Mapping the vertical city
AI-driven analysis of volumetric urban space use
Bibliographic Data
| ID | 21234729 |
|---|---|
| Authors | Yi‐ya Hsu (0000-0002-7874-4638, UNSW Sydney), Hoon Han (0000-0003-3200-7728, UNSW Sydney, corresponding author) |
| Year | 2025 |
| Volume | 131 |
| Pages | 106776 |
| Publication date | 2025-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2025.106776 |
| OpenAlex | W4413848354 |
| Language | EN |
| Citations received | 2 |
| References cited | 41 |
Geography · Geometry · Regional science · Urban space · Computer Science · Human Mobility and Location-Based Analysis · Land Use and Ecosystem Services · Mathematics · Urban Design and Spatial Analysis · Geology
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
Random Forests
Applicability and sensitivity analysis of vector cellular automata model for land cover change
Mixed-cell cellular automata
Optimized green infrastructure planning at the city scale based on an interpretable machine learning model and multi-objective optimization algorithm
Simulating urban land growth by incorporating historical information into a cellular automata model
A three-dimensional future land use simulation (FLUS-3D) model for simulating the 3D urban dynamics under the shared socio-economic pathways
Capturing the distance decay effect of amenities on housing price using explainable artificial intelligence
Land use change simulation and analysis using a vector cellular automata (CA) model
Predicting land use change around railway stations
Measuring the efficiency and driving factors of urban land use based on the DEA method and the PLS-SEM model—A case study of 35 large and medium-sized cities in China
Forecasting land-use changes in Mashhad Metropolitan area using Cellular Automata and Markov chain model for 2016-2030
Assessing the space-use efficiency of French cities by coupling city volumes with mobile data traffic
Machine Learning Algorithms for Urban Land Use Planning
The association between urban density and multiple health risks based on interpretable machine learning
Simulating Seoul's greenbelt policy with a machine learning-based land-use change model
Understanding urban food systems
Urban volumetrics
Understanding the layout of apartments in Sydney
The volumetric city
Diversifying the compact city
Secure the volume
| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |