By Dr Matthew Ng

Journal articles

Roper J; Ng M; Huck J; Pettit C, 2024, 'A participatory mapping approach to capturing perceived walkability', Transportation Research Part A: Policy and Practice, 186, http://dx.doi.org/10.1016/j.tra.2024.104133

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

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

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

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

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

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

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

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