Containing urban sprawl in China
A cross-city evaluation of urban development boundaries using U-Net deep learning
Bibliographic Data
| ID | 11375422 |
|---|---|
| Authors | Qiaoran Yang (0000-0003-2418-0475), Qing‐xu Yang (Chongqing University), Jinzhu Wang (0000-0002-5602-7398, Deakin University), Yong Liu (0000-0001-6741-4863, Chongqing University, corresponding author), Yihao Zhang (0000-0003-2734-0358, Chongqing University), Wenze Yue (0000-0002-9251-4812, Zhejiang University, corresponding author) |
| Year | 2025 |
| Volume | 164 |
| Pages | 103534 |
| Publication date | 2025-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Habitat International (JOURNAL) |
| Journal identifiers | ISSN: 0197-3975 • E-ISSN: 1873-5428 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.habitatint.2025.103534 |
| OpenAlex | W4412931657 |
| Language | EN |
| Citations received | 2 |
| References cited | 75 |
Archaeology · China · Civil engineering · Environmental planning · Geography · Urban planning · Urban sprawl · Engineering · Human Mobility and Location-Based Analysis · Land Use and Ecosystem Services · Urban Design and Spatial Analysis
The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019
Deep learning and process understanding for data-driven Earth system science
Urban land expansion and regional inequality in transitional China
Morphological segmentation of binary patterns
Comparing the input, output, and validation maps for several models of land change
Provincial and gridded population projection for China under shared socioeconomic pathways from 2010 to 2100
Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method
A new landscape index for quantifying urban expansion using multi-temporal remotely sensed data
Fragstats
How polycentric is urban China and why? A case study of 318 cities
Do Land-Use Controls Cause Sprawl?
Global 1 km × 1 km gridded revised real gross domestic product and electricity consumption during 1992–2019 based on calibrated nighttime light data
Urban sprawl measurement from remote sensing data
Simulating large-scale urban land-use patterns and dynamics using the U-Net deep learning architecture
Towards automatic calibration of neighbourhood influence in cellular automata land-use models
How effective are greenbelts at mitigating urban sprawl? A comparative study of 60 European cities
Wrestling Sprawl to the Ground
Spatially explicit global population scenarios consistent with the Shared Socioeconomic Pathways
Modelling urban change with cellular automata
Assessing growth management policy implementation
Containing urban sprawl—Evaluating effectiveness of urban growth boundaries set by the Swiss Land Use Plan
Evaluating the effectiveness of development-limiting boundary control policy
Local interests or centralized targets? How China’s local government implements the farmland policy of Requisition–Compensation Balance
Urban growth boundary and subway development
Urban growth boundaries of the Beijing Metropolitan Area
Scenario-based urban growth simulation by incorporating ecological-agricultural-urban suitability into a Future Land Use Simulation model
Impact of the top-down quota-oriented farmland preservation planning on the change of urban land-use intensity in China
How do local governments respond to national urban containment policies? Evidence from China
Do plans contain urban sprawl? A comparison of Beijing and Taipei
Modeling urban growth boundary based on the evaluation of the extension potential
Nature-based solutions for urban expansion
Quantifying multiple effects of land finance on urban sprawl
The Effects of Portland's Urban Growth Boundary on Urban Development Patterns and Commuting
Multi-scenario urban growth boundaries and trade-offs among land use functions
Compact, Dispersed, Fragmented, Extensive? A Comparison of Urban Growth in Twenty-five Global Cities using Remotely Sensed Data, Pattern Metrics and Census Information
| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |