Dynamic multi-dimensional scaling of 30+ year evolution of Chinese urban systems: Patterns and performance

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Ning, Ying;Liu, Shuguang;Smith, Andrew R.;Qiu, Yi;Gao, Haiqiang;...

通讯作者：

Liu, Shuguang(shuguang.liu@yahoo.com)

作者机构：

[Liu, Shuguang; Ning, Ying; Feng, Shuailong; Gao, Haiqiang] Cent South Univ Forestry & Technol CSUFT, Natl Engn Lab Appl Technol Forestry & Ecol South C, Changsha 410004, Peoples R China.

[Liu, Shuguang; Ning, Ying; Feng, Shuailong; Gao, Haiqiang] Coll Life Sci & Technol, CSUFT, Changsha 410004, Peoples R China.

[Smith, Andrew R.] Bangor Univ, Environm Ctr Wales, Sch Nat Sci, Bangor LL57 2UW, Wales.

[Qiu, Yi] Coll Business, CSUFT, Changsha 410004, Peoples R China.

[Lu, Yonglong] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China.

通讯机构：

[Shuguang Liu] N

National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology (CSUFT), Changsha 410004, China<&wdkj&>College of Life Science and Technology, CSUFT, Changsha 410004, China

语种：

英文

关键词：

Cross-sectional scaling;Power law;Temporal scaling;The evolution of cities;Urban growth;Urban sustainability

期刊：

Science of The Total Environment

ISSN：

0048-9697

年：

2023

卷：

863

页码：

160705

DOI：

10.1016/j.scitotenv.2022.160705

基金类别：

CRediT authorship contribution statement Ying Ning: Methodology, Software, Data curation, Visualization, Writing – original draft. Shuguang Liu: Conceptualization, Methodology, Project administration, Supervision, acquisition, Writing – review & editing. Andrew R. Smith: Writing – review & editing. Yi Qiu: Writing – review & editing. Haiqiang Gao: Writing – review & editing. Yonglong Lu: Writing – review & editing. Wenping Yuan: Writing – review & editing. Shuailong Feng: Writing – review & editing.

机构署名：

本校为第一机构

院系归属：

生命科学与技术学院

商学院

摘要：

Understanding the co-evolution and organizational dynamics of urban properties (i.e., urban scaling) is the science base for pursuing synergies toward sustainable cities and society. The generalization of urban scaling theory yet requires more studies from various developmental regimes and across time. Here, we extend the universality proposition by exploring the evolution of longitudinal and transversal scaling of Chinese urban attributes between 1987 and 2018 using a global artificial impervious area (GAIA) remotely sensed dataset, harmonized...

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Dynamic multi-dimensional scaling of 30+ year evolution of Chinese urban systems: Patterns and performance

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