Matthew Ng
Biographic Data
| ID | 6312900 |
|---|---|
| NAME | Matthew Ng |
| GIVEN NAMES | Matthew |
| FAMILY NAME | Ng |
| SIGNATURE | NG M |
| AFFILIATIONS | UNSW Sydney |
| ORCID | 0000-0003-1748-8906 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Aligning green spaces with human activity
Laughing Back at Empire
Implementing a deep-learning model using Google street view to combine social and physical indicators of gentrification
Building a predictive machine learning model of gentrification in Sydney
The Reflection of Income Segregation and Accessibility Cleavages in Sydney’s House Prices
Cities often show residential income segregation, and the price of housing is generally related to employment accessibility, but how do these factors intersect? We analyse Greater Sydney, Australia, a metropolitan area of 5 million people. Sydney is found to have reasonably even employment accessibility by car, reflecting the increasingly polycentric nature of the modern city; however, it also shows considerable income segregation and variance in…
Spatial Variability of the ‘Airbnb Effect’
Over the last decade, the emergence and significant growth of home-sharing platforms, such as Airbnb, has coincided with rising housing unaffordability in many global cities. It is in this context that we look to empirically assess the impact of Airbnb on housing prices in Sydney—one of the least affordable cities in the world. Employing a hedonic property valuation model, our results indicate that Airbnb’s overall effect is positive. A 1% increa…
Short‐Term Rental Platform in the Urban Tourism Context
This article contributes to advancing the knowledge on the phenomenon of the most popular short‐term rental platforms, Airbnb. By implementing a geographically weighted regression (GWR) and its multiscale form, MGWR, we examine the relationship between Airbnb locations and the core elements of urban tourism including hotels, food and beverages (F&B) venues, as well as access to public transport. This article’s contributions are twofold: methodolo…
Short‐Term Rental Platform in the Urban Tourism Context
This article contributes to advancing the knowledge on the phenomenon of the most popular short‐term rental platforms, Airbnb. By implementing a geographically weighted regression (GWR) and its multiscale form, MGWR, we examine the relationship between Airbnb locations and the core elements of urban tourism including hotels, food and beverages (F&B) venues, as well as access to public transport. This article’s contributions are twofold: methodolo…
The Reflection of Income Segregation and Accessibility Cleavages in Sydney’s House Prices
Cities often show residential income segregation, and the price of housing is generally related to employment accessibility, but how do these factors intersect? We analyse Greater Sydney, Australia, a metropolitan area of 5 million people. Sydney is found to have reasonably even employment accessibility by car, reflecting the increasingly polycentric nature of the modern city; however, it also shows considerable income segregation and variance in…
Spatial Variability of the ‘Airbnb Effect’
Over the last decade, the emergence and significant growth of home-sharing platforms, such as Airbnb, has coincided with rising housing unaffordability in many global cities. It is in this context that we look to empirically assess the impact of Airbnb on housing prices in Sydney—one of the least affordable cities in the world. Employing a hedonic property valuation model, our results indicate that Airbnb’s overall effect is positive. A 1% increa…
Implementing a deep-learning model using Google street view to combine social and physical indicators of gentrification
Building a predictive machine learning model of gentrification in Sydney
Laughing Back at Empire
Aligning green spaces with human activity
Geography (5 works) · Sociology (4 works) · Economic geography (3 works) · Economics (3 works) · Housing Market and Economics (3 works) · Political science (3 works) · Business (2 works) · Civil engineering (2 works) · Computer Science (2 works) · Econometrics (2 works)