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

Xiangming Xiao

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 949, С. 174909 - 174909

Опубликована: Июль 25, 2024

Язык: Английский

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

Meichen Fu,

Limin Jiao,

Jingling Su

и другие.

Habitat International, Год журнала: 2025, Номер 159, С. 103380 - 103380

Опубликована: Март 23, 2025

Язык: Английский

Процитировано

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

и другие.

Habitat International, Год журнала: 2025, Номер 156, С. 103286 - 103286

Опубликована: Янв. 8, 2025

Язык: Английский

Процитировано

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

Tiangui Lv,

Qian Zhao,

Shufei Fu

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер unknown, С. 144290 - 144290

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

5
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

и другие.

Land, Год журнала: 2024, Номер 13(6), С. 810 - 810

Опубликована: Июнь 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.

Язык: Английский

Процитировано

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

и другие.

Ecological Indicators, Год журнала: 2025, Номер 170, С. 113092 - 113092

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

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

и другие.

Frontiers in Earth Science, Год журнала: 2025, Номер 12

Опубликована: Янв. 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.

Язык: Английский

Процитировано

0
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

и другие.

Environmental Impact Assessment Review, Год журнала: 2025, Номер 114, С. 107946 - 107946

Опубликована: Апрель 10, 2025

Язык: Английский

Процитировано

0
Identification and simulation of ecological zoning in the Yangtze River Delta (YRD) Urban Agglomeration based on Ecological Service Value (ESV)–Landscape Ecological Risk (LER) DOI
Xi Zhou,

Guohua Ji,

Feng Wang

и другие.

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145778 - 145778

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

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

и другие.

Environmental Impact Assessment Review, Год журнала: 2024, Номер 112, С. 107775 - 107775

Опубликована: Дек. 21, 2024

Язык: Английский

Процитировано

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

Xiangming Xiao

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 949, С. 174909 - 174909

Опубликована: Июль 25, 2024

Язык: Английский

Процитировано

1