Thirty years of 3-D urbanization in the Yangtze River Delta, China DOI
Chenglong Yin, Ruishan Chen,

Xiangming Xiao

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 949, P. 174909 - 174909

Published: July 25, 2024

Language: Английский

Urban land system change: Spatial heterogeneity and driving factors of land use intensity in Wuhan, China DOI

Meichen Fu,

Limin Jiao,

Jingling Su

et al.

Habitat International, Journal Year: 2025, Volume and Issue: 159, P. 103380 - 103380

Published: March 23, 2025

Language: Английский

Citations

2
Long-term trends in urban vegetation greenness and its causal relationship with built-up land expansion: A case study of the Yangtze River Delta, China DOI

Luhan Li,

Guangdong Li, Yue Cao

et al.

Habitat International, Journal Year: 2025, Volume and Issue: 156, P. 103286 - 103286

Published: Jan. 8, 2025

Language: Английский

Citations

1
Deciphering flows: Spatial correlation characteristics and factors influencing carbon emission intensity in the Yangtze River Delta DOI

Tiangui Lv,

Qian Zhao,

Shufei Fu

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144290 - 144290

Published: Nov. 1, 2024

Language: Английский

Citations

5
Discerning changes in carbon emission intensity of cultivated land utilization since agricultural green transformation: Based on the motivation-opportunity-ability (MOA) framework DOI

Shufei Fu,

Tiangui Lv,

Guangdong Wu

et al.

Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 114, P. 107946 - 107946

Published: April 10, 2025

Language: Английский

Citations

0
Spatio-Temporal Correlation and Optimization of Urban Development Characteristics and Carbon Balance in Counties: A Case Study of the Anhui Province, China DOI Creative Commons
Yuling Wu,

Hongyun Kan,

Anni Deng

et al.

Land, Journal Year: 2024, Volume and Issue: 13(6), P. 810 - 810

Published: June 6, 2024

Exploring the carbon balance pattern from perspective of urban spatial development is an effective way to solve emissions reduction problem, promote high-quality economic development, and synergize regional “nature–economy” dual system. Taking 105 counties (districts) in Anhui Province as example, based on calculation characteristics 2001, 2010, 2019, we used spatio-temporal leap model analyze combined GWTR geodetic probes explore temporal correlation between characteristics, well their influence mechanisms. The results study show that: (1) shows a general decline time axis, with small recovery, sequence decreases then increases north south. (2) structure southeast central stable, status good, but out balance, are much higher than sinks, mountainous areas west dynamic coordinated, harmony. (3) cities have negative impact at scale-area level positive functional level. Among them, area built-up number largest patches strong explanatory power for main driver heterogeneity balance. (4) budget under can be divided into four regions: development–carbon lopsided area, ecological protection–carbon surplus agglomeration–carbon adjustment potential enhancement–carbon equilibrium area. Based results, needs strengthen construction zones, when formulating low-carbon policies provinces uneven it necessary comprehensively differences build according local conditions.

Language: Английский

Citations

3
Teleconnections detection of land use carbon emissions beyond geographical proximity promotes the construction of cross-city networks DOI Creative Commons
Lei Shen,

Yinghong Jiang,

Duanqiang Zhai

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113092 - 113092

Published: Jan. 1, 2025

Language: Английский

Citations

0
Spatiotemporal characteristics and determinants of urban expansion in China: perspective of urban agglomerations DOI Creative Commons
Ming Li, Yongwang Cao, Jianxin Song

et al.

Frontiers in Earth Science, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 23, 2025

Introduction Urban agglomerations (UAs) are core economic growth centres, and urban construction land is the main spatial carrier of growth. expansion a research hotspot, while previous studies have rarely compared characters determinants within outside UAs. Methods Considering case China, based on China Land Use/Cover Dataset (CLUD), this study use statistics analysis Theil index to compare spatiotemporal characteristics UAs during 1990–2020. Economic models used detect difference influencing factors Results As for characteristics, mainly distributed UAs, especially in at high upper-middle development levels. In 1991–2020, accounted 77.58% total expansion, levels 71.58% The inequality between decreases with fluctuation. rate gradually exceeded that from 2011. driving factors, government stronger power than factors. were more influential agglomerations. Meanwhile, forces played important roles impact increased an upgrade UA level, whereas factors’ decreased level. Discussion findings provide scientific support management. territorial planning will be studied.

Language: Английский

Citations

0
Comprehensive evaluation of land-use carbon emissions integrating social network analysis and a zone-based machine learning approach DOI
Houbao Fan, Xinmin Zhang, Xiao Zhou

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 112, P. 107775 - 107775

Published: Dec. 21, 2024

Language: Английский

Citations

2
Thirty years of 3-D urbanization in the Yangtze River Delta, China DOI
Chenglong Yin, Ruishan Chen,

Xiangming Xiao

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 949, P. 174909 - 174909

Published: July 25, 2024

Language: Английский

Citations

1