Evidence map›Paper›PMID 41554781›Full record

ArticleScientific reports2026

Exploring spatial heterogeneity and influencing factors of cultural inheritance level in mountain traditional villages: a case of Leishan County.

Haidong Wei, Ligang Fan, Chong Wu

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Haidong WeiCollege of Architecture and Urban Planning, Guizhou University, Guiyang, 550025, China.
Ligang FanZhejiang Geopher Spatial Planning Technology Co., Ltd, Hangzhou, 310000, China.
Chong WuCollege of Architecture and Urban Planning, Guizhou University, Guiyang, 550025, China. cwu@gzu.edu.cn.

Funding

National Natural Science Foundation of China 52468005
6 · The paper itself

Abstract

In Southwest China’s multi-ethnic mountainous regions, fragmented terrain has preserved numerous traditional villages. Yet the progression of urbanization and tourism has eroded cultural heritage in these villages, rendering the preservation-development equilibrium an urgent challenge. Crucially, the specific factors affecting cultural inheritance in local villages require further investigation. To address this gap, this study applied Cultural Ecosystem Theory to evaluate the Cultural Inheritance Level (CIL) of 43 villages in Leishan County, Guizhou. The Multiscale Geographically Weighted Regression (MGWR) model was employed to identify driving factors and quantify their spatially varying impacts. The findings revealed significant regional spatial differentiation in the CIL. Notably, areas with rugged terrain were more affected by positive factors—cultural heritage protection policies. The pressures of mass tourism are negatively correlated with CIL, with amplified effects in tourism-developed regions. This study delivers a CIL assessment framework and targeted policy recommendations for cultural heritage protection within this regional context.

Indexed as

Cultural inheritanceMultiscale geographically weighted regressionRural tourismSpatial differentiationTraditional village

Identifiers

PMID41554781
PMCPMC12864865

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.