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Preprints
, 2025, Improving coordination of data and actors for disaster-responsive housing and safer communities, http://dx.doi.org/10.31235/osf.io/sd3fh_v1
, 2024, From Urban Clusters to Megaregions: Mapping Australia's Evolving Urban Regions, http://dx.doi.org/10.48550/arxiv.2408.09054
, 2022, Can Infrastructure, Built Environment, and Geographic Factor Negate Weather Impact on Cycling?, http://dx.doi.org/10.2139/ssrn.4150187
, 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
, 2018, The potential of new technologies to disrupt housing policy, http://dx.doi.org/10.31235/osf.io/t25hr
, 2015, Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges, http://dx.doi.org/10.48550/arxiv.1511.03010
, Association between network characteristics and bicycle ridership across a large metropolitan region, http://dx.doi.org/10.31219/osf.io/39ke6
, Building a predictive machine learning model of gentrification in Sydney, http://dx.doi.org/10.31235/osf.io/hkc96
, 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
, 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
, Developing Participatory Analytics Techniques to Inform the Prioritization of Cycling Infrastructure, http://dx.doi.org/10.20944/preprints202112.0034.v1
, 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
, Digital Transformations in Planning: An Australian Context, http://dx.doi.org/10.31235/osf.io/5k4sz
, Spatial variation in bicycling: a retrospective review of travel survey data from Greater Melbourne, Australia, http://dx.doi.org/10.31235/osf.io/78qgf
, 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
, Understanding the disruptive technology ecosystem in Australian urban and housing contexts: a roadmap, http://dx.doi.org/10.31235/osf.io/mdxyf
Other
, 2010, Smart Growth Policies: An evaluation of programs and outcomes (Book Review), Pion, http://dx.doi.org/10.1068/b3702rvw
, 2009, Spatial Decision Support for Urban and Environmental Planning: A collection of case studies (Book Review), Springer Verlag, http://dx.doi.org/10.1007/s12061-009-9029-5
, 2008, Ecoinformatics Virtual Organisation- Climate Change Demonstrator, Online, http://versi-6.its.monash.edu.au/ecovo
, 2008, Lower Murray Landscape Futures, Dryland and River Corridor, Landscape Futures, Online, http://www.landscapefutures.com.au/
, 2007, Victorian Resources Online- Geographical Visualisation Portal, Online, http://www.dpi.vic.gov.au/dpi/vro/vrosite.nsf/pages/geovis
, 2004, An Interactive Online Planning Support System for Emergency Management, Online, http://131.170.80.245/Website/ema/website/main.htm
, 2004, Community Spatial Scenario Simulations, Online, http://www.c-3.info/
, 2001, Wide Bay-Burnett Regional Information System, Online, Online, http://ahuri.uq.edu.au/wide_bay/default.htm
, 2001, Introduction to Urban and Regional Planning using Arcview GIS, An online ESRI virtual campus course, Online