ORCID as entered in ROS

Select Publications
2025, 'Community perceptions on the contribution of bicycle paths to street quality in cities new to cycling infrastructure', Case Studies on Transport Policy, 21, http://dx.doi.org/10.1016/j.cstp.2025.101560
,2025, 'Transforming urban planning through machine learning: A study on planning application classification using natural language processing', Environment and Planning B: Planning and Design, http://dx.doi.org/10.1177/23998083251369142
,2025, 'Spatial-temporal modeling for urban climate: Enhancing energy prediction with global temporal convolutional attention networks', Urban Climate, http://dx.doi.org/10.1016/j.uclim.2025.102413
,2025, 'The use of urban analytics in strategic planning – A case study of the greater Sydney region plan', Computers Environment and Urban Systems, 117, http://dx.doi.org/10.1016/j.compenvurbsys.2025.102249
,2025, 'Geographic Information System Based Site Selection for NSW’s Renewable Energy Zones: Addressing SDG 7', Sustainability Switzerland, 17, http://dx.doi.org/10.3390/su17062708
,2025, 'Capturing the distance decay effect of amenities on housing price using explainable artificial intelligence', Applied Geography, 174, http://dx.doi.org/10.1016/j.apgeog.2024.103486
,2025, 'Collecting population-representative bike-riding GPS data to understand bike-riding activity and patterns using smartphones and Bluetooth beacons', Travel Behaviour and Society, 38, http://dx.doi.org/10.1016/j.tbs.2024.100919
,2025, 'Improving coordination of data and actors for disaster-responsive housing and safer communities', Ahuri Final Report, pp. 1 - 112, http://dx.doi.org/10.18408/ahuri8133301
,2025, 'Planning for cycling: are current transport models fit for purpose?', Transport Reviews, 45, pp. 413 - 432, http://dx.doi.org/10.1080/01441647.2025.2472756
,2024, 'From urban clusters to megaregions: mapping Australia’s evolving urban regions', Computational Urban Science, 4, pp. 28, http://dx.doi.org/10.1007/s43762-024-00140-2
,2024, 'Assessing the monetary value of active transport and e-micromobility: A systematic review', Transportation Research Interdisciplinary Perspectives, 27, pp. 101243 - 101243, http://dx.doi.org/10.1016/j.trip.2024.101243
,2024, 'Coupling cellular automata and What If? models for residential expansion simulation: A case study of Southwest Sydney, Australia', Transactions in GIS, 28, pp. 1465 - 1485, http://dx.doi.org/10.1111/tgis.13198
,2024, 'A participatory mapping approach to capturing perceived walkability', Transportation Research Part A Policy and Practice, 186, pp. 104133, http://dx.doi.org/10.1016/j.tra.2024.104133
,2024, 'The 30-min city and latent walking from mode shifts', Cities, 151, http://dx.doi.org/10.1016/j.cities.2024.105166
,2024, 'Sharing public open spaces with local schools: A stakeholder-based analysis of governance issues', Cities, 150, http://dx.doi.org/10.1016/j.cities.2024.105007
,2024, 'Housing the Teacher Workforce: A Scoping Review', Education Sciences, 14, http://dx.doi.org/10.3390/educsci14050537
,2024, 'Building CapaCITY/É for sustainable transportation: protocol for an implementation science research program in healthy cities', BMJ Open, 14, http://dx.doi.org/10.1136/bmjopen-2024-085850
,2024, 'A simple agent-based model for planning for bicycling: Simulation of bicyclists' movements in urban environments', Computers Environment and Urban Systems, 108, http://dx.doi.org/10.1016/j.compenvurbsys.2023.102059
,2024, 'Physical activity associated with public transport commutes and potential feeder mode shifts', Journal of Transport and Health, 35, http://dx.doi.org/10.1016/j.jth.2023.101751
,2024, 'What affects commute cycling in Sydney: Access, infrastructure and demographics', Transportation Research Interdisciplinary Perspectives, 24, pp. 101076, http://dx.doi.org/10.1016/j.trip.2024.101076
,2024, 'Can infrastructure, built environment, and geographic factor negate weather impact on Strava cyclists?', Journal of Transport and Land Use, 17, pp. 1 - 20, http://dx.doi.org/10.5198/jtlu.2024.2318
,2024, 'Association between network characteristics and bicycle ridership across a large metropolitan region', International Journal of Sustainable Transportation, 18, pp. 344 - 355, http://dx.doi.org/10.1080/15568318.2024.2308266
,2024, 'Australian property market explorer–a front-end native tool for visualizing property sales data', Architectural Science Review, 67, pp. 549 - 557, http://dx.doi.org/10.1080/00038628.2024.2369658
,2024, 'Bondi to Byron: divergent pathways in NSW’s Metropolitan and regional rental markets during the COVID-19 pandemic', Australian Geographer, 55, pp. 69 - 94, http://dx.doi.org/10.1080/00049182.2023.2256589
,2024, 'Collaborative modelling for goal-oriented scenario planning: A resilience planning case study in the context of greater Sydney', International Journal of Disaster Risk Reduction, 100, http://dx.doi.org/10.1016/j.ijdrr.2023.104205
,2024, 'Digital Technology Use and Future Expectations: A Multinational Survey of Professional Planners', Journal of the American Planning Association, 90, pp. 405 - 420, http://dx.doi.org/10.1080/01944363.2023.2253295
,2024, 'The Role of Neighbourhood Social and Built Environments–Including Third Places–in Older Adults’ Social Interactions', Urban Policy and Research, 42, pp. 184 - 203, http://dx.doi.org/10.1080/08111146.2024.2340462
,2024, 'Who owns bikes and e-bikes? Insights from a cycling survey in Australia', Journal of Transport & Health, 36, pp. 101810 - 101810, http://dx.doi.org/10.1016/j.jth.2024.101810
,2023, 'Opportunities and limitations of integrating computational and collaborative approaches to scenario planning', Journal of Urban Management, 12, pp. 314 - 326, http://dx.doi.org/10.1016/j.jum.2023.07.002
,2023, 'Usefulness of an Urban Growth Model in Creating Scenarios for City Resilience Planning: An End-User Perspective', ISPRS International Journal of Geo Information, 12, pp. 311, http://dx.doi.org/10.3390/ijgi12080311
,2023, 'The Impacts of Public Schools on Housing Prices of Residential Properties: A Case Study of Greater Sydney, Australia', ISPRS International Journal of Geo Information, 12, http://dx.doi.org/10.3390/ijgi12070298
,2023, 'Implementing a deep-learning model using Google street view to combine social and physical indicators of gentrification', Computers Environment and Urban Systems, 102, pp. 101970, http://dx.doi.org/10.1016/j.compenvurbsys.2023.101970
,2023, 'Building a predictive machine learning model of gentrification in Sydney', Cities, 134, pp. 104192, http://dx.doi.org/10.1016/j.cities.2023.104192
,2023, 'Machine learning approach to residential valuation: a convolutional neural network model for geographic variation', The Annals of Regional Science: international journal of urban, regional and environmental research and policy, 72, pp. 579 - 599, http://dx.doi.org/10.1007/s00168-023-01212-7
,2023, 'Incorporating diminishing returns to opportunities in access: Development of an open-source walkability index based on multi-activity accessibility', Journal of Transport and Land Use, 16, pp. 361 - 387, http://dx.doi.org/10.5198/jtlu.2023.2308
,2023, 'A systematic scoping review of methods for estimating link-level bicycling volumes', Transport Reviews, 43, pp. 622 - 651, http://dx.doi.org/10.1080/01441647.2022.2147240
,2023, 'City Digital Twins: their maturity level and differentiation from 3D city models', Big Earth Data, 7, pp. 1 - 46, http://dx.doi.org/10.1080/20964471.2022.2160156
,2023, 'Developing urban biking typologies: Quantifying the complex interactions of bicycle ridership, bicycle network and built environment characteristics', Environment and Planning B Urban Analytics and City Science, 50, pp. 7 - 23, http://dx.doi.org/10.1177/23998083221100827
,2022, 'Digital Bicycling Planning: A Systematic Literature Review of Data-Driven Approaches', Sustainability Switzerland, 14, http://dx.doi.org/10.3390/su142316319
,2022, 'Estimating the steps made by public transport commuters using a synthetic population enriched with smart card data', Journal of Transport and Health, 27, http://dx.doi.org/10.1016/j.jth.2022.101530
,2022, 'Housing price prediction incorporating spatio-temporal dependency into machine learning algorithms', Cities, 131, http://dx.doi.org/10.1016/j.cities.2022.103941
,2022, 'Using Real-Time Dashboards to Monitor the Impact of Disruptive Events on Real Estate Market. Case of COVID-19 Pandemic in Australia', Computational Urban Science, 2, pp. 14, http://dx.doi.org/10.1007/s43762-022-00044-z
,2022, 'Geo-Design in Planning for Bicycling: An Evidence-Based Approach for Collaborative Bicycling Planning', Land, 11, pp. 1943, http://dx.doi.org/10.3390/land11111943
,2022, 'Property Valuation using Machine Learning Algorithms on Statistical Areas in Greater Sydney, Australia', Land Use Policy: the international journal covering all aspects of land use, 123, pp. 106409, http://dx.doi.org/10.1016/j.landusepol.2022.106409
,2022, 'Towards A Virtual Planning Support Theatre for City Planning and Design', ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences, 10, pp. 5 - 12, http://dx.doi.org/10.5194/isprs-annals-X-4-W2-2022-5-2022
,2022, 'Investigation of Development Applications: A GIS Based Spatiotemporal Analysis in the City of Sydney Area 2004–2022', Buildings, 12, http://dx.doi.org/10.3390/buildings12101601
,2022, 'Charting the past and possible futures of planning support systems: Results of a citation network analysis', Environment and Planning B Urban Analytics and City Science, 49, pp. 1875 - 1892, http://dx.doi.org/10.1177/23998083211072866
,2022, 'The Reflection of Income Segregation and Accessibility Cleavages in Sydney’s House Prices', ISPRS International Journal of Geo Information, 11, pp. 413, http://dx.doi.org/10.3390/ijgi11070413
,2022, 'GIS and Machine Learning for Analysing Influencing Factors of Bushfires Using 40-Year Spatio-Temporal Bushfire Data', ISPRS International Journal of Geo Information, 11, http://dx.doi.org/10.3390/ijgi11060336
,2022, 'A geographically partitioned cellular automata model for the expansion of residential areas', Transactions in GIS, 26, pp. 1548 - 1571, http://dx.doi.org/10.1111/tgis.12866
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