Compact infill expansion: A spatially efficient and low-carbon path to sustainable urbanization
文献类型：期刊论文
| 作者 | Wang, Bo5; Yu, Peiheng1; Wang, Jiaxue5; Wei, Yujiao5; Li, Zhuoling5; Leng, Ao5; He, Qingsong3; Li, Zhigang4; Liu, Yaolin5,6; Chen, Yiyun2,5 |
| 刊名 | SUSTAINABLE CITIES AND SOCIETY
 |
| 出版日期 | 2025-12-15 |
| 卷号 | 135页码:106979 |
| 关键词 | Urban growth pattern Green development efficiency Interpretable machine learning Nonlinear association Sustainable urban planning |
| ISSN号 | 2210-6707 |
| DOI | 10.1016/j.scs.2025.106979 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Urban growth patterns (UGP) optimization and urban expansion's green development efficiency (UEGDE) enhancement are vital for sustainable cities and communities. Yet, it remains unclear which UGP best supports green development, and how urban features exert complex influences on UEGDE across different UGPs. Here, we integrate multi-source geospatial data, Super-efficiency Slacks-Based Measure, and interpretable machine learning to develop a synergistic analytical framework that links urban form and function. Specifically, we spatially explicitly quantified the UGP and UEGDE of 84,331 newly built-up urban patches in China, and then investigated the spatial differentiation and nonlinear driving mechanisms of UEGDE under three UGPs. Results reveal that edge expansion dominates China's urban growth trajectory, followed by infill and outlying expansion. Nationwide, 28.2% of newly built-up patches are identified as inefficient, high-carbon expansions, with this proportion rising to 40% in outlying areas. In contrast, compact infill expansion emerges as the most sustainable UGP, with UEGDE 63.7% and 101.2% higher than edge and outlying growth, respectively. Urban socio-economic and ecological features generally exhibit nonlinear relationships with UEGDE that vary by UGP. For infill expansion, GDP density, population density, and high-tech enterprise density are primary drivers, while for outlying expansion, energy efficiency, land prices, and net primary productivity are more critical. For the three UGPs, GDP density, energy efficiency, land prices, and net primary productivity need to exceed specific thresholds to positively influence UEGDE, while excessive population, road, residential, and manufacturing decrease it. Moreover, the negative interactions and positive synergies among urban economic, energy, and density features jointly affect UEGDE. These findings offer valuable insights that support targeted intervention strategies and density regulation for sustainable urbanization. |
| URL标识 | 查看原文 |
| WOS关键词 | LAND-USE ; URBAN ; CHINA |
| WOS研究方向 | Construction & Building Technology ; Science & Technology - Other Topics ; Energy & Fuels |
| 语种 | 英语 |
| WOS记录号 | WOS:001620559800001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217651]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Chen, Yiyun |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 2.Minist Nat Resources, Key Lab Digital Cartog & Land Informat Applicat En, Wuhan 430079, Peoples R China 3.Huazhong Univ Sci & Technol, Coll Publ Adm, Wuhan 430074, Peoples R China; 4.Wuhan Univ, Sch Urban Design, Wuhan 430072, Hubei, Peoples R China; 5.Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China; 6.Duke Kunshan Univ, 8 Duke Ave, Kunshan 215316, Jiangsu, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Wang, Bo,Yu, Peiheng,Wang, Jiaxue,et al. Compact infill expansion: A spatially efficient and low-carbon path to sustainable urbanization[J]. SUSTAINABLE CITIES AND SOCIETY,2025,135:106979. |
| APA | Wang, Bo.,Yu, Peiheng.,Wang, Jiaxue.,Wei, Yujiao.,Li, Zhuoling.,...&Chen, Yiyun.(2025).Compact infill expansion: A spatially efficient and low-carbon path to sustainable urbanization.SUSTAINABLE CITIES AND SOCIETY,135,106979. |
| MLA | Wang, Bo,et al."Compact infill expansion: A spatially efficient and low-carbon path to sustainable urbanization".SUSTAINABLE CITIES AND SOCIETY 135(2025):106979. |
入库方式： OAI收割
来源：地理科学与资源研究所
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