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Community-Scale Classification and Governance Policy Implications for Demographic, Economic, and Land-Use Linkages in Mega-Cities

文献类型：期刊论文

作者Mao, Yonghong4,5; Fan, Jie4,5; Zhou, Daojing4; He, Yao2,3,5; Yuan, Meng1; Zhang, Huixin1
刊名LAND
出版日期2024-04-01
卷号13期号:4页码:18
关键词land use time series sustainability spatial pattern coupling analysis
DOI10.3390/land13040441
英文摘要Analyzing the spatio-temporal relationship between socio-economics and land-use structure at the micro-scale is crucial for effective spatial governance in large cities. This paper focuses on Beijing, utilizing long time-series remote sensing images and multi-source data spanning 30 years. We employ spatio-temporal clustering based on kilometer grid cells and a community-scale multi-factor aggregation method to categorize the linkages and spatio-temporal matching of population, GDP, land development, and ecological protection at the community level in a problem-oriented approach. Results indicate significant changes in Beijing's population, GDP, and land use, with a 11.53% increase in land development intensity. We identify significant temporal and spatial disparities between population-GDP dynamics, population-land development trends, and GDP-land development patterns, underscoring the multifaceted challenges inherent in urban governance. Areas characterized by lagging population concentration, sluggish economic growth, rampant land development, and ecological fragility collectively encapsulate notable portions of Beijing's expansive urban terrain. Mismatches pose governance risks, with medium to high-risk communities comprising 18.08% of community units and high-risk types representing 4.27% in Beijing. These discrepancies pose formidable governance risks, with communities ranging from moderate to high-risk categories, necessitating tailored interventions to address their unique challenges. This systematic exploration of comprehensive governance issues within mega-cities promises to furnish decision-makers with invaluable insights, facilitating nuanced and strategic urban governance approaches tailored to the intricacies of urban dynamics and challenges.
WOS关键词BEIJING CITY ; URBANIZATION ; PRODUCTIVITY ; DYNAMICS ; GROWTH
资助项目National Key R&D Program of China
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001221429600001
出版者MDPI
资助机构National Key R&D Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/205850]  
专题区域可持续发展分析与模拟院重点实验室_外文论文
通讯作者Fan, Jie
作者单位1.Nanjing Normal Univ, Sch Geog, Nanjing 210023, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
4.Chinese Acad Sci, Inst Sci & Dev, Beijing 100190, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Mao, Yonghong,Fan, Jie,Zhou, Daojing,et al. Community-Scale Classification and Governance Policy Implications for Demographic, Economic, and Land-Use Linkages in Mega-Cities[J]. LAND,2024,13(4):18.
APA Mao, Yonghong,Fan, Jie,Zhou, Daojing,He, Yao,Yuan, Meng,&Zhang, Huixin.(2024).Community-Scale Classification and Governance Policy Implications for Demographic, Economic, and Land-Use Linkages in Mega-Cities.LAND,13(4),18.
MLA Mao, Yonghong,et al."Community-Scale Classification and Governance Policy Implications for Demographic, Economic, and Land-Use Linkages in Mega-Cities".LAND 13.4(2024):18.

入库方式： OAI收割

来源：地理科学与资源研究所

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