Lecturer

Dr Matthew Ng

Arts,Design & Architecture
City Futures Research Centre

 

Matthew is as a data scientist and fellow in urban analytics at the City Futures Research Centre. His interests lie in understanding the dynamics of urban structures based on their underlying transport, demographic, and economic networks; their linkages in ongoing processes of decay, renewal, and gentrification; and, the role of urban big data and analytics in substantiating development policies to facilitate or intervene in these processes. He holds a PhD from the Bartlett Centre for Advanced Spatial Analysis, an MSc in International Planning from the Bartlett School of Planning, and a BSc (Hons) in Biology from the University of Manchester.

He was a part of the award-winning Value Australia project, which employed advanced research methodologies and state-of-the-art analytics, including machine learning and artificial intelligence, to create secure digital valuation models for various land and property types throughout Australia. Additionally, Matthew serves as the Regional Lead in Asia Pacific in the Colouring Cities Research Programme, based at the Alan Turing Institute in London. This program aims to democratise urban data and facilitate the generation and collection of new data through citizen science initiatives and collaborations with official data custodians.

Matthew is open to supervising research students whose interests align with his areas of expertise.

 

Location
City Futures Research Centre, University of New South Wales Level 3, Red Centre – West Wing, Sydney, 2052
  • Book Chapters | 2022
    Ng M; Soundararaj B; Pettit C, 2022, 'Digital Transformations in Planning: An Australian Context', in Mori H; Yoshida T; Anttiroiko A-V (ed.), City, Public Value, and Capitalism New Urban Visions and Public Strategies, Northwestern Roberta Buffett Institute for Global Affairs, Evanston, Illinois, pp. 221 - 237, http://dx.doi.org/10.21985/n2-w74g-x218
    Book Chapters | 2021
    Roper J; Pettit C; Ng M, 2021, 'Understanding the Economic Value of Walkable Cities', in Urban Informatics and Future Cities, pp. 277 - 299, http://dx.doi.org/10.1007/978-3-030-76059-5_15
  • Journal articles | 2023
    Thackway W; Ng M; Lee CL; Pettit C, 2023, 'Building a predictive machine learning model of gentrification in Sydney', Cities, 134, http://dx.doi.org/10.1016/j.cities.2023.104192
    Journal articles | 2023
    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 - 101970, http://dx.doi.org/10.1016/j.compenvurbsys.2023.101970
    Journal articles | 2022
    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, http://dx.doi.org/10.3390/ijgi11070413
    Journal articles | 2022
    Ng MKM; Shabrina Z; Buyuklieva B, 2022, 'Characterising Land Cover Change in Brunei Darussalam’s Capital District', Applied Spatial Analysis and Policy, 15, pp. 919 - 946, http://dx.doi.org/10.1007/s12061-021-09429-9
    Journal articles | 2022
    Pettit CJ; Leao SZ; Lock O; Ng M; Reades J, 2022, 'Big Data: The Engine to Future Cities—A Reflective Case Study in Urban Transport', Sustainability (Switzerland), 14, http://dx.doi.org/10.3390/su14031727
    Journal articles | 2022
    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 - 65, http://dx.doi.org/10.3390/ijgi11010065
    Journal articles | 2021
    Shabrina Z; Buyuklieva B; Ng MKM, 2021, 'Short-Term Rental Platform in the Urban Tourism Context: A Geographically Weighted Regression (GWR) and a Multiscale GWR (MGWR) Approaches', Geographical Analysis, 53, pp. 686 - 707, http://dx.doi.org/10.1111/gean.12259
  • Reports | 2023
    Pawson H; Clarke A; Moore J; van den Nouwelant R; Ng M, 2023, A blueprint to tackle Queensland's housing crisis, Queensland Council of Social Services, Brisbane, https://www.qcoss.org.au/publication/report-a-blueprint-to-tackle-queenslands-housing-crisis/
    Reports | 2022
    Ng M; Crommelin L; Pettit C, 2022, Housing Delivery Targets and Benchmarks in New South Wales
    Patents | 2022
    Pettit C; Randolph B; Han H; Lee CL; Shi Y; Ng M; Soundararaj B; Lu Y; Gao Q; Jayasekare A, 2022, Digital models and tools for valuation of land and property, Patent No.
    Conference Papers | 2022
    Roper J; Hudson P; Petersen H; Pettit C; Russell T; Ng MKM, 2022, 'Colouring Australia: a participatory open data platform', ISPRS International Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Sydney, presented at 7th Smart Data Cities & 17th 3D GeoInfo, Sydney, 19 October 2022
    Conference Papers | 2022
    Roper J; Ng M; Pettit C, 2022, 'Walking accessibility: a new method and comparison of two capital cities', Universities’ Transport Study Group, Edinburgh, presented at 54th Annual Universities’ Transport Study Group, Edinburgh, 04 July 2022
    Reports | 2021
    Ng M; Salhab M, 2021, Data Driven Vulnerability Outlook on Beirut’s Neighborhoods, https://www.undp.org/lebanon/data-driven-vulnerability-outlook-beirut%E2%80%99s-neighborhoods-0
    Preprints | 2021
    Ng MKM; Pettit C, 2021, Digital Transformations in Planning: An Australian Context, , http://dx.doi.org/10.31235/osf.io/5k4sz
    Preprints | 2021
    Ng MKM; Roper J; Pettit C; Lee CL, 2021, The Reflection of Income Segregation and Accessibility Cleavages in Sydney’s House Prices, , http://dx.doi.org/10.31235/osf.io/2psk5
    Preprints | 2021
    Thackway W; Ng MKM; Lee CL; Pettit C, 2021, Building a predictive machine learning model of gentrification in Sydney, , http://dx.doi.org/10.31235/osf.io/hkc96
    Preprints | 2021
    Thackway W; Ng MKM; Lee CL; Shi V; Pettit C, 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

My Research Supervision

Josephine Roper

William Thackway