Revealing the non-linear and interacting effect of six subcategories’ construction land on energy-related carbon emissions based on interpretable machine learning
Evidence from 2859 counties in China
Bibliographic Data
| ID | 7397267 |
|---|---|
| Authors | Ziyan Liu (0000-0002-0282-7314), Ling Han (0000-0002-3088-0374), Liangzhi Li (0000-0002-1513-1498) |
| Year | 2025 |
| Volume | 10 |
| Pages | 101075-101075 |
| Publication date | 2025-08-19 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Futures (JOURNAL) |
| Journal identifiers | ISSN: 2666-1888 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.sftr.2025.101075 |
| OpenAlex | W4413344473 |
| Language | EN |
| Citations received | 1 |
| References cited | 56 |
Archaeology · Business · Carbon fibers · China · Econometrics · Economics · Energy (signal processing · Environmental economics · Geography · Natural resource economics · Statistics · Computer Science · Environmental Impact and Sustainability · Environmental Science · Land Use and Ecosystem Services · Mathematics · Urban Green Space and Health
Challenges and opportunities for carbon neutrality in China
Reduced carbon emission estimates from fossil fuel combustion and cement production in China
Developing China’s Ecological Redline Policy using ecosystem services assessments for land use planning
Examining the impacts of socioeconomic factors, urban form, and transportation networks on CO2 emissions in China’s megacities
A global review of energy consumption, CO 2 emissions and policy in the residential sector (with an overview of the top ten CO 2 emitting countries)
Urbanisation, energy consumption, and carbon dioxide emissions in China
Impacts of urbanization and industrialization on energy consumption/CO2 emissions
A low energy demand scenario for meeting the 1.5 °C target and sustainable development goals without negative emission technologies
How China could be carbon neutral by mid-century
The Open-source Data Inventory for Anthropogenic CO 2 , version 2016 (Odiac2016)
Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools
County-level land use carbon emissions in China
Mapping the spatial-temporal changes in energy consumption-related carbon emissions in the Beijing-Tianjin-Hebei region via nighttime light data
Spatiotemporal modeling of urban land cover changes and carbon storage ecosystem services
Urban density and climate change
Carbon reduction of urban form strategies
Can annual land use plan control and regulate construction land growth in China
The impact of land urbanization on carbon dioxide emissions in the Yangtze River Delta, China
Success or failure
Exploring the key influencing factors of low-carbon innovation from urban characteristics in China using interpretable machine learning
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |