Quantitative Analysis of the Evolution of Production–Living–Ecological Space in Traditional Villages: A Comparative Study of Rural Areas in Tibet DOI Creative Commons
Yue Tang, Li Zhu, Xiaokang Wang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1889 - 1889

Published: Nov. 11, 2024

Since the introduction of rural revitalization strategy by 19th National Congress Communist Party China in 2017, there have been significant transformations production–living–ecological space (PLES) within villages. Evaluating and enhancing villages’ PLES are crucial for fostering sustainable development. Therefore, this study utilized a multi-scale environmental assessment model mathematical approach to conduct horizontal vertical nested correlation analyses indicators at different levels through path analysis, Spearman variance entropy weight method, data simulation, other methods establish “three-dimensional” comprehensive evaluation system traditional village PLES. The findings indicate following: (1) ecological villages Tibet significantly impacts overall environment PLES, with components’ impact ranked as follows: > production living space. Furthermore, industry tourism resources show positive PLES; (2) There no differences natural factors, such air relative humidity, temperature, humidity index, wind efficiency index among neighboring cities Tibet. However, they all possess profound cultural heritage; (3) notable disparities between Lhasa Nyingchi, indicating unbalanced It is evident that construction should not only focus on development certain but also pay attention balanced spatial environment. This holds great significance promoting protection efforts these

Language: Английский

Spatial Distribution Characteristics and Driving Factors of 777 National-level Traditional Villages in Yunnan Province: A Study Based on GWR Model and Geodetector DOI Creative Commons
Xi Yuan,

Yijiao Li,

Yuhong Song

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 29, 2024

Abstract Traditional villages (TVs) constitute an integral segment of China’s cultural heritage, encapsulating diverse values. This research scrutinizes 777 national-level TVs spanning six batches in Yunnan Province. Spatial distribution patterns were examined via the nearest neighbor index, kernel density, and Moran’s I. A comprehensive framework for driving factor analysis was devised, encompassing four principal categories twelve subcategories natural, spatial, social, regional factors. The factors influencing at provincial scale analyzed using geographically weighted regression (GWR) models geodetector, thoroughly investigating spatial autocorrelation heterogeneity Yunnan. results reveal: (1) Three nucleus areas Province are discerned western, northwestern, southeastern global I is 0.66, with 61.9% displaying clustering. (2) configuration collectively impacted by factors, exhibiting significant heterogeneity. Natural dictate location development TVs, slopes exerting strongest influence. Among proximity between roads manifests most substantial impact. force per capita GDP, categorized as a social factor, attains value 0.119. Regional present overall force, intangible heritage relic protection units generally demonstrating positive correlation, albeit some negative correlations specific locales. (3) Intangible (X11) emerges single highest bearing p-value 0.326. interaction (X12) reveals robust interactive possessing explanatory power 0.745, indicating that these two power, critical combination. These insights can furnish decision-making support holistic preservation plateau mountainous regions guide sustainable evolution TV clusters

Language: Английский

Citations

1

Spatial Distribution Characteristics and Driving Factors of 777 Traditional Villages in Yunnan Province: A Study Based on GWR Model and Geodetector DOI Creative Commons
Xi Yuan,

Yijiao Li,

Yuhong Song

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2004 - 2004

Published: Nov. 25, 2024

Traditional villages (TVs) are clusters for the conservation of farming civilization heritage with multiple values. Studying their spatial distribution and driving mechanisms is conducive to formulating development strategies. In this study, 777 TVs in Yunnan Province were examined. Spatial analysis methods such as nearest neighbor index (NNI), kernel density estimation (KDE), Moran’s I used investigate patterns. Twelve factors selected from natural, spatial, social, cultural aspects. The affecting explored by employing geographically weighted regression (GWR) model Geodetector combined mathematical statistical systematically study autocorrelation heterogeneity Yunnan. results indicate that: (1) evidently clustered overall distribution, presenting a contiguous concentrated pattern “3 high-density areas + medium-density belts”. However, unbalanced. significantly positively correlated globally, there exist three types clustering local areas. (2) layout jointly influenced factors, obvious heterogeneity. Regional key ones. tend be distributed medium–high elevation, flat slops, sunny slopes, moderate precipitation temperatures, certain distance water sources roads. A large number high proportion ethnic minorities. (3) main national-level intangible heritage, relic protection units, followed transportation, slope, elevation. interaction between (X11) units (X12) reveals strongest interactive force. This diverse characteristics influencing mechanisms, which can provide scientific decision-making basis future guide sustainable TV clusters.

Language: Английский

Citations

1

A theoretical construction of the generation of traditional village resource value: Based on the framework of "technology-institution-subject" DOI

Jiu-xia SUN,

Ming Zhou, Yuning Wang

et al.

自然资源学报, Journal Year: 2024, Volume and Issue: 39(8), P. 1924 - 1924

Published: Jan. 1, 2024

Language: Английский

Citations

0

Quantitative Analysis of the Evolution of Production–Living–Ecological Space in Traditional Villages: A Comparative Study of Rural Areas in Tibet DOI Creative Commons
Yue Tang, Li Zhu, Xiaokang Wang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1889 - 1889

Published: Nov. 11, 2024

Since the introduction of rural revitalization strategy by 19th National Congress Communist Party China in 2017, there have been significant transformations production–living–ecological space (PLES) within villages. Evaluating and enhancing villages’ PLES are crucial for fostering sustainable development. Therefore, this study utilized a multi-scale environmental assessment model mathematical approach to conduct horizontal vertical nested correlation analyses indicators at different levels through path analysis, Spearman variance entropy weight method, data simulation, other methods establish “three-dimensional” comprehensive evaluation system traditional village PLES. The findings indicate following: (1) ecological villages Tibet significantly impacts overall environment PLES, with components’ impact ranked as follows: > production living space. Furthermore, industry tourism resources show positive PLES; (2) There no differences natural factors, such air relative humidity, temperature, humidity index, wind efficiency index among neighboring cities Tibet. However, they all possess profound cultural heritage; (3) notable disparities between Lhasa Nyingchi, indicating unbalanced It is evident that construction should not only focus on development certain but also pay attention balanced spatial environment. This holds great significance promoting protection efforts these

Language: Английский

Citations

0