Exploring the Synergy Between Transport Superiority and the Rural Population System in Yunnan Province: A Temporal and Spatial Analysis for 2013 to 2021

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 762 - 762

Published: April 3, 2025

Yunnan Province, which is located in the mountainous plateau region of China, faces numerous challenges, including population decline rural areas. Achieving coordinated development between transportation and systems crucial for fostering sustainable growth. In this study, we developed a pressure state response (PPSR) model comprehensive transport superiority (TS) that considers influence aviation. We quantified system horizontal across Yunnan’s districts counties period 2013 to 2021, examining their temporal spatial heterogeneity. Using autocorrelation model, also explored trade-offs synergy TS PPSR. The main findings are as follows. (1) From polarization pattern PPSR Province gradually weakened, there were different degrees contraction overall. (2) significantly increased, with aviation conditions having notably positive impact, further strengthening Kunming’s position regional core. (3) Yunnan, relationship significant, collaborative emerging counties, reflecting distinct characteristics degree polarization. This study provides valuable insights integrating urban areas offers new perspective revitalization.

Language: Английский

Urban ecosystem quality assessment based on the improved remote sensing ecological index

PeerJ, Journal Year: 2025, Volume and Issue: 13, P. e19297 - e19297

Published: April 29, 2025

The remote sensing ecological index (RSEI) is an important tool for assessing ecosystem quality. However, its land surface temperature (LST) component poses challenges due to complex calculations and mismatched spatial resolution with other indicators. This study proposed improved (DRSEI). By replacing the LST in RSEI difference (DI) (representing PM2.5 concentration), new better reflects air pollution's impact on results demonstrated that DRSEI outperformed quality Chongqing's urban area. It exhibited three advantages: stronger correlation (EI), standard deviation values closer EI's baseline, lower root mean square error. applicability of varied across different regions: proved be more suitable highly urbanized areas, whereas performed suburban regions. Further analysis revealed variability indicators influenced their loadings principal analysis, thereby affecting assessment results. emphasizes importance considering distribution when constructing indices. findings suggest could effectively assess areas. approach provides insights monitoring environmental management.

Language: Английский