Coupling Coordination and Driving Mechanisms of Regional Protection and Development in Traditional Villages of the Loess Hilly and Gully Region, Northern Shaanxi Province DOI Open Access
Yujie Ren, Weiwei Zhao, Yuhan Zhang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10554 - 10554

Published: Dec. 2, 2024

With the rapid urbanization in China, traditional villages are undergoing simultaneous construction and destruction, making it crucial to scientifically balance protection development of these villages. The Loess Hilly Area Northern Shaanxi, one most severely eroded regions world, was chosen as study area. Socio-economic, land use, natural ecological data from 152 this area were analyzed. First, an evaluation model developed assess comprehensive level Next, a coupling coordination spatial autocorrelation employed measure distribution development. Finally, influence combined with geographically weighted regression reveal driving mechanisms promoting between results indicate that (1) levels exhibit contrasting patterns “high east low west” west east”, respectively; (2) nearly half show development, few counties districts achieving better coordination; (3) variation is influenced by regional economic capacity, social resource endowment, policy inclination, various factors influencing different ways. This helps further elucidate relationship provides valuable references for other ecologically fragile areas.

Language: Английский

Spatiotemporal Evolution Characteristics and Causative Analysis of Toponymic Cultural Landscapes in Traditional Villages in Northern Guangdong, China DOI Open Access
Jun Li, Yao Xiao, Junhua Yan

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(1), P. 271 - 271

Published: Jan. 2, 2025

This research focuses on the cultural landscape of traditional village toponyms in northern Guangdong region, aiming to reveal spatial distribution, site selection characteristics, temporal evolution patterns, and influencing factors toponyms. The study employs quantitative statistics ArcGIS analysis methods, combining place name classification kernel density explore mechanisms through which natural human influence distribution. main findings are as follows: (1) Traditional exhibit a characteristic “large dispersion small aggregation” with high-density areas mainly concentrated Meizhou Qingyuan. (2) Natural dominate, showing strong correlation river valley plain environments, while location demonstrates hydrophilicity terrain suitability. Human enrich landscape’s connotation identity social memory, reflecting profound influences Confucian agricultural education traditions immigrant cultures. (3) Economic activities population migrations during historical periods have significantly shaped toponyms, not only promoting distribution patterns but also profoundly affecting naming conventions for emphasizes importance protecting achieving symbiotic relationship between value economic benefits regional tourism development, laying theoretical foundation long-term preservation sustainable development heritage.

Language: Английский

Citations

1

Spatial and Temporal Evolution and Conservation Significance of Traditional Villages in the Yangtze River Basin, China DOI Creative Commons
Yanlong Guo,

J. Rao,

Jie Huang

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(10), P. 3249 - 3249

Published: Oct. 14, 2024

Traditionally, “ancient villages” are communities that date back to a previous era, possess abundant traditional resources, and hold significant historical, social, cultural, ecological, economic significance. This study examines the geographical chronological development of 2957 in Yangtze River Basin extensively employs GIS spatial analysis, geostatistical historical literature review evolution locations settlements under various factors. The study’s findings revealed that: (1) From standpoint, villages area present distribution state “two cores, small aggregation, many dispersions”. two core clusters located at intersection Hunan, Guizhou, Chongqing provinces, where natural advantages attracted people from different dynasties settle here. (2) temporal perspective, quantity shows growing trend, center each dynasty an east–west direction. Among them, shift Song Yuan marked period greatest change village distribution, which originated Dynasty’s quick growth. In addition, was clustered eastern part country, adapting needs commercial trade. When Dynasty fell, society turmoil, were transferred central region avoid war. also laid down fundamental pattern conventional villages. (3) standpoint choosing location, most them distributed mountainous, hilly, plain regions; gentle slopes 0°~15° favored by people. Sufficient water sources, precipitation, suitable climate necessary choices. (4) perspective driving factors, basin is impacted ecological Included among these, inversely connected with socio-economic variables. Under interaction will be more affected. To summarize, complex human geographic factors together create dispersal pattern, examining these elements holds substantial practical importance for comprehending, safeguarding, preserving

Language: Английский

Citations

0

Coupling Coordination and Driving Mechanisms of Regional Protection and Development in Traditional Villages of the Loess Hilly and Gully Region, Northern Shaanxi Province DOI Open Access
Yujie Ren, Weiwei Zhao, Yuhan Zhang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10554 - 10554

Published: Dec. 2, 2024

With the rapid urbanization in China, traditional villages are undergoing simultaneous construction and destruction, making it crucial to scientifically balance protection development of these villages. The Loess Hilly Area Northern Shaanxi, one most severely eroded regions world, was chosen as study area. Socio-economic, land use, natural ecological data from 152 this area were analyzed. First, an evaluation model developed assess comprehensive level Next, a coupling coordination spatial autocorrelation employed measure distribution development. Finally, influence combined with geographically weighted regression reveal driving mechanisms promoting between results indicate that (1) levels exhibit contrasting patterns “high east low west” west east”, respectively; (2) nearly half show development, few counties districts achieving better coordination; (3) variation is influenced by regional economic capacity, social resource endowment, policy inclination, various factors influencing different ways. This helps further elucidate relationship provides valuable references for other ecologically fragile areas.

Language: Английский

Citations

0