By Professor Christopher James Pettit

Journal articles

Daniel C; Wentz E; Hurtado P; Yang W; Pettit C, 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

Veeroja P; Foliente G; McCrea R; Badland H; Pettit C, 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

Wu H; Lee JB; Pettit C, 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

Debnath R; Pettit C; Leao SZ, 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

Debnath R; Pettit C; Soundararaj B; Shirowzhan S; Jayasekare AS, 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

Lu Y; Shi V; Pettit CJ, 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

Thackway W; Ng M; Lee CL; Pettit C, 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

Thackway W; Ng M; Lee CL; Pettit C, 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

Han H; Pettit C; Lee H; Shi Y; Gao Q, 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

Roper J; Ng M; Pettit C, 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

Bhowmick D; Saberi M; Stevenson M; Thompson J; Winters M; Nelson T; Leao SZ; Seneviratne S; Pettit C; Vu HL; Nice K; Beck B, 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

Masoumi H; Shirowzhan S; Eskandarpour P; Pettit CJ, 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

Beck B; Winters M; Nelson T; Pettit C; Leao SZ; Saberi M; Thompson J; Seneviratne S; Nice K; Stevenson M, 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

Zare P; Pettit C; Leao S; Gudes O, 2022, 'Digital Bicycling Planning: A Systematic Literature Review of Data-Driven Approaches', Sustainability (Switzerland), 14, http://dx.doi.org/10.3390/su142316319

Del Rosario L; Laffan SW; Pettit CJ, 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

Soltani A; Heydari M; Aghaei F; Pettit CJ, 2022, 'Housing price prediction incorporating spatio-temporal dependency into machine learning algorithms', Cities, 131, http://dx.doi.org/10.1016/j.cities.2022.103941

Soundararaj B; Pettit C; Lock O, 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

Zare P; Pettit C; Leao S; Gudes O; Soundararaj B; Zarpelon Leao S, 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

Gao Q; Shi V; Pettit C; Han H, 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

Aleksandrov M; Barton J; Pettit C; Soundararaj B; Zlatanova S, 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

Zhu Z; Shirowzhan S; Pettit CJ, 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

Daniel C; Pettit C, 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

Ng MKM; Roper J; Lee CL; Pettit C, 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

He W; Shirowzhan S; Pettit CJ, 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

Lu Y; Laffan S; Pettit C, 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

Pettit CJ; Leao SZ; Lock O; Ng M; Reades J; Zarpelon Leao S, 2022, 'Big Data: The Engine to Future Cities—A Reflective Case Study in Urban Transport', Sustainability (Switzerland), 14, pp. 1727, http://dx.doi.org/10.3390/su14031727

Lock O; Pettit C, 2022, 'Developing Participatory Analytics Techniques to Inform the Prioritisation of Cycling Infrastructure', ISPRS International Journal of Geo-Information, 11, http://dx.doi.org/10.3390/ijgi11020078

Rittenbruch M; Foth M; Mitchell P; Chitrakar R; Christensen B; Pettit C, 2022, 'Co-Designing Planning Support Systems in Urban Science: The Questions They Answer and the Questions They Raise', Journal of Urban Technology, 29, pp. 7 - 32, http://dx.doi.org/10.1080/10630732.2021.1980319

Del Rosario L; Laffan SW; Slavich E; Pettit CJ, 2022, 'Estimating door-to-door travel time using a synthetic population enriched with smart card data', International Journal of Geographical Information Science, 36, pp. 1699 - 1718, http://dx.doi.org/10.1080/13658816.2022.2050733

Debnath R; Pettit C; Leao SZ, 2022, 'Geodesign Approaches to City Resilience Planning: A Systematic Review', Sustainability (Switzerland), 14, http://dx.doi.org/10.3390/su14020938

Perry JM; Shirowzhan S; Pettit CJ, 2022, 'Lockout, Lockdown and Land Use: Exploring the Spatio-Temporal Evolution Patterns of Licensed Venues in Sydney, Australia between 2012 and 2021 in the Context of NSW Public Policy', Buildings, 12, http://dx.doi.org/10.3390/buildings12010035

Thackway WT; Ng MKM; Lee CL; Shi V; Pettit CJ, 2022, 'Spatial Variability of the ‘Airbnb Effect’: A Spatially Explicit Analysis of Airbnb’s Impact on Housing Prices in Sydney', ISPRS International Journal of Geo-Information, 11, pp. 65, http://dx.doi.org/10.3390/ijgi11010065

Hooper P; Boulange C; Arciniegas G; Foster S; Bolleter J; Pettit C, 2021, 'Exploring the potential for planning support systems to bridge the research-translation gap between public health and urban planning', International Journal of Health Geographics, 20, pp. 1 - 17, http://dx.doi.org/10.1186/s12942-021-00291-z

Ulpiani G; Nazarian N; Zhang F; Pettit CJ, 2021, 'Towards a Living Lab for Enhanced Thermal Comfort and Air Quality: Analyses of Standard Occupancy, Weather Extremes, and COVID-19 Pandemic', Frontiers in Environmental Science, 9, pp. 725974, http://dx.doi.org/10.3389/fenvs.2021.725974

Soltani A; Pettit CJ; Heydari M; Aghaei F, 2021, 'Housing price variations using spatio-temporal data mining techniques', Journal of Housing and the Built Environment, 36, pp. 1199 - 1227, http://dx.doi.org/10.1007/s10901-020-09811-y

Thackway WT; Pettit CJ, 2021, 'Airbnb during COVID-19 and what this tells us about Airbnb’s Impact on Rental Prices', Findings, http://dx.doi.org/10.32866/001c.23720

Boufous S; Beck B; Macniven R; Pettit C; Ivers R, 2021, 'Facilitators and barriers to cycling in older residents of New South Wales, Australia', Journal of Transport and Health, 21, http://dx.doi.org/10.1016/j.jth.2021.101056

Lieske SN; Leao SZ; Conrow L; Pettit C, 2021, 'Assessing geographical representativeness of crowdsourced urban mobility data: An empirical investigation of Australian bicycling', Environment and Planning B: Urban Analytics and City Science, 48, pp. 775 - 792, http://dx.doi.org/10.1177/2399808319894334

Bagloee SA; Heshmati M; Dia H; Ghaderi H; Pettit C; Asadi M, 2021, 'Blockchain: The operating system of smart cities', Cities, 112, http://dx.doi.org/10.1016/j.cities.2021.103104

Lock O; Bain M; Pettit C, 2021, 'Towards the collaborative development of machine learning techniques in planning support systems – a Sydney example', Environment and Planning B: Urban Analytics and City Science, 48, pp. 484 - 502, http://dx.doi.org/10.1177/2399808320939974

Daniel C; Pettit C, 2021, 'Digital disruption and planning–use of data and digital technology by professional planners, and perceptions of change to planning work', Australian Planner, 57, pp. 50 - 64, http://dx.doi.org/10.1080/07293682.2021.1920995

Han H; Kim S; Jin MY; Pettit C, 2021, 'Providing affordable housing through urban renewal projects in Australia: Expert opinions on barriers and opportunities', International Review for Spatial Planning and Sustainable Development, 9, pp. 41 - 61, http://dx.doi.org/10.14246/IRSPSD.9.2_41

Lock O; Bednarz T; Pettit C, 2021, 'The visual analytics of big, open public transport data–a framework and pipeline for monitoring system performance in Greater Sydney', Big Earth Data, 5, pp. 134 - 159, http://dx.doi.org/10.1080/20964471.2020.1758537

Visner M; Shirowzhan S; Pettit C, 2021, 'Spatial Analysis, Interactive Visualisation and GIS-Based Dashboard for Monitoring Spatio-Temporal Changes of Hotspots of Bushfires over 100 Years in New South Wales, Australia', Buildings, 11, http://dx.doi.org/10.3390/buildings11020037

Leao S; Shi V; Han H; Pettit C; van den Nouwelant R; Praharaj S, 2020, 'A rapid analytics tool to map the effect of rezoning on property values', Computers, Environment and Urban Systems, 86, pp. 101572, http://dx.doi.org/10.1016/j.compenvurbsys.2020.101572

Ul Hussnain MQ; Waheed A; Wakil K; Jabbar JA; Pettit CJ; Tahir A, 2020, 'Evaluating a workflow tool for simplifying scenario planning with the online whatif? Planning support system', ISPRS International Journal of Geo-Information, 9, http://dx.doi.org/10.3390/ijgi9120706

Lu Y; Laffan S; Pettit C; Cao M, 2020, 'Land use change simulation and analysis using a vector cellular automata (CA) model: A case study of Ipswich City, Queensland, Australia', Environment and Planning B: Urban Analytics and City Science, 47, pp. 1605 - 1621, http://dx.doi.org/10.1177/2399808319830971

Pettit C; Shi Y; Han H; Rittenbruch M; Foth M; Lieske S; van den Nouwelant R; Mitchell P; Leao S; Christensen B; Jamal M, 2020, 'A new toolkit for land value analysis and scenario planning', Environment and Planning B: Urban Analytics and City Science, 47, pp. 1490 - 1507, http://dx.doi.org/10.1177/2399808320924678

Lock O; Pettit C, 2020, 'Social media as passive geo-participation in transportation planning – how effective are topic modeling & sentiment analysis in comparison with citizen surveys?', Geo-spatial Information Science, http://dx.doi.org/10.1080/10095020.2020.1815596

Çöltekin A; Lochhead I; Madden M; Christophe S; Devaux A; Pettit C; Lock O; Shukla S; Herman L; Stachoň Z; Kubíček P; Snopková D; Bernardes S; Hedley N, 2020, 'Extended reality in spatial sciences: A review of research challenges and future directions', ISPRS International Journal of Geo-Information, 9, http://dx.doi.org/10.3390/ijgi9070439

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