An integrative social-ecological approach for urban boundary mapping
Bibliographic Data
| ID | 21450802 |
|---|---|
| Authors | Chenmeng Guo (0009-0005-0380-325X, Chinese Academy of Sciences), Guopan Xie (Shandong Province Meteorological Bureau), Wenjuan Yu (0000-0002-1640-2704, Chinese Academy of Sciences, corresponding author), Weiqi Zhou (0000-0002-8589-0107, Chinese Academy of Sciences, corresponding author), Steward T A Pickett (0000-0002-1899-976X, Cary Institute of Ecosystem Studies) |
| Year | 2025 |
| Volume | 180 |
| Pages | 103665 |
| Publication date | 2025-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Applied Geography (JOURNAL) |
| Journal identifiers | ISSN: 0143-6228 • E-ISSN: 1873-7730 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.apgeog.2025.103665 |
| OpenAlex | W4410708421 |
| Language | EN |
| Citations received | 1 |
| References cited | 43 |
Clear definition and accurate delineation of urban boundaries are the prerequisite for urban-rural studies. However, urban boundaries have been typically mapped based either on biophysical or socio-economical properties, resulting in barriers in conducting integrative social-ecological studies. Here, we developed a new approach that integrates the biophysical and socio-economical perspectives for urban boundaries mapping, and tested the approach in mainland of China. First, we divided the study area into 1 × 1 km grids, some of which were classified into urban and rural based on Points of Interest (POIs) and official urban-rural classification. The classified grids were then served as training samples to determine thresholds of impervious surface percentage (ISP) for further urban-rural separation. Combined threshold of ISP (biophysical properties) with connectivity to administrative urban centers (socio-economical properties), the unclassified grids were assigned as either urban or rural. Finally, all urban grids were merged to create China's urban boundary (CUB). The integrative approach improved the accuracy of town mapping and village mapping by 15 % and 17 % respectively, compared with existing urban boundary products. Our approach is thus capable to improve mapping accuracy and provide urban boundary for social-ecological studies in urban-rural areas
Biology · Boundary (topology) · Cartography · Environmental resource management · Geography · Ecology · Environmental Science · Land Use and Ecosystem Services · Mathematics · Remote Sensing and Land Use · Urban Green Space and Health
Sustainability in an urbanizing planet
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Remote sensing of the urban heat island effect across biomes in the continental USA
Global scenarios of urban density and its impacts on building energy use through 2050
Social–ecological hotspots mapping
A General Framework for Analyzing Sustainability of Social-Ecological Systems
Global Change and the Ecology of Cities
Mapping Urban Spatial Structure Based on POI (Point of Interest) Data
Urban mapping needs up-to-date approaches to provide diverse perspectives of current urbanization
Identifying and explaining the farming system composition of agricultural landscapes
New nighttime light landscape metrics for analyzing urban-rural differentiation in economic development at township
Re-thinking rurality
The impact of sub-pixel scale urban function on urban heat island
From center to outlying areas
Integrating 2-D built-up and 3-D technomass reveals the continuity and hybridity of urban-rural gradient
Evaluation of urban-rural difference and integration based on quality of life
Mapping global urban boundaries from the global artificial impervious area (Gaia) data
Mapping urban–rural differences in the worldwide achievement of sustainable development goals
China's Urban Population Statistics
Life between the city and the village
Delineating boundaries of social-ecological systems for landscape planning
The city size distribution debate
Functional urban area delineations of cities on the Chinese mainland using massive Didi ride-hailing records
China's new urbanization plan
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |