Spatio–Temporal Patterns and Driving Mechanisms of Urban Land High-Quality Use: Evidence from the Greater Pearl River Delta Urban Agglomeration DOI Creative Commons
Yuying Li, Danling Chen, Xiangqian Tao

et al.

Land, Journal Year: 2024, Volume and Issue: 13(3), P. 277 - 277

Published: Feb. 23, 2024

Efficient urban land use plays a crucial role in promoting regional development and ensuring economic growth. Analyzing the spatio–temporal pattern of high-quality (ULHU) identifying its key influencing factors pathways can contribute to enhancing efficiency achieving development. This study established comprehensive measurement indicator system for evaluating ULHU using entropy method investigated evolution Greater Pearl River Delta (PRD) agglomeration years 2005, 2010, 2015 2020. Furthermore, multi-period fuzzy-set qualitative comparative analysis was adopted explore concurrent driving mechanisms that impact from configuration perspective. The findings reveal level has exhibited significant improvement, increasing 0.1150 2005 0.2758 2020, with an annual growth rate 8.739%. spatial PRD region exhibits incremental distribution, characterized by higher values central lower peripheral area, as this reveals heterogeneity across region. configurations were identified, such Population-industry-talent driven, Openness-fiscal-talent Population-led, Population-industry driven. Among these configurations, population density industrial structure identified core factors, while talent resources is gradually diminishing. provides practical guidance optimizing national planning.

Language: Английский

Driving mechanisms and multi-scenario simulation of land use change based on National Land Survey Data: a case in Jianghan Plain, China DOI Creative Commons
Heng Zhou,

Mingdong Tang,

Jun Huang

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: July 24, 2024

The Jianghan Plain is simultaneously responsible for ecological protection, food security and urbanization, land use conflicts are prominent. Revealing the driving mechanism of use/cover change (LUCC) simulating pattern can help to coordinate in future. Utilizing National Land Survey Data (NLSD) Jiangling County (2011–2020) patch-generating simulation (PLUS) model, this paper analyzed characteristics evolution, applied random forest classification (RFC) analyze mechanism, simulated 2035 under three scenarios natural development, planning guidance protection through Markov Cellular Automaton based on multiple seeds (CARS) models, proposed several countermeasures. study found that: 1) From 2011 2020, town construction increased, village land, agricultural decreased. 2) factors LUCC were socio-economic factors, spatial descending order. 3) In scenarios, trend expansion, encroachment inevitable by 2035. 4) It imperative actively advocate large-scale mechanization informatization production, encourage repurposing idle inefficiently used facilitate multi-purpose utilization, implement a policy locally balancing occupation compensation cultivated land. 5) When employing PLUS model simulate LUCC, using continuous NLSD yielded more accurate results than remote sensing image interpretation data. This offers theoretical basis coordinated development Plain, presents method enhance accuracy model.

Language: Английский

Citations

6

Spatial and temporal inequity of urban land use efficiency in China: A perspective of dynamic expansion DOI
Xin Guo, Yan Chen, Ziyi Jia

et al.

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 104, P. 107357 - 107357

Published: Nov. 17, 2023

Language: Английский

Citations

15

High-speed rail in China: Implications for intercity commuting and urban spatial structure DOI
Tao Ren, Hai Huang, Sida Luo

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 97, P. 104719 - 104719

Published: June 16, 2023

Language: Английский

Citations

14

Exploring the complex relationship between industrial upgrading and energy eco-efficiency in river basin cities: a case study of the Yellow River Basin in China DOI
Ruonan Wang, Yi Xiao, Huan Huang

et al.

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133498 - 133498

Published: Oct. 1, 2024

Language: Английский

Citations

5

Spatio–Temporal Patterns and Driving Mechanisms of Urban Land High-Quality Use: Evidence from the Greater Pearl River Delta Urban Agglomeration DOI Creative Commons
Yuying Li, Danling Chen, Xiangqian Tao

et al.

Land, Journal Year: 2024, Volume and Issue: 13(3), P. 277 - 277

Published: Feb. 23, 2024

Efficient urban land use plays a crucial role in promoting regional development and ensuring economic growth. Analyzing the spatio–temporal pattern of high-quality (ULHU) identifying its key influencing factors pathways can contribute to enhancing efficiency achieving development. This study established comprehensive measurement indicator system for evaluating ULHU using entropy method investigated evolution Greater Pearl River Delta (PRD) agglomeration years 2005, 2010, 2015 2020. Furthermore, multi-period fuzzy-set qualitative comparative analysis was adopted explore concurrent driving mechanisms that impact from configuration perspective. The findings reveal level has exhibited significant improvement, increasing 0.1150 2005 0.2758 2020, with an annual growth rate 8.739%. spatial PRD region exhibits incremental distribution, characterized by higher values central lower peripheral area, as this reveals heterogeneity across region. configurations were identified, such Population-industry-talent driven, Openness-fiscal-talent Population-led, Population-industry driven. Among these configurations, population density industrial structure identified core factors, while talent resources is gradually diminishing. provides practical guidance optimizing national planning.

Language: Английский

Citations

4