The meliorization process of urban green spaces: Integrating landsense creation for sustainable development DOI

Gaofeng Gong,

Qinghai Guo,

Botian Qiu

et al.

Journal of Geographical Sciences, Journal Year: 2024, Volume and Issue: 34(9), P. 1822 - 1840

Published: Sept. 1, 2024

Language: Английский

Spatio-temporal Evolution Patterns of Flow Space and Its Impact on Urban-Rural Construction Land Transformation: A Case Study of the Yellow River Basin DOI Creative Commons
Wenfeng Chen,

Jiang Jia-lin,

Linna Li

et al.

Sustainable Futures, Journal Year: 2025, Volume and Issue: unknown, P. 100474 - 100474

Published: Jan. 1, 2025

Language: Английский

Citations

0
Exploring the relationship between city size and carbon emissions: An integrated population-land framework DOI

Jinfang Pu,

Fangzhou Xia

Applied Geography, Journal Year: 2025, Volume and Issue: 177, P. 103571 - 103571

Published: Feb. 26, 2025

Language: Английский

Citations

0
Assessment of Low-Carbon Utilization in Territorial Space and Identification of Its Driving Factors: A Case Study of the Yangtze River Economic Belt in China DOI Creative Commons

Liangzhao Chen,

Peng Tang, Jinhua Li

et al.

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 738 - 738

Published: March 29, 2025

The low-carbon utilization (LCU) of territorial space represents a critical strategy for addressing climate change and promoting sustainable development, yet current assessments in this domain remain insufficient. This study develops an integrated assessment framework utilizing kernel density estimation, optimal parameter-based geographical detector, the Tobit regression model to analyze spatiotemporal evolution, typology, driving factors LCU Yangtze River Economic Belt. findings reveal that index region increased from 0.548 2005 0.569 2020, despite significant regional disparities. Cities are classified into eight distinct types LCU, with over 80% demonstrating poor performance at least one functional space, particularly urban where number cities below average is highest. analysis demonstrates spaces influenced by integration natural conditions, socio-economic factors, landscape patterns. In light these findings, systematically proposes policy recommendations enhance space. research contributes establishment scientific evaluation providing empirical evidence improve spatial governance policies support development.

Language: Английский

Citations

0
Resilience assessment and obstacle factors of urban production-living-ecological space: A case study of Ganzhou city, China DOI

Xiaoqiang Tu,

Zhengxin Ji,

Hailian Chen

et al.

Journal of Geographical Sciences, Journal Year: 2025, Volume and Issue: 35(4), P. 846 - 866

Published: April 1, 2025

Language: Английский

Citations

0
The meliorization process of urban green spaces: Integrating landsense creation for sustainable development DOI

Gaofeng Gong,

Qinghai Guo,

Botian Qiu

et al.

Journal of Geographical Sciences, Journal Year: 2024, Volume and Issue: 34(9), P. 1822 - 1840

Published: Sept. 1, 2024

Language: Английский

Citations

1