| Short‐term rental platform in the urban tourism context: A geographically weighted regression (GWR) and a multiscale GWR (MGWR) approaches Z Shabrina, B Buyuklieva, MKM Ng Geographical Analysis 53 (4), 686-707, 2021 | 75 | 2021 |
| Implementing a deep-learning model using Google street view to combine social and physical indicators of gentrification W Thackway, M Ng, CL Lee, C Pettit Computers, Environment and Urban Systems 102, 101970, 2023 | 19 | 2023 |
| Building a predictive machine learning model of gentrification in Sydney W Thackway, M Ng, CL Lee, C Pettit Cities 134, 104192, 2023 | 18 | 2023 |
| High-resolution global climate simulations: Representation of cities D Hertwig, M Ng, S Grimmond, PL Vidale, PC McGuire International Journal of Climatology 41 (5), 3266-3285, 2021 | 17 | 2021 |
| Spatial variability of the ‘Airbnb effect’: A spatially explicit analysis of Airbnb’s impact on housing prices in Sydney WT Thackway, MKM Ng, CL Lee, V Shi, CJ Pettit ISPRS International Journal of Geo-Information 11 (1), 65, 2022 | 15 | 2022 |
| Big data: the engine to future cities—a reflective case study in urban transport CJ Pettit, S Zarpelon Leao, O Lock, M Ng, J Reades Sustainability 14 (3), 1727, 2022 | 11 | 2022 |
| Aggregation functions for simultaneous attitude and image estimation with event cameras at high angular rates M Ng, ZM Er, GS Soh, S Foong IEEE Robotics and Automation Letters 7 (2), 4384-4391, 2022 | 7 | 2022 |
| Characterising Land Cover Change in Brunei Darussalam’s Capital District MKM Ng, Z Shabrina, B Buyuklieva Applied Spatial Analysis and Policy, 2022 | 6 | 2022 |
| The reflection of income segregation and accessibility cleavages in Sydney’s house prices MKM Ng, J Roper, CL Lee, C Pettit ISPRS International Journal of Geo-Information 11 (7), 413, 2022 | 5 | 2022 |
| Airbnb, hotels, and saturation of the food industry: A multi-scale GWR approach Z Shabrina, B Buyuklieva, MKM Ng arXiv preprint arXiv:1905.12543, 2019 | 5 | 2019 |
| Understanding the economic value of walkable cities J Roper, C Pettit, M Ng Urban informatics and future cities, 277-299, 2021 | 4 | 2021 |
| A Blueprint to Tackle Queensland's Housing Crisis H Pawson, A Clarke, J Moore, R van den Nouwelant, M Ng Queensland Council of Social Service, 2023 | 3 | 2023 |
| Colouring Australia: a participatory open data platform J Roper, P Hudson, H Petersen, C Pettit, T Russell, M Ng ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2022 | 3 | 2022 |
| Incorporating diminishing returns to opportunities in access J Roper, M Ng, C Pettit Journal of Transport and Land Use 16 (1), 361-387, 2023 | 1 | 2023 |
| Urban Growth in Brunei: The Interplay between Policy, Land-use, and Accessibility MKM Ng UCL (University College London), 2020 | 1 | 2020 |
| From Urban Clusters to Megaregions: Mapping Australia's Evolving Urban Regions MK Ng, Z Shabrina, S Sarkar, H Han, C Pettit arXiv preprint arXiv:2408.09054, 2024 | | 2024 |
| A participatory mapping approach to capturing perceived walkability J Roper, M Ng, J Huck, C Pettit Transportation Research Part A: Policy and Practice 186, 104133, 2024 | | 2024 |
| Data Driven Vulnerability Outlook on Beirut’s Neighborhoods M Ng, M Salhab https://www.lb.undp.org/content/lebanon/en/home/accelerator-labs/socio …, 2021 | | 2021 |
| WalkTHERE: Travel from Home to Everywhere Required Everyday-An open-source walkability index based on multi-activity accessibility J Roper, M Ng, C Pettit | | |
Christopher J PettitProfessor of Urban Science, University of New South Wales在 unsw.edu.au 的电子邮件经过验证
