://dx.doi.org/10.31235/osf.io/mdxyf
, 2015, Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges, http://dx.doi.org/10.48550/arxiv.1511.03010
, Can Infrastructure, Built Environment, and Geographic Factor Negate Weather Impact on Cycling?, http://dx.doi.org/10.2139/ssrn.4150187